Medrano Navarro, Ana LidiaJustel Enríquez, AliciaAlameda Serrano, JavierBlasco Lamarca, YolandaSáenz Abad, DanielGimeno Orna, José Antonio2023-01-252023-01-252019-03-15http://hdl.handle.net/10668/13729Our aim was to assess the usefulness of KDIGO 2012 risk classification to predict total and cardiovascular mortality in type 2 diabetes mellitus (DM2). 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. 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 KDIGO risk classification can effectively stratify total and cardiovascular mortality risk in DM2 patients.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Diabetes mellitusPrognosisPronósticoSupervivenciaSurvivalAdultAlbuminuriaAnalysis of VarianceCardiovascular DiseasesCause of DeathChi-Square DistributionCreatineDiabetes Mellitus, Type 2FemaleGlomerular Filtration RateGuidelines as TopicHumansMaleMiddle AgedProspective StudiesRenal Insufficiency, ChronicReproducibility of ResultsRisk AssessmentSex FactorsStatistics, NonparametricStrokeresearch article30885544open access10.1016/j.medcli.2019.01.0181578-8989https://zaguan.unizar.es/record/88212/files/texto_completo.pdf