Urinary Sodium Concentration Is an Independent Predictor of All-Cause and Cardiovascular Mortality in a Type 2 Diabetes Cohort Population - Sorbonne Université Access content directly
Journal Articles Journal of diabetes research Year : 2017

Urinary Sodium Concentration Is an Independent Predictor of All-Cause and Cardiovascular Mortality in a Type 2 Diabetes Cohort Population

Abstract

Objective: Sodium intake is associated with cardiovascular outcomes. However, no study has specifically reported an association between cardiovascular mortality and urinary sodium concentration (). We examined the association of with mortality in a cohort of type 2 diabetes (T2D) patients. Methods. Patients were followed for all-cause death and cardiovascular death. Baseline was measured from second morning spot urinary sample. We used Cox proportional hazard models to identify independent predictors of mortality. Improvement in prediction of mortality by the addition of to a model including known risk factors was assessed by the relative integrated discrimination improvement (rIDI) index. Results: Participants (,439) were followed for a median of 5.7 years, during which 254 cardiovascular deaths and 429 all-cause deaths were recorded. independently predicted all-cause and cardiovascular mortality. An increase of one standard deviation of was associated with a decrease of 21% of all-cause mortality and 22% of cardiovascular mortality. improved all-cause and cardiovascular mortality prediction beyond identified risk factors (rIDI = 2.8%, and rIDI = 4.6%, , resp.). Conclusions: In T2D, was an independent predictor of mortality (low concentration is associated with increased risk) and improved modestly its prediction in addition to traditional risk factors.
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hal-01496626 , version 1 (27-03-2017)

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Pierre-Jean Saulnier, Elise Gand, Stéphanie Ragot, Lise Bankir, Xavier Piguel, et al.. Urinary Sodium Concentration Is an Independent Predictor of All-Cause and Cardiovascular Mortality in a Type 2 Diabetes Cohort Population. Journal of diabetes research, 2017, pp.5327352. ⟨10.1155/2017/5327352⟩. ⟨hal-01496626⟩
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