Temporal trends of sex differences for COVID-19 infection, hospitalisation, severe disease, intensive care unit (ICU) admission and death: a meta-analysis of 229 studies covering over 10M patients

Sex and other predictors of mortality in long-term follow-up of patients with cardiovascular disease and COVID-19: a single-center retrospective study

Male sex is a well-known predictor of short-term prognosis in patients with coronavirus disease (COVID-19). Data, however, on long-term outcomes are scarce. We aimed to assess the differences in mortality between sexes and find other important predictors of survival from a long-term perspective. Data from all patients retrieved from a database of COVID-19 patients hospitalized at University Hospital in Krakow, Poland, between February 13, 2020, and May 10, 2021, were analyzed for clinical in-hospital data and after a 42 months follow-up period. Of the 4071 COVID-19 patients hospitalized, 2183 were men (53.6%). Males were on average younger and more likely to have concomitant chronic obstructive pulmonary disease, heart failure, coronary artery disease (including acute and chronic coronary syndrome) compared to women. In terms of laboratory findings, more advanced inflammatory markers and troponin I were predominantly observed in male patients than in female patients. Males were found to have a greater predisposition for relevant cardiovascular comorbidities and were more likely to have died during the 42 months follow-up. Additionally, higher levels of troponin I, N-terminal pro B-type natriuretic peptide and D-dimer were associated with a greater risk of death. Kaplan-Meier survival analyses revealed a worse 42 months survival for men up to the age of 65 years. Cardiovascular comorbidities, male sex and older age, as well as higher concentrations of markers indicating a thrombotic state and myocardial injury, were associated with poorer long-term prognosis in patients with COVID-19.

Revealing COVID-19 breakthrough infection rates among vaccinated individuals at a tertiary care centre in South India

Background and Objectives

The COVID-19 pandemic was mitigated by the rapid development and deployment of vaccines. While vaccines reduce infection severity, breakthrough infections (BTIs) still occur. The CDC defines BTI as a positive SARS-CoV-2 test ≥14 days post-vaccination. This study investigates the occurrence of COVID-19 BTIs at a tertiary care hospital in Puducherry, South India.

Materials and Methods

This retrospective study analysed hospital tested qRT-PCR data of individuals from the ICMR portal (March 2021-March 2022). Demographic and vaccination details were extracted.

Results

Among 8001 tested individuals, 1452 were vaccinated. The BTI rate decreased from 16.6% to 1.2% after the first dose and from 58% to 40% after the second one. Odds ratio indicated a 74% reduction in infection risk for vaccinated individuals compared to unvaccinated. Males had higher infection rates than females, regardless of vaccination status.

Conclusion

Our study demonstrates a higher BTI rate after one vaccine dose compared to two doses. The BTI rate also increased four months post-vaccination, even with two doses, potentially due to waning immunity and the emergence of new variants. Therefore, continued adherence to preventive measures in conjunction with vaccination is crucial for minimizing COVID-19 transmission.

Short-term acute outcomes by clinical and socioeconomic characteristics in adults with SARS-CoV-2: a population-based cohort study focused on the first two years of the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic disproportionately affected vulnerable populations in terms of comorbidity and socioeconomic disadvantage, both between and within countries. This retrospective population-based cohort study is part of the Horizon 2020 ORCHESTRA project, was conducted in the Emilia-Romagna (E-R) Region, and aimed to investigate the risk of hospitalization, disease severity and all-cause mortality during the 30 days following SARS-CoV-2 infection.

METHODS

All adult positive cases notified in E-R from 2020 to 2022 were included. Poisson regression with robust standard error was used to estimate risk ratios for the three outcomes, stratified by sex, pandemic period and adjusted for age, citizenship, deprivation index, risk of hospitalization and death score (RHDS), and vaccination status. Data sources were regional healthcare databases. Supplementary analyses considered citizenship in relation to duration of residency in E-R or aggregated in areas of origin.

RESULTS

During the first two years of the pandemic 859,653 E-R residents tested positive for SARS-CoV-2 (47.8% males); 9.6% of them were citizens from high migratory pressure countries (HMPCs). The risk of severe outcomes increased steeply with age, especially in males. RHDS predicted worse outcomes in both sexes while vaccination showed a strong protective effect against all outcomes of acute infection (i.e., recent vaccination was 85% more protective against in-hospital severe disease in both sexes). Immigrants from HPMCs, especially females, showed a higher risk of hospitalization and in-hospital severe disease, in particular those who arrived within 5 years ago from the infection (RR for hospitalization = 1.92, 95%CI = 1.76-2.00 for males, and RR = 2.40, 95%CI = 2.23-2.59 for females), whereas the risk of all-cause mortality was lower compared to residents from low migratory pressure countries (LMPCs) that showed a RR for females of 0.73 (95%CI = 0.59-0.90).

CONCLUSIONS

The results provided an overall view of course of acute COVID-19 outcomes in E-R and allowed the risk associated with clinical, demographic, and social characteristics to be measured. The findings suggest that, although national and regional public health policies have helped to mitigate the impact of the pandemic in the general population, inequalities in outcomes among persons with comorbidities and social disadvantages remain. Improvements in the appropriateness, effectiveness and equity of public health strategies are needed.

Glycemic Control Status After Six Months in Post-COVID-19 Patients

Background Despite being typically a viral respiratory disease, COVID-19 has harmful effects that go beyond the respiratory system. The endocrine system is particularly susceptible to damage due to the high expression of angiotensin-converting enzyme-2 receptors. This study evaluates glycemic status in survivors of COVID-19. Methodology In this prospective, observational study, 96 individuals were enrolled from the COVID-19 unit of Bangabandhu Sheikh Mujib Medical University (BSMMU). Mild and moderate COVID-19 patients were classified as non-severe, whereas severe and critical cases were classified as severe, following the WHO disease severity classification. Follow-ups were conducted at the post-COVID-19 clinic at BSMMU one and six months after diagnosis. Blood samples for fasting blood sugar and glycated hemoglobin measurements were collected within 24 hours of initial diagnosis and during each follow-up at the first and sixth months. Results Of the 96 participants, the non-severe and severe groups consisted of 49 (51%) and 47 (49%) participants, respectively. Among the participants, 62 (63.9%) were men, the mean age was 54.2 (15.9) years, and hypertension was the most common comorbidity (37, 38.5%). After six months, 12 new cases of diabetes (15.4%) were observed, with a male predominance (10, 62%). After adjusting for potential confounders, we found that severe COVID-19 was substantially linked to a higher risk of diabetes at six months (odds ratio = 5.5, 95% confidence interval, 1.1-27.7, p = 0.03). Conclusions The study findings showed a significant association between a higher frequency of diabetes and severe COVID-19.

The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19

Coronavirus disease 2019 (COVID-19) is a respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that displays great variability in clinical phenotype. Many factors have been described to be correlated with its severity, and microbiota could play a key role in the infection, progression, and outcome of the disease. SARS-CoV-2 infection has been associated with nasopharyngeal and gut dysbiosis and higher abundance of opportunistic pathogens. To identify new prognostic markers for the disease, a multicentre prospective observational cohort study was carried out in COVID-19 patients divided into three cohorts based on symptomatology: mild (n = 24), moderate (n = 51), and severe/critical (n = 31). Faecal and nasopharyngeal samples were taken, and the microbiota was analysed. Linear discriminant analysis identified Mycoplasma salivarium, Prevotella dentalis, and Haemophilus parainfluenzae as biomarkers of severe COVID-19 in nasopharyngeal microbiota, while Prevotella bivia and Prevotella timonensis were defined in faecal microbiota. Additionally, a connection between faecal and nasopharyngeal microbiota was identified, with a significant ratio between P. timonensis (faeces) and P. dentalis and M. salivarium (nasopharyngeal) abundances found in critically ill patients. This ratio could serve as a novel prognostic tool for identifying severe COVID-19 cases.

Predictors of severity of SARS-CoV-2 infections in Brazil: Post hoc analyses of a randomised controlled trial

OBJECTIVES

To identify demographic, clinical and immunological factors associated with adverse COVID-19 outcomes.

METHODS

A large randomised controlled trial of ChAdOx1 nCoV-19 was undertaken in Brazil. Participants were randomised 1:1 either to receive ChAdOx1 nCov-19 or to a control group. COVID-19 infections were confirmed by nucleic acid amplification test (NAAT) and classified using the WHO clinical progression scale. Anti-spike antibody responses and serum neutralising activity were measured 28 days after second vaccination in some participants. Exploratory analyses were conducted into factors associated with COVID-19 infection severity and hospitalisation, using logistic regression models adjusted for demographic and clinical factors.

RESULTS

10,416 participants were enrolled; 1790 had NAAT-positive COVID-19 infection; 63 cases required hospitalisation. More severe infection was associated with greater body-mass index (BMI) (odds ratio [OR] = 1.06 [95 %CI: 1.01-1.10], p = 0.01) and diabetes (OR = 3.67 [1.59-8.07], p = 0.003). Hospitalisation risk increased with greater age (OR = 1.06 [1.03-1.08], p < 0.001) and BMI (OR = 1.10 [1.05-1.16], p < 0.001). More severe infection and hospitalisation risks increased >180 days after last vaccination. In the fully vaccinated subgroup (n = 841), only greater age predicted hospitalisation (OR = 1.07 [1.03-1.12], p < 0.001). Serological responses to two vaccine doses diminished with age.

CONCLUSIONS

Unvaccinated individuals with high BMI and diabetes risked more severe COVID-19 outcomes. Vaccination mitigated this risk.

CLINICAL TRIAL REGISTRATION NUMBER

NCT04536051.

Sex differences in the outcome of critically Ill patients with COVID-19 - An international multicenter critical care consortium study

BACKGROUND

Sex differences in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) susceptibility, illness severity, and hospital course are widely acknowledged. The effects of sex on outcomes experienced by patients with severe Coronavirus Disease 2019 (COVID-19) admitted to the intensive care unit (ICU) remains unknown.

OBJECTIVES

To determine the effects of sex on ICU mortality in patients with COVID-19 METHODS: This retrospective analysis of an international multi-center prospective observational database included adults admitted to ICU for treatment of acute COVID-19 between 1st January 2020 and 30th June 2022. The primary outcome was ICU mortality. Multivariable Cox regression was used to ascertain the hazard of death (Hazard Ratio=HR) adjusted for pre-selected covariates. The secondary outcome was sex differences in complications of COVID-19 during hospital stay.

RESULTS

Overall, 10,259 patients (3,314 females, 6,945 males) were included with a median age of 60 (interquartile range [IQR]=49-68) and 59 (IQR=49-67) years, respectively. Baseline characteristics were similar between sexes. More females were non-smokers (65% vs. 44 %, p < 0.01) and obese (39% vs. 30 %, p < 0.01), compared to males. Also, males received greater ICU intervention (mechanical ventilation, prone ventilation, vasopressors, and tracheostomy) than females. Males had a greater hazard of death (compared to females, HR=1.14; 95 % CI=1.02-1.26). Adjustment for complications during hospital stay did not alter the hazard of death (HR=1.16; 95 % CI=1.05-1.28). Males had a significantly elevated hazard of death among patients who received ECMO (HR=1.24; 95 % CI=1.01-1.53). Male sex was associated with cardiac arrest (adjusted OR [aOR]=1.37; 95 % CI=1.16-1.62) and PE (aOR=1.28; 95 % CI=1.06-1.55).

CONCLUSION

Among patients admitted to ICU for severe COVID-19, males experienced higher severity of illness and more frequent intervention than females. Ultimately, the hazard of death was moderately elevated in males compared to females despite greater PE and cardiac arrest.

Outcomes of COVID-19 and Influenza in Cerebral Palsy Patients Hospitalized in the United States: Comparative Study of a Nationwide Database

Patients with cerebral palsy (CP) are particularly vulnerable to respiratory infections, yet comparative outcomes between COVID-19 and influenza in this population remain underexplored. Using the National Inpatient Sample from 2020-2021, we performed a retrospective analysis of hospital data for adults with CP diagnosed with either COVID-19 or influenza. The study aimed to compare the outcomes of these infections to provide insights into their impact on this vulnerable population. We assessed in-hospital mortality, complications, length of stay (LOS), hospitalization costs, and discharge dispositions. Multivariable logistic regression and propensity score matching were used to adjust for confounders, enhancing the analytical rigor of our study. The study cohort comprised 12,025 patients-10,560 with COVID-19 and 1465 with influenza. COVID-19 patients with CP had a higher in-hospital mortality rate (10.8% vs. 3.1%, p = 0.001), with an adjusted odds ratio of 3.2 (95% CI: 1.6-6.4). They also experienced an extended LOS by an average of 2.7 days. COVID-19 substantially increases the health burden for hospitalized CP patients compared to influenza, as evidenced by higher mortality rates, longer hospital stays, and increased costs. These findings highlight the urgent need for tailored strategies to effectively manage and reduce the impact of COVID-19 on this high-risk group.

Cerebellitis following COVID-19 infection: A case-based systematic review and pooled analysis

Background

The COVID-19 pandemic has been linked to neurological complications, including Cerebellitis. This study aims to investigate the clinical features, and consequences of Cerebellitis following COVID-19 infection, informing medical management strategies.

Methods

A systematic search was conducted through PubMed, Web of Science, Embase, ProQuest, and Cochrane databases from January 2018 to September 12, 2023, on cases post-COVID-19. Demographics, clinical characteristics, and diagnostic techniques were analyzed using descriptive statistics. Chi-Square tests assessed associations between diagnoses and treatments, with visualizations including heatmaps and scatter plots.

Results

After the final Screening, the analysis of 18 cases revealed Cerebellitis post-COVID-19 spanned 9 countries, predominantly from the USA (27.8 %), with a mean patient age of 40.1 years (±24.6). Males comprised 94.4 % of cases. Common underlying conditions included hypertension (22.2 %) and diabetes (11.1 %). Neurological symptoms presented on average 15.15 ± 12.7 days post-COVID-19 infection. A moderate negative correlation (r = -0.358) was observed between age and symptom onset. Blood and CSF biomarkers showed weak correlations with symptom onset intervals. Treatment efficacy varied, with most cases achieving symptom-free outcomes. The Chi-Square test for diagnosis-treatment associations yielded a p-value of 0.089, and for follow-up outcomes, a p-value of 0.283, indicating no significant statistical associations.

Conclusion

This systematic review highlights increased reports of Cerebellitis in males in their fourth decade of life, with the highest comorbidities being vascular diseases. Marker assessments show a decrease in CSF protein in half of patients, along with complete recovery following combination treatment with antivirals and steroids in acute Cerebellitis.

COVID-19 pandemic in Taiz Governorate, Yemen, between 2020 and 2023

BACKGROUND

The coronavirus disease 2019 (COVID-19) is highly contagious and causes a series of health problems, particularly in Yemen, which has a fragile healthcare system and cannot handle public health emergencies.

AIMS

This analysis aimed to determine the epidemiological status of COVID-19 in the Taiz governorate between April 2020 and December 2023.

METHODS

A retrospective study based on surveillance data from the Taiz governorate was used. The required data were gathered from the Ministry of Health and Population in Aden and analyzed using SPSS.

RESULTS

Out of 5826 suspected of COVID-19 cases, 1933 (33.18%) cases were positive for COVID-19 infection. The high rates of COVID-19 cases were reported at 35.40% in males, 37.80% in people aged 35-44 years, 47.20% in 2020, 72.73% in Dhubab district, and 27.78% in March 2021. The overall incidence rate of cases was reported at 6.2 per 10,000 people in Taiz governorate (8.85 in males and 3.80 in females). In addition, the high incidence rate of COVID-19 was observed among age groups ≥ 65 years, in 2021, and in Al-Mukha districts. In total, the rate of fatality cases was 14.12%, the higher rate of fatality cases was 15.46% among males and 32.23% among individuals aged ≥ 65 years, and 26.97% in 2020.

CONCLUSION

In this finding, the incidence rate of COVID-19 is high. It is necessary to increase the public's awareness of the transmission and prevention methods of COVID-19, as well as implement appropriate strategies to protect populations from infectious diseases.

Asymptomatic Children as a Missing Link in Preventing COVID-19 Transmission

BACKGROUND

Investigating the prevalence of the coronavirus disease 2019 (COVID-19) infection in asymptomatic children who have been in close contact with symptomatic individuals is instrumental for refining public health approaches, protecting vulnerable populations, and mitigating the broader impact of the pandemic. Accordingly, this study aimed to evaluate the incidence of COVID-19 infection in asymptomatic children who had been in close contact with parents exhibiting COVID-19 symptoms. Study Design: A cross-sectional study.

METHODS

The present cross-sectional study was conducted on 175 asymptomatic children who had been in close contact with COVID-19 confirmed cases in Hamadan County from March 2021 to August 2021. Reverse transcription polymerase chain reaction (RT-PCR) testing was performed on all asymptomatic children who had been in close contact with an individual with COVID-19. Furthermore, multiple logistic regressions were conducted to determine the predictors of COVID-19 transmission from family members to children.

RESULTS

Out of the 175 children in close contact with index cases, 53 (30.29%) tested positive for COVID-19 through PCR. Regarding factors related to the index case, male cases (Adjusted odds ratio [AOR]=2.29; 95% confidence interval [CI]: 1.03-5.09, P=0.041), rural dwellers (AOR=3.22; 95% CI: 1.02-10.16, P=0.046), illiterate cases (AOR=8.45; 95% CI: 1.76-40.65, P=0.008), and cases presenting with nasal congestion symptoms (AOR=9.12; 95% CI: 2.22-37.40, P=0.002) were more prone to transmitting the virus to children who had close contact with them.

CONCLUSION

The findings of the present study suggested that asymptomatic COVID-19 infection in household contacts is significant in children who were in close contact with a COVID-19-positive patient. Therefore, it is crucial to continue to monitor this group closely.

Evolution of COVID-19 infection in Punjab; trends during five waves of infection in the province of Punjab

BACKGROUND

Pakistan witnessed five waves of COVID-19 infections during the pandemic. Punjab, the largest province of Pakistan, remained the epicentre due to a high infection rate. Administrative data for five waves of the pandemic was analyzed to determine the rate of infections and the significance of pharmacological and non-pharmacological interventions on the severity and duration of infection.

METHODOLOGY

COVID-19 data from March 2020 to May 2023 was obtained from the Provincial Public Health Reference Laboratory (PPHRL), Punjab AIDS Control Program, Lahore. The data included samples from index cases, contacts, and recovered patients. A total of 36,252,48 cases were screened for COVID-19, and 90,923 (2.50%) were detected positive by RT-PCR, accounting for 5.69% of the cases reported positive throughout the country.

RESULTS

Among the positive cases, 50.86% (n = 46,244) cases were new cases (registered for the first time), 40.41% (n = 36751) were the contact cases traced from the newly identified cases and 8.62% (n = 7842) repeated cases. The positivity rates among index cases were reported to be 2.37%, 2.34%, 4.61%, 2.09%, and 1.19%, respectively, for the five respective COVID-19 pandemic waves. Distribution by gender indicated that 64% of males and 35% of females were infected during the pandemic. The age factor demonstrated the most susceptibility to infection in women aged 19-29 years, whereas most males between the ages of 29-39 had an infection. Susceptibility to COVID-19 infection was observed to be equally likely between males and females; however, clinical outcomes indicated that infections in males were more severe and often resulted in fatalities as compared to those in females. This trend was also reflected in the viral titer as measured by the Ct values, where 40% of males had Ct values < 25 (an indicator of high viral titers) compared to 30% of females with Ct values < 25.

CONCLUSION

Overall, our data indicated that infection rates remained stable throughout the pandemic except for 3rd wave, which showed a higher incidence of infection rate of 4%. Additionally, data showed a positive impact of masking, social distancing, and immunization, as indicated by the shorter window of high infection rates.

COVID-19-associated mortality in individuals with serious mental disorders in Sweden during the first two years of the pandemic- a population-based register study

BACKGROUND

Reports at the beginning of the COVID-19 pandemic suggested differences in COVID-19-associated mortality between individuals with serious mental disorders (SMD) and the population at large.

AIM

To compare the pattern of COVID-19-associated mortality in individuals with and without SMD in Sweden over the two main pandemic years.

METHODS

We compared the pattern of COVID-19-associated mortality in individuals with and without SMD in Sweden during 2020 and 2021. For SMD, we included psychotic disorder, bipolar disorder, and severe depression. The analysis was based on summary data from the Swedish Board of Health and Welfare covering the entire adult Swedish population.

RESULTS

The overall relative risk (RR) for experiencing a COVID-19-associated death was 1.66 (CI 1.50-1.83; p < 0.001) for individuals with SMD versus individuals without SMD. The corresponding RRs were 3.25 (CI 2.84-3.71; p < 0.001) for individuals with psychotic disorder, 1.06 (CI 0.88-1.26; p = 0.54) for individuals with bipolar disorder, and 1.03 (CI 0.80-1.32; p = 0.80) for individuals with severe depression. Compared to their respective counterparts in the non-SMD group, in the psychotic disorder and severe depression group, the RR were higher in women than in men. In the bipolar disorder group, the RR was higher in men than in women. The RR of COVID-19-associated death was generally higher in younger individuals with SMD. Individuals with psychosis between 18 and 59 years had the highest RR of COVID-19-associated death with 7.25 (CI 4.54-11.59; p<0.001).

CONCLUSIONS

Individuals with SMD, and particularly those with psychotic disorders, had a higher risk of COVID-19-associated death than the general population. As this is a pattern also seen with other infections, people with SMD may be similarly vulnerable in future pandemics.

Characteristics of adults who reported not having had COVID-19 in Spain after the first two years of the pandemic and associated factors

BACKGROUND

There is little evidence regarding the characteristics of adults who self-reported not having had COVID-19 after two years of the pandemic. This study aimed to analyse the characteristics of no-COVID-19 respondents and the associated factors to better understand which may have conditioned not having had the disease as guidance to help in the design of better public health strategies.

METHODS

This cross-sectional, observational study was conducted in the Spanish general population in a representative sample of 1051 adults who completed an online survey in September 2022. Multivariable logistic regression was performed to assess which factors were related to reporting not having had COVID-19.

RESULTS

Almost half of the respondents (47.8%) reported not having ever had COVID-19. Significant differences were found between people who reported having had and not having had COVID-19 according to sex, age, education level, employment and living with children. No-COVID-19 respondents had greater concern and less fear of the disease and were more worried about the new variants. After the multivariable analysis, factors associated with no-COVID-19 respondents were male sex (OR)=1.40; 95% (CI=1.07-1.82), older age (OR=1.01; 95% CI=1.01-1.03), having a greater perception of disease severity if infected (OR=4.71; 95% CI=2.97-7.47), greater adherence to preventive measures (OR=1.02; 95% CI=1.01-1.03), and having received a complete vaccination schedule and booster dose (OR=1.56; 95% CI=1.03-2.36).

CONCLUSIONS

Analysing the characteristics of people reporting not having had COVID-19 can support public health decision-makers in designing better interventions and facilitating the implementation of effective prevention and control measures to prepare for and respond to a possible future pandemic.

[Response to the COVID-19 Health Crisis from a Gender Perspective: Lessons Learned]

OBJECTIVE

To delve deeper from a gender perspective into the lessons learned during the COVID-19 pandemic to address future health crises.

METHOD

Study with key informants with experience in public health and gender from the Ministerio de Sanidad, ministries of the autonomous communities, Institut Català de la Salut, Hospital de La Princesa, Escuela Andaluza de Salud Pública and Universidad País Vasco.

SOURCE OF INFORMATION

individual open-ended questionnaire on health and health inequalities/gender inequalities related to COVID-19. After presenting the findings, the key informants group discussed them in a meeting until reaching a consensus on the lessons learned.

RESULTS

The lack of clinical statistics by sex could compromise epidemiological surveillance, losing the opportunity to characterize the disease. The performance of essential services fell more on women, exhausting them with double and triple shifts; with the differences according to sex in the clinical presentation of COVID-19, and the criteria for hospitalization/admission to the intensive care unit, their access to health care decreased. Increased: gender violence and mental health problems; delaying recognition of the second effects of vaccines in women; partially due to information biases in clinical trials. The gender perspective was lacking in academic, healthcare, and health management areas.

CONCLUSIONS

Women's gender dimensions determined their higher frequency of COVID-19 and played a fundamental role in its control. Broadly considering the lessons learned will strengthen prevention systems and be able to provide effective responses to future health crises.

TYK2, IFITM3, IFNAR2 and OAS3 single-nucleotide polymorphisms among severe COVID-19 ICU patients in Morocco

OBJECTIVES

This study aimed to explore the potential correlation between specific single nucleotide polymorphisms (TYK2, IFITM3, IFNAR2, and OAS3 variants) and the severity of COVID-19 in Moroccan patients.

METHODS

A genetic analysis was conducted on 109 patients with PCR-confirmed SARS-CoV-2 infection in Morocco. Among these patients, 46% were hospitalized in the intensive care unit, while 59% were not hospitalized. Importantly, all patients lacked known risk factors associated with COVID-19 severity. Genotyping was performed to identify variations in TYK2 rs74956615, IFITM3 rs12252, IFNAR2 rs2236757, and OAS3 rs10735079. Statistical analysis was applied using codominant, dominant and recessive logistic regression models to assess correlations with COVID-19 severity.

RESULTS

Our findings revealed no significant correlation between TYK2 rs74956615, IFITM3 rs12252, IFNAR2 rs2236757, and OAS3 rs10735079 with COVID-19 severity in Moroccan patients, as indicated in logistic regression models (p > .05). Interestingly, these results may offer insights into the mitigated impact of the COVID-19 pandemic and the reduced severity observed in SARS-CoV-2 infected patients in Morocco. Age, however, exhibited a significant correlation with severity (p < .001), with a trend towards increased likelihood of ICU admission with advancing age. Additionally, In the severe group, a higher proportion of patients were females (54%), indicating a statistically significant correlation with disease severity (p = .04). Nevertheless, female ICU patients aged above 60 years accounted for 37%, compared to 17% for males.

CONCLUSION

This study underscores the absence of a genetic association between the selected polymorphisms and COVID-19 severity in Moroccan patients. Advanced age emerges as the primary factor influencing the severity of COVID-19 patients without comorbidities. We recommend setting the threshold for advanced age at 60 years as a risk factor for severe forms of COVID-19.

Epidemiological Characteristics of COVID-19 during Seven Consecutive Epidemiological Waves (2020-2022) in the North Bačka District, Serbia

The COVID-19 pandemic continues to pose a threat to global public health. The purpose of this research was to determine the epidemiological characteristics of COVID-19 in the North Bačka district while observing seven pandemic waves. The cross-sectional study was based on data from the COVID-19 surveillance database of the Institute for Public Health of Vojvodina during the period from March 2020 to December 2022. A total of 38,685 primary infections and 4067 reinfections caused by SARS-CoV-2 were notified. Pandemic waves caused by the Delta variant (cumulative incidence rate of 2482.37/100,000) and by the Omicron variant (cumulative incidence rate of 2994.45/100,000) emerged as significant focal points during the surveillance period. Over the course of three consecutive years (2020-2022), women were more affected (50.11%, 54.03%, and 55.68%, respectively). The highest incidence rates in age-specific categories were recorded in 2021 for the age group 40-49 (1345.32 per 10,000 inhabitants), while in 2022, they shifted towards the elderly population. Regarding vaccination status at the time of diagnosis, in 2021, around 15% of patients were vaccinated, while in 2022, the number increased to 37%. The most widely received vaccine was BBIBP-CorV (67.45%), followed by BNT162b2 (19.81%), Gam-COVID-Vac (9.31%), and ChAdOx1 nCoV-19 (3.42%) vaccine. The implementation of stringent public health measures and their mitigation, together with the emergence of new variants, influenced the dynamics of COVID-19 pandemic waves in the North Bačka district. Notably, throughout the study period, the working-age population was the most affected, along with females, with a mild clinical presentation dominating. Reinfections were most frequently recorded during the latter pandemic waves. Dealing with this pandemic has provided some valuable lessons for the development of future strategies in the case of a similar public health crisis.

Prevalence and risk factors for seizures in adult COVID-19 patients: A meta-analysis

Seizures may be one of the neurological consequences of COVID-19. The present study aims to review the prevalence of seizures in COVID-19 patients considering sex and geographical origin. A review protocol was submitted to the PROSPERO database (CRD42021281467). PRISMA statement was used to report the meta-analysis. The authors selected studies for the meta-analysis by searching the principal databases. Studies were eligible if they reported seizures in COVID-19 patients, regardless of study design. Data were analyzed by proportion meta-analysis with a 95 % confidence interval (95 % CI). Cochran's Q and Higgins' I2 were used to measure heterogeneity. R software was used for meta-analysis. Subgroup analyses were carried out for sex, geographical origin of the subjects, and illness severity. A checklist for prevalence studies was used to assess the risk of bias in the included studies. A total of 32 studies (n = 251,997 analyzed patients) were included in this meta-analysis. A prevalence of 1.03 % (95 % CI 0.73 to 1.37, I2 = 93 %, p < 0.001) was found. No statistically significant differences were found in the analysis by geographical subgroups. Men were found to be less likely to had COVID-19 seizures (OR = 0.75, 95 % CI 0.21-2.74), while mildly ill patients were found to be more likely to had COVID-19-induced seizures (OR = 2.08, 95 % CI 0.86-5.06). Our results show a slight prevalence of seizures in COVID-19 patients. In addition, we found that the groups analyzed had differences in the odds of having COVID-19-induced seizures.

Association between ABO blood groups and SARS-CoV-2 infection in blood donors of Puglia region

This is an observational multicentric cross-sectional study aiming at assessing the association between ABO blood groups and SARS-CoV-2 seroprevalence among the blood donors in Puglia region. Data on ABO and Rh blood groups and demographic characteristics were obtained from Blood Bank Information System. All donors were screened for SARS-CoV-2 IgG antibodies. Comparison of seroprevalence among blood groups and the association between the recorded variables and seroprevalence were evaluated. A total of 35,709 donors from 22 centers were included, with a seroprevalence of 6.8%. The distribution of ABO phenotypes was blood type O (46.8%), A (34.0%), B (14.7%), and AB (4.5%). Among the 2416 donors reactive for SARS-CoV-2 IgG, the prevalent phenotype was blood type O (43.1%), followed by A (37.7%), B (14.2%), and AB (5%). The seroprevalence of phenotype A and AB was 7.5%, followed by B (6.5%) and O (6.2%). According to the adjusted analysis, there was an increase in seroprevalence in groups A and AB, compared to group O, and an increase in males compared to females. A possible effect modification was observed after stratifying for sex (p = 0.0515). A significantly lower prevalence of blood type O was found compared to A and AB, whereas no association was observed between Rh factor and seroprevalence. We hypothesized that the A antigen present in blood type A and AB can play a role in the binding of SARS-CoV-2 to ACE2 receptors, resulting in an increased risk of infection. Furthermore, natural anti-A/anti-B antibodies produced in group O could block viral adhesion to cells and explain a lower risk of infection.

Prognostic Value of CYP1A2 (rs2069514 and rs762551) Polymorphisms in COVID-19 Patients

The aim of the study was to examine the genotype-allele determination of CYP1A2 rs2069514 and rs762551 polymorphisms in patients with mild and severe COVID-19 and to determine their effectiveness as prognostic criteria in COVID-19. The study consists of 60 patients who were hospitalized in intensive care or outpatient treatment due to COVID-19 in Istanbul NP Brain Hospital between 2020-2021. Genotyping was conducted by Real-Time PCR. Age (p<0.001); chronic disease (p=0.002); cardiovascular disease (p=0.004); respiratory distress (p<0.001); neurological disease (p=0.004); fatigue (p=0.048); loss of taste and smell (p=0.003); nausea/vomiting (p=0.026); intubated (p<0.001); ground glass image (p<0.001) and CYP1A2 genotypes (p<0.001) showed a statistically significant difference between patients with and without intensive care admission. According to multivariate logistic regression analysis, CYP1A2 *1A/*1C + *1C/*1C genotypes (OR:5.23 95% CI: 1.22-22.36; p=0.025), chronic disease (OR:4.68 95% CI:1.14-19.15; p=0.032) or patients at 65 years or older (OR:5.17, 95%CI:1.26-21.14; p=0.022) increased the risk of admission to the intensive care unit. According to our results, we strongly suggest considering the CYP1A2 rs2069514 and rs762551 polymorphisms as important predictors of Intensive Care Unit admission in patients with COVID-19, and we also suggest that genotype results will guide clinicians for the benefit and the efficiency of the treatment.

Seroepidemiological and Molecular Survey for the Detection of SARS-CoV-2 Infection among Children in Iran, September 2020 to June 2021: 1-Year Cross-Sectional Study

A population-based seroepidemiological and molecular survey on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was performed to detect induced antibodies to prior exposure and active infection of children aged 14 years or less in Tehran between 19 September 2020 and 21 June 2021. Moreover, correlations between the children's demographic data and coronavirus disease 2019 (COVID-19) symptoms with the infection status were investigated. Out of 1517 participants, cardinal symptoms of COVID-19 (fever > 38 °C and/or cough and/or diarrhea) were detected in 18%, and serological history of SARS-CoV-2 infection and polymerase chain reaction (PCR) positivity were confirmed in 33.2% and 10.7% of the weighted population, respectively. The prevalence of SARS-CoV-2 infection was significantly higher among 10-14-year-old children. Active infection was significantly higher in symptomatic children and during autumn 2020 and spring 2021. The quantitative reverse transcription real-time PCR (RT-qPCR) positivity was significantly higher among families with a lower socioeconomic status, whereas no association between RT-qPCR or seropositivity was determined with household size, underlying diseases, or gender. In conclusion, high SARS-CoV-2 infection prevalence and seroprevalence were detected in children in Tehran in different seasons. Infection prevalence was significantly higher in older children and in those with a positive history of close contact with infected cases and/or lower socioeconomic status.

Probabilistic survival modeling in health research: an assessment using cohort data from hospitalized patients with COVID-19 in a Latin American city

Probabilistic survival methods have been used in health research to analyze risk factors and adverse health outcomes associated with COVID-19. The aim of this study was to employ a probabilistic model selected among three distributions (exponential, Weibull, and lognormal) to investigate the time from hospitalization to death and determine the mortality risks among hospitalized patients with COVID-19. A retrospective cohort study was conducted for patients hospitalized due to COVID-19 within 30 days in Londrina, Brazil, between January 2021 and February 2022, registered in the database for severe acute respiratory infections (SIVEP-Gripe). Graphical and Akaike Information Criterion (AIC) methods were used to compare the efficiency of the three probabilistic models. The results from the final model were presented as hazard and event time ratios. Our study comprised of 7,684 individuals, with an overall case fatality rate of 32.78%. Data suggested that older age, male sex, severe comorbidity score, intensive care unit admission, and invasive ventilation significantly increased risks for in-hospital mortality. Our study highlights the conditions that confer higher risks for adverse clinical outcomes attributed to COVID-19. The step-by-step process for selecting appropriate probabilistic models may be extended to other investigations in health research to provide more reliable evidence on this topic.

Intent to vaccinate against SARS-CoV-2 and its determinants across six ethnic groups living in Amsterdam, the Netherlands: A cross-sectional analysis of the HELIUS study

BACKGROUND

Ethnic minority groups experience a disproportionately high burden of infections, hospitalizations and mortality due to COVID-19, and therefore should be especially encouraged to receive SARS-CoV-2 vaccination. This study aimed to investigate the intent to vaccinate against SARS-CoV-2, along with its determinants, in six ethnic groups residing in Amsterdam, the Netherlands.

METHODS

We analyzed data of participants enrolled in the population-based multi-ethnic HELIUS cohort, aged 24 to 79 years, who were tested for SARS-CoV-2 antibodies and answered questions on vaccination intent from November 23, 2020 to March 31, 2021. During the study period, SARS-CoV-2 vaccination in the Netherlands became available to individuals working in healthcare or > 75 years old. Vaccination intent was measured by two statements on a 7-point Likert scale and categorized into low, medium, and high. Using ordinal logistic regression, we examined the association between ethnicity and lower vaccination intent. We also assessed determinants of lower vaccination intent per ethnic group.

RESULTS

A total of 2,068 participants were included (median age 56 years, interquartile range 46-63). High intent to vaccinate was most common in the Dutch ethnic origin group (369/466, 79.2%), followed by the Ghanaian (111/213, 52.1%), South-Asian Surinamese (186/391, 47.6%), Turkish (153/325, 47.1%), African Surinamese (156/362, 43.1%), and Moroccan ethnic groups (92/311, 29.6%). Lower intent to vaccinate was more common in all groups other than the Dutch group (P < 0.001). Being female, believing that COVID-19 is exaggerated in the media, and being < 45 years of age were common determinants of lower SARS-CoV-2 vaccination intent across most ethnic groups. Other identified determinants were specific to certain ethnic groups.

CONCLUSIONS

Lower intent to vaccinate against SARS-CoV-2 in the largest ethnic minority groups of Amsterdam is a major public health concern. The ethnic-specific and general determinants of lower vaccination intent observed in this study could help shape vaccination interventions and campaigns.

Effects of Biological Sex and Pregnancy on SARS-CoV-2 Pathogenesis and Vaccine Outcomes

SARS-CoV-2 is the causative agent of COVID-19 in humans and has resulted in the death of millions of people worldwide. Similar numbers of infections have been documented in males and females; males, however, are more likely than females to be hospitalized, require intensive care unit, or die from COVID-19. The mechanisms that account for this are multi-factorial and are likely to include differential expression of ACE2 and TMPRSS2 molecules that are required for viral entry into hosts cells and sex differences in the immune response, which are due to modulation of cellular functions by sex hormones and differences in chromosomal gene expression. Furthermore, as comorbidities are also associated with poorer outcomes to SARS-CoV-2 infection and several comorbidities are overrepresented in males, these are also likely to contribute to the observed sex differences. Despite their relative better prognosis following infection with SARS-CoV-2, females do have poorer outcomes during pregnancy. This is likely to be due to pregnancy-induced changes in the immune system that adversely affect viral immunity and disruption of the renin-angiotensin system. Importantly, vaccination reduces the severity of disease in males and females, including pregnant females, and there is no evidence that vaccination has any adverse effects on the outcomes of pregnancy.

Sex-differences in COVID-19 diagnosis, risk factors and disease comorbidities: A large US-based cohort study

Introduction

Morbidity and mortality from COVID-19 are higher among men, however, underlying pathways remain controversial. We aim to investigate sex-gender differences in COVID-19 in a large US-based cohort, namely COVID-19 Research Database. More specifically, the objectives are to explore the socio-economic characteristics of COVID-19 male and female patients and to examine potential sex differences in lifestyle factors and disease comorbidities among diagnosed patients.

Methods

This is a retrospective cohort study contrasting male vs. female patients with test-confirmed COVID-19. The study used Healthjump electronic medical records (e.g., demographics, encounters, medical history, and vitals) extracted from January 2020 to December 2021 (N = 62,310).

Results

Significant sociodemographic and comorbidity differences were observed between males and females (p < 0.05). For example, a significantly higher proportion of males (vs. females) were aged ≥70-year-old (17.04 vs. 15.01%) and smokers (11.04 vs. 9.24%, p < 0.0001). In addition, multiple logistic regression showed that hypertension and diabetes were significantly more frequent in males [adjusted odds ratio (ORa) = 66.19 and ORa = 22.90].

Conclusions

Understanding the differences in outcomes between male and female patients will inform gender equity responsive approach to COVID-19 and enhance the effectiveness of clinical practice, health policy and interventions.

Risk of severe COVID-19 outcomes associated with rheumatoid arthritis and phenotypic subgroups: a retrospective, comparative, multicentre cohort study

Background

Rheumatoid arthritis has been associated with severe COVID-19, but few studies have investigated how phenotypes of rheumatoid arthritis affect these associations. We aimed to investigate the associations between rheumatoid arthritis and phenotypes of interstitial lung disease, serostatus, and bone erosions with COVID-19 severity.

Methods

We did a retrospective, comparative, multicentre cohort study at two large health-care systems (Mayo Clinic [19 hospitals and affiliated outpatient centres] and Mass General Brigham [14 hospitals and affiliated outpatient centres]) in the USA. Consecutive patients with rheumatoid arthritis meeting the 2010 American College of Rheumatology/European League Against Rheumatism classification criteria and who had COVID-19 between March 1, 2020, and June 6, 2021, were matched 1:5 on age, sex, and calendar date with patients without rheumatoid arthritis (comparators). Data were received from electronic health records from Mayo Clinic and Mass General Brigham. We examined subgroups of patients with rheumatoid arthritis by phenotypic features: rheumatoid arthritis-associated interstitial lung disease, seropositivity (for anti-cyclic citrullinated peptide, rheumatoid factor, or both), and bone erosions. Severe COVID-19 was a composite of hospitalisation or death. We used Cox regression to estimate hazard ratios (HR) for severe COVID-19, comparing rheumatoid arthritis and subgroups to the comparator group.

Findings

We identified 582 patients with rheumatoid arthritis and 2875 matched comparators, all of whom had COVID-19 within the study dates. The mean age of those with rheumatoid arthritis was 62 [SD 14] years, 421 (72%) of 582 were women and 161 (28%) were men, 457 (79%) were White, 65 (11%) were Hispanic or Latino, and 41 (7%) were Black. Among patients with rheumatoid arthritis, 50 (9%) of 582 had interstitial lung disease, 388 (68%) of 568 were seropositive, and 159 (27%) of 582 had bone erosions. Severe COVID-19 occurred in 126 (22%) of 582 patients with rheumatoid arthritis versus 363 (13%) 2875 in the comparator group. Patients with rheumatoid arthritis had an HR of 1·75 (95% CI 1·45-2·10) for severe COVID-19 versus the comparator group. Patients with rheumatoid arthritis-associated interstitial lung disease had an HR of 2·50 (1·66-3·77) versus the comparator group for severe COVID-19. The risk for severe COVID-19 was also higher in patients with rheumatoid arthritis who were seropositive (HR 1·97 [95% CI 1·58-2·46]) or had erosive disease (1·93 [1·41-2·63]) than for those in the comparator group.

Interpretation

Patients with rheumatoid arthritis have an increased risk of severe COVID-19 across phenotypic subgroups, especially among patients with interstitial lung disease. These findings suggest that rheumatoid arthritis with interstitial lung disease, or its treatment, might be a substantial contributor to severe COVID-19 outcomes for patients with rheumatoid arthritis.

Funding

None.

Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation

Background

metabolic changes through SARS-CoV-2 infection has been reported but not fully comprehended. This metabolic dysregulation affects multiple organs during COVID-19 and its early detection can be used as a prognosis marker of severity. Therefore, we aimed to characterize metabolic and cytokine profile at COVID-19 onset and its relationship with disease severity to identify metabolic profiles predicting disease progression.

Material and Methods

we performed a retrospective cross-sectional study in 123 COVID-19 patients which were stratified as asymptomatic/mild, moderate and severe according to the highest COVID-19 severity status, and a group of healthy controls. We performed an untargeted plasma metabolic profiling (gas chromatography and capillary electrophoresis-mass spectrometry (GC and CE-MS)) and cytokine evaluation.

Results

After data filtering and identification we observed 105 metabolites dysregulated (66 GC-MS and 40 CE-MS) which shown different expression patterns for each COVID-19 severity status. These metabolites belonged to different metabolic pathways including amino acid, energy, and nitrogen metabolism among others. Severity-specific metabolic dysregulation was observed, as an increased transformation of L-tryptophan into L-kynurenine. Thus, metabolic profiling at hospital admission differentiate between severe and moderate patients in the later phase of worse evolution. Several plasma pro-inflammatory biomarkers showed significant correlation with deregulated metabolites, specially with L-kynurenine and L-tryptophan. Finally, we describe a strong sex-related dysregulation of metabolites, cytokines and chemokines between severe and moderate patients. In conclusion, metabolic profiling of COVID-19 patients at disease onset is a powerful tool to unravel the SARS-CoV-2 molecular pathogenesis.

Conclusions

This technique makes it possible to identify metabolic phenoconversion that predicts disease progression and explains the pronounced pathogenesis differences between sexes.

Genomic surveillance of SARS-CoV-2 in patients presenting neurological manifestations

During the first wave of infections, neurological symptoms in Coronavirus Disease 2019 (COVID-19) patients raised particular concern, suggesting that, in a subset of patients, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could invade and damage cells of the central nervous system (CNS). Indeed, up to date several in vitro and in vivo studies have shown the ability of SARS-CoV-2 to reach the CNS. Both viral and/or host related features could explain why this occurs only in certain individuals and not in all the infected population. The aim of the present study was to evaluate if onset of neurological manifestations in COVID-19 patients was related to specific viral genomic signatures. To this end, viral genome was extracted directly from nasopharyngeal swabs of selected SARS-CoV-2 positive patients presenting a spectrum of neurological symptoms related to COVID-19, ranging from anosmia/ageusia to more severe symptoms. By adopting a whole genome sequences approach, here we describe a panel of known as well as unknown mutations detected in the analyzed SARS-CoV-2 genomes. While some of the found mutations were already associated with an improved viral fitness, no common signatures were detected when comparing viral sequences belonging to specific groups of patients. In conclusion, our data support the notion that COVID-19 neurological manifestations are mainly linked to patient-specific features more than to virus genomic peculiarities.

The Long-Term Effect of COVID-19 Disease Severity on Risk of Diabetes Incidence and the Near 1-Year Follow-Up Outcomes among Postdischarge Patients in Wuhan

We assessed the nearly 1-year health consequences following discharge and related risk factors of COVID-19 infection and further explored the long-term effect of COVID-19 disease severity on the risk of diabetes incidence. This prospective study included 248 COVID-19 patients discharged from Wuhan Hospital of Traditional Chinese Medicine who were followed up between 1 March and 10 June 2021. Logistic regression models were used to evaluate risk factors. The top ten symptoms were shortness of breath (30.3%), sore or dry throat (25.7%), cough (23.2%), expectoration (23.2%), body pain (22.3%), chest tightness (20.8%), palpitations (17.8%), sleep difficulties (17.0%), fatigue (16.6%), and anxiety (15.3%). Hypertension was associated with fatigue (OR = 2.51, 95% CI: 1.08, 5.80), shortness of breath (OR = 2.34, 95% CI: 1.16, 4.69), palpitations (OR = 2.82, 95% CI: 1.26, 6.31), expectoration (OR = 2.08, 95% CI: 1.01, 4.30), and sore or dry throat (OR = 2.71, 95% CI: 1.30, 5.65). Diabetes was associated with palpitations (OR = 3.22, 95% CI: 1.18, 8.81). Critical illness was associated with an increased risk of diabetes incidence after discharge (OR = 2.90, 95% CI: 1.07, 7.88), which seemed more evident in males. Long COVID-19 symptoms were common at 1-year postdischarge; hypertension and diabetes could be projected as potential risk factors. We are among the first researchers to find that critical illness is associated with incident diabetes after discharge.