为COVID-19结果开发预测模型:对于资源有限的医院来说,这是一个有价值的工具
Irina-Maria Popescu1, Madalin-Marius Margan2, Mariana Anghel1
1Department of Infectious Diseases, Discipline of Epidemiology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
International journal of general medicine
|July 25, 2023
概括
这项研究确定了不利的COVID-19结果的关键风险因素,包括老年,心血管疾病和白细胞计数增加. 使用年龄,绝对中性粒细胞数和C反应蛋白的预测模型可以帮助根据风险对患者进行分层.
科学领域:
- 医学研究 医学研究
- 流行病学 流行病学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 新型冠状病毒疾病 (COVID-19) 构成了重大的全球健康挑战,使全球的医疗保健系统面临压力.
- 了解与严重结果相关的患者个人资料对于有效的疾病管理至关重要.
研究的目的:
- 确定与不利的COVID-19结果相关的临床和准临床因素.
- 开发一种预测模型,将患者分为高风险和低风险组.
主要方法:
- 这是一项多变量观察后期研究,涉及罗马尼亚蒂米索拉的483名患者.
- 根据疾病严重程度,患者被分为小组.
- 统计分析包括后勤回归来识别风险因素并开发预测模型.
主要成果:
- 年龄增长,心血管疾病,脏疾病和神经疾病独立地与不良结果相关.
- 严重的COVID-19显著增加了不利结果的风险 (OR=19.59).
- 升高的白细胞计数 (WBC),绝对中性粒细胞计数 (ANC) 和C反应蛋白 (CRP) 与更糟糕的结果相关.
- 使用年龄,ANC和CRP的预测模型实现了0.845的AUC,敏感度为72.3%,特异性为83.9%.
结论:
- 开发的预测模型可以帮助精确分配医疗保健资源.
- 对COVID-19患者的风险分析可以指导疾病管理策略.
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