Evidence map›Paper›PMID 39730843›Full record

ArticleScientific reports2024

Smoking-associated electrocardiographic abnormalities predict cardiovascular mortality.

Affan Irfan, Daniel W Riggs, George A Koromia, Hong Gao, Andrew Paul DeFilippis, Elsayed Z Soliman, Aruni Bhatnagar, Alex P Carll

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Affan IrfanDepartment of Cardiology, Mayo Clinic, Rochester, MN, USA.
Daniel W RiggsChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, USA.
George A KoromiaDepartment of Cardiology Services, Department of Clinical & Translational Sciences, Marshall University, Huntington, WV, USA.
Hong GaoChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, USA.
Andrew Paul DeFilippisChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, USA.
Elsayed Z SolimanEpidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston Salem, NC, USA.
Aruni BhatnagarChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, USA.
Alex P CarllDepartment of Physiology, School of Medicine, University of Louisville, Louisville, KY, USA. Alex.Carll@louisville.edu.

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI SRIVASTAVA, SANJAY · 2013 to 2017
$20.1M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
TBDP30GM127607 · NIGMS · UNIVERSITY OF LOUISVILLE · PI BHATNAGAR, ARUNI · 2018 to 2022
$6.3M
Systematic identification of cardiotoxic e-cigarette flavorantsR01HL163818 · NHLBI · UNIVERSITY OF LOUISVILLE · PI Alex Perrow Carll, Matthew A Nystoriak · 2022 to 2026
$3.8M
The Role of E-cigarette Characteristics and Constituents in Cardiac Dysfunction--Diversity SupplementR01HL147343 · NHLBI · UNIVERSITY OF LOUISVILLE · PI CARLL, ALEX PERROW · 2019 to 2021
$1.6M
NHLBI NIH HHS P50 HL120163NHLBI NIH HHS R01 HL147343NHLBI NIH HHS R01 HL163818NHLBI NIH HHS R01HL163818NHLBI NIH HHS U54 HL120163NHLBI NIH HHS U54HL120163NIEHS NIH HHS P30 ES030283NIEHS NIH HHS P30ES030283NIGMS NIH HHS P30 GM127607NIGMS NIH HHS P30GM127607
6 · The paper itself

Abstract

Background -Smoking is associated with arrhythmia and sudden cardiac death, but the biological mechanisms remain unclear. In electrocardiogram (ECG) recordings abnormal durations of ventricular repolarization (QT interval), atrial depolarization (P wave), and atrioventricular depolarization (PR interval and segment), predict cardiac arrhythmia and mortality. Previous analyses of the National Health and Nutrition Examination Survey (NHANES) database for associations between smoking and ECG abnormalities were incomplete. To elucidate how smoking affects cardiac excitation, we assessed in a nationally representative sample (NHANES III) the association between serum cotinine and P duration, PR interval, PR segment, rate-corrected QT (QTc), QRS duration, and JT interval. Methods and Results-We analyzed data from 5,653 adults using survey-weighted multinomial logistic regression to estimate associations between tobacco use (> 15 ng/ml serum cotinine) and short (< 5th percentile) or long (> 95th percentile) ECG intervals, relative to reference (5-95th percentile). After adjustment for demographics, risk factors, and conduction-altering medications, smoking was associated with a higher odds of short PR interval, PR segment, and QRS, and long JT. Broader effects of smoking on ECG were also assessed by survey-weighted linear regression of continuous cotinine and ECG, which revealed cotinine inversely associated with PR segment and QTc. Over a 22-year follow-up, many ECG abnormalities predicted cardiovascular mortality in smokers, including long JT, QRS, and QTc, and short QRS, whereas only short JT predicted mortality in nonsmokers. Conclusions -Smoking increases likelihood for rapid atrioventricular and ventricular depolarization and slow ventricular repolarization, which may promote cardiac arrhythmia and mortality.

Indexed as

CotinineElectrocardiographySmokingAdultAgedArrhythmias, CardiacCardiovascular DiseasesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsCotinineCigaretteCotinineElectrocardiographyJT intervalPR intervalPR segmentP waveQRS durationQT intervalSmoking

Identifiers

PMID39730843
PMCPMC11680829

What OpenQuestion holds

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Registered trials

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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.