天津医药 ›› 2025, Vol. 53 ›› Issue (11): 1180-1185.doi: 10.11958/20252150

• 临床研究 • 上一篇    下一篇

老年重症急性胰腺炎患者继发凝血功能障碍影响因素分析及预测模型建立

张易(), 俞荷花(), 徐天鹏   

  1. 中国人民解放军海军军医大学第二附属医院(上海长征医院)急诊重症医学科(邮编 200003)
  • 收稿日期:2025-05-27 修回日期:2025-08-12 出版日期:2025-11-15 发布日期:2025-11-19
  • 通讯作者: △E-mail:yuhehua0704@126.com
  • 作者简介:张易(1997),女,医师,主要从事急诊危重症救治方面研究。E-mail:2587514926@qq.com

Analysis of influencing factors of secondary coagulopathy in patients with severe acute pancreatitis and establishment of prediction model

ZHANG Yi(), YU Hehua(), XU Tianpeng   

  1. Department of Emergency Intensive Care Medicine, Second Affiliated Hospital of Naval Medical University of Chinese People 's Liberation Army (Shanghai Changzheng Hospital ), Shanghai 200003, China
  • Received:2025-05-27 Revised:2025-08-12 Published:2025-11-15 Online:2025-11-19
  • Contact: △E-mail:yuhehua0704@126.com

摘要:

目的 探讨老年重症急性胰腺炎(SAP)患者继发凝血功能障碍的影响因素,并建立预测模型。方法 纳入2021年7月—2024年7月于我院就诊的老年SAP患者298例,将继发凝血功能障碍者归入观察组,其余未继发凝血功能障碍者归入对照组。采用多因素Logistic回归分析SAP患者继发凝血功能障碍的危险因素并建立多因素联合预测模型;受试者工作特征(ROC)曲线、决策曲线评估多因素联合预测模型对SAP患者继发凝血功能障碍的预测价值。结果 SAP患者继发凝血功能障碍发生率为32.21%,观察组活化部分凝血活酶时间(APTT)、凝血酶原时间(PT)长于对照组,纤维蛋白原(FIB)高于对照组(P<0.05)。急性生理与慢性健康状况评分Ⅱ(APACHEⅡ)评分、序贯器官衰竭评估(SOFA)评分、D-二聚体、C反应蛋白、白蛋白是SAP患者继发凝血功能障碍的独立影响因素(P<0.05)。根据多因素筛选的变量建立回归方程模型,logit(P)=-24.747+0.363×APACHEⅡ评分+0.952×SOFA评分-0.449×白蛋白+1.768×D-二聚体+1.004×C反应蛋白,拟合度良好。回归模型预测SAP患者继发凝血功能障碍的曲线下面积为0.937;决策曲线分析结果显示,Logistic回归模型在阈值概率为0.06~0.97时可获得最大临床效益。结论 综合评估影响因素可全面评估病情,早期识别凝血障碍高风险患者。

关键词: 胰腺炎, 血液凝固障碍, Logistic模型, 老年人, 重症急性胰腺炎, 预测模型

Abstract:

Objective To investigate the influencing factors of secondary coagulation dysfunction in patients with severe acute pancreatitis (SAP) and establish the prediction model. Methods A total of 298 SAP patients in our hospital from July 2021 to July 2024 were consecutively selected, and those with secondary coagulation dysfunction were included in the observation group, while those without secondary coagulation dysfunction were included in the control group. Multivariate Logistic regression analysis was employed to investigate the risk factors for secondary coagulation dysfunction in patients with SAP and to establish a multivariate joint prediction model. The receiver operating characteristic curve (ROC) and decision curve were used to evaluate the predictive value of the multivariate joint prediction model for secondary coagulation dysfunction in SAP patients. Results The incidence of secondary coagulation dysfunction in SAP patients was 32.21%. The activated partial thromboplastin time (APTT), prothrombin time (PT) and fibrinogen (FIB) were longer in the observation group than those in the control group (P < 0.05). Acute physiological and chronic health score Ⅱ (APACHEⅡ) score, sequential organ failure assessment (SOFA) score, D-dimer, C-reactive protein and albumin were independent influencing factors of secondary coagulation dysfunction in SAP patients (P < 0.05). The regression equation model was established according to the results of multivariate analysis screened variables, logit (P) =-24.747+0.363×APACHEⅡ score +0.952×SOFA score -0.449× albumin +1.768× D-dimer +1.004× C-reactive protein, with a good fit. Regression model predicted that the AUC value of secondary coagulation dysfunction in SAP patients was 0.937. Decision curve analysis results showed that the Logistic regression model could achieve the maximum clinical benefit when the threshold probability was in the range of 0.06 to 0.97. Conclusion A comprehensive assessment of influencing factors can comprehensively evaluate the condition of patients and identify patients at high risk of coagulation disorders at an early stage.

Key words: pancreatitis, blood coagulation disorders, Logistic models, aged, severe acute pancreatitis, prediction model

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