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10.1002/cncr.33335 http://scihub22266oqcxt.onion/10.1002/cncr.33335 33294978!8504148!33294978     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cancer 2021 ; 127 (7): 1057-1067 Nephropedia Template TP {{tp|p=33294978|t=2021. Racial disparities in patients with coronavirus disease 2019 infection and gynecologic malignancy |pdf=|usr=}}{{33294978}} gab.com Text Racial disparities in patients with coronavirus disease 2019 infection and gynecologic malignancy JO: Cancer http://www.kidney.de/pget.php?&tw=1&pmid=33294978 #FOAvip 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. Twit Text FOAVip Racial disparities in patients with coronavirus disease 2019 infection and gynecologic malignancy ????Cancer http://www.kidney.de/pget.php?&tw=1&pmid=33294978 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33294978 #FOAvip English Wikipedia <ref>{{Cite pmid|33294978}}</ref> Racial disparities in patients with coronavirus disease 2019 infection and gynecologic malignancy #MMPMID33294978 Lara OD; Smith MJ; Wang Y; O'Cearbhaill R; Blank SV; Kolev V; Carr C; Knisely A; McEachron J; Gabor L; Chapman-Davis E; Jee J; Fehniger J; Lee YC; Isani S; Liu M; Wright JD; Pothuri B Cancer 2021[Apr]; 127 (7): 1057-1067 PMID33294978show ga 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. |*Health Status Disparities[MESH] |Adult[MESH] |Aged[MESH] |Black or African American/*statistics & numerical data[MESH] |COVID-19/complications/*ethnology/virology[MESH] |Female[MESH] |Genital Neoplasms, Female/complications/*ethnology[MESH] |Hospitalization/statistics & numerical data[MESH] |Humans[MESH] |Logistic Models[MESH] |Middle Aged[MESH] |Multivariate Analysis[MESH] |New York City[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH] |SARS-CoV-2/physiology[MESH] |Survival Analysis[MESH]Racial disparities in patients with coronavirus disease 2019 infection(epmc).pdf DeepDyve Pubget Overpricing