2020年巴西圣埃斯皮里图州与新冠病毒病医院死亡相关的因素
Factors associated with COVID-19 hospital deaths in Espírito Santo, Brazil, 2020.
作者信息
Maciel Ethel Leonor, Jabor Pablo, Goncalves Júnior Etereldes, Tristão-Sá Ricardo, Lima Rita de Cássia Duarte, Reis-Santos Barbara, Lira Pablo, Bussinguer Elda Coelho Azevedo, Zandonade Eliana
机构信息
Universidade Federal do Espírito Santo, Laboratório de Epidemiologia, Vitória, ES, Brasil.
Secretaria de Estado de Economia e Planejamento do Espírito Santo, Instituto Jones dos Santos Neves, Vitória, ES, Brasil.
出版信息
Epidemiol Serv Saude. 2020 Sep 25;29(4):e2020413. doi: 10.1590/S1679-49742020000400022. eCollection 2020.
OBJECTIVE
To analyze factors associated with the deaths of individuals hospitalized with COVID-19 in the state of Espírito Santo, Brazil.
METHODS
This was a cross-sectional study using secondary data. Logistic regression models were used to estimate crude and adjusted odds ratios (OR).
RESULTS
As at May 14, 2020, 200 individuals had been discharged and 220 had died. Of the total number of people studied, 57.1% were male, 46.4% were >60 years old, 57.9% were cases notified by a private institution, and 61.7% had >1 comorbidity. In the adjusted analysis, hospital mortality was higher for the 51-60 age group (OR=4.33 - 95%CI 1.50;12.46), the over 60 age group (OR=11.84 - 95%CI 4.31;32.54), cases notified by public institutions (OR=8.23 - 95%CI 4.84;13.99) and cases with a greater number of comorbidities (two [OR=2.74 - 95%CI 1.40;5.34] and three [OR=2.90 - 95%CI 1.07;7.81]).
CONCLUSION
Higher mortality was found in older individuals, those with comorbidities and users of public hospitals.
目的
分析巴西圣埃斯皮里图州新冠肺炎住院患者死亡的相关因素。
方法
这是一项使用二手数据的横断面研究。采用逻辑回归模型估计粗比值比和调整后的比值比（OR）。
结果
截至2020年5月14日，200人已出院，220人死亡。在研究的总人数中，57.1%为男性，46.4%年龄>60岁，57.9%为由私立机构通报的病例，61.7%患有>1种合并症。在调整分析中，51 - 60岁年龄组的医院死亡率较高（OR = 4.33 - 95%CI 1.50；12.46），60岁以上年龄组（OR = 11.84 - 95%CI 4.31；32.54），由公立机构通报的病例（OR = 8.23 - 95%CI 4.84；13.99）以及合并症数量较多的病例（两种[OR = 2.74 - 95%CI 1.40；5.34]和三种[OR = 2.90 - 95%CI 1.07；7.81]）。
结论
在老年人、患有合并症的患者以及公立医院的使用者中发现了更高的死亡率。
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