Periodic limb movements in sleep are associated with stroke and cardiovascular risk factors in patients with renal failure.

Periodic limb movements in sleep (PLMS) is prevalent among dialysed patients and is associated with increased risk of mortality. Our study aimed to determine the prevalence of this disease in a sample of transplanted and waiting-list haemodialysed patients. One hundred transplanted and 50 waiting-list patients underwent polysomnography. Moderate and severe diseases were defined as periodic limb movements in sleep index (PLMSI) higher than 15 and 25 events h(-1), respectively. The 10-year coronary heart disease risk was estimated for all patients using the Framingham Score. Moreover, the 10-year estimated risk of stroke was calculated according to the modified version of the Framingham Stroke Risk Profile. PLMS was present in 27% of the transplanted and 42% of the waiting-list group (P = 0.094); the proportion of severe disease was twice as high in waiting-list versus transplanted patients (32 versus 16%, P = 0.024). Patients with severe disease had a higher 10-year estimated risk of stroke in the transplanted group [10 (7-17) versus 5 (4-10); P = 0.002] and a higher 10-year coronary heart disease risk in both the transplanted [18 (8-22) versus 7 (4-14); P = 0.002], and the waiting-list groups [11 (5-18) versus 4 (1-9); P = 0.032]. In multivariable linear regression models the PLMSI was associated independently with the Framingham cardiovascular and cerebrovascular scores after adjusting for important covariables. Higher PLMSI is an independent predictor of higher cardiovascular and cerebrovascular risk score in patients with chronic kidney disease. Severe PLMS is less frequent in kidney transplant recipients compared to waiting-list dialysis patients.

[Links between diabetes mellitus and sleep disorders: focusing on obstructive sleep apnea]. / A diabetes mellitus és az alvászavarok kapcsolata - fókuszban az obstruktív alvási apnoe.

During the past decades obesity and diabetes have become increasingly common in modern, industrialized societies. At the same time sleep disorders, chronic sleep loss and sleep deprivation have also become more and more prevalent. There may be a positive feed back circle between the two disorders: sleep problems may affect endocrine function and metabolic conditions, while metabolic abnormalities potentially interfere with sleep regulation. Sleep-disordered breathing, obstructive sleep apnea in particular, has the strongest association with glucose metabolism. Prevalence and severity of obstructive sleep apnea are higher among diabetic individuals compared to non-diabetic subjects. Central obesity is an important risk factor both in diabetes and sleep apnea, and recent evidence supports the direct association between them. Diabetic neuropathy and metabolic syndrome parameters correlate with the presence and severity of obstructive sleep apnea. Intermittent hypoxia may cause insulin resistance, consequently increasing the risk of diabetes and further impairing glycemic control. Specialists in both diabetology and sleep medicine need to work together to prevent the negative interactions between these two groups of disorders and to also preserve patients' quality of life and to improve outcomes.

Obstructive sleep apnea and heart rate variability in male patients with metabolic syndrome: cross-sectional study.

BACKGROUND: Obstructive sleep apnea (OSA) is often accompanied by the metabolic syndrome. Because both conditions are associated with depressed heart rate variability (HRV) separately, our aim was to study whether co-morbid OSA is associated with more reduced HRV in male patients with the metabolic syndrome. METHODS: In this cross-sectional study, 35 men (age, 57±11 years) with the metabolic syndrome (according to International Diabetes Federation criteria) were included. OSA severity was defined by the apnea-hypopnea index (AHI). HRV was assessed by 24-hr ambulatory electrocardiographic monitoring. Standard deviation of all normal-to-normal RR intervals (SDNN), the high frequency power (HFP), and the ratio of low- to high-frequency power (LF/HF) were measured. RESULTS: There were 14, 6, and 8 cases of severe (AHI ≥30/hr), moderate (15/hr≤AHI <30/hr), and mild (5/hr ≤AHI <15/hr) OSA, respectively. Seven patients had no OSA. Patients with mild-moderate or severe OSA had reduced SDNN and HFP values compared to those without OSA. Increasing OSA severity was associated significantly with lower daytime LF/HF ratio [standardized ß regression coefficient (ß)=-0.362, P=0.043] and higher night/day LF/HF ratio (ß=0.377, P=0.023) after controlling for age, duration of diabetes, and severity of metabolic syndrome. CONCLUSIONS: Co-morbid OSA is associated with decreased overall HRV, parasympathetic loss, and impaired diurnal pattern of sympathovagal balance that may further increase the cardiovascular vulnerability of male patients with the metabolic syndrome. The role of the HRV analysis in the risk assessment of these patients warrants further studies.

Association between lunar phase and sleep characteristics.

OBJECTIVES: Popular belief holds that the lunar cycle affects human physiology, behavior, and health, including sleep. To date, only a few and conflicting analyses have been published about the association between lunar phases and sleep. Our aim was to analyze the relationship between lunar phases and sleep characteristics. METHODS: In this retrospective, cross-sectional analysis, data from 319 patients who had been referred for sleep study were included. Individuals with apnea-hypopnea index ≥ 15/h were excluded. Socio-demographic parameters were recorded. All participants underwent one-night standard polysomnography. Associations between lunar cycle (new moon, full moon and alternate moon) and sleep parameters were examined in unadjusted and adjusted models. RESULTS: Fifty-seven percent of patients were males. Mean age for men was 45 ± 14 years and 51 ± 12 years for women. In total, 224 persons had their sleep study done during alternate moon, 47 during full moon, and 48 during new moon. Full moon was associated with lower sleep efficiency [median (%) (IQR): new moon 82 (18), full moon 74 (19), alternate moon 82 (15); P < 0.001], less deep sleep [median (%) (IQR): new moon 9 (9), full moon 6 (4), alternate moon 11 (9); P < 0.001], and increased REM latency [median (min) (IQR): new moon 98 (74), full moon 137 (152), alternate moon 97 (76); P < 0.001], even after adjustment for several covariables. CONCLUSION: The results are consistent with a recent report and the widely held belief that sleep characteristics may be associated with the full moon.

Lack of association between objectively assessed sleep disorders and inflammatory markers among kidney transplant recipients.

PURPOSE: In patients on dialysis, the results of studies examining the association between sleep disorders and inflammation are controversial. We assessed the association between inflammatory markers and different sleep disorders in a large sample of kidney transplant recipients. METHODS: Cross-sectional study of 100 randomly selected kidney transplant patients who underwent one-night polysomnography ("sleep disorders evaluation in patients after kidney transplantation study") to diagnose obstructive sleep apnea (OSA) and periodic limb movements in sleep (PLMS). Athens Insomnia Scale (AIS) was utilized to assess the prevalence of insomnia. Sociodemographic information and data about medication, comorbidity and laboratory parameters were collected. Levels of inflammatory markers, such as C-reactive protein, serum albumin, white blood cell count, interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), were measured. RESULTS: The mean age was 51 ± 13 years, 43% were women, and the prevalence of diabetes was 19%. We found no significant difference in the levels of inflammatory markers between patients with versus without OSA and PLMS. Apnea-hypopnea index showed a significant association with white blood cell count (ρ = 0.23), and weak (ρ < |0.15|), non-significant correlation with the other inflammatory markers. PLM index showed weak (ρ < |0.15|), non-significant correlation with all markers of inflammation. The serum IL-6 level was significantly higher in patients with insomnia (AIS ≥ 10) than in non-insomniacs [median (IQR): 3.2(2.6-5.1) vs. 1.7(1.2-2.9) ng/l; P = 0.009]. The levels of other inflammatory markers were similar between insomniacs and non-insomniacs. CONCLUSIONS: We did not find any association between the presence of objectively assessed sleep disorders and inflammatory markers in kidney transplant patients.