Abstract

To investigate and establish a reference interval (RI) of neuron-specific enolase (NSE) in southwest China’s healthy population by using the laboratory information system database. A total of 86957 periodic health examination individuals of the medical examination center in West China Hospital from 2016 to 2018 were included in the study. We used the Box-Cox conversion combined with the Tukey method to normalize the data and eliminate the outliers, and the normal distribution method and the nonparametric method to estimate the 95% distribution RI. The NSE 95% distribution RI we established in healthy populations in southwest China through normal distribution and nonparametric method were 0–19.64 ng/ml and 0–20.46 ng/ml, respectively. The obtained RIs verification conformed to the standard and was significantly different from the reagent instruction(P < 0.05). The RI established by the nonparametric method was superior to the RI of the normal distribution method and reagent instruction(P < 0.05). We initially established an NSE RI that was suitable for the healthy southwest China population. The Box-Cox conversion combined with the Tukey method and nonparametric method is a reliable and straightforward indirect method for reference interval acquisition, which is suitable for the promotion and application of clinical laboratory.

Details

Title
The establishment of neuron-specific enolase reference interval for the healthy population in southwest China
Author
Miao Qiang 1 ; Cai Bei 1 ; Gao Xuedan 1 ; Su Zhenzhen 1 ; Zhang, Junlong 1 

 Department of Laboratory Medicine/ Research Center of Clinical Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2389699434
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.