一种新的HCP (肝素结合蛋白-C反应蛋白-甲) 炎症复合模型可以预测严重的急性胰腺炎
Deshuai Kong1, Zhang Lei1, Zhenyong Wang1
1Department of Hepatobiliary and Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Scientific reports
|June 9, 2023
概括
使用氨酸结合蛋白 (HBP),甲素 (PCT) 和C反应蛋白 (CRP) 的新复合模型可以预测严重急性胰腺炎 (SAP) 风险. 这个模型提供了一个简单而有效的工具,用于早期的SAP检测和管理.
科学领域:
- 胃肠病学和肝病学 胃肠学和肝病学
- 关键护理医学 关键护理医学
- 生物标志物发现发现
背景情况:
- 严重急性胰腺炎 (SAP) 是一种危及生命的疾病,死亡率高.
- 早期准确预测SAP严重程度对于及时有效的医疗干预至关重要.
- 目前的诊断方法可能需要改进,以获得精确的SAP风险分层.
研究的目的:
- 开发和验证SAP的复合预测模型.
- 调查炎症标记物的实用性,特别是肝素结合蛋白 (HBP),前素 (PCT) 和C反应蛋白 (CRP),用于预测SAP.
- 评估HBP-CRP-PCT组合模型的诊断性能.
主要方法:
- 从2018年1月到2020年6月,对212名急性胰腺炎患者的数据进行了回顾性分析.
- 收集基本参数和实验室结果,包括HBP,PCT和CRP水平.
- 应用皮尔森相关性,多变量逻辑回归和接收器操作特征 (ROC) 曲线分析来开发和验证预测模型.
主要成果:
- 与非SAP组相比,SAP组的HBP,CRP和PCT等血水平显著高于非SAP组 (P < 0.001).
- HBP,CRP和PCT被确定为SAP的独立风险因素.
- 复合HBP-CRP-PCT模型显示了SAP预测的优异区分,曲线下的面积 (AUC) 为0.963.
结论:
- 结合HBP-CRP-PCT模型 (HCP模型) 是预测严重急性胰腺炎风险的宝贵工具.
- 这种模型提供了高精度和易于使用的早期SAP检测.
- 这些发现支持将HBP,CRP和PCT整合到临床实践中,以改善SAP管理.
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