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Disaggregating Asian Race Reveals COVID-19 Disparities Among Asian American Patients at New York City's Public Hospital System.
Kalyanaraman Marcello, Roopa; Dolle, Johanna; Tariq, Areeba; Kaur, Sharanjit; Wong, Linda; Curcio, Joan; Thachil, Rosy; Yi, Stella S; Islam, Nadia.
  • Kalyanaraman Marcello R; Office of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
  • Dolle J; Office of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
  • Tariq A; Office of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
  • Kaur S; Office of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
  • Wong L; New York City Health + Hospitals/Elmhurst, Queens, NY, USA.
  • Curcio J; New York City Health + Hospitals/Elmhurst, Queens, NY, USA.
  • Thachil R; New York City Health + Hospitals/Jacobi, Bronx, NY, USA.
  • Yi SS; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
  • Islam N; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Public Health Rep ; 137(2): 317-325, 2022.
Article in English | MEDLINE | ID: covidwho-1582749
ABSTRACT

OBJECTIVES:

Data on the health burden of COVID-19 among Asian American people of various ethnic subgroups remain limited. We examined COVID-19 outcomes of people of various Asian ethnic subgroups and other racial and ethnic groups in an urban safety net hospital system.

METHODS:

We conducted a retrospective analysis of 85 328 adults aged ≥18 tested for COVID-19 at New York City's public hospital system from March 1 through May 31, 2020. We examined COVID-19 positivity, hospitalization, and mortality, as well as demographic characteristics and comorbidities known to worsen COVID-19 outcomes. We conducted adjusted multivariable regression analyses examining racial and ethnic disparities in mortality.

RESULTS:

Of 9971 Asian patients (11.7% of patients overall), 48.2% were South Asian, 22.2% were Chinese, and 29.6% were in other Asian ethnic groups. South Asian patients had the highest rates of COVID-19 positivity (30.8%) and hospitalization (51.6%) among Asian patients, second overall only to Hispanic (32.1% and 45.8%, respectively) and non-Hispanic Black (27.5% and 57.5%, respectively) patients. Chinese patients had a mortality rate of 35.7%, highest of all racial and ethnic groups. After adjusting for demographic characteristics and comorbidities, only Chinese patients had significantly higher odds of mortality than non-Hispanic White patients (odds ratio = 1.44; 95% CI, 1.04-2.01).

CONCLUSIONS:

Asian American people, particularly those of South Asian and Chinese descent, bear a substantial and disproportionate health burden of COVID-19. These findings underscore the need for improved data collection and reporting and public health efforts to mitigate disparities in COVID-19 morbidity and mortality among these groups.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Asian Americans / Health Status Disparities / Social Determinants of Health / COVID-19 / Ethnic and Racial Minorities Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America Language: English Journal: Public Health Rep Year: 2022 Document Type: Article Affiliation country: 00333549211061313

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Asian Americans / Health Status Disparities / Social Determinants of Health / COVID-19 / Ethnic and Racial Minorities Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America Language: English Journal: Public Health Rep Year: 2022 Document Type: Article Affiliation country: 00333549211061313