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COVID-19 in patients with and without cancer: Examining differences in patient characteristics and outcomes.
Mohamed, Nihal E; Benn, Emma Kt; Astha, Varuna; Shah, Qainat N; Gharib, Yasmine; Kata, Holden E; Honore-Goltz, Heather; Dovey, Zachary; Kyprianou, Natasha; Tewari, Ashutosh K.
Affiliation
  • Mohamed NE; Department of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Benn EK; Center for Biostatistics and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Astha V; Center for Biostatistics and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Shah QN; Department of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gharib Y; Department of Medical Education, Albany Medical College, Albany, NY, USA.
  • Kata HE; Department of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Honore-Goltz H; Department of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Dovey Z; Department of Criminal Justice and Social Work, University of Houston-Downtown, Houston, TX, USA.
  • Kyprianou N; Department of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Tewari AK; Department of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
J Cancer Biol ; 2(1): 25-32, 2021.
Article in En | MEDLINE | ID: mdl-34447972
This study examines differences between patients with and without cancer in patient demographic and clinical characteristics and COVID-19 mortality and discusses the implications of these differences in relation to existing cancer disparities and COVID-19 vulnerabilities. Data was collected as a part of a retrospective study on a cohort of COVID-19 positive patients across Mount Sinai Health System from March 28, 2020 to April 26, 2020. Descriptive, comparative, and regression analyses were applied to examine differences between patients with and without cancer in demographic and clinical characteristics and COVID-19 mortality and whether cancer status predicts COVID-19 mortality controlling for these covariates using SAS 9.4. Results showed that, of 4641 patients who tested positive for COVID-19, 5.1% (N=236) had cancer. The median age of the total sample was 58 years (Q1-Q3: 41-71); 55.3% were male, 19.2% were current/former smokers, 6.1% were obese. The most commonly reported comorbidities were hypertension (22.6%) and diabetes (16.0%). Overall, the COVID-19 mortality rate was 8.3%. Examining differences between COVID-19 patients with and without cancer revealed significant differences (p<0.05) in COVID-19 mortality, hospitalization rates, age, gender, race, smoking status, obesity, and comorbidity indicators (e.g., diabetes) with cancer patients more likely to be older, male, black, obese, smokers, and with existing comorbidities. Controlling for these clinical, demographic, and behavioral characteristics, results of logistic regression analyses showed significant effects of older age and male gender on COVID-19 mortality (p<0.05). While cancer patients with COVID-19 were more likely to experience worse COVID-19 outcomes, these associations might be related to common cancer and COVID-19 vulnerability factors such as older age and gender. The coexistence of these vulnerability age and gender factors in both cancer and COVID-19 populations emphasizes the need for better understanding of their implications for cancer and COVID-19 disparities, both diseases prevention efforts, policies, and clinical management.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Cancer Biol Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Cancer Biol Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States