Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03204422 |
Other study ID # |
17JL85 |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
February 1, 2017 |
Est. completion date |
December 31, 2021 |
Study information
Verified date |
February 2022 |
Source |
Beijing Children's Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The accurate evaluation of daily salt or sodium intake is difficult to implement in clinical
practice and large epidemiological studies. 24-h urinary sodium excretion (USE) is considered
the gold standard, but is expensive and has a high participant burden. To further explore the
association between 24-h USE and spot urines in Chinese population, it was proposed that
using collected multiple spot urine samples could be estimated for 24-h USE in Chinese
children and adults.
Description:
Specific Aims
1. To collect multiple spot urine samples and a 24-h urine sample in a population of
Chinese Children and adults. All participants will collect a spot urine in separate jugs
during the 24-h period, recording every urination time.
2. Validate previous finding that 24-h USE is estimated inaccurately by using only the
second morning void.
3. Explore a statistical formula to estimate 24-h USE by multi-time spot urine. The study
plan to enroll 200 children and 100 adults to collect a whole 24-h urine spot by spot
continuously. After a laboratory examination of sodium concentration from both spot
urine samples and 24-h urine sample, the exploratory estimation using multi-spot urine
to assess 24-h urinary sodium excretion will analyzed statistically. The validation for
the estimation method will be conducted in Chinese population as well.
Urine sodium and potassium concentration in each urine specimen will be determined by ion
selective electrode methods and creatinine using enzymatic methods.The model established by
using linear model step by step. And the validation analysis conducted through correlation
analysis, bias distribution, residual analysis and Bland-Altman plot to assess accuracy. All
statistics analysis will be conducted using Statistical Analysis System software version 9.4.