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年龄和多种合并症对确诊 COVID-19 患者死亡率的预测:印度马哈拉施特拉邦浦那监测数据的二次分析。

Prediction of mortality by age and multi-morbidities among confirmed COVID-19 patients: Secondary analysis of surveillance data in Pune, Maharashtra, India.

机构信息

Junior Resident, Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India.

Civil Surgeon, Public Health Department, Symbiosis International (Deemed University) (SIU) Lavale, Pune, Maharashtra, India.

出版信息

Indian J Public Health. 2021 Jan-Mar;65(1):64-66. doi: 10.4103/ijph.IJPH_1096_20.

DOI:10.4103/ijph.IJPH_1096_20
PMID:33753693
Abstract

Maharashtra has reported the maximum number of COVID-19 cases in India. This study was conducted to describe the predictors of death among the confirmed cases of COVID-19 by carrying out a secondary analysis of surveillance data of 11,278 lab-confirmed COVID-19 cases and admitted in dedicated COVID hospitals and dedicated COVID health-care centers between April 4, 2020, and July 17, 2020, in Pune district of Maharashtra. A total of 1270 (11.2%, 95% confidence interval [CI]: 10.7-11.9) deaths out of 11,278 patients were reported. Out of the 1270 deaths, 825 (65%) were male and 788 (62%) had one or more comorbidities. Logistic regression was done for predictors of death, and males (adjusted odds ratio: 1.6, 95% CI: 1.4-1.8), those with symptoms at the time of admission (adjusted odds ratio: 2.9, 95% CI: 2.5-3.4), and those with the presence of two or more comorbidities (adjusted odds ratio: 2.7, 95% CI: 2.2-3.4) were having a higher risk of death.

摘要

印度马哈拉施特拉邦报告了最多的 COVID-19 病例。本研究通过对马哈拉施特拉邦浦那地区 2020 年 4 月 4 日至 7 月 17 日期间在专门的 COVID 医院和专门的 COVID 保健中心住院的 11278 例实验室确诊 COVID-19 病例和已确诊病例的监测数据进行二次分析,描述了 COVID-19 确诊病例死亡的预测因素。在 11278 例患者中,共有 1270 例(11.2%,95%置信区间[CI]:10.7-11.9)死亡。在 1270 例死亡中,825 例(65%)为男性,788 例(62%)有 1 种或多种合并症。对死亡的预测因素进行了逻辑回归分析,结果显示男性(调整后的优势比:1.6,95%CI:1.4-1.8)、入院时出现症状(调整后的优势比:2.9,95%CI:2.5-3.4)和存在两种或两种以上合并症(调整后的优势比:2.7,95%CI:2.2-3.4)的患者死亡风险更高。

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