Evidence map›Paper›PMID 29958805›Full record

ArticleHeart rhythm2018

Sleep characteristics that predict atrial fibrillation.

Matthew A Christensen, Shalini Dixit, Thomas A Dewland, Isaac R Whitman, Gregory Nah, Eric Vittinghoff, Kenneth J Mukamal, Susan Redline, John A Robbins, Anne B Newman and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Heart rhythm, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
–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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Trial
  5. Article
  6. Review
  7. Effect of anticholinergic burden on cardiac functions in older patients.Zeitschrift fur Gerontologie und Geriatrie · 2026
    Article
  8. Observational
  9. Review
  10. Article
  11. Article
  12. Review
  13. The association between sleep fragmentation and incident atrial fibrillation: a prospective cohort study in a community population.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  14. Influence of sleep architectural disruptions on the evolution of atrial fibrillation.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Sleep-Disordered Breathing and Cardiac Arrhythmias.Journal of clinical medicine · 2024
    Review
  19. Observational
  20. Review
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

17 authors.

Matthew A ChristensenElectrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California; Department of Internal Medicine, University of Utah Medical School, Salt Lake City, Utah.
Shalini DixitElectrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California.
Thomas A DewlandKnight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon.
Isaac R WhitmanElectrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California.
Gregory NahElectrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California.
Eric VittinghoffDepartment of Epidemiology and Biostatistics University of California, San Francisco, California.
Kenneth J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Susan RedlineDivision of Cardiovascular Medicine and Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
John A RobbinsDepartment of Medicine, University of California, Davis, Sacramento, California.
Anne B NewmanDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Sanjay R PatelDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jared W MagnaniDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, Washington.
Jeffrey E OlginElectrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California.
Mark J PletcherDepartment of Epidemiology and Biostatistics University of California, San Francisco, California.
Susan R HeckbertDepartment of Epidemiology, University of Washington, Seattle, Washington.
Gregory M MarcusElectrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California. Electronic address: marcusg@medicine.ucsf.edu.

Funding

The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Role of EIIIA fibronectin in pulmonary fibrosisR01HL085083 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2007 to 2011
$1.9M
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085083 · HC · UNIVERSITY OF CALIFORNIA DAVIS · PI ROBBINS, JOHN A · 1988 to 1999
–
CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
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CENTRAL BLOOD ANALYSIS LABORATORY FOR CHSN01HC085086 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1988 to 2000
–
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65 TO 84N01HC085079 · HC · UNIVERSITY OF WASHINGTON · 1988 to 2005
–
CORONARY HEART DISEASE &STROKE IN THE ELDERLYN01HC085080 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1988 to 2000
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CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085081 · HC · JOHNS HOPKINS UNIVERSITY · PI FRIED, LINDA P · 1988 to 2000
–
CORONARY HEART DISEASE AND STROKE IN PEOPLE AGED 65-84N01HC085082 · HC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KULLER, LEWIS H · 1988 to 2000
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NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIBIB NIH HHS U2C EB021881
6 · The paper itself

Abstract

backgroundThe relationship between sleep disruption, independent of obstructive sleep apnea (OSA), and atrial fibrillation (AF) is unknown.

objectiveThe purpose of this study was to determine whether poor sleep itself is a risk factor for AF.

methodsWe first performed an analysis of participants in the Health eHeart Study and validated those findings in the longitudinal Cardiovascular Health Study, including a subset of patients undergoing polysomnography. To determine whether the observed relationships readily translated to medical practice, we examined 2005-2009 data from the California Healthcare Cost and Utilization Project.

resultsAmong 4553 Health eHeart participants, the 526 with AF exhibited more frequent nighttime awakening (odd ratio [OR] 1.47; 95% confidence interval [CI] 1.14-1.89; P = .003). In 5703 Cardiovascular Health Study participants followed for a median 11.6 years, frequent nighttime awakening predicted a 33% greater risk of AF (hazard ratio [HR] 1.33; 95% CI 1.17-1.51; P <.001). In patients with polysomnography (N = 1127), every standard deviation percentage decrease in rapid eye movement (REM) sleep was associated with a 18% higher risk of developing AF (HR 1.18; 95% CI 1.00-1.38; P = .047). Among 14,330,651 California residents followed for a median 3.9 years, an insomnia diagnosis predicted a 36% increased risk of new AF (HR 1.36; 95% CI 1.30-1.42; P <.001).

conclusionSleep disruption consistently predicted AF before and after adjustment for OSA and other potential confounders across several different populations. Sleep quality itself may be important in the pathogenesis of AF, potentially representing a novel target for prevention.

Indexed as

AgedAtrial FibrillationElectrocardiographyFemaleFollow-Up StudiesHealth SurveysHumansIncidenceMaleMiddle AgedOdds RatioPolysomnographyPrognosisRetrospective StudiesRisk FactorsSeverity of Illness IndexAtrial fibrillationInsomniaObstructive sleep apneaRapid eye movement (REM) sleep

Identifiers

PMID29958805
PMCPMC6448388

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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.