1. Department of Military Medical Geography, Army Medical Service Training Base, Army Medical University
2. Battalion 5 of Cadet Brigade, Army Medical University
3. Key Laboratory of High Altitude Environmental Medicine of PLA, Army Medical University
纸质出版:2019
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Association between acute mountain sickness(AMS) and age: a meta-analysis[J]. 解放军医学杂志(英文版), 2019,6(1):31-38.
[1]Yu Wu,Chi Zhang,Yu Chen,Yong-Jun Luo.Association between acute mountain sickness(AMS) and age: a meta-analysis[J].Military Medical Research,2019,6(01):31-38.
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 and3014
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).Conclusions: 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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