Evidence map›Paper›PMID 38403486›Full record

ArticleNutrition, metabolism, and cardiovascular diseases : NMCD2024

Prediction of cardiac death in patients with hypertrophic cardiomyopathy using plasma adipokine levels.

Keitaro Akita, Kohei Hasegawa, Michael A Fifer, Albree Tower-Rader, Jeeyoun Jung, Mathew S Maurer, Muredach P Reilly, Yuichi J Shimada

Abstract readMulticenter Study
In one paragraph

Article in Nutrition, metabolism, and cardiovascular diseases : NMCD, 2024. 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

8 authors.

Keitaro AkitaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Michael A FiferCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Albree Tower-RaderCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jeeyoun JungClinical Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Mathew S MaurerDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Muredach P ReillyDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Yuichi J ShimadaDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: ys3053@cumc.columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
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
Midcareer Mentoring Award for Patient Oriented Research in Geriatric CardiologyK24AG036778 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAURER, MATHEW S · 2010 to 2020
$1.6M
Mentored Patient Oriented Research in Cardiometabolic DiseaseK24HL107643 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI REILLY, MUREDACH P · 2011 to 2020
$1.4M
NCATS NIH HHS UL1 TR001873NHLBI NIH HHS K24 HL107643NHLBI NIH HHS R01 HL157216NHLBI NIH HHS R01 HL168382NIA NIH HHS K24 AG036778
6 · The paper itself

Abstract

BACKGROUNDS AND

aimsHypertrophic cardiomyopathy (HCM) causes cardiac death through both sudden cardiac death (SCD) and death due to heart failure (HF). Although adipokines lead to adverse cardiac remodeling in HCM, the prognostic value of plasma adipokines in HCM remains unknown. We aimed to predict cardiac death in patients with HCM using plasma adipokines. METHODS AND

resultsWe performed a multicenter prospective cohort study of patients with HCM. The outcome was cardiac death including heart transplant, death due to HF, and SCD. With data from 1 institution (training set), a prediction model was developed using random forest classification algorithm based on 10 plasma adipokines. The performance of the prediction model adjusted for 8 clinical parameters was examined in samples from another institution (test set). Time-to-event analysis was performed in the test set to compare the rate of outcome events between the low-risk and high-risk groups determined by the prediction model. In total, 389 (267 in the training set; 122 in the test set) patients with HCM were included. During the median follow-up of 2.7 years, 21 patients experienced the outcome event. The area under the covariates-adjusted receiver-operating characteristics curve was 0.89 (95 % confidence interval [CI] 0.71-0.99) in the test set. revealed the high-risk group had a significantly higher risk of cardiac death (hazard ratio 17.8, 95 % CI 2.1-148.3, P = 0.008).

conclusionThe present multicenter prospective study demonstrated that a panel of plasma adipokines predicts cardiac death in patients with HCM.

Indexed as

AdipokinesBiomarkersCardiomyopathy, HypertrophicCause of DeathDeath, Sudden, CardiacPredictive Value of TestsAdultAgedDecision Support TechniquesFemaleHeart FailureHeart TransplantationHumansMaleMiddle AgedPrognosisAdipokinesBiomarkersAdipokinesCardiac deathHypertrophic cardiomyopathyPrediction

Identifiers

PMID38403486
PMCPMC11116053

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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.