Effect of Race and Ethnicity on In-Hospital Mortality in Patients with COVID-19

Mortality from COVID-19 in Amazonian and Andean original indigenous populations of Peru

OBJECTIVE

To compare the mortality rates from COVID-19 among indigenous populations of the Amazon and Andean regions of Peru during the years 2020, 2021 and 2022.

METHODS

Secondary analysis of 33,567 data from the COVID-19 Notification System of the National Epidemiology Center, Prevention and Control of Diseases (CDC-Peru), from the years 2020-2022. The variables were age, sex, belonging to the Andean or Amazonian ethnic group, number and type of symptoms and risk conditions, abnormal findings in chest X-rays, year of data collection for hospitalization and death from COVID-19. Poisson family generalized linear regression models with logarithmic linkage and robust variance were used to establish differences in mortality between ethnic groups. Crude and adjusted risk ratio (RR) with 95 % confidence intervals (CI) were calculated.

RESULTS

33,567 participants with an average age of 33.6 years were included, 44.4 % were men and 70.2 % belonged to the Amazonian ethnic group. Most of those affected by COVID-19 presented 2 symptoms (38.8 %), 4.8 % presented some risk condition, 1451 (4.3 %) were hospitalized, and 433 (1.3 %) died. The adjusted analysis showed that the Andean group, compared to the Amazonian, tended to have a higher probability of death, and this association was statistically significant, RR =7.6, 95 % CI (5.5-10.5).

CONCLUSIONS

Patients from Andean indigenous communities had an almost 8 times higher risk of death from COVID-19.

Physical Activity Message Framing and Ethnicity Before and During COVID-19

People of Black ethnicities are well known to be disproportionately burdened by coronavirus and have poorer health outcomes. Public health messages encouraged physical activity during the pandemic as it is evidenced to positively affect the immune system, however people of Black ethnicities are often reported as failing to achieve the recommended daily amount. Health message framing during COVID-19 specifically in relation to ethnicity and physical activity motivation has yet to be investigated. Two studies examined message frame effect on physical activity motivation prior to and at the onset of the pandemic and how this differed by ethnicity. Gain framed messages were found to positively affect physical activity motivation pre-COVID-19 and during the pandemic fear framed messages were found to positively affect physical activity motivation. Neither of these effects differed by ethnicity. Implications for future physical activity health message framing are discussed.

Health Promotion and Racial Disparity in COVID-19 Mortality Among African American Populations

COVID-19, known as Coronavirus Disease 2019, is a major health issue resulting from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Its emergence has posed a significant menace to the global medical community and healthcare system across the world. Notably, on December 12, 2020, the Food and Drug Administration (FDA) approved the utilization of the Pfizer and Moderna COVID-19 vaccines. As of July 31, 2022, the United Stated has witnessed over 91.3 million cases of COVID-19 and nearly 1.03 million fatalities. An intriguing observation is the recent reduction in the mortality rate of COVID-19, attributed to an augmented focus on early detection, comprehensive screening, and widespread vaccination. Despite this positive trend in some demographics, it is noteworthy that the overall incidence rates of COVID-19 among African American and Hispanic populations have continued to escalate, even as mortality rates have decreased. Therefore, the objective of this research study is to present an overview of COVID-19, spotlighting the disparities among different racial and ethnic groups. It also delves into the management of COVID-19 within the minority populations. To reach our research objective, we used a publicly available COVID-19 dataset from kaggle:https://www.kaggle.com/datasets/paultimothymooney/covid19-cases-and-deaths-by-race. In addition, we obtained COVID-19 datasets from 10 different states with the highest proportion of African American populations. Many considerable strikes have been made in COVID-19. However, success rate of treatment in the African American population remains relatively limited when compared to other ethnic groups. Hence, there arises a pressing need for novel strategies and innovative approaches to not only encourage prevention measures against COVID-19, but also to increase survival rates, diminish mortality rates, and ultimately improve the health outcomes of ethnic and racial minorities.

Variations in COVID-19 Hospital Mortality by Patient Race/Ethnicity and Hospital Type in Illinois

BACKGROUND AND OBJECTIVES

It is controversial whether hospital care mitigated or exacerbated population level racial and ethnic disparities in COVID-19 mortality. To begin answering that question, this study analyzed variations in COVID-19 hospital mortality in Illinois by patient race and ethnicity and by hospital characteristics, while providing an estimate of hospital-level variation in COVID-19 mortality.

METHOD

This is a retrospective cohort study based on hospital administrative data for adult patients with COVID-19 discharged from acute care, non-federal Illinois hospitals from April 1, 2020 through June 30, 2021. The association of patient and hospital characteristics with the likelihood of death was analyzed using multilevel logistic regression.

RESULTS

There were 158,569 COVID-19-coded admissions to 181 general hospitals in Illinois; 14.5% resulted in death or discharge to hospice. Hospital deaths accounted for nearly 90% of all COVID-19-associated deaths over 15 months in Illinois. After adjusting for patient- and hospital-level characteristics, Hispanic patients had higher mortality risk (aOR 1.26, 95% CI: 1.20-1.33) as compared with non-Hispanic White patients, while non-Hispanic Black patients had lower mortality risk (aOR 0.75, 95% CI: 0.71-0.79). Safety net hospitals receiving disproportionate share hospital (DSH) funds had higher mortality risk (aOR 1.81, 95% CI: 1.43-2.30) compared with other hospitals.

CONCLUSION

Risk-adjusted COVID-19 hospital mortality was highest among patients of Hispanic ethnicity, while non-Hispanic Black patients had lower risk than non-Hispanic White patients. There was significant variation in hospital mortality rates, with particularly high safety net hospital mortality.

Predictors of Mental Health Service Utilization among Frontline Healthcare Workers during the COVID-19 Pandemic

(1) Background: This study examined the prevalence and correlates of factors associated with self-reported mental health service use in a longitudinal cohort of frontline health care workers (FHCWs) providing care to patients with COVID-19 throughout 2020. (2) Methods: The study comprised a two-wave survey (n = 780) administered in April-May 2020 (T1) and November 2020-January 2021 (T2) to faculty, staff, and trainees in a large urban medical center. Factors associated with initiation, cessation, or continuation of mental health care over time were examined. (3) Results: A total of 19.1% of FHCWs endorsed currently utilizing mental health services, with 11.4% continuing, 4.2% initiating, and 3.5% ceasing services between T1 and T2. Predisposing and need-related factors, most notably a history of a mental health diagnosis and distress related to systemic racism, predicted service initiation and continuation. Among FHCWs with a prior mental health history, those with greater perceived resilience were less likely to initiate treatment at T2. Descriptive data highlighted the importance of services around basic and safety needs (e.g., reliable access to personal protective equipment) relative to mental health support in the acute phase of the pandemic. (4) Conclusions: Results may be helpful in identifying FHCWs who may benefit from mental health services.

Gender and Race-Based Health Disparities in COVID-19 Outcomes among Hospitalized Patients in the United States: A Retrospective Analysis of a National Sample

COVID-19 has brought the disparities in health outcomes for patients to the forefront. Racial and gender identity are associated with prevalent healthcare disparities. In this study, we examine the health disparities in COVID-19 hospitalization outcome from the intersectional lens of racial and gender identity. The Agency for Healthcare Research and Quality (AHRQ) 2020 NIS dataset for hospitalizations from 1 January 2020 to 31 December 2020 was analyzed for primary outcome of in-patient mortality and secondary outcomes of intubation, acute kidney injury (AKI), AKI requiring hemodialysis (HD), cardiac arrest, stroke, and vasopressor use. A multivariate regression model was used to identify associations. A p value of <0.05 was considered significant. Men had higher rates of adverse outcomes. Native American men had the highest risk of in-hospital mortality (aOR 2.0, CI 1.7−2.4) and intubation (aOR 1.8, CI 1.5−2.1), Black men had highest risk of AKI (aOR 2.0, CI 1.9−2.0). Stroke risk was highest in Asian/Pacific Islander women (aOR 1.5, p = 0.001). We note that the intersection of gender and racial identities has a significant impact on outcomes of patients hospitalized for COVID-19 in the United States with Black, Indigenous, and people of color (BIPOC) men have higher risks of adverse outcomes.

Disparities in Emergency Medical Services Care Delivery in the United States: A Scoping Review

BACKGROUND

Emergency medical services (EMS) often serve as the first medical contact for ill or injured patients, representing a critical access point to the health care delivery continuum. While a growing body of literature suggests inequities in care within hospitals and emergency departments, limited research has comprehensively explored disparities related to patient demographic characteristics in prehospital care.

OBJECTIVE

We aimed to summarize the existing literature on disparities in prehospital care delivery for patients identifying as members of an underrepresented race, ethnicity, sex, gender, or sexual orientation group.

METHODS

We conducted a scoping review of peer-reviewed and non-peer-reviewed (gray) literature. We searched PubMed, CINAHL, Web of Science, Proquest Dissertations, Scopus, Google, and professional websites for studies set in the U.S. between 1960 and 2021. Each abstract and full-text article was screened by two reviewers. Studies written in English that addressed the underrepresented groups of interest and investigated EMS-related encounters were included. Studies were excluded if a disparity was noted incidentally but was not a stated objective or discussed. Data extraction was conducted using a standardized electronic form. Results were summarized qualitatively using an inductive approach.

RESULTS

One hundred forty-five full-text articles from the peer-reviewed literature and two articles from the gray literature met inclusion criteria: 25 studies investigated sex/gender, 61 studies investigated race/ethnicity, and 58 studies investigated both. One study investigated sexual orientation. The most common health conditions evaluated were out-of-hospital cardiac arrest (n = 50), acute coronary syndrome (n = 36), and stroke (n = 31). The phases of EMS care investigated included access (n = 55), pre-arrival care (n = 46), diagnosis/treatment (n = 42), and response/transport (n = 40), with several studies covering multiple phases. Disparities were identified related to all phases of EMS care for underrepresented groups, including symptom recognition, pain management, and stroke identification. The gray literature identified public perceptions of EMS clinicians' cultural competency and the ability to appropriately care for transgender patients in the prehospital setting.

CONCLUSIONS

Existing research highlights health disparities in EMS care delivery throughout multiple health outcomes and phases of EMS care. Future research is needed to identify structured mechanisms to eliminate disparities, address clinician bias, and provide high-quality equitable care for all patient populations.

Associations between serum levels of C3, C4, and total classical complement activity in COVID-19 patients at the time of admission and clinical outcome

In the present study, we investigated the association between complement system status at the time of admission and clinical outcomes in COVID-19 patients. This single-center study was carried out with sixty-one adult patients with COVID-19 who were hospitalized at Imam Hassan Hospital of North Khorasan University of Medical Sciences (Bojnurd, Iran) with less than three days passage since onset of COVID-19 symptoms. Twenty-three healthy volunteers with demographic features similar to the patient group (matched by age and gender) were included in the study as a control group. Patient information including demographic information, demographic data, clinical characteristics, and clinical outcomes were obtained from electronic medical records. Of 61 hospitalized patients with COVID-19, 28 (47.54%) were female, and the average age was 48.78.8 years. The healthy control group included 23 cases (11 (47.8%) female, 12 (52.1%) males, mean age 46.44.4 years). Twenty-one of the 61 patients (34.4%) were admitted to the ICU, and sixteen of them (26.2%) died. Thirty-three (54.10%) patients with COVID-19 were hospitalized for less than 7 days, and 28 (45.90%) of them were hospitalized for 7 days. Our results show that length of hospital stay in the no-ICU group was significantly lower than the ICU admission or death groups (6.490.24 vs. 8.851.59 and 10.531.80, p = 0.0002). The levels of C3, C4, and CH50 were determined through the immunoturbidimetric method and single-radial-haemolysis plates, respectively, on serum samples obtained from patients at the time of admission or those in the control group. Our results indicate that C3, C4 and CH50 levels were markedly lower in COVID-19 patients than in the control group. We also found that complement parameter levels in COVID-19 patients who died or were admitted to ICU were significantly lower than in non-ICU COVID-19 patients. In general, it seems that serum level of C3, C4, and CH50 at admission may predict disease progression or adverse clinical outcome in COVID-19 patients.

Declining COVID-19 case-fatality in Georgia, USA, March 2020 to March 2021: a sign of real improvement or a broadening epidemic?

PURPOSE

To examine whether declines in the crude U.S. COVID-19 case fatality ratio is due to improved clinical care and/or other factors.

METHODS

We used multivariable logistic regression, adjusted for age and other individual-level characteristics, to examine associations between report month and mortality among confirmed and probable COVID-19 cases and hospitalized cases in Georgia reported March 2, 2020 to March 31, 2021.

RESULTS

Compared to August 2020, mortality risk among cases was lowest in November 2020 (OR = 0.84; 95% CI: 0.78-0.91) and remained lower until March 2021 (OR = 0.86; 95% CI: 0.77-0.95). Among hospitalized cases, mortality risk increased in December 2020 (OR = 1.16, 95% CI: 1.07-1.27) and January 2021 (OR = 1.25; 95% CI: 1.14-1.36), before declining until March 2021 (OR = 0.90, 95% CI: 0.78-1.04).

CONCLUSIONS

After adjusting for other factors, including the shift to a younger age distribution of cases, we observed lower mortality risk from November 2020 to March 2021 compared to August 2020 among cases. This suggests that improved clinical management may have contributed to lower mortality risk. Among hospitalized cases, mortality risk increased again in December 2020 and January 2021, but then decreased to a risk similar to that among all cases by March 2021.

A dual-center cohort study on the association between early deep sedation and clinical outcomes in mechanically ventilated patients during the COVID-19 pandemic: The COVID-SED study

BACKGROUND

Mechanically ventilated patients have experienced greater periods of prolonged deep sedation during the coronavirus disease (COVID-19) pandemic. Multiple studies from the pre-COVID era demonstrate that early deep sedation is associated with worse outcome. Despite this, there is a lack of data on sedation depth and its impact on outcome for mechanically ventilated patients during the COVID-19 pandemic. We sought to characterize the emergency department (ED) and intensive care unit (ICU) sedation practices during the COVID-19 pandemic, and to determine if early deep sedation was associated with worse clinical outcomes.

STUDY DESIGN AND METHODS

Dual-center, retrospective cohort study conducted over 6 months (March-August, 2020), involving consecutive, mechanically ventilated adults. All sedation-related data during the first 48 h were collected. Deep sedation was defined as Richmond Agitation-Sedation Scale of - 3 to - 5 or Riker Sedation-Agitation Scale of 1-3. To examine impact of early sedation depth on hospital mortality (primary outcome), we used a multivariable logistic regression model. Secondary outcomes included ventilator-, ICU-, and hospital-free days.

RESULTS

391 patients were studied, and 283 (72.4%) experienced early deep sedation. Deeply sedated patients received higher cumulative doses of fentanyl, propofol, midazolam, and ketamine when compared to light sedation. Deep sedation patients experienced fewer ventilator-, ICU-, and hospital-free days, and greater mortality (30.4% versus 11.1%) when compared to light sedation (p < 0.01 for all). After adjusting for confounders, early deep sedation remained significantly associated with higher mortality (adjusted OR 3.44; 95% CI 1.65-7.17; p < 0.01). These results were stable in the subgroup of patients with COVID-19.

CONCLUSIONS

The management of sedation for mechanically ventilated patients in the ICU has changed during the COVID pandemic. Early deep sedation is common and independently associated with worse clinical outcomes. A protocol-driven approach to sedation, targeting light sedation as early as possible, should continue to remain the default approach.

Poverty, Comorbidity, and Ethnicity: COVID-19 Outcomes in a Safety Net Health System

Objective

To determine if race-ethnicity is correlated with case-fatality rates among low-income patients hospitalized for COVID-19.

Research Design

Observational cohort study using electronic health record data.

Patients

All patients assessed for COVID-19 from March 2020 to January 2021 at one safety net health system.

Measures

Patient demographic and clinical characteristics, and hospital care processes and outcomes.

Results

Among 25,253 patients assessed for COVID-19, 6,357 (25.2%) were COVID-19 positive: 1,480 (23.3%) hospitalized; 334 (22.6%) required intensive care; and 106 (7.3%) died. More Hispanic patients tested positive (51.8%) than non-Hispanic Black (31.4%) and White patients (16.7%, P<.001]. Hospitalized Hispanic patients were younger, more often uninsured, and less likely to have comorbid conditions. Non-Hispanic Black patients had significantly more diabetes, hypertension, obesity, chronic kidney disease, and asthma (P<.05). Non-Hispanic White patients were older and had more cigarette smoking history, COPD, and cancer. Non-Hispanic White patients were more likely to receive intensive care (29.6% vs 21.1% vs 20.8%, P=.007) and more likely to die (12% vs 7.3% vs 3.5%, P<.001) compared with non-Hispanic Black and Hispanic patients, respectively. Length of stay was similar for all groups. In logistic regression models, Medicaid insurance status independently correlated with hospitalization (OR 3.67, P<.001) while only age (OR 1.076, P<.001) and cerebrovascular disease independently correlated with in-hospital mortality (OR 2.887, P=.002).

Conclusions

Observed COVID-19 in-hospital mortality rate was lower than most published rates. Age, but not race-ethnicity, was independently correlated with in-hospital mortality. Safety net health systems are foundational in the care of vulnerable patients suffering from COVID-19, including patients from under-represented and low-income groups.

Pregnancy and the Risk of In-Hospital Coronavirus Disease 2019 (COVID-19) Mortality

OBJECTIVE

To evaluate whether pregnancy is an independent risk factor for in-hospital mortality among patients of reproductive age hospitalized with coronavirus disease 2019 (COVID-19) viral pneumonia.

METHODS

We conducted a retrospective cohort study (April 2020-May 2021) of 23,574 female inpatients aged 15-45 years with an International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code for COVID-19 discharged from 749 U.S. hospitals in the Premier Healthcare Database. We used a viral pneumonia diagnosis to select for patients with symptomatic COVID-19. The associations between pregnancy and in-hospital mortality, intensive care unit (ICU) admission, and mechanical ventilation were analyzed using propensity score-matched conditional logistic regression. Models were matched for age, marital status, race and ethnicity, Elixhauser comorbidity score, payer, hospital number of beds, season of discharge, hospital region, obesity, hypertension, diabetes mellitus, chronic pulmonary disease, deficiency anemias, depression, hypothyroidism, and liver disease.

RESULTS

In-hospital mortality occurred in 1.1% of pregnant patients and 3.5% of nonpregnant patients hospitalized with COVID-19 and viral pneumonia (propensity score-matched odds ratio [OR] 0.39, 95% CI 0.25-0.63). The frequency of ICU admission for pregnant and nonpregnant patients was 22.0% and 17.7%, respectively (OR 1.34, 95% CI 1.15-1.55). Mechanical ventilation was used in 8.7% of both pregnant and nonpregnant patients (OR 1.05, 95% CI 0.86-1.29). Among patients who were admitted to an ICU, mortality was lower for pregnant compared with nonpregnant patients (OR 0.33, 95% CI 0.20-0.57), though mechanical ventilation rates were similar (35.7% vs 38.3%, OR 0.90, 95% CI 0.70-1.16). Among patients with mechanical ventilation, pregnant patients had a reduced risk of in-hospital mortality compared with nonpregnant patients (0.26, 95% CI 0.15-0.46).

CONCLUSION

Despite a higher frequency of ICU admission, in-hospital mortality was lower among pregnant patients compared with nonpregnant patients with COVID-19 viral pneumonia, and these findings persisted after propensity score matching.

Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study

BACKGROUND AND AIMS

Limited data exist on the cardiovascular manifestations and risk factors in people hospitalized with COVID-19 from low- and middle-income countries. This study aims to describe cardiovascular risk factors, clinical manifestations, and outcomes among patients hospitalized with COVID-19 in low, lower-middle, upper-middle- and high-income countries (LIC, LMIC, UMIC, HIC).

METHODS

Through a prospective cohort study, data on demographics and pre-existing conditions at hospital admission, clinical outcomes at hospital discharge (death, major adverse cardiovascular events (MACE), renal failure, neurological events, and pulmonary outcomes), 30-day vital status, and re-hospitalization were collected. Descriptive analyses and multivariable log-binomial regression models, adjusted for age, sex, ethnicity/income groups, and clinical characteristics, were performed.

RESULTS

Forty hospitals from 23 countries recruited 5,313 patients with COVID-19 (LIC = 7.1%, LMIC = 47.5%, UMIC = 19.6%, HIC = 25.7%). Mean age was 57.0 (±16.1) years, male 59.4%, pre-existing conditions included: hypertension 47.3%, diabetes 32.0%, coronary heart disease 10.9%, and heart failure 5.5%. The most frequently reported cardiovascular discharge diagnoses were cardiac arrest (5.5%), acute heart failure (3.8%), and myocardial infarction (1.6%). The rate of in-hospital deaths was 12.9% (N = 683), and post-discharge 30 days deaths was 2.6% (N = 118) (overall death rate 15.1%). The most common causes of death were respiratory failure (39.3%) and sudden cardiac death (20.0%). The predictors of overall mortality included older age (≥60 years), male sex, pre-existing coronary heart disease, renal disease, diabetes, ICU admission, oxygen therapy, and higher respiratory rates (p < 0.001 for each). Compared to Caucasians, Asians, Blacks, and Hispanics had almost 2-4 times higher risk of death. Further, patients from LIC, LMIC, UMIC versus. HIC had 2-3 times increased risk of death.

CONCLUSIONS

The LIC, LMIC, and UMIC's have sparse data on COVID-19. We provide robust evidence on COVID-19 outcomes in these countries. This study can help guide future health care planning for the pandemic globally.

Racial and Ethnic Disparities in Hospitalization Outcomes Among Medicare Beneficiaries During the COVID-19 Pandemic

Question

How did hospitalizations and racial and ethnic disparities in hospitalization outcomes change during the COVID-19 pandemic among patients with traditional Medicare?

Findings

In this cohort study using 100% traditional Medicare inpatient data, comprising 31 771 054 beneficiaries and 14 021 285 hospitalizations from January 2019 through February 2021, the decline in non–COVID-19 and emergence of COVID-19 hospitalizations during the pandemic was qualitatively similar among beneficiaries of different racial and ethnic minority groups. In-hospital mortality for patients with COVID-19 was higher in racial and ethnic minority groups than in White patients, driven by a Hispanic-White gap; mortality among non–COVID-19 hospitalizations also differentially increased among patients in racial and ethnic minority groups relative to White patients, driven by an increased Black-White gap.

Meaning

Racial and ethnic disparities in mortality were evident among COVID-19 hospitalizations and widened among non–COVID-19 hospitalizations among Medicare beneficiaries, motivating greater attention to health equity.

Importance

The COVID-19 pandemic has disproportionately affected racial and ethnic minority populations. However, racial and ethnic disparities in hospitalization outcomes during the pandemic—for both COVID-19 and non-COVID-19 hospitalizations—are poorly understood, especially among older populations.

Objective

To assess racial and ethnic differences in hospitalization outcomes during the COVID-19 pandemic among Medicare beneficiaries.

Design, Setting, and Participants

In the 100% traditional Medicare inpatient data, there were 31 771 054 unique beneficiaries in cross-section just before the pandemic (February 2020), among whom 26 225 623 were non-Hispanic White, 2 797 462 were Black, 692 994 were Hispanic, and 2 054 975 belonged to other racial and ethnic minority groups. There were 14 021 285 hospitalizations from January 2019 through February 2021, of which 11 353 581 were among non-Hispanic White beneficiaries, 1 656 856 among Black beneficiaries, 321 090 among Hispanic beneficiaries, and 689 758 among beneficiaries of other racial and ethnic minority groups. Sensitivity analyses tested expanded definitions of mortality and alternative model specifications.

Exposures

Race and ethnicity in Medicare claims from the Social Security Administration.

Main Outcomes and Measures

In-hospital mortality and mortality inclusive of discharges to hospice, deaths during 30-day readmissions, and 30-day all-cause mortality. Secondary outcomes included discharges to hospice and discharges to postacute care.

Results

The decline in non–COVID-19 and emergence of COVID-19 hospitalizations were qualitatively similar among beneficiaries of different racial and ethnic minority groups through February 2021. In-hospital COVID-19 mortality was not significantly different among Black patients relative to White patients, but was 3.5 percentage points higher among Hispanic patients (95% CI, 2.9-4.1; P < .001) and other racial and ethnic minority patients relative to White counterparts (95% CI, 3.0-4.1; P < .001). For non–COVID-19 hospitalizations, in-hospital mortality among Black patients increased by 0.5 percentage points more than it increased among White patients (95% CI, 0.3-0.6; P < .001), a 17.5% differential increase relative to the prepandemic baseline. This gap was robust to expanded definitions of mortality. Hispanic patients had similar differential increases in expanded definitions of mortality and model specification. Disparities in discharges to hospice and postacute care were evident. In aggregate across COVID-19 and non–COVID-19 hospitalizations, mortality differentially increased among racial and ethnic minority populations during the pandemic.

Conclusions and Relevance

In this cohort study, racial and ethnic disparities in mortality were evident among COVID-19 hospitalizations and widened among non–COVID-19 hospitalizations, motivating greater attention to health equity.

Utilization and Outcomes of Acute Revascularization Treatment in Ischemic Stroke Patients with SARS-CoV-2 Infection

Objectives

Acute ischemic stroke patients with severe acute respiratory syndrome coronavirus maybe candidates for acute revascularization treatments (intravenous thrombolysis and/or mechanical thrombectomy).

Materials and Methods

We analyzed the data from 62 healthcare facilities to determine the odds of receiving acute revascularization treatments in severe acute respiratory syndrome coronavirus infected patients and determined the odds of composite of death and non-routine discharge with severe acute respiratory syndrome coronavirus infected and non-infected patients undergoing acute revascularization treatments after adjusting for potential confounders.

Results

Acute ischemic stroke patients with severe acute respiratory syndrome coronavirus infection were significantly less likely to receive acute revascularization treatments (odds ratio 0.6, 95% confidence interval 0.5–0.8, p = 0.0001). Among ischemic stroke patients who received acute revascularization treatments, severe acute respiratory syndrome coronavirus infection was associated with increased odds of death or non-routine discharge (odds ratio 3.0, 95% confidence interval 1.8–5.1). The higher odds death or non-routine discharge (odds ratio 2.1, 95% confidence interval 1.9–2.3) with severe acute respiratory syndrome coronavirus infection were observed in all ischemic stroke patients without any modifying effect of acute revascularization treatments (interaction term for death (p = 0.9) or death or non-routine discharge (p = 0.2).

Conclusions

Patients with acute ischemic stroke with severe acute respiratory syndrome coronavirus infection were significantly less likely to receive acute revascularization treatments. Severe acute respiratory syndrome coronavirus infection was associated with a significantly higher rate of death or non-routine discharge among acute ischemic stroke patients receiving revascularization treatments.