Evidence map›Paper›PMID 35278270›Full record

ArticleEuropean journal of heart failure2022

Genetic and phenotypic profiling of supranormal ejection fraction reveals decreased survival and underdiagnosed heart failure.

Iain S Forrest, Ghislain Rocheleau, Shantanu Bafna, Edgar Argulian, Jagat Narula, Pradeep Natarajan, Ron Do

Open access · greenAbstract read
In one paragraph

Article in European journal of heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Article
  3. Phenotyping Heart Failure: Looking Beyond Left Ventricular Ejection Fraction.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 2024 update in heart failure.ESC heart failure · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Iain S ForrestThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ghislain RocheleauThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Shantanu BafnaThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Edgar ArgulianMount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jagat NarulaMount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pradeep NatarajanProgram in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USBroad Institute · US

Funding

MOUNT SINAI MEDICAL SCIENTIST TRAINING PROGRAMT32GM007280 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BARON, MARGARET H · 1985 to 2021
$22.8M
Clonal hematopoiesis in the Womens Health Initiative Memory StudyR01HL148565 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ALEXANDER P REINER, Eric A. Whitsel · 2019 to 2026
$5.9M
Clonal hematopoiesis in humans: determinants of development and progressionR01HL148050 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, NATARAJAN, PRADEEP · 2019 to 2022
$5.9M
Whole genome sequences in individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Satoshi Koyama, Gina Marie Peloso · 2019 to 2026
$4.7M
Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4M
Resolving Causal Influences Among Correlated Risk Biomarkers for Coronary Artery DiseaseR01HL139865 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON · 2018 to 2021
$1.7M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL139865NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R01 HL148050NHLBI NIH HHS R01 HL148565NHLBI NIH HHS R01 HL155915NIGMS NIH HHS R35 GM124836NIGMS NIH HHS T32 GM007280
6 · The paper itself

Abstract

aimsIndividuals with supranormal left ventricular ejection fraction (snLVEF; LVEF >70%) have increased mortality. However, the genetic and phenotypic profile of snLVEF remains unknown. This study aimed to determine the relationship of both snLVEF genetic risk and phenotype with survival and underdiagnosed heart failure (HF). METHODS AND

resultsA snLVEF genetic risk score (GRS) was applied and cases of snLVEF were identified in 486 754 individuals across two population-based cohorts (BioMe Biobank and UK Biobank). The snLVEF GRS and phenotype were evaluated for association with survival, as well as HF diagnosis, markers, symptoms, and medications. Of 486 754 participants, the median age was 58 years, 20 069 (4.1%) died, and 10 088 (2.1%) had diagnosed HF. Both snLVEF GRS (hazard ratio [HR] 1.1 for top 10% vs. bottom 10% GRS; p = 0.002) and phenotype (HR 1.4; p = 0.003) were associated with increased all-cause mortality. Both snLVEF GRS and phenotype were associated with reduced HF diagnosis (odds ratio [OR] 0.97 and OR 0.63, respectively; both p ≤0.002). However, the snLVEF GRS and phenotype were both associated with elevated brain natriuretic peptide (BNP) levels (146 and 185 pg/ml increase, respectively; p <0.001), including 268 out of 455 (59%) individuals with snLVEF phenotype who had BNP >100 pg/ml. Among 476 666 participants without HF diagnoses, snLVEF GRS and phenotype were associated with increased HF symptoms (e.g. exertional dyspnoea OR 1.4 and OR 1.3; p <0.003) and HF medications (e.g. loop diuretic OR 1.2 and OR 1.03; p <0.02). Associations were consistent in hypertensive individuals without cardiac comorbidities.

conclusionsGenetic predisposition to and presence of snLVEF are associated with decreased survival and underdiagnosed HF.

Indexed as

Heart FailureHumansStroke VolumeVentricular Function, LeftBiobankElectronic health recordGenetic risk scoreHeart failureSupranormal ejection fractionUnderdiagnosis

Identifiers

PMID35278270
PMCPMC9464795
OpenAlexW4220845547

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.