Racial difference in mortality among COVID-19 hospitalizations in California

Author:

Rubens Muni,Ramamoorthy Venkataraghavan,Saxena Anshul,Zevallos Juan Carlos,Pelaez Juan Gabriel Ruiz,Ahmed Md Ashfaq,Zhang Zhenwei,McGranaghan Peter,Chaparro Sandra,Jimenez Javier

Abstract

AbstractIn the US, racial disparities in hospital outcomes are well documented. We explored whether race was associated with all-cause in-hospital mortality and intensive care unit (ICU) admission among COVID-19 patients in California. This was a retrospective analysis of California State Inpatient Database during 2020. Hospitalizations ≥ 18 years of age for COVID-19 were included. Cox proportional hazards with mixed effects were used for associations between race and in-hospital mortality. Logistic regression was used for the association between race and ICU admission. Among 87,934 COVID-19 hospitalizations, majority were Hispanics (56.5%), followed by White (27.3%), Asian, Pacific Islander, Native American (9.9%), and Black (6.3%). Cox regression showed higher mortality risk among Hispanics, compared to Whites (hazard ratio, 0.91; 95% CI 0.87–0.96), Blacks (hazard ratio, 0.87; 95% CI 0.79–0.94), and Asian, Pacific Islander, Native American (hazard ratio, 0.89; 95% CI 0.83–0.95). Logistic regression showed that the odds of ICU admission were significantly higher among Hispanics, compared to Whites (OR, 1.70; 95% CI 1.67–1.74), Blacks (OR, 1.70; 95% CI 1.64–1.78), and Asian, Pacific Islander, Native American (OR, 1.82; 95% CI 1.76–1.89). We found significant disparities in mortality among COVID-19 hospitalizations in California. Hispanics were the worst affected with the highest mortality and ICU admission rates.

Funder

Charité - Universitätsmedizin Berlin

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference25 articles.

1. John Hopkins Coronavirus Resource Center. https://coronavirus.jhu.edu/us-map. Accessed Jul 13, 2022.

2. Vahidy, F. S. et al. Racial and ethnic disparities in SARS-CoV-2 pandemic: Analysis of a COVID-19 observational registry for a diverse US metropolitan population. BMJ Open. 10(8), e039849 (2020).

3. Reyes, C., Husain, N., Gutowski, C., St Clair, S. & Pratt, G. Chicago’s coronavirus disparity: Black Chicagoans are dying at nearly six times the rate of white residents, data show. Chicago Tribune 7, 2020 (2020).

4. Rodriguez-Diaz, C. E. et al. Risk for COVID-19 infection and death among Latinos in the United States: Examining heterogeneity in transmission dynamics. Ann. Epidemiol. 52(46–53), e42 (2020).

5. Price-Haywood, E. G., Burton, J., Fort, D. & Seoane, L. Hospitalization and mortality among black patients and white patients with Covid-19. New England J. Med. 382(26), 2534–2543 (2020).

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