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Prospective cohort study shows reduced kidney filtration and elevated albumin excretion independently predict mortality in type 2 diabetes, highlighting the value of dual screening.
Objective Our aim was to assess the usefulness of glomerular filtration rate (GFR) and urinary albumin excretion (UAE) to predict the risk of mortality in patients with type 2 diabetes mellitus. Material and methods This is a prospective cohort study in patients with type 2 diabetes mellitus. Clinical end-point was mortality rate. GFR was measured in ml/min/1.73 m 2 and stratified in 3 categories (≥60; 45–59; <45); UAE was measured in mg/24 h and was also stratified in 3 categories (<30; 30–300; >300). Mortality rates were reported per 1000 patient-years. Cox regression models were used to predict mortality risk associated with combined GFR and UAE. The predictive power was estimated with C-Harrell statistic. Results A total of 453 patients (39.3% males), aged 64.9 (SD 9.3) years were included; mean diabetes duration was 10.4 (SD 7.5) years. Median follow-up was 13 years. Total mortality rate was 39.5/1000. The progressive increase in mortality in the successive categories of GFR and UAE was statistically significant ( P < .001). In a multivariable analysis, UAE (HR30-300 = 1.02 and HR > 300 = 2.83; χ 2 = 11.6; P = .003) and GFR (HR45-59 = 1.34 and HR < 45 = 1.84; χ 2 = 6.4; P = .041) were independent predictors for mortality, with no significant interaction. Simultaneous inclusion of GFR and UAE improved the predictive power of models (C-Harrell 0.741 vs. 0.726; P = .045). Conclusions GFR and UAE are independent predictors for mortality in type 2 diabetic patients and do not show a statistically significant interaction.
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Gimeno-Orna et al. (2015) studied this question.
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