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Racial disparities in patients with coronavirus disease 2019 infection and gynecologic malignancy. | LitMetric

Background: Mounting evidence suggests disproportionate coronavirus disease 2019 (COVID-19) hospitalizations and deaths because of racial disparities. The association of race in a cohort of gynecologic oncology patients with severe acute respiratory syndrome-coronavirus 2 infection is unknown.

Methods: Data were abstracted from gynecologic oncology patients with COVID-19 infection among 8 New York City area hospital systems. A multivariable mixed-effects logistic regression model accounting for county clustering was used to analyze COVID-19-related hospitalization and mortality.

Results: Of 193 patients who had gynecologic cancer and COVID-19, 67 (34.7%) were Black, and 126 (65.3%) were non-Black. Black patients were more likely to require hospitalization compared with non-Black patients (71.6% [48 of 67] vs 46.0% [58 of 126]; P = .001). Of 34 (17.6%) patients who died from COVID-19, 14 (41.2%) were Black. Among those who were hospitalized, compared with non-Black patients, Black patients were more likely to: have ≥3 comorbidities (81.1% [30 of 37] vs 59.2% [29 of 49]; P = .05), to reside in Brooklyn (81.0% [17 of 21] vs 44.4% [12 of 27]; P = .02), to live with family (69.4% [25 of 36] vs 41.6% [37 of 89]; P = .009), and to have public insurance (79.6% [39 of 49] vs 53.4% [39 of 73]; P = .006). In multivariable analysis, among patients aged <65 years, Black patients were more likely to require hospitalization compared with non-Black patients (odds ratio, 4.87; 95% CI, 1.82-12.99; P = .002).

Conclusions: Although Black patients represented only one-third of patients with gynecologic cancer, they accounted for disproportionate rates of hospitalization (>45%) and death (>40%) because of COVID-19 infection; younger Black patients had a nearly 5-fold greater risk of hospitalization. Efforts to understand and improve these disparities in COVID-19 outcomes among Black patients are critical.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504148PMC
http://dx.doi.org/10.1002/cncr.33335DOI Listing

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