Total and cardiovascular mortality risk according to KDIGO guidelines classification in type 2 diabetic patients. / Riesgo de mortalidad total y cardiovascular según la clasificación propuesta por las guías KDIGO en pacientes con diabetes tipo 2.

BACKGROUND AND AIMS: Our aim was to assess the usefulness of KDIGO 2012 risk classification to predict total and cardiovascular mortality in type 2 diabetes mellitus (DM2). MATERIAL AND METHODS: Prospective cohort study that included DM2 patients. Clinical end-points were total and cardiovascular mortality. The main predictive variable was KDIGO risk classification, which is a combination of urinary albumin excretion and glomerular filtration rate. The predictive value was evaluated by the integrated discrimination improvement (IDI) index. RESULTS: 453 patients (39.3% males, aged 64.9 [SD 9.3] and with a mean diabetes duration of 10.4 [SD 7.5] years) were included. During a median follow-up of 13 years, mortality rates per 1000 patients/year (26.5 vs. 45.1 vs. 79,2 vs. 109,8; p<0,001) and cardiovascular mortality (8.1 vs. 17.4 vs. 24.7 vs. 57.5; p<0,001) were progressively increased in successive KDIGO categories. In the multivariate analysis, there was also a progressive increase of mortality risk (HR[moderate risk]=1.29; HR[high risk])=1.83; HR[very high risk]=2.15; p=.016) and cardiovascular mortality risk (HR[moderate risk]=1.73; HR[high risk]=2.27; HR[very high risk]=4.22; p=.007) in the successive categories. KDIGO classification was able to improve the mortality risk prediction (IDI=0.00888; p=.047) and cardiovascular mortality risk prediction (IDI=0.01813; p=.035). CONCLUSIONS: KDIGO risk classification can effectively stratify total and cardiovascular mortality risk in DM2 patients.

Risk of mortality associated to chronic kidney disease in patients with type 2 diabetes mellitus: a 13-year follow-up.

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 m2 and stratified in 3 categories (≥60; 45-59; <45); UAE was measured in mg/24hours 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; X2=11.6; P =.003) and GFR (HR45-59=1.34 and HR<45=1.84; X2=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.

[Morbidity and mortality cardiovascular risk in dependence of type 2 diabetes duration]. / Riesgo de morbimortalidad cardiovascular según el tiempo de evolución de la diabetes tipo 2.

INTRODUCTION: This study was aimed to assess the prognostic importance of diabetes duration to predict cardiovascular risk in type 2 diabetic patients. METHODS: Prospective cohort study with inclusion of type 2 diabetic patients. Follow-up lasted until the appearance of a cardiovascular event, until death or until 2012. Patients were classified into 5 groups in accordance to diabetes duration and baseline cardiovascular disease (CVD): group 1: ≤ 5 years without CVD; group 2: 6-10 years without CVD; group 3: 11-15 years without CVD; group 4: >15 years without CVD; group 5: baseline CVD independently of diabetes duration. CVD rates were expressed per 1000 patients-year and compared by Kaplan-Meier analysis and Log Rank Test. The predictive power of diabetes duration was evaluated by Cox regression. RESULTS: 457 patients, aged 64.9 (DE 9.3) years (38.9% males), were included. Diabetes duration was 10.5 (DE 7.6) years. 125 cardiovascular events occurred during 12.3 years follow-up. Cardiovascular event rates were progressively increased from groups 1 to 5 (group 1: 14.1; group 2: 18.3; group 3: 19.6; group 4: 32.9; group 5: 53.5; p<0.0001, linear tendency). Diabetes duration superior to 15 years significantly increased cardiovascular risk of the patients (HR=1.97; 95%CI: 1.23-3.15; P=.004). CONCLUSIONS: It could be useful to consider diabetes duration in order to stratify cardiovascular risk of type 2 diabetic patients.