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ABSTRACT: Aims
Methods to identify patients at risk for incident HF would be welcome as such patients might benefit from earlier interventions.Methods and results
From a registry of 1251 patients referred for coronary and/or peripheral angiography, we sought to identify independent predictors of incident HF during follow-up and develop a clinical and biomarker strategy to predict this outcome. There were 991 patients free of prevalent HF at baseline. Cox proportional hazard models were developed to predict adjudicated diagnosis of incident HF. Model discrimination and reclassification were evaluated. At follow-up, 177 (18%) developed new-onset HF. Independent predictors of new-onset HF included five clinical variables (age, male sex, heart rate, history of atrial fibrillation/flutter
SUBMITTER: Ibrahim NE
PROVIDER: S-EPMC5933950 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature