天津医药 ›› 2025, Vol. 53 ›› Issue (5): 509-513.doi: 10.11958/20250456

• 临床研究 • 上一篇    下一篇

急性胰腺炎并发低血压的危险因素分析及预测模型建立

董丹(), 陈立娟, 俞荷花()   

  1. 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:2025-02-09 修回日期:2025-03-23 出版日期:2025-05-15 发布日期:2025-05-28
  • 通讯作者: △ E-mail:yuhehua0704@126.com
  • 作者简介:董丹(1990),女,医师,主要从事急诊危重症救治方面研究。E-mail:769985126@qq.com

Analysis of risk factors and establishment of prediction model of acute pancreatitis complicated with hypotension

DONG Dan(), CHEN Lijuan, YU Hehua()   

  1. Department of Emergency Intensive Care Medicine, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai 200003, China
  • Received:2025-02-09 Revised:2025-03-23 Published:2025-05-15 Online:2025-05-28
  • Contact: △ E-mail:yuhehua0704@126.com

摘要:

目的 探讨急性胰腺炎(AP)并发低血压的危险因素,并建立预测模型。方法 选取我院AP患者198例为研究对象。统计其治疗期间低血压发生率。将出现低血压的患者纳入观察组,未出现低血压的患者纳入对照组。通过Logistic回归分析筛选AP患者并发低血压的危险因素,建立AP并发低血压列线图预测模型并进行验证。结果 198例AP患者住院期间有88例(44.44%)出现低血压。高龄、低血压病史、合并高血压、病情严重、继发感染、并发呼吸系统损害为AP并发低血压的独立危险因素,高体质量指数(BMI)是其保护因素(P<0.05)。列线图预测模型的C-index为0.899,预测AP并发低血压的曲线下面积(AUC)为0.899(95%CI:0.848~0.937),敏感度为85.23%,特异度为83.64%,约登指数为0.689,校准曲线Brier得分为0.146,校准斜率为0.735,列线图模型预测AP并发低血压的发生风险与实际风险具有良好的一致性。结论 根据影响因素建立的列线图预测模型对预测AP并发低血压具有良好的区分度和适用性。

关键词: 胰腺炎, 低血压, 危险因素, 列线图, 预测模型

Abstract:

Objective To investigate the risk factors of acute pancreatitis (AP) complicated with hypotension and establish a prediction model. Methods From April 2020 to April 2024, 198 patients with AP in our hospital were selected as the research objects. The incidence of hypotension during treatment was measured. Patients with hypotension were included in the observation group, and those without hypotension were included in the control group. The risk factors of hypotension in AP patients were screened by Logistic regression analysis. R3.5.1 software was used to establish and verify the prediction model of AP complicated hypotension based on the selected risk factors. Results Among 198 AP patients during hospitalization, 88 (44.44%) had hypotension. Advanced age, history of hypotension, combined hypertension, severity of disease, secondary infection and respiratory system damage were the independent risk factors for AP complicated hypotension, and higher body mass index (BMI) was the protective factor (P<0.05). The C-index of the nomogram prediction model was 0.899, and the AUC for predicting AP with hypotension was 0.899 (95%CI: 0.848-0.937). The sensitivity was 85.23%, the specificity was 83.64%, the Yoden index was 0.689, the Brier score of the calibration curve was 0.146 and the calibration slope was 0.735. The risk of AP complicated with hypotension predicted by the nomogram model was in good agreement with the actual risk. Conclusion The nomogram prediction model established based on influencing factors demonstrates good discrimination and applicability in predicting AP complicated with hypotension.

Key words: pancreatitis, hypotension, risk factors, nomograms, prediction model

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