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谁正在死于新冠病毒?何时死亡?印度泰米尔纳德邦死亡情况分析。

Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India.

作者信息

Asirvatham Edwin Sam, Sarman Charishma Jones, Saravanamurthy Sakthivel P, Mahalingam Periasamy, Maduraipandian Swarna, Lakshmanan Jeyaseelan

机构信息

Technical Adviser (Health Systems & Policy), Health Systems Research India Initiative, (HSRII), Thiruvananthapuram, Kerala, 695004, India.

Independent Public Health Consultant, New Delhi, India.

出版信息

Clin Epidemiol Glob Health. 2021 Jan-Mar;9:275-279. doi: 10.1016/j.cegh.2020.09.010. Epub 2020 Oct 3.

Abstract

BACKGROUND

As the number of COVID-19 cases continues to rise, public health efforts must focus on preventing avoidable fatalities. Understanding the demographic and clinical characteristics of deceased COVID-19 patients; and estimation of time-interval between symptom onset, hospital admission and death could inform public health interventions focusing on preventing mortality due to COVID-19.

METHODS

We obtained COVID-19 death summaries from the official dashboard of the Government of Tamil Nadu, between 10th May and July 10, 2020. Of the 1783 deaths, we included 1761 cases for analysis.

RESULTS

The mean age of the deceased was 62.5 years (SD: 13.7). The crude death rate was 2.44 per 100,000 population; the age-specific death rate was 22.72 among above 75 years and 0.02 among less than 14 years, and it was higher among men (3.5 vs 1.4 per 100,000 population). Around 85% reported having any one or more comorbidities; Diabetes (62%), hypertension (49.2%) and CAD (17.5%) were the commonly reported comorbidities. The median time interval between symptom onset and hospital admission was 4 days (IQR: 2, 7); admission and death was 4 days (IQR: 2, 7) with a significant difference between the type of admitting hospital. One-fourth of (24.2%) deaths occurred within a day of hospital admission.

CONCLUSION

Elderly, male, people living in densely populated areas and people with underlying comorbidities die disproportionately due to COVID-19. While shorter time-interval between symptom onset and admission is essential, the relatively short time interval between admission and death is a concern and the possible reasons must be evaluated and addressed to reduce avoidable mortality.

摘要

背景

随着新冠病毒病(COVID-19)病例数持续上升,公共卫生工作必须聚焦于预防可避免的死亡。了解COVID-19死亡患者的人口统计学和临床特征,以及估计症状出现、入院和死亡之间的时间间隔,可为旨在预防COVID-19所致死亡的公共卫生干预措施提供依据。

方法

我们从泰米尔纳德邦政府的官方仪表盘获取了2020年5月10日至7月10日期间的COVID-19死亡总结。在1783例死亡病例中,我们纳入了1761例进行分析。

结果

死者的平均年龄为62.5岁(标准差:13.7)。粗死亡率为每10万人口2.44例;75岁以上人群的年龄别死亡率为22.72,14岁以下人群为0.02,男性的死亡率更高(每10万人口3.5例对1.4例)。约85%的患者报告有一种或多种合并症;常见的合并症为糖尿病(62%)、高血压(49.2%)和冠心病(17.5%)。症状出现至入院的中位时间间隔为4天(四分位间距:2,7);入院至死亡的时间为4天(四分位间距:2,7),不同类型的收治医院之间存在显著差异。四分之一(24.2%)的死亡发生在入院一天内。

结论

老年人、男性、居住在人口密集地区的人群以及有基础合并症的人群因COVID-19死亡的比例过高。虽然症状出现至入院的较短时间间隔至关重要,但入院至死亡的相对较短时间间隔令人担忧,必须评估并解决可能的原因以降低可避免的死亡率。

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