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Rodríguez-Rodríguez M, Rodríguez-Agudelo Y, Soto-Moreno FJ, García-Santos A, López-González D, González-Navarro M, Paz-Rodríguez F, Chávez-Oliveros M, Lozano-Tovar S, González-Alonso K, Castorena-Maldonado A, Carrillo-Mezo R, Marrufo-Meléndez O, Gutiérrez-Romero A, Del Río Quiñones M, Arauz-Góngora A, Avila-Rios S. Variables associated with cognitive alterations in a cohort of COVID-19 survivors at a third-level hospital in Mexico. Neurologia 2025:S2173-5808(25)00042-2. [PMID: 40403924 DOI: 10.1016/j.nrleng.2025.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 05/08/2023] [Accepted: 05/15/2023] [Indexed: 05/24/2025] Open
Abstract
BACKGROUND Cognitive impairments are one of the most common, insidious, and disabling symptoms of post-COVID-19 syndrome (PC-19), which have been correlated with damage to different brain structures. OBJECTIVE To describe cognitive impairments in PC-19, identify associated variables, and compare the impact of mechanical ventilation on cognitive and neuroimaging outcomes. METHODS A cohort of COVID-19 survivors was evaluated with neuropsychological tests (NPT) and cranial magnetic resonance imaging (MRI) 12 weeks after hospital discharge. Patients were classified into two groups based on whether they required invasive mechanical ventilation (IMV) or non-invasive mechanical ventilation (NIMV). RESULTS 60 patients completed the study, 41 received IMV and 19 NIMV, with an average age of 57.11 years. 66% scored below 26 points on the MoCA test and 83.3% reported everyday memory failures (EMF). 85% showed impairments in at least one NPT. When comparing results between groups, significant differences were observed in the total MoCA test score (p = 0.045) and EMF (p = 0.032). Significant relationships were observed between the Boston Naming Test (-0.287; p = 0.035), the Rey Figure Recall Test (-0.324; p = 0.017) with parietal atrophy, as well as phonological verbal fluency with frontal atrophy (-0.276; p = 0.042). The HVLT (learning trial) test was related to hippocampal hyperintensity (-0.266; p = 0.050) and cingulate hyperintensity (0.311; p = 0.021). The TMT-B test was related to white matter hyperintensity (0.345; p = 0.010). The presence of poor functional prognosis was correlated with anxiety (p < 0.001), depression (p < 0.001), elevated D-dimer levels (p = 0.002) and the increase in days of intubation (p = 0.005). CONCLUSION Our study suggests that COVID-19 survivors who had moderate-to-severe infection experience subjective complaints and cognitive impairments in executive function, attention, and memory, regardless of whether invasive mechanical ventilation was used during treatment. We found white matter lesions and cerebral atrophy in frontal and parietal regions that were associated with cognitive deficits. Our findings highlight the clinical need for longitudinal programmes capable of evaluating the real impact of SARS-CoV-2 infection on the central nervous system, particularly in the cognitive and emotional domains.
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Affiliation(s)
- M Rodríguez-Rodríguez
- Centro de Investigación en Enfermedades Infecciosas-CIENI, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
| | - Y Rodríguez-Agudelo
- Laboratorio de Neuropsicología Clínica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México, Mexico.
| | - F J Soto-Moreno
- Centro de Investigación en Enfermedades Infecciosas-CIENI, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
| | - A García-Santos
- Centro de Investigación en Enfermedades Infecciosas-CIENI, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
| | - D López-González
- Centro de Investigación en Enfermedades Infecciosas-CIENI, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
| | - M González-Navarro
- Centro de Investigación en Enfermedades Infecciosas-CIENI, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
| | - F Paz-Rodríguez
- Laboratorio de Neuropsicología Clínica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México, Mexico
| | - M Chávez-Oliveros
- Laboratorio de Neuropsicología Clínica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México, Mexico
| | - S Lozano-Tovar
- Laboratorio de Neuropsicología Clínica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México, Mexico
| | - K González-Alonso
- Departamento de Imagenología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - A Castorena-Maldonado
- Servicio de Otorrinolaringología y Cirugía de Cabeza y Cuello, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
| | - R Carrillo-Mezo
- Departamento de Imagenología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - O Marrufo-Meléndez
- Departamento de Imagenología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - A Gutiérrez-Romero
- Departamento de Subdirección Médica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - M Del Río Quiñones
- Departamento de Subdirección Médica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - A Arauz-Góngora
- Dirección General, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México, Mexico
| | - S Avila-Rios
- Centro de Investigación en Enfermedades Infecciosas-CIENI, Instituto Nacional de Enfermedades Respiratorias Ismael Cosió Villegas, Ciudad de México, Mexico
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Madden D, Stephens TM, Scott J, O’Neal Swann C, Prather K, Hoffmeister J, Ding L, Dunn IF, Conner AK, Yuan H. Functional connectivity of default mode network in non-hospitalized patients with post-COVID cognitive complaints. Front Neurosci 2025; 19:1576393. [PMID: 40276574 PMCID: PMC12018477 DOI: 10.3389/fnins.2025.1576393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2025] [Accepted: 03/26/2025] [Indexed: 04/26/2025] Open
Abstract
Introduction Neurologic impairment is common in patients with acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. While patients with severe COVID have a higher prevalence of neurologic symptoms, as many as one in five patients with mild COVID may also be affected, exhibiting impaired memory as well as other cognitive dysfunctions. Methods To characterize the effect of COVID on the brain, the current study recruited a group of adults with post-COVID cognitive complaints but with mild, non-hospitalized cases. They were then evaluated through formal neuropsychological testing and underwent functional MRI of the brain. The participants in our study performed nearly as expected for cognitively intact individuals. Additionally, we characterized the functional connectivity of the default mode network (DMN), which is known for cognitive functions including memory as well as the attention functions involved in normal aging and degenerative diseases. Results Along with the retention of functional connectivity in the DMN, our results found the DMN to be associated with neurocognitive performance through region-of-interest and whole-brain analyses. The connectivity between key nodes of the DMN was positively correlated with cognitive scores (r = 0.51, p = 0.02), with higher performers exhibiting higher DMN connectivity. Discussion Our findings provide neuroimaging evidence of the functional connectivity of brain networks among individuals experiencing cognitive deficits beyond the recovery of mild COVID. These imaging outcomes indicate expected functional trends in the brain, furthering understanding and guidance of the DMN and neurocognitive deficits in patients recovering from COVID.
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Affiliation(s)
- Derek Madden
- Stephenson School of Biomedical Engineering, Gallogly College of Engineering, The University of Oklahoma, Norman, OK, United States
| | - Tressie M. Stephens
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jim Scott
- Department of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Christen O’Neal Swann
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Kiana Prather
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jordan Hoffmeister
- Department of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Lei Ding
- Stephenson School of Biomedical Engineering, Gallogly College of Engineering, The University of Oklahoma, Norman, OK, United States
- Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States
| | - Ian F. Dunn
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Andrew K. Conner
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Han Yuan
- Stephenson School of Biomedical Engineering, Gallogly College of Engineering, The University of Oklahoma, Norman, OK, United States
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States
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3
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Nagy B, Protzner AB, Czigler B, Gaál ZA. Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex. GeroScience 2025; 47:1277-1301. [PMID: 39210163 PMCID: PMC11872858 DOI: 10.1007/s11357-024-01324-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024] Open
Abstract
Post-COVID syndrome manifests with numerous neurological and cognitive symptoms, the precise origins of which are still not fully understood. As females and older adults are more susceptible to developing this condition, our study aimed to investigate how post-COVID syndrome alters intrinsic brain dynamics in older adults and whether biological sex and cognitive training might modulate these effects, with a specific focus on older females. The participants, aged between 60 and 75 years, were divided into three experimental groups: healthy old female, post-COVID old female and post-COVID old male. They underwent an adaptive task-switching training protocol. We analysed multiscale entropy and spectral power density of resting-state EEG data collected before and after the training to assess neural signal complexity and oscillatory power, respectively. We found no difference between post-COVID females and males before training, indicating that post-COVID similarly affected both sexes. However, cognitive training was effective only in post-COVID females and not in males, by modulating local neural processing capacity. This improvement was further evidenced by comparing healthy and post-COVID females, wherein the latter group showed increased finer timescale entropy (1-30 ms) and higher frequency band power (11-40 Hz) before training, but these differences disappeared following cognitive training. Our results suggest that in older adults with post-COVID syndrome, there is a pronounced shift from more global to local neural processing, potentially contributing to accelerated neural aging in this condition. However, cognitive training seems to offer a promising intervention method for modulating these changes in brain dynamics, especially among females.
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Affiliation(s)
- Boglárka Nagy
- Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
| | - Andrea B Protzner
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada
| | | | - Zsófia Anna Gaál
- Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
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Wu S, Luo Z, Liu H, Zhu J, Zhu Y, Hou D, Wei T, Liu T, Zheng C, Zhu Z, Huang W, Bai W, Yu X, Yuan H, Bao W, Zhang M, Niu X. Multicentre, multitime, multidimension, prospective follow-up cohort study on patients during the first wave of COVID-19 in China: a study protocol. BMJ Open 2025; 15:e083023. [PMID: 39843379 PMCID: PMC11759204 DOI: 10.1136/bmjopen-2023-083023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/09/2024] [Indexed: 01/24/2025] Open
Abstract
INTRODUCTION During the first wave of the COVID-19 outbreak in China, the surge of COVID-19 cases was rapid and drastic. Emerging evidence suggests that beyond the acute phase, patients with COVID-19 may experience a wide range of postacute or long COVID sequelae. However, the mechanism and burden of COVID-19, especially long COVID, have not yet been comprehensively clarified. To fill this knowledge gap, this large prospective follow-up study aims to investigate the short-term and long-term effects of COVID-19, explore the underlying biological mechanism and identify predictive neuroimaging and haematological biomarkers associated with these effects. METHODS AND ANALYSIS This multicentre study will recruit patients infected during the first wave of COVID-19 in China and healthy controls (HCs) with no history of COVID-19 infection from nine participating hospitals. Confirmed patients with mild or moderate COVID-19 will complete the following programmes during the acute infection phase and at 3, 12 and 24 months after infection: (a) blood test at the local laboratory, (b) multimodal brain and spine MRI scan and (c) the neuropsychological scales and questionnaires. Similarly, the uninfected HCs will complete the same programmes as the infected group mentioned above at the time of inclusion. At the first time point, 501 participants (418 patients and 83 HCs) from nine recruiting hospitals have been observed. Ultimately, all of these results will be analysed to explore the short-term and long-term effects of COVID-19. ETHICS AND DISSEMINATION Ethics approval was granted by Ethics Committee of the First Affiliated Hospital of Xi'an Jiaotong University (XJTU1AF2023LSK-013). Findings will be presented at national and international conferences, as well as published in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER NCT05745805.
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Affiliation(s)
- Shan Wu
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Zhaoyao Luo
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Huiping Liu
- School of Future Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Rehabilitation Medicine Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jia Zhu
- Department of Medical Imaging, Xi'an QinHuang Hospital, Xi'an, Shaanxi, China
| | - Yanan Zhu
- Medical Imaging Centre, Ankang Central Hospital, Ankang, Shaanxi, China
| | - Danwei Hou
- Department of Medical Imaging, Shangluo Central Hospital, Shangluo, Shaanxi, China
| | - Tianhua Wei
- Department of Medical Imaging, Yanan Traditional Chinese Medicine Hospital, Yan'an, Shaanxi, China
| | - Tonghui Liu
- Department of Medical Imaging, No.215 Hospital of Shaanxi Nuclear Geology, Xianyang, Shaanxi, China
| | - Chao Zheng
- Department of Medical Imaging, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Zhimin Zhu
- Department of Medical Imaging, Yulin No.2 Hospital, Xi'an, Shaanxi, China
| | - Weipeng Huang
- Department of Medical Imaging, Baoji High-Tech Hospital, Baoji, Shaanxi, China
| | - Weixian Bai
- Department of Medical Imaging, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, China
| | - Xinyi Yu
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- School of Future Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Huijie Yuan
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Wenrui Bao
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- School of Future Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xuan Niu
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
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Oliveira KB, de Souza FMA, de Sá LBM, Pacheco ALD, Prado MR, de Sousa Rodrigues CF, Bassi ÊJ, Santana-Melo I, Silva-Júnior A, Sabino-Silva R, Shetty AK, de Castro OW. Potential Mechanisms Underlying COVID-19-Mediated Central and Peripheral Demyelination: Roles of the RAAS and ADAM-17. Mol Neurobiol 2025; 62:1151-1164. [PMID: 38965171 DOI: 10.1007/s12035-024-04329-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 06/21/2024] [Indexed: 07/06/2024]
Abstract
Demyelination is among the most conspicuous neurological sequelae of SARS-CoV-2 infection (COVID-19) in both the central (CNS) and peripheral (PNS) nervous systems. Several hypotheses have been proposed to explain the mechanisms underlying demyelination in COVID-19. However, none have considered the SARS-CoV-2's effects on the renin-angiotensin-aldosterone system (RAAS). Therefore, our objective in this review is to evaluate how RAAS imbalance, caused by direct and indirect effects of SARS-CoV-2 infection, could contribute to myelin loss in the PNS and CNS. In the PNS, we propose that demyelination transpires from two significant changes induced by SARS-CoV-2 infection, which include upregulation of ADAM-17 and induction of lymphopenia. Whereas, in the CNS, demyelination could result from RAAS imbalance triggering two alterations: (1) a decrease in angiotensin type II receptor (AT2R) activity, responsible for restraining defense cells' action on myelin; (2) upregulation of ADAM-17 activity, leading to impaired maturation of oligodendrocytes and myelin formation. Thus, we hypothesize that increased ADAM-17 activity and decreased AT2R activity play roles in SARS-CoV-2 infection-mediated demyelination in the CNS.
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Affiliation(s)
- Kellysson Bruno Oliveira
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Fernanda Maria Araujo de Souza
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Letícia Barros Maurício de Sá
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Amanda Larissa Dias Pacheco
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Mariana Reis Prado
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Célio Fernando de Sousa Rodrigues
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Ênio José Bassi
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Igor Santana-Melo
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Abelardo Silva-Júnior
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil
| | - Robinson Sabino-Silva
- Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlândia (UFU), Uberlândia, MG, Brazil
| | - Ashok K Shetty
- Institute for Regenerative Medicine, Department of Cell Biology and Genetics, Texas A&M University School of Medicine, College Station, TX, USA.
- Institute for Regenerative Medicine, Department of Molecular and Cellular Medicine, Texas A&M Health Science Center College of Medicine, College Station, TX, 77843, USA.
| | - Olagide Wagner de Castro
- Institute of Biological Sciences and Health, Federal University of Alagoas (UFAL), Av. Lourival de Melo Mota, Km 14, Campus A. C. Simões, Cidade Universitária, Maceió, AL, CEP, 57072-970, Brazil.
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Nasir SM, Yahya N, Manan HA. Functional brain alterations in COVID-19 patients using resting-state fMRI: a systematic review. Brain Imaging Behav 2024; 18:1582-1601. [PMID: 39347937 DOI: 10.1007/s11682-024-00935-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2024] [Indexed: 10/01/2024]
Abstract
This study systematically reviews the available evidence on resting-state functional magnetic resonance imaging (rs-fMRI) related to neurological symptoms and cognitive declines in COVID-19 patients. We followed PRISMA guidelines and looked up the PubMed, and Scopus databases for articles search on COVID-19 patients with neurological impairments, and functional connectivity alteration using rs-fMRI technique. Articles published between January 1, 2020, and May 31, 2024, are included in this study. The Quality Assessment Tool for Observational Prospective and Cross-Sectional Studies from the National Heart, Lung, and Blood Institute (NHLBI) was used to assess the quality of papers. A total of 15 articles met the inclusion criteria. The result reveals that the most prevalent neurological impairment associated with COVID-19 was cognitive decline, encompassing issues in attention, memory, processing speed, executive functions, language, and visuospatial ability. The brain connectivity results reveal that two brain areas were functionally altered; the prefrontal cortex and parahippocampus. The functional connectivity mainly increased in the frontal, temporal, and anterior piriform cortex, and reduced in the cerebellum, superior orbitofrontal cortex, and middle temporal gyrus, which also correlated with cognitive decline. The findings of neurological symptoms indicate one study reported a Disorder of Consciousness (DoC), and four studies reported COVID-19 patients with olfactory dysfunction. The present study concludes that COVID-19 can alter brain functional connectivity and offers significant insight into how COVID-19 affects the neuronal foundation of cognitive decline and other neurological impairments.
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Affiliation(s)
- Siti Maisarah Nasir
- Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Laboratory), Department of Radiology, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56 000, Cheras, Kuala Lumpur, Malaysia
| | - Noorazrul Yahya
- Diagnostic Imaging & Radiotherapy Program, School of Diagnostic & Applied Health Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Hanani Abdul Manan
- Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Laboratory), Department of Radiology, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56 000, Cheras, Kuala Lumpur, Malaysia.
- Department of Radiology and Intervency, Hospital Pakar Kanak-Kanak (Children Specialist Hospital), Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
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Montgomery S, Vingeliene S, Li H, Backman H, Udumyan R, Jendeberg J, Rasmussen G, Sundqvist M, Fall K, Hiyoshi A, Nyberg F. SARS-CoV-2 infection and risk of subsequent demyelinating diseases: national register-based cohort study. Brain Commun 2024; 6:fcae406. [PMID: 39659973 PMCID: PMC11629974 DOI: 10.1093/braincomms/fcae406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 08/31/2024] [Accepted: 11/12/2024] [Indexed: 12/12/2024] Open
Abstract
Demyelinating diseases including multiple sclerosis are associated with prior infectious exposures, so we assessed whether SARS-CoV-2 infection is associated with subsequent diagnoses of non-multiple sclerosis demyelinating diseases and multiple sclerosis. All residents of Sweden aged 3-100 years were followed between 1 January 2020 and 30 November 2022, excluding those with demyelinating disease prior to 2020, comprising 9 959 818 individuals divided into uninfected and those who were infected were categorized into those with and without hospital admission for the infection as a marker of infection severity. Cox regression assessed the risk of two separate outcomes: hospital diagnosed non-multiple sclerosis demyelinating diseases of the CNS and multiple sclerosis. The exposures were modelled as time-varying covariates (uninfected, infection without hospital admission and infected with hospital admission). Hospital admission for COVID-19 was associated with raised risk of subsequent non-multiple sclerosis demyelinating disease, but only 12 individuals had this outcome among the exposed, and of those, 7 has an unspecified demyelinating disease diagnosis. Rates per 100 000 person-years (and 95% confidence intervals) were 3.8 (3.6-4.1) among those without a COVID-19 diagnosis and 9.0 (5.1-15.9) among those admitted to hospital for COVID-19, with an adjusted hazard ratio and (and 95% confidence interval) of 2.35 (1.32-4.18, P = 0.004). Equivalent associations with multiple sclerosis (28 individuals had this outcome among the exposed) were rates of 9.5 (9.1-9.9) and 21.0 (14.5-30.5) and an adjusted hazard ratio of 2.48 (1.70-3.61, P < 0.001). Only a small number of non-multiple sclerosis demyelinating disease diagnoses were associated with hospital admission for COVID-19, and while the number with multiple sclerosis was somewhat higher, longer duration of follow-up will assist in identifying whether the associations are causal or due to shared susceptibility or surveillance bias, as these diseases can have long asymptomatic and prodromal phases.
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Affiliation(s)
- Scott Montgomery
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 703 62 Örebro, Sweden
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Epidemiology and Public Health, University College London, London WC1E 7HB, UK
| | - Snieguole Vingeliene
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 703 62 Örebro, Sweden
| | - Huiqi Li
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Helena Backman
- Department of Obstetrics and Gynaecology, Faculty of Medicine and Health, Örebro University, 701 85 Örebro, Sweden
| | - Ruzan Udumyan
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 703 62 Örebro, Sweden
| | - Johan Jendeberg
- Department of Radiology, Faculty of Medicine and Health, Örebro University, 701 85 Örebro, Sweden
| | - Gunlög Rasmussen
- Department of Infectious Diseases, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 701 85 Örebro, Sweden
| | - Martin Sundqvist
- Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, 701 85 Örebro, Sweden
| | - Katja Fall
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 703 62 Örebro, Sweden
- The Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Ayako Hiyoshi
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 703 62 Örebro, Sweden
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
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Presti S, Dierna F, Zanghì A, Vecchio M, Lavalle S, Praticò ER, Ruggieri M, Polizzi A. Cerebral Malformations Related to Coronavirus Disease 2019 during Pregnancy. JOURNAL OF PEDIATRIC NEUROLOGY 2024; 22:419-423. [DOI: 10.1055/s-0044-1786785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
AbstractThe pandemic of severe-acute-respiratory-syndrome-related coronavirus (SARS-CoV-2) has shown a wide spectrum of possible consequences in children, ranging from asymptomatic patients to the development of severe conditions, such as multisystem inflammatory syndrome in children and encephalopathies related to cytokine storm. Specifically, neurological and neuroimaging abnormalities, ranging from mild-to-the severe ones, have been documented in children as well, such as postinfectious immune-mediated acute disseminated encephalomyelitis, myelitis, neural enhancement, cranial nerve enhancement, and cortical injury, also without neurological symptoms. Considering the neurotropism of coronaviruses and SARS-CoV-2, which has been well described in the literature, we reviewed the literature reporting possible cerebral malformation in neonates due to the infection of SARS-CoV-2 in pregnancy. Coronavirus disease 2019 (COVID-19) during pregnancy might develop cerebral disorders in several ways. Articles in English in the literature were screened using the following search terms: (1) “brain malformations” AND “COVID-19”; (2) “cerebral malformations” AND “COVID-19”; (3) brain malformations AND “Sars-Cov-2”; (4) “cerebral malformations “AND “Sars-Cov-2.” Considering the congenital brain malformation found in newborns exposed to infection of SARS-Cov-2 pre- or neonatally, we identified one paper which reported three neonates with cerebral malformation. Although sporadic, cerebral malformations like atypical signals in white matter with delayed myelination, brain dysplasia/hypoplasia with delayed myelination, and unusual signals in the periventricular regions have been documented.
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Affiliation(s)
- Santiago Presti
- Pediatrics Postgraduate Residency Program, University of Catania, Catania, Italy
| | - Federica Dierna
- Pediatrics Postgraduate Residency Program, University of Catania, Catania, Italy
| | - Antonio Zanghì
- Department of Medical and Surgical Sciences and Advanced Technologies, Research Center for Surgery of Complex Malformation Syndromes of Transition and Adulthood, University of Catania, Catania, Italy
| | - Michele Vecchio
- Department of Biomedical and Biotechnological Sciences, Rehabilitation Unit, University of Catania, Catania, Italy
| | - Salvatore Lavalle
- Chair of Radiology, Department of Medicine and Surgery, Kore Universisty, Enna, Italy
| | | | - Martino Ruggieri
- Department of Clinical and Experimental Medicine, Unit of Clinical Pediatrics, University of Catania, Catania, Italy
| | - Agata Polizzi
- Chair of Pediatrics, Department of Educational Sciences, University of Catania, Catania, Italy
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9
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Brandes LE, Orme D, Bermeo-Ovalle A, Sierra Morales F. Clinical and diagnostic features of long-COVID patients presenting with neurologic symptoms in Chicago. J Neural Transm (Vienna) 2024; 131:961-969. [PMID: 38847905 DOI: 10.1007/s00702-024-02789-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 05/13/2024] [Indexed: 08/24/2024]
Abstract
Long COVID, a condition characterized by persistent symptoms after COVID-19 infection, is increasingly being recognized worldwide. Neurologic symptoms are frequently reported in survivors of COVID-19, making it crucial to better understand this phenomenon both on a societal scale and for the quality of life of these patients. Between January 1, 2020, and July 31, 2022, Illinois (IL) had a standardized cumulative death rate that ranked it 24th out of the 51 states in the United States (US). However, the US had one of the highest per capita COVID-19 death rates among large, high-income countries. [Bollyky T. et al. 2023] As a result of the increased number of COVID-19 infections, there was a rise in the number of patients experiencing Long COVID. At our neuro-infectious disease clinic in Chicago (IL), we observed an increasing number of patients presenting with cognitive and other neurologic symptoms after contracting COVID-19. Initially, we needed to provide these individuals with a better understanding of their condition and expected outcomes. We were thus motivated to further evaluate this group of patients for any patterns in presentation, neurologic findings, and diagnostic testing that would help us better understand this phenomenon. We aim to contribute to the growing body of research on Long COVID, including its presentation, diagnostic testing results, and outcomes to enlighten the long COVID syndrome. We hypothesize that the neurological symptoms resulting from long COVID persist for over 12 months. We conducted a retrospective analysis of clinical data from 44 patients with long-COVID. Cognitive symptoms were the most common presenting concern. Abnormalities in Montreal Cognitive Assessment, electroencephalogram, serum autoantibody testing, and cerebrospinal fluid were found in minority subsets of our cohort. At 12 months, most patients continue to experience neurologic symptoms, though more than half reported moderate or marked improvement compared to initial presentation. Although most of the patients in this study did not show a consistent occurrence of symptoms suggesting a cohesive underlying etiology, our clinical data demonstrated some features of Long COVID patients in Chicago (IL) that could lead to new research avenues, helping us better understand this syndrome that affects patients worldwide.
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Affiliation(s)
- Lauren E Brandes
- Department of Neurology, Rush University Medical Center, Chicago, USA
| | - Daniel Orme
- Department of Neurology, Rush University Medical Center, Chicago, USA
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10
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De Lorenzo R, Loré NI, Finardi A, Mandelli A, Calesella F, Palladini M, Cirillo DM, Tresoldi C, Ciceri F, Rovere-Querini P, Manfredi AA, Mazza MG, Benedetti F, Furlan R. Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients. Int J Mol Sci 2024; 25:8259. [PMID: 39125829 PMCID: PMC11311410 DOI: 10.3390/ijms25158259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Acute coronavirus disease 2019 (COVID-19) is paralleled by a rise in the peripheral levels of neurofilament light chain (NfL), suggesting early nervous system damage. In a cohort of 103 COVID-19 patients, we studied the relationship between the NfL and peripheral inflammatory markers. We found that the NfL levels are significantly predicted by a panel of circulating cytokines/chemokines, including CRP, IL-4, IL-8, IL-9, Eotaxin, and MIP-1ß, which are highly up-regulated during COVID-19 and are associated with clinical outcomes. Our findings show that peripheral cytokines influence the plasma levels of the NfL, suggesting a potential role of the NfL as a marker of neuronal damage associated with COVID-19 inflammation.
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Affiliation(s)
- Rebecca De Lorenzo
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.D.L.); (N.I.L.); (P.R.-Q.); (A.A.M.)
- Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
| | - Nicola I. Loré
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.D.L.); (N.I.L.); (P.R.-Q.); (A.A.M.)
- Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
| | - Annamaria Finardi
- Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (A.F.); (A.M.); (R.F.)
| | - Alessandra Mandelli
- Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (A.F.); (A.M.); (R.F.)
| | - Federico Calesella
- Faculty of Psychology, Università Vita-Salute San Raffaele, 20132 Milan, Italy; (F.C.); (M.P.)
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Mariagrazia Palladini
- Faculty of Psychology, Università Vita-Salute San Raffaele, 20132 Milan, Italy; (F.C.); (M.P.)
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Daniela M. Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Cristina Tresoldi
- Hematology and Bone Marrow Transplant, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Fabio Ciceri
- Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
- Hematology and Bone Marrow Transplant, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Patrizia Rovere-Querini
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.D.L.); (N.I.L.); (P.R.-Q.); (A.A.M.)
- Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
| | - Angelo A. Manfredi
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.D.L.); (N.I.L.); (P.R.-Q.); (A.A.M.)
- Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
| | - Mario G. Mazza
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Francesco Benedetti
- Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
- Faculty of Psychology, Università Vita-Salute San Raffaele, 20132 Milan, Italy; (F.C.); (M.P.)
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy;
| | - Roberto Furlan
- Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (A.F.); (A.M.); (R.F.)
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11
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Wang Y, Hu Y, Zhao R, Wang Q, Xu J, Yuan J, Dong S, Liu M, Wu C, Jiang R. Cerebral microbleeds in patients with COVID-19: is there an inevitable connection? Brain Commun 2024; 6:fcae236. [PMID: 39229491 PMCID: PMC11369825 DOI: 10.1093/braincomms/fcae236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/11/2024] [Accepted: 07/18/2024] [Indexed: 09/05/2024] Open
Abstract
The COVID-19 pandemic has underscored the critical interplay between systemic infections and neurological complications, notably cerebral microbleeds. This comprehensive review meticulously aggregates and analyses current evidence on cerebral microbleeds' prevalence, pathophysiological underpinnings and clinical implications within COVID-19 cohorts. Our findings reveal a pronounced correlation between cerebral microbleeds and increased severity of COVID-19, emphasizing the role of direct viral effects, inflammatory responses and coagulation disturbances. The documented association between cerebral microbleeds and elevated risks of morbidity and mortality necessitates enhanced neurological surveillance in managing COVID-19 patients. Although variability in study methodologies presents challenges, the cumulative evidence substantiates cerebral microbleeds as a critical illness manifestation rather than mere coincidence. This review calls for harmonization in research methodologies to refine our understanding and guide targeted interventions. Prioritizing the detection and study of neurological outcomes, such as cerebral microbleeds, is imperative for bolstering pandemic response strategies and mitigating the long-term neurological impact on survivors.
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Affiliation(s)
- Yuchang Wang
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yuetao Hu
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ruichen Zhao
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Qi Wang
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jiarui Xu
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jiangyuan Yuan
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Shiying Dong
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Mingqi Liu
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chenrui Wu
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Rongcai Jiang
- Department of Neurosurgery, Tianjin Neurological Institute, State Key Laboratory of Experimental Hematology, Key Laboratory of Post-Neuroinjury Neurorepair and Regeneration in Central Nervous System Tianjin & Ministry of Education, Tianjin Medical University General Hospital, Tianjin 300052, China
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12
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Sun D, Shi Z, Chen H, Du Q, Zhang Y, Wang R, Kong L, Luo W, Lang Y, Wang X, Zhou H. COVID-19 susceptibility, hospitalization and severity and the risk of brain cortical structure: a Mendelian randomization study. QJM 2024; 117:413-421. [PMID: 38195890 DOI: 10.1093/qjmed/hcad291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 12/18/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Observational studies have reported structural changes in the brains of patients with coronavirus disease 2019 (COVID-19); it remains unclear whether these associations are causal. AIM We evaluated the causal effects of COVID-19 susceptibility, hospitalization and severity on cortical structures. DESIGN Mendelian randomization (MR) study. METHODS Data on the different COVID-19 phenotypes were obtained from the latest large-scale genome-wide association study (R7) of the COVID-19 Host Genetics Initiative. Brain structure data, including cortical thickness (TH) and surface area (SA), were obtained from the ENIGMA Consortium. Additionally, we employed the round 5 dataset released in January 2021 as the validation cohort. The inverse-variance weighted (IVW) method was used as the primary analysis in MR. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. We performed enrichment analysis on the MR analyses that passed the sensitivity analysis filtering. RESULTS After IVW and sensitivity analyses, we observed causal associations between COVID-19 susceptibility and rostral middle frontal SAw (P = 0.0308, β = -39.1236), cuneus THw (P = 0.0170, β = -0.0121), medial orbitofrontal THw (P = 0.0002, β = 0.0225), postcentral THw (P = 0.0217, β = -0.0106), temporal pole THw (P = 0.0077, β = 0.0359), medial orbitofrontal SAnw (P = 0.0106, β = -24.0397), medial orbitofrontal THnw (P = 0.0007, β = 0.0232), paracentral SAnw (P = 0.0483, β = -20.1442), rostral middle frontal SAnw (P = 0.0368, β = -81.9719) and temporal pole THnw (P = 0.0429, β = 0.0353). COVID-19 hospitalization had causal effects on medial orbitofrontal THw (P = 0.0053, β = 0.0063), postcentral THw (P = 0.0143, β = -0.0042), entorhinal THnw (P = 0.0142, β = 0.0142), medial orbitofrontal THnw (P = 0.0147, β = 0.0065) and paracentral SAnw (P = 0.0119, β = -7.9970). COVID-19 severity had causal effects on rostral middle frontal SAw (P = 0.0122, β = -11.8296), medial orbitofrontal THw (P = 0.0155, β = 0.0038), superior parietal THw (P = 0.0291, β = -0.0021), lingual SAnw (P = 0.0202, β = -11.5270), medial orbitofrontal THnw (P = 0.0290, β = 0.0039), paracentral SAnw (P = 0.0180, β = -5.7744) and pars triangularis SAnw (P = 0.0151, β = -5.4520). CONCLUSION Our MR results demonstrate a causal relationship between different COVID-19 phenotypes and cortical structures.
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Affiliation(s)
- D Sun
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Z Shi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - H Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Q Du
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Y Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - R Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - L Kong
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - W Luo
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Y Lang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - X Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - H Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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13
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Patil T, Halsey E, Savona N, Radtke M, Smigiel J, Kavuru B, Sekhri A. Evaluation of Neuropsychiatric outcomes in patients hospitalized with COVID-19 in a nationwide Veterans Health Administration cohort. Psychiatry Res 2024; 336:115913. [PMID: 38643518 DOI: 10.1016/j.psychres.2024.115913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 04/23/2024]
Abstract
Hospitalized patients with COVID-19 have an increased risk of developing psychiatric symptoms associated with post-COVID-19 syndrome. We aimed to evaluate the impact of COVID-19 hospitalization on neuropsychiatric healthcare utilization as well as new-onset depression and dementia. This nationwide, retrospective, observational cohort study included hospitalized COVID-19 patients aged 18 years or older across the Veterans Health Administration database from January 1st, 2020 through January 1st, 2022. The COVID-19 group consisted of patients hospitalized with COVID-19 with a positive test within seven days of the hospitalization. The control group consisted of patients hospitalized for reasons other than COVID-19 without a prior positive test or during the study duration. Propensity scores were utilized for 1:1 matching. This study included 50,805 patients in each matched cohort. Average patient population was 69 years old with ∼93 % male. The primary outcome of psychiatry-related hospitalization incidence rates were significantly higher in the COVID-19 group at both 90 days and 180 days. There was also a significant increase in the incidence outpatient mental health visits at 180 days in the COVID-19 cohort. Significantly higher risk of new-onset depression and new-onset dementia in the COVID-19 hospitalization group at 180 days as compared to the non-COVID-19 cohort was noted.
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Affiliation(s)
- Tanvi Patil
- Department of Pharmacy, Clinical Services and Education, 1970 Roanoke Blvd, Salem, VA 24153, Salem Veterans Affair Health Care System, Salem, VA, United States of America.
| | - Emily Halsey
- Department of Pharmacy, Primary Care-Mental Health Integration, Salem Veterans Affair Health Care System, Salem, VA, United States of America
| | - Natalie Savona
- Department of Pharmacy, Pharmacoeconomics, Salem Veterans Affair Health Care System, Salem, VA, United States of America
| | - Michelle Radtke
- Department of Pharmacy, Mental Health, Salem Veterans Affair Health Care System, Salem, VA, United States of America
| | - Joseph Smigiel
- Department of Pharmacy, Mental Health, Salem Veterans Affair Health Care System, Salem, VA, United States of America
| | - Bush Kavuru
- Department of Mental Health, Salem Veterans Affair Health Care System, Salem, VA, United States of America
| | - Anuradha Sekhri
- Department of Mental Health, Salem Veterans Affair Health Care System, Salem, VA, United States of America
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14
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Montalba C. Editorial for "Gray Matter Changes Following Mild COVID-19: An MR Morphometric Study in Healthy Young People". J Magn Reson Imaging 2024; 59:2162-2163. [PMID: 37670484 DOI: 10.1002/jmri.28999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 08/22/2023] [Indexed: 09/07/2023] Open
Affiliation(s)
- Cristian Montalba
- Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile
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15
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Perlaki G, Darnai G, Arató Á, Alhour HA, Szente A, Áfra E, Nagy SA, Horváth R, Kovács N, Dóczi T, Orsi G, Janszky J. Gray Matter Changes Following Mild COVID-19: An MR Morphometric Study in Healthy Young People. J Magn Reson Imaging 2024; 59:2152-2161. [PMID: 37602529 DOI: 10.1002/jmri.28970] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/04/2023] [Accepted: 08/04/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND Although COVID-19 is primarily an acute respiratory infection, 5%-40% of patients develop late and prolonged symptoms with frequent neurological complaints, known as long COVID syndrome. The presentation of the disease suggests that COVID infection may cause functional and/or morphological central nervous system alterations, but studies published in the literature report contradictory findings. PURPOSE To investigate the chronic effects of COVID-19 on cerebral grey matter in a group of young patients without comorbidities, with mild course of COVID infection and no medical complaints at the time of examination. STUDY TYPE Prospective. POPULATION Thirty-eight young (age = 26.6 ± 5.0 years; male/female = 14/24), adult participants who recovered from mild COVID infection without a history of clinical long COVID and 37 healthy control subjects (age = 25.9 ± 2.8 years; male/female = 14/23). FIELD STRENGTH/SEQUENCE Three Tesla, 3D T1-weighted magnetization-prepared rapid gradient-echo, 2D T2-weighted turbo spin-echo. ASSESSMENT MRI-based morphometry and volumetry along with neuropsychological testing and self-assessed questionnaire. STATISTICAL TESTS Fisher's exact test, Mann-Whitney U-test, and multiple linear regression analyses were used to assess differences between COVID and healthy control groups. P < 0.05 was used as cutoff for significance. RESULTS In the COVID group, significantly lower bilateral mean cortical thickness (left/right-hemisphere: 2.51 ± 0.06 mm vs. 2.56 ± 0.07 mm, η2 p = 0.102/2.50 ± 0.06 mm vs. 2.54 ± 0.07 mm, η2 p = 0.101), lower subcortical gray matter (57881 ± 3998 mm3 vs. 60470 ± 5211 mm3, η2 p = 0.100) and lower right olfactory bulb volume (52.28 ± 13.55 mm3 vs. 60.98 ± 15.8 mm3, η2 p = 0.078) were found. In patients with moderate to severe anosmia, cortical thickness was significantly lower bilaterally, as compared to patients without olfactory function loss (left/right-hemisphere: 2.50 ± 0.06 mm vs. 2.56 ± 0.05 mm, η2 = 0.173/2.49 ± 0.06 mm vs. 2.55 ± 0.05 mm, η2 = 0.189). Using further exploratory analysis, significantly reduced cortical thickness was detected locally in the right lateral orbitofrontal cortex in the COVID group (2.53 ± 0.10 mm vs. 2.60 ± 0.09 mm, η2 p = 0.112). DATA CONCLUSION Even without any subjective or objective neurological complaints at the time of the MR scan, subjects in the COVID group showed gray matter alterations in cortical thickness and subcortical gray matter volume. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Gábor Perlaki
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Eötvös Loránd Research Network, Pécs, Hungary
- Pécs Diagnostic Centre, NeuroCT Ltd., Pécs, Hungary
| | - Gergely Darnai
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Eötvös Loránd Research Network, Pécs, Hungary
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
| | - Ákos Arató
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | | | - Anna Szente
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Eszter Áfra
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
| | - Szilvia Anett Nagy
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Eötvös Loránd Research Network, Pécs, Hungary
- Pécs Diagnostic Centre, NeuroCT Ltd., Pécs, Hungary
- Structural Neurobiology Research Group, Szentágothai Research Centre, University of Pecs, Pécs, Hungary
| | - Réka Horváth
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Norbert Kovács
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Tamás Dóczi
- Pécs Diagnostic Centre, NeuroCT Ltd., Pécs, Hungary
- Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
| | - Gergely Orsi
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Eötvös Loránd Research Network, Pécs, Hungary
- Pécs Diagnostic Centre, NeuroCT Ltd., Pécs, Hungary
- Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
| | - József Janszky
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Eötvös Loránd Research Network, Pécs, Hungary
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Rahman A, Russell M, Zheng W, Eckrich D, Ahmed I, On behalf of the N3C Consortium. SARS-CoV-2 infection is associated with an increase in new diagnoses of schizophrenia spectrum and psychotic disorder: A study using the US national COVID cohort collaborative (N3C). PLoS One 2024; 19:e0295891. [PMID: 38814888 PMCID: PMC11139284 DOI: 10.1371/journal.pone.0295891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 03/13/2024] [Indexed: 06/01/2024] Open
Abstract
Amid the ongoing global repercussions of SARS-CoV-2, it is crucial to comprehend its potential long-term psychiatric effects. Several recent studies have suggested a link between COVID-19 and subsequent mental health disorders. Our investigation joins this exploration, concentrating on Schizophrenia Spectrum and Psychotic Disorders (SSPD). Different from other studies, we took acute respiratory distress syndrome (ARDS) and COVID-19 lab-negative cohorts as control groups to accurately gauge the impact of COVID-19 on SSPD. Data from 19,344,698 patients, sourced from the N3C Data Enclave platform, were methodically filtered to create propensity matched cohorts: ARDS (n = 222,337), COVID-19 positive (n = 219,264), and COVID-19 negative (n = 213,183). We systematically analyzed the hazard rate of new-onset SSPD across three distinct time intervals: 0-21 days, 22-90 days, and beyond 90 days post-infection. COVID-19 positive patients consistently exhibited a heightened hazard ratio (HR) across all intervals [0-21 days (HR: 4.6; CI: 3.7-5.7), 22-90 days (HR: 2.9; CI: 2.3 -3.8), beyond 90 days (HR: 1.7; CI: 1.5-1.)]. These are notably higher than both ARDS and COVID-19 lab-negative patients. Validations using various tests, including the Cochran Mantel Haenszel Test, Wald Test, and Log-rank Test confirmed these associations. Intriguingly, our data indicated that younger individuals face a heightened risk of SSPD after contracting COVID-19, a trend not observed in the ARDS and COVID-19 negative groups. These results, aligned with the known neurotropism of SARS-CoV-2 and earlier studies, accentuate the need for vigilant psychiatric assessment and support in the era of Long-COVID, especially among younger populations.
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Affiliation(s)
- Asif Rahman
- Department of Industrial & Management Systems Engineering, West Virginia University, Morgantown, WV, United States of America
| | - Michael Russell
- School of Medicine, West Virginia University, Morgantown, WV, United States of America
| | - Wanhong Zheng
- School of Medicine, West Virginia University, Morgantown, WV, United States of America
| | - Daniel Eckrich
- Nemours Children’s Health, Jacksonville, FL, United States of America
| | - Imtiaz Ahmed
- Department of Industrial & Management Systems Engineering, West Virginia University, Morgantown, WV, United States of America
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17
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Garmoe W, Rao K, Gorter B, Kantor R. Neurocognitive Impairment in Post-COVID-19 Condition in Adults: Narrative Review of the Current Literature. Arch Clin Neuropsychol 2024; 39:276-289. [PMID: 38520374 DOI: 10.1093/arclin/acae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/25/2024] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 virus has, up to the time of this article, resulted in >770 million cases of COVID-19 illness worldwide, and approximately 7 million deaths, including >1.1 million in the United States. Although defined as a respiratory virus, early in the pandemic, it became apparent that considerable numbers of people recovering from COVID-19 illness experienced persistence or new onset of multi-system health problems, including neurologic and cognitive and behavioral health concerns. Persistent multi-system health problems are defined as Post-COVID-19 Condition (PCC), Post-Acute Sequelae of COVID-19, or Long COVID. A significant number of those with PCC report cognitive problems. This paper reviews the current state of scientific knowledge on persisting cognitive symptoms in adults following COVID-19 illness. A brief history is provided of the emergence of concerns about persisting cognitive problems following COVID-19 illness and the definition of PCC. Methodologic factors that complicate clear understanding of PCC are reviewed. The review then examines research on patterns of cognitive impairment that have been found, factors that may contribute to increased risk, behavioral health variables, and interventions being used to ameliorate persisting symptoms. Finally, recommendations are made about ways neuropsychologists can improve the quality of existing research.
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Affiliation(s)
- William Garmoe
- Director of Psychology, MedStar National Rehabilitation Network, Washington, DC, USA
| | - Kavitha Rao
- Clinical Neuropsychologist, MedStar Good Samaritan Hospital, Baltimore, MD, USA
| | - Bethany Gorter
- Neuropsychology Post-Doctoral Fellow, MedStar National Rehabilitation Hospital, Washington, DC, USA
| | - Rachel Kantor
- Neuropsychology Post-Doctoral Fellow, MedStar National Rehabilitation Hospital, Washington, DC, USA
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18
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van der Knaap N, Ariës MJH, van der Horst ICC, Jansen JFA. On the merits and potential of advanced neuroimaging techniques in COVID-19: A scoping review. Neuroimage Clin 2024; 42:103589. [PMID: 38461701 PMCID: PMC10938171 DOI: 10.1016/j.nicl.2024.103589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/29/2024] [Accepted: 03/03/2024] [Indexed: 03/12/2024]
Abstract
Many Coronavirus Disease 2019 (COVID-19) patients are suffering from long-term neuropsychological sequelae. These patients may benefit from a better understanding of the underlying neuropathophysiological mechanisms and identification of potential biomarkers and treatment targets. Structural clinical neuroimaging techniques have limited ability to visualize subtle cerebral abnormalities and to investigate brain function. This scoping review assesses the merits and potential of advanced neuroimaging techniques in COVID-19 using literature including advanced neuroimaging or postmortem analyses in adult COVID-19 patients published from the start of the pandemic until December 2023. Findings were summarized according to distinct categories of reported cerebral abnormalities revealed by different imaging techniques. Although no unified COVID-19-specific pattern could be subtracted, a broad range of cerebral abnormalities were revealed by advanced neuroimaging (likely attributable to hypoxic, vascular, and inflammatory pathology), even in absence of structural clinical imaging findings. These abnormalities are validated by postmortem examinations. This scoping review emphasizes the added value of advanced neuroimaging compared to structural clinical imaging and highlights implications for brain functioning and long-term consequences in COVID-19.
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Affiliation(s)
- Noa van der Knaap
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Research Institute of Mental Health & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Marcel J H Ariës
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Research Institute of Mental Health & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Iwan C C van der Horst
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Research Institute of Mental Health & Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
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19
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Kiyak C, Ijezie OA, Ackah JA, Armstrong M, Cowen J, Cetinkaya D, Burianová H, Akudjedu TN. Topographical Distribution of Neuroanatomical Abnormalities Following COVID-19 Invasion : A Systematic Literature Review. Clin Neuroradiol 2024; 34:13-31. [PMID: 37697012 PMCID: PMC10881816 DOI: 10.1007/s00062-023-01344-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/14/2023] [Indexed: 09/13/2023]
Abstract
PURPOSE This systematic review is aimed at synthesising the literature base to date on the frequency and topographical distribution of neuroanatomical changes seen on imaging following COVID-19 invasion with a focus on both the acute and chronic phases of the disease. METHODS In this study, 8 databases were systematically searched to identify relevant articles published from December 2019 to March 2022 and supplemented with a manual reference search. Data were extracted from the included studies and narrative synthesis was employed to integrate the findings. RESULTS A total of 110 studies met the inclusion criteria and comprised 119,307 participants (including 31,073 acute and 143 long COVID-19 patients manifesting neurological alterations) and controls. Considerable variability in both the localisation and nature of neuroanatomical abnormalities are noted along the continuum with a wide range of neuropathologies relating to the cerebrovascular/neurovascular system, (sub)cortical structures (including deep grey and white matter structures), brainstem, and predominant regional and/or global alterations in the cerebellum with varying degrees of spinal involvement. CONCLUSION Structural regional alterations on neuroimaging are frequently demonstrated in both the acute and chronic phases of SARS-CoV‑2 infection, particularly prevalent across subcortical, prefrontal/frontal and cortico-limbic brain areas as well as the cerebrovascular/neurovascular system. These findings contribute to our understanding of the acute and chronic effects of the virus on the nervous system and has the potential to provide information on acute and long-term treatment and neurorehabilitation decisions.
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Affiliation(s)
- Ceyda Kiyak
- Faculty of Science and Technology, Bournemouth University, Bournemouth, UK
- School of Psychology, University of East Anglia, Norwich, UK
| | | | - Joseph A Ackah
- Institute of Medical Imaging and Visualisation, Faculty of Health and Social Sciences, Bournemouth University, 8 8GP, Bournemouth, UK
| | - Matthew Armstrong
- Department of Rehabilitation & Sports Sciences, Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK
| | - Jake Cowen
- Department of Radiology, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Deniz Cetinkaya
- Faculty of Science and Technology, Bournemouth University, Bournemouth, UK
| | - Hana Burianová
- Faculty of Science and Technology, Bournemouth University, Bournemouth, UK
| | - Theophilus N Akudjedu
- Institute of Medical Imaging and Visualisation, Faculty of Health and Social Sciences, Bournemouth University, 8 8GP, Bournemouth, UK.
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20
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Pezzutti DL, Makary MS. Role of Imaging in Diagnosis and Management of COVID-19: Evidence-Based Approaches. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1457:237-246. [PMID: 39283430 DOI: 10.1007/978-3-031-61939-7_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Imaging has been demonstrated to play a crucial role in both the diagnosis and management of COVID-19. Depending on resources, pre-test probability, and risk factors for severe disease progression, real-time polymerase chain reaction (RT-PCR) testing may be followed by chest radiography (CXR) or chest computed tomography (CT) to further aid in diagnosis or excluding COVID-19 disease. SARS-CoV-2 has been shown not only to pathologically impact the pulmonary system, but also the cardiovascular, gastrointestinal, and neurological systems to name a few. Imaging has again proven useful in further investigating and managing extrapulmonary disease, with the use of echocardiogram, CT angiography of the cardiovascular and cerebrovascular structures, MRI of the brain, as well as ultrasound of the abdomen and CT of the abdomen and pelvis proving particularly useful. Research in artificial intelligence and its application in the diagnosis of COVID-19 and disease severity prediction is underway, and point-of-care ultrasound is an emerging bedside technique that may allow for more efficient and timely diagnosis of COVID-19.
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Affiliation(s)
- Dante L Pezzutti
- Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Ave, 4th Floor, Columbus, OH, 43210, USA
| | - Mina S Makary
- Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Ave, 4th Floor, Columbus, OH, 43210, USA.
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21
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Sen S, Newman-Norlund R, Riccardi N, Rorden C, Newman-Norlund S, Sayers S, Fridriksson J, Logue M. Cerebral blood flow in patients recovered from mild COVID-19. J Neuroimaging 2023; 33:764-772. [PMID: 37265421 PMCID: PMC11205277 DOI: 10.1111/jon.13129] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND AND PURPOSE Cerebral hypoperfusion has been described in both severe and mild forms of symptomatic Coronavirus Disease 2019 (COVID-19) infection. The purpose of this study was to investigate global and regional cerebral blood flow (CBF) in asymptomatic COVID-19 patients. METHODS Cases with mild COVID-19 infection and age-, sex-, and race-matched healthy controls were drawn from the Aging Brain Consortium at The University of South Carolina data repository. Demographics, risk factors, and data from the Montreal Cognitive Assessment were collected. Mean CBF values for gray matter (GM), white matter (WM), and the whole brain were calculated by averaging CBF values of standard space-normalized CBF image values falling within GM and WM masks. Whole brain region of interest-based analyses were used to create standardized CBF maps and explore differences between groups. RESULTS Twenty-eight cases with prior mild COVID-19 infection were compared with 28 controls. Whole-brain CBF (46.7 ± 5.6 vs. 49.3 ± 3.7, p = .05) and WM CBF (29.3 ± 2.6 vs. 31.0 ± 1.6, p = .03) were noted to be significantly lower in COVID-19 cases as compared to controls. Predictive models based on these data predicted COVID-19 group membership with a high degree of accuracy (85.2%, p < .001), suggesting CBF patterns are an imaging marker of mild COVID-19 infection. CONCLUSION In this study, lower WM CBF, as well as widespread regional CBF changes identified using quantitative MRI, was found in mild COVID-19 patients. Further studies are needed to determine the reliability of this newly identified COVID-19 brain imaging marker and determine what drives these CBF changes.
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Affiliation(s)
- Souvik Sen
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Roger Newman-Norlund
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Nicholas Riccardi
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Christopher Rorden
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Sarah Newman-Norlund
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Sara Sayers
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Julius Fridriksson
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
| | - Makenzie Logue
- Department of Neurology, University of South Carolina, Columbia, South Carolina, USA
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22
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He SDQ, Lee JH, Prahlow JA. COVID-19-Related Suicides-Public Health Role of Forensic Pathologists. Am J Forensic Med Pathol 2023; 44:197-203. [PMID: 37318125 PMCID: PMC10627398 DOI: 10.1097/paf.0000000000000850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
ABSTRACT Concerns about potential increases in suicidal behavior during the coronavirus disease 2019 (COVID-19) pandemic arose in response to reported widespread mental health deterioration. Although early data did not corroborate such concerns, suicide remains a significant cause of preventable deaths worldwide and is of significant interest to public health in the setting of a pandemic. In this study, we present 17 cases of COVID-19-related suicides seen in our West Michigan Medical Examiner's office from 2020 to 2022, which exhibit the complex relationship between mental health and pandemic-related psychological, social, and economic stressors. The relationships were generally categorized as increased anxiety and/or stress due to COVID-19 (5/17 [29.4%]), the loss of social support and/or social isolation occurring as a result of COVID-19 restrictions (5/17 [29.4%]), financial concerns or loss of income as a result of COVID-19 policies (3/17 [17.6%]), grief related specifically to COVID-19 (2/17 [11.8%]), and purported neuropsychiatric sequelae of a prior COVID-19 infection (2/17 [11.8%]). By examining these cases, we highlight ways in which public health systems might prepare for and respond to mental health crises during current or future pandemics and the need for increased collaboration between forensic pathologists and epidemiologists in collating high-quality data during death investigations.
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23
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Li C, Verduzco-Gutierrez M. Neurologic and Neuromuscular Sequelae of COVID-19. Phys Med Rehabil Clin N Am 2023; 34:539-549. [PMID: 37419530 DOI: 10.1016/j.pmr.2023.04.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2023]
Abstract
It is known that there can be neurologic complications related to acute infection with SARS-CoV-2, the virus that causes COVID-19. Currently, there is a growing body of evidence that postacute sequelae of SARS-CoV-2 infection can manifest as neurologic sequelae as a result of direct neuroinvasion, autoimmunity, and possibly lead to chronic neurodegenerative processes. Certain complications can be associated with worse prognosis, lower functional outcome, and higher mortality. This article provides an overview of the known pathophysiology, symptoms presentation, complications and treatment approaches of the post-acute neurologic and neuromuscular sequelae of SARS-CoV-2 infection.
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Affiliation(s)
- Carol Li
- Department of Rehabilitation Medicine, Long School of Medicine at University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC 7798, San Antonio, TX 78229, USA; Polytrauma Outpatient Neurorehabilitation Services, Audie L. Murphy VA Medical Center; Polytrauma Rehabilitation Center, P168, 7400 Merton Minter, San Antonio, TX 78229, USA.
| | - Monica Verduzco-Gutierrez
- Department of Rehabilitation Medicine, Long School of Medicine at University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC 7798, San Antonio, TX 78229, USA
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24
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Shaddad AMAK, Hussein AARM, Tohamy AMA, Khaleel WGE. Cognitive impact on patients with COVID-19 infection. THE EGYPTIAN JOURNAL OF BRONCHOLOGY 2023; 17:38. [DOI: 10.1186/s43168-023-00213-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/20/2023] [Indexed: 09/02/2023] Open
Abstract
Abstract
Background
SARS‐COV‐2 infection reframed medical knowledge in many aspects, yet there is still a lot to be discovered. Coronavirus disease 19 (COVID-19) can cause neuropsychiatric, psychological, and psychosocial impairments. Literature regarding the cognitive impact of COVID-19 is still limited.
This study aims to evaluate cognitive function, anxiety, and depression among patients with coronavirus disease 19.
Methods
Sixty COVID-19 patients were recruited and sub-grouped according to the site of care into three groups, home isolation, ward, and RICU, and compared with 60 matched control participants. Entire clinical history, O2 saturation, mini-mental state examination (MMSE), Hamilton’s anxiety (HAM-A), and depression rating scales (HAM-D) were assessed.
Results
MMSE showed significantly lowest results for the ICU group, with a value of 21.65 ± 3.52. Anxiety levels were the highest for the ICU group, with a highly significant difference vs. the home isolation group (42.45 ± 4.85 vs. 27.05 ± 9.52; p< 0.001). Depression values assessed showed a highly significant difference in intergroup comparison (44.8 ± 6.64 vs. 28.7 ± 7.54 vs. 31.25 ± 8.89; p<0.001, for ICU vs. ward vs. home group, respectively).
MMSE revealed a significant negative correlation with age and education level, anxiety level had significant negative correlations with severity of illness and male gender, and depression level had highly significant negative correlations with severity of illness and male gender.
Conclusion
Both cognitive and neuropsychiatric symptoms were affected in COVID-19 cases, especially in ICU-admitted patients. The impact of these disorders was significant in older age, lower oxygen saturation, and severe disease.
Trial registration
ClinicalTrials.gov. NCT05293561. Registered on March 24, 2022.
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25
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Zhang YY, Ren KD, Luo XJ, Peng J. COVID-19-induced neurological symptoms: focus on the role of metal ions. Inflammopharmacology 2023; 31:611-631. [PMID: 36892679 PMCID: PMC9996599 DOI: 10.1007/s10787-023-01176-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 02/23/2023] [Indexed: 03/10/2023]
Abstract
Neurological symptoms are prevalent in both the acute and post-acute phases of coronavirus disease 2019 (COVID-19), and they are becoming a major concern for the prognosis of COVID-19 patients. Accumulation evidence has suggested that metal ion disorders occur in the central nervous system (CNS) of COVID-19 patients. Metal ions participate in the development, metabolism, redox and neurotransmitter transmission in the CNS and are tightly regulated by metal ion channels. COVID-19 infection causes neurological metal disorders and metal ion channels abnormal switching, subsequently resulting in neuroinflammation, oxidative stress, excitotoxicity, neuronal cell death, and eventually eliciting a series of COVID-19-induced neurological symptoms. Therefore, metal homeostasis-related signaling pathways are emerging as promising therapeutic targets for mitigating COVID-19-induced neurological symptoms. This review provides a summary for the latest advances in research related to the physiological and pathophysiological functions of metal ions and metal ion channels, as well as their role in COVID-19-induced neurological symptoms. In addition, currently available modulators of metal ions and their channels are also discussed. Collectively, the current work offers a few recommendations according to published reports and in-depth reflections to ameliorate COVID-19-induced neurological symptoms. Further studies need to focus on the crosstalk and interactions between different metal ions and their channels. Simultaneous pharmacological intervention of two or more metal signaling pathway disorders may provide clinical advantages in treating COVID-19-induced neurological symptoms.
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Affiliation(s)
- Yi-Yue Zhang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, China
- Department of Laboratory Medicine, The Third Xiangya Hospital of Central South University, Changsha, 410013, China
| | - Kai-Di Ren
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Xiu-Ju Luo
- Department of Laboratory Medicine, The Third Xiangya Hospital of Central South University, Changsha, 410013, China.
| | - Jun Peng
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, China.
- Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, China.
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26
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Oliveira KB, de Melo IS, da Silva BRM, Oliveira KLDS, Sabino-Silva R, Anhezini L, Katayama PL, Santos VR, Shetty AK, de Castro OW. SARS-CoV-2 and Hypertension: Evidence Supporting Invasion into the Brain Via Baroreflex Circuitry and the Role of Imbalanced Renin-Angiotensin-Aldosterone-System. Neurosci Insights 2023; 18:26331055231151926. [PMID: 36756280 PMCID: PMC9900164 DOI: 10.1177/26331055231151926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 01/04/2023] [Indexed: 02/05/2023] Open
Abstract
Hypertension is considered one of the most critical risk factors for COVID-19. Evidence suggests that SARS-CoV-2 infection produces intense effects on the cardiovascular system by weakening the wall of large vessels via vasa-vasorum. In this commentary, we propose that SARS-CoV-2 invades carotid and aortic baroreceptors, leading to infection of the nucleus tractus solitari (NTS) and paraventricular hypothalamic nucleus (PVN), and such dysregulation of NTS and PVN following infection causes blood pressure alteration at the central level. We additionally explored the hypothesis that SARS-CoV-2 favors the internalization of membrane ACE2 receptors generating an imbalance of the renin-angiotensin-aldosterone system (RAAS), increasing the activity of angiotensin II (ANG-II), disintegrin, and metalloproteinase 17 domain (ADAM17/TACE), eventually modulating the integration of afferents reaching the NTS from baroreceptors and promoting increased blood pressure. These mechanisms are related to the increased sympathetic activity, which leads to transient or permanent hypertension associated with SARS-CoV-2 invasion, contributing to the high number of deaths by cardiovascular implications.
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Affiliation(s)
- Kellysson Bruno Oliveira
- Department of Physiology, Institute of
Biological Sciences and Health, Federal University of Alagoas (UFAL), Maceió,
Alagoas, Brazil
| | - Igor Santana de Melo
- Department of Physiology, Institute of
Biological Sciences and Health, Federal University of Alagoas (UFAL), Maceió,
Alagoas, Brazil
| | - Bianca Rodrigues Melo da Silva
- Department of Physiology, Institute of
Biological Sciences and Health, Federal University of Alagoas (UFAL), Maceió,
Alagoas, Brazil
| | - Keylla Lavínia da Silva Oliveira
- Department of Physiology, Institute of
Biological Sciences and Health, Federal University of Alagoas (UFAL), Maceió,
Alagoas, Brazil
| | - Robinson Sabino-Silva
- Department of Physiology, Institute of
Biomedical Sciences, Federal University of Uberlandia (UFU), Uberlândia, Minas
Gerais, Brazil
| | - Lucas Anhezini
- Department of Histology, Institute of
Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas,
Brazil
| | - Pedro Lourenco Katayama
- Department of Physiology and Pathology,
Dentistry School of Araraquara, São Paulo State University, Araraquara, São Paulo,
Brazil
| | - Victor Rodrigues Santos
- Department of Morphology, Institute of
Biological Science, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas
Gerais, Brazil
| | - Ashok K Shetty
- Institute for Regenerative Medicine,
Department of Cell Biology and Genetics, Texas A&M University School of
Medicine, College Station, TX, USA
| | - Olagide Wagner de Castro
- Department of Physiology, Institute of
Biological Sciences and Health, Federal University of Alagoas (UFAL), Maceió,
Alagoas, Brazil,Olagide Wagner de Castro, Institute of
Biological Sciences and Health, Federal University of Alagoas (UFAL), Av.
Lourival de Melo Mota, km 14, Campus A. C. Simões, Cidade Universitária, Maceió,
Alagoas CEP 57072-970, Brazil.
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27
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Samper-Pardo M, Oliván-Blázquez B, Magallón-Botaya R, Méndez-López F, Bartolomé-Moreno C, León-Herrera S. The emotional well-being of Long COVID patients in relation to their symptoms, social support and stigmatization in social and health services: a qualitative study. BMC Psychiatry 2023; 23:68. [PMID: 36698111 PMCID: PMC9875186 DOI: 10.1186/s12888-022-04497-8] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/26/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Long COVID patients have experienced a decline in their quality of life due to, in part but not wholly, its negative emotional impact. Some of the most prevalent mental health symptoms presented by long COVID patients are anxiety, depression, and sleep disorders. As such, the need has arisen to analyze the personal experiences of these patients to understand how they are managing their daily lives while dealing with the condition. The objective of this study is to increase understanding about the emotional well-being of people diagnosed with long COVID. METHODS A qualitative design was created and carried out using 35 patients, with 17 participants being interviewed individually and 18 of them taking part in two focus groups. The participating patients were recruited in November and December 2021 from Primary Health Care (PHC) centers in the city of Zaragoza (Northern Spain) and from the Association of Long COVID Patients in Aragon. The study topics were emotional well-being, social support networks, and experience of discrimination. All an inductive thematic content analyses were performed iteratively using NVivo software. RESULTS The Long COVID patients identified low levels of self-perceived well-being due to their persistent symptoms, as well as limitations in their daily lives that had been persistent for many months. Suicidal thoughts were also mentioned by several patients. They referred to anguish and anxiety about the future as well as a fear of reinfection or relapse and returning to work. Many of the participants reported that they have sought the help of a mental health professional. Most participants identified discriminatory situations in health care. CONCLUSIONS It is necessary to continue researching the impact that Long COVID has had on mental health, as well as to provide Primary Health Care professionals with evidence that can guide the emotional treatment of these patients.
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Affiliation(s)
- M Samper-Pardo
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
| | - B Oliván-Blázquez
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain.
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain.
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain.
| | - R Magallón-Botaya
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain
- Department of Medicine, University of Zaragoza, Zaragoza, Spain
| | - F Méndez-López
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
| | - C Bartolomé-Moreno
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain
- Department of Medicine, University of Zaragoza, Zaragoza, Spain
| | - S León-Herrera
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
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28
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Rani Saggu S, Preethi L, Satapathy P, Manna S, Sai Tipirisetty E, Perween Afsar A, Ravindra K, Chakravarty K, Irfan FB, Sah R, Kumar Padhi B. Acute necrotizing encephalitis outbreak in India: A little-known disease among the adult population. Brain Behav Immun 2023; 107:383-384. [PMID: 36371011 DOI: 10.1016/j.bbi.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/02/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022] Open
Affiliation(s)
- Sofia Rani Saggu
- Department of Public Health Nutrition, Sam Higginbottom University of Agriculture Technologies and Sciences, Allahabad, India
| | - L Preethi
- Department of Pharmacy Practice, SRM College of Pharmacy, SRM Institute of Science and Technology, Tamil Nadu, India
| | - Prakasini Satapathy
- Department of Virology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | | | | | | | - Khaiwal Ravindra
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Kamalesh Chakravarty
- Department of Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Furqan B Irfan
- Department of Neurology and Ophthalmology, College of Osteopathic Medicine, Michigan State University, East Lansing, Michigan, USAnstitute of Global Health, Michigan State University, East Lansing, MI, USA
| | - Ranjit Sah
- Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Bijaya Kumar Padhi
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
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29
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Shan D, Li S, Xu R, Nie G, Xie Y, Han J, Gao X, Zheng Y, Xu Z, Dai Z. Post-COVID-19 human memory impairment: A PRISMA-based systematic review of evidence from brain imaging studies. Front Aging Neurosci 2022; 14:1077384. [PMID: 36570532 PMCID: PMC9780393 DOI: 10.3389/fnagi.2022.1077384] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
Many people with coronavirus disease 2019 (COVID-19) report varying degrees of memory impairment. Neuroimaging techniques such as MRI and PET have been utilized to shed light on how COVID-19 affects brain function in humans, including memory dysfunction. In this PRISMA-based systematic review, we compared and summarized the current literature looking at the relationship between COVID-19-induced neuropathological changes by neuroimaging scans and memory symptoms experienced by patients who recovered from COVID-19. Overall, this review suggests a correlational trend between structural abnormalities (e.g., cortical atrophy and white matter hyperintensities) or functional abnormalities (e.g., hypometabolism) in a wide range of brain regions (particularly in the frontal, parietal and temporal regions) and memory impairments in COVID-19 survivors, although a causal relationship between them remains elusive in the absence of sufficient caution. Further longitudinal investigations, particularly controlled studies combined with correlational analyses, are needed to provide additional evidence.
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Affiliation(s)
- Dan Shan
- Department of Biobehavioral Sciences, Columbia University, New York, NY, United States
| | - Shaoyang Li
- Faculty of Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Ruichen Xu
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI, United States
| | - Glen Nie
- Department of Biological Science, Northeastern University, Boston, MA, United States
| | - Yangyiran Xie
- School of Medicine, Vanderbilt University, Nashville, TN, United States
| | - Junchu Han
- New York State Psychiatric Institute, Global Psychiatric Epidemiology Group, New York, NY, United States
| | - Xiaoyi Gao
- School of Medicine, Saint Louis University, St. Louis, MO, United States
| | - Yuandian Zheng
- Department of Biobehavioral Sciences, Columbia University, New York, NY, United States
| | - Zhen Xu
- Minhang Crosspoint Academy at Shanghai Wenqi Middle School, Shanghai, China
| | - Zhihao Dai
- School of Medicine, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
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30
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Fricchione GL, Paul AB, Chemali Z, Kritzer MD. Case 34-2022: A 57-Year-Old Woman with Covid-19 and Delusions. N Engl J Med 2022; 387:1795-1803. [PMID: 36351271 PMCID: PMC9730912 DOI: 10.1056/nejmcpc2115857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Gregory L Fricchione
- From the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Massachusetts General Hospital, and the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Harvard Medical School - both in Boston
| | - Aaron B Paul
- From the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Massachusetts General Hospital, and the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Harvard Medical School - both in Boston
| | - Zeina Chemali
- From the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Massachusetts General Hospital, and the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Harvard Medical School - both in Boston
| | - Michael D Kritzer
- From the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Massachusetts General Hospital, and the Departments of Psychiatry (G.L.F., Z.C., M.D.K.), Radiology (A.B.P.), and Neurology (Z.C.), Harvard Medical School - both in Boston
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31
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Catalogna M, Sasson E, Hadanny A, Parag Y, Zilberman-Itskovich S, Efrati S. Effects of hyperbaric oxygen therapy on functional and structural connectivity in post-COVID-19 condition patients: A randomized, sham-controlled trial. Neuroimage Clin 2022; 36:103218. [PMID: 36208548 PMCID: PMC9528018 DOI: 10.1016/j.nicl.2022.103218] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Post-COVID-19 condition refers to a range of persisting physical, neurocognitive, and neuropsychological symptoms after SARS-CoV-2 infection. Abnormalities in brain connectivity were found in recovered patients compared to non-infected controls. This study aims to evaluate the effect of hyperbaric oxygen therapy (HBOT) on brain connectivity in post-COVID-19 patients. METHODS In this randomized, sham-controlled, double-blind trial, 73 patients were randomized to receive 40 daily sessions of HBOT (n = 37) or sham treatment (n = 36). We examined pre- and post-treatment resting-state brain functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) scans to evaluate functional and structural connectivity changes, which were correlated to cognitive and psychological distress measures. RESULTS The ROI-to-ROI analysis revealed decreased internetwork connectivity in the HBOT group which was negatively correlated to improvements in attention and executive function scores (p < 0.001). Significant group-by-time interactions were demonstrated in the right hippocampal resting state function connectivity (rsFC) in the medial prefrontal cortex (PFWE = 0.002). Seed-to-voxel analysis also revealed a negative correlation in the brief symptom inventory (BSI-18) score and in the rsFC between the amygdala seed, the angular gyrus, and the primary sensory motor area (PFWE = 0.012, 0.002). Positive correlations were found between the BSI-18 score and the left insular cortex seed and FPN (angular gyrus) (PFWE < 0.0001). Tractography based structural connectivity analysis showed a significant group-by-time interaction in the fractional anisotropy (FA) of left amygdala tracts (F = 7.81, P = 0.007). The efficacy measure had significant group-by-time interactions (F = 5.98, p = 0.017) in the amygdala circuit. CONCLUSIONS This study indicates that HBOT improves disruptions in white matter tracts and alters the functional connectivity organization of neural pathways attributed to cognitive and emotional recovery in post-COVID-19 patients. This study also highlights the potential of structural and functional connectivity analysis as a promising treatment response monitoring tool.
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Affiliation(s)
- Merav Catalogna
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Efrat Sasson
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Amir Hadanny
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; Sackler School of Medicine, Tel- Aviv University, Tel-Aviv, Israel
| | - Yoav Parag
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Shani Zilberman-Itskovich
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; Sackler School of Medicine, Tel- Aviv University, Tel-Aviv, Israel
| | - Shai Efrati
- Sagol Center for Hyperbaric Medicine and Research, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; Sackler School of Medicine, Tel- Aviv University, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.
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Gut Microbiota Dynamics in Relation to Long-COVID-19 Syndrome: Role of Probiotics to Combat Psychiatric Complications. Metabolites 2022; 12:metabo12100912. [PMID: 36295814 PMCID: PMC9611210 DOI: 10.3390/metabo12100912] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/11/2022] [Accepted: 09/19/2022] [Indexed: 11/17/2022] Open
Abstract
Increasing numbers of patients who recover from COVID-19 report lasting symptoms, such as fatigue, muscle weakness, dementia, and insomnia, known collectively as post-acute COVID syndrome or long COVID. These lasting symptoms have been examined in different studies and found to influence multiple organs, sometimes resulting in life-threating conditions. In this review, these symptoms are discussed in connection to the COVID-19 and long-COVID-19 immune changes, highlighting oral and psychiatric health, as this work focuses on the gut microbiota’s link to long-COVID-19 manifestations in the liver, heart, kidney, brain, and spleen. A model of this is presented to show the biological and clinical implications of gut microbiota in SARS-CoV-2 infection and how they could possibly affect the therapeutic aspects of the disease. Probiotics can support the body’s systems in fighting viral infections. This review focuses on current knowledge about the use of probiotics as adjuvant therapies for COVID-19 patients that might help to prevent long-COVID-19 complications.
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Rashidi A, Fritz J. Sports Imaging of COVID-19: A Multi-Organ System Review of Indications and Imaging Findings. Sports Health 2022; 14:618-631. [PMID: 35746891 PMCID: PMC9460088 DOI: 10.1177/19417381221106448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in December 2019 in Wuhan, China. Although coronavirus disease-19 (COVID-19) affects every population group, the sports community and athletes require special consideration of the effects on cardiovascular, musculoskeletal, neurologic, and respiratory systems. A comprehensive understanding of imaging indications, findings, and features of COVID-19 supports appropriate imaging utilization and effective patient management and treatment. PURPOSE To review the spectrum of sports imaging in COVID-19 infection, organ system manifestations, vaccine effects, and complications in recreational and competitive athletes. STUDY DESIGN Narrative review. LEVEL OF EVIDENCE Levels 4 and 5. METHODS Based on a PubMed database search, studies describing the imaging findings of COVID-19 infection, organ system manifestations, vaccine effects, and complications in recreational and competitive athletes were included. RESULTS On March 11, 2020, World Health Organization officially declared COVID-19 a global pandemic. As of May 9, 2022, more than 515 million confirmed cases of COVID-19 were reported globally. While the multisystem effects of COVID-19 are incompletely understood, the role of imaging in diagnosing, monitoring, and prognosticating active disease, long-term effects, and complications is evolving. In the respiratory system, imaging plays an important role in diagnosing, characterizing, and monitoring pulmonary COVID-19 infections, barotrauma, and COVID-19-associated chronic pulmonary opacities and fibrotic-like lung changes. Ultrasonography, computed tomography, and magnetic resonance imaging aid in the timely diagnosis of ischemic, embolic, and thrombotic peripheral and central cardiovascular events, including deep venous thrombosis, pulmonary embolism, myocarditis, and stroke. COVID-19-associated musculoskeletal and peripheral nervous system manifestations include rhabdomyolysis and myonecrosis, plexus and peripheral neuropathies, Guillain-Barré syndrome, and shoulder injury related to vaccine administration. CONCLUSION In athletes, COVID-19 infections and associated effects on cardiovascular, musculoskeletal, neurologic, and respiratory systems require special consideration. With the increasing understanding of the multisystem effects of COVID-19, the role of imaging in diagnosing, monitoring, and prognosticating active disease, long-term effects, and complications is evolving. A comprehensive understanding of imaging indications, COVID-19 imaging features, and organ system effects aids in appropriate imaging utilization and effective patient management and treatments.
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Affiliation(s)
- Ali Rashidi
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA
| | - Jan Fritz
- Department of Radiology, NYU Grossman School of Medicine, New York, New York
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34
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Proposal of a Model for the Analysis of the State of the Use of ICT in Education Applied to Technological Institutes of Higher Education. COMPUTERS 2022. [DOI: 10.3390/computers11070112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The inclusion of information and communication technologies in education has become a priority for all educational models, particularly for higher education institutes that have observed the need to integrate these technologies in the classroom. However, to guarantee educational quality and learning, establishing a process that allows the identification of the response of the students towards its use is necessary. For this purpose, there are several works that address the issue and have determined the functionality of these technologies, but each environment is different, and this is recognized by the higher education institutes of Ecuador that have limited economic, technological, and academic resources. This work seeks to create a method that allows the needs and doubts of students about the use of educational technologies in the classroom to be established without affecting their academic performance. To perform this, a process has been designed that identifies learning needs through the validation of data obtained from surveys and a comparison of two groups of students, in which one group makes use of technologies in the classroom and the other group uses a model of traditional education. By obtaining the results of the analysis, the method determines the impact of technology on learning.
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35
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Identification of the Consequences of COVID-19 through the Analysis of Data Obtained in Surveys of a Specific Population. INFORMATICS 2022. [DOI: 10.3390/informatics9020046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The pandemic caused by the 2019 coronavirus disease has marked a total change in the development of society. Since then, its effects have been visible in people, both in work, education and psychological areas. There are many jobs and organizations that have set out to identify the reality of people after the pandemic and how the pandemic has affected their daily lives. To do this, countries have organized data and statistics collection campaigns that allow investigating the new needs of people. With this, instruments such as surveys have become more relevant and valid to know what these needs are. However, the analysis processes must guarantee answers that are able to determine the direct impact that each question has on people’s feelings. This work proposes a framework to determine the incidence values of surveys based on their categories and questions and how they capture the reality of people in areas such as education, the impact of work, family and the stress generated by the pandemic. With the results obtained, each element and category that the population considers a consequence of COVID-19 that affects the normal development of life has been identified.
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36
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do Carmo Filho A, van Duinkerken E, Tolentino JC, Schmidt SL. Attention profile of physically recovered COVID-19 inpatients on the day of discharge. J Psychiatr Res 2022; 150:189-196. [PMID: 35395609 PMCID: PMC8970603 DOI: 10.1016/j.jpsychires.2022.03.047] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 02/24/2022] [Accepted: 03/29/2022] [Indexed: 12/16/2022]
Abstract
Few studies have reported specific attention deficits in post-COVID-19 patients. Attention consists of different subdomains. Disruptions to specific attention subdomains might impair a wide range of everyday tasks, including road safety. As there are millions of COVID-19 patients with different socio-economic backgrounds, screening of attentional performance less dependent on education is needed. Here, we verified if physically recovered COVID-19 inpatients showed specific attention decrements at discharge. The Continuous Visual Attention Test (CVAT) is a Go/No-go task which is independent of participants' schooling. It detects visuomotor reaction time (RT = intrinsic alertness), variability of reaction time (VRT = sustained attention), omission (focused-attention), and commission errors (response-inhibition). Thirty physically functional COVID-19 inpatients at discharge and 30 non-infected controls underwent the CVAT. A MANCOVA was performed to examine differences between controls and patients, followed by post-hoc ANCOVAs. Then, we identified the percentile score for each patient within the distribution of the CVAT performance of 211 subjects mentally capable of driving (reference group). COVID-19 patients at discharge showed greater RT and VRT, and more omission errors than controls. Twenty-two patients (73%) had performance below the 5th percentile of the reference group in one or more subdomains. As slow visuomotor RT, deficits in focusing and difficulties in keeping visual attention are associated with traffic accidents, we concluded that most COVID-19 patients at discharge had deficits that may increase the risk of road injuries. As these deficits will probably affect other daily activities, a routine assessment with the CVAT could provide useful information on whom to send to post-COVID centers.
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Affiliation(s)
- Aureo do Carmo Filho
- Post-Graduate Program in Neurology, PPGNEURO, Federal University of the State of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Eelco van Duinkerken
- Post-Graduate Program in Neurology, PPGNEURO, Federal University of the State of Rio de Janeiro, Rio de Janeiro, RJ, Brazil,Department of Medical Psychology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands,Amsterdam Diabetes Center/Department of Internal Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands
| | - Julio Cesar Tolentino
- Post-Graduate Program in Neurology, PPGNEURO, Federal University of the State of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Sergio Luis Schmidt
- Post-Graduate Program in Neurology, PPGNEURO, Federal University of the State of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
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García-Grimshaw M, Sankowski R, Valdés-Ferrer SI. Neurocognitive and psychiatric post-coronavirus disease 2019 conditions: pathogenic insights of brain dysfunction following severe acute respiratory syndrome coronavirus 2 infection. Curr Opin Neurol 2022; 35:375-383. [PMID: 35283463 DOI: 10.1097/wco.0000000000001046] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE OF REVIEW Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent of coronavirus disease 2019 (COVID-19), can trigger a myriad of neuropsychiatric manifestations. As a 2-year-old disease (at the writing of this manuscript), its long-term cognitive and neuropsychiatric implications, known as post-COVID-19 conditions, are incompletely recognized and mechanistically obscure. RECENT FINDINGS Fatigue, anxiety, depression, posttraumatic stress disorder, and cognitive dysfunction are reported more frequently in COVID-19 survivors than in matching, non-COVID-19 population. Risk factors are unclear, including comorbidities, age at COVID-19 onset, or disease severity; women, however, have been reported to be at increased risk than men. Although the frequency of these symptoms decreases over time, at least one in five will have persistent cognitive and neuropsychiatric manifestations one year after recovering from COVID-19. SUMMARY Neurocognitive and psychiatric post-COVID-19 long-term conditions are frequent and complex multifactorial sequelae. Several acute and chronic factors such as hypoxemia, cerebral thrombotic and inflammatory endothelial damage, and disruption of the blood-brain barrier (leading to parenchymal translocation of pro-inflammatory molecules, cytokines, and cytotoxic T lymphocytes) are involved, leading to microglial activation and astrogliosis. As an evolving topic, evidence derived from prospective studies will expand our understanding of post-COVID-19 these long-term outcomes.
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Affiliation(s)
- Miguel García-Grimshaw
- Department of Neurology and Psychiatry, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubirán, Mexico City, Mexico
| | - Roman Sankowski
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sergio Iván Valdés-Ferrer
- Department of Neurology and Psychiatry, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubirán, Mexico City, Mexico
- Department of Infectious Diseases, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
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Ippolito D, Vernuccio F, Maino C, Cannella R, Giandola T, Ragusi M, Bigiogera V, Capodaglio C, Sironi S. Multiorgan Involvement in SARS-CoV-2 Infection: The Role of the Radiologist from Head to Toe. Diagnostics (Basel) 2022; 12:1188. [PMID: 35626344 PMCID: PMC9140872 DOI: 10.3390/diagnostics12051188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/29/2022] [Accepted: 05/05/2022] [Indexed: 01/08/2023] Open
Abstract
Radiology plays a crucial role for the diagnosis and management of COVID-19 patients during the different stages of the disease, allowing for early detection of manifestations and complications of COVID-19 in the different organs. Lungs are the most common organs involved by SARS-CoV-2 and chest computed tomography (CT) represents a reliable imaging-based tool in acute, subacute, and chronic settings for diagnosis, prognosis, and management of lung disease and the evaluation of acute and chronic complications. Cardiac involvement can be evaluated by using cardiac computed tomography angiography (CCTA), considered as the best choice to solve the differential diagnosis between the most common cardiac conditions: acute coronary syndrome, myocarditis, and cardiac dysrhythmia. By using compressive ultrasound it's possible to study the peripheral arteries and veins and to exclude the deep vein thrombosis, directly linked to the onset of pulmonary embolism. Moreover, CT and especially MRI can help to evaluate the gastrointestinal involvement and assess hepatic function, pancreas involvement, and exclude causes of lymphocytopenia, thrombocytopenia, and leukopenia, typical of COVID-19 patients. Finally, radiology plays a crucial role in the early identification of renal damage in COVID-19 patients, by using both CT and US. This narrative review aims to provide a comprehensive radiological analysis of commonly involved organs in patients with COVID-19 disease.
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Affiliation(s)
- Davide Ippolito
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
| | - Federica Vernuccio
- Department of Radiology, University Hospital of Padova, Via Nicolò Giustiniani, 2, 35128 Padova, PD, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Via del Vespro, 129, 90127 Palermo, PA, Italy;
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Via del Vespro, 129, 90127 Palermo, PA, Italy
| | - Teresa Giandola
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
| | - Maria Ragusi
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
| | - Vittorio Bigiogera
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
| | - Carlo Capodaglio
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy
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Sáez-Landete I, Gómez-Domínguez A, Estrella-León B, Díaz-Cid A, Fedirchyk O, Escribano-Muñoz M, Pedrera-Mazarro A, Martín-Palomeque G, Garcia-Ribas G, Rodríguez-Jorge F, Santos-Pérez G, Lourido-García D, Regidor-BaillyBailliere I. Retrospective Analysis of EEG in Patients With COVID-19: EEG Recording in Acute and Follow-up Phases. Clin EEG Neurosci 2022; 53:215-228. [PMID: 34319186 PMCID: PMC8958306 DOI: 10.1177/15500594211035923] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Background. Interest in electroencephalographic (EEG) coronavirus disease 2019 (COVID-19) findings has been growing, especially in the search for a specific-features EEG of encephalopathy. Methods. We made a retrospective analysis of 29 EEGs recorded in 15 patients with COVID-19 and neurological symptoms. We classified the EEGs as "Acute EEG" and "follow-up EEG." We did a statistical analysis between voltage and respiratory status of the patient, stay or not in the intensive care unit (ICU), days of stay in the ICU, sedative drugs, pharmacological treatment, type of symptoms predominating, and outcome. Results. We found EEG abnormalities in all patients studied. We observed the amplitude of background <20 µV at 93% of "acute EEG," versus only 21.4% of "follow-up EEG." The average voltage went from 12.33 ± 5.09 µV in the acute EEGs to 32.8 ± 20.13 µV in the follow-up EEGs. A total of 60% of acute EEGs showed an intermittent focal rhythmic. We have not found a statistically significant association between voltage of acute EEG and nonneurological clinical status (including respiratory) that may interfere with the EEG findings. Conclusions. Nonspecific diffuse slowing EEG pattern in COVID-19 is the most common finding reported, but we found in addition to that, as a distinctive finding, low voltage EEG, that could explain the low prevalence of epileptic activity published in these patients. A metabolic/hypoxic mechanism seems unlikely on the basis of our EEG findings. This pattern in other etiologies is reminiscent of severe encephalopathy states associated with poor prognosis. However, an unreactive low voltage pattern in COVID-19 patients is not necessarily related to poor prognosis.
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Affiliation(s)
- Isabel Sáez-Landete
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Adriana Gómez-Domínguez
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Beatriz Estrella-León
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Alba Díaz-Cid
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Olga Fedirchyk
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Marta Escribano-Muñoz
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Antonio Pedrera-Mazarro
- 16507Department of Clinical Neurophysiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | | | | | - Gloria Santos-Pérez
- 16507Departament of Anesthesiology. Hospital Universitario Ramón y Cajal, Madrid
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Systemic Emergencies in COVID-19 Patient: A Pictorial Review. Tomography 2022; 8:1041-1051. [PMID: 35448718 PMCID: PMC9031887 DOI: 10.3390/tomography8020084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/21/2022] [Accepted: 03/30/2022] [Indexed: 11/25/2022] Open
Abstract
Since the first report of the outbreak in Wuhan, China in December 2019, as of 1 September 2021, the World Health Organization has confirmed more than 239 million cases of the novel coronavirus (SARS-CoV-2) infectious disease named coronavirus disease 2019 (COVID-19), with more than 4.5 million deaths. Although SARS-CoV-2 mainly involves the respiratory tract, it is considered to be a systemic disease. Imaging plays a pivotal role in the diagnosis of all manifestations of COVID-19 disease, as well as its related complications. The figure of the radiologist is fundamental in the management and treatment of the patient. The authors try to provide a systematic approach based on an imaging review of major multi-organ manifestations of this infection.
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41
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Rastogi A, Bhaskar SMM. Incidence of white matter lesions in hospitalized COVID-19 patients: A meta-analysis. Microcirculation 2022; 29:e12749. [PMID: 35124866 PMCID: PMC9115142 DOI: 10.1111/micc.12749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 01/24/2022] [Accepted: 02/02/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Novel coronavirus disease 2019 (COVID-19) has been found to be associated with encephalopathy and brain imaging abnormalities. The identification of incident white matter lesions, known to be associated with cerebral microcirculatory failure and cerebrovascular disease, in COVID-19 patients is of clinical and scientific interest. We performed a meta-analysis to investigate the incidence of white matter lesions (WMLs) in hospitalized COVID-19 patients. METHODS PubMed, EMBASE, and the Cochrane Library were searched for studies on brain imaging abnormalities in hospitalized COVID-19 patients. The terms used included "white matter lesions," "white matter hyperintensity," "COVID-19," "coronavirus," and "SARS-CoV-2." A random-effects meta-analysis was conducted to obtain a pooled estimate of WML prevalence in hospitalized COVID-19 patients. RESULTS A total of 4 eligible studies involving 362 patients (144 with WMLs and 218 without) were included in the meta-analysis. We found the pooled estimate of WML prevalence to be 20% (ES 0.20; 95% CI 0.00-0.54; p = .03). CONCLUSIONS The estimated pooled prevalence rate of WMLs was approximately 20% in hospitalized COVID-19 patients, albeit lower than the crude prevalence rate (39.8%).
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Affiliation(s)
- Aarushi Rastogi
- Global Health Neurology and Translational Neuroscience LaboratorySydneyNSWAustralia
- Neurovascular Imaging LaboratoryClinical Sciences StreamIngham Institute for Applied Medical ResearchSydneyNSWAustralia
- University of New South Wales (UNSW)South Western Sydney Clinical SchoolLiverpoolNSWAustralia
| | - Sonu Menachem Maimonides Bhaskar
- Global Health Neurology and Translational Neuroscience LaboratorySydneyNSWAustralia
- Neurovascular Imaging LaboratoryClinical Sciences StreamIngham Institute for Applied Medical ResearchSydneyNSWAustralia
- NSW Brain Clot BankNSW Health PathologySydneyNSWAustralia
- Department of Neurology and NeurophysiologyComprehensive Stroke CenterLiverpool Hospital and South‐Western Sydney Local Health DistrictSydneyNSWAustralia
- Stroke and Neurology Research GroupIngham Institute for Applied Medical ResearchSydneyNSWAustralia
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Abstract
The worldwide pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected an estimated 200 million people with over 4 million deaths. Although COVID-19, the disease caused by the SARS-CoV-2 virus, is primarily a respiratory disease, an increasing number of neurologic symptoms have been reported. Some of these symptoms, such as loss of smell or taste, are mild and non-life threatening, while others, such as stroke or seizure, are more critical. Many of these symptoms remain long after the acute illness has passed, a phenomenon known as "long COVID" or postacute sequelae of SARS-CoV-2 infection (PASC). Neurological symptoms can be difficult to study due to the complexity of the central and peripheral nervous system. These neurologic symptoms can be difficult to identify and quantitate. This narrative review will describe approaches for assessing neurologic manifestations of COVID-19, with examples of the data they provide, as well as some directions for future research to aid in understanding the pathophysiology of COVID-19-related neurological implications.
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Key Words
- ace2, angiotensin converting enzyme 2
- ards, acute respiratory distress syndrome
- cfs, cerebral spinal fluid
- cns, central nervous system
- gbs, guillain-barre syndrome
- gfap, glial fibrillary acidic protein
- nfl, neurofilament light chain
- me/cfs, myalgic encephalomyelitis/chronic fatigue syndrome
- pasc, postacute sequelae of covid-19
- pcr, polymerase chain reaction
- pns, peripheral nervous system
- sars-cov-2, severe acute respiratory syndrome coronavirus 2
- uch-l1, ubiquitin carboxyl-terminal esterase l1
- ykl-40, chitinase 3-like 1.
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Maccio U, Zinkernagel AS, Schuepbach R, Probst-Mueller E, Frontzek K, Brugger SD, Hofmaenner DA, Moch H, Varga Z. Long-Term Persisting SARS-CoV-2 RNA and Pathological Findings: Lessons Learnt From a Series of 35 COVID-19 Autopsies. Front Med (Lausanne) 2022; 9:778489. [PMID: 35223894 PMCID: PMC8865372 DOI: 10.3389/fmed.2022.778489] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 01/04/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Long-term sequelae of coronavirus disease 2019 (COVID-19), including the interaction between persisting viral-RNA and specific tissue involvement, pose a challenging issue. In this study, we addressed the chronological correlation (after first clinical diagnosis and postmortem) between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA and organ involvement. METHODS The presence of postmortem SARS-CoV-2 RNA from 35 complete COVID-19 autopsies was correlated with the time interval between the first diagnosis of COVID-19 and death and with its relationship to morphologic findings. RESULTS Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA can be evident up to 40 days after the first diagnosis and can persist to 94 hours after death. Postmortem SARS-CoV-2 RNA was mostly positive in lungs (70%) and trachea (69%), but all investigated organs were positive with variable frequency. Late-stage tissue damage was evident up to 65 days after initial diagnosis in several organs. Positivity for SARS-CoV-2 RNA in pulmonary swabs correlated with diffuse alveolar damage (p = 0.0009). No correlation between positive swabs and other morphologic findings was present. Cerebral (p = 0.0003) and systemic hemorrhages (p = 0.009), cardiac thrombi (p = 0.04), and ischemic events (p = 0.03) were more frequent in the first wave, whereas bacterial pneumonia (p = 0.03) was more prevalent in the second wave. No differences in biometric data, clinical comorbidities, and other autopsy findings were found. CONCLUSIONS Our data provide evidence not only of long-term postmortem persisting SARS-CoV-2 RNA but also of tissue damage several weeks after the first diagnosis of SARS-CoV-2 infection. Additional conditions, such as concomitant bacterial pulmonary superinfection, lung aspergillosis, thromboembolic phenomena, and hemorrhages can further worsen tissue damage.
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Affiliation(s)
- Umberto Maccio
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, University of Zurich, Zurich, Switzerland
| | - Annelies S Zinkernagel
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital of Zürich, University of Zurich, Zurich, Switzerland
| | - Reto Schuepbach
- Institute of Intensive Care, University Hospital Zurich, University Hospital of Zürich, Zurich, Switzerland
| | | | - Karl Frontzek
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Silvio D Brugger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital of Zürich, University of Zurich, Zurich, Switzerland
| | - Daniel Andrea Hofmaenner
- Institute of Intensive Care, University Hospital Zurich, University Hospital of Zürich, Zurich, Switzerland
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, University of Zurich, Zurich, Switzerland
| | - Zsuzsanna Varga
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, University of Zurich, Zurich, Switzerland
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44
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Huang JA, Chen WH, Liao NC, Wu CL, Fu YC, Chen PL. Acute delirium as an initial manifestation of COVID-19 patients with acute ischemic stroke: Report on two cases. J Formos Med Assoc 2022; 121:1605-1609. [PMID: 35221145 PMCID: PMC8841143 DOI: 10.1016/j.jfma.2022.01.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/12/2021] [Accepted: 01/23/2022] [Indexed: 11/04/2022] Open
Abstract
Psychiatric and neurological complications of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are common. Psychiatric symptoms are so common that they are easily misinterpreted as an affective disorder induced by SARSCoV-2 infection. However, psychiatric symptoms, such as acute delirium, though rarely seen, can be the initial manifestations of acute ischemic stroke (AIS). These psychiatric symptoms may confuse the diagnosis of acute stroke, which needs correct and timely management. We report two hospitalized cases with SARS-CoV-2 infection and elevated serum D-dimer levels having acute delirium as the initial manifestation of AIS. The diagnostic processes were challenging and time-consuming, so reperfusion therapy could not be given in the therapeutic time window. The diagnoses of AIS were finally made by brain magnetic resonance imaging which showed diffusion restriction at the right middle cerebral artery territory in both cases. Features of psychiatric complications and stroke in coronavirus disease 2019 (COVID-19) patients are reviewed. For the hospitalized COVID-19 patients with elevated levels of serum Ddimer and acute delirium, acute stroke with neuropsychiatric manifestations should beconsidered.
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Abstract
During evolution, the cerebral cortex advances by increasing in surface and the introduction of new cytoarchitectonic areas among which the prefrontal cortex (PFC) is considered to be the substrate of highest cognitive functions. Although neurons of the PFC are generated before birth, the differentiation of its neurons and development of synaptic connections in humans extend to the 3rd decade of life. During this period, synapses as well as neurotransmitter systems including their receptors and transporters, are initially overproduced followed by selective elimination. Advanced methods applied to human and animal models, enable investigation of the cellular mechanisms and role of specific genes, non-coding regulatory elements and signaling molecules in control of prefrontal neuronal production and phenotypic fate, as well as neuronal migration to establish layering of the PFC. Likewise, various genetic approaches in combination with functional assays and immunohistochemical and imaging methods reveal roles of neurotransmitter systems during maturation of the PFC. Disruption, or even a slight slowing of the rate of neuronal production, migration and synaptogenesis by genetic or environmental factors, can induce gross as well as subtle changes that eventually can lead to cognitive impairment. An understanding of the development and evolution of the PFC provide insight into the pathogenesis and treatment of congenital neuropsychiatric diseases as well as idiopathic developmental disorders that cause intellectual disabilities.
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Affiliation(s)
- Sharon M Kolk
- Department of Molecular Neurobiology, Donders Institute for Brain, Cognition and Behaviour and Faculty of Science, Radboud University, Nijmegen, The Netherlands.
| | - Pasko Rakic
- Department of Neuroscience and Kavli Institute for Neuroscience, Yale University, New Haven, Connecticut, USA.
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46
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Abumalloh RA, Nilashi M, Yousoof Ismail M, Alhargan A, Alghamdi A, Alzahrani AO, Saraireh L, Osman R, Asadi S. Medical image processing and COVID-19: A literature review and bibliometric analysis. J Infect Public Health 2022; 15:75-93. [PMID: 34836799 PMCID: PMC8596659 DOI: 10.1016/j.jiph.2021.11.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 01/07/2023] Open
Abstract
COVID-19 crisis has placed medical systems over the world under unprecedented and growing pressure. Medical imaging processing can help in the diagnosis, treatment, and early detection of diseases. It has been considered as one of the modern technologies applied to fight against the COVID-19 crisis. Although several artificial intelligence, machine learning, and deep learning techniques have been deployed in medical image processing in the context of COVID-19 disease, there is a lack of research considering systematic literature review and categorization of published studies in this field. A systematic review locates, assesses, and interprets research outcomes to address a predetermined research goal to present evidence-based practical and theoretical insights. The main goal of this study is to present a literature review of the deployed methods of medical image processing in the context of the COVID-19 crisis. With this in mind, the studies available in reliable databases were retrieved, studied, evaluated, and synthesized. Based on the in-depth review of literature, this study structured a conceptual map that outlined three multi-layered folds: data gathering and description, main steps of image processing, and evaluation metrics. The main research themes were elaborated in each fold, allowing the authors to recommend upcoming research paths for scholars. The outcomes of this review highlighted that several methods have been adopted to classify the images related to the diagnosis and detection of COVID-19. The adopted methods have presented promising outcomes in terms of accuracy, cost, and detection speed.
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Affiliation(s)
- Rabab Ali Abumalloh
- Computer Department, Applied College, Imam Abdulrahman Bin Faisal University, P.O. Box. 1982, Dammam, Saudi Arabia
| | - Mehrbakhsh Nilashi
- Centre for Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800, USM Penang, Malaysia.
| | | | - Ashwaq Alhargan
- Computer Science Department, College of Computing and Informatics, Saudi Electronic University, Saudi Arabia
| | - Abdullah Alghamdi
- Information Systems Dept., College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia
| | - Ahmed Omar Alzahrani
- College of Computer Science and Engineering, University of Jeddah, 21959 Jeddah, Saudi Arabia
| | - Linah Saraireh
- Management Information System Department, College of Business, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, Saudi Arabia
| | - Reem Osman
- Computer Department, Applied College, Imam Abdulrahman Bin Faisal University, P.O. Box. 1982, Dammam, Saudi Arabia
| | - Shahla Asadi
- Centre of Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
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47
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Huang S, Zhou Z, Yang D, Zhao W, Zeng M, Xie X, Du Y, Jiang Y, Zhou X, Yang W, Guo H, Sun H, Liu P, Liu J, Luo H, Liu J. Persistent white matter changes in recovered COVID-19 patients at the 1-year follow-up. Brain 2021; 145:1830-1838. [PMID: 34918020 PMCID: PMC8754808 DOI: 10.1093/brain/awab435] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 10/13/2021] [Accepted: 10/27/2021] [Indexed: 11/12/2022] Open
Abstract
There is growing evidence that severe acute respiratory syndrome coronavirus 2 can affect the CNS. However, data on white matter and cognitive sequelae at the one-year follow-up are lacking. Therefore, we explored these characteristics in this study. We investigated 22 recovered coronavirus disease 2019 (COVID-19) patients and 21 matched healthy controls. Diffusion tensor imaging, diffusion kurtosis imaging and neurite orientation dispersion and density imaging were performed to identify white matter changes, and the subscales of the Wechsler Intelligence scale were used to assess cognitive function. Correlations between diffusion metrics, cognitive function, and other clinical characteristics were then examined. We also conducted subgroup analysis based on patient admission to the intensive care unit. The corona radiata, corpus callosum and superior longitudinal fasciculus had lower volume fraction of intracellular water in the recovered COVID-19 group than in the healthy control group. Patients who had been admitted to the intensive care unit had lower fractional anisotropy in the body of the corpus callosum than those who had not. Compared with the healthy controls, the recovered COVID-19 patients demonstrated no significant decline in cognitive function. White matter tended to present with fewer abnormalities for shorter hospital stays and longer follow-up times. Lower axonal density was detected in clinically recovered COVID-19 patients after one year. Patients who had been admitted to the intensive care unit had slightly more white matter abnormalities. No significant decline in cognitive function was found in recovered COVID-19 patients. The duration of hospital stay may be a predictor for white matter changes at the one-year follow-up.
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Affiliation(s)
- Sihong Huang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Zhiguo Zhou
- Department of Respiratory Medicine, The First Hospital of Changsha, Changsha, Hunan 410005, China
| | - Danhui Yang
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Wei Zhao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Mu Zeng
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xingzhi Xie
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yanyao Du
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yingjia Jiang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xianglin Zhou
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Wenhan Yang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Hu Guo
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Hui Sun
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Ping Liu
- Department of Respiratory Medicine, The First Hospital of Changsha, Changsha, Hunan 410005, China
| | - Jiyang Liu
- Department of Respiratory Medicine, The First Hospital of Changsha, Changsha, Hunan 410005, China
| | - Hong Luo
- Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.,Research Unit of Respiratory Disease, Central South University, Changsha, Hunan 410011, China.,Hunan Diagnosis and Treatment Center of Respiratory Disease, Changsha, Hunan 410011, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.,Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China.,Department of Radiology Quality Control Center, Hunan Province, Changsha, Hunan 410011, China
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Jin C, Luo X, Qian S, Zhang K, Gao Y, Zhou R, Cen P, Xu Z, Zhang H, Tian M. Positron emission tomography in the COVID-19 pandemic era. Eur J Nucl Med Mol Imaging 2021; 48:3903-3917. [PMID: 34013405 PMCID: PMC8134823 DOI: 10.1007/s00259-021-05347-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 03/29/2021] [Indexed: 12/24/2022]
Abstract
Coronavirus disease 2019 (COVID-19) has become a major public health problem worldwide since its outbreak in 2019. Currently, the spread of COVID-19 is far from over, and various complications have roused increasing awareness of the public, calling for novel techniques to aid at diagnosis and treatment. Based on the principle of molecular imaging, positron emission tomography (PET) is expected to offer pathophysiological alternations of COVID-19 in the molecular/cellular perspectives and facilitate the clinical management of patients. A number of PET-related cases and research have been reported on COVID-19 over the past one year. This article reviews the current studies of PET in the diagnosis and treatment of COVID-19, and discusses potential applications of PET in the development of management strategy for COVID-19 patients in the pandemic era.
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Affiliation(s)
- Chentao Jin
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Xiaoyun Luo
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Shufang Qian
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Kai Zhang
- Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo, Japan
| | - Yuanxue Gao
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Peili Cen
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Zhoujiao Xu
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Hong Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China.
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.
| | - Mei Tian
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Zhejiang, 310009, Hangzhou, China.
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
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Griffanti L, Raman B, Alfaro-Almagro F, Filippini N, Cassar MP, Sheerin F, Okell TW, Kennedy McConnell FA, Chappell MA, Wang C, Arthofer C, Lange FJ, Andersson J, Mackay CE, Tunnicliffe EM, Rowland M, Neubauer S, Miller KL, Jezzard P, Smith SM. Adapting the UK Biobank Brain Imaging Protocol and Analysis Pipeline for the C-MORE Multi-Organ Study of COVID-19 Survivors. Front Neurol 2021; 12:753284. [PMID: 34777224 PMCID: PMC8586081 DOI: 10.3389/fneur.2021.753284] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/06/2021] [Indexed: 01/08/2023] Open
Abstract
SARS-CoV-2 infection has been shown to damage multiple organs, including the brain. Multiorgan MRI can provide further insight on the repercussions of COVID-19 on organ health but requires a balance between richness and quality of data acquisition and total scan duration. We adapted the UK Biobank brain MRI protocol to produce high-quality images while being suitable as part of a post-COVID-19 multiorgan MRI exam. The analysis pipeline, also adapted from UK Biobank, includes new imaging-derived phenotypes (IDPs) designed to assess the possible effects of COVID-19. A first application of the protocol and pipeline was performed in 51 COVID-19 patients post-hospital discharge and 25 controls participating in the Oxford C-MORE study. The protocol acquires high resolution T1, T2-FLAIR, diffusion weighted images, susceptibility weighted images, and arterial spin labelling data in 17 min. The automated imaging pipeline derives 1,575 IDPs, assessing brain anatomy (including olfactory bulb volume and intensity) and tissue perfusion, hyperintensities, diffusivity, and susceptibility. In the C-MORE data, IDPs related to atrophy, small vessel disease and olfactory bulbs were consistent with clinical radiology reports. Our exploratory analysis tentatively revealed some group differences between recovered COVID-19 patients and controls, across severity groups, but not across anosmia groups. Follow-up imaging in the C-MORE study is currently ongoing, and this protocol is now being used in other large-scale studies. The protocol, pipeline code and data are openly available and will further contribute to the understanding of the medium to long-term effects of COVID-19.
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Affiliation(s)
- Ludovica Griffanti
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Biomedical Research Centre (BRC) National Institute for Health Research (NIHR), University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Fidel Alfaro-Almagro
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Nicola Filippini
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Camillo Hospital, Venice, Italy
| | - Mark Philip Cassar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Biomedical Research Centre (BRC) National Institute for Health Research (NIHR), University of Oxford, Oxford, United Kingdom
| | - Fintan Sheerin
- Department of Radiology, Oxford University Hospitals National Health Service (NHS) Foundation Trust, Oxford, United Kingdom
| | - Thomas W. Okell
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Flora A. Kennedy McConnell
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom
- Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom
| | - Michael A. Chappell
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom
- Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom
| | - Chaoyue Wang
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Christoph Arthofer
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Frederik J. Lange
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Jesper Andersson
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Clare E. Mackay
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Elizabeth M. Tunnicliffe
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Biomedical Research Centre (BRC) National Institute for Health Research (NIHR), University of Oxford, Oxford, United Kingdom
| | - Matthew Rowland
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Biomedical Research Centre (BRC) National Institute for Health Research (NIHR), University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Karla L. Miller
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Peter Jezzard
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
| | - Stephen M. Smith
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, United Kingdom
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Gross A, Albrecht T. One year of COVID-19 pandemic: what we Radiologists have learned about imaging. ROFO-FORTSCHR RONTG 2021; 194:141-151. [PMID: 34649291 DOI: 10.1055/a-1522-3155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Since its outbreak in December 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has infected more than 151 million people worldwide. More than 3.1 million have died from Coronavirus Disease 2019 (COVID-19), the illness caused by SARS-CoV-2. The virus affects mainly the upper respiratory tract and the lungs causing pneumonias of varying severity. Moreover, via direct and indirect pathogenetic mechanisms, SARS-CoV-2 may lead to a variety of extrapulmonary as well as vascular manifestations. METHODS Based on a systematic literature search via PubMed, original research articles, meta-analyses, reviews, and case reports representing the current scientific knowledge regarding diagnostic imaging of COVID-19 were selected. Focusing on the imaging appearance of pulmonary and extrapulmonary manifestations as well as indications for imaging, these data were summarized in the present review article and correlated with basic pathophysiologic mechanisms. RESULTS AND CONCLUSION Typical signs of COVID-19 pneumonia are multifocal, mostly bilateral, rounded, polycyclic or geographic ground-glass opacities and/or consolidations with mainly peripheral distribution. In severe cases, peribronchovascular lung zones are affected as well. Other typical signs are the "crazy paving" pattern and the halo and reversed halo (the latter two being less common). Venous thromboembolism (and pulmonary embolism in particular) is the most frequent vascular complication of COVID-19. However, arterial thromboembolic events like ischemic strokes, myocardial infarctions, and systemic arterial emboli also occur at higher rates. The most frequent extrapulmonary organ manifestations of COVID-19 affect the central nervous system, the heart, the hepatobiliary system, and the gastrointestinal tract. Usually, they can be visualized in imaging studies as well. The most important imaging modality for COVID-19 is chest CT. Its main purpose is not to make the primary diagnosis, but to differentiate COVID-19 from other (pulmonary) pathologies, to estimate disease severity, and to detect concomitant diseases and complications. KEY POINTS · Typical signs of COVID-19 pneumonia are multifocal, mostly peripheral ground-glass opacities/consolidations.. · Imaging facilitates differential diagnosis, estimation of disease severity, and detection of complications.. · Venous thromboembolism (especially pulmonary embolism) is the predominant vascular complication of COVID-19.. · Arterial thromboembolism (e. g., ischemic strokes, myocardial infarctions) occurs more frequently as well.. · The most common extrapulmonary manifestations affect the brain, heart, hepatobiliary system, and gastrointestinal system.. CITATION FORMAT · Gross A, Albrecht T. One year of COVID-19 pandemic: what we Radiologists have learned about imaging. Fortschr Röntgenstr 2021; DOI: 10.1055/a-1522-3155.
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Affiliation(s)
- Alexander Gross
- Radiology and Interventional Therapy, Vivantes-Klinikum Neukölln, Berlin, Germany
| | - Thomas Albrecht
- Radiology and Interventional Therapy, Vivantes-Klinikum Neukölln, Berlin, Germany
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