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      Assessment of Racial/Ethnic Disparities in Hospitalization and Mortality in Patients With COVID-19 in New York City

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          Key Points

          Question

          Do outcomes among patients with coronavirus disease 2019 (COVID-19) differ by race/ethnicity, and are observed disparities associated with comorbidity and neighborhood characteristics?

          Findings

          This cohort study including 9722 patients found that Black and Hispanic patients were more likely than White patients to test positive for COVID-19. Among patients hospitalized with COVID-19 infection, Black patients were less likely than White patients to have severe illness and to die or be discharged to hospice.

          Meaning

          Although Black patients were more likely than White patients to test positive for COVID-19, after hospitalization they had lower mortality, suggesting that neighborhood characteristics may explain the disproportionately higher out-of-hospital COVID-19 mortality among Black individuals.

          Abstract

          This cohort study of patients testing positive for COVID-19 in a large New York City health system compares rates of hospitalization, critical illness, mortality across racial/ethnic categories.

          Abstract

          Importance

          Black and Hispanic populations have higher rates of coronavirus disease 2019 (COVID-19) hospitalization and mortality than White populations but lower in-hospital case-fatality rates. The extent to which neighborhood characteristics and comorbidity explain these disparities is unclear. Outcomes in Asian American populations have not been explored.

          Objective

          To compare COVID-19 outcomes based on race and ethnicity and assess the association of any disparities with comorbidity and neighborhood characteristics.

          Design, Setting, and Participants

          This retrospective cohort study was conducted within the New York University Langone Health system, which includes over 260 outpatient practices and 4 acute care hospitals. All patients within the system’s integrated health record who were tested for severe acute respiratory syndrome coronavirus 2 between March 1, 2020, and April 8, 2020, were identified and followed up through May 13, 2020. Data were analyzed in June 2020. Among 11 547 patients tested, outcomes were compared by race and ethnicity and examined against differences by age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status.

          Exposures

          Race and ethnicity categorized using self-reported electronic health record data (ie, non-Hispanic White, non-Hispanic Black, Hispanic, Asian, and multiracial/other patients).

          Main Outcomes and Measures

          The likelihood of receiving a positive test, hospitalization, and critical illness (defined as a composite of care in the intensive care unit, use of mechanical ventilation, discharge to hospice, or death).

          Results

          Among 9722 patients (mean [SD] age, 50.7 [17.5] years; 58.8% women), 4843 (49.8%) were positive for COVID-19; 2623 (54.2%) of those were admitted for hospitalization (1047 [39.9%] White, 375 [14.3%] Black, 715 [27.3%] Hispanic, 180 [6.9%] Asian, 207 [7.9%] multiracial/other). In fully adjusted models, Black patients (odds ratio [OR], 1.3; 95% CI, 1.2-1.6) and Hispanic patients (OR, 1.5; 95% CI, 1.3-1.7) were more likely than White patients to test positive. Among those who tested positive, odds of hospitalization were similar among White, Hispanic, and Black patients, but higher among Asian (OR, 1.6, 95% CI, 1.1-2.3) and multiracial patients (OR, 1.4; 95% CI, 1.0-1.9) compared with White patients. Among those hospitalized, Black patients were less likely than White patients to have severe illness (OR, 0.6; 95% CI, 0.4-0.8) and to die or be discharged to hospice (hazard ratio, 0.7; 95% CI, 0.6-0.9).

          Conclusions and Relevance

          In this cohort study of patients in a large health system in New York City, Black and Hispanic patients were more likely, and Asian patients less likely, than White patients to test positive; once hospitalized, Black patients were less likely than White patients to have critical illness or die after adjustment for comorbidity and neighborhood characteristics. This supports the assertion that existing structural determinants pervasive in Black and Hispanic communities may explain the disproportionately higher out-of-hospital deaths due to COVID-19 infections in these populations.

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          Most cited references31

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          Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area

          There is limited information describing the presenting characteristics and outcomes of US patients requiring hospitalization for coronavirus disease 2019 (COVID-19).
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            Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study

            Abstract Objective To describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness. Design Prospective cohort study. Setting Single academic medical center in New York City and Long Island. Participants 5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020. Main outcome measures Outcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality. Results Of 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of >2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI >40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of 1 (4.8, 2.1 to 10.9), C reactive protein level >200 (5.1, 2.8 to 9.2), and D-dimer level >2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone. Conclusions Age and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.
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              COVID-19 and Racial/Ethnic Disparities

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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                4 December 2020
                December 2020
                4 December 2020
                : 3
                : 12
                : e2026881
                Affiliations
                [1 ]Department of Population Health, New York University Grossman School of Medicine, New York
                [2 ]Department of Medicine, New York University Grossman School of Medicine, New York
                [3 ]Associate Editor, JAMA Network Open
                [4 ]Department of Psychiatry, New York University Grossman School of Medicine, New York
                Author notes
                Article Information
                Accepted for Publication: September 20, 2020.
                Published: December 4, 2020. doi:10.1001/jamanetworkopen.2020.26881
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Ogedegbe G et al. JAMA Network Open.
                Corresponding Author: Gbenga Ogedegbe, MD, MPH, Department of Population Health, NYU Grossman School of Medicine, New York, NY ( Olugbenga.ogedegbe@ 123456nyulangone.org ).
                Author Contributions : Drs Ogedegbe and Horwitz had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Ogedegbe, Francois, Jones, Reynolds, Horwitz.
                Acquisition, analysis, or interpretation of data: Ogedegbe, Ravenell, Adhikari, Butler, Cook, Iturrate, Jean-Louis, Jones, Onakomaiya, Petrilli, Pulgarin, Regan, Reynolds, Seixas, Volpicelli, Horwitz.
                Drafting of the manuscript: Ogedegbe, Ravenell, Adhikari, Butler, Cook, Francois, Jones, Onakomaiya, Regan, Volpicelli, Horwitz.
                Critical revision of the manuscript for important intellectual content: Ravenell, Cook, Francois, Iturrate, Jean-Louis, Jones, Petrilli, Pulgarin, Reynolds, Seixas.
                Statistical analysis: Ogedegbe, Adhikari, Butler, Francois, Jean-Louis, Jones, Pulgarin, Regan, Horwitz.
                Administrative, technical, or material support: Ogedegbe, Ravenell, Francois, Iturrate, Onakomaiya, Petrilli, Horwitz.
                Supervision: Ogedegbe, Francois, Volpicelli, Horwitz.
                Conflict of Interest Disclosures: None reported.
                Disclaimer: Dr Ogedegbe, the first author and corresponding author of this manuscript, is also an associate editor at JAMA Network Open. He was not involved in the editorial review or decision to accept this article.
                Article
                zoi200865
                10.1001/jamanetworkopen.2020.26881
                7718605
                33275153
                aff0b1e4-a666-4545-b1af-90551bf5566d
                Copyright 2020 Ogedegbe G et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 10 July 2020
                : 29 September 2020
                Categories
                Research
                Original Investigation
                Online Only
                Infectious Diseases

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