[Development and evaluation of ExSel Test to screen for excess salt intake in XXXX subjects].

@entity1 @entity101 @entity1372 @entity2286 @entity415
OBJECTIVE: Development of a test to screen excess salt intake (ESI) in @entity101 @entity1 . METHODS: @entity101 subjects living in Paris area have been included. A 24-hour urinary @entity1372 collection has been performed the day before the visit for a day hospital. A food diary was completed on the day of the urine collection and validated after an interview with a dietetician. An ESI was defined by a urinary @entity1372  >=   200mmol/d. Clinical or food characteristics associated to an ESI were retained for the ExSel Test variables. A ROC curve was performed to determine the optimal score for the ExSel Test in detection of ESI in @entity101 @entity1 . RESULTS: One hundred and forty-eight @entity101 @entity1 have been included living in the   le-de-France area. ESI was observed in 19% with a higher frequency in @entity1 . Seven major determinants of ESI have been identified and are the questions that constitute the ExSel Test. A positive response assigns points: @entity1 (1); BMI  >  30 (2); bread  4  or 5  pieces per day (1) or more than 6  pieces; cheese at least 1  time per day (2); charcuterie at least 2  times per week (2); use of processed broth or pilaf (1); food rich in hidden salt (pizza, cheeseburger, quiche, shrimp, @entity415 chips, smoked fish, olive) at least 2  times per week (1). The ROC curve analysis shows that a score of 5  or more has the best Youden index with a sensitivity of 0.63, specificity of 0.95, @entity2286 of 0.75, NPV of 0.92. CONCLUSIONS: In @entity101 subjects, an excessive salt intake can be detected by the realization of the ExSel Test based only on a simple food-questionnaire and some clinical parameters. For a clinical use of the ExSel Test, an electronic version is available on http://www.comitehta.org.
