A possible relationship between renal impairment and complications development in type 2 diabetes mellitus: a prospective, observational study in Italy.

BACKGROUND: We investigated the relationship between complications development and estimated glomerular filtration rate (eGFR), in a cohort of type 2 diabetes mellitus (T2DM) outpatients. METHODS: This observational study considered 1284 T2DM outpatients, who had been followed-up for 4.5 ± 1.6 years. eGFR was estimated using Chronic Kidney Disease Epidemiology Collaboration equation. The independent relationship between development of complications and clinical data was evaluated, and hazard ratio (HR) by Cox regression analysis calculated. RESULTS: Mean age of the population was 66.8 ± 10.4 years; mean serum creatinine and eGFR were 1.05 ± 0.36 mg/dl and 71.6 ± 21.6 ml/min/1.73 m(2), respectively. Complications including death (14.2% of the whole population) were recorded in 504 subjects (39.3%). Patients with complications were older and more frequently male with history of hypertension, coronary heart disease, congestive heart disease, retinopathy, nephropathy and had higher levels of glycated hemoglobin. At Cox regression analysis, eGFR was the major risk factor for development of complications, and the HR increased according with lower eGFR (HR 1.53 and 1.86, for eGFR<45 and<30 ml/min/1.73 m(2), respectively). CONCLUSIONS: In our cohort of T2DM outpatients, a reduced eGFR was associated with an increased risk of complications development.

All-cause mortality and estimated renal function in type 2 diabetes mellitus outpatients: Is there a relationship with the equation used?

BACKGROUND: We investigated the relationship between serum creatinine (SCr) and estimated glomerular filtration rate (eGFR), evaluated by different formulae, and all-cause mortality (ACM) in type 2 diabetes mellitus (T2DM) outpatients. METHODS: This observational cohort study considered 1365 T2DM outpatients, who had been followed up for a period of up to 11 years. eGFR was estimated using several equations. RESULTS: Seventy subjects (5.1%) died after a follow-up of 9.8 ± 3 years. Univariate analysis showed that diagnosis of nephropathy (odds ratio (OR): 2.554, 95% confidence interval (CI): 1.616-4.038, p < 0.001) and microvascular complications (OR: 2.281, 95% CI: 1.449-3.593, p < 0.001) were associated with ACM. Receiving operating characteristic (ROC) curves showed that the areas under the curve for ACM were similar using the different eGFR equations. eGFR values were predictors of ACM, and the hazard ratios (HRs) of the different equations for eGFR estimation were similar. CONCLUSION: In our cohort of T2DM outpatients, different eGFR equations perform similarly in predicting ACM, whereas SCr did not.