The global impact of the COVID-19 pandemic was remarkably diverse, unfolding with multiple waves that have touched countries and continents in distinctive ways, leading to varying rates of mortality. The objectives of this study were to examine the characteristics and in-hospital fatality rates of COVID-19 patients hospitalized in the Monastir governorate over two years, with an overall analysis and a wave-specific breakdown throughout the pandemic's progression.

We carried out a two-year longitudinal study, enrolling all COVID-19-infected patients admitted to both public and private health facilities in the governorate of Monastir from March 2020 to March 2022. The study covered six complete infection waves. Patients were followed from their first day of admission to their outcome in hospital. The data were collected using a questionnaire manually completed by well-trained residents. The data were globally analyzed across all hospitalized patients and then compared based on the different waves.

Overall, 5176 were hospitalized. The cumulative in-hospital case fatality rate (CFR) over the study period was 21.4%. After the first wave (W1), the in-hospital CFR followed a gradual increase, reaching its peak at 27.5% during W4 (alpha variant). Later, it decreased to 21.8% during W5 (delta variant), and further declined to 19.5% during W6, associated with the Omicron variant (overall p < 0.001). W5 exhibited the highest proportions of infections, hospitalizations, and in-hospital deaths. W6 featured a low hospitalization rate of 2.8% and a decline in severe cases. Nevertheless, there was a significant surge in hospitalizations among both the pediatric (≤ 18 years) and geriatric (≥ 75 years) populations, with a pronounced impact on the elderly with chronic conditions. This surge resulted in an increase in fatalities among the elderly. The length of stay (LoS) decreased throughout the course of the pandemic, declining from 13 days [10;14] in W1 to 4 days [2;9] in W6 with almost half of them had a LoS less than seven days (55.6%).

This study underscores the critical interplay of variant-specific disease severity, patient demographics, and evolving healthcare responses in managing COVID-19's impact on hospital outcomes.

Epidemiological surveys indicate an increasing incidence of type 2 diabetes mellitus (T2DM) among children and adolescents worldwide. Due to rapid disease progression, severe long-term cardiorenal complications, a lack of effective treatment strategies, and substantial socioeconomic burdens, it has become an urgent public health issue that requires management and resolution. Adolescent T2DM differs from adult T2DM. Despite a significant increase in our understanding of youth-onset T2DM over the past two decades, the related review and evidence-based content remain limited.

To visualize the hotspots and trends in pediatric and adolescent T2DM research and to forecast their future research themes.

This study utilized the terms "children", "adolescents", and "type 2 diabetes", retrieving relevant articles published between 1983 and 2023 from three citation databases within the Web of Science Core Collection (SCI, SSCI, ESCI). Utilizing CiteSpace and VoSviewer software, we analyze and visually represent the annual output of literature, countries involved, and participating institutions. This allows us to predict trends in this research field. Our analysis encompasses co-cited authors, journal overlays, citation overlays, time-zone views, keyword analysis, and reference analysis, etc.

A total of 9210 articles were included, and the annual publication volume in this field showed a steady growth trend. The United States had the highest number of publications and the highest H-index. The United States also had the most research institutions and the strongest research capacity. The global hot journals were primarily diabetes professional journals but also included journals related to nutrition, endocrinology, and metabolism. Keyword analysis showed that research related to endothelial dysfunction, exposure risk, cardiac metabolic risk, changes in gut microbiota, the impact on comorbidities and outcomes, etc., were emerging keywords. They have maintained their popularity in this field, suggesting that these areas have garnered significant research interest in recent years.

Pediatric and adolescent T2DM is increasingly drawing global attention, with genes, behaviors, environmental factors, and multisystemic interventions potentially emerging as future research hot spots.

COVID-19, caused by SARS-CoV-2, has spread globally, presenting a significant public health challenge. Vaccination has played a critical role in reducing severe disease and deaths. However, the waning of immunity after vaccination and the emergence of immune-escape variants require the continuation of vaccination efforts, including booster doses, to maintain population immunity. This study models the dynamics of COVID-19 in the Basque Country, Spain, aiming to characterize the population's immunity profile and assess its impact on the severity of outbreaks from 2020 to 2022.

A SIR/DS model was developed to analyze the interplay of virus-specific and vaccine-induced immunity. The model includes three levels of immunity, with boosting effects from reinfection and/or vaccination. It was validated using empirical daily case data from the Basque Country. The model tracks shifts in immunity status and their effects on disease dynamics over time.

The COVID-19 epidemic in the Basque Country progressed through three distinct phases, each shaped by dynamic interactions between virus transmission, public health interventions, and vaccination efforts. The initial phase was marked by a rapid surge in cases, followed by a decline due to strict public health measures, with a seroprevalence of 1.3 % . In the intermediate phase, multiple smaller outbreaks emerged as restrictions were relaxed and new variants, such as Alpha and Delta, appeared. During this period, reinfection rates reached 20 % , and seroprevalence increased to 32 % . The final phase, dominated by the Omicron variant, saw a significant rise in cases driven by waning immunity and the variant's high transmissibility. Notably, 34 % of infections during this phase occurred in the naive population, with seroprevalence peaking at 43 % . Across all phases, the infection of naive and unvaccinated individuals contributed significantly to the severity of outbreaks, emphasizing the critical role of vaccination in mitigating disease impact.

The findings underscore the importance of continuous monitoring and adaptive public health strategies to mitigate the evolving epidemiological and immunological landscape of COVID-19. Dynamic interactions between immunity levels, reinfections, and vaccinations are critical in shaping outbreak severity and guiding evidence-based interventions.

In December 2019, COVID-19 emerged in China and spread rapidly throughout the world, including India. So far, India has witnessed three spells of the disease, termed the first, second, and third waves; although the first two waves were significant in terms of severity, mortality, and need for respiratory support, the third wave had no significant impact and most people recovered without being admitted to the hospital. The present study aimed to discuss the clinical demographic characteristics and in-hospital outcomes of COVID-19 patients and their comparisons between the first and second waves.

This was a retrospective, single-center study, comprising data collected regarding demographic, epidemiological, and outcomes of COVID-19 patients admitted to a tertiary care facility in north India. Patient death or requirement of respiratory support was considered as patient outcomes.

Of 3563 COVID-19 patients, 2459 comprised the first wave and 1104, the second wave. There was a significantly higher age, increased proportion of female gender, clinical symptoms, ventilator, and non-invasive ventilation (NIV) support, as well as patients' mortality in the second wave, whereas the distribution of the comorbidities was statistically equal between the first and second waves.

The second wave of COVID-19 was more devastating in terms of the severity of the disease, the need for respiratory support, and mortality in the patients. Poor outcomes were associated with the presence of any one comorbidity and the absence of vaccination in the patients.

To describe the impact on maternal and perinatal outcomes of the Delta variant of COVID-19 compared to the pre-Delta period in pregnant women with COVID-19 infections in one large public, non-profit hospital system.

We conducted a retrospective chart review of identified COVID-19 diagnosed pregnant women with the outcome of pregnancy (livebirth or stillbirths). We assessed maternal and perinatal outcomes between the pre-delta and Delta variant time periods.

A study cohort of 173 mother-baby dyads was identified from January 2020 to November 2021. Maternal outcomes showed a higher rate of cesarean section (33.8%,49%; p = 0.047), with a higher frequency for worsening maternal condition due to COVID-19 (2.8%, 13.7%; p = 0.016) and association with non-reassuring fetal heart tones as indications for cesarean Sect. (53.8%, 95%; p = 0.008) during the Delta time period. There were more preterm births (16.9%, 32.4%; p = 0.023) even when excluding stillbirths (16.9%,30%; p = 0.05). Cesarean section due to "worsening maternal condition" was an independent risk factors for early delivery (β = 2.66, 93.32-62.02, p < 0.001). The neonates had a longer mean (7.1 days, 9.9 days; p < 0.001) and median (2 days, 3 days; p < 0.001) length of stay during the Delta period. There was no difference in Apgar scores, NICU admissions or need for respiratory support between time periods.

In a public, non-profit health system, from January 2020 to November of 2021, mothers with a diagnosis of COVID-19 during pregnancy, there were more preterm deliveries during the Delta time period, as well as longer length of stay for liveborn babies.

This prospective observational study compared the 1H NMR blood lipidomes and metabolomes of 71 patients with community-acquired pneumonia (CAP), 75 patients with COVID-19 pneumonia, and 75 healthy controls (matched by age and sex) to identify potential biomarkers and pathways associated with respiratory infections. Both pneumonia groups had comparable severity indices, including mortality, invasive mechanical ventilation, and intensive care unit admission rates. Patients with COVID-19 pneumonia exhibited more pronounced hypolipidemia, with significantly lower levels of total cholesterol and LDL-c compared to patients with CAP. Atherogenic lipoprotein subclasses (VLDL-cholesterol, IDL-cholesterol, IDL-triglyceride, and LDL-triglyceride/LDL-cholesterol) were significantly increased in severe cases of both pneumonia types, while lower HDL-c and small, dense HDL particles were associated with more severe illness. Both infected groups showed decreased esterified cholesterol and increased triglycerides, along with reduced phosphatidylcholine, lysophosphatidylcholine, PUFA, omega-3 fatty acids, and DHA. Additionally, infected patients had elevated levels of glucose, lactate, 3-hydroxybutyrate, and acetone, which are linked to inflammation, hypoxemia, and sepsis. Increased levels of branched-chain amino acids, alanine, glycine, and creatine, which are involved in energy metabolism and protein catabolism, were also observed. Neurotransmitter synthesis metabolites like histidine and glutamate were higher in infected patients, especially those with COVID-19. Notably, severe infections showed a significant decrease in glutamine, essential for lymphocyte and macrophage energy. The severity of COVID-19 pneumonia was also associated with elevated glycoprotein levels (glycoprotein A, glycoprotein B, and glycoprotein F), indicating an inflammatory state. These findings suggest that metabolomic and lipidomic changes in pneumonia are connected to bioenergetic pathways regulating the immune response.

This retrospective cohort study aims to describe the clinical characteristics and outcomes and assess risk factors for mortality across the epidemic waves in hospitalized COVID-19 patients in a major tertiary-care center in Pakistan. A total of 5368 patients with COVID-19, hospitalized between March 2020 and April 2022 were included. The median age was 58 years (IQR: 44-69), 41% were females, and the overall mortality was 12%. Comparative analysis of COVID-19 waves showed that the proportion of patients aged ≥ 60 years was highest during the post-wave 4 period (61.4%) and Wave 4 (Delta) (50%) (p < 0.001). Male predominance decreased from 65.2% in Wave 2 to 44.2% in Wave 5 (Omicron) (p < 0.001). Mortality rate was lowest at 9.4% in wave 5 and highest at 21.6% in the post-wave 4 period (p = 0.041). In multivariable analysis for risk factors of mortality, acute respiratory distress syndrome (ARDS) was most strongly associated with mortality (aOR 22.98, 95% CI 15.28-34.55, p < 0.001), followed by need for mechanical ventilation (aOR 6.81, 95% CI 5.13-9.05, p < 0.001). Other significant risk factors included acute kidney injury (aOR 3.05, 95% CI 2.38-3.91, p < 0.001), stroke (aOR 2.40, 95% CI 1.26-4.60, p = 0.008), pulmonary embolism (OR 2.07, 95% CI 1.28-3.35, p = 0.003), and age ≥ 60 years (aOR 2.45, 95% CI 1.95-3.09, p < 0.001). Enoxaparin use was associated with lower mortality odds (aOR 0.45, 95% CI 0.35-0.60, p < 0.001. Patients hospitalized during Wave 4 (aOR 2.22, 95% CI 1.39-3.56, p < 0.001) and the post-wave 4 period (aOR 2.82, 95% CI 1.37-5.80, p = 0.005) had higher mortality odds compared to other waves. The study identifies higher mortality risk in patients admitted in Delta wave and post-wave, aged ≥ 60 years, and with respiratory and renal complications, and lower risk with anticoagulation during COVID-19 waves.

Early in the COVID-19 pandemic, positive COVID-19 status often disqualified potential organ donors due to perceived risks, despite limited evidence. Subsequent studies have clarified that the COVID-19 status of donors, particularly when incidental and not the cause of death, does not adversely affect non-lung transplant outcomes. This study quantifies the potential loss of eligible organ donors and the corresponding impact on organ availability during the initial phase of the pandemic.

In this retrospective analysis, we examined deceased donor referrals to a major organ procurement organization from June 2020 to January 2022. Referrals were categorized as All Referrals, Medically Ruled Out (MRO), or Procured Donors (PD). We used Chi-square tests for categorical comparisons and logistic regression to model additional donors and organs, contrasting COVID-negative and positive cases within age-matched cohorts.

Among 9478 referrals, 23.4 % (2221) were COVID-positive. Notably, COVID-positive referrals had a substantially higher MRO rate (80.6 % vs. 29.6 %, p < 0.01) and a markedly lower PD rate (0.2 % vs. 8.2 %, p < 0.01). Potential missed donations of 103 organs from COVID-positive referrals were identified.

This OPO-level study demonstrates a substantial impact of COVID-19 status on organ donation rates, revealing significant missed opportunities. Improved management of donor COVID-19 status could potentially increase organ donations nationwide, taking into account evolving evidence and vaccine availability changes.

As future physicians, medical students have experienced tremendous pressure during the ongoing COVID-19 pandemic, which is associated with a high risk of depression and anxiety. We aimed to investigate an overview of the prevalence of anxiety and depression among medical students in various countries during the global COVID-19 pandemic, and discuss associated stressors.

We systematically searched CINAHL, EMBASE, MEDLINE, PubMed, and Web of Science for relevant articles from December 1, 2019 to March 15, 2023. We performed meta-analysis using a random-effects model with REML method to calculate the pooled prevalence of anxiety and depression. Begg's and Egger's tests were used to identify the potential risk of publication bias. Meta-regression was used to explore potential sources of heterogeneity.

We identified 130 studies reporting anxiety and depression among 132,068 medical students during the COVID-19 pandemic. Eight screening tools were identified for anxiety and six for depression. The pooled prevalence of mental health outcomes for anxiety and depression was 45% (95% confidence interval [CI], 40%-49%) and 48% (95% CI, 43%-52%), respectively. The pooled prevalence of mental health outcomes for moderate and severe anxiety and moderate and severe depression was 28% (95% CI, 24%-32%) and 30% (95% CI, 26%-35%), respectively. There was high heterogeneity between studies, with I2 ranging from 99.58%-99.66%. Continent and survey date were included in the meta-regression model. The results of meta-regression revealed that medical students in Asia had a lower prevalence of anxiety, and depression than those in other regions. The survey date (from February to June, 2020) showed a significantly positive correlation with the prevalence of anxiety and depression.

We demonstrated the global prevalence of anxiety and depression among medical students during the COVID-19 pandemic. The data highlight that medical students worldwide are at high risk of experiencing anxiety and depression. The reported stressors can be categorized into personal, academic, environmental and cultural, and pandemic factors. Schools and institutions should ensure optimal alternative learning environments for uninterrupted provision of medical education. The appropriate authorities should prioritize the provision of adequate protection for medical students and establish policies to promote new methods of training and education during a disaster, such as via distance learning.

COVID-19 is an infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2 virus). This virus evolved into several variants, each with different severity. There are surges in the number of infected patients, commonly described as "waves." In Kuwait, three waves occurred. Our study describes and compares the clinical presentation and outcomes of critically ill pregnant patients infected with different variants.

This was a retrospective cohort study in two intensive care units (ICU) dedicated to patients with COVID-19. The wave periods were retrieved from the Kuwait Ministry of Health.

The total number of ICU admissions during the study period was 74 patients. Most cases occurred during the third wave (n = 47/74, 63.5%). Most patients did not have comorbidities. The most common presenting symptoms were fever 62.2%, dyspnea 71.6%, and dry cough 74.3%. Low oxygen saturation 35.1% and maternal tachycardia 75.7% were observed in most patients. Cesarean section was the most common route of delivery, with maternal indication accounting for most cases 78.84%. Eight patients (13.69%) underwent dialysis, and thirty-one (41.9%) needed extracorporeal membrane oxygenation. Most patients required ventilatory support 66.21%. Almost all patients were unvaccinated 97.01%. Maternal mortality was mainly noted in the third wave (13.23%).

In Kuwait, the number of admissions and the rate of maternal complications, morbidity, and mortality increased with successive waves.

The effects of SARS-CoV-2 have varied between significant waves of hospitalization.

Are cardiovascular complications different among the first, delta and omicron waves of hospitalized COVID-19 pneumonia patients?

This was a multi-centre retrospective study of patients hospitalized with SARS-CoV-2 pneumonia: 632 were hospitalized during the first wave (March-July 2020), 1013 during the delta wave (September 2020-March 2021), and 323 during the omicron wave (January 2022-July 2022). Patients were stratified by wave and occurrence of cardiovascular events.

Among all hospitalized patients with cardiovascular events, patients in the omicron wave were younger (62.4 ± 14 years) than patients in the first wave (67.4 ± 7.8 years) and the delta wave (66.9 ± 12.6 years) and had a higher proportion of non-Hispanic White people than in the first wave (78.6% vs. 61.7%). For COVID-19 patients who suffered from cardiovascular events, the omicron wave patients had significantly higher neutrophil/lymphocyte ratio, white blood cell and platelet counts when compared to the first wave. Omicron wave patients had significantly lower albumin and B-type natriuretic peptide levels (only 5.8% of the first wave and 14.6% of the delta wave) when compared to either the first wave or delta wave patients. In COVID-19 patients who suffered cardiovascular events during hospitalization, mortality rate in the omicron wave (26.8%) was significantly lower than the first wave (48.3%), time to mortality for non-survivors of COVID-19 patients who suffered cardiovascular events was significantly longer in the omicron wave (median 16 days) than in the first wave (median 10 days).

Younger and white patients were affected with cardiovascular complications more often by the omicron variant. Despite higher neutrophil/lymphocyte ratio and WBC counts, the omicron patients with cardiovascular events showed lower heart injuries, lower mortality and longer time to mortality for non-survivors when compared to the first and delta waves.

The prevalence of gastroesophageal reflux disease (GERD) is expected to increase during the pandemic due to unexpected, sudden lifestyle changes such as decreased physical activity and worsening mental conditions. Here, we aim to explore the difference in the prevalence of GERD and GERD-related quality of life (QoL) in Indonesia during the COVID-19 pandemic compared with before the COVID-19 pandemic.

Retrospective analysis of the Indonesian GERD Questionnaire study, a cross-sectional study utilizing an online form of the GERD Questionnaire, was done to compare the prevalence of GERD between March 2, 2018 to March 1, 2020 (prepandemic group) and March 2, 2020 to March 1, 2022 (pandemic group). The prevalence odds ratios between the 2 groups were calculated using χ 2 .

A total of 9800 participants were included in the analysis; 1807 and 7993 were allocated to the pandemic and prepandemic groups, respectively. The prevalence of GERD in the pandemic and prepandemic groups were 67.9% and 61.8%, respectively (prevalence odds ratio: 1.31; 95% CI: 1.17-1.46).

During the COVID-19 pandemic, the prevalence of GERD, heartburn, and those who reported impaired GERD-related quality of life increased. Regurgitation was the most common symptom reported by participants.

The emergence of SARS-CoV-2 variants led to subsequent waves of COVID-19 worldwide. In many countries, the second wave of COVID-19 was marked by record deaths, raising the concern that variants associated with that wave might be more deadly. Our aim was to compare outcomes of critically-ill patients of the first two waves of COVID-19.

This retrospective cohort included critically-ill patients admitted between March-June 2020 and April-July 2021 in the largest academic hospital in Brazil, which has free-access universal health care system. We compared admission characteristics and hospital outcomes. The main outcome was 60-day survival and we built multivariable Cox model based on a conceptual causal diagram in the format of directed acyclic graph (DAG).

We included 1583 patients (1315 in the first and 268 in the second wave). Patients in the second wave were younger, had lower severity scores, used prone and non-invasive ventilatory support more often, and fewer patients required mechanical ventilation (70% vs 80%, p<0.001), vasopressors (60 vs 74%, p<0.001), and dialysis (22% vs 37%, p<0.001). Survival was higher in the second wave (HR 0.61, 95%CI 0.50-0.76). In the multivariable model, admission during the second wave, adjusted for age, SAPS3 and vaccination, was not associated with survival (aHR 0.85, 95%CI 0.65-1.12).

In this cohort study, patients with COVID-19 admitted to the ICU in the second wave were younger and had better prognostic scores. Adjusted survival was similar in the two waves, contrasting with record number of hospitalizations, daily deaths and health system collapse seen across the country in the second wave. Our findings suggest that the combination of the burden of severe cases and factors such as resource allocation and health disparities may have had an impact in the excess mortality found in many countries in the second wave.

The coronavirus disease (COVID-19) pandemic spares no nation or city, and the virus is responsible for the escalating incidence and mortality worldwide.

This article reviews the impact of "Long Covid" on Children.

A PubMed search was conducted in December 2021 in Clinical Queries using the key terms "COVID-19" OR "long COVID". The search was restricted to children and adolescent aged < 18 years and English literature.

Many large-scale studies have provided strong scientific evidence as to the detrimental and irreversible sequelae of COVID-19 on the health, psychology, and development of affected children. Many insights into managing this disease can be obtained from comparing the management of influenza. COVID-19 is generally a mild respiratory disease in children. Several syndromes, such as multisystem inflammatory syndrome in children (MIS-C) and COVID toe, are probably not specific to SARS-CoV-2. "Long COVID", or the long-term effects of SARS-CoV-2 infection, or the prolonged isolation and containment strategies on education and psychosocial influences on children associated with the pandemic, are significant.

Healthcare providers must be aware of the potential effects of quarantine on children's mental health. More importantly, healthcare providers must appreciate the importance of the decisions and actions made by governments, non-governmental organizations, the community, schools, and parents in reducing the possible effects of this situation. Multifaceted age-specific and developmentally appropriate strategies must be adopted by healthcare authorities to lessen the negative impact of quarantine on the psychological well-being of children.

Salivary shedding of SARS-CoV-2 is a known entity and its role has been established in transmission of the disease. The present study was performed to evaluate the duration of viral shedding in saliva in COVID-19 patients and its variation among symptomatic and asymptomatic patients with or without co-morbidities.

The present prospective observational study was conducted at the COVID-19 care hospital associated with primary to tertiary care in New Delhi, India. A total of 124 COVID-19 confirmed cases enrolled in two phases (January-March 2021; April-June 2021) who consented for 48hrly saliva and nasopharyngeal swab (NPS) specimens till discharge from the hospital for SARS-CoV-2 detection were included. The specimens obtained were tested for SARS-CoV-2 by Real-Time PCR.

The sensitivity and the specificity of RT-PCR on saliva were 81.7 ​% and 85.0 ​%, respectively. The sensitivity of saliva-based PCR was comparable in symptomatic and asymptomatic patients (81.6 ​% vs 82.1 ​%). The sensitivity of saliva-based PCR markedly increased in the second phase of enrollment as compared to the first phase (92.6 ​% vs 78.5 ​%) indicating higher level of salivary shedding by the delta variant of SARS-CoV-2. The sensitivity of PCR on saliva was the highest up to day seven of illness. The median duration of RNA shedding in saliva was comparable among the symptomatic and asymptomatic patients. The severity of the disease was not associated with the duration of SARS-CoV-2 shedding in saliva.

SARS-CoV-2 shedding in saliva continued till seven days in large number of patients including asymptomatic patients. Saliva is non-inferior to NPS specimen in the diagnosis of SARS-CoV-2. Saliva specimen is recommended as a good alternate to NPS for SARS-CoV-2 testing.

Introduction  Some common symptoms of coronavirus disease 2019 (COVID-19) are fever, cough, and shortness of breath. But ear, nose, and throat (ENT) manifestations such as loss of smell and taste are also very common. Objectives  To compare the general and otorhinolaryngological manifestations of COVID-19 and to compare the treatments given and mortality rate during its two waves. Methods  This retrospective study was conducted on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases in a tertiary care teaching hospital. Six hundred patients were included in the 1st wave sample and 516 were in the 2nd wave sample. The data collected included demographics, comorbidities, general, and ENT symptoms, need for ventilatory support, oxygen therapy, and mortality for both the waves. Results  Fever, malaise, and myalgia were more frequently presented in the first wave than in the second, whereas shortness of breath was more common in the second wave. In the second wave, a significant increase in anosmia cases was reported, whereas sore throat, nasal obstruction, dysphagia, nasal discharge, and sneezing were significantly reduced compared with the first wave ( p  < 0.001). The case fatality rate increased from 11.33 to 21.55% ( p  < 0.001) from the 1 st to the 2 nd wave. The patients who died in the second wave were younger than those in the first wave. Two doses of vaccination showed protection from the death over those not vaccinated and those who only received one dose ( p  < 0.05). Conclusion  Ear, nose, and throat (ENT) manifestations are very common along with the general symptoms. As anosmia and dysgeusia are early presenting symptoms in COVID-19 patients, all physicians should screen patients for ENT symptoms.

The COVID-19 pandemic showed distinct waves where cases ebbed and flowed. While each country had slight, nuanced differences, lessons from each wave with country-specific details provides important lessons for prevention, understanding medical outcomes and the role of vaccines. This paper compares key characteristics from the five different COVID-19 waves in Pakistan.

Data was sourced from daily national situation reports (Sitreps) prepared by the National Emergency Operations Centre (NEOC) in Islamabad. We use specific criteria to define COVID-19 waves. The start of each COVID-19 wave is marked by the day of the lowest number of daily cases preceding a sustained increase, while the end is the day with the lowest number of cases following a 7-days decline, which should be lower than the 7 days following it. Key variables such as COVID-19 tests, cases, and deaths with their rates of change to the peak and then to the trough are used to draw descriptive comparisons. Additionally, a linear regression model estimates daily new COVID-19 deaths in Pakistan.

Pakistan saw five distinct waves, each of which displayed the typical topology of a complete infectious disease epidemic. The time from wave-start to peak became progressively shorter, and from wave-peak to trough, progressively longer. Each wave appears to also be getting shorter, except for wave 4, which lasted longer than wave 3. A one percent increase in vaccinations decreased deaths by 0.38% (95% CI: -0.67, -0.08) in wave 5 and the association is statistically significant.

Each wave displayed distinct characteristics that must be interpreted in the context of the level of response and the variant driving the epidemic. Key indicators suggest that COVID-19 preventive measures kept pace with the disease. Waves 1 and 2 were mainly about prevention and learning how to clinically manage patients. Vaccination started late during wave 3 and its impact on hospitalizations and deaths became visible in wave 5. The impact of highly virulent strains Alpha/B.1.1.7 and Delta/B.1.617.2 variants during wave 3 and milder but more infectious Omicron/B.1.1.529 during wave 5 are apparent.

The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process.

Our study analysis the daily change data of the daily COVID-19 infection count in Tokyo from January 16, 2020 to September 30, 2022. We utilized adaptive Fourier decomposition (AFD) for analyzing the temporal trends within COVID-19 data. It extends the conventional AFD approach by constructing new components base on multiple individual components at various time-frequency scales. Furthermore, we conducted Pearson correlation assessments of the first to third-order synthesis results, along with comparative analyses against other signal analysis techniques. Ultimately, these new components are integrated with policy data spanning different time periods for a comprehensive analysis.

The analysis of daily COVID-19 data in Tokyo using AFD reveals how various government policies impacted infection rates across seven distinct fluctuation periods. In the decomposition results, the reduction of business hours policy correlated with high-frequency components in the first four waves, while the low-frequency components for the sixth wave suggested a decline in its relevance. The vaccination policy initially displayed a mid-frequency correlation with the fifth wave and continued with a low-frequency correlation in the last wave. Moreover, our statistical analysis (value of p < 0.05) demonstrated that 75% of the third-order AFD components exhibited significant positive correlations with the original infections, while the correlation coefficients of most components in EMD and VMD did not attain significance.

In the time-frequency domain, AFD demonstrates superior performance compared to EMD and VMD in capturing crucial data related to epidemic control measures. The variations in daily COVID-19 infection counts during these seven periods under various policies are evident in distinct third-order AFD components. These findings guide the formulation of future public health policies and social measures.

In 2020, the COVID-19 pandemic followed a two-wave pattern in most countries. Hospital admission for COVID-19 in one wave or another could have affected mortality, especially among the older persons. The objective of this study was to evaluate whether the admission of older patients during the different waves, before SARS-CoV-2 vaccination was available, was associated with a different mortality. We compared the mortality rates of patients hospitalized during 2020 before (first wave) and after (second wave) July 7, 2020, included in the SEMI-COVID-19 Registry, a large, multicenter, retrospective cohort of patients admitted to 126 Spanish hospitals for COVID-19. A multivariate logistic regression analysis was performed to control for changes in either the patient or disease profile. As of December 26, 2022, 22,494 patients had been included (17,784 from the first wave and 4710 from the second one). Overall mortality was 20.4% in the first wave and 17.2% in the second wave (risk difference (RD) - 3.2%; 95% confidence interval (95% CI) - 4.4 to - 2.0). Only patients aged 70 and older (10,973 patients: 8571 in the first wave and 2386 in the second wave) had a significant reduction in mortality (RD - 7.6%; 95% CI - 9.7 to - 5.5) (unadjusted relative risk reduction: 21.6%). After adjusting for age, comorbidities, variables related to the severity of the disease, and treatment received, admission during the second wave remained a protective factor. In Spain, patients aged 70 years and older admitted during the second wave of the COVID-19 pandemic had a significantly lower risk of mortality, except in severely dependent persons in need of corticosteroid treatment. This effect is independent of patient characteristics, disease severity, or treatment received. This suggests a protective effect of a better standard of care, greater clinical expertise, or a lesser degree of healthcare system overload.

COVID-19 has strained healthcare resources, necessitating efficient prognostication to triage patients effectively. This study quantified COVID-19 risk factors and predicted COVID-19 intensive care unit (ICU) mortality in South Africa based on machine learning algorithms.

Data for this study were obtained from 392 COVID-19 ICU patients enrolled between 26 March 2020 and 10 February 2021. We used an artificial neural network (ANN) and random forest (RF) to predict mortality among ICU patients and a semi-parametric logistic regression with nine covariates, including a grouping variable based on K-means clustering. Further evaluation of the algorithms was performed using sensitivity, accuracy, specificity, and Cohen's K statistics.

From the semi-parametric logistic regression and ANN variable importance, age, gender, cluster, presence of severe symptoms, being on the ventilator, and comorbidities of asthma significantly contributed to ICU death. In particular, the odds of mortality were six times higher among asthmatic patients than non-asthmatic patients. In univariable and multivariate regression, advanced age, PF1 and 2, FiO2, severe symptoms, asthma, oxygen saturation, and cluster 4 were strongly predictive of mortality. The RF model revealed that intubation status, age, cluster, diabetes, and hypertension were the top five significant predictors of mortality. The ANN performed well with an accuracy of 71%, a precision of 83%, an F1 score of 100%, Matthew's correlation coefficient (MCC) score of 100%, and a recall of 88%. In addition, Cohen's k-value of 0.75 verified the most extreme discriminative power of the ANN. In comparison, the RF model provided a 76% recall, an 87% precision, and a 65% MCC.

Based on the findings, we can conclude that both ANN and RF can predict COVID-19 mortality in the ICU with accuracy. The proposed models accurately predict the prognosis of COVID-19 patients after diagnosis. The models can be used to prioritize COVID-19 patients with a high mortality risk in resource-constrained ICUs.

Background COVID-19 has spread as two distinct surges of cases in many countries. Several countries have reported differences in disease severity and mortality in the two waves. Objective Compare the in-hospital mortality in the two COVID-19 waves at a tertiary care hospital in India. Methods We conducted a retrospective data collection. Distinct periods of surges in cases and admissions were defined as the first wave spanning from March 2020 to December 2020 and the second wave from April 2021 to June 21, 2021. The primary outcome of this study was to compare mortality rates in terms of total hospital mortality rate (TMR) and case fatality rate (CFR). Results Mortality rates of wave 2 were approximately 10 times that of wave 1 (TMR of 20.3% in wave 2 versus 2.4% in wave 1 and CFR of 1.5% versus 17.7% in wave 1 and 2, respectively). Mortalities in wave 2 had a larger proportion of severe disease at presentation, faster progression of symptoms to death, and more patients without any chronic comorbid condition dying due to the direct effect of COVID-19 acute respiratory distress syndrome (ARDS). Conclusion Our data matches the worldwide reported pooled hospital mortality figures and shows the comparative difference in disease severity between the two waves.

This study is the first study in which demographic, laboratory data, and outcomes of coronavirus disease-2019 (COVID-19) patients due to the circulating SARS-CoV-2 infections caused by different variants (Alpha, Delta, and Omicron) are compared in Iran.

We conducted a retrospective study of confirmed hospitalized COVID-19 cases from April 9, 2021, to May 22, 2022. Demographic data and laboratory findings were extracted from patients' electronic medical records on the first day of admission to the hospital. All patients were followed up for outcomes related to COVID-19 including intensive care unit (ICU) admission and mortality rate.

Of 760 confirmed hospitalized COVID-19 cases, 362, 298, and 100 represented patients during waves 4-6, respectively. During the Omicron wave, hospitalized patients were older than the other two waves and had a lower median level of C-reactive protein (CRP), alanine transaminase (ALT), aspartate transaminase (AST), and erythrocyte sedimentation rate (ESR). The median length of hospital stay during waves 4-6 was 5 days (interquartile range [IQR]: 4.0-8.0), 7 days (IQR: 6.0-11), and 6 days (IQR: 5.0-9.0), respectively (p < 0.001). The rate of ICU admission during waves 4-6 significantly increased.

Although the Omicron variant caused less severe disease, in older patients who were hospitalized due to Omicron infection, longer hospital and ICU stays were reported, which could be attributed to their old age. In particular, elderly patients are more vulnerable to severe COVID-19; otherwise, as expected, other laboratory parameters and clinical outcomes were in accordance with differences in pathogenicity and infectivity of these variants.

This study aimed to examine the differences in epidemiologic and disease aspects among patients with coronavirus disease-19 (COVID-19).

The authors reviewed the hospital records between April 2020 and September 2021 and followed up on the patients for post-COVID complications.

Older adult patients were predominantly affected during the third wave, and middle-aged patients were predominantly affected during the first and second waves. Men were predominantly admitted, considering the three waves, although more women were admitted in the second wave. Cough was more common in the second and third waves than in the first wave 522 (59.7%). Respiratory distress was the most common in the third wave, 251(67.1%), and least common in the first wave, 403 (46.1%). Anosmia was more common in the third wave 116 (31.2%). In the third wave, patients presenting in a critical state 23 (6.2%) and with severe disease 152 (40.8%) were more common. The hospital admission median (IQR) was longer in the first wave, 12 (8-20), than in other waves. More patients were admitted in the first wave (52%) than in the other waves, and patients received more oxygen in the third wave (75%) than in the other waves. Death occurred more commonly in the first wave (51%) than in the other waves. The positivity rate was higher in the third wave (22.8%) than in the other waves. In the third wave, the positivity rate was higher in women (24.3%) than in men. Post-COVID cough increased in the second wave, and fatigue was higher in the third wave than in the other waves. Tiredness and memory loss were greater during the second wave than in other waves.

The authors found differences in the presentation, outcomes, and hospital epidemiologic trend of COVID-19 among the three waves.

In Italy, the incidence of SARS-CoV-2 infection peaked in April and November 2020, defining two pandemic waves of coronavirus disease 2019 (COVID-19). This study compared the characteristics and outcomes of patients with inflammatory bowel disease (IBD) and SARS-CoV-2 infections between pandemic waves.

Observational longitudinal study of IBD patients with SARS-CoV-2 infection. Patients with established diagnoses of IBD and of SARS-CoV-2 infection were consecutively enrolled in two periods: (i) first wave, from 1 March 2020 to 31 May 2020; and (ii) second wave, from 15 September to 15 December 2020.

We enrolled 937 IBD patients (219 in the first wave, 718 in the second wave). Patients of the first wave were older (mean ± SD: 46.3 ± 16.2 vs. 44.1 ± 15.4 years, p = 0.06), more likely to have ulcerative colitis (58.0% vs. 44.4%, p < 0.001) and comorbidities (48.9% vs. 38.9%; p < 0.01), and more frequently residing in Northern Italy (73.1% vs. 46.0%, p < 0.001) than patients of the second wave. There were no significant differences between pandemic waves in sex (male: 54.3% vs. 53.3%, p = 0.82) or frequency of active IBD (44.3% vs. 39.0%, p = 0.18). The rates of negative outcomes were significantly higher in the first than second wave: pneumonia (27.8% vs. 11.7%, p < 0.001), hospital admission (27.4% vs. 9.7%, p < 0.001), ventilatory support (11.9% vs. 5.4%, p < 0.003) and death (5.5% vs. 1.8%, p < 0.007).

Between the first and second SARS-CoV-2 pandemic waves, demographic, clinical and geographical features of IBD patients were different as were the symptoms and outcomes of infection. These differences are likely due to the different epidemiological situations and diagnostic possibilities between the two waves.

Swine flu (H1N1) and Coronavirus diseases (COVID-19) have been compared in the past few months. Both pandemics sparked a worldwide major panic. Although both have some common symptoms and diagnoses, they are quite different in many aspects. The current study aimed to investigate the differences in clinical and viral behaviors between H1N1 Influenza and COVID-19 pneumonia.

This was a retrospective study of adult patients hospitalized with H1N1 influenza pneumonia between January 2019 and February 2020, and patients hospitalized with COVID-19 during the outbreak. A demographic and clinical characteristic of H1N1 influenza and COVID-19 patients were recorded. Both groups were compared-using an independent samples student t test for continuous variables and a chi-square test for categorical data-to identify significantly different parameters between the 2 diseases.

A total of 78 patients were included and divided into 2 groups: 33 patients (42.3%) with H1N1 and 45 patients (57.7%) with COVID-19. The mean age of the patients was 43.3 ± 10.6 years. Bronchial asthma was significantly higher among patients with H1N1, while diabetes mellitus was significantly higher among patients with COVID-19. Right lower lobe affection was significantly present among those with H1N1 than those with COVID (100% vs 0%). The monocytic count was significantly higher among those with H1N1 than COVID-19 (11.63 ± 1.50 vs 7.76 ± 1.68; P < 0.001). Respiratory rates of more than 22 c/min significantly increased in patients with HINI than in those with COVID-19 (18.2% vs 4.4%; P = 0.05). Mortality increased in patients with HINI than in those with COVID-19 (18.2% vs 6.7%). However, the difference did not reach statistical significance (P = 0.15).

Clinically, it is difficult to distinguish between H1N1 and COVID-19. Thus, a polymerase chain reaction is recommended for all patients suffering from influenza-like symptoms to rule out influenza A subtype H1N1 and/or SARS-CoV2.

Coronavirus disease 2019 (COVID-19) is a worldwide public health concern for healthcare workers. About 80% of cases appear to be asymptomatic, and about 3% may experience hospitalisation and later die. Less than 20% of studies have looked at the positivity rate of asymptomatic individuals.

This study investigated the COVID-19 positivity rates among asymptomatic individuals during the second COVID-19 wave at one of Zambia's largest testing centre.

This was a retrospective cross-sectional study conducted on routine surveillance and laboratory data at the Tropical Diseases Research Centre COVID-19 laboratory in Ndola, Zambia, from 01 December 2020 to 31 March 2021. The study population was made up of persons that had tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection as a requirement for travel. Microsoft Excel was used to come up with an epidemiological curve of daily COVID-19 positive cases; proportions for gender were described using frequencies and percentages.

A total of 11 144 asymptomatic individuals tested for SARS-CoV-2 were sampled for the study and 1781 (16.0%) returned positive results. The median age among those tested was 36 years (interquartile range: 29-46). Testing for COVID-19 peaked in the month of January 2021 (37.4%) and declined in March 2021 (21.0%). The epidemiological curve showed a combination of continuous and propagated point-source transmission.

The positivity rate of 16.0% among asymptomatic individuals was high and could imply continued community transmission, especially during January 2021 and February 2021. We recommend heightened testing for SARS-CoV-2 among asymptomatic individuals.

This study adds critical knowledge to the transmission of COVID-19 among asymptomatic travellers who are usually a key population in driving community infection. This knowledge is critical in instituting evidence-based interventions in the screening and management of travellers, and its control.

The novel coronavirus disease has emerged as the most pressing global health issue. In women with COVID-19 disease, pregnancy confers a substantial additional risk of morbidity and mortality.

This study aimed to assess WHO-recommended COVID-19 prevention practices and determinant factors among pregnant women attending antenatal care during the third wave of COVID-19 in eastern Ethiopia.

An Institutional-based cross-sectional study was conducted among 422 pregnant women attending antenatal care in Harar, from October 10 to November 10, 2021. The sample size was proportionally allocated to all healthcare facilities, then the study participants were selected using systematic random sampling. Descriptive summary statistics were done. Logistic regression analyses were computed to identify associations between dependent and independent variables. Variables with a p-value < 0.05 were declared statistically significant.

Out of 422 pregnant women, 61.6% of them had good WHO Recommended COVID-19 Prevention Practices. Those with age 25-34 years (AOR: 9.7, 95%CI: 4.8, 19.3), age 35-44 years (AOR:4.8, 95%CI: 2.6, 9.03), monthly income > 10,000 ETB (AOR: 9.4, 95%CI: 2.1, 42.1), being a student (AOR: 10, 95%CI: 2.3, 47.1), having a good level of knowledge (AOR: 2.3, 95%CI:1.4, 3.8), and having ≥10 family members (AOR: 0.24, 95%CI: 0.06, 0.9) were found to have a significant association with WHO recommended prevention practice among pregnant women.

Overall, the WHO-recommended COVID-19 prevention practice among pregnant women attending antenatal care was good, but it needs improvement. In order to improve prevention practices among pregnant women, Harari Regional Health Bureau and other stakeholders should provide repeated, targeted, and tailored information to pregnant women and the community at large through different media.

This work aimed to compare the characteristics, progress, and prognosis of patients with COPD hospitalized due to COVID-19 in Spain in the first wave with those of the second wave.

This is an observational study of patients hospitalized in Spain with a diagnosis of COPD included in the SEMI-COVID-19 registry. The medical history, symptoms, analytical and radiological results, treatment, and progress of patients with COPD hospitalized in the first wave (from March to June 2020) versus those hospitalized in the second wave (from July to December 2020) were compared. Factors associated with poor prognosis, defined as all-cause mortality and a composite endpoint that included mortality, high-flow oxygen therapy, mechanical ventilation, and ICU admission, were analyzed.

Of the 21,642 patients in the SEMI-COVID-19 Registry, 6.9% were diagnosed with COPD: 1128 (6.8%) in WAVE1 and 374 (7.7%) in WAVE2 (p = 0.04). WAVE2 patients presented less dry cough, fever and dyspnea, hypoxemia (43% vs 36%, p < 0.05), and radiological condensation (46% vs 31%, p < 0.05) than WAVE1 patients. Mortality was lower in WAVE2 (35% vs 28.6%, p = 0.01). In the total sample, mortality and the composite outcome of poor prognosis were lower among patients who received inhalation therapy.

Patients with COPD admitted to the hospital due to COVID-19 in the second wave had less respiratory failure and less radiological involvement as well as a better prognosis. These patients should receive bronchodilator treatment if there is no contraindication for it.

This work aimed to compare the characteristics, progress, and prognosis of patients with COPD hospitalized due to COVID-19 in Spain in the first wave with those of the second wave.

This is an observational study of patients hospitalized in Spain with a diagnosis of COPD included in the SEMI-COVID-19 registry. The medical history, symptoms, analytical and radiological results, treatment, and progress of patients with COPD hospitalized in the first wave (from March to June 2020) versus those hospitalized in the second wave (from July to December 2020) were compared. Factors associated with poor prognosis, defined as all-cause mortality and a composite endpoint that included mortality, high-flow oxygen therapy, mechanical ventilation, and ICU admission, were analyzed.

Of the 21,642 patients in the SEMI-COVID-19 Registry, 6.9% were diagnosed with COPD: 1,128 (6.8%) in WAVE1 and 374 (7.7%) in WAVE2 (p = 0.04). WAVE2 patients presented less dry cough, fever and dyspnea, hypoxemia (43% vs 36%, p < 0.05), and radiological condensation (46% vs 31%, p < 0.05) than WAVE1 patients. Mortality was lower in WAVE2 (35% vs 28.6%, p = 0.01). In the total sample, mortality and the composite outcome of poor prognosis were lower among patients who received inhalation therapy.

Patients with COPD admitted to the hospital due to COVID-19 in the second wave had less respiratory failure and less radiological involvement as well as a better prognosis. These patients should receive bronchodilator treatment if there is no contraindication for it.

SARS-coronavirus-2 has caused large number of infections globally. The infections have presented in a wave form in most of the countries. There have been differences in the clinical presentation, course, and the outcomes in the different waves.

This study describes the clinical features and course of the patients admitted with COVID-19 illness between the first and second wave of COVID-19 in a tertiary care center in South India.

This was a cross-sectional study where case record analysis of the patients admitted with moderate and severe COVID-19 illness in a tertiary care center in South India was performed. Patients admitted between August 1, 2020, and November 30, 2020, were considered to be affected in the first wave and those admitted between April 30, 2021, and July 30, 2021, were considered to be in the second wave of COVID-19. First wave and second wave periods were determined by a steep surge in infections in India as per the epidemiological data. The symptoms, comorbidities, clinical profile, severity, laboratory parameters, need for assisted ventilation, medications used, and outcome were compared between the two-time frames.

A total of 123 patients' data were analyzed in each wave. 72 (58%) patients had fever, while 64 (52%) patients had fever in COVID second wave. In the first wave, five (4%) patients had diarrhea, and four (3.2%) patients had vomiting, whereas in second wave, 43 (34%) patients had diarrhea, and 25 (20 percent) patients had vomiting (P < 0.001). It was seen in the present study that more number of patients in the age group of 31 to 40 years had more serious illness and adverse outcomes in second wave compared with patients in first wave where age group of 51-60 years was more seriously affected. In COVID first wave, 80 (65.0%) were having moderate COVID-19 illness and 43 (35%) had severe illness. In the second wave, 70 (57%) had moderate illness and 53 (43%) patients had severe illness. In the first wave, 31 patients (25%) required non-invasive ventilation (NIV), whereas 79 patients (64%) required NIV in second wave (P < 0.001). First wave resulted in 12 (9.7%) deaths, whereas second wave resulted in 20 (16.2%) deaths.

The patients with COVID-19 illness in the second wave presented with more non-respiratory symptoms like vomiting, diarrhea, and joint pains. The patients who had severe illness in the second wave were comparatively younger than the patients of the first wave. The requirement of ventilatory support and immunosuppressants was more in the second wave.

We performed a nationwide population-based retrospective study to describe the epidemiology of bacterial co-infections in coronavirus disease 2019 (COVID-19)-hospitalized patients in Spain in 2020. We also analyzed the risk factors for co-infection, the etiology and the impact in the outcome.

Data were obtained from records in the Minimum Basic Data Set (MBDS) of the National Surveillance System for Hospital Data in Spain, provided by the Ministry of Health and annually published with 2 years lag. COVID-19 circulated in two waves in 2020: from its introduction to 31st June and from 1st July to 31st December. The risk of developing a healthcare-associated bacterial co-infection and the risk for in-hospital and intensive care unit (ICU) mortality in co-infected patients was assessed using an adjusted logistic regression model.

The incidence of bacterial co-infection in COVID-19 hospitalized patients was 2.3%. The main risk factors associated with bacterial co-infection were organ failure, obesity and male sex. Co-infection was associated with worse outcomes including higher in-hospital, in-ICU mortality and higher length of stay. Gram-negative bacteria caused most infections. Causative agents were similar between waves, although higher co-infections with Pseudomonas spp. were detected in the first wave and with Haemophilus influenzae and Streptococcus pneumoniae in the second.

Co-infections are not as common as those found in other viral respiratory infections; therefore, antibiotics should be used carefully. Screening for actual co-infection to prescribe antibiotic therapy when required should be performed.

COVID-19 spreads between people in close contact. Social isolation, which is linked with increased suicide risk, prevents COVID-19 from spreading. Suicide and COVID-19 may therefore represent two antagonistic phenomena. Specifically, we tested whether previous cross-national suicide rates inversely correlate with COVID-19 cases and deaths across countries.

We ran unadjusted bivariate correlations between the most updated (2016) cross-national Age-Standardised suicide rates and COVID-19 cumulative cases and deaths (as of: 30/08/2020, 11/10/2020 and 30/05/2021) across countries; and we controlled for WHO Income group, WHO region, suicide data quality, and urbanicity.

Suicide rates negatively correlated with COVID-19 cumulative cases up to 30/08/2020 (r=-0.14, P=.064) and up to 11/10/2020 at an almost significant level (r=-0.149, P=.050) across 174 countries. As of 11/10/2020 this correlation became significant when controlling for WHO region (r=-0.17, P=.028), data quality (r=-0.181, P=.017) and urbanicity (r=-0.172, P=.039); and as of 30/08/2020 when adjusting for WHO region (r=-0.15, P=.047) and data quality a (r=-0.16, P=.036). No significant correlations between suicide rates and COVID-19 deaths were found.

There seems to be an inverse correlation between previous cross-national suicide rates and COVID-19 cumulative cases across countries. Suicide and COVID-19 appear to behave, to some degree, as antagonistic phenomena, which challenges their prevention.

US racial and ethnic minorities have well-established elevated rates of comorbidities, which, compounded with healthcare access inequity, often lead to worse health outcomes. In the current COVID-19 pandemic, it is important to understand existing disparities in minority groups' critical care outcomes and mechanisms behind these-topics that have yet to be well-explored.

Assess for disparities in racial and ethnic minority groups' COVID-19 critical care outcomes.

Retrospective cohort study.

A total of 2125 adult patients who tested positive for COVID-19 via RT-PCR between March and December 2020 and required ICU admission at the Cleveland Clinic Hospital Systems were included.

Primary outcomes were mortality and hospital length of stay. Cohort-wide analysis and subgroup analyses by pandemic wave were performed. Multivariable logistic regression models were built to study the associations between mortality and covariates.

While crude mortality was increased in White as compared to Black patients (37.5% vs. 30.5%, respectively; p = 0.002), no significant differences were appraised after adjustment or across pandemic waves. Although median hospital length of stay was comparable between these groups, ICU stay was significantly different (4.4 vs. 3.4, p = 0.003). Mortality and median hospital and ICU length of stay did not differ significantly between Hispanic and non-Hispanic patients. Neither race nor ethnicity was associated with mortality due to COVID-19, although APACHE score, CKD, malignant neoplasms, antibiotic use, vasopressor requirement, and age were.

We found no significant differences in mortality or hospital length of stay between different races and ethnicities. In a pandemic-influenced critical care setting that operated outside conditions of ICU strain and implemented standardized protocol enabling equitable resource distribution, disparities in outcomes often seen among racial and ethnic minority groups were successfully mitigated.

Pregnancy is a physiological state that predisposes women to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, a disease that can cause adverse maternal and perinatal outcomes. The severity of coronavirus disease 2019 (COVID-19) disease is known to vary by viral strain; however, evidence for the effects of this virus in pregnant women has yet to be fully elucidated. In this review, we describe maternal and perinatal outcomes, vaccination, and vertical transmission, among pregnant women infected with the different SARS-CoV-2 variants identified to date. We also summarize existing evidence for maternal and perinatal outcomes in pregnant women with specific information relating to SARS-CoV-2 variants. Our analysis showed that Omicron infection was associated with fewer severe maternal and perinatal adverse outcomes while the Delta variant was associated with worse pregnancy outcomes. Maternal deaths arising from COVID-19 were found to be rare (<1.0%), irrespective of whether the virus was a wild-type strain or a variant. Severe maternal morbidity was more frequent for the Delta variant (10.3%), followed by the Alpha (4.7%), wild-type (4.5%), and Omicron (2.9%) variants. The rates of stillbirth were 0.8%, 4.1%, 3.1%, and 2.3%, respectively, in pregnancies infected with the wild-type strain, Alpha, Delta, and Omicron variants, respectively. Preterm birth and admission to neonatal intensive care units were more common for cases with the Delta infection (19.0% and 18.62%, respectively), while risks were similar for those infected with the wild-type (14.7% and 11.2%, respectively), Alpha (14.9% and 13.1%), and Omicron variants (13.2% and 13.8%, respectively). As COVID-19 remains a global pandemic, and new SARS-CoV-2 variants continue to emerge, research relating to the specific impact of new variants on pregnant women needs to be expanded.

To expand our limited knowledge of COVID-19-related outcomes in patients admitted to inner-city intensive care unit (ICU across multiple infection waves. This retrospective study compared patients admitted to the ICU in Bronx, NY, during 3 COVID-19 waves (March 2020 to February 2022). Outcomes included in hospital mortality, length of stay (LOS), use of mechanical ventilation, and discharge disposition. The study included 716 patients (343, 276, and 97 in the first, second, and third COVID-19 waves, respectively). The number of days on mechanical ventilation and LOS were lower in the first wave. Of the 345 discharged patients, 37% went home directly, whereas 11% were discharged to a skill nursing facility. More patients went home during the second and third waves. Mortality decreased from the first to the third waves (57%-37%; P < .001). Predictors of mortality included age, male gender, COPD, shock, acute kidney injury (AKI), dialysis requirement, and mechanical ventilation. The decreased mortality and better discharge disposition of these inner-city patients during the second and third waves is encouraging, as this population historically had a high COVID-19-related mortality risk.