Evidence map›Paper›PMID 39636328›Full record

ArticleSleep & breathing = Schlaf & Atmung2024

Development and validation of a predictive model (CHASE-OSA) for preoperative assessment of moderate-to-severe pediatric obstructive sleep apnea.

Kantarakorn Unchiti, Artid Samerchua, Tanyong Pipanmekaporn, Prangmalee Leurcharusmee, Nuntigar Sonsuwan, Phichayut Phinyo, Jayanton Patumanond

Abstract readValidation Study
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2024. 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

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

1 citing paper in PubMed.

  1. Article
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.

Kantarakorn UnchitiDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0003-1586-1412
Artid SamerchuaDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. artidsamerchua@gmail.com.ORCID 0000-0003-2556-5422
Tanyong PipanmekapornDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0001-7154-5671
Prangmalee LeurcharusmeeDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-3934-9002
Nuntigar SonsuwanDepartment of Otolaryngology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-5354-1009
Phichayut PhinyoCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-8543-6254
Jayanton PatumanondCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0001-8977-2995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUndetected obstructive sleep apnea (OSA) in children increases the likelihood of perioperative respiratory complications. Current screening tools for OSA often lack sensitivity or are overly complex. This study aimed to develop and validate a simplified preoperative predictive model for moderate-to-severe pediatric OSA.

methodsThe study included children aged 1 to 18 years who underwent either polysomnography or nocturnal pulse oximetry from January 2013 to December 2020. OSA severity was categorized using these tests, and potential predictors were identified using multivariable logistic regression. The outcomes of the tests were used to create a risk-based scoring system. Internal validation was performed using bootstrapping procedures.

resultsOut of the 1,327 participants, 882 individuals (66.5%) were diagnosed with moderate-to-severe OSA. Predictors considered for developing the scoring system included Craniofacial abnormalities, adenotonsillar Hypertrophy, Age 1-5 years, Snoring > 5 nights/week, Excessive daytime sleepiness, Obesity, Stopping breathing, and Awakening during sleep (CHASE-OSA). The scoring system developed demonstrated an area under the receiver operating characteristic curve of 0.85 (95% CI: 0.83-0.88). The CHASE-OSA score, ranging from 0 to 14, classified scores < 6 as low-risk and ≥ 6 as high-risk for moderate-to-severe pediatric OSA. This cutoff demonstrated a sensitivity of 86%, specificity of 70%, and positive and negative predictive values of 85% and 71%, respectively.

conclusionThe CHASE-OSA predictive model provides a concise and user-friendly preoperative screening tool for identifying moderate-to-severe pediatric OSA. It facilitates risk assessment, enhances perioperative care optimization, and informs postoperative management planning. Further research is needed to comprehensively validate its clinical utility.

Indexed as

PolysomnographySleep Apnea, ObstructiveAdolescentChildChild, PreschoolFemaleHumansInfantMaleOximetryPredictive Value of TestsPreoperative CareRisk AssessmentSeverity of Illness IndexAnesthesiaObstructivePediatricsPolysomnographySleep apnea

Identifiers

PMID39636328
PMCPMC11621130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.