Evidence map›Paper›PMID 36870945›Full record

ArticleJournal of the American Heart Association2023

Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record-Based Population Cohort Study.

Sheila M Manemann, Suzette J Bielinski, Ethan D Moser, Jennifer L St Sauver, Paul Y Takahashi, Véronique L Roger, Janet E Olson, Alanna M Chamberlain, Alan T Remaley, Paul A Decker and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  19. Lipid Swings Provoke Vascular Inflammation.Endocrinology and metabolism (Seoul, Korea) · 2024
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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

12 authors at 3 institutions in 1 country.

Sheila M ManemannDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.
Suzette J BielinskiDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-2905-5430
Ethan D MoserDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0003-1094-9108
Jennifer L St SauverDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.
Paul Y TakahashiDivision of Community Internal Medicine, Department of Medicine Mayo Clinic Rochester MN.
Véronique L RogerDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-9347-7865
Janet E OlsonDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.
Alanna M ChamberlainDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0003-1888-9584
Alan T RemaleyLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.
Paul A DeckerDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.
Jill M KillianDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0003-3906-4020
Nicholas B LarsonDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-3468-4215
Mayo Clinic in Florida · USMayo Clinic · USNational Institutes of Health · US

Funding

Harnessing the Electronic Health Record to Predict Risk of Cardiovascular DiseaseR01HL136659 · NHLBI · MAYO CLINIC ROCHESTER · PI BIELINSKI, SUZETTE JANINE · 2018 to 2021
$3.2M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NHLBI NIH HHS R01 HL136659NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

Background Larger within-patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require ≥3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record-based population cohort and assessed associations with incident CVD. Methods and Results We identified all individuals ≥40 years of age who resided in Olmsted County, MN, on January 1, 2006 (index date), without prior CVD, defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention, or CVD death. Patients with ≥3 measurements of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, or triglycerides during the 5 years before the index date were retained. Lipid variability was calculated using variability independent of the mean. Patients were followed through December 31, 2020 for incident CVD. We identified 19 652 individuals (mean age 61 years; 55% female), who were CVD-free and had variability independent of the mean calculated for at least 1 lipid type. After adjustment, those with highest total cholesterol variability had a 20% increased risk of CVD (Q5 versus Q1 hazard ratio, 1.20 [95% CI, 1.06-1.37]). Results were similar for low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Conclusions In a large electronic health record-based population cohort, high variability in total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol was associated with an increased risk of CVD, independent of traditional risk factors, suggesting it may be a possible risk marker and target for intervention. Lipid variability can be calculated in the electronic health record environment, but more research is needed to determine its clinical utility.

Indexed as

Cardiovascular DiseasesCholesterol, HDLCholesterol, LDLCohort StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedCholesterol, HDLCholesterol, LDLcholesterolepidemiologyLDLtriglycerides

Identifiers

PMID36870945
PMCPMC10111433
OpenAlexW4323073543

What OpenQuestion holds

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LicenceCC BY-NC
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 OpenQuestion graph.