Wang C, Feng J, Peng X, Liu X, Yan R, Peng Y. Chinese pediatric and adolescent reference intervals of vitamin E based on real-world physical examination data.
Clin Biochem 2023;
114:18-23. [PMID:
36690051 DOI:
10.1016/j.clinbiochem.2023.01.008]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/11/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
OBJECTIVES
To establish the reference interval (RI) of vitamin E for Chinese children and adolescents.
MATERIALS AND METHODS
Serum tocopherol samples were examined using high performance liquid chromatography in third-party clinical laboratory institutions. Using real-world data from multi-center clinical laboratory institutions in China, the distribution parameters of vitamin E levels were described and the RI was calculated using three algorithms.
RESULTS
A total of 756,766 cases were included in the analysis, including 435,561 males and 321,205 females. The median of vitamin E in infants younger than 4 years of age initially increased but subsequently decreased; while its levels in children between 4 and 11 years of age remained relatively stable despite progressing in age (approximately 7.4-7.8 mg/L). After the start of puberty, the difference, relative to sex, gradually became apparent, and the median vitamin E levels in females was higher than in males. The differences of vitamin E levels between different regions and samples in different seasons had no clinical significance. The RI of vitamin E for children aged 0-18 years in China was 4.5-11.1 mg/L based on expectation-maximization algorithm. The RI established by the Hoffmann method was 4.6-12.8 mg/L.
CONCLUSION
The age- and sex-specific RIs of vitamin E were established by an indirect approach. The RIs established by EM algorithms could be used as an alternative to establish RIs based on real-world data.
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