Chronic Kidney Diseases
Conditions
Keywords
salt diet, potassium diet, prediction tools, Bayesian network, kidney disease, epidemiology
Brief summary
There is no validated self-questionnaire to assess salt and potassium intake in nephrology patients. Using Bayesian models, researchers developed clinical prediction tools to estimate salt and potassium intake in nephrology patients. These prediction tools performed well, with an accuracy of 89% for salt and 74% for potassium, and have undergone internal validation. Currently, the investigators wish to conduct an external validation study of these clinical prediction tools using data from patients followed at 3 nephrologic centers to generalize the performance results of the tools.
Interventions
OTHERadministration questionary
Questionnaire will be compared to 24h sodium and potassium urinary excretion (reference). A Bayesian network and a multiple regression will be used to validate the questionary
Sponsors
Hospices Civils de Lyon
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Male or female 18 years of age or older * Consultant or inpatient in the nephrology department * Having performed a 24-hour urinary assessment as part of his usual management with analysis of natriuresis and/or kaliuresis.
Exclusion criteria
* Patient having lost salt by vomiting, diarrhea and intense sweating (sport) in the week preceding the 24-hour urine collection. * Person protected by the french law
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| External multicenter validation questionary | at inclusion | comparison of answers to the questionnaire about salt and potassium diet with natriuresis and kaliuresis urinary excretion during 24 hours administrated in 3 centres in nephrology in France |
Countries
France
Outcome results
None listed