Sleep-disordered breathing, type 2 diabetes and the metabolic syndrome

2014 ◽  
Vol 11 (4) ◽  
pp. 257-275 ◽  
Author(s):  
Ian W Seetho ◽  
John PH Wilding
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Sleep Disordered Breathing ◽  
Sleep Apnoea ◽  
The Metabolic Syndrome ◽  
Sleep Homeostasis ◽  
Obstructive Sleep ◽  
Underlying Mechanisms ◽  
Disordered Breathing

Sleep-disordered breathing (SDB) encompasses a spectrum of conditions that can lead to altered sleep homeostasis. In particular, obstructive sleep apnoea (OSA) is the most common form of SDB and is associated with adverse cardiometabolic manifestations including hypertension, metabolic syndrome and type 2 diabetes, ultimately increasing the risk of cardiovascular disease. The pathophysiological basis of these associations may relate to repeated intermittent hypoxia and fragmented sleep episodes that characterize OSA which drive further mechanisms with adverse metabolic and cardiovascular consequences. The associations of OSA with type 2 diabetes and the metabolic syndrome have been described in studies ranging from epidemiological and observational studies to controlled trials investigating the effects of OSA therapy with continuous positive airway pressure (CPAP). In recent years, there have been rising prevalence rates of diabetes and obesity worldwide. Given the established links between SDB (in particular OSA) with both conditions, understanding the potential influence of OSA on the components of the metabolic syndrome and diabetes and the underlying mechanisms by which such interactions may contribute to metabolic dysregulation are important in order to effectively and holistically manage patients with SDB, type 2 diabetes or the metabolic syndrome. In this article, we review the literature describing the associations, the possible underlying pathophysiological mechanisms linking these conditions and the effects of interventions including CPAP treatment and weight loss.

scholarly journals Impaired Glucose Metabolisms of Patients with Obstructive Sleep Apnea and Type 2 Diabetes

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ye Zhang ◽  
Yanpeng Xing ◽  
Haibo Yuan ◽  
Xiaokun Gang ◽  
Weiying Guo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Plasma Cortisol ◽  
Sleep Disordered Breathing ◽  
Model Assessment ◽  
Obstructive Sleep ◽  
Underlying Mechanisms ◽  
Disordered Breathing

Aims. Obstructive sleep apnea (OSA) is a very common disorder which is associated with metabolic comorbidities. The aims of this study were to analyze clinical data of patients with OSA and evaluate influence of sleep-disordered breathing on glycometabolism and its underlying mechanisms. Methods. We designed a cross-sectional study involving 53 OSA patients in The First Hospital of Jilin University from March 2015 to March 2016. They underwent a full-night polysomnography, measurement of fasting blood glucose and blood lipid profiles. Besides, we chose 20 individuals with type 2 diabetes mellitus (T2DM) as a subgroup for an in-depth study. This group additionally underwent a steamed bread meal test and measurement of HbA1c, C-reactive protein, tumor necrosis factor-α, interleukin 6, morning plasma cortisol, and growth hormone. Results. The two groups which with or without T2DM showed no significant differences in baseline characteristics. As for OSA patients with T2DM, the severe OSA group had higher homeostasis model assessment of insulin resistance (HOMA-IR) (P=0.013) than the mild-to-moderate OSA group, whereas had lower morning plasma cortisol levels (P=0.005) than the mild-to-moderate OSA group. AHI was positive correlated with HOMA-IR (r=0.523, P=0.018), yet negative correlated with morning plasma cortisol (r=−0.694, P=0.001). However, nadir SpO2 was positive correlated with morning plasma cortisol (rs=0.646, P=0.002), while negative correlated with HOMA-IR (rs=−0.489, P=0.029). Conclusions. Our study showed that sleep-disordered breathing exerted negative influence on glucose metabolisms. The impairment of hypothalamic-pituitary-adrenal axis activity may be one of the underlying mechanisms of the glycometabolic dysfunctions in OSA with T2DM patients.

scholarly journals Sleep Disordered Breathing in Patient with Type 2 Diabetes Mellitus and its Association with Diabetic Retinopathy: Single Center Study

2019 ◽  
Vol 2 (1) ◽  
pp. 160-163
Author(s):  
Milesh Jung Sijapati ◽  
Minalma Pandey ◽  
Poojyashree Karki ◽  
Nirupama Khadka
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Obstructive Sleep Apnea ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Obstructive Sleep ◽  
Disordered Breathing

Introduction: Sleep-disordered breathing comprises of obstructive sleep apnea, central sleep apnea, and periodic breathing. There is a link between obesity diabetes and sleep apnea with its association with retinopathy. Therefore this study was done to find out the association of sleep-disordered breathing in uncontrolled diabetes mellitus and association with retinopathy.Materials and Methods: This study was done from 2015 September to 2018 September in Sleep center, Nepal.  Patients diagnosed with Type 2 diabetes mellitus were included. Diabetes mellitus was diagnosed as blood sugar fasting ≥ 126mg/dl, or blood sugar postprandial ≥200mg/dl and glycosylated hemoglobin above 6.5%. Obstructive sleep apnea risk was determined using the STOP-BANG questionnaire. Relationships between the risk of Obstructive sleep apnea and clinical variables along with its association with diabetic retinopathy were evaluated using bivariate analyses and covariate-adjusted logistic regression models.Results: A total of 150 diabetic patients were analyzed. Among them 30 (20.0%) patients had mild Obstructive sleep apnea, 14 (9.3%) patients had moderate Obstructive sleep apnea and 15 (10.0%) patients had severe sleep apnea. Among patients with diabetes mellitus on multivariate regression analysis Obstructive sleep apnea was associated with diabetes mellitus OR 2.05, 95% CI (1.69- 8.83) and diabetic retinopathy OR 1.20 (0.67-5.89).Conclusions: This study concludes that those individuals having diabetes may be suffering from obstructive sleep apnea and association with retinopathy these individuals can be considered for the screening of sleep-disordered breathing by polysomnography.

scholarly journals Sex Differences in the Prevalence and Modulators of Sleep-Disordered Breathing in Outpatients with Type 2 Diabetes

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
T. Kroner ◽  
M. Arzt ◽  
M. Rheinberger ◽  
M. Gorski ◽  
I. M. Heid ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sex Differences ◽  
Sleep Disordered Breathing ◽  
Linear Regression Analysis ◽  
Sleep Apnoea ◽  
Men And Women ◽  
Prevalence Estimates ◽  
Disordered Breathing

In patients with type 2 diabetes, sleep-disordered breathing is a widespread cause of deteriorated quality of life. However, robust prevalence estimates for sleep-disordered breathing in patients with type 2 diabetes are limited due to scarce data. We investigated sex differences in sleep-disordered breathing prevalence and its modulators in the DIACORE SDB substudy, a sample of outpatient type 2 diabetes. 721 participants were tested for sleep-disordered breathing using a two-channel sleep apnoea monitoring device. Patients were stratified according to the severity of sleep-disordered breathing, defined as an apnoea-hypopnoea index < 15, ≥15 to 29, and ≥30 events per hour as no/mild, moderate, and severe sleep-disordered breathing, respectively. In the 679 analysed patients (39% women, age 66 ± 9 years, body mass index 31.0 ± 5.4 kg/m2), the prevalence of sleep-disordered breathing was 34%. The prevalence of sleep-disordered breathing was higher in men than in women (41% versus 22%,p<0.001) and increased with age (15%, 21%, and 30% in women and 35%, 40%, and 47% in men in those aged 18–59, 60–69, or ≥70, respectively; age trendp=0.064in women andp=0.15in men). In linear regression analysis, age, BMI, and waist-hip ratio were associated with apnoea-hypopnoea index. Modulators for higher apnoea-hypopnoea index seem to be similar in men and women.

scholarly journals Apnoea–hypopnoea indices determined via continuous positive airway pressure (AHI-CPAPflow) versus those determined by polysomnography (AHI-PSGgold): a protocol for a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e044499
Author(s):  
Fanny Bertelli ◽  
Carey Meredith Suehs ◽  
Jean Pierre Mallet ◽  
Marie Caroline Rotty ◽  
Jean Louis Pepin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Continuous Positive Airway Pressure ◽  
Airway Pressure ◽  
Sleep Disordered Breathing ◽  
Positive Airway Pressure ◽  
Meta Analysis ◽  
Sleep Apnoea ◽  
Obstructive Sleep ◽  
The Impact ◽  
Disordered Breathing

Introduction To date, continuous positive airway pressure (CPAP) remains the cornerstone of obstructive sleep apnoea treatment. CPAP data describing residual sleep-disordered breathing events (ie, the CPAP-measured apnoea–hypopnoea indices (AHI-CPAPflow)) is difficult to interpret because it is an entirely different metric than the polysomnography (PSG) measured AHI gold standard (AHI-PSGgold). Moreover, manufacturer definitions for apnoea and hypopnoea are not only different from those recommended for PSG scoring, but also different between manufacturers. In the context of CPAP initiation and widespread telemedicine at home to facilitate sleep apnoea care, there is a need for concrete evidence that AHI-CPAPflow can be used as a surrogate for AHI-PSGgold. Methods and analysis No published systematic review and meta-analysis (SRMA) has compared the accuracy of AHI-CPAPflow against AHI-PSGgold and the primary objective of this study is therefore to do so using published data. The secondary objectives are to similarly evaluate other sleep disordered breathing indices and to perform subgroup analyses focusing on the inclusion/exclusion of central apnoea patients, body mass index levels, CPAP device brands, pressure titration modes, use of a predetermined and fixed pressure level or not, and the impact of a 4% PSG desaturation criteria versus 3% PSG on accuracy. The Preferred Reporting Items for SRMA protocols statement guided study design. Randomised controlled trials and observational studies of adult patients (≥18 years old) treated by a CPAP device will be included. The CPAP intervention and PSG comparator must be performed synchronously. PSGs must be scored manually and follow the American Academy of Sleep Medicine guidelines (2007 AASM criteria or more recent). To assess the risk of bias in each study, the Quality Assessment of Diagnostic Accuracy Studies 2 tool will be used. Ethics and dissemination This protocol received ethics committee approval on 16 July 2020 (IRB_MTP_2020_07_2020000404) and results will be disseminated via peer-reviewed publications. PROSPERO/Trial registration numbers CRD42020159914/NCT04526366; Pre-results

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