COVID-19在癌症患者和非癌症患者中的应用:研究患者特征和预后的差异。

Journal of cancer biology Pub Date : 2021-01-01 Epub Date: 2021-03-18 DOI:10.46439/cancerbiology.2.019
Nihal E Mohamed, Emma Kt Benn, Varuna Astha, Qainat N Shah, Yasmine Gharib, Holden E Kata, Heather Honore-Goltz, Zachary Dovey, Natasha Kyprianou, Ashutosh K Tewari
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摘要

本研究探讨了癌症患者和非癌症患者在人口统计学和临床特征以及 COVID-19 死亡率方面的差异,并讨论了这些差异对现有癌症差异和 COVID-19 易感性的影响。作为回顾性研究的一部分,我们收集了 2020 年 3 月 28 日至 2020 年 4 月 26 日期间西奈山卫生系统 COVID-19 阳性患者队列的数据。研究人员使用 SAS 9.4 进行了描述性分析、比较分析和回归分析,以检验癌症患者和非癌症患者在人口统计学特征、临床特征和 COVID-19 死亡率方面的差异,以及在控制这些协变量的情况下,癌症状态是否能预测 COVID-19 死亡率。结果显示,在 4641 名 COVID-19 检测呈阳性的患者中,5.1%(N=236)患有癌症。总样本的中位年龄为 58 岁(Q1-Q3:41-71);55.3% 为男性,19.2% 目前/曾经吸烟,6.1% 肥胖。最常见的合并症是高血压(22.6%)和糖尿病(16.0%)。总体而言,COVID-19 的死亡率为 8.3%。通过研究 COVID-19 癌症患者与非癌症患者之间的差异,发现两者之间存在显著差异(p
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COVID-19 in patients with and without cancer: Examining differences in patient characteristics and outcomes.

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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