Evidence map›Paper›PMID 39023484›Full record

ArticleJACC. Clinical electrophysiology2024

Novel Sleep Phenotypic Profiles Associated With Incident Atrial Fibrillation in a Large Clinical Cohort.

Catherine M Heinzinger, Brittany Lapin, Nicolas R Thompson, Yadi Li, Alex Milinovich, Anna M May, Cinthya Pena Orbea, Michael Faulx, David R Van Wagoner, Mina K Chung and 2 more

Abstract read
In one paragraph

Article in JACC. Clinical electrophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Multidiagnostic chest-worn patch to detect obstructive sleep apnea and cardiac arrhythmias.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  5. Sleep-Disordered Breathing and Cardiac Arrhythmias.Journal of clinical medicine · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Catherine M HeinzingerSleep Disorders Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Brittany LapinDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic, Cleveland, Ohio, USA.
Nicolas R ThompsonDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic, Cleveland, Ohio, USA.
Yadi LiDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic, Cleveland, Ohio, USA.
Alex MilinovichDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.
Anna M MayGeriatric Research Education and Clinical Center, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA.
Cinthya Pena OrbeaSleep Disorders Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Michael FaulxHeart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
David R Van WagonerLerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Mina K ChungHeart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA; Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Nancy Foldvary-SchaeferSleep Disorders Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Reena MehraDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA. Electronic address: mehrar@medicine.washingon.edu.

Funding

Project 3 Genes to Omics-Informed Drugs: Drug Repositioning and Testing to Prevent AF ProgressionsP01HL158502 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI Robert Alden Koeth · 2022 to 2026
$16.9M
Supporting Multidisciplinary Achievement in Respiratory Research Training (SMARRT)T32HL155005 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI Raed A. Dweik · 2021 to 2026
$1.9M
NHLBI NIH HHS P01 HL158502NHLBI NIH HHS T32 HL155005
6 · The paper itself

Abstract

backgroundWhile sleep disorders are implicated in atrial fibrillation (AF), the interplay of physiologic alterations and symptoms remains unclear. Sleep-based phenotypes can account for this complexity and translate to actionable approaches to identify at-risk patients and therapeutic interventions.

objectivesThis study hypothesized discrete phenotypes of symptoms and polysomnography (PSG)-based data differ in relation to incident AF.

methodsData from the STARLIT (sleep Signals, Testing, And Reports LInked to patient Traits) registry on Cleveland Clinic patients (≥18 years of age) who underwent PSG from November 27, 2004, to December 30,2015, were retrospectively examined. Phenotypes were identified using latent class analysis of symptoms and PSG-based measures of sleep-disordered breathing and sleep architecture. Phenotypes were included as the primary predictor in a multivariable-adjusted Cox proportional hazard models for incident AF.

resultsIn our cohort (N = 43,433, age 51.8 ± 14.5 years, 51.9% male, 74.9% White), 7.3% (n = 3,166) had baseline AF. Over a 7.6- ± 3.4-year follow-up period, 8.9% (n = 3,595) developed incident AF. Five phenotypes were identified. The hypoxia subtype (n = 3,245) had 48% increased incident AF (HR: 1.48; 95% CI: 1.34-1.64), the apneas + arousals subtype (n = 4,592) had 22% increased incident AF (HR: 1.22; 95% CI: 1.10-1.35), and the short sleep + nonrapid eye movement subtype (n = 6,126) had 11% increased incident AF (HR: 1.11; 95% CI: 1.01-1.22) compared with long sleep + rapid eye movement (n = 26,809), the reference group. The hypopneas subtype (n = 2,661) did not differ from reference (HR: 0.89; 95% CI: 0.77-1.03).

conclusionsConsistent with prior evidence supporting hypoxia as an AF driver and cardiac risk of the sleepy phenotype, this constellation of symptoms and physiologic alterations illustrates vulnerability for AF development, providing potential value in enhancing our understanding of integrated sleep-specific symptoms and physiologic risk of atrial arrhythmogenesis.

Indexed as

Atrial FibrillationPhenotypePolysomnographySleep Apnea SyndromesAdultAgedFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsSleepcardiac arrhythmiascluster analysishypoxiasleep apneasleepiness

Identifiers

PMID39023484
PMCPMC11744730

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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.