Fetuin-B Links Nonalcoholic Fatty Liver Disease to Chronic Kidney Disease in Obese Chinese Adults: A Cross-Sectional Study.

BACKGROUND: There is no evidence available on the association of Fetuin-B with chronic kidney disease (CKD), and mechanisms linking nonalcoholic fatty liver disease (NAFLD) to CKD are not fully understood. We aimed to explore the independent associations and potential mechanisms of Fetuin-B and NAFLD with CKD. METHODS: A cross-sectional study of 1,072 Chinese adults who underwent serum Fetuin-B test and hepatic ultrasonography scanning was conducted in Xiamen, China. CKD was defined as estimated glomerular filtration rate < 60 mL/min/1.73 m2 and/or the presence of albuminuria. RESULTS: Subjects with CKD showed significantly higher prevalence of NAFLD (69.5 vs. 57.2%, p < 0.001) and serum Fetuin-B levels (4.32 ± 1.45 vs. 4.05 ± 1.36 µg/mL, p = 0.007) than their controls. Increased serum Fetuin-B was also significantly associated with increased levels of fasting insulin and homeostasis model assessment - insulin resistance (both p values < 0.05). NAFLD and higher serum Fetuin-B were significantly associated with increased risk of CKD, and the unadjusted ORs (95% CIs) were 1.701 (1.256-2.303, p = 0.001) and 1.213 (1.053-1.399, p = 0.008, per SD increase of Fetuin-B), respectively. With adjustment for potential confounding factors, including metabolic/insulin resistance syndrome, NAFLD but not serum Fetuin-B was still significantly associated with increased risk of CKD, and the adjusted ORs (95% CIs) were 1.820 (1.327-2.496, p < 0.001) and 1.116 (0.959-1.298, p = 0.153, per SD increase of Fetuin-B), respectively. CONCLUSIONS: Fetuin-B might link NAFLD to CKD via inducing insulin resistance, and NAFLD contributes independently to the pathogenesis of CKD via multiple mechanisms besides of metabolic/insulin resistance syndrome.

Visceral Adipose Tissue Indices Independently Correlated with Obstructive Sleep Apnea in Patients with Type 2 Diabetes.

AIMS: We aimed to explore whether visceral adiposity indices were significantly associated with obstructive sleep apnea (OSA) in type 2 diabetes (T2DM) patients. METHODS: 100 patients with T2DM who underwent overnight polysomnography were analyzed in this study. Anthropometric data, lipid profiles, and glycemic parameters were recorded. Body fat percentage (BFP) and visceral adipose tissue area (VAT area) were collected from a whole body scan using dual-energy X-ray absorptiometry (DXA). Multivariate logistic regression analysis was performed to explore the associations of AHI with BFP, VAT area, and CVAI. RESULTS: The prevalence rate of OSA was 80%, and the mean (±SD) of age was 47.0 ± 13.6 years. Apnea-hypopnea index (AHI) was significantly and positively associated with either VAT area (r = 0.433, p ≤ 0.001) or Chinese visceral adiposity index (CVAI) (r = 0.355, p ≤ 0.001) but not for BFP (r = 0.107, p = 0.294). Multivariate logistic regression analyses showed that VAT area and CVAI were significantly associated with increased risk of OSA, and the adjusted ORs were (95% CI) 1.025 (1.003-1.047, p = 0.023) and 1.018 (1.002-1.034, p = 0.030), respectively. However, there was no significant association between BFP and increased risk of OSA. CONCLUSIONS: VAT area and CVAI were independent risk factors of OSA in the patients with T2DM.

The Relationship of Serum 25-Hydroxyvitamin-D Level with Severity of Obstructive Sleep Apnea in Patients with Type 2 Diabetes Mellitus.

OBJECTIVE: To explore the association of serum vitamin-D levels with the severity of obstructive sleep apnea (OSA) in patients with type 2 diabetes mellitus (T2DM). METHODS: A cross-sectional study of 136 patients with T2DM who underwent overnight polysomnography (PSG) tests and serum 25-hydroxyvitamin-D3 (25(OH)D3) level detections was conducted. Multivariable linear regression and logistic regression analyses were performed to determine the associations of serum 25(OH)D3 levels with apnea-hypopnea index (AHI) and obstructive sleep apnea (OSA). RESULTS: The prevalence rates of OSA were 84.4% for male and 65.2% for female patients, respectively (p = 0.011). With increasing severities of OSA categories (none, mild, moderate and severe), patients were more likely to be male and obese, but there was no significant difference in serum 25(OH)D3 level ((mean ± standard deviation) 21.8 ± 8.8, 27.7 ± 14.6, 24.2 ± 9.8 and 26.8 ± 6.2 ng/mL, respectively, p=0.086). Serum 25(OH)D3 level was not significantly correlated with AHI (log-transformed), with the correlation coefficient of 0.133 (p=0.124). With adjustment for potential confounding factors, multivariable linear regression and logistic regression analyses showed that serum 25(OH)D3 level was not significantly associated with either AHI (log-transformed) or the risk of OSA, with the standardized regression coefficient (95% confidence interval (CI)) of 0.098 (-0.004-0.014, p=0.252) and the adjusted odds ratio (95% CI) of 1.055 (0.991-1.124, p=0.095), respectively. CONCLUSION: Serum 25(OH)D3 level was not significantly associated with either AHI or the risk of OSA in patients with T2DM.

Associations of apnea hypopnea index and educational attainments with microvascular complications in patients with T2DM.

PURPOSE: The relationship between obstructive sleep apnea (OSA) and diabetic microvascular complications (DMC) are controversial. Whether low education is associated with increased risk of DMC independently of poor lifestyles are currently unknown. The aim of this study is to explore the independent associations of different PSG index and educational attainment with risks of DR, DKD, and DPN. METHODS: A cross-sectional study of 330 patients with T2DM who underwent overnight polysomnography (PSG) tests. Multivariable logistic regression analysis was performed to determine the associations of PSG index and educational attainments with DR, DKD, and DPN. RESULTS: The prevalence rates of DMC were 30.6% for DR, 24.9% for DKD, and 64.6% for DPN. All PSG index (AHI, REM-AHI, NREM-AHI, the severity of OSAS, ODI, MAI, and lowest SaO2) were not significantly associated with risks of DR, DKD, or DPN with adjustment for potential confounding factors. Subjects with increasing educational attainments showed significantly decreased prevalence rates of DR (42.6, 27.3, and 21.3%, p = 0.005), DKD (31.7, 25.3, and 14.7%, p = 0.035) and DPN (74.3, 63.6, and 53.3%, p = 0.015), respectively. Logistic regression analyses showed that educational attainment of primary or below showed significantly increased risks of DR (OR (95% CIs): 3.596 (1.453-8.899, p = 0.006)) and DKD (OR (95% CIs): 3.201 (1.244-8.242, p = 0.016)) as compared with that of college or above. There were significant trends of lower educational attainment with increased risks of DR and DKD (p values < 0.05). CONCLUSION: PSG index were not significantly associated with DMC. But lower education was significantly associated with increased risks of DR and DKD, and strategies to prevent DMC for those with low education should be strengthened.

Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes.

PURPOSE: We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. METHODS: A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI ≤ 4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured. RESULTS: A total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (r = 0.194, p = 0.016). The level of SUA was significantly higher among OSAHS patients compared to the control group (control group: 333.14 ± 80.52 µmol/L, mild group: 345.50 ± 90.27 µmol/L, moderate group: 363.59 ± 134.26 µmol/L, and severe group: 428.37 ± 123.58 µmol/L and p = 0.029). Multivariable logistic regression analyses showed that SUA was the independent risk factor for OSAHS (OR: 1.006, 95% CI: 1.001-1.011, p = 0.020). CONCLUSIONS: The SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS.