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Published on: December 6, 2016
A simple diagnostic scale based on the analysis and screening of clinical parameters in paediatric obstructive sleep
1Department of Otolaryngology,General Hospital of Shenyang Military Area Command,Shenyang,China.
Insights
A new diagnostic scale effectively identifies paediatric obstructive sleep apnoea hypopnea syndrome in children. This method offers a simpler alternative when polysomnography is unavailable for diagnosis.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
- Diagnostic Tools
Background:
- Paediatric obstructive sleep apnoea hypopnea syndrome (PAHPS) diagnosis can be challenging.
- Polysomnography (PSG) is the gold standard but is not always accessible.
Purpose of the Study:
- To develop a simple and accurate diagnostic method for PAHPS.
- To establish a diagnostic scale based on clinical parameters.
Main Methods:
- 311 children with suspected PAHPS were analyzed.
- Clinical parameters (snoring, tonsil size, etc.) were correlated with PSG results.
- A diagnostic scale was created using regression analysis.
Main Results:
- The diagnostic scale showed a 77.8% correlation with PSG results.
- Snoring, tonsil size, and adenoid-nasopharynx ratio were significant predictors.
- The scale is useful for diagnosis but not severity assessment.
Conclusions:
- A novel diagnostic scale aids in PAHPS diagnosis when PSG is not feasible.
- This scale provides a practical clinical tool for identifying PAHPS in children.
- The scale's limitations include its unsuitability for assessing disease severity.
Objective:
This study aimed to develop a simple and accurate method to diagnose paediatric obstructive sleep apnoea hypopnea syndrome.
Methods:
A total of 311 children with suspected paediatric obstructive sleep apnoea hypopnea syndrome were included in the study. Multiple clinical parameters, including sex, age, body mass index, history of snoring or gasping, history of nasal obstruction, history of running nose, palatine tonsil size, adenoid to nasopharynx ratio, and tympanogram type, were compared with polysomnography results using relevant correlation and regression analyses. A diagnostic scale was established using the regression equation and the correlation between the polysomnography result and scale result was determined.
Results:
The apnoea-hypopnea index correlated significantly with a history of snoring or gasping, palatine tonsil size, and tympanogram type. Stepwise logistic regression analysis revealed that the polysomnography result correlated significantly with a history of snoring or gasping, palatine tonsil size, and the adenoid to nasopharynx ratio. The percentage correlation between the scale and polysomnography results was 77.8 per cent.
Conclusion:
The diagnostic scale can be used to diagnose paediatric obstructive sleep apnoea hypopnea syndrome for clinical application when polysomnography cannot be performed. However, it is not suitable for assessing the severity of paediatric obstructive sleep apnoea hypopnea syndrome.
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