Table 3.

Multivariable linear regression analysis: Independent predictors of annual eGFR decline in patients with type 2 diabetes and preserved kidney function

ParameterStandardized CoefficientP Value
Sex (male versus female)0.010.73
Age (yr)−0.07<0.05
Diabetes duration (yr)−0.050.10
Body mass index (kg/m2)−0.050.10
Hemoglobin A1c (%)−0.040.25
Prior cardiovascular disease (yes/no)−0.010.65
Hypertension (yes/no)−0.10<0.001
Insulin therapy (yes/no)−0.10<0.001
Baseline eGFR (ml/min per 1.73 m2)−0.07<0.05
Albuminuria (mg/d)−0.16<0.001
  • The cohort size totaled 1682 participants. Hypertension was defined as BP ≥140/90 mmHg or any antihypertensive drug treatment. In this multivariable linear regression model the dependent variable was the annual eGFR decline, which was included as a continuous measure. Standardized coefficients or β coefficients are the estimates resulting from an analysis carried out on variables that have been standardized so that their variances are 1. Therefore, standardized coefficients refer to how many SDs a dependent variable will change, per SD increase (or decrease) in the predictor variable. eGFR, estimated GFR.