Clinical predictors of effective continuous positive airway pressure in patients with obstructive sleep apnea/hypopnea syndrome. (13th January 2015)

• Record Type: Journal Article
• Authors: Lai, Chi‐Chih; Friedman, Michael; Lin, Hsin‐Ching; Wang, Pa‐Chun; Hwang, Michelle S.; Hsu, Cheng‐Ming; Lin, Meng‐Chih; Chin, Chien‐Hung
• Is Part Of: Laryngoscope. Volume 125:Number 8(2015:Aug.)
• Page Start: 1983
• Page End: 1987
• Publication Date: 2015-01-13
• Subjects: Otolaryngology -- Periodicals; 617.51005
• DOI: 10.1002/lary.25125
• Languages: English
• ISSNs: 0023-852X

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="lary25125-sec-0001" sec-type="section"> <title>Objectives/Hypothesis</title> <p>To identify standard clinical parameters that may predict the optimal level of continuous positive airway pressure (CPAP) in adult patients with obstructive sleep apnea/hypopnea syndrome (OSAHS).</p> </sec> <sec id="lary25125-sec-0002" sec-type="section"> <title>Study Design</title> <p>This is a retrospective study in a tertiary academic medical center that included 129 adult patients (117 males and 12 females) with OSAHS confirmed by diagnostic polysomnography (PSG).</p> </sec> <sec id="lary25125-sec-0003" sec-type="section"> <title>Methods</title> <p>All OSAHS patients underwent successful full‐night manual titration to determine the optimal CPAP pressure level for OSAHS treatment. The PSG parameters and completed physical examination, including body mass index, tonsil size grading, modified Mallampati grade (also known as updated Friedman's tongue position [uFTP]), uvular length, neck circumference, waist circumference, hip circumference, thyroid‐mental distance, and hyoid‐mental distance (HMD) were recorded.</p> </sec> <sec id="lary25125-sec-0004" sec-type="section"> <title>Results</title> <p>When the physical examination variables and OSAHS disease were correlated singly with the optimal CPAP pressure, we found that uFTP, HMD, and apnea/hypopnea index (AHI) were reliable predictors of CPAP pressures (<italic>P</italic> = .013, <italic>P</italic> = .002, and <italic>P <</italic> .001, respectively, by multiple regression). When all important factors were considered in a stepwise multiple linear regression analysis, a significant correlation with optimal CPAP pressure was formulated by factoring the uFTP, HMD, and AHI (optimal CPAP pressure = 1.01 uFTP + 0.74 HMD + 0.059 AHI − 1.603).</p> </sec> <sec id="lary25125-sec-0005" sec-type="section"> <title>Conclusions</title> <p>This study distinguished the correlation between uFTP, HMD, and AHI with the optimal CPAP pressure. The structure of the upper airway (especially tongue base obstruction) and disease severity may predict the effective level of CPAP pressure.</p> </sec> <sec id="lary25125-sec-0006" sec-type="section"> <title>Level of Evidence</title> <p>4. <italic>Laryngoscope</italic>, 125:1983–1987, 2015</p> </sec> </abstract>