Early Death Among COVID-19 Patients: A Cross-sectional Analysis of the First 10,000 COVID-19 Deaths from the Indian State of Tamil Nadu

Zarin Pilakkadavath, Janice M. Weinberg, Serin Kuriakose, Shahul H. Ebrahim, Lekha D. Bhat, Bindhya Vijayan, Salman Khan, Soji D. Jose, Premini Rajeev, Jinbert L. Azariah, Shaffi Fazaludeen Koya
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Abstract

Abstract Background Tamil Nadu state reported the second highest number of confirmed COVID-19 cases in India. In this study, we aimed to describe and determine the risk factors for early death among the first 10,000 COVID-19 deaths in the state. Methods We conducted a cross sectional analysis of state government administrative data to describe deaths, examine the differences between early deaths and non-early deaths, and calculate the risks of early death for several independent variables. All p -values < 0.05 were considered statistically significant. Results In total, 4147 early deaths (41.5%) were recorded; the median age of patients who suffered from early death was significantly lower [64 years; interquartile range (IQR): 55–72] when compared with patients who did not suffer from early death (65 years; IQR: 56–73). After adjusting for comorbidities, age, and the time elapsed from the onset of symptoms to hospitalization; we found that the risk of early death was significantly lower for males [adjusted odds ratio (aOR): 0.82; 95% confidence interval (CI): 0.72, 0.93; p = 0.002], among rich individuals (aOR: 0.76; 95% CI: 0.63, 0.92; p = 0.004), in the richest districts (aOR: 0.70; 95% CI: 0.59, 0.84; p < 0.001) and for those who received treatment in private facilities (aOR: 0.45; 95% CI: 0.40, 0.51; p < 0.001. Conclusions The risk of early deaths among the first 10,000 reported COVID deaths in the Tamil Nadu state of India was higher in patients treated in government hospitals especially in the poorest districts probably indicating a lack of infrastructure in government facilities or the overburdening of government facilities at least in the early phase of the pandemic.
COVID-19患者的早期死亡:对印度泰米尔纳德邦首批1万例COVID-19死亡的横断面分析
背景泰米尔纳德邦报告了印度第二高的新冠肺炎确诊病例。在这项研究中,我们旨在描述和确定该州前10,000例COVID-19死亡中早期死亡的风险因素。方法对州政府行政数据进行横断面分析,以描述死亡,检查早死与非早死之间的差异,并计算几个自变量的早死风险。所有p值<0.05认为有统计学意义。结果共记录早期死亡4147例(41.5%);早期死亡患者的中位年龄明显较低[64岁;四分位数间距(IQR): 55-72],与未患早期死亡的患者(65岁;差:56 - 73)。在调整了合并症、年龄和从出现症状到住院的时间后;我们发现男性的早期死亡风险明显较低[校正优势比(aOR): 0.82;95%置信区间(CI): 0.72, 0.93;p = 0.002],在富人中(aOR: 0.76;95% ci: 0.63, 0.92;p = 0.004),在最富裕的地区(aOR: 0.70;95% ci: 0.59, 0.84;p & lt;0.001)和那些在私人机构接受治疗的人(aOR: 0.45;95% ci: 0.40, 0.51;p & lt;0.001. 在印度泰米尔纳德邦(Tamil Nadu)报告的首批1万例COVID死亡病例中,在政府医院接受治疗的患者早期死亡的风险更高,尤其是在最贫困地区,这可能表明至少在大流行的早期阶段,政府设施缺乏基础设施或政府设施负担过重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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