The joint impact of habitual exercise and glycemic control on the incidence of chronic kidney disease (CKD) in middle-aged and older males

Abstract Background This retrospective study evaluated the influence of the joint impact of habitual exercise and glycemic control on the incidence of chronic kidney disease (CKD) during a 6-year follow-up period in middle-aged and older males. Methods The study population included 303 males without a history of cardiovascular disease, stroke, renal dysfunction, or dialysis treatment. Their lifestyle behaviors regarding exercise and physical activity were evaluated using a standardized self-administered questionnaire. The participants were divided into four categories according to the performance or non-performance of habitual exercise and the presence or absence of hyperglycemia. Results After 6 years, 32 subjects (10.6%) developed CKD (estimated glomerular filtration rate < 60 ml/min/1.73 m2 and/or proteinuria). The cumulative incidence of CKD was significantly higher among subjects who did not perform habitual exercise and hyperglycemic subjects (log-rank test: p < 0.05, respectively). According to a Cox proportional hazards model, the hazard ratio (HR) for the incidence of CKD in subjects with a normal glucose tolerance (NGT) who did not perform habitual exercise (HR = 2.82, 95% confidence of interval (CI) = 1.07–7.36, p = 0.034) and that in hyperglycemic subjects who did not perform habitual exercise (HR = 5.89, 95% CI = 1.87–16.63, p = 0.003) were significantly higher in comparison to the subjects with a NGT who performed habitual exercise. Conclusions These results suggest that the habitual exercise and good glycemic control and their combination were associated with the incidence of CKD

Hypertension and hyperglycemia and the combination thereof enhances the incidence of chronic kidney disease (CKD) in middle-aged and older males

Aim: Chronic kidney disease (CKD) may be an etiologic cause of aging, hypertension, diabetes mellitus (DM), and metabolic syndrome. However, the influence of these cardiovascular risk factors and their combination on the development of CKD remains controversial. This retrospective study evaluated the influence of cardiovascular risk factors and their combination on the incidence of CKD during a 6-year follow-up period in middle-aged and older males. Methods: The subjects were 303 males without a history of cardiovascular disease, stroke, renal dysfunction, or dialysis treatment. A biochemical analysis, blood pressure (BP) analysis, and anthropometry measurements were performed every year, and the classification of CKD was also assessed based on the estimated glomerular filtration rate (<60 ml/min/1.73 m2) and/or presence of proteinuria. Results: After 6 years, the incidence of CKD was noted in 32 subjects. According to a multivariable analysis, hypertension (hazard ratio [HR]: 3.95, 95% confidence of interval [CI]: 1.64–9.49, p = 0.002) and hyperglycemia (HR: 3.27, 95% CI: 1.42–7.56, p = 0.006) were significantly associated with the incidence of CKD. According to a Cox proportional hazards model, the HR for the incidence of CKD was significantly higher in the combination of high-normal BP/hypertension and impaired fasting glucose/DM group than in the combination of normotensive and normal glucose tolerance group (HR: 7.16, 95% CI: 2.43–17.25, p = 0.001). Conclusions: These results suggest that the hypertension and hyperglycemia and their combination may be associated with the incidence of CKD

Associations between microalbuminuria and parameters of flow-mediated vasodilatation obtained by continuous measurement approaches

The associations between microalbuminuria and various parameters of flow-mediated vasodilatation (FMD) are not completely understood. We retrospectively analyzed 265 consecutive patients who underwent coronary angiography and in whom we could measure FMD and the urine albumin-creatinine ratio (UACR). Using 15 continuous measurement approaches, we measured FMD as the magnitude of the percentage change in the brachial artery diameter from baseline to peak (bFMD), the maximum FMD rate calculated as the maximal slope of dilation (FMD-MDR), and the integrated FMD response calculated as the area under the dilation curve during the 60- and 120-s dilation periods (FMD-AUC60 and FMD-AUC120). We divided the patients into two groups according to UACR: normoalbuminuria (NOR, n = 211) and microalbuminuria (MIC, n = 54). The MIC group showed a significantly higher percentage of coronary artery disease than the NOR group. FMD-AUC60 and FMD-AUC120, but not FMD-MDR, in the MIC group were significantly lower than those in the NOR group. On the other hand, bFMD in the MIC group tended to be lower than that in the NOR group, but this difference was not significant. A multiple regression analysis indicated that FMD-AUC120 and diabetes mellitus were predictors of MIC. Finally, we defined the cut-off value of FMD-AUC120 for the presence of MIC in all patients as 8.4 mm x second (sensitivity 0.640, specificity 0.588) by a receiver-operating characteristic curve analysis. In conclusion, this study provides more definitive evidence for the association of microalbuminuria with endothelial dysfunction. FMD-AUC120 may be a superior marker for MIC

Increased carotid artery plaque score is an independent predictor of the presence and severity of coronary artery disease

SummaryObjectivesCarotid ultrasonography is noninvasive and effective for the assessment of atherosclerotic lesions. The relationship between carotid ultrasound findings and presence and severity of coronary artery disease (CAD) was examined in Japanese patients.Methods and resultsSubjects were 116 patients who underwent carotid ultrasonography and coronary angiography. In carotid ultrasonography, mean-intima-media thickness (IMT), common carotid artery max IMT, bifurcation max IMT, plaque number, and plaque score (PS). The coronary angiographic data was obtained in the same period as carotid ultrasonography was performed. Patients were divided into two groups based on the presence or absence of coronary artery stenosis (CAS and non-CAS) and CAS group was further categorized into three groups, 1 vessel disease (1VD), 2VD, and 3VD. Physical findings, biochemical data, and carotid ultrasonogram data between the groups were compared. Items showing a significant difference between CAS and non-CAS were age, gender (male), incidence of diabetes and dyslipidemia, fasting blood sugar (FBS), triglyceride, HDL-cholesterol (HDL-C), high-sensitivity C-reactive protein, and all carotid ultrasound findings. All of the above parameters also showed a significant difference between four different severity groups. Stepwise logistic regression analysis was performed to determine which factors predict the presence and/or severity of CAS. High PS showed the strongest predictive value for both and followed by low HDL-C and high FBS. The cut-off value of PS obtained by receiver operating characteristic curve for predicting the presence of CAS was 1.9.ConclusionsAssessment of PS by carotid ultrasonography together with other risk factor assessment was clinically relevant to predict the presence and severity of CAS