ArticleTranslational pediatrics2026
The hypoxic burden algorithm: an integrated index for assessing intermittent hypoxia in pediatric obstructive sleep apnea-a retrospective cohort study.
Article in Translational pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Pediatric obstructive sleep apnea (OSA) involves recurrent upper-airway obstruction during sleep, which leads to intermittent hypoxia (IH) and contributes to neurocognitive, cardiovascular, and metabolic complications. Polysomnography (PSG) and the Obstructive Apnea-Hypopnea Index (OAHI) are commonly used for diagnosis; however, conventional nocturnal hypoxic metrics such as lowest oxygen saturation (LSpO Methods: We conducted a retrospective analysis of PSG data from 115 children with suspected OSA at Tianjin Children's Hospital between December 2020 and November 2025. Data were analyzed using internally developed Matlab software. The differential performance of five nocturnal IH parameters (LSpO Results: The cohort (72 males, 43 females; mean age 6.44±2.86 years) was distributed into normal (n=15), mild (n=63), moderate (n=23), and severe OSA (n=14) groups based on OAHI. Significant differences were observed among severity groups for ODI3, T90, and HB. Correlation analysis showed LSpO Conclusions: We successfully developed an HB algorithm, demonstrating its significant advantage in pediatric OSA diagnosis. Compared to traditional indices that reflect only a single dimension of oxygen desaturation, HB integrates the frequency, depth, and duration of hypoxia. This provides a robust, objective alternative for the early screening and clinical assessment of children with OSA.
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