Gandhi Periyasamy Aravind, Kathirvel Soundappan, Rehman Tanveer, Singh Amarjeet
Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh.
Monaldi Arch Chest Dis. 2021 Sep 14;92(2). doi: 10.4081/monaldi.2021.1890.
Understanding the demographic and clinical characteristics cases and deaths is essential for better clinical and public health management of coronavirus disease-2019 (COVID-19) in resource-limited settings. We analyzed the COVID-19 deaths reported from India, to describe the demographic and clinical characteristics and identify the factors associated with early hospital deaths (within one day of hospitalization) and survival duration. We conducted a record review of the publicly available data on COVID-19 deaths reported between January 30th and November 30th, 2020. After imputation for missing data, we calculated unadjusted and adjusted prevalence ratio, and regression coefficient for factors associated with early hospital death and survival duration. Of the 20,641 COVID-19 deaths analyzed: a) 14,684 (71.1%) were males; b) 10,134 (50.9%) were aged <65 years; c) 9,722 (47.1%) treated at public hospitals and d) 5405 (27.1%) were early hospital deaths. Breathlessness was the most common presenting complaint. Diabetes (11,075,53.7%), hypertension (95,77,46.5%) and coronary artery disease (2,821,13.7%) were the common comorbidities. After adjustment, early hospital death was significantly higher among patients aged <65 years, without severe acute respiratory illness (SARI) at admission, non-diabetics, and cared at public hospitals compared to their counterparts. Similarly, the survival duration was at least one day higher among patients presented with SARI, chronic liver disease and cared at a private hospital. The analysis covered >10% of India's COVID-19 deaths, providing essential information regarding the COVID-19 epidemiology. The characteristics associated with early hospital death and survival duration among the COVID-19 fatalities may be deliberated as markers for prognosis and compared with survivors.
了解新冠病毒疾病2019(COVID-19)病例和死亡的人口统计学及临床特征,对于在资源有限的环境中更好地进行COVID-19的临床和公共卫生管理至关重要。我们分析了印度报告的COVID-19死亡病例,以描述其人口统计学和临床特征,并确定与早期医院死亡(住院一天内)和生存时间相关的因素。我们对2020年1月30日至11月30日期间报告的COVID-19死亡的公开可用数据进行了记录审查。在对缺失数据进行插补后,我们计算了未调整和调整后的患病率比,以及与早期医院死亡和生存时间相关因素的回归系数。在分析的20641例COVID-19死亡病例中:a)14684例(71.1%)为男性;b)10134例(50.9%)年龄<65岁;c)9722例(47.1%)在公立医院接受治疗;d)5405例(27.1%)为早期医院死亡病例。呼吸急促是最常见的就诊主诉。糖尿病(11075例,53.7%)、高血压(9577例,46.5%)和冠状动脉疾病(2821例,13.7%)是常见的合并症。调整后,与同龄人相比,年龄<65岁、入院时无严重急性呼吸疾病(SARI)、非糖尿病患者以及在公立医院接受治疗的患者早期医院死亡明显更高。同样,出现SARI、患有慢性肝病且在私立医院接受治疗的患者生存时间至少长一天。该分析涵盖了印度>10%的COVID-19死亡病例,提供了有关COVID-19流行病学的重要信息。COVID-19死亡病例中与早期医院死亡和生存时间相关的特征可作为预后指标进行考量,并与幸存者进行比较。