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1294 例新发癌症患者 COVID-19 的临床特征和结局:来自伊朗的单中心前瞻性队列研究。

Clinical Characteristics and Outcomes of COVID-19 in 1294 New Cancer Patients: Single-Center, Prospective Cohort Study from Iran.

机构信息

Cancer Research Center, Babol University of Medical Sciences, Babol, Iran.

Resident of Radiation Oncology, Babol University of Medical Sciences, Babol, Iran.

出版信息

Cancer Invest. 2022 Jul;40(6):505-515. doi: 10.1080/07357907.2022.2075376. Epub 2022 May 30.

Abstract

OBJECTIVE

To determine the clinical characteristics and outcomes of COVID-19 in a large cohort of new cancer patients referred to an oncology clinic in the north of Iran.

METHODS

During the 20-month COVID-19 pandemic, new cancer patients were followed-up. Demographic, pathologic, and clinical variables were collected for each patient. COVID-19 was confirmed based on a positive polymerase chain reaction test. Analyses were performed using the STATA version 14.0 at a significance level of 0.05.

RESULTS

In this study, 1294 new cancer patients were followed for 24 months (mean age: 58.7 years [range 10-95]). During the study period, COVID-19 was diagnosed in 9.4% of the patients with hospitalization rate of 3.4%, an ICU admission rate of 0.7%, and COVID-19 mortality rate of 4.9%. Hematological malignancies (OR= 2.6, CI95% 1.28-5.34), receiving palliative treatments (OR=3.03, CI95% 1.6-5.45) and receiving radiotherapy (OR=2.07, 1.17-3.65) were the most common predictive factors of COVID infection in cancer patients. Also, the COVID mortality was higher in brain cancer patients ( = 0.07), metastatic disease ( = 0.01) and patients receiving palliative treatments ( = 0.02).

CONCLUSION

In patients suffering from cancer, COVID-19 infection can be predicted by cancer type, palliative care, and radiotherapy in cancer patients. Furthermore, brain cancers, metastasis, and palliative care were all associated with COVID-19-related mortality.

摘要

目的

确定在伊朗北部一家肿瘤诊所就诊的大量新发癌症患者中 COVID-19 的临床特征和结局。

方法

在 COVID-19 大流行的 20 个月期间,对新发癌症患者进行了随访。收集每位患者的人口统计学、病理和临床变量。COVID-19 的确诊基于聚合酶链反应检测阳性。使用 STATA 版本 14.0 进行分析,显著性水平为 0.05。

结果

本研究中,对 1294 例新发癌症患者进行了 24 个月的随访(平均年龄:58.7 岁[范围 10-95])。在研究期间,9.4%的患者被诊断为 COVID-19,住院率为 3.4%,重症监护病房入院率为 0.7%,COVID-19 死亡率为 4.9%。血液恶性肿瘤(OR=2.6,95%CI95%1.28-5.34)、姑息治疗(OR=3.03,95%CI95%1.6-5.45)和放疗(OR=2.07,1.17-3.65)是癌症患者 COVID 感染的最常见预测因素。此外,脑癌患者( = 0.07)、转移性疾病患者( = 0.01)和接受姑息治疗的患者( = 0.02)的 COVID 死亡率更高。

结论

在癌症患者中,癌症类型、姑息治疗和癌症患者放疗可预测 COVID-19 感染。此外,脑癌、转移和姑息治疗均与 COVID-19 相关死亡率相关。

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