Original articleAutonomic dysfunction in obstructive sleep apnea is associated with impaired glucose regulation
Introduction
Obstructive sleep apnea (OSA) affects approximately 2–4% of the United States population [1]. The increased risk in cardiovascular disease in OSA has been attributed to hyperactivity of the adrenergic system, caused by chronic intermittent hypoxia. Animal models of recurrent hypoxia have demonstrated sustained hypertension and increased neuronal activity in brainstem nuclei involved in regulating sympathetic nerve activity [2], [3]. Multiple previous studies have demonstrated abnormalities in cardiac adrenergic function in patients with OSA, supporting this hypothesis [1], [4], [5], [6], [7], [8]. In addition, several studies evaluating vagal cardiac activity have found abnormalities in vagal function as well [2], [6], [9], [10].
OSA is tightly associated with the metabolic syndrome and diabetes mellitus [11], [12], [13]. In one study, 40% of subjects with OSA had impaired fasting glucose (IFG), and another 12% had undiagnosed diabetes [13]. Autonomic dysfunction in diabetes was once thought to be a late complication of the disorder, particularly in type II diabetics. However, recent literature suggests that autonomic dysfunction occurs early, and can be abnormal in subjects with prediabetes (IFG or impaired glucose tolerance (IGT)) [14], [15], [16], [17].
Previous studies evaluating autonomic function in OSA either did not test for impaired glucose regulation (IGR) or relied upon older criteria for fasting plasma glucose which changed in 2003 [18]. Therefore, it is not known whether changes in autonomic function observed in OSA are a direct result of OSA or have been observed because of the high prevalence of undiagnosed IGR in subjects with OSA.
This clinical study evaluates the association between IGR, OSA, and autonomic function.
Section snippets
Participants
Volunteers with symptoms of disturbed sleep such as snoring, excessive daytime sleepiness, etc., were recruited for this cross-sectional study by advertisement and physician referral. Subjects recruited who had normal polysomnograms (PSGs) were used for normal controls. An additional two normal subjects were recruited using spousal controls. Study participants were between 21 and 75 years of age, with no known history of diabetes or other disorders known to affect the autonomic system. To avoid
Statistics
All data were analyzed using SAS version 8.2 (SAS Institute, Cary, NC). P < 0.05 was considered statistically significant. A total of two people were excluded from the study because glucose results were not available. The remaining sample included 24 OSA cases and nine normal control subjects. The demographic and clinical characteristics for cases and controls are listed in Table 1 and compared using Mann–Whitney U statistics for continuous variables and Mantel–Haenszel Chi-Square Test for
Patient characteristics
Demographic data of subjects with and without OSA are presented in Table 1. Of 33 patients recruited, 24 patients had a PSG diagnosis of OSA, with an AHI of 5 or more (6–86.8, mean 38.6). Although not statistically significant at α = 0.05 level, probably due to small sample size, OSA patients were older (p = 0.06), more obese (p = 0.06), and had more abdominal obesity as measured by waist–hip ratio (p = 0.06). Average BMI in the OSA group (36.2 ± 7.3) was greater than in the non-OSA group (31.3 ± 5.0) with
Discussion
Although this study was limited by sample size, it illustrates that there is a high frequency of glucose results in the prediabetic and diabetic range in patients with OSA (up to 80%). In addition, a significant number of patients with glucose abnormalities had a normal fasting glucose, suggesting that fasting glucose alone is inadequate to screen for IGR. This study is the first time autonomic function in OSA has been evaluated in the context of glucose abnormalities. Previous autonomic
Acknowledgements
The authors were supported in part by NIH NS42056, the Juvenile Diabetes Research Foundation Center for the Study of Complications in Diabetes (JDRF), Office of Research Development (Medical Research Service), Department of Veterans Affairs (J.W.R.); and NIH T32 NS07222 (A.C.P.). Support for the project was also received from the University of Michigan General Clinical Research Center #M01-RR00042 and NDDK #5P60DK-20572, the Michigan Diabetes and Training Center (MDRTC). The authors thank Dr.
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