Improving risk stratification in heart failure with preserved ejection fraction by combining two validated risk scores

Introduction The Intermountain Risk Score (IMRS) was developed and validated to predict short-term and long-term mortality in hospitalised patients using demographics and commonly available laboratory data. In this study, we sought to determine whether the IMRS also predicts all-cause mortality in p...

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Main Authors: Kirk U Knowlton, Benjamin D Horne, Paul A Heidenreich, Gomathi Krishnan, Kalyani Anil Boralkar, Yukari Kobayashi, Kegan J Moneghetti, Vedant S Pargaonkar, Mirela Tuzovic, Matthew T Wheeler, Dipanjan Banerjee, Tatiana Kuznetsova, Francois Haddad
Format: Article
Language:English
Published: BMJ Publishing Group 2019-05-01
Series:Open Heart
Online Access:https://openheart.bmj.com/content/6/1/e000961.full
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Summary:Introduction The Intermountain Risk Score (IMRS) was developed and validated to predict short-term and long-term mortality in hospitalised patients using demographics and commonly available laboratory data. In this study, we sought to determine whether the IMRS also predicts all-cause mortality in patients hospitalised with heart failure with preserved ejection fraction (HFpEF) and whether it is complementary to the Get with the Guidelines Heart Failure (GWTG-HF) risk score or N-terminal pro-B-type natriuretic peptide (NT-proBNP).Methods and results We used the Stanford Translational Research Integrated Database Environment to identify 3847 adult patients with a diagnosis of HFpEF between January 1998 and December 2016. Of these, 580 were hospitalised with a primary diagnosis of acute HFpEF. Mean age was 76±16 years, the majority being female (58%), with a high prevalence of diabetes mellitus (36%) and a history of coronary artery disease (60%). Over a median follow-up of 2.0 years, 140 (24%) patients died. On multivariable analysis, the IMRS and GWTG-HF risk score were independently associated with all-cause mortality (standardised HRs IMRS (1.55 (95% CI 1.27 to 1.93)); GWTG-HF (1.60 (95% CI 1.27 to 2.01))). Combining the two scores, improved the net reclassification over GWTG-HF alone by 36.2%. In patients with available NT-proBNP (n=341), NT-proBNP improved the net reclassification of each score by 46.2% (IMRS) and 36.3% (GWTG-HF).Conclusion IMRS and GWTG-HF risk scores, along with NT-proBNP, play a complementary role in predicting outcome in patients hospitalised with HFpEF.
ISSN:2053-3624