Model for Prediction of Pediatric OSA: Proposal for a Clinical Decision Rule

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Certal, V (Author) Other; Silva, H (Author) Other; Carvalho, C (Author) Other; Costa-Pereira A (Author) FMUP; Inês Azevedo (Author) FMUP; Winck, J (Author) Other; Capasso, R (Author) Other; Camacho, M (Author) Other

Journal

Title: Laryngoscope

Vol. 125 No. 1

Pages: 2823-2827

ISSN: 0023-852X

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 14 Citations

Scopus - 14 Citations

Other information

Authenticus ID: P-00J-Z9G

DOI: 10.1002/lary.25438

Abstract (EN): Objectives/Hypothesis: Obstructive sleep apnea (OSA) is a syndrome frequently diagnosed in children; however, it lacks optimal diagnostic methods. This study aimed to provide a clinical decision rule for predicting pediatric OSA using commonly available clinical information. Study Design: A prospective cohort study. Methods: Children between the ages of 3 to 6 years-old, referred for an otorhinolaryngology consultation due to clinical suspicion of OSA, were recruited from January to June 2014. At baseline age, weight, height, gender, body mass index, Pediatric Sleep Questionnaire (PSQ) scores, tonsil size, and oxygen desaturation index (ODI) were assessed. A logistic regression modeling was used with backward stepwise elimination to develop a prediction model. Results: Sixty-seven children were included with a mean age of 4.51 years. Of the 67 children included in this study, 25 (37.3%) subjects were diagnosed with pediatric OSA. Significant predictors of pediatric OSA in the final model (odds ratio, 95% confidence interval) included PSQ score (5.12; 3.3-6.5), ODI (1.34; 1.0-1.79) and tonsil size (6.7; 3.22-9.75). The final decision rule had a sensitivity of 88% and a specificity of 86%. The area under the receiver operating characteristic curve was 0.897. Conclusion: The proposed clinical decision rule, based on three readily available variables, is a promising discriminating instrument for prediction of OSA among children between 3 and 6 years.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5