Evidence map›Paper›PMID 26857052›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2016

Predicting CPAP Use and Treatment Outcomes Using Composite Indices of Sleep Apnea Severity.

Karthik Balakrishnan, Kathryn T James, Edward M Weaver

Abstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2016. 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. Symptoms During CPAP Therapy Are the Major Reason for Contacting the Sleep Unit Between Two Routine Contacts.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019
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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

3 authors.

Karthik BalakrishnanDepartment of Otorhinolaryngology - Head and Neck Surgery, Mayo Clinic School of Medicine, Rochester, MN.
Kathryn T JamesDepartment of Otolaryngology - Head & Neck Surgery, University of Washington, Seattle, WA.
Edward M WeaverDepartment of Otolaryngology - Head & Neck Surgery, University of Washington, Seattle, WA.

Funding

Research Training in OtolaryngologyT32DC000018 · NIDCD · UNIVERSITY OF WASHINGTON · PI STONE, JENNIFER S. · 1989 to 2023
$7.8M
Nasal Turbinate Reduction & CPAP Outcomes for Sleep Apnea: A Sham-Controlled RCTR01HL084139 · NHLBI · UNIVERSITY OF WASHINGTON · PI WEAVER, EDWARD M · 2007 to 2011
$3.0M
Nasal Obstruction and Sleep Apnea Treatment OutcomesK23HL068849 · NHLBI · UNIVERSITY OF WASHINGTON · PI WEAVER, EDWARD M · 2003 to 2007
$764k
NHLBI NIH HHS K23 HL068849NHLBI NIH HHS R01 HL084139
6 · The paper itself

Abstract

STUDY

objectivesMeasures of baseline sleep apnea disease burden (apnea-hypopnea index, Epworth Sleepiness Scale) predict continuous positive airway pressure (CPAP) adherence, but composite indices of sleep apnea severity (Sleep Apnea Severity Index, Modified Sleep Apnea Severity Index) may be more robust measures of disease burden. We tested the relative prognostic ability of each measure of sleep apnea disease burden to predict subsequent CPAP adherence and subjective sleep outcomes.

methodsProspective cohort study at a tertiary academic sleep center. Patients (n = 323) underwent initial diagnostic polysomnography for suspected obstructive sleep apnea and 6 mo of subsequent CPAP therapy.

resultsBaseline apnea-hypopnea index and both composite indices predicted adherence to CPAP therapy at 6 mo in multivariate analyses (all p ≤ 0.001). Baseline Epworth Sleepiness Scale did not predict CPAP adherence (p = 0.22). Both composite indices were statistically stronger predictors of CPAP adherence at 6 mo than apnea-hypopnea index (p < 0.001). In multivariate analyses, baseline apnea-hypopnea index (p < 0.05) and both composite indices (both p < 0.04) predicted change in Pittsburgh Sleep Quality Index, whereas only the composite indices predicted changes in Sleep Apnea Quality of Life Index (both p < 0.001). Adjustment for treatment adherence did not affect the relationship of the composite indices with change in Sleep Apnea Quality of Life Index (both p ≤ 0.005).

conclusionsComposite indices of baseline sleep apnea severity better predict objective CPAP adherence and subjective treatment outcomes than baseline apnea-hypopnea index and baseline Epworth Sleepiness Scale.

Indexed as

Cost of IllnessCohort StudiesContinuous Positive Airway PressureFemaleHumansMaleMiddle AgedPatient CompliancePolysomnographyProspective StudiesSeverity of Illness IndexSleep Apnea, ObstructiveTreatment Outcomecohort studiesillness burdenobstructive sleep apneapatient adherenceprospective studies

Identifiers

PMID26857052
PMCPMC4877317

What OpenQuestion holds

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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.