[1]解晓媛,高蕾,郝六一,等.原发性扩张型心肌病左心室逆重构独立预测模型的构建[J].陕西医学杂志,2025,54(10):1365-1369.[doi:DOI:10.3969/j.issn.1000-7377.2025.10.012]
 XIE Xiaoyuan,GAO Lei,HAO Liuyi,et al.Development of a predictive model for left ventricular reverse remodeling in primary dilated cardiomyopathy[J].,2025,54(10):1365-1369.[doi:DOI:10.3969/j.issn.1000-7377.2025.10.012]
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原发性扩张型心肌病左心室逆重构独立预测模型的构建

《陕西医学杂志》[ISSN:1000-7377/CN:61-1281/TN]

卷:
54
期数:
2025年10期
页码:
1365-1369
栏目:
临床研究
出版日期:
2025-10-05

文章信息/Info

Title:
Development of a predictive model for left ventricular reverse remodeling in primary dilated cardiomyopathy
作者:
解晓媛高蕾郝六一薛萱
(山西医科大学附属运城市中心医院心血管内科,山西 运城 044000)
Author(s):
XIE XiaoyuanGAO LeiHAO LiuyiXUE Xuan
(Department of Cardiology,Yuncheng Central Hospital,Shanxi Medical University,Yuncheng 044000,China)
关键词:
原发性扩张型心肌病左心室逆重构独立预测模型影响因素预测价值
Keywords:
Primary dilated cardiomyopathyLeft ventricular reverse remodelingIndependent predictive modelInfluencing factorsPredictive value
分类号:
R 542.2
DOI:
DOI:10.3969/j.issn.1000-7377.2025.10.012
文献标志码:
A
摘要:
目的:研究原发性扩张型心肌病(DCM)患者左心室逆重构(LVRR)的影响因素,并构建独立预测模型供临床参考。方法:回顾性分析收治的156例DCM患者,收集其临床资料,包括基本信息、临床特征、用药情况、影像学和心电图参数及生物标志物等。根据治疗6个月后的随访结果,将患者分为LVRR组(74例)和非LVRR组(82例)。对比两组临床资料,针对具有统计学意义的各项指标,进一步实施多因素Logistic回归分析,确定LVRR的独立预测因素,并构建预测模型,利用受试者工作特征(ROC)曲线下面积(AUC)评估其预测效能。结果:LVRR组的病程短于非LVRR组,DCM家族史比例、左束支传导阻滞(LBBB)比例、首次左心室舒张末期内径(LVEDD)、末次LVEDD、心率均低于非LVRR组,首次LVEDD<65 mm比例、首次左心室射血分数(LVEF)、首次LVEF>35%比例、末次LVEF均高于非LVRR组(均P<0.05);多因素Logistic回归分析显示,无LBBB(OR=0.754,95%CI:0.623~0.872,P<0.001)、首次LVEDD<65 mm(OR=1.014,95%CI:1.121~5.962,P<0.001)、首次LVEF>35%(OR=1.364,95%CI:1.137~5.449,P<0.001)为DCM患者发生LVRR的独立预测因素;预测模型验证显示模型有效且拟合良好(P<0.05);ROC曲线分析显示AUC为0.902(95%CI:0.856~0.949),当cut-off值为0.671时,敏感度为87.80%,特异度为79.30%(均P<0.05)。结论:无LBBB、首次LVEDD<65 mm、首次LVEF>35%是影响原发性扩张型心肌病左心室逆重构的独立预测因素,基于此构建的预测模型具有较高的预测价值。
Abstract:
Objective:To investigate the influencing factors of left ventricular reverse remodeling (LVRR) in patients with idiopathic dilated cardiomyopathy (DCM),and to establish an independent predictive model for LVRR.Methods:A retrospective analysis was conducted on 156 patients with DCM admitted.Their clinical data were collected,including basic information,clinical characteristics,medication use,imaging and electrocardiogram parameters,and biomarkers,etc.According to the follow-up results after 6 months of treatment,the patients were divided into LVRR group (74 cases) and non-LVRR group (82 cases).The clinical data of the two groups were compared,and multivariate Logistic regression analysis was performed to determine the independent predictors of LVRR for statistically significant indicators,and a predictive model was constructed.The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive efficacy.Results:The course of disease in LVRR group was shorter than that in non-LVRR group.The proportion of DCM family history,LBBB,first LVEDD,last LVEDD and heart rate in LVRR group were lower than those in non-LVRR group.The proportion of LVEDD < 65 mm at the first time,LVEF at the first time,LVEF > 35% at the first time,and LVEF at the last time were higher in the LVRR group than in the non-LVRR group (all P<0.05).Multivariate Logistic regression analysis showed that no LBBB (OR=0.754,95%CI:0.623-0.872,P<0.001),LVEDD < 65 mm at the first time (OR=1.014,95%CI:1.121-5.962,P<0.001) and first LVEF > 35% (OR=1.364,95%CI:1.137-5.449,P<0.001) were independent predictors of LVRR in DCM patients.The validation of the prediction model showed that the model was effective and fitted well (P<0.05).ROC curve analysis showed that the AUC was 0.902 (95%CI:0.856-0.949),when the cut-off value was 0.671,the sensitivity was 87.80%,and the specificity was 79.30% (all P<0.05).Conclusion:Absence of LBBB,initial LVEDD < 65 mm,and initial LVEF > 35% are independent predictors of left ventricular reverse remodeling in patients with idiopathic dilated cardiomyopathy,and the prediction model based on these factors has high predictive value.

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备注/Memo

备注/Memo:
山西省重点研发计划项目(DZHG202416231)
更新日期/Last Update: 2025-10-09