Evidence map›Paper›PMID 29353391›Full record

ArticleSleep & breathing = Schlaf & Atmung2018

Detection of sleep-disordered breathing with ambulatory Holter monitoring.

Ian Grasso, Mark Haigney, David Mortara, Jacob F Collen, Jordanna Hostler, Aimee Moores, Karen Sheikh, William Kelly

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
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 at 5 institutions in 1 country.

Ian GrassoDivision of Pulmonary, Critical Care, and Sleep Medicine, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USA.
Mark HaigneyDivision of Cardiology, WRNMMC, Bethesda, MD, USA.
David MortaraDepartment of Nursing, University of California, San Francisco, CA, USA.
Jacob F CollenDivision of Pulmonary, Critical Care, and Sleep Medicine, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USA. jacob.f.collen.mil@mail.mil.ORCID http://orcid.org/0000-0002-8064-6391
Jordanna HostlerDivision of Pulmonary, Critical Care, and Sleep Medicine, Tripler Army Medical Center, Honolulu, HI, USA.
Aimee MooresDepartment of Medicine, Madigan Army Medical Center, Tacoma, WA, USA.
Karen SheikhDivision of Pulmonary, Critical Care, and Sleep Medicine, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USA.
William KellyDivision of Pulmonary, Critical Care, and Sleep Medicine, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USA.
Walter Reed National Military Medical Center · USUniformed Services University of the Health Sciences · USMadigan Army Medical Center · USTripler Army Medical Center · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObstructive sleep apnea (OSA) syndrome is a common condition that can impact clinical outcomes among patients with cardiovascular disease. Screening all subjects with heart disease via polysomnography (PSG) is costly and resource-limited. We sought to compare a Holter monitor-based algorithm to detect OSA to in-laboratory polysomnography (PSG).

methodsProspective cohort study of patients undergoing in-laboratory attended PSG for the evaluation of OSA. A standard 12-lead Holter monitor was attached to patients at the initiation of PSG. Holter-derived respiratory disturbance index (HDRDI) was extracted from the respiratory myogram, based on detecting skeletal muscle "noise" detected on the baseline. Apneic and hypopneic episodes were identified by comparing sudden changes in the myogram to abrupt increases in heart rate. The HDRDI was compared with the PSG-derived apnea-hypopnea index (PDAHI).

resultsThirty patients underwent simultaneous Holter monitoring and overnight diagnostic PSG. An ROC curve for peak HDRDI was 0.79 (95% CI 0.61, 0.97) for OSA, with sensitivity of 94.4% and specificity of 54.5%. A cutoff value of HDRDI < 10 appeared to identify those individuals without clinically significant sleep-disordered breathing.

conclusionHolter-derived respiration detected OSA comparable to PSG. Further study is warranted to determine its utility for screening and diagnosing OSA in appropriately selected patients.

Indexed as

AlgorithmsCohort StudiesElectrocardiography, AmbulatoryEquipment DesignHumansMonitoring, AmbulatoryPolysomnographyProspective StudiesSensitivity and SpecificitySleep Apnea, ObstructiveHolter monitorHome sleep testObstructive sleep apneaPortable monitorSleep apnea

Identifiers

PMID29353391
OpenAlexW2785258302

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.