Estimated insulin sensitivity predicts regression of albuminuria in Type 1 diabetes.

Aim To test the hypothesis that greater baseline insulin sensitivity would predict regression of albuminuria over 6 years in adults with Type 1 diabetes. Method We enrolled 81 people aged 30-48 years with albuminuria at baseline in the present study and re-examined them 6 years later. Urinary albumin excretion rate was measured and albuminuria was defined as urinary albumin excretion rate ≥ 20 μg/min. Regression of albuminuria was defined as normoalbuminuria (urinary albumin excretion rate < 20 μg/min) at follow-up. Predictors of regression of albuminuria were examined in stepwise logistic regression. The variables age, diabetes duration, sex, serum uric acid, HbA1c, systolic blood pressure, LDL cholesterol, HDL cholesterol, BMI, baseline albumin excretion rate, estimated insulin sensitivity at baseline, change in estimated insulin sensitivity from baseline to follow-up and angiotensin-converting enzyme inhibitor/angiotensin receptor blocker use were considered for inclusion in the model. Results Estimated insulin sensitivity was significantly higher at both baseline (4.6 ± 1.2 vs 3.4 ± 1.7; P = 0.002) and follow-up (5.2 ± 1.9 vs. 3.5 ± 1.7; P < 0.0001) in people who had regression of albuminuria vs those who did not. HbA1c (odds ratio 0.4, 95% CI 0.2-0.8; P = 0.006), estimated insulin sensitivity (odds ratio 2.5, 95% CI 1.3-4.9; P = 0.006) at baseline and change in estimated insulin sensitivity from baseline to follow-up (odds ratio 2.7, 95% CI 1.4-5.3; P = 0.003) were independently associated with regression of albuminuria in a multivariable stepwise model. Conclusions In conclusion, over 6 years, higher baseline estimated insulin sensitivity and change in estimated insulin sensitivity independently predicted regression of albuminuria. Improving insulin sensitivity in people with Type 1 diabetes is a potential therapeutic target to increase rates of regression of albuminuria. [ABSTRACT FROM AUTHOR]