Prediction models of albumin renal excretion in type 2 diabetes mellitus patients

Abstract

Microalbuminuria is a cardiovascular risk factor in type 2 diabetes mellitus patients. It is very important to know which the predictor factors for albuminuria are, because these elements may be influenced by pharmacological measures. In our study we propose three models for the prediction of albumin glomerular excretion in a group of 446 type 2 diabetes mellitus patients: the clinical-biochemical model, the pharmacological model, and the integrative model that reunites the two models. In the clinical-biochemical model, albumin excretion was statistically significant influenced by HbA1c (positive correlation) and blood pressure (positive correlation). In the pharmacological model, albumin excretion was influenced by angiotensin converting enzyme inhibitors or angiotensin II receptor blockers treatment (negative correlation). In the integrative model, the factors were HbA1c (positive correlation), diastolic blood pressure (positive correlation), angiotensin converting enzyme inhibitors or angiotensin II receptor blockers treatment (negative correlation) and statins treatment (negative correlation). The prevalence of microalbuminuria was 16.14 %. Patients with microalbuminuria had statistically significant higher values of HbA1c, systolic blood pressure, diastolic blood pressure, triglycerides and lower values of HDL-cholesterol. A low glucose control was the most important risk factor for an increased albumin glomerular elimination. The importance of our study consists in the fact that all the elements that predict albuminuria can be influenced: HbA1c, blood pressure, therapy with angiotensin converting enzyme inhibitors or angiotensin II receptor blockers and statins.