Evidence map›Paper›PMID 38183805›Full record

Observational studySleep medicine2024

Heterogeneity of obstructive sleep apnea phenotypes after ischemic stroke: Outcome variation by cluster analysis.

S P Khot, L D Lisabeth, M Kwicklis, R D Chervin, E Case, S G Schütz, D L Brown

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Sleep medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

S P KhotDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA. Electronic address: skhot@uw.edu.
L D LisabethDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
M KwicklisDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
R D ChervinDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA; Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
E CaseDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
S G SchützDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA; Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
D L BrownDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · USUniversity of Washington · US

Funding

STROKE SURVEILLANCE IN A BIETHNIC COMMUNITYR01NS038916 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LISABETH, LYNDA D, MORGENSTERN, LEWIS B · 1999 to 2023
$20.9M
Sleep apnea after stroke: Implications for screening and treatmentR01HL126700 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2016 to 2019
$3.0M
Sleep apnea health disparities in Mexican American stroke patientsR01NS070941 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2011 to 2015
$2.6M
Nocturnal Rostral Fluid Shifts In Stroke Patients With Sleep ApneaR01HL123379 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2015 to 2018
$1.5M
The epidemiology of sleep apnea in a bi-ethnic stroke populationR01HL098065 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2010 to 2013
$1.5M
NHLBI NIH HHS R01 HL098065NHLBI NIH HHS R01 HL123379NHLBI NIH HHS R01 HL126700NINDS NIH HHS R01 NS038916NINDS NIH HHS R01 NS070941
6 · The paper itself

Abstract

introductionObstructive sleep apnea (OSA) is common but under-recognized after stroke. The aim of this study was to determine whether post-stroke phenotypic OSA subtypes are associated with stroke outcome in a population-based observational cohort.

methodsIschemic stroke patients (n = 804) diagnosed with OSA (respiratory event index ≥10) soon after ischemic stroke were identified from the Brain Attack Surveillance in Corpus Christi (BASIC) project. Functional, cognitive, and quality of life outcomes were assessed at 90 days post-stroke and long-term stroke recurrence was ascertained. Latent profile analysis was performed based on demographic and clinical features, pre-stroke sleep characteristics, OSA severity, and vascular risk factors. Regression models were used to assess the association between phenotypic clusters and outcomes.

resultsFour distinct phenotypic clusters provided the best fit. Cluster 1 was characterized by more severe stroke; cluster 2 by severe OSA and higher prevalence of medical comorbidities; cluster 3 by mild stroke and mild OSA; and cluster 4 by moderate OSA and mild stroke. Compared to cluster 3 and after adjustment for baseline stroke severity, cluster 1 and cluster 2 had worse 90-day functional outcome and cluster 1 also had worse quality of life. No difference in cognitive outcome or stroke recurrence rate was noted by cluster.

conclusionPost-stroke OSA is a heterogeneous disorder with different clinical phenotypes associated with stroke outcomes, including both daily function and quality of life. The unique presentations of OSA after stroke may have important implications for stroke prognosis and personalized treatment strategies.

Indexed as

Ischemic StrokeSleep Apnea, ObstructiveStrokeCluster AnalysisHumansPhenotypeQuality of LifeCluster analysisIschemic strokeLatent profile analysisObstructive sleep apneaSleepiness

Identifiers

PMID38183805
PMCPMC10872508
OpenAlexW4390483175

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.