Unknown

Dataset Information

Comparison of four algorithms on establishing continuous reference intervals for pediatric analytes with age-dependent trend.


ABSTRACT:

Background

Continuous reference intervals (RIs) allow for more precise consideration of the dynamic changes of physiological development, which can provide new strategies for the presentation of laboratory test results. Our study aimed to establish continuous RIs using four different simulation methods so that the applicability of different methods could be further understood.

Methods

The data of alkaline phosphatase (ALP) and serum creatinine (Cr) were obtained from the Pediatric Reference Interval in China study (PRINCE), in which healthy children aged 0-19 years were recruited. The improved non-parametric method, the radial smoothing method, the General Additive Model for Location Scale and Shape (GAMLSS), and Lambda-Median-Sigma (LMS) were used to develop continuous RIs.

SUBMITTER: Li K 

PROVIDER: S-EPMC7268336 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature