Which anthropometric parameter is best related with urinary albumin excretion and creatinine clearance in type 2 diabetes: body mass index, waist circumference, waist-to-hip ratio, or conicity index?

OBJECTIVE: We analyzed the relationships between body mass index (BMI), waist circumference (WC), waist-to-hip ratio, and conicity index and 24-hour urinary albumin excretion rate (UAER) and creatinine clearance. DESIGN: Cross-sectional study. SETTING: Patients presenting to a state hospital. PATIENTS: Study involved patients with type 2 diabetes. METHODS: Study participants underwent medical history examination, measurement of office blood pressure (BP), measurement of anthropometric factors and calculations (including BMI, WC, waist-to-hip ratio, and conicity index), physical examination, biochemical analysis, and 24-hour urine specimen collection to determine creatinine clearance and UAER. RESULTS: In all, 202 patients with type 2 diabetes (male/female: 91/111, aged: 58.4 ± 10.1 years) were included. It was found that 24-hour UAER correlated with WC (rho: +0.176, P = .012), serum albumin (rho: -0.324, P < .0001), and systolic BP (rho: +0.153, P = .029), whereas creatinine clearance correlated with age (rho: -0.152, P = .031), BMI (rho: +0.191, P = .007), albumin level (rho: +0.365, P < .0001), and uric acid level (rho: -0.369, P < .0001). The stepwise linear regression analysis revealed that WC (P = .012), glycosylated hemoglobin (P = .018), and systolic BP (P = .043) were found to be independently related to logarithmically converted 24-hour UAER, whereas creatinine clearance was found to be related to duration of diabetes (P = .001), BMI (P = .008), presence of peripheral arterial disease (P = .021), fasting serum glucose level (P = .003), and uric acid level (P < .0001). However, after correction for body surface area, BMI was no longer associated with creatinine clearance. CONCLUSION: Among the anthropometric parameters, only an increase in WC was found to be independently related to 24-hour UAER. Although BMI was associated with creatinine clearance, this association was lost after creatinine clearance was corrected for body surface area.

Targeting parathyroid hormone level in diabetic patients with stage 3 to 5 chronic kidney disease: does metabolic syndrome matter?

OBJECTIVES: Patients with type 2 diabetes have lower intact parathyroid hormone (iPTH) levels when compared with non-diabetics. Patients with metabolic syndrome (MetSyn) have increased iPTH levels than normal subjects. We hypothesized that patients with type 2 diabetes and MetSyn might have higher iPTH levels as compared with those without MetSyn. METHODS: The study had an observational design. A total of 84 patients with type 2 diabetes and stage 3 to stage 5 chronic kidney disease (CKD) were recruited (male/female, 40/44). RESULTS: A total of 59 (70.2%) patients had MetSyn. Progress from stage 3 to stage 5 CKD lead to a significant increase in iPTH levels (P-trend = .018). Patients with diabetes and MetSyn had lower high-density lipoprotein cholesterol (P = .018) and higher waist circumference (P = .019), systolic blood pressure (P = .036), fasting plasma glucose (P = .005), HbA1c levels (P = .012), triglyceride (P < .0001), and iPTH (P = .009) as compared with patients without MetSyn. Serum iPTH was negatively correlated with estimated glomerular filtration rate, as measured by Modification of Diet in Renal Disease formula (r = -0.339, P = .002), serum calcium (r = -0.232, P = .037), glucose (r = -0.240, P = .03), and HbA1c (r = -0.301, P = .04) and was positively correlated with urinary albumin excretion rate (r = +0.225, P = .044). After adjusting for potential confounders, logPTH was higher in patients with MetSyn as compared with those without among type 2 diabetic patients with CKD (P = .039). CONCLUSIONS: MetSyn might influence iPTH levels in type 2 diabetic patients with stage 3 to 5 CKD. However, it is still debatable whether MetSyn should be taken into account in determining target iPTH levels in type 2 diabetic patients with CKD.