We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Clinical risk assessment model for pediatric obstructive sleep apnea.
- Authors
Kang, Kun‐Tai; Weng, Wen‐Chin; Lee, Chia‐Hsuan; Hsiao, Tzu‐Yu; Lee, Pei‐Lin; Hsu, Wei‐Chung
- Abstract
<bold>Objectives/hypothesis: </bold>To develop a clinical risk prediction model that identifies children with obstructive sleep apnea (OSA) in a clinical setting by examining the symptoms, physical status, and OSA-18 questionnaire results.<bold>Design: </bold>Single institutional, cross-sectional study.<bold>Methods: </bold>Children aged 2 to 18 years with symptoms of OSA were enrolled. Pediatric OSA was diagnosed through full-night polysomnography. Clinical data, namely demographics, symptoms, OSA-18 survey results, tonsil and adenoid sizes, and the weight of each child, were examined for constructing a simple point-based clinical model for OSA prediction. Variables for the risk model were selected using multivariable logistic regression analyses.<bold>Results: </bold>Of the 310 participants (mean age, 7.6 ± 3.7 years; boys, 67%), 170 (55%) experienced OSA. Modeling variables were determined using several univariate logistic regression analyses, followed by multivariable logistic regression analyses. A point-based clinical model incorporating the age, tonsil size (5 points maximum), adenoid size (5 and 20 points for age > 6 years and < 6 years, respectively), obesity (5 points for age > 6 years), and breathing pauses (5 points) was developed (area under the curve = 0.832). Moreover, the optimal cutoff points for predicting the apnea-hypopnea index of > 1 and > 5 were 10 (sensitivity, 72.9%; specificity, 65.0%) and 12 (sensitivity, 77.5%; specificity, 56.9%), respectively. Internal validation using the bootstrap method revealed no apparent overfitting problem.<bold>Conclusion: </bold>A novel clinical prediction model was developed for determining the risk of pediatric OSA; the model can be useful in identifying high-risk patients among those with sleep disturbances.<bold>Level Of Evidence: </bold>4. Laryngoscope, 126:2403-2409, 2016.
- Subjects
SLEEP apnea syndromes in children; HEALTH risk assessment; SYMPTOMS; QUESTIONNAIRES; CROSS-sectional method; POLYSOMNOGRAPHY; SLEEP apnea syndromes; ADENOIDS; ANTHROPOMETRY; BODY weight; COMPARATIVE studies; RESEARCH methodology; MEDICAL cooperation; REFERENCE values; RESEARCH; RISK assessment; TONSILS; LOGISTIC regression analysis; EVALUATION research; DIAGNOSIS
- Publication
Laryngoscope, 2016, Vol 126, Issue 10, p2403
- ISSN
0023-852X
- Publication type
journal article
- DOI
10.1002/lary.25912