与印度COVID-19死亡率相关的社会人口和临床因素:一项回顾性研究
Lokesh Parashar1, Himanshu Shekhar2, Hina Arya3
1Department of Statistics, Amity School of Applied Sciences, Amity University, Jaipur 303002, Rajasthan, India.
概括
高龄,农村居住和并发症在印度显著增加了COVID-19死亡风险. 早期识别这些高风险群体可以改善2019年冠状病毒病患者的生存结果.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 临床医学 临床医学
背景情况:
- 随着COVID-19大流行,全球健康受到重大影响,印度面临高病例和死亡率.
- 有限的数据存在于影响COVID-19死亡率的社会人口和临床因素,特别是在印度.
研究的目的:
- 确定与印度人口中COVID-19死亡率相关的关键社会人口统计和临床因素.
- 为高风险患者群体提供有针对性的干预信息.
主要方法:
- 一项回顾性,横截面研究分析了来自北印度的4961名成年COVID-19患者的医疗记录 (2020年4月至2021年12月).
- 收集的数据包括社会人口统计和临床信息.
- 用单变量 (奇方) 和卡普兰-梅尔生存分析来确定死亡风险因素.
主要成果:
- 在研究队列中,总死亡率为11.2% (557例死亡).
- 较高的COVID-19死亡率的重大风险因素包括晚年,农村居住,专业职业,糖尿病,高血压,多病症,严重症状和需要ICU入院/呼吸机支持.
- 虽然一些社会人口统计学因素显示出单变联,但它们在生存分析中并不显著.
结论:
- 高龄,农村居住,专业职业,并发病,多发病,严重症状和关键护理需求是印度COVID-19死亡率的重要预测因素.
- 对这些已识别的高风险群体的早期识别和干预对于改善患者存活率至关重要.
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