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心脏骤停患者复苏成功后院内死亡的风险预测模型构建及验证

李玉 陈阵 郭鑫 梁依凡 王珏艳 李锦磊 杨先婷 艾芬

实用临床医药杂志2025,Vol.29Issue(11):26-32,41,8.
实用临床医药杂志2025,Vol.29Issue(11):26-32,41,8.DOI:10.7619/jcmp.20246109

心脏骤停患者复苏成功后院内死亡的风险预测模型构建及验证

Construction and validation of a risk prediction model for in-hospital death after successful resuscitation in patients with cardiac arrest

李玉 1陈阵 2郭鑫 3梁依凡 2王珏艳 1李锦磊 1杨先婷 1艾芬2

作者信息

  • 1. 江汉大学医学部,湖北武汉,430113
  • 2. 华中科技大学同济医学院附属武汉中心医院,急诊科,湖北武汉,430014
  • 3. 华中科技大学同济医学院附属武汉中心医院,心血管内科,湖北武汉,430014
  • 折叠

摘要

Abstract

Objective To construct and validate a risk prediction model for in-hospital death af-ter successful resuscitation in patients with cardiac arrest.Methods A retrospective study was con-ducted on 295 patients with cardiac arrest who successfully restored spontaneous circulation after car-diopulmonary resuscitation and were further treated in hospital.The patients were divided into training and validation sets using K-fold cross-validation and then grouped and compared based on whether in-hospital death occurred.A binary Logistic regression analysis was used to screen risk prediction fac-tors,and a nomogram prediction model was constructed.The model performance was evaluated and validated in the training and validation sets,respectively.Results The results of the multivariate Logistic regression analysis showed that hospitalization duration(OR=1.180;95%CI,1.080 to 1.280;P<0.001),norepinephrine dose(OR=0.980;95%CI,0.970 to 0.990;P=0.002),ini-tial respiratory rate after resuscitation(OR=1.090;95%CI,1.030 to 1.150;P=0.004),and sinus rhythm recovery after resuscitation(OR=4.280;95%CI,1.670 to 10.980;P=0.003)were inde-pendent influencing factors for in-hospital death.A nomogram model was constructed based on these in-dependent influencing factors,and it was verified that the model had good discrimination,calibration,applicability,and rationality.Conclusion The influencing factors for in-hospital death after successful resuscitation in patients with cardiac arrest include hospitalization duration,norepinephrine dose,initial respiratory rate after resuscitation,and sinus rhythm recovery after resuscitation.The nomo-gram model constructed based on these factors can provide a reference for clinical decision-making.

关键词

心脏骤停/心源性猝死/心肺复苏/自主循环恢复/院内死亡/列线图模型/窦性心律/去甲肾上腺素

Key words

cardiac arrest/sudden cardiac death/cardiopulmonary resuscitation/return of spontaneous circulation/in-hospital death/nomogram model/sinus rhythm/norepinephrine

分类

医药卫生

引用本文复制引用

李玉,陈阵,郭鑫,梁依凡,王珏艳,李锦磊,杨先婷,艾芬..心脏骤停患者复苏成功后院内死亡的风险预测模型构建及验证[J].实用临床医药杂志,2025,29(11):26-32,41,8.

基金项目

湖北省科技厅自然科学基金资助项目(2024AFB893) (2024AFB893)

实用临床医药杂志

1672-2353

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