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Feasibility of High-Resolution Oximeter Plus Actigraphy Combined with a Cloud-Based Algorithm for the Detection of
Sergio Henrique Kiemle Trindade1,2,3, Fábio Luiz Banhara1, Leide Vilma Fidélis da Silva1
1Sleep Studies Unit, Laboratory of Physiology, Hospital for Rehabilitation of Craniofacial Anomalies, University of São Paulo, Bauru, SP, Brazil.
Insights
High-resolution oximetry and actigraphy effectively detect obstructive sleep apnea (OSA) in children with craniofacial anomalies. This combined approach, using a cloud-based algorithm, shows high feasibility for diagnosing OSA in this vulnerable population.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
- Medical Technology
Background:
- Children with craniofacial anomalies often experience obstructive sleep apnea (OSA).
- Accurate and feasible diagnostic tools are crucial for managing OSA in this population.
- Previous diagnostic methods may have limitations in accessibility or accuracy for pediatric patients with complex conditions.
Purpose of the Study:
- To assess the feasibility and applicability of combining high-resolution oximetry with actigraphy and a cloud-based algorithm for OSA detection.
- To evaluate the diagnostic performance of this integrated system in children with craniofacial anomalies.
- To determine the effectiveness of this technological approach in identifying OSA and its severity.
Main Methods:
- A prospective, cross-sectional study involving 64 children diagnosed with Treacher Collins syndrome, non-syndromic Robin sequence, or non-syndromic cleft palate.
- Children underwent clinical evaluation, anthropometric measurements, and OSA detection using the Biologix Sleep Test (high-resolution oximeter, actigraphy, and cloud-based algorithm).
- Data analysis focused on the oxygen desaturation index (ODI) and its correlation with sleep parameters.
Main Results:
- The integrated system successfully detected OSA in 92% of the evaluated children (59 out of 64).
- Mild OSA was diagnosed in 56%, moderate in 30%, and severe in 6% of patients.
- High signal quality (94.53%) and a first-night success rate of 90% were achieved, indicating excellent technical performance.
- Increased ODI correlated significantly with greater hypoxic burden and lower estimated sleep efficiency.
Conclusions:
- High-resolution oximetry combined with actigraphy and a cloud-based algorithm is a feasible and applicable method for detecting obstructive sleep apnea in children with craniofacial anomalies.
- This approach offers a promising solution for improving OSA diagnosis and management in this specific pediatric group.
- The study validates the use of this technology for identifying sleep-disordered breathing in children with complex congenital conditions.
Objective:
To verify the feasibility of high-resolution oximeter plus actigraphy combined with a cloud-based algorithm for the detection of obstructive sleep apnea (OSA) in children with craniofacial anomalies.
Materials And Methods:
In the present prospective, cross-sectional study, we evaluated children previously submitted to primary surgical palate repair with a genetically confirmed diagnosis of Treacher Collins syndrome (TCS), non-syndromic Robin sequence (NSRS), or non-syndromic cleft palate (NSCP). The children underwent a clinical evaluation, had their anthropometric measures taken, and were submitted to OSA detection using high-resolution oximeter plus actigraphy combined with a cloud-based algorithm (Biologix Sleep Test, Biologix Sistemas S.A., São Paulo, SP, Brazil).
Results:
In total, 64 children (TCS: n = 16; NSRS: n = 29; NSCP: n = 19) were included in the final analysis (mean age: 10 ± 2 years; 64% of female patients). The Biologix Sleep Test showed that 59 patients (92%) presented OSA according to the oxygen desaturation index (ODI): 36 (56%) were diagnosed with mild OSA, 19 (30%), with moderate OSA, and 4 (6%), with severe OSA. The high-resolution oximeter recording showed excellent signal quality in 94.53 ± 5.29% of the exams, with a success rate of exams on the first night of 90%. No significant difference was found in terms of ODI among the subgroups ( p > 0.05). A significant relationship was observed between increased ODI with greater hypoxic burden and lower estimated sleep efficiency. The multiple linear regression analysis demonstrated a significant association between changes in total ODI with lower estimated sleep efficiency and sleep ODI.
Conclusion:
High-resolution oximeter plus actigraphy combined with a cloud-based algorithm demonstrated adequate feasibility and applicability for OSA detection in children with craniofacial anomalies.
