印度两波COVID-19期间的死亡率特征:一项回顾性观察研究

IF 0.4 Q4 CRITICAL CARE MEDICINE
N. Humaney, Shilpa S. Kuthe, S. Akhtar, V. Pande
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引用次数: 0

摘要

目的:评估印度一家三级护理医院新冠肺炎患者第一波和第二波死亡的人口统计学特征和危险因素。方法:数据取自医院新冠肺炎患者电子系统,时间为2020年8月至2020年12月,第二次为2021年1月至2021年5月。检索并比较两波的死亡率、人口统计学和临床特征、实验室概况以及死亡原因,并确定两波的危险因素。结果:在第一波疫情中,有1177例新冠肺炎病例到访医院,96例(8.2%)死亡。相比之下,第二波的死亡率明显更高(244/2 038,12.0%)(P<0.001)。两波之间的年龄[60(50-69)vs.60.5(53-70),P=0.11]或性别(P=0.34)没有显著差异。与第一波相比。在第二波中,发烧、咳嗽、虚弱、味觉和嗅觉丧失以及喉咙痛的病例显著增加(P<0.05),但肾脏疾病(6.6%vs.13.5%,P=0.038)和糖尿病(35.7%vs.50.0%,P=0.015)的病例显著减少,淋巴细胞和血清铁蛋白水平升高(P<0.05)。此外,酸中毒、感染性休克、急性肾损伤、糖尿病、心血管事件、甲状腺功能减退等死亡病例的死亡率存在显著差异(P<0.05),多因素回归显示,在第一波中,年龄(OR:1.10;95%CI:1.02-1.21)、糖尿病(OR:3.16;95%CI:2.08-3.53),X射线异常(2.67;95%CI:2.32-2.87)是死亡率的显著独立危险因素;而在第二波中,年龄(OR:1.13;95%CI:1.12-1.28)、糖尿病(OR:8.98;95%CI:1.79-45.67)、X射线异常(OR:12.83;95%CI:2.32-54.76)、高D-二聚体(OR:10.89;95%CI:1.56-134.53)和高IL-6(OR:7.89;95%CI:1.18-47.82)是显著的独立死亡危险因素。结论:第二波的总死亡率和重症发病率高于第一波。人口统计学特征、合并症和实验室炎症参数,尤其是D-二聚体和IL-6,是新冠肺炎大流行期间死亡的重要危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mortality characteristics during the two waves of COVID-19 in India: A retrospective observational study
Objective: To evaluate patient demographic characteristics and risk factors for mortality during the first and the second wave among COVID-19 patients in a tertiary care hospital of India. Methods: Data were taken from the hospital’s electronic system for COVID-19 patients from August 2020 to December 2020, and the second from January 2021 to May 2021. The mortality rate, demographic and clinical characteristics, laboratory profile, and reasons for the death of the two waves were retrieved and compared, and the risk factors of the two waves were determined. Results: In the first wave, 1 177 COVID-19 cases visited the hospital and 96 (8.2%) died. In comparison, the death rate in the second wave was significantly higher (244/2 038, 12.0%) (P<0.001). No significant difference in age [60 (50-69) vs. 60.5 (53-70), P=0.11] or gender (P=0.34) was observed between the two waves. Compared to the first wave. there were significantly more cases with fever, cough, weakness, loss of taste and smell, and sore throat during the second wave (P<0.05), but significantly fewer cases with kidney disease (6.6% vs. 13.5%, P=0.038) and diabetes mellitus (35.7% vs. 50.0%, P=0.015). Besides, during the second wave, more patients had abnormal X-ray findings, higher levels of lymphocytes and serum ferritin (P<0.05). In addition, there were significant differences in the rate of death cases with acidosis, septic shock, acute kidney injury, diabetes mellitus, cardiovascular events, hypothyroidism (P<0.05). Multivariate regression showed that during the first wave, age (OR: 1.10; 95% CI: 1.02-1.21), diabetes mellitus (OR: 3.16; 95% CI: 2.08-3.53), and abnormal X-ray (2.67; 95% CI: 2.32-2.87) were significant independent risk factors of mortality; while in the second wave, age (OR: 1.13; 95% CI: 1.12-1.28), diabetes mellitus (OR: 8.98; 95% CI: 1.79-45.67), abnormal X-ray (OR: 12.83; 95% CI: 2.32-54.76), high D-dimer (OR: 10.89; 95% CI: 1.56-134.53), and high IL-6 (OR: 7.89; 95% CI: 1.18-47.82) were significant independent risk factors of mortality . Conclusion: Overall mortality and incidence of severe diseases are higher in the second wave than the first wave. Demographic characteristics, co-morbidities, and laboratory inflammatory parameters, especially D-dimer and IL-6, are significant risk facors of mortality during the COVID-19 pandemic.
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来源期刊
Journal of Acute Disease
Journal of Acute Disease CRITICAL CARE MEDICINE-
自引率
20.00%
发文量
652
审稿时长
12 weeks
期刊介绍: The articles published mainly deal with pre-hospital and hospital emergency medicine, cardiopulmonary-cerebral resuscitation, critical cardiovascular disease, sepsis, severe infection, multiple organ failure, acute and critical diseases in different medical fields, sudden cardiac arrest, Intensive Care Unit (ICU), critical care medicine, disaster rescue medicine (earthquakes, fires, floods, mine disaster, air crash, et al.), acute trauma, acute toxicology, acute heart disease, and related topics. JAD sets up columns for special subjects in each issue.
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