1. Introduction
DCM, coronary artery diseases, systolic dysfunction, cardiac disorders
DILATED CARDIOMYOPATHY, LEFT VENTRICULAR DILATATION, CARDIAC DISORDERS, CORONARY ARTERY DISEASES, REGRESSION, HEART FAILURE, SYSTOLIC DYSFUNCTION
Dilated cardiomyopathy (DCM) is one of the most common causes of heart failure. Therefore, screening and early diagnosis of potential DCM patients is beneficial. Electrocardiogram (ECG) can be an inexpensive and easily available screening tool. We aimed to construct a simple screening model for DCM based on electrocardiogram. In this retrospective observational study, we consecutively enrolled 117 DCM patients between July 1, 2016 and July 1, 2021 as the DCM group, while 117 patients hospitalized in the same period with normal echocardiography and ECG were selected as the non-DCM group. Patients were randomly assigned to the training and validation sets at 8:2. ECG parameters of left ventricular related leads were exacted. Logistic regression was performed to evaluate screening indicators of ECG parameters and a nomogram was conducted. The screening ability of the model was evaluated using receiver operating characteristic analysis. Furthermore, the nomogram was assessed using calibration curve and decision curve analysis. Screening indicators included in the nomogram were the amplitude of S wave in V1 and V3 leads, the amplitude of R wave in aVF and V6 leads, and PR interval. The nomogram performed satisfactory discrimination in the training (area under the receiver operating characteristic curve = 0.904) and validation (area under the receiver operating characteristic curve = 0.878) sets and good calibration (Hosmer–Lemeshow Dilated cardiomyopathy (DCM) is a group of cardiac disorders characterized by left ventricular dilatation and systolic dysfunction without severe sufficiently coronary artery diseases or abnormal load conditions, which is one of the most common causes of heart failure.With the rapidly developing cardiovascular imaging technologies, particularly the widespread use of cardiovascular magnetic resonance, we can identify tissue characterization and deepen the phenotype of DCM.