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

作     者：Yu Wu Chi Zhang Yu Chen Yong-Jun Luo 

作者机构：Department of Military Medical Geography Army Medical Service Training Base Army Medical University Battalion 5 of Cadet Brigade Army Medical University Key Laboratory of High Altitude Environmental Medicine of PLA Army Medical University 

出 版 物：《Military Medical Research》 (军事医学研究（英文版）)

年 卷 期：2019年第6卷第1期

页      面：31-38页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China(No.81571843 and No.41201090) 

主　　题：Meta-analysis Age Acute mountain sickness Individual susceptibility 

摘      要：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 ***: 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 *** 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 ***: 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.