National COVID-19 Research Articles

Exploring Influencing Factors on Capital Adequacy in Commercial Banks

This study estimates the effect of macroeconomic and control factors on the capital adequacy ratio of commercial banks in Vietnam. Using the feasible generalized least squares method (FGLS), the following factors are statistically significant in affecting the capital adequacy ratio: national governance quality, economic growth, COVID-19, bank size, liquidity, and leverage. This study also highlights the role of compliance in maintaining capital adequacy during a global crisis, such as the COVID-19 outbreak, because commercial banks need more capital to absorb shocks in the financial instability period caused by the pandemic. Besides, the author emphasizes that in developing countries, especially Vietnam, the government needs to ensure national governance quality, such as political stability and regulatory quality, to increase additional capital buffers to protect them from losses or bankruptcies. Furthermore, the author conducts robustness tests to enhance the reliability and impartiality of the research findings. Doi: 10.28991/ESJ-2024-08-02-010 Full Text: PDF

In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative

BackgroundStudies examining racial and ethnic disparities in-hospital mortality for patients hospitalized with COVID-19 had mixed results. Findings from patients within academic medical centers (AMCs) are lacking, but important given the role of AMCs in improving health equity. ObjectiveThe purpose of this study is to assess whether minority patients hospitalized with COVID-19 in National COVID Cohort Collaborative (N3C) institutions, which consist predominantly of AMCs, have higher mortality rates relative to White patients. DesignA retrospective analysis of patients hospitalized with COVID-19 was performed. Logistic regression analysis was used to test the primary hypothesis. A separate analysis tested whether there were differences by race and ethnicity during the delta variant phase of the pandemic. PatientsAll hospitalized patients with COVID-19 who were above 17 years old were categorized by race and ethnicity as Black, Hispanic, Asian, White, Other, and Unknown. Main MeasuresIn-hospital mortality for patients with a known hospital outcome formed the primary outcome measure. Race and ethnicity were the primary independent variables. Key ResultsThere were 103,702 in-hospital Covid-19 admissions with 14,207 (13.7%) hospital deaths. Unadjusted in-hospital mortality for White patients was approximately 26% higher than for Black patients. After multivariable adjustment, none of the racial and ethnic groups had significantly different odds of in-hospital mortality compared to White patients. Only Hispanic patients had an odds ratio greater than one that was insignificant (OR = 1.06; 95% CI = 0.92-1.20). Findings for the delta variant phase were similar with the exception of the unknown category (OR = 1.90; 95% CI = 1.05-3.46). ConclusionsDisparities in-hospital mortality outcomes by race or ethnicity were not found in COVID-19 patients hospitalized in AMCs. AMCs are expected to lead health delivery systems in eliminating disparities associated with structural racism. The null findings are consistent with the hypothesis of no difference in hospital outcomes by race or ethnicity in academic medical centers.

Incidence and Mortality of COVID-19-Associated Invasive Fungal Infections Among Critically Ill Intubated Patients: A Multicenter Retrospective Cohort Analysis.

An association between coronavirus disease 2019 (COVID-19)-associated invasive fungal infections (CAIFIs) and high mortality among intubated patients has been suggested in previous research. However, some of the current evidence was derived from small case series and multicenter studies conducted during different waves of the COVID-19 pandemic. We examined the incidence of CAIFIs and their associated mortality using a large, multicenter COVID-19 database built throughout the pandemic. We conducted a retrospective analysis of the National COVID Cohort Collaborative (N3C) database collected from 76 medical centers in the United States between January 2020 and August 2022. Patients were 18 years or older and intubated after severe acute respiratory syndrome coronavirus 2 infection. The primary outcomes were incidence and all-cause mortality at 90 days. To assess all-cause mortality, we fitted Cox proportional hazard models after adjusting for confounders via inverse probability weighting. Out of the 4 916 229 patients with COVID-19 diagnosed during the study period, 68 383 (1.4%) met our cohort definition. The overall incidence of CAIFI was 2.80% (n = 1934/68 383). Aspergillus (48.2%; n = 933/1934) and Candida (41.0%; n = 793/1934) were the most common causative organisms. The incidence of CAIFIs associated with Aspergillus among patients who underwent BAL was 6.2% (n = 83/1328). Following inverse probability weighting, CAIFIs caused by Aspergillus (hazard ratio [HR], 2.0; 95% CI, 1.8-2.2) and Candida (HR, 1.7; 95% CI, 1.5-1.9) were associated with increased all-cause mortality. Systemic antifungals reduced mortality in 17% of patients with CAIFI with Aspergillus and 24% of patients with CAIFI with Candida. The incidence of CAIFI was modest but associated with higher 90-day all-cause mortality among intubated patients. Systemic antifungals modified mortality.

Association of Premorbid GLP-1RA and SGLT-2i Prescription Alone and in Combination with COVID-19 Severity.

People with type 2 diabetes are at heightened risk for severe outcomes related to COVID-19 infection, including hospitalization, intensive care unit admission, and mortality. This study was designed to examine the impact of premorbid use of glucagon-like peptide-1 receptor agonist (GLP-1RA) monotherapy, sodium-glucose cotransporter-2 inhibitor (SGLT-2i) monotherapy, and concomitant GLP1-RA/SGLT-2i therapy on the severity of outcomes in individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Utilizing observational data from the National COVID Cohort Collaborative through September 2022, we compared outcomes in 78,806 individuals with a prescription of GLP-1RA and SGLT-2i versus a prescription of dipeptidyl peptidase 4 inhibitors (DPP-4i) within 24months of a positive SARS-CoV-2 PCR test. We also compared concomitant GLP-1RA/SGLT-2i therapy to GLP-1RA and SGLT-2i monotherapy. The primary outcome was 60-day mortality, measured from the positive test date. Secondary outcomes included emergency room (ER) visits, hospitalization, and mechanical ventilation within 14days. Using a super learner approach and accounting for baseline characteristics, associations were quantified with odds ratios (OR) estimated with targeted maximum likelihood estimation (TMLE). Use of GLP-1RA (OR 0.64, 95% confidence interval [CI] 0.56-0.72) and SGLT-2i (OR 0.62, 95% CI 0.57-0.68) were associated with lower odds of 60-day mortality compared to DPP-4i use. Additionally, the OR of ER visits and hospitalizations were similarly reduced with GLP1-RA and SGLT-2i use. Concomitant GLP-1RA/SGLT-2i use showed similar odds of 60-day mortality when compared to GLP-1RA or SGLT-2i use alone (OR 0.92, 95% CI 0.81-1.05 and OR 0.88, 95% CI 0.76-1.01, respectively). However, lower OR of all secondary outcomes were associated with concomitant GLP-1RA/SGLT-2i use when compared to SGLT-2i use alone. Among adults who tested positive for SARS-CoV-2, premorbid use of either GLP-1RA or SGLT-2i is associated with lower odds of mortality compared to DPP-4i. Furthermore, concomitant use of GLP-1RA and SGLT-2i is linked to lower odds of other severe COVID-19 outcomes, including ER visits, hospitalizations, and mechanical ventilation, compared to SGLT-2i use alone. Graphical abstract available for this article.

Fluctuations of stress and resilience in healthcare workers during the COVID-19 pandemic: Insights and recommendations

BackgroundHealthcare workers (HCW) have faced unprecedented challenges during the COVID-19, with significant impact on their well-being. We aimed to monitor stress-related symptoms and resilience in HCW over time in relation to various factors during the COVID-19 pandemic. MethodsBetween June 2020 and May 2022, data was collected among HCW of Leiden University Medical Centre (LUMC) through a digital self-monitoring application. The application included a 14-items self-monitoring tool (i.e., 7-items on Supporting factors, 7-items on Stressful burden), and a set of validated questionnaires (i.e., the Copenhagen Burnout Inventory (CBI), Impact of Event Scale – Revised (IES-R), Resilience Evaluation Scale (RES), and Depression Anxiety and Stress Scale (DASS-21). ResultsThe self-monitoring tool and validated questionnaires were completed by 1070 and 413 participants respectively. Mean stress-related symptom scores (as measured by the self-monitoring, CBI, IES-R, and DASS-21) exhibited significant changes over time (all p’s < 0.001), which correlated with the waves of COVID-19 patients admitted and the national COVID-19 mortality rate (all p’s < 0.005). Resilience, as measured by the RES, showed a significant decrease from the start of data collection onwards (p = 0.001), whereas supporting factors showed significant decreases the first few months, followed by fluctuations after January 2021 (p = 0.02). LimitationsSelection bias may have arisen as those participating may have been more concerned with the burden on mental wellbeing. ConclusionsThe current study underscores the need for active psychosocial support for all HCW particularly during periods of increased admissions due to pandemics.

The effectiveness of community health worker training, equipping, and deployment in reducing COVID-19 infections and deaths in rural Western Kenya: A comparison of two counties.

COVID-19 and other pandemics remain significant threats to population health, particularly in rural settings where health systems are disproportionately weak. There is a lack of evidence on whether trained, equipped, and deployed community health workers (CHWs) can lead to significant reductions in COVID-19 infections and deaths. Our objective was to measure the effectiveness of deploying trained and equipped CHWs in reducing COVID-19 infections and deaths by comparing outcomes in two counties in rural Western Kenya, a setting with limited critical care capacity and limited access to COVID-19 vaccines and oral COVID-19 antivirals. In Siaya, trained CHWs equipped with thermometers, pulse oximeters, and KN95 masks, visited households to convey health information about COVID-19 prevention. They screened, isolated, and referred COVID-19 cases to facilities with oxygen capacity. They measured and digitally recorded vital signs at the household level. In Kisii county, the standard Kenya national COVID-19 protocol was implemented. We performed a comparative analysis of differences in CHW skills, activity, and COVID-19 infections and deaths using district health information system (DHIS2) data. Trained Siaya CHWs were more skilled in using pulse oximeters and digitally reporting vital signs at the household level. The mean number of oxygen saturation measurements conducted in Siaya was 24.19 per COVID-19 infection; and the mean number of temperature measurements per COVID-19 infection was 17.08. Siaya CHWs conducted significantly more household visits than Kisii CHWs (the mean monthly CHW household visits in Siaya was 146,648.5, standard deviation 11,066.5 versus 42,644.5 in Kisii, standard deviation 899.5, p value = 0.01). Deploying trained and equipped CHWs in rural Western Kenya was associated with lower risk ratios for COVID-19 infections and deaths: 0.54, 95% CI [0.48-0.61] and 0.29, CI [0.13-0.65], respectively, consistent with a beneficial effect.

Comparative effectiveness of dexamethasone in treatment of hospitalized COVID-19 patients in the United States during the first year of the pandemic: Findings from the National COVID Cohort Collaborative (N3C) data repository.

Dexamethasone was approved for use in hospitalized COVID-19 patients early in the pandemic based on the RECOVERY trial, but evidence is still needed to support its real-world effectiveness in heterogeneous populations of patients with a wide range of comorbidities. COVID-19 inpatients represented within the National COVID Cohort Collaborative (N3C) Data Enclave, prior to vaccine availability, were studied. Primary outcome was in-hospital death; secondary outcome was combined in-hospital death and severe outcome defined by use of ECMO or mechanical ventilation. Missing data were imputed with single imputation. Dexamethasone-treated patients were propensity score (PS) matched to non-dexamethasone-treated controls, stratified by remdesivir treatment and based on demographics, baseline laboratory values, comorbidities, and amount of missing data before imputation. Treatment benefit was quantified using logistic regression. Further sensitivity analyses were performed using clinical adjusters in matched groups and in strata defined by quartiles of PS. Dexamethasone treatment was associated with reduced risk of in-hospital mortality for n = 1,263 treated, matched 1:3 to untreated, patients not receiving remdesivir (OR = 0.77, 95% CI: 0.62 to 0.95, p = 0.017), and for n = 804 treated, matched 1:1 to untreated, patients receiving remdesivir (OR = 0.74, 95% CI: 0.53 to 1.02, p = 0.054). Treatment showed secondary outcome benefit. In sensitivity analyses, treatment effect generally remained similar with some heterogeneity of benefit across quartiles of PS, possibly reflecting concentration of benefit among the more severely affected. We add evidence that dexamethasone provides benefit with respect to mortality and severe outcomes in a diverse, national hospitalized sample, prior to vaccine availability.

Home-schooling and caring for children during the COVID-19 lockdown in the UK: emotional states, systems of support and coping strategies in working mothers.

We examined the experience of the intensification of home-schooling and/or childcare in working mothers in the United Kingdom during the first national COVID-19 lockdown. Our focus was on understanding how mothers dealt with this challenging period both emotionally and practically. Eligible mothers (n = 47; Mage = 39.6) participated in an anonymous online survey of openended questions. Thematic analysis of responses showed that mothers found home-schooling and/or childcare to be challenging. This was particularly notable in situations where support from partners, schools, and workplaces was limited. For single working mothers, the absence of support resources was especially impactful. Mothers often felt overly stressed trying to balance work and family responsibilities, guilty for not meeting their child's needs, and were worried over their child's well-being and academic progress and over increasing work demands. Common strategies mothers used to cope with the challenges of home-schooling and/or childcare included adopting a positive outlook, implementing flexible family structures, increasing family connectedness, and negotiating alternative partnership models. The intensification of home-schooling and/or childcare during the lockdown in the United Kingdom negatively affected maternal well-being, particularly due to limited support. These findings underscore the importance of prioritizing maternal wellbeing in post-pandemic recovery efforts. Additionally, they highlight the social dimension of maternal wellbeing and suggest a comprehensive approach to support it that includes both timely access to intervention for mental health but also implementing family-friendly work policies and offering support with childcare and children's learning as essential measures.

Comparison of time to negative conversion of SARS-CoV-2 between young and elderly among asymptomatic and mild COVID-19 patients: a cohort study from a national containment center.

We aimed to study the relationship between age and time to negative conversion of SARS-CoV-2 in patients with asymptomatic and mild forms of COVID-19. We conducted a cohort study including all patients diagnosed with COVID-19 from the national COVID-19 containment center of Tunisia. Patients were subdivided into two cohorts: (under 60 years) and (over 60 years) and were followed up until PCR negativization. Log rank test and Cox regression were applied to compare time to negative conversion between the old group and the young group. The study included 289 patients with non-severe forms of COVID-19. Age over 60 was significantly associated with delayed negative conversion in male sex (Hazard ratio (HR): 1.9; 95% CI: 1.2-3.07) and among patients with morbid conditions (HR:1.68; 95% CI: 1.02-2.75) especially diabetics (HR: 2.06; 95% CI: 1.01-4.21). This association increased to (HR:2.3; 95% CI: 1.13-4.66) when male sex and comorbidities were concomitantly present and rose to (HR: 2.63; 95% CI: 1.02-6.80) for men with diabetes. Cox regression analysis revealed a significantly delayed negative conversion in symptomatic patients. Significant interaction was observed between gender and age and between age and chronic conditions. Age is associated with delayed negative conversion of viral RNA in certain subgroups. Identifying these subgroups is crucial to know how prioritize preventive strategies in elderly.

Socioeconomic Inequalities in SARS-CoV-2 Infection and COVID-19 Health Outcomes in Urban Italy During the COVID-19 Vaccine Rollout, January–November 2021

This study analysed the evolution of the association of socioeconomic deprivation (SED) with SARS-CoV-2 infection and COVID-19 outcomes in urban Italy during the vaccine rollout in 2021. We conducted a retrospective cohort analysis between January and November 2021, comprising of 16,044,530 individuals aged ≥ 20 years, by linking national COVID-19 surveillance system data to the Italian SED index calculated at census block level. We estimated incidence rate ratios (IRRs) of infection and severe COVID-19 outcomes by SED tercile relative to the least deprived tercile, over three periods defined as low (0–10%); intermediate (> 10–60%) and high (> 60–74%) vaccination coverage. We found patterns of increasing relative socioeconomic inequalities in infection, hospitalisation and death as COVID-19 vaccination coverage increased. Between the low and high coverage periods, IRRs for the most deprived areas increased from 1.09 (95%CI 1.03–1.15) to 1.28 (95%CI 1.21–1.37) for infection; 1.48 (95%CI 1.36–1.61) to 2.02 (95%CI 1.82–2.25) for hospitalisation and 1.57 (95%CI 1.36–1.80) to 1.89 (95%CI 1.53–2.34) for death. Deprived populations in urban Italy should be considered as vulnerable groups in future pandemic preparedness plans to respond to COVID-19 in particular during mass vaccination roll out phases with gradual lifting of social distancing measures.

Evaluation of a mobile COVID-19 vaccination van outreach service in an outer South London borough.

This study aimed to explore differences in users of a COVID-19 mobile vaccine van service and users of a COVID-19 static vaccination hub, and the impact of changes in national COVID-19 vaccine policy on vaccine uptake. The age distribution of male and female service users in each service was compared. The average number of vaccines administered per hour per week was analysed. Females aged 80-89 represented 51.9% (95% CI 49.5-54.3%) of female vaccine van users compared with 2.8% (95% CI 2.5-3.1%) of female static hub users. The static hub had significantly greater proportions of female service users in all other age brackets.For males, the greatest difference was in those aged 70-79 who represented 29.8% (95% CI 27-32.6%) of vaccine van users and 16.6% (95% CI 16-17.2%) static hub users.Fewer vaccines were administered 2-3weeks before the COVID-19 autumn booster policy change compared with 2-3weeks after; 1.92 versus 6.25 vaccines per hour, respectively (Mann-Whitney U=7, n1=11, n2=8, P<0.01 two-tailed). These findings suggest that a mobile vaccine van service is an effective model for increasing COVID-19 vaccination uptake in elderly residents, particularly after a national policy change.

Remote Physiotherapy for Children with ASD during the COVID-19 Pandemic: A Thematic Analysis of Physical Therapists' Perspectives.

Background: Physical therapy plays a crucial role in addressing the physical challenges faced by individuals with autism spectrum disorder (ASD). Amidst the COVID-19 pandemic lockdown, physical therapists (PTs) working in special education centers for ASD children were tasked with deploying remote telehealth interventions (RTIs), an uncommon approach in physical therapy until then. The present article aims to describe and discuss the PTs' perspective of using RTI with children with ASD during the national Israeli COVID-19 lockdown. Methods: Reports from 13 experienced PTs who treated and supported 244 children with ASD using RTIs over six weeks were analyzed. The study employed quantitative research methods, including freely written reports and discussions addressing the question "what were your experiences as a PT treating ASD children remotely during the nationwide COVID-19 lockdown?" Results: the reports were categorized into four main themes: (a) the implications of RTIs on the children; (b) the implications of RTIs on the PTs; (c) modifications for applying RTI; and (d) PTs' family rapport as a necessary basis for RTI. Noteworthy findings include the unaffected implementation of RTIs by ASD severity level and the dependence of RTI's success on parental availability and the ability of parents to tailor activities for their child. Conclusions: The findings of the current research suggest that PT services through RTIs are well-suited for individuals with ASD and their families.

Pregnancy Outcomes among Pregnant Persons after COVID-19 Vaccination: Assessing Vaccine Safety in Retrospective Cohort Analysis of U.S. National COVID Cohort Collaborative (N3C).

COVID-19 vaccines have been shown to be effective in preventing severe illness, including among pregnant persons. The vaccines appear to be safe in pregnancy, supporting a continuously favorable overall risk/benefit profile, though supportive data for the U.S. over different periods of variant predominance are lacking. We sought to analyze the association of adverse pregnancy outcomes with COVID-19 vaccinations in the pre-Delta, Delta, and Omicron SARS-CoV-2 variants' dominant periods (constituting 50% or more of each pregnancy) for pregnant persons in a large, nationally sampled electronic health record repository in the U.S. Our overall analysis included 311,057 pregnant persons from December 2020 to October 2023 at a time when there were approximately 3.6 million births per year. We compared rates of preterm births and stillbirths among pregnant persons who were vaccinated before or during pregnancy to persons vaccinated after pregnancy or those who were not vaccinated. We performed a multivariable Poisson regression with generalized estimated equations to address data site heterogeneity for preterm births and unadjusted exact models for stillbirths, stratified by the dominant variant period. We found lower rates of preterm birth in the majority of modeled periods (adjusted incidence rate ratio [aIRR] range: 0.42 to 0.85; p-value range: <0.001 to 0.06) and lower rates of stillbirth (IRR range: 0.53 to 1.82; p-value range: <0.001 to 0.976) in most periods among those who were vaccinated before or during pregnancy compared to those who were vaccinated after pregnancy or not vaccinated. We largely found no adverse associations between COVID-19 vaccination and preterm birth or stillbirth; these findings reinforce the safety of COVID-19 vaccination during pregnancy and bolster confidence for pregnant persons, providers, and policymakers in the importance of COVID-19 vaccination for this group despite the end of the public health emergency.

National COVID-19 preparedness and response plans: a global review from the perspective of services for maternal, newborn, child and adolescent health and older people

IntroductionInfectious disease outbreaks have historically led to widespread disruptions in routine essential health services. Disruptions due to COVID-19 responses led to excess deaths, including among women and children. This review...

Integrating wastewater and randomised prevalence survey data for national COVID surveillance

During the COVID-19 pandemic, studies in a number of countries have shown how wastewater can be used as an efficient surveillance tool to detect outbreaks at much lower cost than traditional prevalence surveys. In this study, we consider the utilisation of wastewater data in the post-pandemic setting, in which collection of health data via national randomised prevalence surveys will likely be run at a reduced scale; hence an affordable ongoing surveillance system will need to combine sparse prevalence data with non-traditional disease metrics such as wastewater measurements in order to estimate disease progression in a cost-effective manner. Here, we use data collected during the pandemic to model the dynamic relationship between spatially granular wastewater viral load and disease prevalence. We then use this relationship to nowcast local disease prevalence under the scenario that (i) spatially granular wastewater data continue to be collected; (ii) direct measurements of prevalence are only available at a coarser spatial resolution, for example at national or regional scale. The results from our cross-validation study demonstrate the added value of wastewater data in improving nowcast accuracy and reducing nowcast uncertainty. Our results also highlight the importance of incorporating prevalence data at a coarser spatial scale when nowcasting prevalence at fine spatial resolution, calling for the need to maintain some form of reduced-scale national prevalence surveys in non-epidemic periods. The model framework is disease-agnostic and could therefore be adapted to different diseases and incorporated into a multiplex surveillance system for early detection of emerging local outbreaks.

Comparison of WHO versus national COVID-19 therapeutic guidelines across the world: not exactly a perfect match

BackgroundThe COVID-19 pandemic affected all WHO member states. We compared and contrasted the COVID-19 treatment guidelines of each member state with the WHO COVID-19 therapeutic guidelines.MethodsMinistries of Health or accessed...

Prevalence and impact of SARS-CoV-2 infection among patients with acute ischaemic stroke: a nationwide register-based cohort study in Denmark

ObjectivesAn increased risk of stroke has been reported among patients with COVID-19 caused by SARS-CoV-2. We aimed to investigate the nationwide prevalence of SARS-CoV-2 among patients with acute ischaemic stroke...

COVID-19: a narrative review of the national COVID-19 guidelines in Africa

COVID-19: a narrative review of the national COVID-19 guidelines in Africa

The impact of policy and policy communication on COVID-19 vaccination inequalities among Venezuelan refugees and migrants in Colombia: a comparative cross-sectional interrupted time-series analysis

IntroductionEquitable access to vaccines for migrants and refugees is necessary to ensure their right to health and to achieve public health goals of reducing vaccine-preventable illness. Public health policies require...

Comparing COVID-19 severity in patients hospitalized for community-associated Delta, BA.1 and BA.4/5 variant infection.

Despite decreasing COVID-19 disease severity during the Omicron waves, a proportion of patients still require hospitalization and intensive care. To compare demographic characteristics, comorbidities, vaccination status, and previous infections in patients hospitalized for community-associated COVID-19 (CAC) in predominantly Delta, Omicron BA.1 and BA.4/5 SARS-CoV-2 waves. Data were extracted from three national databases-the National COVID-19 Database, National Vaccination Registry and National Registry of Hospitalizations. Among the hospitalized CAC patients analyzed in this study, 5,512 were infected with Delta, 1,120 with Omicron BA.1, and 1,143 with the Omicron BA.4/5 variant. The age and sex structure changed from Delta to BA.4/5, with the proportion of women (9.5% increase), children and adolescents (10.4% increase), and octa- and nonagenarians increasing significantly (24.5% increase). Significantly more patients had comorbidities (measured by the Charlson Comorbidity Index), 30.3% in Delta and 43% in BA.4/5 period. The need for non-invasive ventilatory support (NiVS), ICU admission, mechanical ventilation (MV), and in-hospital mortality (IHM) decreased from Delta to Omicron BA.4/5 period for 12.6, 13.5, 11.5, and 6.3%, respectively. Multivariate analysis revealed significantly lower odds for ICU admission (OR 0.68, CI 0.54-0.84, p < 0.001) and IHM (OR 0.74, CI 0.58-0.93, p = 0.011) during the Delta period in patients who had been fully vaccinated or boosted with a COVID-19 vaccine within the previous 6 months. In the BA.1 variant period, patients who had less than 6 months elapsed between the last vaccine dose and SARS-CoV-2 positivity had lower odds for MV (OR 0.38, CI 0.18-0.72, p = 0.005) and IHM (OR 0.56, CI 0.37- 0.83, p = 0.005), but not for NIVS or ICU admission. The likelihood of developing severe CAC in hospitalized patients was higher in those with the Delta and Omicron BA.1 variant compared to BA.4/5.