系统性炎症指数作为急性胰腺炎严重程度的早期预测指标
José Francisco Araiza-Rodríguez1, Brandon Bautista-Becerril2, Alejandra Núñez-Venzor1
1Hospital General "Dr. Manuel Gea González", Mexico City 14080, Mexico.
Journal of clinical medicine
|August 14, 2025
概括
系统性炎症指数,如单细胞对淋巴细胞比率 (MLR) 和系统性炎症反应指数 (SIRI),可以预测严重的急性胰腺炎. 这些简单的血液测试有助于及时分层风险,改善患者的治疗结果.
科学领域:
- 医学研究 医学研究
- 临床诊断 临床诊断 临床诊断
- 炎症性疾病是一种炎症性疾病.
背景情况:
- 急性胰腺炎 (AP) 是一种严重的疾病,死亡率高,需要早期风险分层.
- 传统的AP严重性评分系统往往会延迟,限制了它们的临床效用.
- 需要新的早期预测因素,以便及时识别高风险患者.
研究的目的:
- 评估系统性炎症指数作为AP严重程度的早期预测指标的临床实用性.
- 评估中性粒细胞与淋巴细胞比率 (NLR),单细胞与淋巴细胞比率 (MLR),全身免疫炎症指数 (SII),全身炎症反应指数 (SIRI) 和全身炎症总指数 (AISI) 的预测性能.
主要方法:
- 根据修订的亚特兰大标准分类的AP患者的回顾性观察性研究.
- 从入院时的完整血清参数计算系统性炎症指数.
- 使用APACHE II评分和统计分析 (包括ROC曲线和后勤回归) 评估AP严重程度.
主要成果:
- SII,NLR,MLR,SIRI和AISI与AP严重程度有显著的相关性 (p < 0.05).
- MLR和SIRI显示出最高的预测性能 (AUC = 0.74).
- 对于MLR (19.10) 和SIRI (7.50),观察到严重胰腺炎的高概率比率,与APACHE II分数有中等的相关性.
结论:
- 系统性炎症指数是用于早期识别严重AP风险的简单,经济有效和可访问的工具.
- 将这些指数纳入临床实践可以改善早期决策.
- 这些指数具有提高急性胰腺炎管理患者结果的潜力.
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