… This study sought to review the literature for risk prediction models in patients with heart
failure and to identify the most consistently reported independent predictors of risk across models…

… disease progression create important challenges in patient management. Because the impact
of these factors and their interactions remain incompletely understood, predicting patients’ …

… The moderate to poor performance of previous risk prediction models has often been ascribed
to the heterogeneity of patients with HF. However, their modest performance is more likely …

… prediction rule to assess severity of illness in patients presenting with heart failure might
improve physician risk assessment … the use of a heart failure prediction rule because the majority …

… clinical cardiovascular disease.7 In this study, we sought to determine a parsimonious
risk prediction equation for use in primary care setting to identify individuals at high risk for …

… of the underlying biology of heart failure, as a means to risk-stratify patients and improve our
… the predictive utility of 8 biomarkers, reflective of diverse biological pathways in heart failure: …

… effect sizes and their associated 95% CIs with p values; covariates included in the risk
assessment models in relation to outcome. In situations in which multiple articles were published …

… To understand the robustness of risk prediction models for heart failure (HF), we conducted
a systematic literature review to (1) identify HF risk-prediction models, (2) assess statistical …

… In this review, we describe the risk factors that have been associated with hospitalization
risk in HF and the various multimarker risk prediction schemes developed to predict HF …

… , various predictive models approved for CHF patients … risk prediction score is powerful
tool for risk assessment of three-year fatal and non-fatal cardiovascular events in CHF patients. …