在败血症患者中,二次感染的危险因素的诺莫格拉姆预测模型
Jiaqi Lu1, Shuai Liu1, Jiaheng Zhang2
1Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
概括
这项研究确定了败血症患者二次感染的关键风险因素,包括低氧和和高中性粒细胞计数. 开发了一种预测性名谱,以帮助个性化风险评估,以更好地管理患者.
科学领域:
- 关键护理医学 关键护理医学
- 传染性疾病 传染性疾病
- 生物统计学 生物统计学
背景情况:
- 败血症是一种危及生命的器官功能障碍,是由宿主对感染的反应失调引起的.
- 二次感染是败血症患者常见的并发症,增加了发病率和死亡率.
- 识别风险因素和预测二次感染对于改善败血症管理至关重要.
研究的目的:
- 调查毒症患者中二次感染的临床特征和危险因素.
- 在重症监护室 (ICU) 开发和验证二次感染风险的预测模型 (nomogram).
主要方法:
- 来自MIMIC-IV数据库的2247名败血症患者的回顾性分析.
- 单变量和多变量逻辑回归以确定独立的风险因素.
- 使用R软件构建一个名ogram,用于风险预测.
主要成果:
- 二次感染的独立风险因素包括较低的氧和度,淋巴细胞比例减少,血小板数量减少,中性粒细胞比例增加,ICU入院后24小时内乳酸水平升高以及侵入性机械通风.
- 通过整合这些预测因素,成功构建了一个名ogram.
结论:
- 开发的诺米图有效地预测了败血症患者的二次感染风险.
- 临床变量如氧和度,淋巴细胞和中性粒细胞比率,血小板计数,乳酸和机械通风对于风险分层至关重要.
- 这种工具可以支持个性化风险评估和临床决策对于毒症患者的二次感染风险.
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