大气PM2.5暴露与帕金森病关系的meta分析

Airborne PM2.5 and Parkinson's disease: An updated meta-analysis

  • 摘要:
    背景 现有研究提示大气细颗粒物(PM2.5)暴露与帕金森病(PD)可能存在关联,但目前的流行病学研究结论尚不一致。
    目的 系统评价大气PM2.5暴露与PD发病风险的相关性,并探讨可能的影响因素,以期为PD早期预防策略的制定提供相关信息。
    方法 检索The Cochrane Library、PubMed、Web of Science、Medline、Embase、中国知网(CNKI)、万方和维普中文科技期刊数据库,检索词包括:帕金森病、PM2.5、细颗粒物、Parkinson’ disease、particulate matter 2.5。搜集关于大气中PM2.5暴露与PD发生风险相关的队列研究,从各数据库建库检索至2023年6月26日。对文献进行筛选,提取纳入研究及其研究对象的基本信息、各研究的结局指标和结果测量数据以及主要偏倚风险的评估内容,用纽卡斯尔-渥太华量表评估纳入队列研究的文献质量,并使用Stata 15.0对数据进行meta分析、亚组分析、敏感性分析及发表偏倚风险评估。
    结果 经筛选,纳入队列研究数12个,包括17443136例参与者,随访时间为3.5~22年,采用随机效应模型进行meta分析,结果显示:大气中PM2.5暴露可使PD的发生风险增加6%HR=1.06(95%CI:1.02~1.11),P=0.006。亚组分析结果显示:大气PM2.5的暴露使北美和东亚地区人群PD的发生风险分别增加6%HR=1.06(95%CI:1.00~1.12),P=0.033和17%HR=1.17(95%CI:1.02~1.33),P=0.020,但对欧洲人群的影响无统计学意义。与平均年龄<60岁人群不同,平均年龄≥60岁人群在PM2.5暴露后,PD的发生风险可升高7%HR=1.07(95%CI:1.02~1.14),P=0.011。不同质量浓度(简称浓度)的PM2.5暴露均能增加PD的发生风险。是否校正PD相关合并症不影响大气PM2.5暴露可增加PD发生风险的结论。随访时间≥5年、PD发生数≥1000例的纳入研究提示大气PM2.5暴露可显著增加PD的发生风险HR=1.06(95%CI:1.01~1.12),P=0.012;HR=1.06(95%CI:1.01~1.11),P=0.027,相反地,随访时间<5年、PD发生数<1000例组的大气PM2.5暴露与PD发生风险间的相关性没有显著性差异HR=1.09(95%CI:0.95~1.26),P=0.214;HR=1.12(95%CI:0.98~1.02),P=0.092。敏感性分析结果显示本研究结果具有较好的稳定性。发表偏倚风险评估联合剪补法结果显示本研究结果稳健。
    结论 大气中PM2.5暴露可增加PD的发病风险,不同地区和年龄是影响PD发生风险的因素,随访时间和纳入的PD发生数可能影响研究结果。

     

    Abstract:
    Background An association between atmospheric fine particulate matter (PM2.5) exposure and Parkinson's disease (PD) has been suggested by previous studies, but the results of current epidemiological studies are still inconclusive.
    Objective To systematically evaluate the relationship between exposure to ambient PM2.5 and the risk of PD, as well as to explore potential influencing factors, aiming to provide scientific evidence for formulating early prevention strategies for PD.
    Methods Cochrane Library, PubMed, Web of Science, Medline, Embase, China National Know-ledge Infrastructure (CNKI), Wanfang Database, and VIP Chinese Science and Technology Journal Database were queried. The search terms included Parkinson's disease, particulate matter 2.5, and PM2.5 in both Chinese and English. Cohort studies examining the association between atmospheric PM2.5 exposure and the risk of PD were collected and searched from the inception of each database to June 26, 2023. The identified literature was screened, and the basic information of the included studies and their research subjects, outcome indicators, quantitative results of each study, as well as the information required by bias risk assessment were extracted. The Newcastle-Ottawa Scale was employed to assess the risk of literature bias. Meta-analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were conducted in Stata 15.0 software.
    Results Twelve cohort studies were identified. A total of 17443136 participants with follow-up periods ranging from 3.5 to 22 years were included in the analysis. The meta-analysis, utilizing a random-effects model, revealed that PD risk was elevated by 6% after exposure to PM2.5 HR=1.06 (95%CI: 1.02, 1.11), P=0.006. The subgroup analysis demonstrated that exposure to PM2.5 increased PD risk by 6% in North America HR=1.06 (95%CI: 1.00, 1.12), P=0.033 and by 17% in East Asia HR=1.17 (95%CI: 1.02, 1.33), P=0.020. However, the effect was not statistically significant in Europe. PD risk exhibited a 7% rise HR=1.07 (95%CI: 1.02, 1.14), P=0.011 in individuals aged 60 years and older, which was different from that in individuals younger than 60 years. Exposure to various concentrations of PM2.5 was observed to associate with an elevated risk of PD. The inclusion of adjustments for PD-related comorbidities did not alter the conclusion that ambient PM2.5 exposure might elevate the risk of PD. The studies with a follow-up duration exceeding 5 years and reporting more than 1000 PD cases suggested a significant increase in the risk of PD due to ambient PM2.5 exposure HR=1.06 (95%CI: 1.01, 1.12), P=0.012; HR=1.06 (95%CI: 1.01, 1.11), P=0.027, respectively. Conversely, no significant association was identified between ambient PM2.5 exposure and the risk of PD within the cohorts with a follow-up duration of less than 5 years and reporting fewer than 1000 PD cases HR=1.09 (95%CI: 0.95, 1.26), P=0.214; HR=1.12 (95%CI: 0.98, 1.02), P=0.092, respectively. The sensitivity analysis showed that the results were stable. The publication bias analysis and the combined trim-and-fill method showed that the results were robust.
    Conclusion The risk of PD could be increased by ambient PM2.5 exposure and influenced by age and area. The research results might be affected by the duration of follow-up and the quantity of PD cases reported.

     

/

返回文章
返回