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Predictive Value of Neck-to-Height Ratio in Children with Moderate/Severe Obstructive Sleep Apnea: A Retrospective
Tianxu Liu1, Xiaoyi Wang2, Wen Hu3
1Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, People's Republic of China.
Insights
The neck-to-height ratio (NHR) shows promise as a simple screening tool for moderate/severe obstructive sleep apnea (OSA) in children over 10. NHR outperformed other measurements in predicting OSA, offering a more convenient diagnostic indicator.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
- Biometrics
Background:
- Obstructive Sleep Apnea (OSA) is a prevalent condition in children, potentially causing significant health issues like growth restriction and neurocognitive impairment.
- Current diagnostic methods like polysomnography (PSG) have limitations for widespread screening.
- Existing screening tools lack sufficient accuracy and compliance, highlighting the need for simpler, reliable alternatives.
Purpose of the Study:
- To systematically compare the predictive efficacy of neck-to-height ratio (NHR), waist-to-height ratio (WHtR), hip-to-height ratio (HHR), and BMI Z-score for identifying moderate/severe pediatric OSA.
- To identify more accurate and convenient indicators for clinical screening of pediatric OSA.
Main Methods:
- Retrospective analysis of data from 685 children aged 3-16 years who underwent PSG.
- Receiver operating characteristic (ROC) analysis was employed to evaluate the discriminatory ability of NHR, WHtR, HHR, and BMI Z-score.
- Analysis considered covariates such as age, gender, tonsil size, and adenoid size, with subgroup analyses performed.
Main Results:
- NHR exhibited the highest predictive efficacy in the overall cohort (AUC=0.781), surpassing other tested indices.
- In children over 10 years, NHR maintained strong predictive performance, with AUCs of 0.777 for boys and 0.913 for girls.
- NHR demonstrated superior predictive value compared to WHtR, HHR, and BMI Z-score.
Conclusions:
- NHR can serve as a valuable adjunctive screening tool for moderate/severe OSA in children over 10 years old.
- The study suggests NHR offers moderate predictive value and outperforms traditional anthropometric indices for pediatric OSA screening.
- NHR presents a promising, convenient alternative for early identification of OSA in pediatric populations.
Objective:
Obstructive Sleep Apnea (OSA) is a common sleep-disordered breathing condition in children. Moderate/severe OSA can lead to a series of complications, including growth restriction and neurocognitive impairment, severely impacting children's physical and mental health. The gold standard for diagnosing OSA is polysomnography (PSG). Given the limitations of PSG in large-scale screening and the insufficient accuracy and compliance of existing screening tools, exploring simple and reliable screening tools for moderate/severe OSA holds significant clinical importance. This study aims to systematically compare the predictive efficacy of neck-to-height ratio (NHR), waist-to-height ratio (WHtR), hip-to-height ratio (HHR), and BMI Z-score for moderate/severe pediatric OSA, providing more accurate and convenient indicators for clinical screening.
Methods:
We retrospectively analyzed data from 685 children aged 3-16 years who underwent PSG. Using age, gender, tonsil size, and adenoid size as covariates, receiver operating characteristic (ROC) analysis was used to assess the discriminatory ability of NHR, WHtR, HHR, and BMI Z-score in the overall cohort and within age and gender subgroups.
Results:
NHR demonstrated the highest predictive efficacy in the overall cohort (AUC=0.781), significantly outperforming other indices. Subgroup analysis revealed that NHR maintained excellent predictive performance in children above 10 years, with AUC values of 0.777 in boys and 0.913 in girls.
Conclusion:
The NHR may serve as a useful adjunctive screening tool for moderate/severe OSA in children above 10 years, showing moderate predictive value and outperforming traditional indices such as WHtR, HHR, and BMI Z-score.
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