Evidence map›Paper›PMID 39655179›Full record

ArticleAmerican journal of preventive cardiology2024

Latent class analysis of cardiac structure and function and association with premature cardiovascular disease: The Coronary Artery Risk Development in Young Adults (CARDIA) study.

Michael C Wang, Toluwalase Awoyemi, Norrina B Allen, Ravi Shah, Matthew Nayor, Yuan Luo, Joao A C Lima, Donald M Lloyd-Jones, Sadiya S Khan

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2024. 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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Michael C WangDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.
Toluwalase AwoyemiDepartment of Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States.
Norrina B AllenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Ravi ShahDivision of Cardiology, Vanderbilt University Medical Center, Nashville, TN, United States.
Matthew NayorDivision of Cardiology, Boston University School of Medicine, Boston, MA, United States.
Yuan LuoDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Joao A C LimaDivision of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Donald M Lloyd-JonesDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Sadiya S KhanDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To generate data-driven phenogroups of cardiac structure and function based on echocardiographic measures assessed in asymptomatic middle-aged adults free of CVD, and examine associations between these newly defined phenogroups and incident premature cardiovascular disease (CVD). Methods: Data were analyzed from participants in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study free of CVD who underwent an echocardiogram at the Year 25 (2010-2011) in-person examination. Continuous echocardiographic measures of left heart structure, left ventricular systolic function (including strain) and diastolic function, right ventricular systolic function, and hemodynamic measures were included in latent class analysis to generate novel phenogroups. Associations between data-driven phenogroups and risk of premature CVD (coronary artery disease, stroke, or heart failure) were estimated using Cox proportional hazards regression adjusted for traditional CVD risk factors. Results: Among 3361 participants, mean (standard deviation) age was 50.1 (3.6) years, 57% were female, and 46% were non-Hispanic Black. Three overall phenogroups were identified and labeled as: (1) optimal cardiac mechanics (36.2%); (2) suboptimal systolic function (38.2%); and (3) suboptimal diastolic function (25.6%). Over a median 8.9 years of follow-up, 121 premature CVD events occurred. Risk of CVD was higher in the suboptimal diastolic function group (unadjusted hazard ratio [HR] 4.08 [95% CI: 2.48, 6.71] and adjusted HR 1.95 [1.12, 3.40]) compared with the optimal group. The suboptimal systolic function group had a higher unadjusted risk of CVD (1.86 [1.10, 3.15]), which was attenuated after adjustment for CVD risk factors (1.36 [0.79, 2.36]). Conclusions and relevance: Unbiased, data-driven clustering of echocardiographic measures in middle-aged adults identified distinct patterns of cardiac remodeling that were associated with risk of premature CVD. Premature CVD risk was highest with the pattern of suboptimal diastolic function. This suggests potential utility of a composite echocardiography-based index for prioritizing prevention strategies earlier in the life course.

Indexed as

Cardiovascular diseaseEchocardiogramLatent class analysisPhenogroup

Identifiers

PMID39655179
PMCPMC11626721

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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.