Risk factors for severe cases of COVID-19: a retrospective cohort study
Risk factors for severe cases of COVID-19: a retrospective cohort study
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DOI：
10.18632/aging.103803
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发表时间：
2020-08-15
期刊：
影响因子：
5.2
通讯作者：
Cao, Jie
中科院分区：
文献类型：
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作者：
He, Feng;Luo, Qingqing;Cao, Jie
背景：自2020年3月以来，SARS-CoV-2在全球肆虐。目的了解广州市新冠肺炎重症患者的临床特点及危险因素。结果：新冠肺炎的严重程度和死亡率分别为10.4%和0.3%。年龄每增加1年（OR, 1.057, 95% CI, 1.018-1.098， P=0.004），武汉暴露史大于2周（OR, 2.765, 95% CI, 1.040-7.355， P=0.042），腹泻（OR, 24.349, 95% CI, 3.580-165.609， P=0.001），慢性肾脏疾病（OR, 6.966, 95% CI, 1.310-37.058， P= 0.023），肌红蛋白高于106 μ g/L (OR, 8.910, 95% CI, 1.225-64.816， P=0.031)，白细胞高于10x10(9)/L (OR, 5.776, 95% CI, 1.052-31.722， P=0.042)；P=0.044)、c反应蛋白高于10 mg/L （OR, 5.362; 95% CI, 1.631 ~ 17.626； P=0.006）是重症患者的危险因素。结论：老年、武汉暴露史、腹泻、慢性肾脏疾病、肌红蛋白升高、白细胞和c反应蛋白升高是广州市重症COVID-19患者的独立危险因素。方法：纳入288例成人COVID-19患者，比较重症组和非重症组的资料。我们采用单因素和多因素logistic回归方法探讨重症病例的危险因素。
Background: SARS-CoV-2 has raged around the world since March, 2020. We aim to describe the clinical characteristics and risk factors of severe patients with COVID-19 in Guangzhou.Results: The severity and mortality of COVID-19 was 10.4% and 0.3% respectively. And each 1-year increase in age (OR, 1.057; 95% CI, 1.018-1.098; P=0.004), Wuhan exposure history greater than 2 weeks (OR, 2.765; 95% CI, 1.040-7.355; P=0.042), diarrhea (OR, 24.349; 95% CI, 3.580-165.609; P=0.001), chronic kidney disease (OR, 6.966; 95% CI, 1.310-37.058; P = 0.023), myoglobin higher than 106 mu g/L (OR, 8.910; 95% CI, 1.225-64.816; P=0.031), white blood cell higher than 10x10(9)/L (OR, 5.776; 95% CI, 1.052-31.722; P=0.044), and C-reactive protein higher than 10 mg/L (OR, 5.362; 95% CI, 1.631-17.626; P=0.006) were risk factors for severe cases.Conclusion: Older age, Wuhan exposure history, diarrhea, chronic kidney disease, elevated myoglobin, elevated white blood cell and C-reactive protein were independent risk factors for severe patients with COVID-19 in Guangzhou.Methods: We included 288 adult patients with COVID-19 and compared the data between severe and non-severe group. We used univariate and multivariate logistic regression methods to explore risk factors of severe cases.