COVID-19 成年住院患者的生存情况。
Survival in adult inpatients with COVID-19.
机构信息
Departamento de Epidemiología, Unidad de Medicina Familiar No. 19, Instituto Mexicano del Seguro Social, Av. Javier Mina 301, Col. Centro, C.P. 28000, Colima, Colima, México; Facultad de Medicina, Universidad de Colima, Av. Universidad 333, Col. Las Víboras, C.P. 28040, Colima, Colima, México.
Facultad de Ciencias, Universidad de Colima, Bernal Díaz del Castillo 340, Col. Villas San Sebastián, C.P. 28045, México.
出版信息
Public Health. 2021 Jan;190:1-3. doi: 10.1016/j.puhe.2020.10.029. Epub 2020 Nov 10.
BACKGROUND
The mortality of the coronavirus disease 2019 (COVID-19) pandemic is high, and data regarding its prognosis are scarce. We aimed to assess the survival experience and determining factors in adult inpatients with laboratory-confirmed COVID-19.
METHODS
We conducted a nationwide and retrospective cohort study. Data from 66,123 individuals were analyzed using the Kaplan-Meier method, and a multivariate Cox proportional hazard regression model was fitted.
RESULTS
The 7-day survival was 72.2% and went to 47.6%, 35.0%, and 23.9% on days 15, 21, and 30 of hospital stay, respectively. In the multiple analysis, factors associated with an increased risk of dying were male gender, age, pneumonia at hospital admission, immunosuppression, and personal history of chronic non-communicable diseases. Reduced risk of a fatal outcome was observed among patients with asthma history.
CONCLUSIONS
To the best of our knowledge, this is the largest study analyzing the survival probability in a large subset of Latin-American adults with COVID-19, in whom the disease burden has been high. Our results contribute to achieving a better understanding of disease evolution.
背景
2019 年冠状病毒病（COVID-19）大流行的死亡率很高，关于其预后的数据很少。我们旨在评估成人住院 COVID-19 患者的生存经验和确定因素。
方法
我们进行了一项全国性和回顾性队列研究。使用 Kaplan-Meier 方法分析了 66123 个人的数据，并拟合了多变量 Cox 比例风险回归模型。
结果
7 天的生存率为 72.2%，分别为住院后第 15、21 和 30 天的 47.6%、35.0%和 23.9%。在多因素分析中，与死亡风险增加相关的因素是男性、年龄、入院时肺炎、免疫抑制和个人慢性非传染性疾病史。哮喘病史的患者死亡风险降低。
结论
据我们所知，这是对拉丁美洲大量 COVID-19 成年患者进行生存概率分析的最大研究之一，这些患者的疾病负担很高。我们的研究结果有助于更好地了解疾病的演变。
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