Evidence map›Paper›PMID 40368293›Full record

ArticleHeart rhythm2025

Temporal trends in left ventricular ejection fraction before sudden death in patients with heart failure.

Marita Knudsen Pope, Harpriya Chugh, Arayik Sargsyan, Audrey Uy-Evanado, Angelo Salvucci, Jonathan Jui, Kyndaron Reinier, Sumeet S Chugh

Abstract read
In one paragraph

Article in Heart rhythm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Marita Knudsen PopeCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California; Department of Cardiology, Oslo University Hospital, Ullevaal, and the Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Harpriya ChughCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Arayik SargsyanCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Audrey Uy-EvanadoCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Angelo SalvucciVentura County Health Care Agency, Ventura, California.
Jonathan JuiDepartment of Emergency Medicine, Oregon Health & Science University, Portland, Oregon.
Kyndaron ReinierCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Sumeet S ChughCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California. Electronic address: sumeet.chugh@cshs.org.

Funding

Prediction of imminent sudden cardiac death based on warning signsR01HL147358 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2020 to 2023
$3.2M
Community-Based Evaluation of Sudden Cardiac Death in Hispanics/LatinosR01HL145675 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2019 to 2023
$2.4M
NHLBI NIH HHS R01 HL145675NHLBI NIH HHS R01 HL147358
6 · The paper itself

Abstract

backgroundRisk stratification for sudden cardiac death (SCD) in heart failure (HF) patients is largely based on left ventricular ejection fraction (LVEF) of ≤35%. However, disease-related LV remodeling and medical treatment may change LVEF over time.

objectiveThis study aimed to evaluate the temporal trends in LVEF in patients with HF who experience an SCD.

methodsWe performed 2 retrospective cohort studies (discovery and validation) of patients who experienced SCD after an established diagnosis of HF. Individuals were identified from 2 separate population-based studies of SCD in Oregon and California, if they underwent ≥2 echocardiographic evaluations performed at least 6 months apart.

resultsThe Oregon discovery cohort included 526 patients (male 63.9%; age 70.4 [13.2]), and the California validation cohort 191 patients (male 60.7%; age 74.6 [13.6]). In the discovery cohort, 45% of patients with LVEF of ≤35% on first assessment were reclassified to LVEF of >35% at final assessment (P < .001). Among patients with LVEF of 36%-49%, 66% were reclassified to either ≤35% or >50% (P < .001). In patients with LVEF of >50%, 32% were reclassified to LVEF of <50% (P < .001). Overall, 41.1% of patients in the discovery cohort were reclassified based on LVEF (P < .001). No distinguishing characteristics were identified between patients with an initial LVEF of ≤35% who improved or did not. Similar findings were observed in the validation cohort.

conclusionLVEF category changed significantly over time, resulting in substantial reclassification of risk before the SCD event. These findings highlight the major limitation of using LVEF measured at a single time point as the main predictor of SCD risk.

Indexed as

Death, Sudden, CardiacHeart FailureHeart VentriclesStroke VolumeVentricular Function, LeftAgedCaliforniaCohort StudiesEchocardiographyFemaleFollow-Up StudiesHumansMaleMiddle AgedOregonRetrospective StudiesEchocardiographyHeart failureLeft ventricular ejection fractionSudden cardiac deathTemporal trends

Identifiers

PMID40368293
PMCPMC12317826

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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.