2020-2022年城市环境中的COVID-19浪潮:电子医疗记录分析
Yi-Shuan Elaine Chen1,2, Susan H Gawel1,2, Pankaja Desai3
1Abbott Diagnostics Division, Abbott Laboratories, Abbott Park, IL, United States.
Frontiers in public health
|February 13, 2024
概括
COVID-19的结果因流行浪潮而异,像阿尔法和三角洲这样的变种会导致更严重的疾病. 伴随性疾病,如病和糖尿病显著影响住院和死亡率.
科学领域:
- 流行病学 流行病学
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- 有限的比较研究存在于COVID-19的并发症和结果跨越大流行浪潮.
- 监测跟踪了发病率和结果,但在不同变异和时间段中不一致.
研究的目的:
- 在COVID-19流行病期间分析伴随性疾病和临床结果之间的关联.
- 为了在不同的流行病浪潮中比较这些关联.
主要方法:
- 从2020年3月到2022年9月,对一个大型城市医疗保健系统的COVID-19注册表 (N=44,499) 的分析.
- 包括住院患者和COVID-19的门诊患者.
- 后勤回归用于评估人口统计,并发症和结果 (死亡,住院,ICU入院) 之间的关联,整体和按波.
主要成果:
- 第2波和第3波 (阿尔法,德尔塔变种) 显示住院,ICU入院和死亡率增加.
- 慢性肺病是最常见的并发症.
- 在所有波段中,死亡率与脏疾病,充血性心力衰竭,脑血管疾病,糖尿病和慢性肺部疾病有关.
- 肝脏和脏疾病是死亡率,住院和ICU入院的重要预测因素;糖尿病预测了住院和ICU入院.
结论:
- COVID-19注册表有效地识别了不良结果的风险因素.
- 研究结果可以根据年龄和并发症指导COVID-19患者的风险分层和护理规划.
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