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The predictive value of photogrammetry for obstructive sleep apnea

This study suggested that a prediction model based on photo-graphic measurements was capable of identifying individuals with and without OSA, and it had a better predictive performance than general physical examination. The highest accuracy was achieved after combining photographic and general physical measurements. Our method provided a safe and easily accessible way to quantify abnormality of the upper airway structures when OSA was suspected.

Significant relationships between pharyngeal grade, tonsil grade, lateral narrowing, and AHI were demonstrated after controlling for covariates in our study. There was no correlation between modified Mallampati grade and AHI. This was probably caused by differences in selection bias among the cohorts. Previous studies have confirmed that there is a relationship between upper airway structures and OSA severity.



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