Boston University School of Public Health, Boston, MA, USA.
University of Sciences, Technique and Technology, Bamako, Mali.
J Epidemiol Glob Health. 2021 Jun;11(2):230-232. doi: 10.2991/jegh.k.210303.001. Epub 2021 Mar 9.
On September 5, 2020, India reported the second highest COVID-19 cases globally. Given India's unique disease burden including both infectious and chronic diseases, there is a need to study the survival patterns of COVID-19. We aimed to describe the factors associated with COVID-19 deaths in the State of Tamil Nadu that has the highest COVID-19 case burden among the Indian states, and to compare deaths among COVID patients with and without comorbidities.
We analyzed the first 1000 COVID deaths (1 March to 26 June 2020) and 1000 recent deaths at the time of analysis (1-10 August 2020). We examined data on facility (public vs private), age, gender, duration of illness prior to and/or during hospitalizations, symptoms, comorbidities and cause of death. We used R statistical program to do the analysis. We compared deaths among patients with and without comorbidities using Wilcoxon rank sum test. < 0.05 was considered significant.
First, we found a shorter time interval from onset of symptoms to death in India than that was reported in the USA and China. Second, young adults without comorbidities had shorter survival from the time of onset of symptoms irrespective of their timing of hospitalization. Third, hypothyroidism is a COVID-19 associated co-morbidity. Longitudinal studies are needed to further assess the thyroid-COVID-19 link.
As COVID-19 infection rates are accelerating rapidly in India, it is crucial to sensitize young adults while protecting the elderly and other vulnerable populations.
2020 年 9 月 5 日，印度报告了全球第二高的 COVID-19 病例。鉴于印度独特的疾病负担，包括传染病和慢性病，因此需要研究 COVID-19 的生存模式。我们旨在描述泰米尔纳德邦（印度各邦中 COVID-19 病例负担最重的邦）与 COVID-19 死亡相关的因素，并比较伴有和不伴有合并症的 COVID 患者的死亡情况。
我们分析了前 1000 例 COVID 死亡病例（2020 年 3 月 1 日至 6 月 26 日）和分析时的 1000 例最近死亡病例（2020 年 8 月 1 日至 10 日）。我们检查了有关设施（公立与私立）、年龄、性别、住院前和/或住院期间疾病持续时间、症状、合并症和死因的数据。我们使用 R 统计程序进行分析。我们使用 Wilcoxon 秩和检验比较伴有和不伴有合并症的患者的死亡情况。<0.05 被认为具有统计学意义。
首先，我们发现印度从出现症状到死亡的时间间隔比美国和中国报告的时间间隔更短。其次，无合并症的年轻成年人无论其住院时间如何，从出现症状到死亡的生存时间都更短。第三，甲状腺功能减退症是 COVID-19 的一种合并症。需要进行纵向研究以进一步评估甲状腺与 COVID-19 之间的联系。
由于 COVID-19 在印度的感染率正在迅速加速，因此必须在保护老年人和其他弱势群体的同时，提高年轻人的敏感性。
