Objective. @entity1372 intake is associated with cardiovascular outcomes. However, no study has specifically reported an association between cardiovascular mortality and urinary @entity1372 concentration (UNa). We examined the association of UNa with mortality in a cohort of @entity2175 ( @entity2175 ) @entity1 . Methods. @entity1 were followed for all-cause @entity204 and @entity65 . Baseline UNa 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 UNa to a model including known risk factors was assessed by the relative integrated discrimination improvement (rIDI) index. Results. @entity1 (n = 1,439) were followed for a median of 5.7 years, during which 254 cardiovascular @entity204 and 429 all-cause @entity204 were recorded. UNa independently predicted all-cause and cardiovascular mortality. An increase of one standard deviation of UNa was associated with a decrease of 21% of all-cause mortality and 22% of cardiovascular mortality. UNa improved all-cause and cardiovascular mortality prediction beyond identified risk factors (rIDI = 2.8%, P = 0.04 and rIDI = 4.6%, P = 0.02, resp.). Conclusions. In @entity2175 , UNa was an independent predictor of mortality (low concentration is associated with increased risk) and improved modestly its prediction in addition to traditional risk factors.

Urinary @entity1372 Concentration Is an Independent Predictor of All-Cause and Cardiovascular Mortality in a XXXX .

@entity2175 :: ('MESH:D003924', 'Disease') :: ['type 2 diabetes', 'T2D'] @entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'Participants'] @entity1372 :: ('MESH:D012964', 'Chemical') :: ['Sodium', 'sodium'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death', 'deaths'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular death']
@entity2175 :: (MESH:D003924,Disease) :: ['Type 2 Diabetes Cohort Population']
