Evidence map›Paper›PMID 39318685›Full record

ArticleEuropean heart journal. Digital health2024

Latent profiles of global electrical heterogeneity: the Hispanic Community Health Study/Study of Latinos.

Larisa G Tereshchenko, Kazi T Haq, Stacey J Howell, Evan C Mitchell, Jesús Martínez, Jessica Hyde, Genesis Briceno, Jose Pena, Edvinas Pocius, Akram Khan and 8 more

Abstract read
In one paragraph

Article in European heart journal. Digital health, 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Larisa G TereshchenkoQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0002-6976-1313
Kazi T HaqSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
Stacey J HowellSection of Electrophysiology, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.
Evan C MitchellDepartment of Surgery, Brown University School of Medicine, Providence, RI, USA.
Jesús MartínezSchool of Medicine, Oregon Health & Science University, Portland, OR, USA.
Jessica HydeSchool of Medicine, Oregon Health & Science University, Portland, OR, USA.
Genesis BricenoSchool of Medicine, Oregon Health & Science University, Portland, OR, USA.
Jose PenaSchool of Medicine, Oregon Health & Science University, Portland, OR, USA.
Edvinas PociusSchool of Medicine, Oregon Health & Science University, Portland, OR, USA.
Akram KhanSchool of Medicine, Oregon Health & Science University, Portland, OR, USA.
Elsayed Z SolimanEpidemiological Cardiology Research Center, Division of Public Health Sciences and Department of Medicine, Cardiology Section, Wake Forest School of Medicine, Winston Salem, NC, USA.
João A C LimaDepartment of Medicine, Cardiovascular Division, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Samir R KapadiaHeart, Vascular & Thoracic Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0002-0026-3391
Anita D Misra-HebertQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH 44195, USA.
Michael W KattanQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0002-3840-4161
Mayank M KansalDepartment of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
Martha L DaviglusDepartment of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
Robert KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA.

Funding

Novel ECG Measures and Risk of Sudden Cardiac DeathR01HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2013 to 2016
$1.5M
Novel ECG measures and risk of sudden cardiac deathR56HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2018 to 2018
$396k
American Heart Association-American Stroke Association 23IPA1054947American Heart Association-American Stroke Association 23TPA1141088NHLBI NIH HHS R01 HL118277NHLBI NIH HHS R56 HL118277
6 · The paper itself

Abstract

Aims: Despite the highest prevalence of stroke, obesity, and diabetes across races/ethnicities, paradoxically, Hispanic/Latino populations have the lowest prevalence of atrial fibrillation and major Minnesota code-defined ECG abnormalities. We aimed to use Latent Profile Analysis in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) population to obtain insight into epidemiological discrepancies. Methods and results: We conducted a cross-sectional analysis of baseline HCHS/SOL visit. Global electrical heterogeneity (GEH) was measured as spatial QRS-T angle (QRSTa), spatial ventricular gradient azimuth (SVGaz), elevation (SVGel), magnitude (SVGmag), and sum absolute QRST integral (SAIQRST). Statistical analysis accounted for the stratified two-stage area probability sample design. We fitted a multivariate latent profile generalized structural equation model adjusted for age, sex, ethnic background, education, hypertension, diabetes, smoking, dyslipidaemia, obesity, chronic kidney disease, physical activity, diet quality, average RR' interval, median beat type, and cardiovascular disease (CVD) to gain insight into the GEH profiles. Among 15 684 participants (age 41 years; 53% females; 6% known CVD), 17% had an increased probability of likely abnormal GEH profile (QRSTa 80 ± 27°, SVGaz -4 ± 21°, SVGel 72 ± 12°, SVGmag 45 ± 12 mVms, and SAIQRST 120 ± 23 mVms). There was a 23% probability for a participant of being in Class 1 with a narrow QRSTa (40.0 ± 10.2°) and large SVG (SVGmag 108.3 ± 22.6 mVms; SAIQRST 203.4 ± 39.1 mVms) and a 60% probability of being in intermediate Class 2. Conclusion: A substantial proportion (17%) in the Hispanic/Latino population had an increased probability of altered, likely abnormal GEH profile, whereas 83% of the population was resilient to harmful risk factors exposures.

Indexed as

Cardiovascular riskECGElectrophysiologyHispanic or Latino ethnicityLatent class analysisVectorcardiogram

Identifiers

PMID39318685
PMCPMC11417492

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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.