Association between high cystatin C levels and carotid atherosclerosis.

AIM: To investigate the association between carotid atherosclerosis and cystatin C (CysC) and to determine the optimal CysC cut-off value. METHODS: One hundred twenty-eight subjects were included in this study. Atherosclerosis was defined as a maximum carotid plaque thickness (MCPT) of greater than 2 mm. A receiver operating characteristic curve analysis was used to determine the diagnostic value of serum CysC for atherosclerosis. The subjects were divided into two groups according to the CysC cut-off value. We screened for diabetes, hypertension, dyslipidemia, smoking status, alcohol consumption, and exercise behavior. The association between atherosclerosis and CysC levels was assessed using multivariate analysis. RESULTS: The subjects were then divided into two groups according to the CysC cut-off value (0.73 mg/L). The median age of the high CysC group was 72 years (85% males), whereas that of the low CysC group was 61 years (63% males). The CysC levels were significantly correlated with Cr and estimated glomerular filtration rate (eGFR) values. Body-mass index, visceral fat area, hypertension, diabetes mellitus, and MCPT were significantly higher in the high CysC group than in the low CysC group. Furthermore, the eGFR was significantly lower in the high CysC group. Regarding lifestyle habits, only the exercise level was lower in the high CysC group than in the low CysC group. Multivariate analysis, adjusted for age and sex, revealed that high CysC levels were significantly associated with an MCPT of ≥ 2 mm (odds ratio: 2.92; 95%CI: 1.13-7.99). CONCLUSION: Higher CysC levels were associated with an MCPT of ≥ 2 mm. The CysC cut-off value of 0.73 mg/L appears to aid in the diagnosis of atherosclerosis.

Utility of 75-g oral glucose tolerance test results and hemoglobin a1c values for predicting the incidence of diabetes mellitus among middle-aged Japanese men -a large-scale retrospective cohort study performed at a single hospital.

OBJECTIVE: The aim of this study was to investigate the associations between the incidence of diabetes and the accumulation of markers of impaired glucose metabolism; i.e., pre-diabetes. METHODS: This retrospective cohort study recruited 1,631 men without diabetes at baseline who attended more than two routine health check-ups at our institution between 2006 and 2012. The participants were divided into four groups based on the number of markers of impaired glucose metabolism exhibited at the initial examination. The following markers of impaired glucose metabolism were defined as risk factors for diabetes: a fasting plasma glucose level of ≥110 mg/dL, 2-hour plasma glucose level of ≥140 mg/dL and glycated hemoglobin (HbA1c) value of ≥6.0% (42 mmol/moL). The risk of developing diabetes was assessed using a multivariate analysis. RESULTS: The median examination interval was 1,092 days. The incidence of diabetes rose in association with the number of markers. The subjects with two markers displayed a multivariate-adjusted odds ratio (OR) for diabetes of 19.43 [95% confidence interval (CI): 9.70-38.97] and the subjects with three markers displayed an OR of 48.30 (95% CI: 20.39-115.85) compared with the subjects with one or no markers. CONCLUSION: The present results demonstrate the impact of accumulating markers of impaired glucose metabolism on the risk of developing diabetes. Anti-diabetes intervention strategies should aim to comprehensively assess an individual's risk of developing diabetes at the pre-diabetes stage.

Association between abdominal fat distribution and atherosclerotic changes in the carotid artery.

AIM: We aimed to evaluate the association between abdominal fat distribution (e.g., abdominal visceral fat area [VFA], subcutaneous fat area [SFA], and total fat area [TFA]), waist circumference (WC), or body mass index (BMI) and atherosclerotic changes in the carotid artery after adjusting for common risk factors. METHODS: The present study is a hospital-based, cross-sectional study. Study participants included 223 Japanese individuals who underwent a medical health checkup at Juntendo University Hospital, Tokyo, between December 2005 and August 2011. Multivariate logistic regression analysis was used to examine the association between abdominal VFA, SFA, TFA, the VFA/SFA ratio, WC, or BMI and intima-media thickness [IMT] (mean IMT≥1.1mm or maximum IMT≥1.2mm) as atherosclerotic changes in the carotid artery. RESULTS: Multivariate logistic regression analysis showed that VFA (OR for ≥150cm(2) versus <100cm(2), 3.88; 95% CI, 1.39-10.85), BMI (OR for ≥27.6kg/m(2) versus <25kg/m(2), 5.22; 95% CI, 1.69-16.16), and TFA (OR for 200-285cm(2) versus <200cm(2), 4.15; 95% CI, 1.34-12.86: OR for ≥285cm(2) versus <200cm(2), 5.53; 95% CI, 1.76-17.35) were significantly associated with atherosclerotic changes in men. After adjustment for BMI, only TFA (OR for ≥285cm(2) versus <200cm(2), 3.76; 95%CI, 1.03-13.79) in men was significantly associated with atherosclerotic changes in the carotid artery. CONCLUSIONS: Our results indicate that VFA, TFA, and BMI are independently associated with atherosclerotic changes in Japanese men. TFA may be considered as a valuable measure of atherosclerotic changes.

Associations between healthy lifestyle behaviors and proteinuria and the estimated glomerular filtration rate (eGFR).

AIM: The aim was to investigate the respective associations between lifestyle and proteinuria and the estimated glomerular filtration rate (eGFR). METHODS: The lifestyle habits of 25,493 middle-aged participants were investigated in a cross-sectional study to find habits that are associated with a low eGFR (<60 mL/min/1.73 m(2)) and/or the presence of proteinuria. The lifestyle habits of the participants were evaluated using a questionnaire. Unhealthy lifestyle habits were defined as follows: 1. obesity, 2. being a current/former smoker, 3. eating irregular meals, 4. having less than 5 hours sleep, 5. exercising less than once a week, and 6. drinking more than once a week. The associations among unhealthy habits, eGFR, and proteinuria were evaluated using multivariate analysis. RESULTS: The following lifestyle factors were significantly and independently associated with proteinuria: obesity (odds ratio (OR): 1.18, 95%C.I: 1.04-1.34), being a current/former smoker (OR: 1.26, 95%C.I: 1.11-1.42), eating irregular meals (OR: 1.40, 95%C.I: 1.22-1.61), sleeping less than 5 hours (OR: 1.38, 95%C.I: 1.15-1.65), and exercising less than once a week (OR: 1.18, 95%C.I: 1.05-1.33). In contrast, the following unhealthy lifestyle factors were not clearly associated with a low eGFR: obesity (OR: 1.05, 95%C.I: 0.95-1.17), being a current/former smoker (OR: 0.76, 95%C.I: 0.69-0.84), eating irregular meals (OR: 0.91, 95%C.I: 0.79-1.04), sleeping less than 5 hours (OR: 1.02, 95%C.I: 0.85-1.22), and exercising less than once a week (OR: 0.91, 95%C.I: 0.83-0.99). CONCLUSION: Associations between proteinuria and unhealthy lifestyle habits were observed in our cross-sectional study. Unhealthy lifestyles should be monitored during the management of CKD patients with proteinuria.