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Dataset Information

DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients.


ABSTRACT:

Aims

Patients with non-ischemic dilated cardiomyopathy (DCM) are at considerable risk for end-stage heart failure (HF), requiring close monitoring to identify early signs of disease. We aimed to develop a model to predict the 5-years risk of end-stage HF, allowing for tailored patient monitoring and management.

Methods and results

Derivation data were available from a Dutch cohort of 293 DCM patients, with external validation available from a Czech Republic cohort of 235 DCM patients. Candidate predictors spanned patient and family histories, ECG and echocardiogram measurements, and biochemistry. End-stage HF was defined as a composite of death, heart transplantation, or implantation of a ventricular assist device. Lasso and sigmoid kernel support vector machine (SVM) algori

SUBMITTER: Schmidt AF 

PROVIDER: S-EPMC10516079 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature