Rawshani A, et al. – Via analysis of the Swedish National Diabetes Register (1998-2014), researchers performed a national observational cohort study including 32,611 patients with type 1 diabetes in order to evaluate relative prognostic significance of 17 risk factors for death and cardiovascular outcomes by using Cox regression and machine learning analyses. For glycated hemoglobin, systolic blood pressure, and low-density lipoprotein cholesterol, optimal cut-point levels were also investigated. The factors that showed the greatest utility in predicting mortality and cardiovascular outcomes in patients with type 1 diabetes included glycated hemoglobin, albuminuria, duration of diabetes, systolic blood pressure, and low-density lipoprotein cholesterol. A significantly lower risk for outcomes (death from all causes, fatal/non-fatal acute myocardial infarction, fatal/non-fatal stroke, and hospitalization for heart failure) was observed in relation to lower levels for glycated hemoglobin, systolic blood pressure, and low-density lipoprotein cholesterol vs contemporary guideline target levels.