Evidence map›Paper›PMID 40182850›Full record

ArticleFrontiers in medicine2025

Impact of obstructive sleep apnea on inpatient outcomes of COVID-19: a propensity-score matching analysis of the US Nationwide Inpatient Sample 2020.

Wei Du, Hong Xu, Yunqi Chang, Biying Feng, Qiong Wang, Weifeng Li

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Wei Du *Department of Respiratory Medicine, General Hospital of Southern Theater Command, Guangzhou, China.
Hong Xu *Department of Respiratory Medicine, General Hospital of Southern Theater Command, Guangzhou, China.
Yunqi ChangDepartment of Respiratory Medicine, General Hospital of Southern Theater Command, Guangzhou, China.
Biying FengDepartment of Respiratory Medicine, General Hospital of Southern Theater Command, Guangzhou, China.
Qiong WangDepartment of Disease Control and Prevention, General Hospital of Southern Theater Command, Guangzhou, China.
Weifeng LiDepartment of Respiratory Medicine, General Hospital of Southern Theater Command, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obstructive sleep apnea (OSA) is associated with health complications, but its impact on COVID-19 outcomes is not known. This study investigated the association between OSA and outcomes of hospitalized COVID-19 patients. Methods: The Nationwide Inpatient Sample 2020 was searched for adults hospitalized for COVID-19. The outcomes of interest were in-hospital mortality, non-routine discharge, prolonged length of stay (LOS), and complications. Patients with OSA were matched to those without OSA in a 1:4 ratio using propensity score matching (PSM) according to age, sex, and major comorbidities. Results: After PSM, there were 54,900 adult COVID-19 patients consisting of 10,980 with OSA and 43,920 without OSA. The mean age was 63.2 years and 62.8% were male. Patients with OSA had higher odds of respiratory failure (adjusted OR [aOR] = 1.20, 95% confidence interval [CI]: 1.14-1.25), heart failure (aOR = 1.71, 95% CI: 1.60-1.82), and arrhythmias (aOR = 1.18, 95% CI: 1.08-1.30). Conversely, OSA was associated with lower odds of cerebrovascular accidents (CVAs) (aOR = 0.71, 95% CI: 0.62-0.81, Conclusion: OSA is associated with higher risks of respiratory failure, heart failure, and arrhythmias in patients hospitalized for COVID-19. However, patients with OSA who are ≥70 years old and those who are male are less likely to have CVAs and in-hospital mortality. These findings underscore the complex relationship between OSA and COVID-19. As the study focused on hospitalized patients, the findings may not apply to mild or asymptomatic COVID-19 cases. Future research should include community-based cohorts and prospective studies to better understand this association.

Indexed as

COVID-19in-patient outcomemortalityNationwide Inpatient Sample (NIS)obstructive sleep apnea (OSA)respiratory failure

Identifiers

PMID40182850
PMCPMC11965585

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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.