Evidence map›Paper›PMID 39878749›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2025

Multidiagnostic chest-worn patch to detect obstructive sleep apnea and cardiac arrhythmias.

Cathy Goldstein, Hamid Ghanbari, Surina Sharma, Nancy Collop, Zak Loring, Colleen Walsh, Brennan Torstrick, Emily Herreshoff, Mark Pollock, David S Frankel and 1 more

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Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
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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

11 authors.

Cathy GoldsteinDepartment of Neurology, University of Michigan, Ann Arbor, Michigan.
Hamid GhanbariDivision of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan.
Surina SharmaEmory Sleep Center, Emory University, Atlanta, Georgia.
Nancy CollopEmory Sleep Center, Emory University, Atlanta, Georgia.
Zak LoringDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
Colleen WalshDivision of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Brennan TorstrickHuxley Medical, Inc, Atlanta, Georgia.
Emily HerreshoffDepartment of Neurology, University of Michigan, Ann Arbor, Michigan.
Mark PollockPulmonary & Sleep Specialists, Atlanta, Georgia.
David S FrankelDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Ilene M RosenDivision of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesEvaluate the performance of the SANSA device to simultaneously assess obstructive sleep apnea and cardiac arrhythmias.

methodsParticipants suspected or known to have obstructive sleep apnea underwent polysomnography while wearing SANSA. SANSA's algorithm was trained using 86 records and tested on 67 to evaluate training bias. SANSA performance was evaluated against ground truth polysomnography scored by the consensus of 3 technologists. Polysomnography scoring from individual testing sites was also evaluated against consensus. Diagnostic performance was evaluated using standard apnea-hypopnea index cutoffs. Apnea-hypopnea index and total sleep time agreement was analyzed using correlation and Bland-Altman plots. Electrocardiogram was reviewed for presence of significant arrhythmias (frequent premature atrial/ventricular complexes and atrial fibrillation).

resultsSANSA's sensitivity and specificity to detect obstructive sleep apnea ranged from 91-97% and 78-97%, respectively, across all severity levels. SANSA total sleep time correlation with consensus polysomnography total sleep time was 0.83 with a mean difference of 3.8 minutes (limits of agreement: -91.1 to 98.7). Significant arrhythmias were detected in 32% of participants. These participants had a greater apnea-hypopnea index (27.5 vs 15.8 events/h,

conclusionsSANSA is a promising tool for comprehensive obstructive sleep apnea evaluation, offering the unique advantage of concurrent arrhythmia detection. This dual functionality may improve patient outcomes through early diagnosis and management of both conditions. CITATION: Goldstein C, Ghanbari H, Sharma S, et al. Multidiagnostic chest-worn patch to detect obstructive sleep apnea and cardiac arrhythmias.

Indexed as

Arrhythmias, CardiacSleep Apnea, ObstructiveWearable Electronic DevicesAdultAgedAlgorithmsElectrocardiographyFemaleHumansMaleMiddle AgedPolysomnographySensitivity and Specificityatrial fibrillationcardiac arrhythmiahome sleep apnea testingobstructive sleep apnea

Identifiers

PMID39878749
PMCPMC12048333

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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.