Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C).

Individually, the COVID-19 and HIV pandemics have differentially impacted minoritized groups due to the role of social determinants of health (SDoH) in the U.S. Little is known how the collision of these two pandemics may have exacerbated adverse health outcomes. We evaluated county-level SDoH and associations with hospitalization after a COVID-19 diagnosis among people with (PWH) and without HIV (PWOH) by racial/ethnic groups. We used the U.S. National COVID Cohort Collaborative (January 2020-November 2023), a nationally-sampled electronic health record repository, to identify adults who were diagnosed with COVID-19 with HIV (n = 22,491) and without HIV (n = 2,220,660). We aggregated SDoH measures at the county-level and categorized racial/ethnic groups as Non-Hispanic (NH) White, NH-Black, Hispanic/Latinx, NH-Asian and Pacific Islander (AAPI), and NH-American Indian or Alaskan Native (AIAN). To estimate associations of county-level SDoH with hospitalization after a COVID-19 diagnosis, we used multilevel, multivariable logistic regressions, calculating adjusted relative risks (aRR) with 95% confidence intervals (95% CI). COVID-19 related hospitalization occurred among 11% of PWH and 7% of PWOH, with the highest proportion among NH-Black PWH (15%). In evaluating county-level SDoH among PWH, we found higher average household size was associated with lower risk of COVID-19 related hospitalization across racial/ethnic groups. Higher mean commute time (aRR: 1.76; 95% CI 1.10-2.62) and higher proportion of adults without health insurance (aRR: 1.40; 95% CI 1.04-1.84) was associated with a higher risk of COVID-19 hospitalization among NH-Black PWH, however, NH-Black PWOH did not demonstrate these associations. Differences by race and ethnicity exist in associations of adverse county-level SDoH with COVID-19 outcomes among people with and without HIV in the U.S.

Depression, worry, and loneliness are associated with subsequent risk of hospitalization for COVID-19: a prospective study.

BACKGROUND: Pre-pandemic psychological distress is associated with increased susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but associations with the coronavirus disease 2019 (COVID-19) severity are not established. The authors examined the associations between distress prior to SARS-CoV-2 infection and subsequent risk of hospitalization. METHODS: Between April 2020 (baseline) and April 2021, we followed 54 781 participants from three ongoing cohorts: Nurses' Health Study II (NHSII), Nurses' Health Study 3 (NHS3), and the Growing Up Today Study (GUTS) who reported no current or prior SARS-CoV-2 infection at baseline. Chronic depression was assessed during 2010-2019. Depression, anxiety, worry about COVID-19, perceived stress, and loneliness were measured at baseline. SARS-CoV-2 infection and hospitalization due to COVID-19 was self-reported. Relative risks (RRs) were calculated by Poisson regression. RESULTS: 3663 participants reported a positive SARS-CoV-2 test (mean age = 55.0 years, standard deviation = 13.8) during follow-up. Among these participants, chronic depression prior to the pandemic [RR = 1.72; 95% confidence interval (CI) 1.20-2.46], and probable depression (RR = 1.81, 95% CI 1.08-3.03), being very worried about COVID-19 (RR = 1.79; 95% CI 1.12-2.86), and loneliness (RR = 1.81, 95% CI 1.02-3.20) reported at baseline were each associated with subsequent COVID-19 hospitalization, adjusting for demographic factors and healthcare worker status. Anxiety and perceived stress were not associated with hospitalization. Depression, worry about COVID-19, and loneliness were as strongly associated with hospitalization as were high cholesterol and hypertension, established risk factors for COVID-19 severity. CONCLUSIONS: Psychological distress may be a risk factor for hospitalization in patients with SARS-CoV-2 infection. Assessment of psychological distress may identify patients at greater risk of hospitalization. Future work should examine whether addressing distress improves physical health outcomes.

Risk of Severe Coronavirus Disease 2019 Disease in Individuals With Down Syndrome: A Matched Cohort Study From a Large, Integrated Health Care System.

BACKGROUND: Down syndrome (DS) is associated with an increased risk of infections attributed to immune defects. Whether individuals with DS are at an increased risk of severe coronavirus disease 2019 (COVID-19) remains unclear. METHODS: In a matched cohort study, we evaluated the risk of COVID-19 infection and severe COVID-19 disease in individuals with DS and their matched counterparts in a pre-COVID-19 vaccination period at Kaiser Permanente Southern California. Multivariable Cox proportion hazard regression was used to investigate associations between DS and risk of COVID-19 infection and severe COVID-19 disease. RESULTS: Our cohort included 2541 individuals with DS and 10 164 without DS matched on age, sex, and race/ethnicity (51.6% female, 53.3% Hispanic, median age 25 years [interquartile range, 14-38]). Although the rate of COVID-19 infection in individuals with DS was 32% lower than their matched counterparts (adjusted hazard ratio [aHR], 0.68; 95% confidence interval [CI], .56-.83), the rate of severe COVID-19 disease was 6-fold higher (aHR, 6.14; 95% CI, 1.87-20.16). CONCLUSIONS: Although the risk of COVID-19 infection is lower, the risk of severe disease is higher in individuals with DS compared with their matched counterparts. Better infection monitoring, early treatment, and promotion of vaccine for COVID-19 are warranted for DS populations.

Pressure on the Health-Care System and Intensive Care Utilization During the COVID-19 Outbreak in the Lombardy Region of Italy: A Retrospective Observational Study in 43,538 Hospitalized Patients.

During the spring of 2020, the coronavirus disease 2019 (COVID-19) epidemic caused an unprecedented demand for intensive-care resources in the Lombardy region of Italy. Using data on 43,538 hospitalized patients admitted between February 21 and July 12, 2020, we evaluated variations in intensive care unit (ICU) admissions and mortality over the course of 3 periods: the early phase of the pandemic (February 21-March 13), the period of highest pressure on the health-care system (March 14-April 25, when numbers of COVID-19 patients exceeded prepandemic ICU bed capacity), and the declining phase (April 26-July 12). Compared with the early phase, patients aged 70 years or more were less often admitted to an ICU during the period of highest pressure on the health-care system (odds ratio (OR) = 0.47, 95% confidence interval (CI): 0.41, 0.54), with longer ICU delays (incidence rate ratio = 1.82, 95% CI: 1.52, 2.18) and lower chances of dying in the ICU (OR = 0.47, 95% CI: 0.34, 0.64). Patients under 56 years of age had more limited changes in the probability of (OR = 0.65, 95% CI: 0.56, 0.76) and delay to (incidence rate ratio = 1.16, 95% CI: 0.95, 1.42) ICU admission and increased mortality (OR = 1.43, 95% CI: 1.00, 2.07). In the declining phase, all quantities decreased for all age groups. These patterns may suggest that limited health-care resources during the peak phase of the epidemic in Lombardy forced a shift in ICU admission criteria to prioritize patients with higher chances of survival.

High vaccine effectiveness against severe COVID-19 in the elderly in Finland before and after the emergence of Omicron.

BACKGROUND: The elderly are highly vulnerable to severe COVID-19. Waning immunity and emergence of Omicron have caused concerns about reduced effectiveness of COVID-19 vaccines. The objective was to estimate vaccine effectiveness (VE) against severe COVID-19 among the elderly. METHODS: This nationwide, register-based cohort analysis included all residents aged 70 years and over in Finland. The follow-up started on December 27, 2020, and ended on March 31, 2022. The outcomes of interest were COVID-19-related hospitalization and intensive care unit (ICU) admission timely associated with SARS-CoV-2 infection. VE was estimated as one minus the hazard ratio comparing the vaccinated and unvaccinated and taking into account time since vaccination. Omicron-specific VE was evaluated as the effectiveness observed since January 1, 2022. RESULTS: The cohort included 896,220 individuals. Comirnaty (BioNTech/Pfizer) VE against COVID-19-related hospitalization was 93% (95% CI 89-95%) and 85% (95% CI 82-87%) 14-90 and 91-180 days after the second dose; VE increased to 95% (95% CI 94-96%) 14-60 days after the third dose. VE of other homologous and heterologous three dose series was similar. Protection against severe COVID-19 requiring ICU treatment was even better. Since January 1, 2022, Comirnaty VE was 98% (95% CI 92-99%) and 92% (95% CI 87-95%) 14-90 and 91-180 days after the second and 98% (95% CI 95-99%) 14-60 days after the third dose. CONCLUSIONS: VE against severe COVID-19 is high among the elderly. It waned slightly after two doses, but a third restored the protection. VE against severe COVID-19 remained high even after the emergence of Omicron.

Air pollution and the pandemic: Long-term PM2.5 exposure and disease severity in COVID-19 patients.

BACKGROUND AND OBJECTIVE: Ecological studies have suggested an association between exposure to particulate matter ≤2.5 µm (PM2.5 ) and coronavirus disease 2019 (COVID-19) severity. However, these findings are yet to be validated in individual-level studies. We aimed to determine the association of long-term PM2.5 exposure with hospitalization among individual patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: We estimated the 10-year (2009-2018) PM2.5 exposure at the residential zip code of COVID-19 patients diagnosed at the University of Cincinnati healthcare system between 13 March 2020 and 30 September 2020. Logistic regression was used to determine the odds ratio (OR) and 95% CI for COVID-19 hospitalizations associated with PM2.5 , adjusting for socioeconomic characteristics and comorbidities. RESULTS: Among the 14,783 COVID-19 patients included in our study, 13.6% were hospitalized; the geometric mean (SD) PM2.5 was 10.48 (1.12) µg/m3 . In adjusted analysis, 1 µg/m3 increase in 10-year annual average PM2.5 was associated with 18% higher hospitalization (OR: 1.18, 95% CI: 1.11-1.26). Likewise, 1 µg/m3 increase in PM2.5 estimated for the year 2018 was associated with 14% higher hospitalization (OR: 1.14, 95% CI: 1.08-1.21). CONCLUSION: Long-term PM2.5 exposure is associated with increased hospitalization in COVID-19. Therefore, more stringent COVID-19 prevention measures may be needed in areas with higher PM2.5 exposure to reduce the disease morbidity and healthcare burden.

Immunosuppressive Medications and COVID-19 Outcomes in Patients with Noninfectious Uveitis in the Era of COVID-19 Vaccinations.

Purpose: To determine the risk of coronavirus disease 2019 (COVID-19) infection, hospitalization, and death in the era of COVID-19 vaccination among patients with noninfectious uveitis (NIU) taking immunosuppressive therapies. Design: Retrospective cohort study from July 1, 2021, to June 30, 2022, using data from the Optum Labs Data Warehouse (OLDW) de-identified claims database. Participants: Patients with a diagnosis of NIU from January 1, 2017, and who had ≥ 1 year of continuous enrollment in the OLDW. Methods: Incidence rates (IRs) were calculated for each COVID-19 outcome. Unadjusted and adjusted hazard ratios (HRs) were estimated for each variable and COVID-19 outcome using Cox proportional hazards models with time-updated dichotomous indicators for outpatient immunosuppressive medication exposure. To assess the dose-dependent effect of systemic corticosteroid (SC) exposure, the average daily dose of prednisone over the exposed interval was included in the adjusted models. Main Outcome Measures: Hazard ratios and IRs for COVID-19 infection, hospitalization, and death. Results: This study included 62 209 patients with NIU. A total of 12 895 (20.7%) were exposed to SCs during the risk period. Incidence rates were increased when exposed to SCs versus unexposed for all COVID-19 outcomes. Incidence rates were also increased for all COVID-19 outcomes when exposed to SCs without COVID-19 vaccination versus exposed to SCs with ≥ 1 vaccination. In adjusted models, SCs were associated with increased risk of COVID-19 infection (HR, 3.57; 95% confidence interval [CI], 3.24-3.93; P < 0.0001), hospitalization (HR, 2.75; 95% CI, 2.07-3.65; P < 0.0001), and death (HR, 2.49; 95% CI 1.29-4.82; P = 0.007). Incremental increases in SC dose were associated with a greater risk for all outcomes. Disease-modifying anti-rheumatic drugs were associated with a decreased risk of infection (HR, 0.84; 95% CI, 0.74-0.96; P = 0.01), and tumor necrosis factor-α inhibitors were associated with an increased risk of infection (HR, 1.18; 95% CI, 1.01-1.39; P = 0.04). Conclusions: Systemic corticosteroid exposure continues to be associated with greater risk of COVID-19 infection, hospitalization, and death among patients with NIU in an era of widespread COVID-19 vaccination. Unvaccinated individuals who are exposed to immunosuppressive treatments have a greater risk of severe outcomes. Coronavirus disease 2019 vaccination should be strongly encouraged in these patients. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Secretory IgA and course of COVID-19 in patients receiving a bacteria-based immunostimulant agent in addition to background therapy.

Mucosal immunity plays a major role not only in the prevention but probably also in the outcomes of COVID-19. An enhanced production of secretory immunoglobulin A (sIgA) might contribute to the activation of the immune response mechanisms. To assess the levels of sIgA produced by epithelial cells in the nasal and pharyngeal mucosa and those measured in salivary gland secretions and to study the course of COVID-19 following the combined scheme of intranasal and subcutaneous administration of a bacteria-based immunostimulant agent. This study included 69 patients, aged between 18 and 60, who had moderate COVID-19 infection. They were divided into two groups: Group 1 (control group) included 39 patients who received only background therapy, and Group 2 was made up of 30 patients who received background therapy in combination with the Immunovac VP4 vaccine, a bacteria-based immunostimulant agent, which was given for 11 days starting from the day of admission to hospital. The levels of sIgA were measured by ELISA in epithelial, nasal and pharyngeal swabs, and salivary gland secretions at baseline and on days 14 and 30. The combined scheme of intranasal and subcutaneous administration of the Immunovac VP4 vaccine in the complex therapy of patients with COVID-19 is accompanied by increased synthesis of sIgA in nasal and pharyngeal swabs, more intense decrease in the level of C-reactive protein (CRP) and reduction in the duration of fever and length of hospitalization compared to the control group. Prescribing a immunostimulant agent containing bacterial ligands in complex therapy for COVID-19 patients helps to enhance mucosal immunity and improves the course of the disease.

Long-Term Post-COVID-19 Health and Psychosocial Effects and Coping Resources Among Survivors of Severe and Critical COVID-19 in Central and Eastern Europe: Protocol for an International Qualitative Study.

BACKGROUND: There is a strong need to determine pandemic and postpandemic challenges and effects at the individual, family, community, and societal levels. Post-COVID-19 health and psychosocial effects have long-lasting impacts on the physical and mental health and quality of life of a large proportion of survivors, especially survivors of severe and critical COVID-19, extending beyond the end of the pandemic. While research has mostly focused on the negative short- and long-term effects of COVID-19, few studies have examined the positive effects of the pandemic, such as posttraumatic growth. It is essential to study both negative and positive long-term post-COVID-19 effects and to acknowledge the role of the resources available to the individual to cope with stress and trauma. This knowledge is especially needed in understudied regions hit hard by the pandemic, such as the region of Central and Eastern Europe. A qualitative approach could provide unique insights into the subjective perspectives of survivors on their experiences with severe COVID-19 disease and its lingering impact on their lives. OBJECTIVE: The aim of the study is to qualitatively explore the experiences of adult survivors of severe or critical COVID-19 throughout the acute and postacute period in 5 Central and Eastern European countries (Bulgaria, Slovakia, Croatia, Romania, and Poland); gain insight into negative (post-COVID-19 condition and quality of life) and positive (posttraumatic growth) long-term post-COVID effects; and understand the role of survivors' personal, social, and other coping resources and local sociocultural context and epidemic-related situations. METHODS: This is a qualitative thematic analysis study with an experiential reflexive perspective and inductive orientation. The analytical approach involves 2-stage data analysis: national analyses in stage 1 and international analysis in stage 2. Data are collected from adult survivors of severe and critical COVID-19 through in-depth semistructured interviews conducted in the period after hospital discharge. RESULTS: As of the publication of this paper, data collection is complete. The total international sample includes 151 survivors of severe and critical COVID-19: Bulgaria (n=33, 21.8%), Slovakia (n=30, 19.9%), Croatia (n=30, 19.9%), Romania (n=30, 19.9%), and Poland (n=28, 18.5%). National-level qualitative thematic analysis is currently underway, and several papers based on national results have been published. Cross-national analysis has started in 2024. The results will be submitted for publication in the third and fourth quarters of 2024. CONCLUSIONS: This research emphasizes the importance of a deeper understanding of the ongoing health and psychosocial challenges survivors face and what helps them cope with these challenges and, in some cases, thrive. It has implications for informing holistic care and improving the health and psychosocial outcomes of survivors of COVID-19 and will be crucial for evaluating the overall impact and multifaceted implications of the pandemic and for informing future pandemic preparedness. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57596.

Patient Perceptions of their COVID-19 Inpatient Hospital Experience: a Survey Exploring Inequities in Healthcare Delivery.

BACKGROUND: Compared with White patients, Black and Latinx patients have higher infection, hospitalization, and mortality rates from COVID-19; yet, little is known about their perspective before, during, and after a COVID-19 hospitalization. The objective of this study conducted in White, Black, and Latinx patients was to assess perceptions of their COVID-19-related hospitalization from onset of symptoms through the post-discharge period to identify disparities in their perceived care. METHODS: A cross-sectional observational study using an online survey from May 19 to June 23, 2021, was conducted by The Harris Poll in 200 White, 200 Black, and 201 Latinx patients hospitalized for COVID-19 in the US. Main measures obtained included baseline demographic variables, socioeconomic status, and social determinants of health. Survey questions were specific to key aspects of the patient experience before, during, and after a COVID-19-related hospitalization. RESULTS: Compared with White patients, Latinx and Black patients faced unique challenges in their healthcare journey including higher likelihood of delaying their hospitalization (10% Black vs. 4% White patients, respectively, P = 0.025), lower perceived satisfaction with care (82% Latinx vs 91% White patients, P = 0.002), and lower trust in providers following their hospitalization (85% White vs. 65% Latinx [P = 0.027] and 73% Black [P = 0.050] patients). CONCLUSIONS: Patient perceptions of their COVID-19 hospitalization experience revealed disparities in perceived quality of care among minority groups. These findings offer insights that health inequities still exist, and strategies need to be taken to make health care delivery more equitable.

Hospitalizations for COVID-19 Among American Indian and Alaska Native Adults (≥ 18 Years Old) - New Mexico, March-September 2020.

To assess the presence of racial disparity during the COVID-19 pandemic, the New Mexico Department of Health (NMDOH) sought to compare the case rate and risk of hospitalization between persons of American Indian and Alaska Native (AI/AN) race and persons of other races in New Mexico from March 1 through September 30, 2020. Using NMDOH COVID-19 surveillance data, age-standardized COVID-19 case and hospitalization risks were compared between adults (≥ 18 years old) of AI/AN and other races. We compared age, sex, and comorbidities between hospitalized adults of AI/AN and other races. Among AI/AN persons, age-standardized COVID-19 case and hospitalization risks were 3.7 (95% CI 3.6-3.8) and 10.5 (95% CI 9.8-11.2) times as high as persons of other races. Hospitalized AI/AN patients had higher proportions of diabetes mellitus (48% vs. 33%, P < 0.0001) and chronic liver disease (8% vs. 5%, P = 0.0004) compared to hospitalized patients of other races. AI/AN populations have disproportionately higher risk of COVID-19 hospitalization compared to other races in New Mexico. By identifying etiologic factors that contribute to inequity, public health partners can implement culturally appropriate health interventions to mitigate disease severity within AI/AN communities.

Trends in disparities in COVID hospitalizations among community-dwelling residents of two counties in Connecticut, before and after vaccine introduction, March 2020-September 2021.

BACKGROUND: Prior to the introduction of vaccines, COVID-19 hospitalizations of non-institutionalized persons in Connecticut disproportionately affected communities of color and individuals of low socioeconomic status (SES). Whether the magnitude of these disparities changed 7-9 months after vaccine rollout during the Delta wave is not well documented. METHODS: All initially hospitalized patients with laboratory-confirmed COVID-19 during July-September 2021 were obtained from the Connecticut COVID-19-Associated Hospitalization Surveillance Network database, including patients' geocoded residential addresses. Census tract measures of poverty and crowding were determined by linking geocoded residential addresses to the 2014-2018 American Community Survey. Age-adjusted incidence and relative rates of COVID-19 hospitalization were calculated and compared with those from July to December 2020. Vaccination levels by age and race/ethnicity at the beginning and end of the study period were obtained from Connecticut's COVID vaccine registry, and age-adjusted average values were determined. RESULTS: There were 708 COVID-19 hospitalizations among community residents of the two counties, July-September 2021. Age-adjusted incidence was the highest among non-Hispanic Blacks and Hispanic/Latinx compared with non-Hispanic Whites (RR 4.10 [95% CI 3.41-4.94] and 3.47 [95% CI 2.89-4.16]). Although RR decreased significantly among Hispanic/Latinx and among the lowest SES groups, it increased among non-Hispanic Blacks (from RR 3.2 [95% CI 2.83-3.32] to RR 4.10). Average age-adjusted vaccination rates among those ≥12 years were the lowest among non-Hispanic Blacks compared with Hispanic/Latinx and non-Hispanic Whites (50.6% vs. 64.7% and 66.6%). CONCLUSIONS: Although racial/ethnic and SES disparities in COVID-19 hospitalization have mostly decreased over time, disparities among non-Hispanic Blacks increased, possibly due to differences in vaccination rates.

Glucocorticoid Therapy in COVID-19-Induced Organizing Pneumonia: A Rare Occurrence.

Background Although the incidence of post-COVID-19 organizing pneumonia (OP) is low, the mortality and morbidity in select patients appear to be high. Anticipating specific populations who may be at higher risk and initiating treatment earlier could reduce mortality. Research question Does treatment with high dose, standard dose, or no glucocorticoids for COVID-19 infection impact the incidence and clinical outcome in COVID-19-induced OP? Study design and methods This was a single-center, retrospective, observational cohort study conducted from 03/01/2020 to 06/30/2021 in hospitalized patients over the age of 18 with confirmed COVID-19 infection and computed tomography (CT) scan evidence of OP. Institutional review board (IRB) approval was obtained from the institution (STUDY00002241). Patients' demographics and oxygen requirements at the time of diagnosis, at the time of discharge, and at one, three, six, 10, and 12 months post-discharge were obtained. The dose, duration, and choice of glucocorticoid therapy were recorded for each subject, as well as oxygen requirements during hospitalization. Despite radiological evidence of OP, patients on minimal supplemental oxygen requirements did not receive high-dose or long-duration glucocorticoid therapy. Results A total of 881 patients were admitted with COVID-19, of which 42 met the study criteria. Three patients underwent a lung biopsy to confirm the diagnosis of organizing pneumonia. All other patients were diagnosed based on CT imaging and clinical presentation. Of the patients, 17% did not receive any steroid treatment, while 36% received dexamethasone and 43% received prednisone. The most common oxygen requirement at the time of discharge for steroid-treated patients was nasal cannula (55%) and room air (29%). The incidence of OP in this patient population was 0.05 with a mortality rate of 14%. Interpretation and relevance The incidence of post-COVID-19 OP appears to be lower than anticipated. Steroids for patients on lower supplemental oxygen requirements were discontinued although they had radiological evidence of OP. Patients who were on higher supplemental oxygen requirements at 10 days were continued on steroids regardless of imaging. The decision to continue steroids should be based on individual patient characteristics such as oxygen requirements. In the future, larger multicenter cohort studies would help understand further treatment of post-COVID-19-associated OP. Anticipating specific populations who may be at higher risk and starting treatment earlier could help reduce mortality.

Application of machine learning models to identify serological predictors of COVID-19 severity and outcomes.

Critically ill people with COVID-19 have greater antibody titers than those with mild to moderate illness, but their association with recovery or death from COVID-19 has not been characterized. In 178 COVID-19 patients, 73 non-hospitalized and 105 hospitalized patients, mucosal swabs and plasma samples were collected at hospital enrollment and up to 3 months post-enrollment (MPE) to measure virus RNA, cytokines/chemokines, binding antibodies, ACE2 binding inhibition, and Fc effector antibody responses against SARS-CoV-2. The association of demographic variables and >20 serological antibody measures with intubation or death due to COVID-19 was determined using machine learning algorithms. Predictive models revealed that IgG binding and ACE2 binding inhibition responses at 1 MPE were positively and C1q complement activity at enrollment was negatively associated with an increased probability of intubation or death from COVID-19 within 3 MPE. Serological antibody measures were more predictive than demographic variables of intubation or death among COVID-19 patients.

Breakthrough infections, hospital admissions, and mortality after major COVID-19 vaccination profiles: A prospective cohort study.

Background: Several COVID-19 vaccination rollout strategies are implemented. Real-world data from the large-scale, government-mandated Central Vaccination Center (CVC), Thailand, could be used for comparing the breakthrough infection, across all available COVID-19 vaccination profiles. Methods: This prospective cohort study combined the vaccine profiles from the CVC registry with three nationally validated outcome datasets to assess the breakthrough COVID-19 infection, hospitalization, and death among Thais individuals who received at least one dose of the COVID-19 vaccine. The outcomes were analyzed by comparing vaccine profiles to investigate the shot effect and homologous effect. Findings: Of 2,407,315 Thais who had at least one dose of COVID-19 vaccine, 63,469 (2.75%) had breakthrough infection, 42,001 (1.79%) had been hospitalized, and 431 (0.02%) died. Per one vaccination shot added, there was an 18% risk reduction of breakthrough infection (adjusted hazard ratio [HR] 0.82, 95% confidence interval [CI] 0.80-0.82), a 25% risk reduction of hospitalization (HR 0.75, 95% CI 0.73-0.76), and a 96% risk reduction of mortality (HR 0.04, 95% CI 0.03-0.06). The heterologous two-shot vaccine profiles had a higher protective effect against infection, hospitalization, and mortality compared to the homologous counterparts. Interpretation: COVID-19 breakthrough infection, hospitalization, and death differ across vaccination profiles that had a different number of shots and types of vaccines. Funding: This study did not involve any funding.

Association of Treatment with Remdesivir and 30-day Hospital Readmissions in Patients Hospitalized with COVID-19.

BACKGROUND: Since the beginning of COVID-19 pandemic, there has been a widespread use of remdesivir in adults and children. There is little known information about remdesivir's role in reducing 30-day readmissions after hospitalization with COVID-19. This study aimed to determine whether treatment with remdesivir was associated with reduced risk of 30-day readmission after index hospitalization with COVID-19. METHODS: The study was a multi-center cohort study in Rhode Island, USA. Patients included all adults that were discharged after hospital treatment for COVID-19 between April 1st and December 31st, 2020. The main study outcomes were length of hospital stay, 30-day readmission, and post-discharge 30 days mortality. RESULTS: A total of 2,062 patients (2,279 hospitalizations) were included in the analytic sample. Patients were less likely to be readmitted within 30 days if they received remdesivir relative to not receiving remdesivir; associations were strongest for those with mild disease (RR: 0.31; 95% CI: 0.13,0.75). Remdesivir treatment was associated with reduction in all-cause mortality (HR: 0.65; 95% CI: 0.49,0.85) and an increase in length of stay (estimated average increase of 3.27 days; 95% CI: 2.11,4.44). LIMITATION: Unmeasured factors such as time-to-treatment and severity of disease prior to initiation of remdesivir. CONCLUSIONS: Remdesivir may be an effective strategy for reducing progression to severe COVID-19 disease and limiting morbidity associated with readmission to hospital. Larger prospective studies are justified to study the role of remdesivir in mild or early COVID-19 with high risk of disease progression and readmission to hospital within 30 days.

Persistence of racial/ethnic and socioeconomic status disparities among non-institutionalized patients hospitalized with COVID-19 in Connecticut, July to December 2020.

BACKGROUND: COVID-19 hospitalizations of non-institutionalized persons during the first COVID-19 wave in Connecticut disproportionately affected the elderly, communities of color, and individuals of low socioeconomic status (SES). Whether the magnitude of these disparities changed after the initial lockdown and before vaccine rollout is not well documented. METHODS: All first-time hospitalizations with laboratory-confirmed COVID-19 during July to December 2020, including patients' geocoded residential addresses, were obtained from the Connecticut Department of Public Health. Those living in congregate settings, including nursing homes, were excluded. Community-dwelling patients were assigned census tract-level poverty and crowding measures from the 2014-2018 American Community Survey by linking their geocoded addresses to census tracts. Age-adjusted incidence and relative rates were calculated across demographic and SES measures and compared with those from a similar analysis of hospitalized cases during the initial wave. RESULTS: During July to December 2020, there were 5652 COVID-19 hospitalizations in community residents in Connecticut. Incidence was highest among those >85 years, non-Hispanic Blacks and Hispanic/Latinx compared with non-Hispanic Whites {relative rate (RR) 3.1 (95% confidence interval [CI] 2.83-3.32) and 5.9 (95% CI 5.58-6.28)}, and persons living in high poverty and high crowding census tracts. Although racial/ethnic and SES disparities during the study period were substantial, they were significantly decreased compared with the first wave of COVID-19. CONCLUSIONS: The finding of persistent, if reduced, large racial/ethnic disparities in COVID-19 hospitalizations 2-7 months after the initial lockdown was relaxed and before vaccination was widely available is of concern. These disparities cause a challenge to achieving health equity and are relevant for future pandemic planning.

Genome-wide screening of sex-biased genetic variants potentially associated with COVID-19 hospitalization.

Sex-biased difference in coronavirus disease 2019 (COVID-19) hospitalization has been observed as that male patients tend to be more likely to be hospitalized than female patients. However, due to the insufficient sample size and existed studies that more prioritized to sex-stratified COVID-19 genome-wide association study (GWAS), the searching for sex-biased genetic variants showing differential association signals between sexes with COVID-19 hospitalization was severely hindered. We hypothesized genetic variants would show potentially sex-biased genetic effects on COVID-19 hospitalization if they display significant differential association effect sizes between male and female COVID-19 patients. By integrating two COVID-19 GWASs, including hospitalized COVID-19 patients vs. general population separated into males (case = 1,917 and control = 221,174) and females (case = 1,343 and control = 262,886), we differentiated the association effect sizes of each common single nucleotide polymorphism (SNP) within the two GWASs. Twelve SNPs were suggested to show differential COVID-19 associations between sexes. Further investigation of genes (n = 58) close to these 12 SNPs resulted in the identification of 34 genes demonstrating sex-biased differential expression in at least one GTEx tissue. Finally, 5 SNPs are mapped to 8 genes, including rs1134004 (GADD45G), rs140657166 (TRIM29 and PVRL1), rs148143613 (KNDC1 and STK32C), rs2443615 (PGAP2 and TRIM21), and rs2924725 (CSMD1). The 8 genes display significantly differential gene expression in blood samples derived from COVID-19 patients compared to healthy controls. These genes are potential genetic factors contributing to sex differences in COVID-19 hospitalization and warranted for further functional studies.

Early Oxygen Treatment Measurements Can Predict COVID-19 Mortality: A Preliminary Study.

Halting the rapid clinical deterioration, marked by arterial hypoxemia, is among the greatest challenges clinicians face when treating COVID-19 patients in hospitals. While it is clear that oxygen measures and treatment procedures describe a patient's clinical condition at a given time point, the potential predictive strength of the duration and extent of oxygen supplementation methods over the entire course of hospitalization for a patient death from COVID-19 has yet to be assessed. In this study, we aim to develop a prediction model for COVID-19 mortality in hospitals by utilizing data on oxygen supplementation modalities of patients. We analyzed the data of 545 patients hospitalized with COVID-19 complications admitted to Assuta Ashdod Medical Center, Israel, between 7 March 2020, and 16 March 2021. By solely analyzing the daily data on oxygen supplementation modalities in 182 random patients, we could identify that 75% (9 out of 12) of individuals supported by reservoir oxygen masks during the first two days died 3-30 days following hospital admission. By contrast, the mortality rate was 4% (4 out of 98) among those who did not require any oxygenation supplementation. Then, we combined this data with daily blood test results and clinical information of 545 patients to predict COVID-19 mortality. Our Random Forest model yielded an area under the receiver operating characteristic curve (AUC) score on the test set of 82.5%, 81.3%, and 83.0% at admission, two days post-admission, and seven days post-admission, respectively. Overall, our results could essentially assist clinical decision-making and optimized treatment and management for COVID-19 hospitalized patients with an elevated risk of mortality.

Disease Severity in Vaccinated Adults Hospitalized with Breakthrough COVID-19.

Background: Vaccination against SARS-CoV-2 is widely used and confers protection against morbidity and mortality in COVID-19. Little is known about disease severity and outcomes in fully vaccinated patients during hospitalization for COVID-19. Aim: To determine whether vaccination status and time from vaccination-to-hospitalization impacted disease severity in patients admitted with COVID-19. Methods: A multicenter retrospective cohort study was conducted on hospitalized adults with COVID-19 between January 1 and September 8, 2021, in Rhode Island, USA. Vaccination status and markers of disease severity, including C-reactive protein, D-Dimer values, and supplemental oxygen use during hospitalization, were obtained. Results: Two thousand three hundred forty-four patients were included. For every vaccinated patient, three unvaccinated patients were matched for a total of 424 patients in the analytic sample. Vaccinated patients had lower peak C-reactive protein (beta = -39.10, 95% CI [-79.10, -0. 65]) and supplemental oxygen requirements (beta = -38.14, 95% CI [-61.62, -9.91]) compared to unvaccinated patients. Patients who had a greater discrepancy between date of vaccination and admission had higher C-reactive protein (beta = 0.37, 95% CI [0.02, 0.71]) and supplemental oxygen requirements (beta = 0.44, 95% CI [0.15, 0.75]. Conclusion: Vaccination against SARS-CoV-2 was associated with a protective effect on disease severity during hospitalization for breakthrough COVID-19. Time elapsed since vaccination was associated with indicators of greater disease severity suggestive of waning protection over time.