Evidence map›Paper›PMID 39258553›Full record

ArticleJournal of the American Heart Association2024

Adverse Cardiovascular Effects of Nicotine Delivered by Chronic Electronic Cigarettes or Standard Cigarettes Captured by Cardiovascular Intrinsic Frequencies.

Rashid Alavi, Wangde Dai, Sohrab P Mazandarani, Rebecca J Arechavala, David A Herman, Michael T Kleinman, Robert A Kloner, Niema M Pahlevan

Abstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 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.

  1. Article
  2. Observational
  3. Assessment of Myocardial Injury Size Metrics Using Carotid Pressure Waveform: Proof-of-Concept in Coronary Occlusion/Reperfusion Rat Model.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

8 authors.

Rashid AlaviDepartment of Aerospace and Mechanical Engineering University of Southern California Los Angeles CA.ORCID 0000-0003-1179-7089
Wangde DaiDivision of Cardiovascular Medicine, Keck School of Medicine University of Southern California Los Angeles CA.
Sohrab P MazandaraniDivision of Cardiovascular Medicine, Keck School of Medicine University of Southern California Los Angeles CA.
Rebecca J ArechavalaDepartment of Environmental and Occupational Health, College of Health Sciences University of California Irvine CA.ORCID 0000-0002-9799-2610
David A HermanDepartment of Environmental and Occupational Health, College of Health Sciences University of California Irvine CA.ORCID 0000-0002-4381-4114
Michael T KleinmanDepartment of Environmental and Occupational Health, College of Health Sciences University of California Irvine CA.
Robert A KlonerDivision of Cardiovascular Medicine, Keck School of Medicine University of Southern California Los Angeles CA.ORCID 0000-0002-6258-0544
Niema M PahlevanDepartment of Aerospace and Mechanical Engineering University of Southern California Los Angeles CA.ORCID 0000-0001-7498-0396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic cigarettes have gained popularity as a nicotine delivery system, which has been recommended by some as an aid to help people quit traditional smoking. The potential long-term effects of vaping on the cardiovascular system, as well as how their effects compare with those from standard cigarettes, are not well understood. The intrinsic frequency (IF) method is a systems approach for analysis of left ventricle and arterial function. Recent clinical studies have demonstrated the diagnostic and prognostic value of IF. Here, we aim to determine whether the novel IF metrics derived from carotid pressure waveforms can detect effects of nicotine (delivered by chronic exposure to electronic cigarette vapor or traditional cigarette smoke) on the cardiovascular system. METHODS AND

resultsOne hundred seventeen healthy adult male and female rats were exposed to purified air (control), electronic cigarette vapor without nicotine, electronic cigarette vapor with nicotine, and traditional nicotine-rich cigarette smoke, after which hemodynamics were comprehensively evaluated. IF metrics were computed from invasive carotid pressure waveforms. Standard cigarettes significantly increased the first IF (indicating left ventricle contractile dysfunction). Electronic cigarettes with nicotine significantly reduced the second IF (indicating adverse effects on vascular function). No significant difference was seen in the IF metrics between controls and electronic cigarettes without nicotine. Exposure to electronic cigarettes with nicotine significantly increased the total IF variation (suggesting adverse effects on left ventricle-arterial coupling and its optimal state), when compared with electronic cigarettes without nicotine.

conclusionsOur IF results suggest that nicotine-containing electronic cigarettes adversely affect vascular function and left ventricle-arterial coupling, whereas standard cigarettes have an adverse effect on left ventricle function.

Indexed as

Electronic Nicotine Delivery SystemsNicotineAnimalsE-Cigarette VaporFemaleHemodynamicsMaleNicotinic AgonistsRatsRats, Sprague-DawleyTobacco ProductsVapingVentricular Function, LeftE-Cigarette VaporNicotineNicotinic Agonistsarterial pressure waveformcardiovascular intrinsic frequencycombustion cigarette smokingelectronic cigarettenicotine

Identifiers

PMID39258553
PMCPMC11935601

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.