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Objectives: Nocturnal pulse oximetry is a broadly used different to polysomnography (PSG) in screening for obstructive sleep apnea (OSA) syndrome. Several oximetric indexes have been derived from nocturnal blood oxygen saturation (SaO2). However, they suffer from several limitations. The present study is targeted on the usefulness of nonlinear methods in deriving new measures from oximetry indicators to enhance the diagnostic accuracy of classical oximetric indexes. Specifically, we assessed the validity of central tendency measure (CTM) as a screening test for OSA in patients clinically suspected of affected by this disease. Materials and strategies: We studied 187 topics suspected of suffering from OSA referred to the sleep unit. A nocturnal pulse oximetry research was applied concurrently to a conventional PSG. Three totally different index teams have been compared. The first one was composed by classical indexes offered by our oximeter: oxygen desaturation indexes (ODIs) and cumulative time spent under a saturation of 90% (CT90). The second one was formed by indexes derived from a nonlinear method previously studied by our group: approximate entropy (ApEn). The final one was composed by indexes derived from a CTM analysis.
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