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Law JJ, Orgul S, Tomlinson LA, Wladis EJ. The Neutrophil-Lymphocyte Ratio in Pediatric Preseptal and Orbital Infectious Cellulitis. Ophthalmic Plast Reconstr Surg 2025; 41:299-302. [PMID: 39652517 DOI: 10.1097/iop.0000000000002828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2025]
Abstract
PURPOSE The neutrophil-lymphocyte ratio (NLR) is an important biomarker in a variety of systemic conditions, though its role in orbital disease remains unclear. We sought to investigate the utility of the NLR in distinguishing orbital cellulitis (OC) from preseptal cellulitis (PC) in a pediatric population. METHODS The earliest available NLRs of immunocompetent pediatric patients who presented to the emergency department with OC and PC were calculated from a single institution's database. Demographic and interventional data related to each encounter were also gathered. NLRs were compared via the Mann-Whitney test between OC and PC cases. Among patients with OC, the relationship between presenting NLR and requirement for surgical intervention and between presenting NLR and subperiosteal abscess was similarly examined. All statistical analyses were performed in GraphPad Prism 9 (Insight Partners, New York, NY, U.S.A.). RESULTS Forty-three encounters of patients with OC and 23 encounters of patients with PC were identified. Median presenting NLR for the OC group was 4.18 (standard deviation: 5.44), whereas for the PC group, it was 1.96 (standard deviation: 2.38), representing a significant difference between the 2 groups ( p < 0.001). The 26 patients with OC who required surgical intervention had significantly greater presenting NLR (median NLR: 6.53, standard deviation: 6.29) as compared to the 17 patients with OC who were managed medically (median NLR: 3.09, standard deviation: 2.37, p = 0.003). There was no statistically significant difference between 34 patients with OC who had a subperiosteal abscess (median NLR: 4.40, standard deviation: 5.91) and the 9 patients with OC who did not (median NLR: 3.84, standard deviation: 2.37, p = 0.401). CONCLUSIONS An elevated NLR is a useful adjunct to the clinical examination in discerning OC from PC or in risk stratification for patients with OC who may need surgical treatment of their periocular infectious disease. In select cases, a reassuring NLR may allow the cost and radiation exposure associated with radiographic assessment to be avoided.
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Affiliation(s)
- James J Law
- Department of Ophthalmology, Lions Eye Institute
| | - Sarp Orgul
- Department of Ophthalmology, Lions Eye Institute
| | | | - Edward J Wladis
- Department of Ophthalmology, Lions Eye Institute
- Department of Otolaryngology, Albany Medical College, Albany, New York, U.S.A
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Chmielewski PP, Strzelec B, Mozdziak P, Kempisty B. Neutrophil-to-Lymphocyte Ratio as a Prognostic Biomarker for Long-Term Survival in Older Adults at a Mental Health Care Center: A Historical Cohort Analysis. J Clin Med 2025; 14:2509. [PMID: 40217958 PMCID: PMC11989978 DOI: 10.3390/jcm14072509] [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: 02/25/2025] [Revised: 03/24/2025] [Accepted: 04/03/2025] [Indexed: 04/14/2025] Open
Abstract
Background/Objectives: Identifying reliable biomarkers for healthy aging and longevity is a fundamental challenge in aging research and medical sciences. The neutrophil-to-lymphocyte ratio (NLR) is a readily measurable indicator of immune balance that reflects the interplay between innate immune activation and adaptive immune suppression. Methods: This study examined NLR values in 204 physically healthy residents (98 men and 106 women) stratified into four lifespan categories based on death certificates. Page's test and ordinal regression (Cumulative Link Model) were used to assess trends with longevity. Results: In men, a downward trend in NLR values was observed. In women, a significant age-related decline in NLR was identified, with longer-lived individuals showing notably lower NLR values compared to their shorter-lived counterparts. The findings suggest that lower NLR is associated with longer survival, particularly in older women, reflecting superior immune regulation and reduced systemic inflammation. Conversely, elevated NLR may indicate immune dysfunction and heightened inflammatory burden. Conclusions: The results of this study complement existing findings, reinforcing the critical importance of immune balance in supporting healthy aging and longevity. These findings also underscore the potential of NLR as a robust biomarker for evaluating immune function and anticipating resilience to age-related decline, offering a practical tool for assessing immune health in the aging population.
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Affiliation(s)
- Piotr Paweł Chmielewski
- Division of Anatomy, Department of Human Morphology and Embryology, Faculty of Medicine, Wroclaw Medical University, 6a Chalubinskiego Street, 50-368 Wroclaw, Poland;
| | - Bartłomiej Strzelec
- 2nd Department of General Surgery and Surgical Oncology, Medical University Hospital, 50-345 Wroclaw, Poland;
| | - Paul Mozdziak
- Prestige Department of Poultry Science, College of Agriculture and Life Sciences, North Carolina State University, Raleigh, NC 27695-7608, USA;
| | - Bartosz Kempisty
- Division of Anatomy, Department of Human Morphology and Embryology, Faculty of Medicine, Wroclaw Medical University, 6a Chalubinskiego Street, 50-368 Wroclaw, Poland;
- Prestige Department of Poultry Science, College of Agriculture and Life Sciences, North Carolina State University, Raleigh, NC 27695-7608, USA;
- Department of Veterinary Surgery, Institute of Veterinary Medicine, Nicolaus Copernicus University, 87-100 Toruń, Poland
- Center of Assisted Reproduction, Department of Obstetrics and Gynecology, University Hospital and Masaryk University, 625 00 Brno, Czech Republic
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Uzun N, Keskin A, Aci R, Bilgin M, Akgun S. Presepsin is a biomarker that can predict mortality in sepsis patients. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2025; 71:e20241262. [PMID: 40172393 PMCID: PMC11964312 DOI: 10.1590/1806-9282.20241262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Accepted: 10/28/2024] [Indexed: 04/04/2025]
Abstract
OBJECTIVE Predicting the prognosis of sepsis, a major health problem worldwide, is vital to guide the treatment process accordingly. The aim of this study was to evaluate the ability of presepsin levels to predict mortality in patients with sepsis. METHODS The study included 87 intensive care unit patients with sepsis, 30 of whom survived. Complete blood count, blood gas, C-reactive protein, procalcitonin, albumin, and presepsin levels were analyzed. Binary logistic regression and receiver operating characteristic analyses were performed for presepsin levels. RESULTS Presepsin levels were higher in non-survivors than in survivors. There was no significant difference in other laboratory parameters. The predictive value of presepsin level on mortality was found to be 78.20%. The cutoff value in the receiver operating characteristic curve graph for presepsin levels is 612.70 pg/mL. The positive predictive value of presepsin levels in terms of mortality is 0.5735, and the negative predictive value is 0.8512. The sensitivity of presepsin levels in terms of mortality is 73.70%, and the specificity is 73.30%. The area under the curve value in the receiver operating characteristic curve plot for mortality for presepsin levels is 0.819. CONCLUSION Presepsin levels may predict mortality in patients with sepsis. Presepsin levels above the cutoff value of 612.70 pg/mL may be considered a risk factor for mortality in patients with sepsis.
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Affiliation(s)
- Naim Uzun
- Agri Ibrahim Cecen University, Faculty of Pharmacy, Department of Clinical Pharmacy, Department of Pharmacy Vocational Sciences – Ağrı, Turkey
| | - Adem Keskin
- Aydin Adnan Menderes University, Institute of Health Sciences, Department of Medicine Biochemistry – Aydın, Turkey
- Aydin Adnan Menderes University, Aydin Vocational School of Health Services, Department of Health Services and Techniques – Aydın, Turkey
| | - Recai Aci
- Aydin Adnan Menderes University, Soke Vocational School of Health Services, Department of Operating Room Services – Aydın, Turkey
| | - Melek Bilgin
- Samsun Training and Research Hospital, Department of Medical Microbiology – Samsun, Turkey
| | - Sunay Akgun
- Samsun Training and Research Hospital, Department of Anesthesiology and Reanimation – Samsun, Turkey
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Okay B, Hatipoglu HU, Uze Okay Z, Kızılırmak C, Guler A, Sahin K, Akkoc G. The role of Copeptin in viral lower respiratory tract infections in child: A prospective case-control study. Diagn Microbiol Infect Dis 2025; 111:116641. [PMID: 39644542 DOI: 10.1016/j.diagmicrobio.2024.116641] [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: 09/06/2024] [Revised: 11/25/2024] [Accepted: 11/30/2024] [Indexed: 12/09/2024]
Abstract
BACKGROUND Lower respiratory tract infection (LRTI) is a leading cause of morbidity and mortality among children globally. Copeptin, released by the pituitary gland, serves as a biomarker for various conditions and, as a neuroendocrine stress hormone, is useful in acute conditions. This study aimed to determine the role of copeptin levels in LRTI in children and whether it can reliably predict pneumonia severity. MATERIALS AND METHODS This prospective case-control study was performed between April and October 2023. The study included four groups: (i) patients diagnosed with bronchiolitis (Group 1, n=25), (ii) patients diagnosed with mild to moderate pneumonia (Group 2, n=25), (iii) patients diagnosed with severe pneumonia (Group 3, n=25), and (iv) a control group (Group 4, n=26). RESULTS Copeptin values differed significantly between the groups (p<0.001 for all comparisons). Copeptin demonstrated a sensitivity of 87.4 % and specificity of 82.2 % for distinguishing between patients with bronchiolitis and pneumonia, using a cut-off value of >0.586 ng/ml. For the identification of patients with severe pneumonia versus those with mild to moderate pneumonia, copeptin exhibited a sensitivity of 97.9 % and specificity of 94.7 % with a cut-off value of >1.215 ng/ml. The copeptin level exhibited a positive correlation with fibrinogen and FAR levels while demonstrating a negative correlation with albumin levels (r=0.354, ⁎⁎P=0.002; r=0.408, ⁎⁎⁎P<0.001; and r=-0.334, ⁎⁎P=0.003, respectively). CONCLUSIONS Copeptin demonstrates potential as a predictor of disease severity in children with pneumonia. It can also serve as a valuable tool to guide physicians in differentiating between bronchiolitis and pneumonia, as well as in diagnosing severe pneumonia.
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Affiliation(s)
- Berker Okay
- Istanbul Medipol University, Department of Pediatrics, Bahçelievler, Istanbul, Turkiye.
| | - Halil Ugur Hatipoglu
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Zeynep Uze Okay
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Cevher Kızılırmak
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Ahsen Guler
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Kâmil Sahin
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Gulsen Akkoc
- Marmara University, Pendik Training and Research Hospital, Department of Pediatric Infectious Diseases, Pendik, Istanbul, Turkey
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Nashwan AJ, Othman MI, Ananthegowda DC, Singh K, Ibraheem A, Janardhanan JP, Alikutty JP, Othman MA, Hamad AI, Khatib MY, Abujaber AA. Neutrophil-to-Lymphocyte Ratio Predicts Dialysis Timing & Prognosis in Critically Ill Patients. Health Sci Rep 2025; 8:e70313. [PMID: 39906242 PMCID: PMC11790591 DOI: 10.1002/hsr2.70313] [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: 06/22/2024] [Revised: 12/05/2024] [Accepted: 12/11/2024] [Indexed: 02/06/2025] Open
Abstract
BACKGROUND AND AIMS The neutrophil-to-lymphocyte ratio (NLR) is a cost-effective indicator of inflammation, which may impact decisions regarding therapy for patients undergoing continuous renal replacement therapy (CRRT), even with ongoing clinical arguments. This study aimed to examine the correlation between NLR and the prognosis of critically ill patients undergoing CRRT, specifically about mortality and morbidity. Additionally, the study sought to assess NLR's potential as a prognostic indicator for CRRT initiation. METHODS Data were retrospectively analyzed from 175 critically ill patients who received CRRT. Clinical factors and biochemical markers were compared between survivors and non-survivors at admission, before CRRT, and at 24 and 72 h post-CRRT initiation. RESULTS Elevated NLR levels were significantly associated with increased in-hospital mortality. Neutrophil counts showed statistical significance across all measurement points, while NLR and lymphocyte counts were significant only on the third day of CRRT (p 0.001 and 0.011, respectively). Non-survivors had higher NLR values than survivors and experienced shorter hospital stays (median 22 vs. 44 days for survivors, p < 0.001). Patients with higher baseline NLR values also had more complications. CONCLUSIONS The NLR shows potential as a prognostic predictor for mortality in CRRT patients. Its integration into clinical practice could enhance patient care and treatment timing, and further studies should validate its clinical utility.
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Affiliation(s)
| | | | | | - Kalpana Singh
- Nursing DepartmentHamad Medical CorporationDohaQatar
| | - Anas Ibraheem
- Hematology DepartmentAl Karama Teaching HospitalBaghdadIraq
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B H, D K M, T M R, W B, R W, V V, J D, J RM, F J D, P G, A H H. Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review. Artif Intell Med 2025; 160:103008. [PMID: 39705768 DOI: 10.1016/j.artmed.2024.103008] [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: 05/07/2024] [Revised: 10/16/2024] [Accepted: 10/23/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Blood-related infections are a significant concern in healthcare. They can lead to serious medical complications and even death if not promptly diagnosed and treated. Throughout time, medical research has sought to identify clinical factors and strategies to improve the management of these conditions. The increasing adoption of electronic health records has led to a wealth of electronically available medical information and predictive models have emerged as invaluable tools. This manuscript offers a detailed survey of machine-learning techniques used for the diagnosis and prognosis of bacteraemia, bloodstream infections, and sepsis shedding light on their efficacy, potential limitations, and the intricacies of their integration into clinical practice. METHODS This study presents a comprehensive analysis derived from a thorough search across prominent databases, namely EMBASE, Google Scholar, PubMed, Scopus, and Web of Science, spanning from their inception dates to October 25, 2023. Eligibility assessment was conducted independently by investigators, with inclusion criteria encompassing peer-reviewed articles and pertinent non-peer-reviewed literature. Clinical and technical data were meticulously extracted and integrated into a registry, facilitating a holistic examination of the subject matter. To maintain currency and comprehensiveness, readers are encouraged to contribute manuscript suggestions and/or reports for integration into this living registry. RESULTS While machine learning (ML) models exhibit promise in advanced disease stages such as sepsis, early stages remain underexplored due to data limitations. Biochemical markers emerge as pivotal predictors during early stages such as bacteraemia, or bloodstream infections, while vital signs assume significance in sepsis prognosis. Integrating temporal trend information into conventional machine learning models appears to enhance performance. Unfortunately, sequential deep learning models face challenges, showing minimal performance improvements and significant drops in external datasets, potentially due to learning missing patterns within the scarce data available rather than understanding disease dynamics. Real-life implementation receives limited attention, as meeting design requirements proves challenging within existing healthcare infrastructure. The data collected in an event-based fashion during clinical practice is insufficient to fully harness the potential of these data-hungry models. Despite limitations, opportunities abound in leveraging flexible models and exploiting real-time non-invasive data collection technologies such as wearable devices or microneedles. Addressing research gaps in early disease stages, harnessing patient history data often underused, and embracing continual diagnostics beyond treatment initiation are crucial for improving healthcare decision-making support and adoption across the entire management pathway. CONCLUSIONS This comprehensive survey illuminates the landscape of ML applications in blood-related infection management, offering insights for future research and clinical practice. Implementing clinical ML-based clinical decision support systems requires balancing research with practical considerations. Current methodologies often lead to complex models lacking transparency and practical validation. Integration into healthcare systems faces regulatory, privacy, and trust challenges. Clear presentations and adherence to standards are essential to boost confidence in machine learning models for real-world healthcare applications.
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Affiliation(s)
- Hernandez B
- Centre for Antimicrobial Optimisation, Imperial College London, London, W12 0NN, UK.
| | - Ming D K
- Centre for Antimicrobial Optimisation, Imperial College London, London, W12 0NN, UK
| | - Rawson T M
- NIHR HPRU in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, W12 0NN, UK
| | - Bolton W
- Centre for Antimicrobial Optimisation, Imperial College London, London, W12 0NN, UK; NIHR HPRU in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, W12 0NN, UK; AI4Health Centre for Doctoral Training, Imperial College London, London, UK
| | - Wilson R
- NIHR HPRU in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, W12 0NN, UK; Department of Global Health and Infectious Diseases, University of Liverpool, Liverpool, UK
| | - Vasikasin V
- Centre for Antimicrobial Optimisation, Imperial College London, London, W12 0NN, UK; NIHR HPRU in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, W12 0NN, UK
| | - Daniels J
- Centre for Bio-Inspired Technology, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
| | - Rodriguez-Manzano J
- Centre for Antimicrobial Optimisation, Imperial College London, London, W12 0NN, UK; NIHR HPRU in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, W12 0NN, UK
| | - Davies F J
- Imperial College Healthcare NHS Trust, Praed Street, London, W2 1NY, UK
| | - Georgiou P
- Centre for Bio-Inspired Technology, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
| | - Holmes A H
- Centre for Antimicrobial Optimisation, Imperial College London, London, W12 0NN, UK; NIHR HPRU in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, W12 0NN, UK; Department of Global Health and Infectious Diseases, University of Liverpool, Liverpool, UK
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Sullivan E, Schulte R, Speaker SL, Sabharwal P, Wang M, Rothberg MB. Relationship Between White Blood Cell Count and Bacteremia Using Interval Likelihood Ratios in Hospitalized Patients. J Gen Intern Med 2025; 40:532-537. [PMID: 39436481 PMCID: PMC11861455 DOI: 10.1007/s11606-024-09119-5] [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: 03/14/2024] [Accepted: 09/30/2024] [Indexed: 10/23/2024]
Abstract
BACKGROUND Patients with bacteremia often have elevated white blood cell (WBC) and neutrophil counts, yet these alone are poor predictors of bacteremia. Data on the continuous relationship between WBC response and bacteremia are lacking. OBJECTIVE This study aims to characterize the relationship of WBC count, neutrophil percentage, and absolute neutrophil count (ANC) to bacteremia using interval likelihood ratios (ILRs) derived from a large sample of hospitalized patients. DESIGN Retrospective cohort study in a large healthcare system from 2017 to 2018. PATIENTS This study included non-surgical inpatients who had at least one complete blood count (CBC) with differential up to 24 hours after admission and a blood culture. Patients with immunosuppression and malignancy or who received antibiotics before negative blood cultures were excluded. MAIN MEASURES Predictors were WBC count, ANC, and neutrophil percentage. The outcome was bacteremia. We compared test discrimination using the area under the receiver operating characteristics curve (AUROC). We calculated ILRs for bacteremia across test value intervals. As a practical example, we assumed a 5% pre-test probability of bacteremia and calculated the post-test probability for each interval. We compared this approach to a threshold approach using a threshold of 70% neutrophils. RESULTS Of 25,776 patients with a CBC with differential and blood culture, 1160 had bacteremia. AUROC was highest for neutrophil percentage (0.74), followed by ANC (0.63) and WBC count (0.58). Probability of bacteremia increased exponentially from neutrophil percentage 80 to 100%. Odds of bacteremia varied 35-fold based on neutrophil percentage. A threshold approach with a cut-off of 70% significantly underestimated bacteremia risk at higher levels. CONCLUSIONS ILRs offered a more discriminating approach to estimating the probability of bacteremia than a single threshold. Physicians assessing risk of bacteremia should pay attention to the magnitude of abnormality because very high and very low values have much stronger predictive power than dichotomized results.
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Affiliation(s)
- Erin Sullivan
- Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Rebecca Schulte
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Sidra L Speaker
- Department of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA
| | - Paul Sabharwal
- Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Ming Wang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Michael B Rothberg
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH, USA.
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Li H, Hong H, Zhang J. Development and approval of a Lasso score based on nutritional and inflammatory parameters to predict prognosis in patients with glioma. Front Oncol 2025; 15:1280395. [PMID: 39917168 PMCID: PMC11798970 DOI: 10.3389/fonc.2025.1280395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 01/03/2025] [Indexed: 02/09/2025] Open
Abstract
Objectives Preoperative peripheral hematological indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and prognostic nutritional index (PNI), exhibit promise as prognostic markers for glioma. This study evaluated the prognostic value of a combined scoring system incorporating NLR, PLR, MLR, and PNI, and developed a nomogram to predict glioma prognosis. Methods Data on preoperative NLR, PLR, MLR, and PNI were collected from 380 patients with pathologically diagnosed glioma (266 in the training cohort, 114 in the validation cohort). The Least Absolute Shrinkage and Selection Operator (Lasso) was employed to select relevant hematological indicators and generate a Lasso score. A nomogram was constructed utilizing Cox regression and Lasso variable selection. This nomogram incorporated the Lasso score, age, pathological type, chemotherapy status, and Ki67 expression to predict overall survival (OS). Model performance was evaluated utilizing Harrell's c-index, calibration curves, DCA, and clinical utility (stratification into low-risk and high-risk groups), and verified utilizing the independent validation cohort. Results A total of 380 glioma patients were enrolled and separated into training (n = 266) and validation (n = 114) cohorts. The two cohorts demonstrated no significant differences in baseline characteristics. NLR, PLR, MLR, and PNI from the training dataset were utilized for Lasso calculation. Multivariable analysis indicated that age, pathological grade, chemotherapy status, Ki-67 expression, and the Lasso score were independent predictors of OS and were then included in the nomogram. The nomogram model based on the training cohort had a C index of 0.742 (95% CI: 0.700-0.783) and AUC values of 0.802, 0.775, and 0.815 for ROC curves at 1, 3, and 5 years after surgery. The validation cohort derived a similar C-index of 0.734 (95% CI: 0.671-0.798) and AUC values of 0.785, 0.778, and 0.767 at 1, 3, and 5 years, respectively. The nomogram demonstrated good calibration in both cohorts, indicating strong agreement between predicted and observed outcomes. The threshold probabilities for DCA at 1-, 3-, and 5-years post-surgery in the training and validation cohorts were 0.08~k0.74, 0.25~0.80, and 0.08~0.89, and 0.13~0.60, 0.28~0.81, and 0.25~0.88, respectively. Conclusions A nomogram incorporating a Lasso score effectively predicted prognosis in glioma patients. However, its performance did not significantly exceed that of standard clinical nomograms.
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Affiliation(s)
- Huixian Li
- The Second Medical College, Binzhou Medical University, Binzhou, Shandong, China
| | - Hui Hong
- JGraduate School of Jinzhou Medical University, jinzhou, China
| | - Jinling Zhang
- Department of Oncology, Linyi People's Hospital, Linyi, China
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Bou Chebl R, Haidar S, Kattouf N, Assaf M, Alwan JS, Khamis MM, Abdeldaem K, Makki M, Tamim H, Abou Dagher G. Comparing the Prognostic Value of Lactate to the Neutrophil to Lymphocyte Ratio Among Sepsis Patients: A Prospective Cohort Study. Open Access Emerg Med 2025; 17:3-13. [PMID: 39867261 PMCID: PMC11759577 DOI: 10.2147/oaem.s486966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 12/14/2024] [Indexed: 01/28/2025] Open
Abstract
Background Lactate has long been recognized as a key prognostic biomarker in sepsis. Similarly, the prognostic role of the neutrophil-to-lymphocyte ratio (NLR) has been investigated in various conditions, including sepsis. Previous studies have explored the optimal NLR cutoff to differentiate sepsis survivors from nonsurvivors, predict bacteremia, diagnose sepsis, and assess mortality. This study compares the prognostic value of lactate and NLR in septic patients. Methods This prospective cohort study included 874 adult septic or septic shock patients presenting to a tertiary care center's Emergency Department between September 2018 and February 2021. The primary outcome was to compare the prognostic value of NLR and lactate regarding in-hospital mortality. Secondary outcomes compared their prognostic value in different septic subgroups. Results Stepwise logistic regression showed NLR was not associated with in-hospital mortality (OR=1.003, p=0.544), while lactate was significantly associated with in-hospital mortality (OR=1.188, p<0.0001). There was no significant difference in the AUCs of NLR and lactate (0.552 vs 0.591, p=0.22). Lactate outperformed NLR in patients with albumin <30, those <65 years old, and those with sepsis from a urinary tract infection. No significant differences were found in AUCs between lactate and NLR in patients with septic shock, Lactate<2, Lactate≥2, diabetes, malignancy, chronic kidney diseases, other sources of infection, albumin ≥30 and age ≥ 65. Conclusion In this study, lactate but not NLR was associated with in-hospital mortality. There was no significant difference in the AUCs between lactate and NLR among sepsis patients and among most of the subgroups. However, lactate outperformed NLR in the following subgroups: albumin<30 g/L, patients <65 years old and patients with sepsis due to a urinary tract infection. Our results advocate for the continued use of serum lactate rather than NLR, despite its limitations, as a predictor of mortality among septic patients and the different subgroups in this study.
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Affiliation(s)
- Ralphe Bou Chebl
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
| | - Saadeddine Haidar
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
| | - Nadim Kattouf
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
| | - Mohamad Assaf
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
| | - Joudie Sahar Alwan
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
| | | | - Karim Abdeldaem
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
| | - Maha Makki
- Department of Internal Medicine, American University of Beirut, Beirut, Lebanon
| | - Hani Tamim
- Department of Internal Medicine, American University of Beirut, Beirut, Lebanon
| | - Gilbert Abou Dagher
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
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Liu Y, Wu Y, Zhang T, Chen J, Hu W, Sun G, Zheng P. Machine learning algorithms for the early detection of bloodstream infection in children with osteoarticular infections. Front Pediatr 2024; 12:1398713. [PMID: 39722773 PMCID: PMC11668579 DOI: 10.3389/fped.2024.1398713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 11/25/2024] [Indexed: 12/28/2024] Open
Abstract
Background Bloodstream infection (BSI) poses a significant life-threatening risk in pediatric patients with osteoarticular infections. Timely identification of BSI is crucial for effective management and improved patient outcomes. This study aimed to develop a machine learning (ML) model for the early identification of BSI in children with osteoarticular infections. Materials and methods A retrospective analysis was conducted on pediatric patients diagnosed with osteoarticular infections admitted to three hospitals in China between January 2012 and January 2023. All patients underwent blood and puncture fluid bacterial cultures. Sixteen early available variables were selected, and eight different ML algorithms were applied to construct the model by training on these data. The accuracy and the area under the receiver operating characteristic (ROC) curve (AUC) were used to evaluate the performance of these models. The Shapley Additive Explanation (SHAP) values were utilized to explain the predictive value of each variable on the output of the model. Results The study comprised 181 patients in the BSI group and 420 in the non-BSI group. Random Forest exhibited the best performance, with an AUC of 0.947 ± 0.016. The model demonstrated an accuracy of 0.895 ± 0.023, a sensitivity of 0.847 ± 0.071, a specificity of 0.917 ± 0.007, a precision of 0.813 ± 0.023, and an F1 score of 0.828 ± 0.040. The four most significant variables in both the feature importance matrix plot of the Random Forest model and the SHAP summary plot were procalcitonin (PCT), neutrophil count (N), leukocyte count (WBC), and fever days. Conclusions The Random Forest model proved to be effective in early and timely identification of BSI in children with osteoarticular infections. Its application could aid in clinical decision-making and potentially mitigate the risk associated with delayed or inaccurate blood culture results.
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Affiliation(s)
- Yuwen Liu
- Department of Orthopaedic Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yuhan Wu
- State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
| | - Tao Zhang
- Department of Orthopaedic Surgery, Qinghai Province Women and Children’s Hospital, Xining, China
| | - Jie Chen
- Department of Orthopaedic Surgery, Wuxi Children’s Hospital, Wuxi, China
| | - Wei Hu
- State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
| | - Guixin Sun
- Department of Traumatic Surgery, Shanghai East Hospital, Nanjing Medical University, Nanjing, China
| | - Pengfei Zheng
- Department of Orthopaedic Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, China
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Koç RH, Abakay MA, Sayın İ. Determining the prognostic value of CRP and neutrophil lymphocyte ratio in patients hospitalized for deep neck infection. Braz J Otorhinolaryngol 2024; 90:101492. [PMID: 39205364 PMCID: PMC11399593 DOI: 10.1016/j.bjorl.2024.101492] [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: 03/26/2024] [Revised: 07/25/2024] [Accepted: 08/03/2024] [Indexed: 09/04/2024] Open
Abstract
OBJECTIVES This study aims to assess the impact of the Neutrophil/Lymphocyte Ratio (NLR) and C-Reactive Protein (CRP), both markers of systemic inflammation, on the duration of hospitalization for Deep Neck Infections (DNIs). METHODS The research encompassed patients of all age groups admitted between January 2016 and January 2021 due to DNIs. Patient data, including demographic details, etiology, comorbidities, radiological findings, treatment specifics, laboratory results (CRP values, leukocyte counts, neutrophil counts, lymphocyte counts, NLR), culture outcomes, length of stay, complications, mortalities were retrospectively evaluated. Patients were categorized into two groups based on their hospitalization duration: less than 7-days and 7-days or more. Univariate and multivariate analyses were conducted to examine the association between age, NLR, CRP, and hospital stay length. RESULTS The study encompassed 275 patients, with a mean age of 36 ± 20.2 years. The mean hospital stay was 9.6 ± 6.6 days. Tonsillopharyngeal infections were the most common etiology (34%). Notably, in both univariate and multivariate analyses, age, NLR, and CRP values demonstrated significant (p < 0.05) predictive influence on hospitalization duration. CONCLUSION Age emerges as a determinant that affects hospital stay duration in DNIs. Moreover, NLR is proven to be comparable to CRP in predicting hospitalization length for these patients. NLR's feasibility as a cost-effective predictive marker, being conveniently derived from routine complete blood count assessments, adds to its clinical significance. This study underscores the potential value of NLR and CRP in informing patient management and care strategies for DNIs.
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Affiliation(s)
- Recep Haydar Koç
- Sultangazi Haseki Training and Research Hospital, Department of Otorhinolaryngology and Head and Neck Surgery, Istanbul, Turkey.
| | - Mehmet Akif Abakay
- Bakırköy Dr. Sadi Konuk Training and Research Hospital, Department of Otorhinolaryngology and Head and Neck Surgery, Istanbul, Turkey
| | - İbrahim Sayın
- Bakırköy Dr. Sadi Konuk Training and Research Hospital, Department of Otorhinolaryngology and Head and Neck Surgery, Istanbul, Turkey
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Pivina L, Batenova G, Ygiyeva D, Orekhov A, Pivin M, Dyussupov A. Assessment of the Predictive Ability of the Neutrophil-to-Lymphocyte Ratio in Patients with In-Stent Restenosis after COVID-19. Diagnostics (Basel) 2024; 14:2262. [PMID: 39451585 PMCID: PMC11506230 DOI: 10.3390/diagnostics14202262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Revised: 10/05/2024] [Accepted: 10/09/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND The neutrophil-to-lymphocyte ratio (NLR) is an independent predictor of the severity of coronary heart disease and COVID-19. This study aims to assess the predictive ability of the NLR in patients with in-stent restenosis after COVID-19. MATERIALS AND METHODS a cross-sectional study included 931 patients who underwent repeated myocardial revascularization between May 2020 and May 2023. The 420 patients of the main group had in-stent restenosis, of which 162 patients had COVID-19 previously. The control group included 511 patients without stent restenosis (107 patients had COVID-19 previously). All reported events were verified by hospital electronic records from the Complex Medical Information System. RESULTS The mean values of the NLR were 2.51 and 2.68 in the study groups, respectively. A statistically significant positive relationship in both groups was found between the NLR and troponin, D-dimer, C-reactive protein, creatinine, ALT, and AST. A statistically significant positive relationship was found between NLR and myocardial infarction (MI) in patients of both groups (p = 0.004; p < 0.001, respectively) and a negative relationship with the ejection fraction (p = 0.001; p < 0.036, respectively). An evaluation of the predictive ability of the clinical and laboratory predictors of recurrent myocardial infarction shows a high degree of utility of this model. The area under the ROC curve for AUC for NLR was 0.664 with 95% CI from 0.627 to 0.700 (p < 0.001). CONCLUSIONS NLR is one of the significant factors for predicting the development of adverse outcomes in patients with revascularized myocardium after COVID-19.
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Affiliation(s)
- Lyudmila Pivina
- Department of Emergency Medicine, Semey Medical University, Semey 071400, Kazakhstan; (G.B.); (D.Y.); (M.P.)
| | - Gulnara Batenova
- Department of Emergency Medicine, Semey Medical University, Semey 071400, Kazakhstan; (G.B.); (D.Y.); (M.P.)
| | - Diana Ygiyeva
- Department of Emergency Medicine, Semey Medical University, Semey 071400, Kazakhstan; (G.B.); (D.Y.); (M.P.)
| | - Andrey Orekhov
- Department of Internal Medicine, Semey Medical University, Semey 071400, Kazakhstan;
| | - Maksim Pivin
- Department of Emergency Medicine, Semey Medical University, Semey 071400, Kazakhstan; (G.B.); (D.Y.); (M.P.)
| | - Altay Dyussupov
- Rector Office, Semey Medical University, Semey 071400, Kazakhstan;
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Kumar A, Aggarwal M, Mohapatra A, Ameta N. Association of Neutrophil-Lymphocyte Ratio and Red Blood Cell Distribution Width with Poor Outcome in Pediatric Cardiac Surgery - A Retrospective Observational Study. Ann Card Anaesth 2024; 27:213-219. [PMID: 38963355 PMCID: PMC11315254 DOI: 10.4103/aca.aca_9_24] [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: 01/08/2024] [Revised: 02/07/2024] [Accepted: 02/17/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Neutrophil-lymphocyte ratio (NLR) is a valuable indicator for evaluating inflammatory response and red blood cell distribution width (RBDW), a routinely available biomarker of likely erythropoietic dysfunction, which may be associated with adverse outcomes after cardiac surgery. This study aimed to investigate the association between these two readily available haematological parameters, with the poor outcomes in paediatric patients undergoing cardiac surgery. METHODS A comprehensive review of medical records for paediatric patients who underwent cardiac surgery at our tertiary care centre between April 2022 and June 2023 was carried out. RBDW and NLR values were collected from complete blood count reports obtained on admission to the ICU. Demographic data, surgical details, and postoperative complications were also recorded. A receiver operating characteristic (ROC) curve and multivariable logistic regression were applied to identify the prognosis performance of preoperative NLR and RBDW for poor outcomes. RESULTS The study included 219 patients meeting the inclusion criteria of which a total of 90 (41%) children experienced at least one of the poor outcomes. Preoperative NLR (AUC=0.88, 95%CI 0.36-0.70, cut off- 4.2) and RBDW (AUC=0.88, 95%CI 0.39-0.73, cut off- 18.5%) showed prognostic significance in the perioperative period. CONCLUSION This retrospective observational study highlights a significant association between elevated Red Blood Cell Distribution Width (RBDW) and Neutrophil Lymphocyte Ratio (NLR) values and poor outcomes in paediatric patients undergoing cardiac surgery. These readily available haematological parameters could serve as potential prognostic indicators for identifying patients at risk of poor outcomes.
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Affiliation(s)
- Alok Kumar
- Department of Anaesthesia and Critical Care, Armed Forces Medical College, Pune, Maharashtra, India
| | - Monika Aggarwal
- Department of Lab Sciences, Armed Forces Medical College, Pune, Maharashtra, India
| | - Akash Mohapatra
- Department of Anaesthesia and Critical Care, Armed Forces Medical College, Pune, Maharashtra, India
| | - Nihar Ameta
- Department of Anaesthesia and Critical Care, Armed Forces Medical College, Pune, Maharashtra, India
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Xu MS, Xu JL, Gao X, Mo SJ, Xing JY, Liu JH, Tian YZ, Fu XF. Clinical study of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in hypertriglyceridemia-induced acute pancreatitis and acute biliary pancreatitis with persistent organ failure. World J Gastrointest Surg 2024; 16:1647-1659. [PMID: 38983313 PMCID: PMC11230014 DOI: 10.4240/wjgs.v16.i6.1647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/10/2024] [Accepted: 05/14/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are novel inflammatory indicators that can be used to predict the severity and prognosis of various diseases. We categorize acute pancreatitis by etiology into acute biliary pancreatitis (ABP) and hypertriglyceridemia-induced acute pancreatitis (HTGP). AIM To investigate the clinical significance of NLR and PLR in assessing persistent organ failure (POF) in HTGP and ABP. METHODS A total of 1450 patients diagnosed with acute pancreatitis (AP) for the first time at Shanxi Bethune Hospital between January 2012 and January 2023 were enrolled. The patients were categorized into two groups according to the etiology of AP: ABP in 530 patients and HTGP in 241 patients. We collected and compared the clinical data of the patients, including NLR, PLR, and AP prognostic scoring systems, within 48 h of hospital admission. RESULTS The NLR (9.1 vs 6.9, P < 0.001) and PLR (203.1 vs 160.5, P < 0.001) were significantly higher in the ABP group than in the HTGP group. In the HTGP group, both NLR and PLR were significantly increased in patients with severe AP and those with a SOFA score ≥ 3. Likewise, in the ABP group, NLR and PLR were significantly elevated in patients with severe AP, modified computed tomography severity index score ≥ 4, Japanese Severity Score ≥ 3, and modified Marshall score ≥ 2. Moreover, NLR and PLR showed predictive value for the development of POF in both the ABP and HTGP groups. CONCLUSION NLR and PLR vary between ABP and HTGP, are strongly associated with AP prognostic scoring systems, and have predictive potential for the occurrence of POF in both ABP and HTGP.
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Affiliation(s)
- Mu-Sen Xu
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
| | - Jia-Le Xu
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
| | - Xin Gao
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan 030032, Shanxi Province, China
| | - Shao-Jian Mo
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
| | - Jia-Yu Xing
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
| | - Jia-Hang Liu
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
| | - Yan-Zhang Tian
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
| | - Xi-Feng Fu
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi Province, China
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Martinez JM, Espírito Santo A, Ramada D, Fontes F, Medeiros R. Diagnostic accuracy of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and neutrophil-lymphocyte-to-platelet ratio biomarkers in predicting bacteremia and sepsis in immunosuppressive patients with cancer: literature review. Porto Biomed J 2024; 9:254. [PMID: 38835655 PMCID: PMC11146520 DOI: 10.1097/j.pbj.0000000000000254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/23/2024] [Accepted: 05/05/2024] [Indexed: 06/06/2024] Open
Abstract
Background This literature review explores the role of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and neutrophil-lymphocyte-to-platelet ratio (NLPR) biomarkers, as potential indicators for predicting bacteremia and sepsis in patients with cancer. Objective Tracing the evolution of interest in this area since 2001, the aim of this review was to report a comprehensive overview of current knowledge and gaps, particularly in patients undergoing immunosuppression. Summary of Findings The literature research indicates the potential of NLR, PLR, and other biomarkers in diagnosing and predicting sepsis, with some studies emphasizing their value in mortality prediction. A specific focus on bacteremia shows the effectiveness of NLR and PLR as early indicators and prognostic tools, though mostly in noncancer patient populations. While NLR and PLR are promising in general cancer patient populations, the review addresses the challenges in applying these biomarkers to patients with neutropenic and lymphopenic cancer. The NLPR could be considered a significant biomarker for inflammation and mortality risk in various medical conditions, yet its diagnostic accuracy in patients with immunosuppressed cancer is not extensively validated. Conclusion This review offers a snapshot of the current research on biomarkers in patients with immunocompromised cancer in the sepsis and bacteremia area. More focused research on their application is necessary. This gap underscores an opportunity for future studies to enhance diagnostic and prognostic capabilities in this high-risk group.
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Affiliation(s)
- Jose Manuel Martinez
- Oncology Clinical Research Unit IPO Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC) & RISE@CI-IPOP (Health Research Network), Porto, Portugal
| | - Ana Espírito Santo
- Oncology Clinical Research Unit IPO Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC) & RISE@CI-IPOP (Health Research Network), Porto, Portugal
| | - Diana Ramada
- Oncology Nursing Research Unit IPO Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC) & RISE@CI-IPOP (Health Research Network), Porto, Portugal
| | - Filipa Fontes
- Approach to Precursor Lesions and Early Cancer Research Unit IPO Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC) & RISE@CI-IPOP (Health Research Network), Porto, Portugal
- Public Health Department and Forensic Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology and Viral Pathology Group Research Unit IPO Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC) & RISE@CI-IPOP (Health Research Network), Porto, Portugal
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Sokołowska EM, Wityk P, Szypenbejl J, Petrosjan R, Raczak-Gutknecht J, Waszczuk-Jankowska M, Dudzik D, Markuszewski M, Siemiński M. Clinical image of sepsis-associated encephalopathy midst E. coli urosepsis: Emergency department database study. Heliyon 2024; 10:e29530. [PMID: 38655312 PMCID: PMC11036046 DOI: 10.1016/j.heliyon.2024.e29530] [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: 10/06/2023] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024] Open
Abstract
Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection, which, if untreated, leads to multi-organ failure. One of the severe possible complications is sepsis associated encephalopathy (SAE), a neurological dysfunction occurring secondary to a severe inflammatory response. It manifests as acute cognitive dysfunction and sudden-onset dysfunctions in mental state. Uropathogenic Escherichia coli is the most common pathogen causing bacteremia, responsible for 80% of uncomplicated outpatient urinary tract infections and 40% of nosocomial infections. The study aimed to assess the difference in the severity and the course of urosepsis caused by E. coli in patients with and without septic encephalopathy. Materials and methods This study presents a retrospective analysis of the population of urosepsis patients admitted to the Emergency Department between September 2019 and June 2022. Inflammatory parameters, urinalysis and blood cultures were performed, along with a clinical evaluation of sepsis severity and encephalopathy. The patients were then stratified into SAE and non-SAE groups based on neurological manifestations and compared according to the collected data. Results A total of 199 septic patients were included in the study. E. coli-induced urosepsis was diagnosed in 84 patients. In this group, SAE was diagnosed in 31 (36.9%) patients (33.3% in males, 40.5% females). Patients with SAE were found to be hypotensive (p < 0,005), with a higher respiratory rate (p < 0,017) resulting in a higher mortality rate (p = 0.002) compared to non-SAE septic patients. The APACHE II score was an independent risk factor associated with a higher mortality rate. Biochemical parameters between the groups did not show any statistical importance related to the severity of urosepsis. Conclusions The severity of urosepsis and risk of SAE development increase according to the clinical condition and underlying comorbidities. Urosepsis patients with SAE are at a higher risk of death. Patients should undergo more careful screening for the presence of SAE on admission, and more intense monitoring and treatment should be provided for patients with SAE. This study indicates the need to develop projects aiming to further investigate neuroprotective interventions in sepsis.
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Affiliation(s)
| | - Paweł Wityk
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gdańsk, Poland
| | - Jacek Szypenbejl
- Department of Emergency Medicine, Medical University of Gdansk, Poland
| | - Rafael Petrosjan
- Emergency Department, University Clinical Center, Gdansk, Poland
| | - Joanna Raczak-Gutknecht
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Danuta Dudzik
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gdańsk, Poland
| | - Michał Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gdańsk, Poland
| | - Mariusz Siemiński
- Department of Emergency Medicine, Medical University of Gdansk, Poland
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Okay ZU, Okay B, Hatipoglu HU, Akkoc G, Sahin K. The association of fibrinogen-albumin ratio and neutrophil-lymphocyte ratio with the severity of respiratory syncytial virus infection in children. Rev Inst Med Trop Sao Paulo 2024; 66:e26. [PMID: 38656042 PMCID: PMC11027487 DOI: 10.1590/s1678-9946202466026] [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: 12/04/2023] [Accepted: 02/28/2024] [Indexed: 04/26/2024] Open
Abstract
Respiratory syncytial virus (RSV) is a common cause of respiratory infections. It is responsible for more than half of lower respiratory tract infections in infants requiring hospitalization. This study aimed to investigate the correlation between the fibrinogen-albumin ratio (FAR) and the severity of RSV infection and to compare its effectiveness with the neutrophil-lymphocyte ratio (NLR). This was a retrospective cohort study with patients aged from 29 days to two years who had been admitted to the pediatric clinic of our hospital. Patients were divided into four groups: group 1 (mild disease), group 2 (moderate disease), group 3 (severe disease), and group 4 (control). FAR and NLR were measured in all groups. FAR was significantly higher in group 3 than in the other groups, in group 2 than in groups 1 and 4, and in group 1 than in group 4 (p<0.001 for all). NLR was significantly higher in group 4 than in the other groups and in group 3 than in groups 1 and 2 (p<0.001 for all). FAR totaled 0.078 ± 0.013 in patients with bronchiolitis; 0.099 ± 0.028, in patients with bronchopneumonia; and 0.126 ± 0.036, in patients with lobar pneumonia, all with statistically significant differences (p<0.001). NLR showed no significant statistical differences. This study found a statistically significant increase in FAR in the group receiving invasive support when compared to that receiving non-invasive support (0.189 ± 0.046 vs. 0.112 ± 0.030; p=0.003). Mechanical ventilation groups showed no differences for NLR. FAR was used to identify severe RSV-positive patients, with a sensitivity of 84.4%, a specificity of 82.2%, and a cutoff value of >0.068. This study determined a cutoff value of ≤1.49 for NLR, with a sensitivity of 62.2% and a specificity of 62.2% to find severe RSV-positive patients. Also, statistically significant associations were found between FAR and hospitalization and treatment length and time up to clinical improvement (p<0.001 for all). NLR and hospitalization and treatment length showed a weak association (p<0.001). In children with RSV infection, FAR could serve to determine disease severity and prognosis and average lengths of hospitalization, treatment, and clinical improvement. Additionally, FAR predicted disease severity more efficiently than NLR.
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Affiliation(s)
- Zeynep Uze Okay
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Berker Okay
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Halil Ugur Hatipoglu
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
| | - Gulsen Akkoc
- Marmara University, Pendik Training and Research Hospital, Department of Pediatric Infectious Diseases, Pendik, Istanbul, Turkey
| | - Kamil Sahin
- University of Health Sciences, Haseki Training and Research Hospital, Department of Pediatrics, Sultangazi, Istanbul, Turkey
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Alexa AL, Sargarovschi S, Ionescu D. Neutrophils and Anesthetic Drugs: Implications in Onco-Anesthesia. Int J Mol Sci 2024; 25:4033. [PMID: 38612841 PMCID: PMC11012681 DOI: 10.3390/ijms25074033] [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: 02/12/2024] [Revised: 03/24/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024] Open
Abstract
Apart from being a significant line of defense in the host defense system, neutrophils have many immunological functions. Although there are not many publications that accurately present the functions of neutrophils in relation to oncological pathology, their activity and implications have been studied a lot recently. This review aims to extensively describe neutrophils functions'; their clinical implications, especially in tumor pathology; the value of clinical markers related to neutrophils; and the implications of neutrophils in onco-anesthesia. This review also aims to describe current evidence on the influence of anesthetic drugs on neutrophils' functions and their potential influence on perioperative outcomes.
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Affiliation(s)
- Alexandru Leonard Alexa
- Department of Anesthesia and Intensive Care I, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (S.S.); (D.I.)
- Association for Research in Anesthesia and Intensive Care (ACATI), 400162 Cluj-Napoca, Romania
- Onco-Anaesthesia Research Group, ESAIC, 1000 Brussels, Belgium
| | - Sergiu Sargarovschi
- Department of Anesthesia and Intensive Care I, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (S.S.); (D.I.)
- Association for Research in Anesthesia and Intensive Care (ACATI), 400162 Cluj-Napoca, Romania
| | - Daniela Ionescu
- Department of Anesthesia and Intensive Care I, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (S.S.); (D.I.)
- Association for Research in Anesthesia and Intensive Care (ACATI), 400162 Cluj-Napoca, Romania
- Onco-Anaesthesia Research Group, ESAIC, 1000 Brussels, Belgium
- Outcome Research Consortium, Cleveland, OH 44195, USA
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Erol ME, Civelek İ, Ozyalcin S, Beyazpınar DS, Kandemir O. Predicting Amputation Rates in Acute Limb Ischemia: Is the Neutrophil-Lymphocyte Ratio a Reliable Indicator? Cureus 2024; 16:e59253. [PMID: 38686104 PMCID: PMC11057397 DOI: 10.7759/cureus.59253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/29/2024] [Indexed: 05/02/2024] Open
Abstract
Objective This study aimed to investigate the causes of amputation and the associated biochemical parameters in patients with acute limb ischemia (ALI). Methods Patients who presented to our clinic with ALI between January 2012 and January 2022 were deemed eligible for participation. Patients who developed ALI owing to atherosclerosis or atrial fibrillation were included in the study. In contrast, patients who developed ALI owing to trauma, iatrogenic causes, or popliteal artery aneurysms were excluded. Patients' demographic data, biochemical parameters, and hemogram values at the time of admission were retrospectively analyzed. Results A total of 374 patients were included in the study. Of them, 57.82% (n = 218) were male and 42.18% (n= 156) were female. Amputation was required in 7.95% (n = 30) of the patients after presenting with ALI and receiving necessary surgical or medical intervention. Multivariate analysis revealed the symptom-to-door time to be the primary factor determining the need for amputation in patients. With each passing hour following the manifestation of symptoms, the risk of amputation increased by 1.3 times [odds ratio (OR): 1.289%, 95% confidence interval (CI): 1.079-1.540 p = 0.05]. The neutrophil-to-lymphocyte ratio (NLR) and other hematological parameters had no effect on amputation in both univariate and multivariate analyses (OR: 1.49%; 95% CI: 0.977-2.287 p = 0.512). Conclusions Based on our findings, the main factor affecting the need for amputation in ALI patients was the symptom-to-door time. Biochemical and hematological parameters had no effect on amputation in ALI.
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Affiliation(s)
- Mehmet Emir Erol
- Department of Cardiovascular Surgery, Ankara Etlik City Hospital, Ankara, TUR
| | - İsa Civelek
- Department of Cardiovascular Surgery, Ankara Etlik City Hospital, Ankara, TUR
| | - Sertan Ozyalcin
- Department of Cardiovascular Surgery, Ankara Etlik City Hospital, Ankara, TUR
| | | | - Ozer Kandemir
- Department of Cardiovascular Surgery, Ankara Etlik City Hospital, Ankara, TUR
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Ghasemi S, Mortezagholi B, Movahed E, Sanjarian S, Ghaedi A, Mallahi A, Bazrgar A, Khanzadeh M, Lucke-Wold B, Khanzadeh S. Neutrophil to lymphocyte ratio in odontogenic infection: a systematic review. Head Face Med 2024; 20:21. [PMID: 38539204 PMCID: PMC10976758 DOI: 10.1186/s13005-024-00421-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 03/10/2024] [Indexed: 01/08/2025] Open
Abstract
BACKGROUND We conducted this systematic review to compile the evidence for the role of neutrophil to lymphocyte ratio (NLR) in odontogenic infection (OI) and to determine whether NLR is elevated in patients with OI. This was done to aid physicians in better understanding this condition for clinical management. METHODS The search was conducted on PubMed, Scopus, and Web of Science libraries on March 30, 2023. Two reviewers independently screened the studies using Endnote software. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the studies. RESULTS A total of nine studies were included in the review. Among patients with OI, positive and statistically significant correlations of NLR were seen with more severe disease, a prolonged hospital stay, postoperative requirement of antibiotics, and total antibiotic dose needed. In the receiver operating characteristics (ROC) analysis, the optimum cut-off level of NLR was 5.19 (specificity: 81, sensitivity: 51). In addition, NLR was correlated with preoperative fever (p = 0.001). Among patients with Ludwig's Angina, NLR could predict disease severity and length of stay in the hospital (p = 0.032 and p = 0.033, respectively). In addition, the relationship between the NLR and mortality was statistically significant (p = 0.026, specificity of 55.5%, and sensitivity of 70.8%). Among patients with severe oral and maxillofacial space infection, a positive correlation was found between IL-6 and CRP with NLR (rs = 0.773, P = 0.005 and rs = 0.556, P = 0.020, respectively). Also, a higher NLR was considered an essential predictor of organ involvement (P = 0.027) and the number of complications (P = 0.001). However, among diabetes mellitus (DM) patients afflicted with submandibular abscesses, NLR had no association with therapeutic response. CONCLUSIONS Many people around the world suffer from OI, and a cheap and fast biomarker is needed for it. Interestingly, inflammation plays a role in this infection, and elevated NLR levels can be a good biomarker of inflammation and, as a result, for OI progression.
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Affiliation(s)
- Saeideh Ghasemi
- Dental school, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Bardia Mortezagholi
- Dental Research Center, Faculty of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Iran
| | - Emad Movahed
- Dental Research Center, Faculty of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Iran
| | | | - Arshin Ghaedi
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amirhossein Mallahi
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Aida Bazrgar
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Monireh Khanzadeh
- Geriatric & Gerontology Department, Medical School, Tehran University of medical and health sciences, Tehran, Iran
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21
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Jin S, Yin JB, Li W, Zang LL. Effect of neutrophil to lymphocyte ratio on prognosis of elderly patients with severe sepsis combined with diabetes mellitus. BMC Geriatr 2024; 24:211. [PMID: 38424501 PMCID: PMC10905898 DOI: 10.1186/s12877-024-04757-0] [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: 09/11/2023] [Accepted: 01/30/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND To investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR) in the short-term prognosis of elderly patients with severe sepsis combined with diabetes mellitus (DM). METHODS The clinical data of 162 elderly patients with severe sepsis combined with DM from January 2018 to December 2022 were retrospectively collected. These patients were divided into a survival group (n = 104) and a death group (n = 58) according to 90-day prognosis. The number of neutrophils, lymphocytes, and NLR were compared. The optimal cut-off value for NLR to predict 90-day prognosis in elderly patients with severe sepsis combined with DM was determined using Receiver Operator Characteristic (ROC) curves, and the patients were divided into high and low NLR groups depending on the optimal cut-off value. The Kaplan-Meier method was used to plot the survival curves of the high and low NLR groups. Risk factors for the 90-day death in elderly patients with severe sepsis combined with DM were analyzed by a multivariate cox regression model. RESULTS There were no significant differences in gender, age, history of hypertension and hyperlipidemia, intensive care unit (ICU) stay, duration of mechanical ventilation, and oxygenation index between the survival group and death group (p > 0.05). However, acute physiological and chronic health evaluation II (APACHE II) scores, and sepsis-related organ failure assessment (SOFA) scores were significantly lower in the survival group compared with the death group (p < 0.05). In the survival group, neutrophils counts and NLR were much lower than those in the death group, while lymphocytes counts were much higher (p < 0.05). ROC curves showed that the optimal cut-off value for NLR to predict 90-day mortality in elderly patients with severe sepsis combined with DM was 3.482. Patients were divided into high NLR and low NLR groups based on whether NLR was ≥ 3.482. In terms of the log-rank test results, patients in the low NLR group had a significantly higher 90-day survival rate than those in the high NLR group (Logrank χ2 = 8.635, p = 0.003). The multivariate cox regression model showed that the length of ICU stay longer than 15 days and NLR ≥ 3.482 were independent risk factors for 90-day prognosis in elderly patients with severe sepsis combined with DM. CONCLUSION NLR ≥ 3.482 can be used to predict whether poor prognosis occurs in the short term after illness in elderly patients with severe sepsis combined with DM, and has good assessment value.
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Affiliation(s)
- Shan Jin
- Department of Neurology, Shandong Province 960th Hospital of the People's Liberation Army, 250031, Jinan, Shandong, China.
| | - Jun-Bin Yin
- Department of Neurology, Shandong Province 960th Hospital of the People's Liberation Army, 250031, Jinan, Shandong, China
| | - Wei Li
- Department of Neurology, Shandong Province 960th Hospital of the People's Liberation Army, 250031, Jinan, Shandong, China
| | - Li-Li Zang
- Department of Neurology, Shandong Province 960th Hospital of the People's Liberation Army, 250031, Jinan, Shandong, China
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22
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Ye JH, Zhang Y, Naidoo K, Ye S. Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in psoriasis: a systematic review and meta-analysis. Arch Dermatol Res 2024; 316:85. [PMID: 38329632 DOI: 10.1007/s00403-024-02823-6] [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: 08/28/2023] [Revised: 08/28/2023] [Accepted: 01/12/2024] [Indexed: 02/09/2024]
Abstract
Psoriasis is a chronic, inflammatory skin disorder characterized by well-demarcated erythematous lesions with surface scaling. The disease is underpinned by a dysregulated immune response with a shift in the balance of neutrophils, lymphocytes and platelets. We sought to evaluate the novel systemic inflammatory markers, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), as psoriatic indicators. Pubmed, Web of Science and Scopus were systematically searched for relevant studies. Twenty-four studies consisting of a total of 2,275 psoriatic patients (1,301 males and 974 females) and 2,334 healthy controls (1,401 males and 933 females) were identified for inclusion in the quantitative analysis. The NLR and PLR were found to be significantly increased in psoriatic patients [standardized mean difference (SMD) = 0.68, 95% CI 0.56-0.80, p < 0.01, and SMD = 0.37, 95% CI 0.14-0.60, p < 0.01, respectively]. However, no association between the NLR and PLR with psoriasis severity was detected (p = 0.93, and p = 0.83, respectively). In conclusion, the NLR and PLR are simple and cost-effective markers of psoriatic presence, but their value as severity markers requires further study.
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Affiliation(s)
- John Han Ye
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, Oxfordshire, UK.
- University College London Hospitals NHS Foundation Trust, London, UK.
| | | | - Karmella Naidoo
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, Oxfordshire, UK
| | - Shu Ye
- Shantou University Medical College, Shantou, China
- Cardiovascular-Metabolic Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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23
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Hryciw BN, Rodic S, Selim S, Wang C, Lepage MF, Nguyen LH, Goyal V, van Walraven C. Derivation and External Validation of the Ottawa Bloodstream Infection Model for Acutely Ill Adults. J Gen Intern Med 2024; 39:103-112. [PMID: 37723368 PMCID: PMC10817882 DOI: 10.1007/s11606-023-08407-w] [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: 06/12/2023] [Accepted: 08/30/2023] [Indexed: 09/20/2023]
Abstract
BACKGROUND Knowing the probability that patients have a bloodstream infection (BSI) could influence the ordering of blood cultures and interpretation of their preliminary results. Many previous BSI probability models have limited applicability and accuracy. This study used currently recommended modeling techniques and a large sample to derive and validate the Ottawa BSI Model. METHODS At a tertiary care teaching hospital, we retrieved a random sample of 4180 adults having blood cultures in our emergency department or during the initial 48 h of the encounter. Variable selection was based on clinical experience and a systematic review of previous model performance. Model performance was measured in a temporal external validation group of 4680 patients. RESULTS A total of 327 derivation patients had a BSI (8.0%). BSI risk increased with increased number of culture sets (2 sets: adjusted odds ratio [aOR] 1.52 [1.10-2.11]; 3 sets: 1.99 [0.86-4.58]); with indwelling catheter (aOR 2.07 [1.34-3.20); with increasing temperature, heart rate, and neutrophil-lymphocyte ratio; and with decreasing systolic blood pressure, platelet count, urea-creatinine ratio, and estimated glomerular filtration rate. In the temporal external validation group, model discrimination was good (c-statistic 0.71 [0.69-0.74]) and calibration was very good (integrated calibration index .016 [.010-.024]). Exclusion of validation patients with acute SARS-CoV-2 infection improved discrimination slightly (c-statistic 0.73 [0.69-0.76]). CONCLUSIONS The Ottawa BSI Model uses commonly available data to return an expected BSI probability for acutely ill patients. However, it cannot exclude BSI and its complexity requires computational assistance to use.
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Affiliation(s)
- Brett N Hryciw
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Stefan Rodic
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Shehab Selim
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Chuqi Wang
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | | | | | - Vineet Goyal
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Carl van Walraven
- Department of Medicine, University of Ottawa, Ottawa, Canada.
- Department of Epidemiology & Community Medicine, University of Ottawa, Ottawa Hospital Research Institute, ICES, Ottawa, Canada.
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24
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Chen Y, Lu L, Li X, Liu B, Zhang Y, Zheng Y, Zeng Y, Wang K, Pan Y, Liang X, Wu Z, Fu Y, Huang Y, Li Y. Association between chronic obstructive pulmonary disease and 28-day mortality in patients with sepsis: a retrospective study based on the MIMIC-III database. BMC Pulm Med 2023; 23:435. [PMID: 37946194 PMCID: PMC10633936 DOI: 10.1186/s12890-023-02729-5] [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: 06/09/2023] [Accepted: 10/22/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Sepsis is a common cause of mortality in critically ill patients, and chronic obstructive pulmonary disease (COPD) is one of the most common comorbidities in septic patients. However, the impact of COPD on patients with sepsis remained unclear. Therefore, the purpose of this study aimed to assess the effect of COPD on the prognosis of septic patients based on Medical Information Mart for Intensive Care (MIMIC-III) database. METHODS In this retrospective study based on the (MIMIC)-III database version 1.4 (v1.4), we collected clinical data and 28-day all-cause mortality from patients with sepsis in intensive care unit (ICU) and these patients met the diagnostic criteria of Sepsis 3 on ICU admission between 2008 and 2012. International Classification of Diseases (ICD-9) (4660, 490, 4910, 4911, 49120, 49121, 4918, 4919, 4920, 4928, 494, 4940, 4941, 496) was used to identified COPD. We applied Kaplan-Meier analysis to compare difference of 28-day all-cause mortality between septic patients with and without COPD. Cox proportional-hazards model was applied to explore the risk factor associated with 28-day all-cause mortality in patients with sepsis. RESULTS Six thousand two hundred fifty seven patients with sepsis were included in this study, including 955 (15.3%) patients with COPD and 5302 patients without COPD (84.7%). Compared with patients without COPD, patients with COPD were older (median: 73.5 [64.4, 82.0] vs 65.8 [52.9, 79.1], P < 0.001), had higher simplified acute physiology score II (SAPSII) (median: 40.0 [33.0, 49.0] vs 38.0 [29.0,47.0], P < 0.001) and greater proportion of mechanical ventilatory support (MV) (55.0% vs 48.9%, P = 0.001). In our study, septic patients with COPD had higher 28-day all-cause mortality (23.6% vs 16.4%, P < 0.001) than patients without COPD. After adjusting for covariates, the results showed that COPD was an independent risk factor for the 28-day all-cause mortality of patients with sepsis (HR 1.30, 95%CI: 1.12-1.50, P = 0.001). CONCLUSIONS COPD was an independent risk factor of 28-day all-cause mortality in septic patients. Clinically, septic patients with COPD should be given additional care.
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Affiliation(s)
- Yubiao Chen
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Lifei Lu
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Xicong Li
- Department of Cardiology, Kunming Medical University, the 920th Hospital, Kunming, 650032, Yunnan, China
| | - Baiyun Liu
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Yu Zhang
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Yongxin Zheng
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Yuan Zeng
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Ke Wang
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Yaru Pan
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Xiangning Liang
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China
| | - Zhongji Wu
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China
| | - Yutian Fu
- Hubei University of Medicine, Shiyan, Hubei, 442000, China
| | - Yongbo Huang
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China.
| | - Yimin Li
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
- Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
- State Key Laboratory of Respiratory Diseases, Guangzhou, 510120, China.
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Ueda Y, Yokogawa N, Murata K, Kashiyama T. C-reactive protein and the neutrophil-to-lymphocyte ratio on admission predicting bacteraemia with COVID-19. Ann Med 2023; 55:2278618. [PMID: 37939245 PMCID: PMC10653696 DOI: 10.1080/07853890.2023.2278618] [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: 08/19/2023] [Accepted: 10/28/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Bacteraemia can co-occur with COVID-19. The present study aimed to determine the cut-off value for C-reactive protein (CRP) and the neutrophil-to-lymphocyte ratio (NLR) for predicting bacteraemia in patients with COVID-19. METHODS Patients admitted to Tokyo Metropolitan Tama Medical Centre for COVID-19 treatment between 1 April 2020 and 30 October 2022 were included. Patients transferred from other hospitals and those whose CRP and/or neutrophil count was not measured at admission were excluded. Community-acquired bacteraemia was diagnosed if true bacteraemia was diagnosed in patients via a blood culture performed within 72 h of admission. The cut-off value for CRP and the NLR for community-acquired bacteraemia were determined using receiver operating characteristic analysis. RESULTS Among 2989 patients hospitalized for COVID-19 treatment, 19 received the diagnosis of community-acquired bacteraemia, for which CRP ≥ 6.3 was determined to be the cut-off value. The sensitivity and specificity of the cut-off was 89.5% and 73.3%, respectively. The NLR cut-off value was ≥ 7.7, which had a sensitivity and specificity of 84.2% and 84.0%, respectively. CONCLUSIONS Considering the possibility of the co-occurrence of bacteraemia with COVID-19, a blood culture should be performed when CRP is ≥ 6.3 or the NLR is ≥ 7.7.
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Affiliation(s)
- Yoshitaka Ueda
- Department of Rheumatic Diseases, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | - Naoto Yokogawa
- Department of Rheumatic Diseases, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | - Kengo Murata
- Department of Emergency and General Medicine, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | - Tetsuya Kashiyama
- Department of Emergency and Critical Care, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
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Niknazar S, Bazgir N, Shafaei V, Abbaszadeh HA, Zali A, Asghar Peyvandi A. Assessment of prognostic biomarkers in sudden sensorineural hearing loss: A systematic review and meta-analysis. Clin Biochem 2023; 121-122:110684. [PMID: 37944628 DOI: 10.1016/j.clinbiochem.2023.110684] [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: 07/03/2023] [Revised: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
Sudden sensorineural hearing loss (SSNHL) is defined as hearing loss of more than 30 dB in less than 72 h. SSNHL is a frequent complaint and an emergency in otolaryngology. Various biomarkers have been used to determine the prognosis of SSNHL. This systematic review and meta-analysis aims to evaluate the relationship between the different biomarkers and the prognosis of SSNHL. We searched English-language literature up to October 2022 in four databases, including PubMed, Google Scholar, Cochrane, and Science Direct. This search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. This study was reported in the International Prospective Register of Systematic Reviews (PROSPERO) database (ID = CRD42022369538). All studies examining the role of neutrophil to lymphocyte ratio (NLR) concluded that higher NLR is associated with a worse prognosis. The results of studies regarding the relationship between platelet to lymphocyte ratio (PLR) and tumor necrosis factor (TNF) are controversial. Other factors shown to be associated with SSNHL include Glycated hemoglobin (HbA1C), blood glucose, iron levels, serum endocan, salusin-beta, and bone turnover biomarkers. This meta-analysis showed that PLR, NLR, and neutrophils were significantly different between recovered and non-recovered patients. PLR, NLR, and neutrophil count are reliable tools to assess the prognosis of patients with SSNHL.
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Affiliation(s)
- Somayeh Niknazar
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Hearing Disorders Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Narges Bazgir
- Hearing Disorders Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Vahideh Shafaei
- Hearing Disorders Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hojjat-Allah Abbaszadeh
- Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Anatomical Sciences and Biology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Zali
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Asghar Peyvandi
- Hearing Disorders Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Somay E, Yilmaz B, Topkan E, Kucuk A, Pehlivan B, Selek U. Initial neutrophil-to-lymphocyte ratio predicts radiation-induced trismus in parotid gland cancer. Oral Dis 2023; 29:2772-2779. [PMID: 36349491 DOI: 10.1111/odi.14429] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/03/2022] [Accepted: 11/06/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE To investigate the link between pretreatment neutrophil-to-lymphocyte ratio(NLR) and the incidence of radiation-induced trismus(RIT) in parotid gland cancers(PGC) patients after postoperative radiotherapy(PORT). METHOD Data of PGC patients who had oral examinations before and after PORT were reviewed retrospectively. We comprised patients who had maximum mouth opening (MMO) assessments before and after PORT and complete blood count test on the first day of PORT. MMO of ≤35 mm was considered as RIT. The receiver operating characteristic (ROC) curve analysis was used to search for an ideal NLR threshold value that might be linked to RIT rates. RESULTS Fifty-one patients were included, with a RIT incidence of 15.7%. The NLR cutoff that showed a link with the prevalence of RIT in the ROC curve analysis was 2.7[Area under the curve (AUC):82.0%; sensitivity:87.5%; specificity:74.4%]. The patients were divided into groups based on this value:Group 1: NLR≤2.7 (N = 34) and;NLR >2.7 (N = 17). In comparative analysis, the incidence of RIT was found to be statistically higher in the NLR >2.7 than counterpart (35.2%vs.5.8%;rs :0.79; p < .001). Also, a mean temporomandibular joint dose ≥51.0Gy was linked to increased RIT rates (p < .001). CONCLUSION This study showed that high pre-PORT NLR levels were a robust and independent predictor of significantly elevated rates of RIT.
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Affiliation(s)
- Efsun Somay
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Baskent University, Ankara, Turkey
| | - Busra Yilmaz
- Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Baskent University, Ankara, Turkey
| | - Erkan Topkan
- Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey
| | - Ahmet Kucuk
- Department of Radiation Oncology, Mersin City Hospital, Mersin, Turkey
| | - Berrin Pehlivan
- Department of Radiation Oncology, Bahcesehir University, Istanbul, Turkey
| | - Ugur Selek
- Department of Radiation Oncology, School of Medicine, Koc University, Istanbul, Turkey
- Department of Radiation Oncology, MD Anderson Cancer Center, The University of Texas, Houston, Texas, USA
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Kumar R, Kattimani B, Ojha PR, Khasage UJ. Quick Sequential Organ Failure Assessment Score, Lactate, and Neutrophil-Lymphocyte Ratio Help in Diagnosis and Mortality Prediction during Golden Hour of Sepsis in Emergency Department. J Emerg Trauma Shock 2023; 16:161-166. [PMID: 38292274 PMCID: PMC10824218 DOI: 10.4103/jets.jets_37_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/21/2023] [Accepted: 07/06/2023] [Indexed: 02/01/2024] Open
Abstract
Introduction Sepsis is a life-threatening condition with a very narrow golden period in which confirmatory diagnosis may change the outcome dramatically. No confirmatory biomarker is available till date for early diagnosis of sepsis. This study aimed to evaluate the combined and independent role of quick sequential organ failure assessment (qSOFA) score, lactate, and neutrophil-lymphocyte ratio (NLR) in diagnosis and mortality prediction in early sepsis. Methods This was a hospital-based, single-center, prospective cohort study conducted in a tertiary care institute, Karnataka, India. Three hundred adult sepsis patients were recruited during 10-month period, and demographic data, qSOFA score, lactate, NLR, and culture samples were collected in ED within 1 h of admission. Outcome groups (survivor and nonsurvivor) were statistically analyzed with relative frequencies (%), median, mean ± standard deviation with 95% confidence interval (CI), univariate, bivariate, and multivariate logistic regression analysis, and Receiver -operating characteristic curve (ROC) curve to test the predictive ability of initial levels of three biomarkers. Results Sepsis was more prevalent among middle-aged male patients. Male gender (odds ratio [OR], 6.9; 95% CI: 1.61-30.1), qSOFA (OR, 154; 95% CI: 15-1565), and lactate (OR, 1.36; 95% CI: 22-833) show 97% (area under the curve) predictive accuracy of the model for sepsis on bivariate and multivariate logistic regression analysis. A significant rise in NLR was a poor outcome indicator on univariate analysis (P = 0.773). Conclusion All three biomarkers are good outcome predictors whereas qSOFA and lactate have diagnostic significance in early sepsis. These markers can be used for patient triaging, minimizing culture report dependence for treatment and ultimately the outcome.
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Affiliation(s)
- Rakesh Kumar
- Department of Emergency Medicine, BLDE, Vijayapura, Karnataka, India
| | - Babu Kattimani
- Department of Emergency Medicine, BLDE, Vijayapura, Karnataka, India
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Glisic T, Popovic DD, Lolic I, Toplicanin A, Jankovic K, Dragasevic S, Aleksic M, Stjepanovic M, Oluic B, Matovic Zaric V, Radisavljevic MM, Stojkovic Lalosevic M. Hematological Indices Are Useful in Predicting Complications of Liver Cirrhosis. J Clin Med 2023; 12:4820. [PMID: 37510935 PMCID: PMC10381513 DOI: 10.3390/jcm12144820] [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: 05/13/2023] [Revised: 07/01/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Liver cirrhosis is the final stage of chronic liver disease. We aimed to evaluate non-invasive scores as predictors of complications and outcome in cirrhotic patients. METHODS A total of 150 cirrhotic patients were included. Models for end-stage liver disease (MELD), albumin-bilirubin (ALBI) score, neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MoLR), and neutrophil-lymphocyte-albumin ratio (NLA) scores were tested in relation to the development of complications and mortality using receiver operating characteristic (ROC) curves. RESULTS The ROC curve analysis showed (area under the curve) AUC values of NLR, NLA, ALBI, and MELD of 0.711, 0.730, 0.627, and 0.684, respectively, for short-term mortality. MELD, ALBI, and NLA scores showed a statistically significant correlation with hepatic encephalopathy (p = 0.000 vs. 0.014 vs. 0.040, respectively), and the MELD cut-off value of 16 had a sensitivity of 70% and a specificity of 52% (AUC: 0.671, 95% CI (0.577-0.765)). For the assessment of the presence of ascites, the AUC values for NLA and MoLR were 0.583 and 0.658, respectively, with cut-offs of 11.38 and 0.44. CONCLUSIONS MELD, ALBI, and NLA are reliable predictors of hepatic encephalopathy. NLA and MoLR showed a significant correlation with the presence of ascites, and MELD, ALBI, NLR, and NLA have prognostic value to predict 30-day mortality in cirrhotic patients.
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Affiliation(s)
- Tijana Glisic
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
| | - Dusan D. Popovic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
- Department of Gastroenterology, Clinical and Hospital Center “Dr Dragisa Misovic-Dedinje”, 11000 Belgrade, Serbia
| | - Iva Lolic
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
| | - Aleksandar Toplicanin
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
| | - Katarina Jankovic
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
| | - Sanja Dragasevic
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
| | - Marko Aleksic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
| | - Mihailo Stjepanovic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
| | - Branislav Oluic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
| | - Vera Matovic Zaric
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
| | | | - Milica Stojkovic Lalosevic
- Clinic of Gastroenterology and Hepatology, University Clinical Center of Serbia, 11000 Belgrade, Serbia; (I.L.); (A.T.); (K.J.); (S.D.); (V.M.Z.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (D.D.P.); (M.A.); (M.S.); (B.O.)
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Zhou T, Ren Z, Ma Y, He L, Liu J, Tang J, Zhang H. Early identification of bloodstream infection in hemodialysis patients by machine learning. Heliyon 2023; 9:e18263. [PMID: 37519767 PMCID: PMC10375788 DOI: 10.1016/j.heliyon.2023.e18263] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 07/08/2023] [Accepted: 07/12/2023] [Indexed: 08/01/2023] Open
Abstract
Background Bloodstream infection (BSI) is a prevalent cause of admission in hemodialysis (HD) patients and is associated with increased morbidity and mortality. This study aimed to establish a diagnostic, predictive model for the early identification of BSI in HD patients. Methods HD patients who underwent blood culture testing between August 2018 and March 2022 were enrolled in this study. Machine learning algorithms, including stepwise logistic regression (SLR), Lasso logistic regression (LLR), support vector machine (SVM), decision tree, random forest (RF), and gradient boosting machine (XGboost), were used to predict the risk of developing BSI from the patient's clinical data. The accuracy (ACC) and area under the subject working curve (AUC) were used to evaluate the performance of such models. The Shapley Additive Explanation (SHAP) values were used to explain each feature's predictive value on the models' output. Finally, a simplified nomogram for predicting BSI was devised. Results A total of 391 HD patients were enrolled in this study, of whom 74 (18.9%) were diagnosed with BSI. The XGboost model achieved the highest AUC (0.914, 95% confidence interval [CI]: 0.861-0.964) and ACC (86.3%) for BSI prediction. The four most significant co-variables in both the significance matrix plot of the XGboost model variables and the SHAP summary plot were body temperature, dialysis access via a non-arteriovenous fistula (non-AVF), the procalcitonin levels (PCT), and neutrophil-lymphocyte ratio (NLR). Conclusions This study created an effective machine-learning model for predicting BSI in HD patients. The model could be used to detect BSI at an early stage and hence guide antibiotic treatment in HD patients.
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Affiliation(s)
- Tong Zhou
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Zhouting Ren
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yimei Ma
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Linqian He
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jiali Liu
- Department of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Jincheng Tang
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Heping Zhang
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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Costa T, Nogueiro J, Ribeiro D, Viegas P, Santos-Sousa H. Impact of serum albumin concentration and neutrophil-lymphocyte ratio score on gastric cancer prognosis. Langenbecks Arch Surg 2023; 408:57. [PMID: 36689025 DOI: 10.1007/s00423-023-02799-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/22/2022] [Indexed: 01/24/2023]
Abstract
INTRODUCTION/AIM Serum albumin concentration (COA) and neutrophil-lymphocyte ratio (NLR) could reflect immunological and nutritional status. We aim to evaluate the impact of COA-NLR score on the prognosis of gastric cancer (GC). MATERIAL AND METHODS We perform a retrospective analysis on a database of 637 GC cases, between January 2010 and December 2017. In 396 patients, the inclusion criteria for this study were met (non-resectional or palliative surgery were excluded). Analytic data was only available in 203 patients. COA-NLR score was defined as follows: COA under 35 g/L and NLR value of 2.585 or higher, score 2; one of these conditions, score 1; and neither, score 0. RESULTS In our population (n = 203), 87 patients were classified as score 0, 82 as score 1 and 34 as score 2. COA-NLR score was significantly associated with DFS (HR 1.674; CI 95% 1.115-2.513; p = 0.013) and with OS (HR 2.072; CI 95% 1.531-2.805; p < 0.001). Kaplan-Meier curve analysis (log rank test) revealed that a higher score of COA-NLR predicted a worse OS (p < 0.001) and DFS (p = 0.03). COA-NLR was an independent prognostic factor for OS when adjusted to pStage and age (adjusted HR 1.566; CI 95% 1.145-2.143; p = 0.005). CONCLUSIONS Preoperative COA-NLR score was significantly associated with worse OS and DFS and, in this way, with worse prognosis on GC patients submitted to curative-intent resectional surgery.
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Affiliation(s)
- Teresa Costa
- Faculty of Medicine, University of Porto, Porto, Portugal.
- Surgery Department, Guarda Local Health Unit, Guarda, Portugal.
| | - Jorge Nogueiro
- Faculty of Medicine, University of Porto, Porto, Portugal
- Surgery Department, São João University Medical Center, Porto, Portugal
| | - Daniel Ribeiro
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - Pedro Viegas
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - Hugo Santos-Sousa
- Faculty of Medicine, University of Porto, Porto, Portugal
- Surgery Department, São João University Medical Center, Porto, Portugal
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Monitoring of the Forgotten Immune System during Critical Illness-A Narrative Review. Medicina (B Aires) 2022; 59:medicina59010061. [PMID: 36676685 PMCID: PMC9866378 DOI: 10.3390/medicina59010061] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/24/2022] [Accepted: 12/25/2022] [Indexed: 12/29/2022] Open
Abstract
Immune organ failure is frequent in critical illness independent of its cause and has been acknowledged for a long time. Most patients admitted to the ICU, whether featuring infection, trauma, or other tissue injury, have high levels of alarmins expression in tissues or systemically which then activate innate and adaptive responses. Although necessary, this response is frequently maladaptive and leads to organ dysfunction. In addition, the counter-response aiming to restore homeostasis and repair injury can also be detrimental and contribute to persistent chronic illness. Despite intensive research on this topic in the last 40 years, the immune system is not routinely monitored in critical care units. In this narrative review we will first discuss the inflammatory response after acute illness and the players of maladaptive response, focusing on neutrophils, monocytes, and T cells. We will then go through commonly used biomarkers, like C-reactive protein, procalcitonin and pancreatic stone protein (PSP) and what they monitor. Next, we will discuss the strengths and limitations of flow cytometry and related techniques as an essential tool for more in-depth immune monitoring and end with a presentation of the most promising cell associated markers, namely HLA-DR expression on monocytes, neutrophil expression of CD64 and PD-1 expression on T cells. In sum, immune monitoring critically ill patients is a forgotten and missing piece in the monitoring capacity of intensive care units. New technology, including bed-side equipment and in deep cell phenotyping using emerging multiplexing techniques will likely allow the definition of endotypes and a more personalized care in the future.
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Rosca O, Bumbu BA, Ancusa O, Talpos S, Urechescu H, Ursoniu S, Bloanca V, Pricop M. The Role of C-Reactive Protein and Neutrophil to Lymphocyte Ratio in Predicting the Severity of Odontogenic Infections in Adult Patients. MEDICINA (KAUNAS, LITHUANIA) 2022; 59:medicina59010020. [PMID: 36676644 PMCID: PMC9866968 DOI: 10.3390/medicina59010020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/11/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Background and Objectives: Odontogenic infections (OI) represent a frequent cause of dental and maxillo-facial interventions, mostly due to late presentations or misdiagnosed complications. It is believed that the intensity of the immunoinflammatory response in OI is the main prognostic factor. Therefore, in this research, it was pursued to determine if the combination of C-reactive protein (CRP) and Neutrophil to Lymphocyte Ratio (NLR) (CRP-NLR) may serve as potential severity predictors in patients with odontogenic infections. Materials and Methods: A retrospective analysis on 108 patients hospitalized for odontogenic infections was conducted at the Department of Maxillofacial Surgery. Depending on the symptom severity scale, patients hospitalized with OI were divided into two equal groups based on infection severity (SS). Results: Patients with severe OI from Group B were associated more frequently with diabetes mellitus and smoking more often than those with a lower severity from Group A. In Group A, abscesses of odontogenic origin accounted for 70.4% of hospitalizations, while in Group B, abscesses and cellulitis were associated in 55.6% of cases (p-value < 0.001). The disease outcomes were more severe in Group B patients, where 22.2% of them developed sepsis, compared to 7.4% of Group A patients (p-value = 0.030). However, there was no significant difference in mortality rates. The SS and systemic immune inflammation index (SII) scores of Group B patients were substantially higher than Group A patients (13.6 vs. 6.1 for the SS score, p-value < 0.001), respectively, 2312.4 vs. 696.3 for the SII score (p-value < 0.001). All biomarker scores, including the CRP-NLR relationship, were considerably higher in Group B patients, with a median score of 341.4 vs. 79.0 in Group B (p-value < 0.001). The CRP-NLR association determined a 7.28-fold increased risk of severe OI. The receiver operating curve (ROC) analysis of CRP-NLR yielded an area under curve (AUC) value of 0.889, with high sensitivity (79.6%) and high specificity (85.1%), for predicting a severe odontogenic infection using biomarkers measured at hospital admission (p-value < 0.001). Conclusions: Therefore, it can be concluded that CRP-NLR is a reliable and affordable biomarker for determining the severity of odontogenic infections that may be included in other prognostic models for dental infections.
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Affiliation(s)
- Ovidiu Rosca
- Department XIII, Discipline of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Bogdan Andrei Bumbu
- Department of Dental Medicine, Faculty of Medicine and Pharmacy, University of Oradea, University Street 1, 410087 Oradea, Romania
- Correspondence:
| | - Oana Ancusa
- Department V, Discipline of Medical Semiology I, Faculty of General Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Serban Talpos
- Discipline of Oral and Maxillo-Facial Surgery, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Horatiu Urechescu
- Discipline of Oral and Maxillo-Facial Surgery, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Sorin Ursoniu
- Department of Functional Sciences, Center for Translational Research and Systems Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Vlad Bloanca
- Department of Plastic Surgery, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Marius Pricop
- Discipline of Oral and Maxillo-Facial Surgery, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
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NLR, MLR, PLR and RDW to predict outcome and differentiate between viral and bacterial pneumonia in the intensive care unit. Sci Rep 2022; 12:15974. [PMID: 36153405 PMCID: PMC9509334 DOI: 10.1038/s41598-022-20385-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/13/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractThe neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and red cell distribution width (RDW) are emerging biomarkers to predict outcomes in general ward patients. However, their role in the prognostication of critically ill patients with pneumonia is unclear. A total of 216 adult patients were enrolled over 2 years. They were classified into viral and bacterial pneumonia groups, as represented by influenza A virus and Streptococcus pneumoniae, respectively. Demographics, outcomes, and laboratory parameters were analysed. The prognostic power of blood parameters was determined by the respective area under the receiver operating characteristic curve (AUROC). Performance was compared using the APACHE IV score. Discriminant ability in differentiating viral and bacterial aetiologies was examined. Viral and bacterial pneumonia were identified in 111 and 105 patients, respectively. In predicting hospital mortality, the APACHE IV score was the best prognostic score compared with all blood parameters studied (AUC 0.769, 95% CI 0.705–0.833). In classification tree analysis, the most significant predictor of hospital mortality was the APACHE IV score (adjusted P = 0.000, χ2 = 35.591). Mechanical ventilation was associated with higher hospital mortality in patients with low APACHE IV scores ≤ 70 (adjusted P = 0.014, χ2 = 5.999). In patients with high APACHE IV scores > 90, age > 78 (adjusted P = 0.007, χ2 = 11.221) and thrombocytopaenia (platelet count ≤ 128, adjusted P = 0.004, χ2 = 12.316) were predictive of higher hospital mortality. The APACHE IV score is superior to all blood parameters studied in predicting hospital mortality. The single inflammatory marker with comparable prognostic performance to the APACHE IV score is platelet count at 48 h. However, there is no ideal biomarker for differentiating between viral and bacterial pneumonia.
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Varady NH, Schwab PE, Kheir MM, Dilley JE, Bedair H, Chen AF. Synovial Fluid and Serum Neutrophil-to-Lymphocyte Ratio: Novel Biomarkers for the Diagnosis and Prognosis of Native Septic Arthritis in Adults. J Bone Joint Surg Am 2022; 104:1516-1522. [PMID: 35726876 DOI: 10.2106/jbjs.21.01279] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Septic arthritis (SA) is a musculoskeletal emergency for which prompt diagnosis and treatment are critical. However, traditional diagnostic criteria of a synovial fluid (SF) white blood-cell count (WBC) of >50,000 cells/mm 3 or >90% polymorphonuclear leukocytes (%PMN) are not particularly sensitive or specific for the diagnosis of SA. Furthermore, prognostic markers are lacking. The purposes of this study were to assess the discriminative ability of the SF neutrophil-to-lymphocyte ratio (NLR) in the diagnosis of SA and of the serum NLR in the prognosis of SA. METHODS A multi-institution, retrospective study of 598 patients with native shoulder, hip, or knee SA in 2000 to 2018 was conducted. SF-NLR was calculated from the arthrocentesis cell count with differential. Receiver operating characteristic curves were analyzed, and the optimal threshold of SF-NLR for SA diagnosis was determined using the Youden index. Results were compared with traditional SF diagnostic criteria. Similar analyses assessed the association of serum NLR with 90-day treatment failure and mortality for the subset of patients with confirmed hip or knee SA and with serum complete blood-cell counts with differentials (n = 235). Results were compared with traditional serum prognostic markers (WBC, C-reactive protein [CRP], and erythrocyte sedimentation rate [ESR]). RESULTS The SF-NLR (area under the receiver operating characteristic curve [AUC], 0.85 [95% confidence interval (CI), 0.82 to 0.88]) was significantly more accurate for an SA diagnosis than SF-WBC (AUC, 0.80 [95% CI, 0.76 to 0.83]; p = 0.002) and SF-%PMN (AUC, 0.81 [95% CI, 0.77 to 0.84]; p = 0.01). The optimal threshold of SF-NLR was 25 (78% sensitivity and 81% specificity), compared with >50,000 cells/mm 3 for SF-WBC (56% sensitivity and 80% specificity) and >90% for SF-%PMN (65% sensitivity and 78% specificity). Elevated serum NLR was independently associated with 90-day treatment failure (odds ratio [OR], 7.04 [95% CI, 3.78 to 13.14]; p < 0.001) and mortality (OR, 7.33 [95% CI, 2.00 to 26.92]; p = 0.003); elevated serum WBC and CRP were also associated with treatment failure, and WBC, CRP, and ESR were not associated with mortality. CONCLUSIONS This study provides compelling data on the superior diagnostic and prognostic ability of serum NLR and SF-NLR for SA compared with current clinical standards. Given that this biomarker requires no additional cost or time to return than current laboratory tests already being performed, pending validation, it can readily be used to aid clinicians in the diagnosis and prognostication of SA. LEVEL OF EVIDENCE Diagnostic Level IV . See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Nathan H Varady
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY
| | - Pierre-Emmanuel Schwab
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri
| | - Michael M Kheir
- Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY.,Department of Orthopaedic Surgery, University of Indiana, Indianapolis, Indiana
| | - Julian E Dilley
- Department of Orthopaedic Surgery, University of Indiana, Indianapolis, Indiana
| | - Hany Bedair
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Antonia F Chen
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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He X, Qi S, Zhang X, Pan J. The relationship between the neutrophil-to-lymphocyte ratio and diabetic retinopathy in adults from the United States: results from the National Health and nutrition examination survey. BMC Ophthalmol 2022; 22:346. [PMID: 35978314 PMCID: PMC9382734 DOI: 10.1186/s12886-022-02571-z] [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: 01/18/2022] [Accepted: 08/10/2022] [Indexed: 11/22/2022] Open
Abstract
Background Diabetic retinopathy (DR) is a common complication of diabetes mellitus (DM). Systemic inflammation is intimately associated with DR. The neutrophil-to-lymphocyte ratio (NLR) index is a relatively new indicator of inflammation. Methods This cross-sectional study was carried out among adults with DM based on the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2016. NLR was presented as absolute neutrophil counts/ absolute lymphocyte counts. The relationship of NLR levels to DR was analyzed using multivariable logistic regression. Results There were 2772 eligible subjects extracted from the NHANES. In the multivariate analysis, NLR was related to the risk of DR after adjustment for potential confounders. The association between NLR levels and DR was nonlinear, with an inflection point of 4.778. Compared with the baseline values, NLR was not statistically significant on the right side of the inflection point (1.000, 0.914 to 1.094, 0.9974) but was positively associated with DR on the left side (1.236, 1.132 to 1.349, < 0.0001). Conclusions NLR reflects systemic inflammation that may increase the risk of DR. NLR positively correlates with DR when its value is less than 4.778.
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Affiliation(s)
- Xiaojie He
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shanshan Qi
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xi Zhang
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jiandong Pan
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
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Buonacera A, Stancanelli B, Colaci M, Malatino L. Neutrophil to Lymphocyte Ratio: An Emerging Marker of the Relationships between the Immune System and Diseases. Int J Mol Sci 2022; 23:3636. [PMID: 35408994 PMCID: PMC8998851 DOI: 10.3390/ijms23073636] [Citation(s) in RCA: 410] [Impact Index Per Article: 136.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/24/2022] [Accepted: 03/25/2022] [Indexed: 01/27/2023] Open
Abstract
Over the last 10 years, the evaluation of the neutrophil-to-lymphocyte ratio (NLR) as an emerging marker of diseases has become a compelling field of bio-medical research. Although a precise and unique cut-off value has not been yet found, its role as a flag of immune system homeostasis is well established. NLR has a well-known prognostic value and independently correlates with mortality in the general population and in several specific subsets of disease (sepsis, pneumonia, COVID-19, cancer, etc.). Moreover, NLR was recently considered as part of the decision-making processes concerning the admission/recovery of patients with COVID-19 pneumonia. This review aims to provide an overview of the main use of this biomarker, focusing on the pathophysiology and the molecular basis underlying its central role as a reliable mirror of inflammatory status and adaptive immunity.
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Affiliation(s)
- Agata Buonacera
- Emergency Department, Policlinico S. Marco, 95121 Catania, Italy;
| | | | - Michele Colaci
- Academic Unit of Internal Medicine and Hypertension Centre, Department of Clinical and Experimental Medicine, University of Catania, Cannizzaro Hospital, 95126 Catania, Italy;
| | - Lorenzo Malatino
- Academic Unit of Internal Medicine and Hypertension Centre, Department of Clinical and Experimental Medicine, University of Catania, Cannizzaro Hospital, 95126 Catania, Italy;
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Zhang J, Zeng J, Zhang L, Yu X, Guo J, Li Z. The Utility of Peripheral Blood Leucocyte Ratios as Biomarkers in Neonatal Sepsis: A Systematic Review and Meta-Analysis. Front Pediatr 2022; 10:908362. [PMID: 35935369 PMCID: PMC9353072 DOI: 10.3389/fped.2022.908362] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/10/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Early stage diagnosis of neonatal sepsis (NS) remains a major roadblock due to non-specific symptoms and the absence of precise laboratory index tests. The full blood count is a relatively cheap, universal, and rapid diagnostic test. METHOD This study assessed the diagnostic accuracies of immature-to-total neutrophil ratio (ITR), immature-to-mature neutrophil ratio (IMR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) used in the diagnosis of NS. Included studies were retrieved by searching four major databases and relevant references, and reviewed based on the inclusion/exclusion criteria. Pooled sensitivities and specificities were calculated, I 2 was utilized to test for heterogeneity, and the source was investigated via meta-regression analysis. RESULTS Finally, 38 studies passed the eligibility criteria. A total of thirty-one studies (6,221 neonates) included data on the ITR, eight studies (1,230 neonates) included data on the IMR, seven studies (751 neonates) included data on the NLR, and two studies (283 neonates) included data on the PLR. The summary sensitivity estimates with 95% confidence interval (CI) for the ITR, IMR, NLR, and PLR tests were, respectively, 0.74 (95% CI: 0.66-0.80), 0.74 (95% CI: 0.54-0.88), 0.73 (95% CI: 0.68-0.78), and 0.81 (95% CI: 0.55-1.00). The summary specificity values for the ITR, IMR, NLR, and PLR tests were 0.83 (95% CI: 0.77-0.87), 0.89 (95% CI: 0.80-0.94), 0.69 (95% CI: 0.57-0.79), and 0.93 (95% CI: 0.81-1.00), respectively. The area under the summary receiver operating characteristic curves for the ITR, IMR, and NLR tests were 0.85 (95% CI: 0.82-0.88), 0.91 (95% CI: 0.88-0.93), and 0.75 (95% CI: 0.71-0.79). The PLR could not be evaluated because only two studies included pertinent data. CONCLUSION The NLR test might not be sufficiently accurate in precisely diagnosing NS. The ITR and IMR tests alone can improve the accuracy of NS diagnosis, but the marked heterogeneity and the limited number of studies prevented us from reaching any definitive conclusions. Thus, further studies are warranted to validate these findings. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/], identifier [CRD42021247850].
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Affiliation(s)
- Juanjuan Zhang
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an, China
| | - Jun'an Zeng
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an, China
| | - Liangjuan Zhang
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an, China
| | - Xiping Yu
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an, China
| | - Jinzhen Guo
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an, China
| | - Zhankui Li
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an, China
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Silva J, Giglio BM, Lobo PC, Araújo VA, Pimentel GD. Neutrophil-to-lymphocyte ratio is not associated with risk of sarcopenia in elderly COVID-19 patients. Rev Esp Geriatr Gerontol 2022; 57:325-329. [PMID: 36357231 PMCID: PMC9537255 DOI: 10.1016/j.regg.2022.09.010] [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: 03/03/2022] [Revised: 08/16/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND To assess the existence of association between neutrophil to lymphocyte ratio (NLR) and the risk of sarcopenia in COVID-19 patients. METHODS A retrospective cross-sectional study was conducted in a university hospital with patients with an active COVID-19 infection admitted to the nursing ward or intensive care unit (ICU) between September to December 2020. Sarcopenia risk was assessed using the Strength, Assistance for walking, Rise from a chair, Climb stairs and Falls (SARC-F). Biochemical analyses were assessed by circulating of C-reactive protein, D-dimer, neutrophils, lymphocytes count and NLR. Sixty-eight patients were evaluated and divided into tertiles of NLR values and the association between NLR and sarcopenia risk were tested using the linear regression analyses and p<0.05 were considered as significant. RESULTS Sixty-eight patients were evaluated and divided in NLR tertiles being the 1st (men=52.2%; 71.1±9.0 y; NLR: 1.1-3.85), 2nd (women=78.3%; 73.2±9.1 y; NLR: 3.9-6.0) and 3rd (men=72.7%; 71.7±10.4 y; NLR: 6.5-20.0). There was a difference between the tertiles in relation to the first to the biochemical parameters of total neutrophils count (p=0.001), C-reactive protein (p=0.012), and D-dimer (p=0.012). However, no difference was found in linear regression analysis between tertiles of NLR and SARC-F, if in total sample (p=0.054) or divided by sex, if men (p=0.369) or women (p=0.064). CONCLUSION In elderly patients hospitalized with COVID-19, we do not find an association between the risk of sarcopenia and NLR.
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Diagnostic Value of the Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) in Various Respiratory Diseases: A Retrospective Analysis. Diagnostics (Basel) 2021; 12:diagnostics12010081. [PMID: 35054248 PMCID: PMC8774859 DOI: 10.3390/diagnostics12010081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 12/24/2021] [Accepted: 12/27/2021] [Indexed: 11/16/2022] Open
Abstract
The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte (PLR) ratio are two extensively used inflammatory markers that have been proved very useful in evaluating inflammation in several diseases. The present article aimed to investigate if they have any value in distinguishing among various respiratory disorders. One hundred and forty-five patients with coronavirus disease 2019 (COVID-19), 219 patients with different chronic respiratory diseases (interstitial lung disease, obstructive sleep apnea(OSA)-chronic obstructive pulmonary disease (COPD) overlap syndrome, bronchiectasis) and 161 healthy individuals as a control group were included in the study. While neither NLR nor PLR had any power in differentiating between various diseases, PLR was found to be significant but poor as a diagnostic test when the control group was compared with the OSA-COPD group. NLR was found to be significant but poor as a diagnostic test when we compared the control group with all three groups (separately): the OSA-COPD group; interstitial lung disease group, and bronchiectasis group. NLR and PLR had poor power to discriminate between various respiratory diseases and cannot be used in making the differential diagnosis.
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Spoto S, Lupoi DM, Valeriani E, Fogolari M, Locorriere L, Beretta Anguissola G, Battifoglia G, Caputo D, Coppola A, Costantino S, Ciccozzi M, Angeletti S. Diagnostic Accuracy and Prognostic Value of Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios in Septic Patients outside the Intensive Care Unit. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:811. [PMID: 34441017 PMCID: PMC8399559 DOI: 10.3390/medicina57080811] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/29/2021] [Accepted: 07/31/2021] [Indexed: 12/29/2022]
Abstract
Background and Objectives: The aim of this study was to evaluate the diagnostic accuracy and prognostic value of neutrophil-to-lymphocyte (NLR) and platelet-to-lymphocyte (PLR) ratios and to compare them with other biomarkers and clinical scores of sepsis outside the intensive care unit. Materials and methods: In this retrospective study, 251 patients with sepsis and 126 patients with infection other than sepsis were enrolled. NLR and PLR were calculated as the ratio between absolute values of neutrophils, lymphocytes, and platelets by complete blood counts performed on whole blood by Sysmex XE-9000 (Dasit, Italy) following the manufacturer's instruction. Results: The best NLR value in diagnosis of sepsis was 7.97 with sensibility, specificity, AUC, PPV, and NPV of 64.26%, 80.16%, 0.74 (p < 0.001), 86.49%, and 53.18%, respectively. The diagnostic role of NLR significantly increases when PLR, C-reactive protein (PCR), procalcitonin (PCT), and mid-regional pro-adrenomedullin (MR-proADM) values, as well as systemic inflammatory re-sponse syndrome (SIRS), sequential organ failure assessment (SOFA), and quick-sequential organ failure assessment (qSOFA) scores, were added to the model. The best value of NLR in predicting 90-day mortality was 9.05 with sensibility, specificity, AUC, PPV, and NPV of 69.57%, 61.44%, 0.66 (p < 0.0001), 28.9%, and 89.9%, respectively. Sensibility, specificity, AUC, PPV, and NPV of NLR increase if PLR, PCR, PCT, MR-proADM, SIRS, qSOFA, and SOFA scores are added to NLR. Conclusions: NLR and PLR represent a widely useful and cheap tool in diagnosis and in predict-ing 90-day mortality in patients with sepsis.
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Affiliation(s)
- Silvia Spoto
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Domenica Marika Lupoi
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Emanuele Valeriani
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Marta Fogolari
- Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome, 00128 Roma, Italy;
| | - Luciana Locorriere
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Giuseppina Beretta Anguissola
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Giulia Battifoglia
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Damiano Caputo
- Department of Surgery, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (D.C.); (A.C.)
| | - Alessandro Coppola
- Department of Surgery, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (D.C.); (A.C.)
| | - Sebastiano Costantino
- Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, 00128 Roma, Italy; (S.S.); (D.M.L.); (E.V.); (L.L.); (G.B.A.); (G.B.); (S.C.)
| | - Massimo Ciccozzi
- Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, 00128 Roma, Italy;
| | - Silvia Angeletti
- Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome, 00128 Roma, Italy;
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Xu Q, Zhan X, Zhou Z, Li Y, Xie P, Zhang S, Li X, Yu Y, Zhou C, Zhang L, Gevaert O, Lu G. AI-based analysis of CT images for rapid triage of COVID-19 patients. NPJ Digit Med 2021; 4:75. [PMID: 33888856 PMCID: PMC8062628 DOI: 10.1038/s41746-021-00446-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/24/2021] [Indexed: 01/08/2023] Open
Abstract
The COVID-19 pandemic overwhelms the medical resources in the stressed intensive care unit (ICU) capacity and the shortage of mechanical ventilation (MV). We performed CT-based analysis combined with electronic health records and clinical laboratory results on Cohort 1 (n = 1662 from 17 hospitals) with prognostic estimation for the rapid stratification of PCR confirmed COVID-19 patients. These models, validated on Cohort 2 (n = 700) and Cohort 3 (n = 662) constructed from nine external hospitals, achieved satisfying performance for predicting ICU, MV, and death of COVID-19 patients (AUROC 0.916, 0.919, and 0.853), even on events happened two days later after admission (AUROC 0.919, 0.943, and 0.856). Both clinical and image features showed complementary roles in prediction and provided accurate estimates to the time of progression (p < 0.001). Our findings are valuable for optimizing the use of medical resources in the COVID-19 pandemic. The models are available here: https://github.com/terryli710/COVID_19_Rapid_Triage_Risk_Predictor .
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Affiliation(s)
- Qinmei Xu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
- Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA
| | - Xianghao Zhan
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Zhen Zhou
- Deepwise AI Lab, Deepwise Inc., Beijing, China
| | - Yiheng Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Peiyi Xie
- Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shu Zhang
- Deepwise AI Lab, Deepwise Inc., Beijing, China
| | - Xiuli Li
- Deepwise AI Lab, Deepwise Inc., Beijing, China
| | - Yizhou Yu
- Deepwise AI Lab, Deepwise Inc., Beijing, China
| | - Changsheng Zhou
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - Longjiang Zhang
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - Olivier Gevaert
- Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA.
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.
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Gallagher N, Collyer J, Bowe C. Neutrophil to lymphocyte ratio as a prognostic marker of deep neck space infections secondary to odontogenic infection. Br J Oral Maxillofac Surg 2021; 59:228-232. [DOI: 10.1016/j.bjoms.2020.08.075] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 08/12/2020] [Indexed: 12/17/2022]
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Neal Webb SJ, Schapiro SJ, Sherwood CC, Raghanti MA, Hopkins WD. Neutrophil to Lymphocyte Ratio (NLR) in captive chimpanzees (Pan troglodytes): The effects of sex, age, and rearing. PLoS One 2020; 15:e0244092. [PMID: 33326497 PMCID: PMC7743966 DOI: 10.1371/journal.pone.0244092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 12/02/2020] [Indexed: 11/19/2022] Open
Abstract
In humans, neutrophil to lymphocyte ratio (NLR) has been used as a clinical tool in diagnosis and/or prognosis of a variety of cancers and medical conditions, as well as in measuring physiological stress over time. Given the close phylogenetic relationship and physical similarities between humans and apes, NLR may similarly be a useful diagnostic tool in assessing chimpanzee health. Only one study has examined NLR in apes, reporting that NLR increased with age and was affected by body-mass index and sex. In the current study, we examined changes in NLR data from longitudinal health records for 443 chimpanzees in two captive chimpanzee populations. Using these data, we analyzed intra-individual changes and inter-individual differences in NLR as a function of age, rearing history, and sex. Contrary to previous studies in humans and the one previous study in chimpanzees, NLR values did not change over a 10-year timespan within individual chimpanzees. However, cross-sectional comparisons revealed a significant quadratic relationship between age and NLR, with the highest values during mid-life (20-30 years of age) and the lowest values in younger and older individuals. Additionally, males and mother-reared individuals had higher NLR than females and nursery-reared chimpanzees, respectively. Lastly, males and those with higher NLR values died at younger ages. These findings suggest that NLR may be useful as a predictor of longevity in chimpanzees. However, given the complexities of these relationships, more research is needed to determine the utility of NLR as a diagnostic health tool for chimpanzees.
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Affiliation(s)
- Sarah J. Neal Webb
- Michale E. Keeling Center for Comparative Medicine and Research, National Center for Chimpanzee Care, The University of Texas MD Anderson Cancer Center, Bastrop, Texas, United States of America
| | - Steven J. Schapiro
- Michale E. Keeling Center for Comparative Medicine and Research, National Center for Chimpanzee Care, The University of Texas MD Anderson Cancer Center, Bastrop, Texas, United States of America
- Department of Experimental Medicine, The University of Copenhagen, Copenhagen, Denmark
| | - Chet C. Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, D. C., United States of America
| | - Mary Ann Raghanti
- Department of Anthropology, School of Biomedical Sciences, and Brain Health Research Institute, Kent State University, Kent, Ohio, United States of America
| | - William D. Hopkins
- Michale E. Keeling Center for Comparative Medicine and Research, National Center for Chimpanzee Care, The University of Texas MD Anderson Cancer Center, Bastrop, Texas, United States of America
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Xu Q, Zhan X, Zhou Z, Li Y, Xie P, Zhang S, Li X, Yu Y, Zhou C, Zhang L, Gevaert O, Lu G. CT-based Rapid Triage of COVID-19 Patients: Risk Prediction and Progression Estimation of ICU Admission, Mechanical Ventilation, and Death of Hospitalized Patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020. [PMID: 33173894 DOI: 10.1101/2020.11.04.20225797] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The wave of COVID-19 continues to overwhelm the medical resources, especially the stressed intensive care unit (ICU) capacity and the shortage of mechanical ventilation (MV). Here we performed CT-based analysis combined with electronic health records and clinical laboratory results on Cohort 1 (n = 1662 from 17 hospitals) with prognostic estimation for the rapid stratification of PCR confirmed COVID-19 patients. These models, validated on Cohort 2 (n = 700) and Cohort 3 (n = 662) constructed from 9 external hospitals, achieved satisfying performance for predicting ICU, MV and death of COVID-19 patients (AUROC 0.916, 0.919 and 0.853), even on events happened two days later after admission (AUROC 0.919, 0.943 and 0.856). Both clinical and image features showed complementary roles in events prediction and provided accurate estimates to the time of progression (p<.001). Our findings are valuable for delivering timely treatment and optimizing the use of medical resources in the pandemic of COVID-19.
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Liberski PS, Szewczyk M, Krzych ŁJ. Haemogram-Derived Indices for Screening and Prognostication in Critically Ill Septic Shock Patients: A Case-Control Study. Diagnostics (Basel) 2020; 10:diagnostics10090638. [PMID: 32867031 PMCID: PMC7555761 DOI: 10.3390/diagnostics10090638] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/22/2020] [Accepted: 08/26/2020] [Indexed: 12/18/2022] Open
Abstract
This study aimed (1) to assess the diagnostic accuracy of neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), monocyte-to-lymphocyte (MLR) and platelet count-to-mean platelet volume (PLT/MPV) ratios in predicting septic shock in patients on admission to the intensive care unit (ICU) and (2) to compare it with the role of C-reactive protein (CRP), procalcitonin (PCT) and lactate level. We also sought (3) to verify whether the indices could be useful in ICU mortality prediction and (4) to compare them with Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II) and Sequential Organ Failure Assessment (SOFA) scores. This retrospective study covered 138 patients, including 61 subjects with multi-organ failure due to septic shock (study group) and 77 sex- and age-matched controls. Septic patients had significantly higher NLR (p < 0.01) and NLR predicted septic shock occurrence (area under the ROC curve, AUROC = 0.66; 95% CI 0.58-0.74). PLR, MLR and PLT/MPV were impractical in sepsis prediction. Combination of CRP with NLR improved septic shock prediction (AUROC = 0.88; 95% CI 0.81-0.93). All indices failed to predict ICU mortality. APACHE II and SAPS II predicted mortality with AUROC = 0.68; 95% CI 0.54-0.78 and AUROC = 0.7; 95% CI 0.57-0.81, respectively. High NLR may be useful to identify patients with multi-organ failure due to septic shock but should be interpreted along with CRP or PCT. The investigated indices are not related with mortality in this specific clinical setting.
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Królicki T, Bardowska K, Kościelska-Kasprzak K, Mazanowska O, Krajewska M, Kamińska D. Systemic Inflammatory Markers Predict Detrimental Outcome of Urosepsis in Kidney Transplant Recipients. Transplant Proc 2020; 52:2382-2387. [PMID: 32571705 DOI: 10.1016/j.transproceed.2020.01.107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Accepted: 01/22/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Urosepsis is a frequent cause of hospitalization among kidney transplant recipients (KTxR). Systemic inflammatory markers may reflect disease severity; nevertheless, their predictive value has not been evaluated in KTxRs. AIMS We sought to investigate the diagnostic and prognostic value of blood-derived systemic inflammatory markers during urosepsis in KTxR. METHODS We retrospectively enrolled 80 transplant recipients who were hospitalized between 2014 and 2017 due to urosepsis and followed for at least 1 year. Multiple parameters were calculated from medical records. The study endpoint was defined as death, graft loss, or a more than double serum creatinine level compared with baseline. RESULTS Seventeen patients reached an endpoint and presented at admission significantly lower total serum protein [g/dL] (5.0 ± 0.6 vs 6.0 ± 0.7) and higher urea [mg/dL] (161, 118-218 vs 80, 56-125), neutrophil-to-lymphocyte ratio (NLR) (20.0, 12.5-48.3 vs 12.9, 7.0-20.1), platelet-to-lymphocyte ratio (PLR) (447, 203-706 vs 231, 160-357), derived neutrophil-to-lymphocyte ratio (dNLR) (8.5, 5.6-10.4 vs 5.3, 2.9-8.5), and maximal Sequential Organ Failure Assessment (SOFA) score (6, 4-7 vs 3, 3-5). Among blood markers, NLR showed the strongest correlation with C-reactive protein, procalcitonin, creatinine, urea, and maximal SOFA score. The NLR cut-off value >15 predicted endpoint occurrence with 59% specificity and 75% sensitivity (area under the curve [AUC] 0.67, P = .038). The combined impact of NLR, urea, and total serum protein increased the prognostic precision (sensitivity 85% and specificity 84%, AUC = 0.88, P < .001). CONCLUSIONS The combined impact of NLR, urea, and total serum protein identifies KTxR who are at risk of a bad outcome after urosepsis and require more meticulous care.
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Affiliation(s)
- Tomasz Królicki
- Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland.
| | | | | | - Oktawia Mazanowska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Magdalena Krajewska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Dorota Kamińska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wrocław, Poland
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Zheng N, Zhu D, Han Y. Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia. BMC Pulm Med 2020; 20:166. [PMID: 32527243 PMCID: PMC7289235 DOI: 10.1186/s12890-020-01207-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 06/02/2020] [Indexed: 02/07/2023] Open
Abstract
Background The relationship between biomarkers and hospital-acquired pneumonia (HAP) is understudied, especially in severe cases admitted to the intensive care unit (ICU). Compared with community-acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in hospitals. Methods A total of 593 adult patients were enrolled in this retrospective cohort study to determine the neutrophil/lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level upon admission to the ICU. According to diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under each ROC curve (AUROC). Multivariable analysis was also applied to determine the most appropriate prognostic factors. Results NLCR, PCT and CRP were markedly different between the non-infection and HAP groups. NLCR had a worse ability to discriminate severe infection (AUROC 0.626; 95% CI 0.581–0.671) than conventional markers such as CRP (0.685, 95% CI 0.641–0.730) and PCT (0.661, 95% CI 0.615–0.707). In addition, the AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, was significantly greater than that of any single biomarker. Conclusions NLCR was not comparable to conventional single biomarkers, such as CRP and PCT, for diagnosing or evaluating the severity of HAP. Composite biomarkers that have good accessibility, especially the combination of NLCR, CRP and WBC, could help with early diagnosis and severity evaluation.
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Affiliation(s)
- Nan Zheng
- Department of Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Dongmei Zhu
- Department of Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Yi Han
- Department of Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
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Liu F, Zhang Q, Huang C, Shi C, Wang L, Shi N, Fang C, Shan F, Mei X, Shi J, Song F, Yang Z, Ding Z, Su X, Lu H, Zhu T, Zhang Z, Shi L, Shi Y. CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients. Theranostics 2020; 10:5613-5622. [PMID: 32373235 PMCID: PMC7196293 DOI: 10.7150/thno.45985] [Citation(s) in RCA: 147] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 04/14/2020] [Indexed: 01/08/2023] Open
Abstract
Rationale: Some patients with coronavirus disease 2019 (COVID-19) rapidly develop respiratory failure or even die, underscoring the need for early identification of patients at elevated risk of severe illness. This study aims to quantify pneumonia lesions by computed tomography (CT) in the early days to predict progression to severe illness in a cohort of COVID-19 patients. Methods: This retrospective cohort study included confirmed COVID-19 patients. Three quantitative CT features of pneumonia lesions were automatically calculated using artificial intelligence algorithms, representing the percentages of ground-glass opacity volume (PGV), semi-consolidation volume (PSV), and consolidation volume (PCV) in both lungs. CT features, acute physiology and chronic health evaluation II (APACHE-II) score, neutrophil-to-lymphocyte ratio (NLR), and d-dimer, on day 0 (hospital admission) and day 4, were collected to predict the occurrence of severe illness within a 28-day follow-up using both logistic regression and Cox proportional hazard models. Results: We included 134 patients, of whom 19 (14.2%) developed any severe illness. CT features on day 0 and day 4, as well as their changes from day 0 to day 4, showed predictive capability. Changes in CT features from day 0 to day 4 performed the best in the prediction (area under the receiver operating characteristic curve = 0.93, 95% confidence interval [CI] 0.87~0.99; C-index=0.88, 95% CI 0.81~0.95). The hazard ratios of PGV and PCV were 1.39 (95% CI 1.05~1.84, P=0.023) and 1.67 (95% CI 1.17~2.38, P=0.005), respectively. CT features, adjusted for age and gender, on day 4 and in terms of changes from day 0 to day 4 outperformed APACHE-II, NLR, and d-dimer. Conclusions: CT quantification of pneumonia lesions can early and non-invasively predict the progression to severe illness, providing a promising prognostic indicator for clinical management of COVID-19.
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Affiliation(s)
- Fengjun Liu
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Qi Zhang
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
- The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China
- School of Communication and Information Engineering, Shanghai University, Shanghai, China
- Institute of Healthcare Research, Yizhi, Shanghai, China
| | - Chao Huang
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
- Institute of Healthcare Research, Yizhi, Shanghai, China
| | - Chunzi Shi
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Lin Wang
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Nannan Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Cong Fang
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
- Institute of Healthcare Research, Yizhi, Shanghai, China
| | - Fei Shan
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Severe Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Shi
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
| | - Fengxiang Song
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Zhongcheng Yang
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
| | - Zezhen Ding
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
| | - Xiaoming Su
- Institute of Healthcare Research, Yizhi, Shanghai, China
| | - Hongzhou Lu
- Department of Infectious Disease, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Tongyu Zhu
- Department of Urology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Zhiyong Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Lei Shi
- Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, China
- Institute of Healthcare Research, Yizhi, Shanghai, China
| | - Yuxin Shi
- Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Huang Z, Fu Z, Huang W, Huang K. Prognostic value of neutrophil-to-lymphocyte ratio in sepsis: A meta-analysis. Am J Emerg Med 2019; 38:641-647. [PMID: 31785981 DOI: 10.1016/j.ajem.2019.10.023] [Citation(s) in RCA: 285] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 10/08/2019] [Accepted: 10/16/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Neutrophil-to-lymphocyte ratio (NLR) has been used to predict the prognosis of patients with sepsis with inconsistent results. This meta-analysis aimed to clarify the prognostic value of NLR in patients with sepsis. METHODS A comprehensive literature search for relevant studies, published prior to March 2019, was conducted using PubMed, Web of Science, and the China National Knowledge. Infrastructure database. Standard mean differences (SMDs) with 95% confidence intervals (CI) were used to evaluate the NLR of patients with sepsis retrospectively. Hazard ratios (HRs) with 95% CIs were used to evaluate the prognostic value of NLR in patients with sepsis. RESULTS Patients from 14 studies (n = 11,564) were selected for evaluation. Nine studies (1371 patients) analyzed the NLR in these patients. The pooled results showed significantly higher NLR in non-survivors than in survivors (random-effects model: SMD = 1.18, 95% CI; 0.42-1.94). Nine studies (10,685 patients) evaluated the prognostic value of NLR for sepsis; the pooled results showed that higher NLR was associated with poor prognosis in patients with sepsis (fixed-effects model: HR = 1.75, 95% CI; 1.56-1.97). Subgroup analysis revealed that study design, cut-off NLR, or primary outcome did not affect the prognostic value of NLR in patients with sepsis. CONCLUSION This meta-analysis indicates that NLR may be a helpful prognostic biomarker of patients with sepsis and that higher NLR values may indicate unfavorable prognoses in these patients.
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Affiliation(s)
- Zhiwei Huang
- Department of Intensive Care Unit, First People's Hospital of Qinzhou, Qinzhou 535001, China.
| | - Zhaoyin Fu
- Department of Intensive Care Unit, First People's Hospital of Qinzhou, Qinzhou 535001, China.
| | - Wujun Huang
- Department of Intensive Care Unit, First People's Hospital of Qinzhou, Qinzhou 535001, China
| | - Kegang Huang
- Department of Intensive Care Unit, First People's Hospital of Qinzhou, Qinzhou 535001, China.
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