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Simple screening model based on electrocardiogram for patients with dilated cardiomyopathy.

Xiangyu Wang1, Qian Zhang, Na Yang

  • 1Department of Cardiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.

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Summary

A new electrocardiogram (ECG) model effectively screens for dilated cardiomyopathy (DCM), a common cause of heart failure. This simple tool aids early diagnosis, improving patient outcomes.

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Area of Science:

  • Cardiology
  • Medical Diagnostics

Background:

  • Dilated cardiomyopathy (DCM) is a leading cause of heart failure.
  • Early detection of DCM is crucial for effective management and improved patient prognosis.

Purpose of the Study:

  • To develop a simple screening model for dilated cardiomyopathy (DCM) using electrocardiogram (ECG) data.
  • To create a practical tool for identifying potential DCM patients through non-invasive ECG analysis.

Main Methods:

  • A retrospective observational study enrolled 117 DCM patients and 117 non-DCM controls.
  • ECG parameters from left ventricular leads were analyzed using logistic regression to build a nomogram.
  • Model performance was validated using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis.

Main Results:

  • The nomogram incorporated S wave amplitude (V1, V3), R wave amplitude (aVF, V6), and PR interval.
  • The model demonstrated strong discrimination with an area under the ROC curve of 0.904 (training set) and 0.878 (validation set).
  • Good calibration was observed (Hosmer-Lemeshow P = .066), with decision curve analysis showing a net benefit.

Conclusions:

  • The developed nomogram based on ECG parameters is a simple and practical screening tool for potential DCM patients.
  • This ECG-based model facilitates early identification of individuals at risk for dilated cardiomyopathy.
  • The nomogram offers a valuable, accessible method for DCM screening in clinical practice.