Obstructive sleep apnea and diabetes mellitus

Vale, Jorge; Manuel, Paula; Oliveira, Eurico; Oliveira, Ana Rita; Silva, Eloísa; Melo, Vitor; Sousa, Marta; Alexandre, João Carlos; Gil, Isabel; Sanchez, A.; Nascimento, Érika; Torres, A. Simões

doi:10.1016/j.rppnen.2014.07.005

Cited by 12 publications

(11 citation statements)

References 25 publications

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“…Using an AHI of 5, multiple studies have found high rates (45%-63%) of SDB. 77,78 Using an AHI cutoff of 10, studies reported the prevalence of SDB to be 27%-46%. 77,79 Using a cutoff of 15, the prevalence rates have ranged from 8% to 40%.…”

Section: Sleep-disordered Breathingmentioning

confidence: 99%

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<p>Sleep-related disorders in patients with type 1 diabetes mellitus: current insights</p>

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2020

NSS

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Type 1 diabetes mellitus (T1DM) is an autoimmune condition that results from destruction of beta cells in the pancreas. Several reviews have concluded that sleep contributes to poor glycemic control, diabetes management, and diabetes-related complications in individuals with T1DM and represents an untapped opportunity for intervention. However, at the current juncture, the American Diabetes Association's Standards of Medical Care are devoid of recommendations about how to address sleep in the management of T1DM. This article summarizes reviews of sleep in youth and adults with T1DM and empirical studies that have examined various sleep parameters ranging from sleep disturbances (general, perceived sleep quality, sleepiness, awakenings, and sleep efficiency), sleep duration, sleep consistency, sleep-disordered breathing (SDB), and sleep architecture. The data show that many individuals with T1DM sleep less than recommendations; individuals with the poorest sleep have difficulties with diabetes management; and sleep deficiency including SDB often corresponds to several disease morbidities (neuropathy, nephropathy, etc). Mixed findings exist regarding direct associations of various sleep parameters and glycemic control. SDB appears to be just as prevalent, if not more, than other conditions that have been recommended for universal screening in individuals with T1DM. The article concludes with recommendations for collaborative research efforts to further elucidate the role of sleep in diabetes-related outcomes; investigations to test behavioral strategies to increase sleep quantity and consistency; and considerations for clinical care to address sleep.

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Section: Sleep-disordered Breathingmentioning

confidence: 99%

“…77,79 Using a cutoff of 15, the prevalence rates have ranged from 8% to 40%. 78,8,81 Using an AHI > or ≥ 30, studies have found rates from 6% to 25%. These studies were based on samples ranging between 10 and 58 individuals.…”

Section: Sleep-disordered Breathingmentioning

confidence: 99%

<p>Sleep-related disorders in patients with type 1 diabetes mellitus: current insights</p>

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2020

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“…In part, these positive effects of prolonged placental transfusion might be attributed to better hemodynamic stability during the process of fetal-to-neonatal transition [4]. As shown by recent animal studies, clamping the cord after the lungs have been aerated is beneficial, as placental blood supply during lung aeration improves cardiac output and pulmonary blood flow [5,6]. In contrast, if the cord is clamped before the lungs are aerated, there may not be sufficient blood available to compensate for the increased pulmonary blood flow.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Type III Portable Monitors for Diagnosing Obstructive Sleep Apnea

Itō

Ikeda

2018

Biomed Hub

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Objectives: We evaluated whether the results from portable monitor (PM) devices for the diagnosis of obstructive sleep apnea (OSA), classified into type III and type IV devices by the American Academy of Sleep Medicine, correlated with the results from polysomnography (PSG) testing. Methods: Sixty-four patients with a sleep-breathing disorder used type III or type IV PM devices at home and were subsequently admitted for testing using PSG. The apnea-hypopnea index (AHI) from each machine was measured, and the AHI component, apnea index (AI), and hypopnea index (HI) were also analyzed. Results: There was a stronger correlation between the AHI values from PSG testing and those from the type III PM devices (r = 0.92, p < 0.001) than for the data from type IV devices (r = 0.69, p < 0.001). However, the correlation of HI values (type III: r = 0.43, p = 0.024; type IV: r = 0.14, p = 0.41) was poorer than that of the AI values (type III: r = 0.95, p < 0.001; type IV: r = 0.68, p < 0.001). Moreover, the type III PM devices tended to evaluate a patient's condition as less severe than did PSG testing when the AHI value was over 30. Conclusions: Although type III PM devices outperformed type IV devices as substitutes for PSG, the clinical state must be evaluated for patients suspected of having obstructive sleep apnea.

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“…It has been recognized as a paramount and growing prevalent public health problem affecting 22% of men and 17% of women on average [ 1 ]. Among the population with OSAS, certain subgroups like middle-age adults and elderly stand at a higher risk [ 2 ], which is also closely associated with a series of adverse complications such as hyperlipemia [ 3 , 4 ], type 2 diabetes [ 5 , 6 ], cardiovascular disease [ 7 – 9 ] (systemic hypertension [ 10 ], coronary disease [ 11 ], heart failure [ 12 ], and stroke [ 13 ]), pulmonary hypertension [ 14 ], and neurocognitive deficits [ 15 , 16 ]. Cognitive impairment in OSAS individuals is involved with various cognitive domains, such as attention/vigilance, memory, and global cognitive function as well as executive function.…”

Section: Introductionmentioning

confidence: 99%

Role of Oxidative Stress in the Neurocognitive Dysfunction of Obstructive Sleep Apnea Syndrome

Zhou

Chen

Peng

et al. 2016

Oxidative Medicine and Cellular Longevity

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Obstructive sleep apnea syndrome (OSAS) is characterized by chronic nocturnal intermittent hypoxia and sleep fragmentations. Neurocognitive dysfunction, a significant and extraordinary complication of OSAS, influences patients' career, family, and social life and reduces quality of life to some extent. Previous researches revealed that repetitive hypoxia and reoxygenation caused mitochondria and endoplasmic reticulum dysfunction, overactivated NADPH oxidase, xanthine oxidase, and uncoupling nitric oxide synthase, induced an imbalance between prooxidants and antioxidants, and then got rise to a series of oxidative stress (OS) responses, such as protein oxidation, lipid peroxidation, and DNA oxidation along with inflammatory reaction. OS in brain could trigger neuron injury especially in the hippocampus and cerebral cortex regions. Those two regions are fairly susceptible to hypoxia and oxidative stress production which could consequently result in cognitive dysfunction. Apart from continuous positive airway pressure (CPAP), antioxidant may be a promising therapeutic method to improve partially reversible neurocognitive function. Understanding the role that OS played in the cognitive deficits is crucial for future research and therapeutic strategy development. In this paper, recent important literature concerning the relationship between oxidative stress and cognitive impairment in OSAS will be summarized and the results can provide a rewarding overview for future breakthrough in this field.

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Obstructive sleep apnea and diabetes mellitus

Cited by 12 publications

References 25 publications

<p>Sleep-related disorders in patients with type 1 diabetes mellitus: current insights</p>

<p>Sleep-related disorders in patients with type 1 diabetes mellitus: current insights</p>

Accuracy of Type III Portable Monitors for Diagnosing Obstructive Sleep Apnea

Role of Oxidative Stress in the Neurocognitive Dysfunction of Obstructive Sleep Apnea Syndrome

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