Analysis of risk factors of left bundle branch block secondary to left ventricular systolic dysfunction and its nomogram model
LI Mu-zhang
CHEN Jia-ying
CHEN Shu-fang
WU Jin-tao
ZHANG Lei-ming
LI Xue-jie
MENG Ling-juan
Abstract：Objective To explore the risk factors of left bundle branch block(LBBB)secondary to left ventricular systolic dysfunction(LVSD)patients,establish and evaluate the nomogram model.Methods A total of 940 hospitalized patients with left ventricular ejection fraction(LVEF)＜50％who were treated at The Central China Fuwai Hospital from July 2018 to July 2019 were included.The patients were divided into a training set(658 cases)and a testing set(282 cases)at a ratio of 7∶3.Univariate and multiple logistic regression analysis methods were used to analyze relevant risk factors and construct the nomogram model.Results Multiple logistic regression analysis revealed that age,coronary artery disease,dilated cardiomyopathy(DCM)and left ventricular end diastolic diameter(LVEDD)were the independent risk factors of LBBB secondary to LVSD(P＜0.05).The nomogram model for predicting LBBB secondary to LVSD was established using the above factors.The ROC results showed an AUC of 0.869(95％CI 0.822-0.916)for the training set and an AUC of 0.781(95％CI 0.682-0.881)for the testing set.Additionally,after the internal validation of the nomogram model using Bootstrap resampling 1000 times,the predictive model calibration curve quality was higher.Conclusion Age,coronary artery disease,DCM and LVEDD were the independent risk factors of LBBB secondary to LVSD.The nomogram model established in this study had good predictive effiicacy and discriminative ability,making it capable of predicting the risks of LBBB secondary to LVSD patients.
Keywords：Left ventricular systolic dysfunctionLeft bundle branch blockNomogram
Publication Date：2024-11-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1028-1033 )