Evidence map›Paper›PMID 41065251›Full record

ArticleJournal of the American Heart Association2025

Endothelial Cell-Related Proteins in Plasma Predict Major Adverse Cardiovascular Events and Worsening Heart Failure in Patients With Hypertrophic Cardiomyopathy.

Shogo Tamura, Keitaro Akita, Michael A Fifer, Albree Tower-Rader, Mathew S Maurer, Yuichi J Shimada

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Shogo TamuraDepartment of Biological Sciences Columbia University New York NY USA.ORCID 0009-0002-3205-5105
Keitaro AkitaDivision of Cardiology, Department of Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0001-5395-1887
Michael A FiferCardiology Division, Department of Medicine Massachusetts General Hospital, Harvard Medical School Boston MA USA.ORCID 0000-0002-8363-445X
Albree Tower-RaderCardiology Division, Department of Medicine Massachusetts General Hospital, Harvard Medical School Boston MA USA.ORCID 0000-0001-7242-0774
Mathew S MaurerDivision of Cardiology, Department of Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0001-5400-5008
Yuichi J ShimadaDivision of Cardiology, Department of Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0002-3494-307X

Funding

SCAN-MP (Screening for Cardiac Amyloidosis with Nuclear imaging in Minority Populations) COVID-19 SuppplementR01HL139671 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAURER, MATHEW S, RUBERG, FREDERICK LIEF · 2019 to 2023
$7.4M
Proteomics profiling in hypertrophic cardiomyopathy and cardiac event predictionR01HL157216 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMADA, YUICHI · 2021 to 2025
$3.5M
Transcriptomics, pathobiology, and cardiac event in hypertrophic cardiomyopathyR01HL168382 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yuichi Shimada · 2023 to 2026
$2.9M
Analysis of Lumbar Spine Stenosis Specimens for Identification of Transthyretin Cardiac AmyloidosisR01AG081582 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATHEW S MAURER · 2023 to 2026
$2.8M
NHLBI NIH HHS R01 HL139671NHLBI NIH HHS R01 HL157216NHLBI NIH HHS R01 HL168382NIA NIH HHS R01 AG081582
6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM) often causes major adverse cardiovascular events (MACE) and worsening heart failure (HF). Endothelial cell (EC) dysfunction is known to be involved in the pathogenesis of HCM. However, the prognostic value of proteins related to EC function (EC-related proteins) in HCM is unknown.

methodsIn this prospective cohort study of patients with HCM, we measured plasma levels of 90 EC-related proteins upon enrollment. The primary outcome measure was MACE. The secondary outcome measure was worsening HF. We developed machine learning models based on EC-related proteins to predict MACE or worsening HF using data from one institution (training set). We tested the predictive ability in independent samples from the other institution (test set) and performed time-to-event analyses.

resultsThe study included 722 patients (n=458 in the training set and n=264 in the test set). Using our EC-related protein-based model, the area under the receiver-operating-characteristic curve to predict MACE was 0.71 (95% CI, 0.64-0.77) and that for worsening HF was 0.71 (95% CI, 0.63-0.79). When we divided the test set into low- and high-risk groups according to the predicted probabilities derived from the training set, the high-risk groups had significantly higher risks of developing MACE and worsening HF compared with the low-risk groups (both

conclusionsThe present prospective study demonstrated that EC-related proteins in plasma predict MACE and worsening HF in patients with HCM. These EC-related proteins have a potential to become novel biomarkers for risk stratification in HCM to improve current prediction models.

Indexed as

Cardiomyopathy, HypertrophicEndothelial CellsHeart FailureAdultAgedBiomarkersDisease ProgressionFemaleHumansMachine LearningMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentBiomarkersbiomarkerendothelial cellhypertrophic cardiomyopathyprognosis

Identifiers

PMID41065251
PMCPMC12684574

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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.