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https://www.selleckchem.com/products/trastuzumab.html 72 events/h vs -9 events/h) but the difference was not significant at 12 months, though 28% of patients from the IG had an AHI less then 30 events/h compared to none in the CG (p=0.046). At 12 months, the IG showed a reduction in C-reactive protein (p=0.013), glycated hemoglobin (p=0.031) and an increase in high density lipoprotein cholesterol (p=0.027). CONCLUSIONS An IWLP in patients with obesity and severe OSA is effective for reducing weight and OSA severity. It also results in an improvement in lipid profiles, glycemic control and inflammatory markers. © 2020 American Academy of Sleep Medicine.Study Objectives Craniofacial anatomy is recognised as an important predisposing factor in the pathogenesis of obstructive sleep apnea (OSA). This study used 3D facial surface analysis of linear and geodesic (shortest line between points over a curved surface) distances to determine the combination of measurements that best predicts presence and severity of OSA. Methods 3D face photographs were obtained in 100 adults without OSA (apnea-hypopnea index, AHI less then 5 events/hr), 100 with mild OSA (5≤AHI less then 15 events/hr), 100 with moderate OSA (15≤AHI less then 30 events/hr) and 100 with severe OSA (AHI≥30 events/hr). Measurements of linear distances and angles, and geodesic distances were obtained between 24 anatomical landmarks from the 3D photographs. The accuracy with which different combinations of measurements could classify an individual as having OSA or not was assessed using Linear Discriminant Analyses and Receiver Operator Characteristic analyses. These analyses were repeated using different AHI thresholds to define presence of OSA. Results Relative to linear measurements, geodesic measurements of craniofacial anatomy improved the ability to identify individuals with and without OSA (classification accuracy 86% and 89% respectively, p less then 0.01). A maximum classification accuracy of 91% was achiev
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