在急性功能衰竭与严重败血症相结合的患者中,多器官衰竭的风险因素和预测性诺米克图
Dongmei Yan1, Jing Zhou1, Hongying Zhang2
1Department of Critical Care Medicine, Guang'an People's Hospital, West China Guang'an Hospital, Sichuan University Guang'an 638000, Sichuan, China.
American journal of translational research
|September 15, 2025
概括
这项研究确定了急性功能衰竭和严重败血症患者多器官衰竭 (MOF) 的关键预测因素. 一个开发出来的名图有效地预测MOF风险,帮助临床决策.
科学领域:
- 关键护理医学 关键护理医学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 败血症研究 败血症研究
背景情况:
- 严重的败血症和急性功能衰竭 (AKF) 显著增加了多器官衰竭 (MOF) 的风险.
- 早期识别高风险的MOF患者对于及时干预和改善结果至关重要.
研究的目的:
- 确定AKF和严重败血症患者中MOF的独立风险因素.
- 开发和验证MOF风险分层的预测名录.
主要方法:
- 对418名患有AKF和严重败血症的患者的回顾性分析.
- 后勤回归分析以确定MOF的独立风险因素.
- 使用培训和验证队伍开发和验证预测名录.
主要成果:
- 确定了五种MOF的独立预测因素:腹部感染,APACHE II评分,中性粒细胞计数 (NEU),乳酸 (Lac) 和肝素结合蛋白 (HBP).
- 诺米图表表现出良好的预测性能,培训队列中的AUC为0.756,验证队列中的AUC为0.816.
- 校准曲线和决策曲线分析证实了名图的临床实用性.
结论:
- 结合腹部感染,APACHE II评分,NEU,Lac和HBP的nomogram有效地预测了AKF严重败血症患者的MOF风险.
- 这种预测模型可以帮助临床医生进行早期风险分层,并为重症患者做出知情决策.
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