感染胰腺亡的早期临床预测因素:一个多中心队列研究
Kai Song1,2, Wenhua He3, Zuoyan Wu4
1Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
使用早期临床数据的新模型准确地预测急性胰腺炎 (AP) 患者感染胰腺亡 (IPN). 这种工具有助于迅速治疗,并改善IPN的AP的结果.
科学领域:
- 医学研究 医学研究
- 临床诊断 临床诊断 临床诊断
- 胰腺学 胰腺学
背景情况:
- 感染性胰腺亡 (IPN) 在急性胰腺炎 (AP) 患者中显著增加死亡率.
- 及时识别和治疗IPN对于改善患者结果至关重要.
- 早期预测IPN仍然是一个临床挑战.
研究的目的:
- 为了评估临床特征的预测价值在IPN.入院后24小时内.
- 开发和验证在AP患者中IPN的预测模型.
主要方法:
- 一个回顾性,多中心的队列研究3005个AP患者.
- 在入院后24小时内分析临床变量,使用LASSO回归和多变量逻辑回归.
- 开发的IPN预测模型的内部和外部验证.
主要成果:
- IPN发生在5.9%的患者 (176/3005).
- 开发了一个包含温度,呼吸速率,血,血清尿素和血清葡萄糖的预测模型.
- 该模型表现出强大的预测性能,AUC为0.85,经外部验证 (AUC为0.82).
结论:
- 开发了一个简单,强大的模型,用于AP患者早期IPN预测.
- 该模型表现出强大的预测性能和临床效用.
- 这种工具可以帮助及时干预IPN风险的AP患者.
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