Erdal Gulcin Sahingoz, Polat Ozlem, Erdem Gokmen Umut, Korkusuz Ramazan, Hindilerden Fehmi, Yilmaz Mesut, Yasar Kadriye Kart, Isiksacan Nilgun, Tural Deniz
Department of Oncology, Bakırköy dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, dr. Tevfik Saglam Street No: 11, 34147, Istanbul, Turkey.
Department of Family Medicine, Bakırköy dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Int J Clin Oncol. 2021 May;26(5):826-834. doi: 10.1007/s10147-021-01863-6. Epub 2021 Jan 24.
Coronavirus disease 2019 (COVID-19) has quickly turned into a global pandemic with close to 5 million cases and more than 320,000 deaths. Cancer patients constitute a group that is expected to be at risk and poor prognosis in COVID pandemic. We aimed to investigate how cancer patients are affected by COVID-19 infection, its clinical course and the factors affecting mortality.
In our single-center retrospective study, we included cancer patients with laboratory confirmed COVID-19 in our hospital. Demographic, clinical, treatment, and laboratory data were obtained from electronic medical records. Logistic regression methods were used to investigate risk factors associated with in-hospital death.
In the hospital, 4489 patients were hospitalized with COVID infection and 77 were cancer patients. The mean age of cancer patients was 61.9 ± 10.9 and 44 of them were male (62%). While the mortality rate in non-cancer patients was 1.51% (n = 68), this rate was significantly higher in cancer patients, 23.9% (n = 17). The stage of the disease, receiving chemotherapy in the last 30 days also lymphopenia, elevated troponin I, D-dimer, CRP, and CT findings were associated with severe disease and mortality. Severe lung involvement (OR = 22.9, p = 0.01) and lymphopenia (OR = 0.99, p = 0.04) are the most important factors influencing survival in logistic regression.
The disease is more severe in cancer patients and mortality is significantly higher than non-cancer patients. These data show that it may be beneficial to develop dynamic prevention, early diagnosis and treatment strategies for this vulnerable group of patients who are affected by the infection so much.
2019年冠状病毒病(COVID-19)已迅速演变成一场全球大流行,病例接近500万,死亡超过32万。癌症患者是预计在COVID大流行中处于风险且预后不良的群体。我们旨在调查癌症患者如何受到COVID-19感染的影响、其临床病程以及影响死亡率的因素。
在我们的单中心回顾性研究中,纳入了我院实验室确诊为COVID-19的癌症患者。从电子病历中获取人口统计学、临床、治疗和实验室数据。采用逻辑回归方法调查与院内死亡相关的危险因素。
在医院中,4489例患者因COVID感染住院,其中77例为癌症患者。癌症患者的平均年龄为61.9±10.9岁,其中44例为男性(62%)。非癌症患者的死亡率为1.51%(n = 68),而癌症患者的这一比率显著更高,为23.9%(n = 17)。疾病分期、过去30天内接受化疗、淋巴细胞减少、肌钙蛋白I升高、D-二聚体、CRP以及CT表现与严重疾病和死亡率相关。在逻辑回归中,严重肺部受累(OR = 22.9,p = 0.01)和淋巴细胞减少(OR = 0.99,p = 0.04)是影响生存的最重要因素。
该疾病在癌症患者中更为严重,死亡率显著高于非癌症患者。这些数据表明,为受感染影响极大的这一弱势群体制定动态预防、早期诊断和治疗策略可能是有益的。