Effect of Laparoscopic Roux-en-Y Gastric Bypass Surgery on Obstructive Sleep Apnea in a Chinese Population with Obesity and T2DM
Adult
Male
China
Endocrinology, Diabetes and Metabolism
Original Contributions
Polysomnography
Gastric Bypass
Body Mass Index
Young Adult
03 medical and health sciences
0302 clinical medicine
Surveys and Questionnaires
Humans
Obesity
Aged
2. Zero hunger
Sleep Apnea, Obstructive
Nutrition and Dietetics
Middle Aged
3. Good health
Treatment Outcome
Diabetes Mellitus, Type 2
Surgery
Female
Laparoscopy
Insulin Resistance
Sleep
Follow-Up Studies
DOI:
10.1007/s11695-014-1510-9
Publication Date:
2014-11-14T16:34:31Z
AUTHORS (7)
ABSTRACT
Bariatric surgery has been reported to be an effective treatment for obstructive sleep apnea (OSA). However, this evidence was not enough for different populations. Thus, we conducted a follow-up study to evaluate the effect of bariatric surgery on OSA in a Chinese population with obesity and type 2 diabetes mellitus (T2DM).From May 2011 to March 2014, 72 consecutive subjects with obesity and T2DM were recruited for this study. Before and at least 6 months after the laparoscopic Roux-en-Y gastric bypass (LYGB) surgery, all subjects were asked to undergo a polysomnography test. During the sleep center visit, anthropometric characteristic data, blood samples, and sleep questionnaires were collected.In total, 44 Chinese participants with OSA were included in the study. Compared with baseline data, the postoperative anthropometric characteristics, blood measurements, and sleep recording data, such as weight, apnea hypopnea index (AHI), and insulin resistance index, differed significantly (p < 0.001). The change in AHI was correlated significantly with preoperative weight (r = 0.298, p < 0.05), preoperative AHI (r = 0.729, p < 0.001), preoperative waist circumference (r = 0.307, p < 0.05), and preoperative insulin resistance (IR) index (r = -0.301, p < 0.05). Postoperative AHI was correlated significantly with age (r = 0.039, p = 0.039) and preoperative AHI (r = 0.445, p = 0.002), and the following prediction model was generated: log10 (postoperative AHI) = 0.626 × log10 (preoperative AHI) +0.010 × age -0.581.Our findings indicate that LYGB could be an effective therapeutic intervention in the management of OSA for patients with both obesity and T2DM, and the preoperative AHI and age might be important factors that influence the effort of LYGB.
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CITATIONS (37)
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