A predictive model for dilated cardiomyopathy with pulmonary hypertension

Area of Science:

• Cardiology
• Pulmonary Medicine
• Medical Informatics

Background:

• Dilated cardiomyopathy (DCM) is a cardiac disorder characterized by left ventricular dilatation and dysfunction.
• Pulmonary hypertension (PH) significantly increases cardiac death risk in DCM patients.
• No existing models predict PH in DCM patients.

Purpose of the Study:

• To develop and validate a predictive model for identifying pulmonary hypertension (PH) in patients with dilated cardiomyopathy (DCM).
• To improve risk stratification and clinical management of DCM patients with PH.

Main Methods:

• Data from 218 DCM patients were analyzed, stratifying them into low, intermediate, and high PH-risk groups.
• Predictive factors were identified using univariable and multivariable analyses.
• A predictive model was established and validated for discriminability, calibration, and clinical efficacy.

Main Results:

• A predictive model for PH in DCM was successfully developed using history of COPD/chronic bronchitis, systolic murmur (SM) at the tricuspid area and apex, and brain natriuretic peptide (BNP) levels.
• The model demonstrated high accuracy and good discriminability (AUC = 0.889).
• The model showed good calibration ability and clinical application value.

Conclusions:

• A reliable model for predicting PH probability in DCM patients has been established.
• The model offers significant clinical applicability for managing DCM patients at risk of PH.