Evidence mapPaperPMID 38583752Full record

ArticleThe American journal of medicine2024

Lipoprotein Insulin Resistance Score and Mortality Risk Stratification in Heart Failure.

Sarah Turecamo, Carolina G Downie, Anna Wolska, Samia Mora, James D Otvos, Margery A Connelly, Alan T Remaley, Katherine M Conners, Jungnam Joo, Maureen Sampson and 3 more

Abstract read
In one paragraph

Article in The American journal of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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. Article
4 · The record

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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.

Sarah TurecamoHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Carolina G DownieHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Anna WolskaLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Samia MoraCenter for Lipid Metabolomics, Divisions of Preventive and Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass.
James D OtvosLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Margery A ConnellyLabcorp, Morrisville, NC.
Alan T RemaleyLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Katherine M ConnersHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Jungnam JooOffice of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Maureen SampsonDepartment of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD.
Suzette J BielinskiDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minn.
Joseph J ShearerHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Véronique L RogerHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD. Electronic address: veronique.roger@nih.gov.

Funding

Heart failure Metabolomics: NMR studiesZIAHL006278 · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · 2025 to 2025
$661k
Patient Centered Approaches to Preventing ASCVD EventsK24HL136852 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · 2022 to 2025
$247k
Intramural NIH HHS ZIA HL006278NHLBI NIH HHS K24 HL136852NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

backgroundHigher total serum cholesterol is associated with lower mortality in heart failure. Evaluating associations between lipoprotein subfractions and mortality among people with heart failure may provide insights into this observation.

methodsWe prospectively enrolled a community cohort of people with heart failure from 2003 to 2012 and assessed vital status through 2021. Plasma collected at enrollment was used to measure lipoprotein subfractions via nuclear magnetic resonance spectroscopy. A composite score of 6 lipoprotein subfractions was generated using the lipoprotein insulin resistance index (LP-IR) algorithm. Using covariate-adjusted proportional hazards regression models, we evaluated associations between LP-IR score and all-cause mortality.

resultsAmong 1382 patients with heart failure (median follow-up 13.9 years), a one-standard-deviation (SD) increment in LP-IR score was associated with lower mortality (hazard ratio [HR] 0.93; 95% confidence interval [CI], 0.97-0.99). Among LP-IR parameters, mean high-density lipoprotein (HDL) particle size was significantly associated with lower mortality (HR per 1-SD decrement in mean HDL particle size = 0.83; 95% CI, 0.78-0.89), suggesting that the inverse association between LP-IR score and mortality may be driven by smaller mean HDL particle size.

conclusionsLP-IR score was inversely associated with mortality among patients with heart failure and may be driven by smaller HDL particle size.

Indexed as

Heart FailureInsulin ResistanceAgedFemaleHumansLipoproteinsLipoproteins, HDLMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk AssessmentLipoproteinsLipoproteins, HDLEpidemiologyHeart failureLipoprotein insulin resistance indexLipoprotein subfractionsRisk stratification

Identifiers

PMID38583752
PMCPMC11213682

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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 Socratic graph.