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Association between acute mountain sickness (AMS) and age: a meta-analysis

BACKGROUND: Acute mountain sickness (AMS) is a potentially lethal condition caused by acute hypoxia after ascending to altitudes higher than 2500 m in a short time. The main symptom of AMS is headache. Numerous risk factors of AMS have been examined, including gender, obesity, ascent rate, age and i...

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Autores principales: Wu, Yu, Zhang, Chi, Chen, Yu, Luo, Yong-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946480/
https://www.ncbi.nlm.nih.gov/pubmed/29747689
http://dx.doi.org/10.1186/s40779-018-0161-x
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author Wu, Yu
Zhang, Chi
Chen, Yu
Luo, Yong-Jun
author_facet Wu, Yu
Zhang, Chi
Chen, Yu
Luo, Yong-Jun
author_sort Wu, Yu
collection PubMed
description BACKGROUND: Acute mountain sickness (AMS) is a potentially lethal condition caused by acute hypoxia after ascending to altitudes higher than 2500 m in a short time. The main symptom of AMS is headache. Numerous risk factors of AMS have been examined, including gender, obesity, ascent rate, age and individual susceptibility. In previous studies, age was considered a predisposing factor for AMS. However, different opinions have been raised in recent years. To clarify the association between AMS and age, we conducted this meta-analysis. METHODS: We obtained observational studies that explored risk factors for AMS by searching PubMed, Embase, China National Knowledge Internet (CNKI), the Wanfang database and CQVIP for articles published before March 2017. The studies included were required to provide the mean age and its standard deviation for subjects with and without AMS, the maximum altitude attained and the mode of ascent. The Lake Louse Score (LLS) or the Chinese AMS score (CAS) was used to judge the severity of AMS symptoms and incidence. Studies were pooled for the analysis by using a random effects model in RevMan 5.0. Meta-regression and subgroup analyses were conducted to identify sources of heterogeneity using Stata 14.2 and RevMan 5.0. RESULTS: In total, 17 studies were included, and the overall number of subjects with and without AMS was 1810 and 3014, respectively. The age ranged from 10 to 76 years. Analysis of the 17 included studies showed that age was not associated with AMS (mean difference (MD) = 0.10; 95% CI: -0.38-0.58; P = 0.69). CONCLUSION: This meta-analysis suggests that there is no association between age and the risk of AMS. Race, age, and ascent mode are common sources of heterogeneity, which may provide an analytical orientation for future heterogeneity analyses.
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spelling pubmed-59464802018-05-18 Association between acute mountain sickness (AMS) and age: a meta-analysis Wu, Yu Zhang, Chi Chen, Yu Luo, Yong-Jun Mil Med Res Research BACKGROUND: Acute mountain sickness (AMS) is a potentially lethal condition caused by acute hypoxia after ascending to altitudes higher than 2500 m in a short time. The main symptom of AMS is headache. Numerous risk factors of AMS have been examined, including gender, obesity, ascent rate, age and individual susceptibility. In previous studies, age was considered a predisposing factor for AMS. However, different opinions have been raised in recent years. To clarify the association between AMS and age, we conducted this meta-analysis. METHODS: We obtained observational studies that explored risk factors for AMS by searching PubMed, Embase, China National Knowledge Internet (CNKI), the Wanfang database and CQVIP for articles published before March 2017. The studies included were required to provide the mean age and its standard deviation for subjects with and without AMS, the maximum altitude attained and the mode of ascent. The Lake Louse Score (LLS) or the Chinese AMS score (CAS) was used to judge the severity of AMS symptoms and incidence. Studies were pooled for the analysis by using a random effects model in RevMan 5.0. Meta-regression and subgroup analyses were conducted to identify sources of heterogeneity using Stata 14.2 and RevMan 5.0. RESULTS: In total, 17 studies were included, and the overall number of subjects with and without AMS was 1810 and 3014, respectively. The age ranged from 10 to 76 years. Analysis of the 17 included studies showed that age was not associated with AMS (mean difference (MD) = 0.10; 95% CI: -0.38-0.58; P = 0.69). CONCLUSION: This meta-analysis suggests that there is no association between age and the risk of AMS. Race, age, and ascent mode are common sources of heterogeneity, which may provide an analytical orientation for future heterogeneity analyses. BioMed Central 2018-05-11 /pmc/articles/PMC5946480/ /pubmed/29747689 http://dx.doi.org/10.1186/s40779-018-0161-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Wu, Yu
Zhang, Chi
Chen, Yu
Luo, Yong-Jun
Association between acute mountain sickness (AMS) and age: a meta-analysis
title Association between acute mountain sickness (AMS) and age: a meta-analysis
title_full Association between acute mountain sickness (AMS) and age: a meta-analysis
title_fullStr Association between acute mountain sickness (AMS) and age: a meta-analysis
title_full_unstemmed Association between acute mountain sickness (AMS) and age: a meta-analysis
title_short Association between acute mountain sickness (AMS) and age: a meta-analysis
title_sort association between acute mountain sickness (ams) and age: a meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946480/
https://www.ncbi.nlm.nih.gov/pubmed/29747689
http://dx.doi.org/10.1186/s40779-018-0161-x
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