Evidence map›Paper›PMID 31217994›Full record

ArticleOpen heart

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

Kalyani Anil Boralkar, Yukari Kobayashi, Kegan J Moneghetti, Vedant S Pargaonkar, Mirela Tuzovic, Gomathi Krishnan, Matthew T Wheeler, Dipanjan Banerjee, Tatiana Kuznetsova, Benjamin D Horne and 3 more

Abstract read
In one paragraph

Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Intermittent fasting and changes in clinical risk scores: Secondary analysis of a randomized controlled trial.International journal of cardiology. Cardiovascular risk and prevention · 2023
    Article
  3. Article
  4. The role of bioelectrical phase angle in patients with heart failure.Reviews in endocrine & metabolic disorders · 2023
    Review
  5. Observational
  6. "Get with the Guidelines Heart Failure Risk Score" for mortality prediction in patients undergoing MitraClip.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Kalyani Anil BoralkarCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Yukari KobayashiCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Kegan J MoneghettiCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Vedant S PargaonkarCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Mirela TuzovicCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Gomathi KrishnanCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Matthew T WheelerDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA.
Dipanjan BanerjeeCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Tatiana KuznetsovaResearch Unit Hypertension and Cardiovascular Epidemiology KU Leuven, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Benjamin D HorneIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.ORCID 0000-0002-2656-0263
Kirk U KnowltonCardiovascular Diseases, Intermountain Medical Center, Murray, Utah, USA.
Paul A HeidenreichCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.
Francois HaddadCardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

heart failureheart failure preserved ejection fractionheart failure with normal ejection fractionquality of care and outcomes

Identifiers

PMID31217994
PMCPMC6546198

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.