Racial disparities in COVID-19 outcomes exist despite comparable Elixhauser comorbidity indices between Blacks, Hispanics, Native Americans, and Whites

Epidemiology, clinical features and outcomes of hospitalized patients with COVID-19 by vaccination status: a multicenter historical cohort study

INTRODUCTION

COVID-19 disease resulted in over six million deaths worldwide. Although vaccines against SARS-CoV-2 demonstrated efficacy, breakthrough infections became increasingly common. There is still a lack of data regarding the severity and outcomes of COVID-19 among vaccinated compared to unvaccinated individuals.

METHODS

This was a historical cohort study of adult COVID-19 patients hospitalized in five Ascension hospitals in southeast Michigan. Electronic medical records were reviewed. Vaccine information was collected from the Michigan Care Improvement Registry. Data were analyzed using Student's t-test, analysis of variance, the chi-squared test, the Mann-Whitney and Kruskal-Wallis tests, and multivariable logistic regression.

RESULTS

Of 341 patients, the mean age was 57.9 ± 18.3 years, 54.8% (187/341) were female, and 48.7% (166/341) were black/African American. Most patients were unvaccinated, 65.7%, 8.5%, and 25.8% receiving one dose or at least two doses, respectively. Unvaccinated patients were younger than fully vaccinated (p = 0.001) and were more likely to be black/African American (p = 0.002). Fully vaccinated patients were 5.3 times less likely to have severe/critical disease (WHO classification) than unvaccinated patients (p < 0.001) after controlling for age, BMI, race, home steroid use, and serum albumin levels on admission. The case fatality rate in fully vaccinated patients was 3.4% compared to 17.9% in unvaccinated patients (p = 0.003). Unvaccinated patients also had higher rates of complications.

CONCLUSIONS

Patients who were unvaccinated or partially vaccinated had more in-hospital complications, severe disease, and death as compared to fully vaccinated patients. Factors associated with severe COVID-19 disease included advanced age, obesity, low serum albumin, and home steroid use.

Association between Patient Race and Ethnicity and Use of Invasive Ventilation in the United States

Rationale: Outcomes for people with respiratory failure in the United States vary by patient race and ethnicity. Invasive ventilation is an important treatment initiated based on expert opinion. It is unknown whether the use of invasive ventilation varies by patient race and ethnicity. Objectives: To measure 1) the association between patient race and ethnicity and the use of invasive ventilation; and 2) the change in 28-day mortality mediated by any association. Methods: We performed a multicenter cohort study of nonintubated adults receiving oxygen within 24 hours of intensive care admission using the Medical Information Mart for Intensive Care IV (MIMIC-IV, 2008-2019) and Phillips eICU (eICU, 2014-2015) databases from the United States. We modeled the association between patient race and ethnicity (Asian, Black, Hispanic, White) and invasive ventilation rate using a Bayesian multistate model that adjusted for baseline and time-varying covariates, calculated hazard ratios (HRs), and estimated 28-day hospital mortality changes mediated by differential invasive ventilation use. We reported posterior means and 95% credible intervals (CrIs). Results: We studied 38,258 patients, 52% (20,032) from MIMIC-IV and 48% (18,226) from eICU: 2% Asian (892), 11% Black (4,289), 5% Hispanic (1,964), and 81% White (31,113). Invasive ventilation occurred in 9.2% (3,511), and 7.5% (2,869) died. The adjusted rate of invasive ventilation was lower in Asian (HR, 0.82; CrI, 0.70-0.95), Black (HR, 0.78; CrI, 0.71-0.86), and Hispanic (HR, 0.70; CrI, 0.61-0.79) patients compared with White patients. For the average patient, lower rates of invasive ventilation did not mediate differences in 28-day mortality. For a patient on high-flow nasal cannula with inspired oxygen fraction of 1.0, the odds ratios for mortality if invasive ventilation rates were equal to the rate for White patients were 0.97 (CrI, 0.91-1.03) for Asian patients, 0.96 (CrI, 0.91-1.03) for Black patients, and 0.94 (CrI, 0.89-1.01) for Hispanic patients. Conclusions: Asian, Black, and Hispanic patients had lower rates of invasive ventilation than White patients. These decreases did not mediate harm for the average patient, but we could not rule out harm for patients with more severe hypoxemia.

Health Behavior and Attitudes During the COVID-19 Pandemic Among Vulnerable and Underserved Latinx in the Southwest USA

The COVID-19 pandemic highlighted deep-rooted health disparities, particularly among Latinx immigrants living on the Mexico-US border. This article investigates differences between populations and adherence to COVID-19 preventive measures. This study investigated whether there are differences between Latinx recent immigrants, non-Latinx Whites, and English-speaking Latinx in their attitudes and adherence to COVID-19 preventive measures. Data came from 302 participants who received a free COVID-19 test at one of the project sites between March and July 2021. Participants lived in communities with poorer access to COVID-19 testing. Choosing to complete the baseline survey in Spanish was a proxy for being a recent immigrant. Survey measures included the PhenX Toolkit, COVID-19 mitigating behaviors, attitudes toward COVID-19 risk behaviors and mask wearing, and economic challenges during the COVID-19 pandemic. With multiple imputation, ordinary least squares (OLS) regression was used to analyze between-group differences in mitigating attitudes and behaviors toward COVID-19 risk. Adjusted OLS regression analyses showed that Latinx surveyed in Spanish perceived COVID-19 risk behaviors as more unsafe (b = 0.38, p = .001) and had stronger positive attitudes toward mask wearing (b = 0.58, p = .016), as compared to non-Latinx Whites. No significant differences emerged between Latinx surveyed in English and non-Latinx Whites (p > .05). Despite facing major structural, economic, and systemic disadvantages, recent Latinx immigrants showed more positive attitudes toward public health COVID-19 mitigating measures than other groups. The findings have implications for future prevention research about community resilience, practice, and policy.

Explaining COVID-19 related mortality disparities in American Indians and Alaska Natives

American Indian and Alaska Native (AI/AN) individuals are more likely to die with COVID-19 than other groups, but there is limited empirical evidence to explain the cause of this inequity. The objective of this study was to determine whether medical comorbidities, area socioeconomic deprivation, or access to treatment can explain the greater COVID-19 related mortality among AI/AN individuals. The design was a retrospective cohort study of harmonized electronic health record data of all inpatients with COVID-19 from 21 United States health systems from February 2020 through January 2022. The mortality of AI/AN inpatients was compared to all Non-Hispanic White (NHW) inpatients and to a matched subsample of NHW inpatients. AI/AN inpatients were more likely to die during their hospitalization (13.2% versus 7.1%; odds ratio [OR] = 1.98, 95% confidence interval [CI] = 1.48, 2.65) than their matched NHW counterparts. After adjusting for comorbidities, area social deprivation, and access to treatment, the association between ethnicity and mortality was substantially reduced (OR 1.59, 95% CI 1.15, 2.22). The significant residual relation between AI/AN versus NHW status and mortality indicate that there are other important unmeasured factors that contribute to this inequity. This will be an important direction for future research.

Sickle cell disease and coronavirus disease-2019 (COVID-19) infection: a single-center experience

PURPOSE

Sickle cell disease (SCD) has been found to be associated with an increased risk of hospitalization and death from coronavirus disease-2019 (COVID-19). We sought to study clinical outcomes in patients with SCD and a diagnosis of COVID-19 infection.

METHODS

We conducted a retrospective analysis of adult patients (>18 years) with SCD who were diagnosed with COVID-19 infection between 1 March 2020 and 31 March 2021. Data on baseline characteristics and overall outcomes were collected and analyzed using SAS 9.4 for Windows.

RESULTS

A total of 51 patients with SCD were diagnosed with COVID-19 infection in the study period, out of which 39.3% were diagnosed and managed in the outpatient setting/emergency room (ER) and 60.3% in the inpatient setting. Disease-modifying therapy such as hydroxyurea did not impact inpatient vs outpatient/ER management (P > 0.05). Only 5.71% (n = 2) required intensive care unit admission and were mechanically ventilated and 3.9% (2 patients) died of complications of COVID-19 infection.

CONCLUSION

We identified a lower mortality (3.9%) rate among patients in our cohort in comparison to previous studies and a higher burden of inpatient hospitalizations as compared to outpatient/ER management. Further prospective data are needed to validate these findings. Key messages What is already known on this topic COVID-19 has been shown to have a disproportionately unfavorable impact on African Americans, including longer hospital stays, higher rates of ventilator dependence, and a higher overall mortality rate. Limited data also suggest that sickle cell disease (SCD) is associated with an increased risk of hospitalization and death from COVID-19. What this study adds Our analysis did not show a higher mortality due to COVID-19 in patients with SCD. However, we identified a high burden of inpatient hospitalizations in this population. COVID-19-related outcomes did not improve with the use of disease-modifying therapies. How this study might affect research, practice, or policy These results will aid in decision making for triage of patients with COVID-19 and SCD and ensure the most appropriate use of healthcare resources. Our analysis underscores the need for more robust data to identify patients at higher risk of severe disease and/or mortality, necessitating inpatient hospitalization and aggressive management.

Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019

BACKGROUND

Data supporting dementia as a risk factor for coronavirus disease 2019 (COVID-19) mortality relied on ICD-10 codes, yet nearly 40% of individuals with probable dementia lack a formal diagnosis. Dementia coding is not well established for people with HIV (PWH), and its reliance may affect risk assessment.

METHODS

This retrospective cohort analysis of PWH with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PCR positivity includes comparisons to people without HIV (PWoH), matched by age, sex, race, and zipcode. Primary exposures were dementia diagnosis, by International Classification of Diseases (ICD)-10 codes, and cognitive concerns, defined as possible cognitive impairment up to 12 months before COVID-19 diagnosis after clinical review of notes from the electronic health record. Logistic regression models assessed the effect of dementia and cognitive concerns on odds of death [odds ratio (OR); 95% CI (95% confidence interval)]; models adjusted for VACS Index 2.0.

RESULTS

Sixty-four PWH were identified out of 14 129 patients with SARS-CoV-2 infection and matched to 463 PWoH. Compared with PWoH, PWH had a higher prevalence of dementia (15.6% vs. 6%, P  = 0.01) and cognitive concerns (21.9% vs. 15.8%, P  = 0.04). Death was more frequent in PWH ( P  < 0.01). Adjusted for VACS Index 2.0, dementia [2.4 (1.0-5.8), P  = 0.05] and cognitive concerns [2.4 (1.1-5.3), P  = 0.03] were associated with increased odds of death. In PWH, the association between cognitive concern and death trended towards statistical significance [3.92 (0.81-20.19), P  = 0.09]; there was no association with dementia.

CONCLUSION

Cognitive status assessments are important for care in COVID-19, especially among PWH. Larger studies should validate findings and determine long-term COVID-19 consequences in PWH with preexisting cognitive deficits.

Risk Factors and Outcomes Associated With Re-Intubation Secondary to Respiratory Failure in Patients With COVID-19 ARDS

BACKGROUND

COVID-19 is associated with variable symptoms and clinical sequelae. Studies have examined the clinical course of these patients, finding a prolonged need for invasive ventilation and variable re-intubation rates. However, no research has investigated factors and outcomes related to re-intubation secondary to respiratory failure among patients with COVID-19 with ARDS.

METHODS

We conducted a single-center, retrospective study on subjects intubated for ARDS secondary to COVID-19. The primary outcome was re-intubation status; secondary outcomes were hospital and ICU stay and mortality. Data were analyzed using between-group comparisons using chi-square testing for categorical information and Student t test for quantitative data. Univariate and multivariate logistic regression was performed to determine factors related to re-intubation and mortality as dependent variables.

RESULTS

One hundred and fourteen subjects were included, of which 32% required re-intubation. No between-group differences were detected for most demographic variables or comorbidities. No differences were detected in COVID-19 treatments, noninvasive respiratory support, mechanical circulatory support, or duration of ventilation. Midazolam (odds ratio [OR] 5.55 [95% CI 1.83-16.80], P = .002), fentanyl (OR 3.64 [95% CI 1.26-10.52], P = .02), and APACHE II scores (OR 1.08 [95% CI 1.030-1.147], P = .005) were independently associated with re-intubation (area under the curve = 0.81). Re-intubated subjects had extended hospital (36.7 ± 22.7 d vs 26.1 ± 12.1 d, P = .01) and ICU (29.6 ± 22.4 d vs 15.8 ± 10.4 d, P < .001) stays. More subjects died who failed extubation (49% vs 3%, P < .001). Age (OR 1.07 [95% CI 1.02-1.23], P = .005), male sex (OR 4.9 [95% CI 1.08-22.35], P = .041), positive Confusion Assessment Method for the ICU (CAM-ICU) (OR 5.43 [95% CI 1.58-18.62], P = .007), and re-intubation (OR 12.75 [95% CI 2.80-57.10], P < .001) were independently associated with death (area under the curve = 0.93).

CONCLUSIONS

Midazolam, fentanyl, and higher APACHE II scores were independently associated with re-intubation secondary to respiratory failure in subjects with COVID-19-related ARDS. Furthermore, age, male sex, positive CAM-ICU, and re-intubation were independently associated with mortality. Re-intubation also correlated with prolonged hospital and ICU stay.

Is Age the Most Important Risk Factor in COVID-19 Patients? The Relevance of Comorbidity Burden: A Retrospective Analysis of 10,551 Hospitalizations

Purpose

To assess the contribution of age and comorbidity to the risk of critical illness in hospitalized COVID-19 patients using increasingly exhaustive tools for measuring comorbidity burden.

Patients and Methods

We assessed the effect of age and comorbidity burden in a retrospective, multicenter cohort of patients hospitalized due to COVID-19 in Catalonia (North-East Spain) between March 1, 2020, and January 31, 2022. Vaccinated individuals and those admitted within the first of the six COVID-19 epidemic waves were excluded from the primary analysis but were included in secondary analyses. The primary outcome was critical illness, defined as the need for invasive mechanical ventilation, transfer to the intensive care unit (ICU), or in-hospital death. Explanatory variables included age, sex, and four summary measures of comorbidity burden on admission extracted from three indices: the Charlson index (17 diagnostic group codes), the Elixhauser index and count (31 diagnostic group codes), and the Queralt DxS index (3145 diagnostic group codes). All models were adjusted by wave and center. The proportion of the effect of age attributable to comorbidity burden was assessed using a causal mediation analysis.

Results

The primary analysis included 10,551 hospitalizations due to COVID-19; of them, 3632 (34.4%) experienced critical illness. The frequency of critical illness increased with age and comorbidity burden on admission, irrespective of the measure used. In multivariate analyses, the effect size of age decreased with the number of diagnoses considered to estimate comorbidity burden. When adjusting for the Queralt DxS index, age showed a minimal contribution to critical illness; according to the causal mediation analysis, comorbidity burden on admission explained the 98.2% (95% CI 84.1-117.1%) of the observed effect of age on critical illness.

Conclusion

Comorbidity burden (when measured exhaustively) explains better than chronological age the increased risk of critical illness observed in patients hospitalized with COVID-19.

Associations Between Insurance, Race and Ethnicity, and COVID-19 Hospitalization, Beyond Underlying Health Conditions: A Retrospective Cohort Study

Introduction

: People of lower socioeconomic position (SEP) and people of color (POC) experience higher risks of severe COVID-19, but understanding of these associations beyond the effect of underlying health conditions (UHCs) is limited. Moreover, few studies have focused on young adults, who have had the highest incidence of COVID-19 during much of the pandemic.

Methods

: We conducted a retrospective cohort study using electronic health record data from the University of Washington Medicine healthcare system. Our study population included individuals aged 18-39 years who tested positive for SARS-CoV-2 from February 2020 to March 2021. Using regression modeling, we estimated adjusted risk ratios (aRRs) and differences (aRDs) of COVID-19 hospitalization by SEP (using health insurance as a proxy) and race and ethnicity. We adjusted for any UHC to examine these associations beyond the effect of UHCs. Results: Among 3,101 individuals, the uninsured/publicly insured had a 1.9-fold higher risk of hospitalization (aRR [95% CI]=1.9 [1.0, 3.6]) and 9 additional hospitalizations per 1,000 SARS-CoV-2 positive persons (aRD [95% CI]=9 [-1, 20]) compared to the privately insured. Hispanic or Latine, non-Hispanic (NH) Asian, NH Black, and NH Native Hawaiian or Pacific Islander patients had a 1.5-, 2.7-, 1.4-, and 2.1-fold-higher risk of hospitalization (aRR [95% CI]=1.5 [0.7, 3.1]; 2.7 [1.1, 6.5]; 1.4 [0.6, 3.3]; 2.1 [0.5, 9.1]), respectively, compared to NH White patients. Conclusions: Though they should be interpreted with caution given low precision, our findings suggest the increased risk of COVID-19 hospitalization among young adults of lower SEP and young adults of color may be driven by forces other than UHCs, including social determinants of health.

Effect of atrial fibrillation on mortality in SARS-CoV-2 patients: A propensity score-matched analysis of nationwide hospitalizations in the United States

Background

Atrial fibrillation (AF) is one of the most common arrhythmias encountered in patients with SARS-CoV-2 infection. There are racial disparities in the incidence of AF and COVID-19. Several studies have reported an association between AF and mortality. However, it remains to be determined if AF represents an independent risk factor for COVID-19-related mortality.

Methods

A propensity score-matched (PSM) analysis was performed using data from the National Inpatient Sample to assess the risk of mortality among patients hospitalized with SARS-CoV-2 infection and incident AF from March 2020 through December 2020.

Results

AF was less common among patients who tested positive for SARS-CoV-2 as compared to those who tested negative (6.8% vs 7.4%, p < 0.001). White individuals with the virus had an increased incidence of AF but had lower mortality rates relative to Black and Hispanic patients. After PSM analysis, AF retained a significantly increased odds of mortality among patients with SARS-CoV-2 (OR: 1.35, CI: 1.29-1.41, p < 0.001).

Conclusion

This PSM analysis shows that AF is an independent risk factor for inpatient mortality in those with SARS-CoV-2 infection and that White patients, while having a higher burden of SARS-CoV-2 and AF, demonstrate a significantly lower mortality rate as compared to their Black and Hispanic counterparts.

Emergent Social Capital during the Coronavirus Pandemic in the United States in Hispanics/Latinos

The coronavirus pandemic has drastically impacted many groups that have been socially and economically marginalized such as Hispanics/Latinos in the United States (U.S.). Our aim was to understand how bonding social capital, bridging social capital, and trust played a role in Hispanics/Latinos over the course of the COVID-19 outbreak, as well as explore the negative consequences of social capital. We performed focus group discussions via Zoom (n = 25) between January and December 2021 with Hispanics/Latinos from Baltimore, MD, Washington, DC, and New York City, NY. Our findings suggest that Hispanics/Latinos experienced bridging and bonding social capital. Of particular interest was how social capital permeated the Hispanic/Latino community's socioeconomic challenges during the pandemic. The focus groups revealed the importance of trust and its role in vaccine hesitancy. Additionally, the focus groups discussed the dark side of social capital including caregiving burden and spread of misinformation. We also identified the emergent theme of racism. Future public health interventions should invest in social capital, especially for groups that have been historically marginalized or made vulnerable, and consider the promotion of bonding and bridging social capital and trust. When prospective disasters occur, public health interventions should support vulnerable populations that are overwhelmed with caregiving burden and are susceptible to misinformation.

The Relationship Between Broadband Speeds, Device Type, Demographic Characteristics, and Care-Seeking Via Telehealth

Background: This study sought to examine the complex relationship between individual and environmental characteristics, broadband access, device type (computer or smartphone), and telehealth utilization as it relates to the digital divide. Methods: We analyzed a combination of electronic health record and publicly available zip code-level data for 2,770 men seeking treatment on a large, nationally available, direct-to-consumer telehealth platform. Using logistic regression, we determined the likelihood of accessing the platform through a smartphone (vs. a computer) based on key features of the environment, including broadband access and income, and demographic characteristics, including age and race. Results: We found that living in areas with higher rates of broadband adoption significantly decreased the likelihood of accessing virtual care using a smartphone (odds ratio [OR] = 0.17, p < 0.001). Compared with the 18-29 age category, the odds of accessing virtual care using a smartphone decreased for men between the age categories of 40-59 (OR = 0.63, p < 0.01) and over 60 (OR = 0.29, p < 0.001) years. Belonging to historically marginalized communities of color (Black, Hispanic, and Native American) almost doubled the odds of using a smartphone to access the platform (OR = 1.8, p < 0.001). Broadband availability and median area income were not significantly associated with mobile use. Conclusions: Telehealth platform design and policy solutions intended to expand access to virtual care should be flexible enough to accommodate the sometimes competing needs of patients who are at the greatest risk of being left behind.

Temporal Improvements in COVID-19 Outcomes for Hospitalized Adults: A Post Hoc Observational Study of Remdesivir Group Participants in the Adaptive COVID-19 Treatment Trial

BACKGROUND

The COVID-19 standard of care (SOC) evolved rapidly during 2020 and 2021, but its cumulative effect over time is unclear.

OBJECTIVE

To evaluate whether recovery and mortality improved as SOC evolved, using data from ACTT (Adaptive COVID-19 Treatment Trial).

DESIGN

ACTT is a series of phase 3, randomized, double-blind, placebo-controlled trials that evaluated COVID-19 therapeutics from February 2020 through May 2021. ACTT-1 compared remdesivir plus SOC to placebo plus SOC, and in ACTT-2 and ACTT-3, remdesivir plus SOC was the control group. This post hoc analysis compared recovery and mortality between these comparable sequential cohorts of patients who received remdesivir plus SOC, adjusting for baseline characteristics with propensity score weighting. The analysis was repeated for participants in ACTT-3 and ACTT-4 who received remdesivir plus dexamethasone plus SOC. Trends in SOC that could explain outcome improvements were analyzed. (ClinicalTrials.gov: NCT04280705 [ACTT-1], NCT04401579 [ACTT-2], NCT04492475 [ACTT-3], and NCT04640168 [ACTT-4]).

SETTING

94 hospitals in 10 countries (86% U.S. participants).

PARTICIPANTS

Adults hospitalized with COVID-19.

INTERVENTION

SOC.

MEASUREMENTS

28-day mortality and recovery.

RESULTS

Although outcomes were better in ACTT-2 than in ACTT-1, adjusted hazard ratios (HRs) were close to 1 (HR for recovery, 1.04 [95% CI, 0.92 to 1.17]; HR for mortality, 0.90 [CI, 0.56 to 1.40]). Comparable patients were less likely to be intubated in ACTT-2 than in ACTT-1 (odds ratio, 0.75 [CI, 0.53 to 0.97]), and hydroxychloroquine use decreased. Outcomes improved from ACTT-2 to ACTT-3 (HR for recovery, 1.43 [CI, 1.24 to 1.64]; HR for mortality, 0.45 [CI, 0.21 to 0.97]). Potential explanatory factors (SOC trends, case surges, and variant trends) were similar between ACTT-2 and ACTT-3, except for increased dexamethasone use (11% to 77%). Outcomes were similar in ACTT-3 and ACTT-4. Antibiotic use decreased gradually across all stages.

LIMITATION

Unmeasured confounding.

CONCLUSION

Changes in patient composition explained improved outcomes from ACTT-1 to ACTT-2 but not from ACTT-2 to ACTT-3, suggesting improved SOC. These results support excluding nonconcurrent controls from analysis of platform trials in rapidly changing therapeutic areas.

PRIMARY FUNDING SOURCE

National Institute of Allergy and Infectious Diseases.

Neurofilament light chain and vaccination status associate with clinical outcomes in severe COVID-19

Blood neurofilament light chain (NFL) is proposed to serve as an estimate of disease severity in hospitalized patients with coronavirus disease 2019 (COVID-19). We show that NFL concentrations in plasma collected from 880 patients with COVID-19 within 5 days of hospital admission were elevated compared to controls. Higher plasma NFL associated with worse clinical outcomes including the need for mechanical ventilation, intensive care, prolonged hospitalization, and greater functional disability at discharge. No difference in the studied clinical outcomes between black/African American and white patients was found. Finally, vaccination associated with less disability at time of hospital discharge. In aggregate, our findings support the utility of measuring NFL shortly after hospital admission to estimate disease severity and show that race does not influence clinical outcomes caused by COVID-19 assuming equivalent access to care, and that vaccination may lessen the degree of COVID-19-caused disability.

Disparities in SARS-CoV-2 Testing for Hispanic/Latino Populations: An Analysis of State-Published Demographic Data

Racial and ethnic minorities in the United States have been disproportionately affected by the COVID-19 pandemic, experiencing increased risk of infection, hospitalization, and death. In this study, we sought to examine race- and ethnicity-based differences in SARS-CoV-2 testing. We used publicly available US state dashboards to extract demographic data for COVID-19 cases and tests. Poisson regression models were used to model the effect of race and ethnicity on the number of SARS-CoV-2 tests performed per case. In total, just 8 states reported testing data by race and ethnicity. In regression models, race and ethnicity was a significant predictor of testing rate per case. In all states, Hispanic/Latino patients had a significantly lower testing rate than their non-Hispanic/Latino counterparts, with an incident rate ratio varying from 0.45 to 0.81, depending on the state and referent race category. These results suggest disparities in testing access among Hispanic/Latino individuals, who are already at a disproportionate risk for infection and severe outcomes.

Increasing COVID-19 Vaccination in the United States: Projected Impact on Cases, Hospitalizations, and Deaths by Age and Racial Group

Objectives

Minority populations in the United States face a disproportionate burden of illness from COVID-19 infection and have lower vaccination rates compared with other groups. This study estimated the equity implications of increased COVID-19 vaccination in the United States, with a focus on the number of cases, hospitalizations, and deaths avoided.

Study design

This was an observational real-world modeling study.

Methods

Data from the Centers for Disease Control and Prevention (CDC) were used to identify the remaining unvaccinated US population by county, age, and race as of October 22, 2021. The number of COVID-19 cases, hospitalizations, and deaths avoided were calculated based on case incidence and death data from the CDC, along with data on race- and age-specific hospitalization multipliers, under a scenario in which half of the remaining unvaccinated population per county, race, and age group obtained a full vaccine regimen.

Results

Vaccinating half of the remaining unvaccinated population in each age and race subgroup within counties would result in an estimated 22.09 million COVID-19 cases avoided, 1.38 million hospitalizations avoided, and 150,000 deaths avoided over 12 months. Some minority groups, particularly Black and Hispanic/Latino populations, were projected to experience substantial benefits from increased vaccination rates as they face both lower vaccination rates and worse outcomes if infected with COVID-19.

Conclusions

Increasing COVID-19 vaccination in the United States not only benefits the population as a whole but also serves as a potentially useful lever to reduce the disproportionate burden of COVID-19 illness among minority populations.

Infection fatality rate of COVID-19 in community-dwelling elderly populations

This mixed design synthesis aimed to estimate the infection fatality rate (IFR) of Coronavirus Disease 2019 (COVID-19) in community-dwelling elderly populations and other age groups from seroprevalence studies. Protocol: https://osf.io/47cgb. Eligible were seroprevalence studies done in 2020 and identified by any of four existing systematic reviews; with ≥ 500 participants aged ≥ 70 years; presenting seroprevalence in elderly people; aimed to generate samples reflecting the general population; and whose location had available data on cumulative COVID-19 deaths in elderly (primary cutoff ≥ 70 years; ≥ 65 or ≥ 60 also eligible). We extracted the most fully adjusted (if unavailable, unadjusted) seroprevalence estimates; age- and residence-stratified cumulative COVID-19 deaths (until 1 week after the seroprevalence sampling midpoint) from official reports; and population statistics, to calculate IFRs adjusted for test performance. Sample size-weighted IFRs were estimated for countries with multiple estimates. Thirteen seroprevalence surveys representing 11 high-income countries were included in the main analysis. Median IFR in community-dwelling elderly and elderly overall was 2.9% (range 1.8–9.7%) and 4.5% (range 2.5–16.7%) without accounting for seroreversion (2.2% and 4.0%, respectively, accounting for 5% monthly seroreversion). Multiple sensitivity analyses yielded similar results. IFR was higher with larger proportions of people > 85 years. The IFR of COVID-19 in community-dwelling elderly is lower than previously reported.

Preintubation Sequential Organ Failure Assessment Score for Predicting COVID-19 Mortality: External Validation Using Electronic Health Record From 86 U.S. Healthcare Systems to Appraise Current Ventilator Triage Algorithms

OBJECTIVES:

Prior research has hypothesized the Sequential Organ Failure Assessment (SOFA) score to be a poor predictor of mortality in mechanically ventilated patients with COVID-19. Yet, several U.S. states have proposed SOFA-based algorithms for ventilator triage during crisis standards of care. Using a large cohort of mechanically ventilated patients with COVID-19, we externally validated the predictive capacity of the preintubation SOFA score for mortality prediction with and without other commonly used algorithm elements.

DESIGN:

Multicenter, retrospective cohort study using electronic health record data.

SETTING:

Eighty-six U.S. health systems.

PATIENTS:

Patients with COVID-19 hospitalized between January 1, 2020, and February 14, 2021, and subsequently initiated on mechanical ventilation.

INTERVENTIONS:

None.

MEASUREMENTS AND MAIN RESULTS:

Among 15,122 mechanically ventilated patients with COVID-19, SOFA score alone demonstrated poor discriminant accuracy for inhospital mortality in mechanically ventilated patients using the validation cohort (area under the receiver operating characteristic curve [AUC], 0.66; 95% CI, 0.65–0.67). Discriminant accuracy was even poorer using SOFA score categories (AUC, 0.54; 95% CI, 0.54–0.55). Age alone demonstrated greater discriminant accuracy for inhospital mortality than SOFA score (AUC, 0.71; 95% CI, 0.69–0.72). Discriminant accuracy for mortality improved upon addition of age to the continuous SOFA score (AUC, 0.74; 95% CI, 0.73–0.76) and categorized SOFA score (AUC, 0.72; 95% CI, 0.71–0.73) models, respectively. The addition of comorbidities did not substantially increase model discrimination. Of 36 U.S. states with crisis standards of care guidelines containing ventilator triage algorithms, 31 (86%) feature the SOFA score. Of these, 25 (81%) rely heavily on the SOFA score (12 exclusively propose SOFA; 13 place highest weight on SOFA or propose SOFA with one other variable).

CONCLUSIONS:

In a U.S. cohort of over 15,000 ventilated patients with COVID-19, the SOFA score displayed poor predictive accuracy for short-term mortality. Our findings warrant reappraisal of the SOFA score’s implementation and weightage in existing ventilator triage pathways in current U.S. crisis standards of care guidelines.

The Effectiveness of National Early Warning Score, Quick Sequential Organ Failure Assessment, Charlson Comorbidity Index, and Elixhauser Comorbidity Index Scores in Predicting Mortality Due to COVID-19 in Elderly Patients

Introduction: As the mortality rate in coronavirus disease 2019 (COVID-19) patients older than 65 years is considerable, evaluation of in-hospital mortality is crucial. This study aimed to evaluate in-hospital mortality in COVID-19 patients older than 65 years using the National Early Warning Score (NEWS), Quick Sequential Organ Failure Assessment (q-SOFA), Charlson Comorbidity Index (CCI), and Elixhauser Comorbidity Index (ECI).

Methods: This retrospective study included data from 480 patients with confirmed COVID-19 and age over 65 years who were evaluated in a university emergency department in Turkey. Data from eligible but deceased COVID-19 patients was also included. NEWS, q-SOFA, CCI, and ECI scores were retrospectively calculated. All clinical data was accessed from the information management system of the hospital, retrieved, and analyzed.

Results: In-hospital mortality was seen in 169 patients (169/480). Low oxygen saturation, high C-reactive protein (CRP) and urea levels, and high q-SOFA and ECI scores helped us identify mortality in high-risk patients. A statistically significant difference was found in mortality estimation between q-SOFA and ECI (p <0.001), respectively.

Conclusion: Q-SOFA and ECI can be used both easily and practically in the early diagnosis of in-hospital mortality in COVID-19 positive patients over 65 years of age admitted to the emergency department. Low oxygen saturation, high CRP and urea levels, and high q-SOFA and ECI scores are helpful in identifying high-risk patients.

Conceptualizing, Contextualizing, and Operationalizing Race in Quantitative Health Sciences Research

Differences in health outcomes across racial groups are among the most commonly reported findings in health disparities research. Often, these studies do not explicitly connect observed disparities to mechanisms of systemic racism that drive adverse health outcomes among racialized and other marginalized groups in the United States. Without this connection, investigators inadvertently support harmful narratives of biologic essentialism or cultural inferiority that pathologize racial identities and inhibit health equity. This paper outlines pitfalls in the conceptualization, contextualization, and operationalization of race in quantitative population health research and provides recommendations on how to appropriately engage in scientific inquiry aimed at understanding racial health inequities. Race should not be used as a measure of biologic difference, but rather as a proxy for exposure to systemic racism. Future studies should go beyond this proxy use and directly measure racism and its health impacts.VISUAL ABSTRACTAppeared as Annals "Online First" article.

Racial and neighborhood disparities in mortality among hospitalized COVID-19 patients in the United States: An analysis of the CDC case surveillance database

BACKGROUND

Black and Hispanic populations have higher overall COVID-19 infection and mortality odds compared to Whites. Some state-wide studies conducted in the early months of the pandemic found no in-hospital racial disparities in mortality.

METHODS

We performed chi-square and logistic regression analyses on the CDC COVID-19 Case Surveillance Restricted Database. The primary outcome of the study was all-cause in-hospital mortality. The primary exposures were racial group (White, Black, Hispanic and Others) and neighborhood type (low vulnerability, moderate vulnerability, high vulnerability, very high vulnerability).

FINDINGS

The overall unadjusted mortality rate was 33% and was lowest among Hispanics. In the fully adjusted models, Blacks and Hispanics had higher overall odds of dying [OR of 1.20 (95% CI 1.15, 1.25) and 1.23 (95% CI 1.17, 1.28) respectively] compared with White patients, and patients from neighborhoods with very high vulnerability had the highest mortality odds in the Northeast, Midwest and overall [Adjusted OR 2.08 (95% CI 1.91, 2.26)]. In the Midwest, Blacks and Hispanics had higher odds of mortality compared with Whites, but this was not observed in other regions.

INTERPRETATION

Among hospitalized COVID-19 patients, Blacks and Hispanics were more likely to die compared to Whites in the Midwest. Patients from highly vulnerable neighborhoods also had the highest likelihood of death in the Northeast and Midwest. These results raise important questions on our efforts to curb healthcare disparities and structural racism in the healthcare setting.

Exploring temporal varying demographic and economic disparities in COVID-19 infections in four U.S. areas: based on OLS, GWR, and random forest models

Although studies have previously investigated the spatial factors of COVID-19, most of them were conducted at a low resolution and chose to limit their study areas to high-density urbanized regions. Hence, this study aims to investigate the economic-demographic disparities in COVID-19 infections and their spatial-temporal patterns in areas with different population densities in the United States. In particular, we examined the relationships between demographic and economic factors and COVID-19 density using ordinary least squares, geographically weighted regression analyses, and random forest based on zip code-level data of four regions in the United States. Our results indicated that the demographic and economic disparities are significant. Moreover, several areas with disadvantaged groups were found to be at high risk of COVID19 infection, and their infection risk changed at different pandemic periods. The findings of this study can contribute to the planning of public health services, such as the adoption of smarter and comprehensive policies for allocating economic recovery resources and vaccines during a public health crisis.

COVID-19 Clinical Profile in Latin American Migrants Living in Spain: Does the Geographical Origin Matter?

The aim of this study was to describe and compare the clinical characteristics of hospitalized patients with COVID-19 pneumonia according to their geographical origin. This is a retrospective case-control study of hospitalized patients with confirmed COVID-19 pneumonia treated at Vall d'Hebron University Hospital (Barcelona) during the first wave of the pandemic. Cases were defined as patients born in Latin America and controls were randomly selected among Spanish patients matched by age and gender. Demographic and clinical variables were collected, including comorbidities, symptoms, vital signs and analytical parameters, intensive care unit admission and outcome at 28 days after admission. Overall, 1080 hospitalized patients were registered: 774 (71.6%) from Spain, 142 (13.1%) from Latin America and the rest from other countries. Patients from Latin America were considered as cases and 558 Spanish patients were randomly selected as controls. Latin American patients had a higher proportion of anosmia, rhinorrhea and odynophagia, as well as higher mean levels of platelets and lower mean levels of ferritin than Spanish patients. No differences were found in oxygen requirement and mortality at 28 days after admission, but there was a higher proportion of ICU admissions (28.2% vs. 20.2%, p = 0.0310). An increased proportion of ICU admissions were found in patients from Latin America compared with native Spanish patients when adjusted by age and gender, with no significant differences in in-hospital mortality.

Mapping the geodemographics of racial, economic, health, and COVID-19 deaths inequalities in the conterminous US

A large number of studies have examined individual-level factors that increase COVID-19 fatalities. However, no research has focused on the geodemographic classification of the most susceptible communities to COVID-19. In this cross-sectional ecological study, we used local fuzzy geographically-weighted clustering to create the socioeconomic profile of the US counties in relation to COVID-19 death rates. We demonstrate that living in a county which has households with lower income, people with a lack of health insurance, a high African-American percentage, and lower education level, lead to 27.12% higher COVID-19 death rates than the national median, and 72.56% higher compared to the least vulnerable counties. Compared to counties with a high COVID-19 death rate, counties with a low COVID-19 death rate have 44.90% higher annual median household income and nearly double house worth (89.51% more). Results show that the effects of the COVID-19 pandemic are not universal and that the minoritised and impoverished populations suffer more. Our analysis can effectively pinpoint the most vulnerable counties and importantly allows for understanding the socioeconomic context in which tailored interventions can be applied to mitigate COVID-19 deaths.

Association between race and risk of ICU mortality in mechanically ventilated COVID-19 patients at a safety net hospital

Purpose

To determine racial differences in intensive care unit (ICU) mortality outcomes among mechanically ventilated patients with severe coronavirus disease 2019 (COVID-19) infection in a safety net hospital.

Methods

We retrospectively analyzed a cohort of patients ≥ 18 years old with confirmed severe acute respiratory syndrome-CoV-2 disease associated respiratory failure who were treated with invasive mechanical ventilation and admitted to the ICU from May 1, 2020 – July 30 -2020 at Grady Memorial Hospital, Atlanta, Georgia – a safety net hospital. We evaluated the association between mortality and demographics, co-morbidities, inpatient laboratory, and radiological parameters.

Results

Among 181 critically ill mechanically ventilated African American patients treated at a safety net hospital, the mortality rate was 33%. On stratified analysis by race (Table 2), mortality rates were significantly higher in African Americans (39%) and Hispanics (26.3%), compared to Whites (18.9%). On multivariate regression, African Americans were 3 times more likely to die in the ICU compared to Whites (OR 3.1 95% CI 1.6 -5.5). Likewise, the likelihood of mortality was higher in Hispanics compared to Whites (OR 1.3 95% CI 1.0 -3.9).

Conclusions

Our study demonstrated a high ICU mortality rate in a cohort of mechanically ventilated patients with severe COVID-19 infection treated at a safety net hospital. African Americans and Hispanics had significantly higher risks of ICU mortality compared to Whites. These study findings further elucidate the disproportionately higher burden of COVID-19 infection in African Americans and Hispanics.