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Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents
BACKGROUND: Screening for elevated serum alanine aminotransferase (ALAT) can help identifying individuals at the risks of chronic and metabolic diseases, but blood collection is invasive and cannot be widely used for investigations. Considered as simple and inexpensive screening indices, individual...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082986/ https://www.ncbi.nlm.nih.gov/pubmed/32197600 http://dx.doi.org/10.1186/s12887-020-02033-9 |
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author | Ou, Yu-Lan Lai, Yue-Rong Jiang, Chao-Nan Zhang, Jing Ding, Zan |
author_facet | Ou, Yu-Lan Lai, Yue-Rong Jiang, Chao-Nan Zhang, Jing Ding, Zan |
author_sort | Ou, Yu-Lan |
collection | PubMed |
description | BACKGROUND: Screening for elevated serum alanine aminotransferase (ALAT) can help identifying individuals at the risks of chronic and metabolic diseases, but blood collection is invasive and cannot be widely used for investigations. Considered as simple and inexpensive screening indices, individual characteristics and anthropometric measurements can be measured in a large crowd and may be important surrogate markers for ALAT levels. This study aimed to examine the diagnostic performance of individual characteristics and anthropometric parameters as predictive factors for discerning an elevated ALAT activity among Shenzhen children and adolescents. METHODS: A school-based screening study was performed from 9 high schools in Shenzhen during February 2017 and June 2018. Receiver operating characteristic curve was used to examine the diagnostic performance of each variable for detecting elevated ALAT. RESULTS: Altogether 7271 students aged 9–17 years were involved. The proportion of elevated ALAT greatly increased with increasing classification of BMI-z. By the sex-specific cut-offs for elevated ALAT (30 U/L boys; 19 U/L girls), BMI showed the highest area under the curve of 0.789 (95% CI 0.765–0.812) and followed by weight (0.779 [0.755–0.802]), BMI-z (0.747 [0.722–0.772]), height (0.622 [0.597–0.647]), and age (0.608 [0.584–0.632]), while height-z was not capable. With the cut-off of 67.8 kg for weight and 22.6 kg/m(2) for BMI, the accuracy to identify elevated ALAT was 87.1% for weight and 82.9% for BMI. CONCLUSIONS: The presence of elevated ALAT was more common in overweight or obese children and adolescents. BMI and weight had the superiority of detecting elevated ALAT, followed by BMI-z, height, and age. |
format | Online Article Text |
id | pubmed-7082986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70829862020-03-23 Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents Ou, Yu-Lan Lai, Yue-Rong Jiang, Chao-Nan Zhang, Jing Ding, Zan BMC Pediatr Research Article BACKGROUND: Screening for elevated serum alanine aminotransferase (ALAT) can help identifying individuals at the risks of chronic and metabolic diseases, but blood collection is invasive and cannot be widely used for investigations. Considered as simple and inexpensive screening indices, individual characteristics and anthropometric measurements can be measured in a large crowd and may be important surrogate markers for ALAT levels. This study aimed to examine the diagnostic performance of individual characteristics and anthropometric parameters as predictive factors for discerning an elevated ALAT activity among Shenzhen children and adolescents. METHODS: A school-based screening study was performed from 9 high schools in Shenzhen during February 2017 and June 2018. Receiver operating characteristic curve was used to examine the diagnostic performance of each variable for detecting elevated ALAT. RESULTS: Altogether 7271 students aged 9–17 years were involved. The proportion of elevated ALAT greatly increased with increasing classification of BMI-z. By the sex-specific cut-offs for elevated ALAT (30 U/L boys; 19 U/L girls), BMI showed the highest area under the curve of 0.789 (95% CI 0.765–0.812) and followed by weight (0.779 [0.755–0.802]), BMI-z (0.747 [0.722–0.772]), height (0.622 [0.597–0.647]), and age (0.608 [0.584–0.632]), while height-z was not capable. With the cut-off of 67.8 kg for weight and 22.6 kg/m(2) for BMI, the accuracy to identify elevated ALAT was 87.1% for weight and 82.9% for BMI. CONCLUSIONS: The presence of elevated ALAT was more common in overweight or obese children and adolescents. BMI and weight had the superiority of detecting elevated ALAT, followed by BMI-z, height, and age. BioMed Central 2020-03-20 /pmc/articles/PMC7082986/ /pubmed/32197600 http://dx.doi.org/10.1186/s12887-020-02033-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ou, Yu-Lan Lai, Yue-Rong Jiang, Chao-Nan Zhang, Jing Ding, Zan Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
title | Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
title_full | Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
title_fullStr | Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
title_full_unstemmed | Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
title_short | Diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
title_sort | diagnostic performance of individual characteristics and anthropometric measurements in detecting elevated serum alanine aminotransferase among children and adolescents |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082986/ https://www.ncbi.nlm.nih.gov/pubmed/32197600 http://dx.doi.org/10.1186/s12887-020-02033-9 |
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