Forastiere Francesco, Spadaro Joseph V, Ancona Carla, Jovanovic Andersen Zorana, Cozzi Ilaria, Gumy Sophie, Loncar Dejan, Mudu Pierpaolo, Medina Sylvia, Perez Velasco Roman, Walton Heather, Zhang Jiawei, Krzyzanowski Michal
National Research Council, IFT, Palermo, Italy.
Environmental Research Group, Imperial College, London, United Kingdom.
Environ Epidemiol. 2024 Jun 25;8(4):e314. doi: 10.1097/EE9.0000000000000314. eCollection 2024 Aug.
Air pollution health risk assessment (HRA) has been typically conducted for all causes and cause-specific mortality based on concentration-response functions (CRFs) from meta-analyses that synthesize the evidence on air pollution health effects. There is a need for a similar systematic approach for HRA for morbidity outcomes, which have often been omitted from HRA of air pollution, thus underestimating the full air pollution burden. We aimed to compile from the existing systematic reviews and meta-analyses CRFs for the incidence of several diseases that could be applied in HRA. To achieve this goal, we have developed a comprehensive strategy for the appraisal of the systematic reviews and meta-analyses that examine the relationship between long-term exposure to particulate matter with an aerodynamic diameter smaller than 2.5 µm (PM), nitrogen dioxide (NO), or ozone (O) and incidence of various diseases.
To establish the basis for our evaluation, we considered the causality determinations provided by the US Environmental Protection Agency Integrated Science Assessment for PM, NO, and O. We developed a list of pollutant/outcome pairs based on these assessments and the evidence of a causal relationship between air pollutants and specific health outcomes. We conducted a comprehensive literature search using two databases and identified 75 relevant systematic reviews and meta-analyses for PM and NO. We found no relevant reviews for long-term exposure to ozone. We evaluated the reliability of these studies using an adaptation of the AMSTAR 2 tool, which assesses various characteristics of the reviews, such as literature search, data extraction, statistical analysis, and bias evaluation. The tool's adaptation focused on issues relevant to studies on the health effects of air pollution. Based on our assessment, we selected reviews that could be credible sources of CRF for HRA. We also assessed the confidence in the findings of the selected systematic reviews and meta-analyses as the sources of CRF for HRA. We developed specific criteria for the evaluation, considering factors such as the number of included studies, their geographical distribution, heterogeneity of study results, the statistical significance and precision of the pooled risk estimate in the meta-analysis, and consistency with more recent studies. Based on our assessment, we classified the outcomes into three lists: list A (a reliable quantification of health effects is possible in an HRA), list B+ (HRA is possible, but there is greater uncertainty around the reliability of the CRF compared to those included on list A), and list B- (HRA is not recommended because of the substantial uncertainty of the CRF).
In our final evaluation, list A includes six CRFs for PM (asthma in children, chronic obstructive pulmonary disease, ischemic heart disease events, stroke, hypertension, and lung cancer) and three outcomes for NO (asthma in children and in adults, and acute lower respiratory infections in children). Three additional outcomes (diabetes, dementia, and autism spectrum disorders) for PM were included in list B+. Recommended CRFs are related to the incidence (onset) of the diseases. The International Classification of Diseases, 10th revision codes, age ranges, and suggested concentration ranges are also specified to ensure consistency and applicability in an HRA. No specific suggestions were given for ozone because of the lack of relevant systematic reviews.
The suggestions formulated in this study, including CRFs selected from the available systematic reviews, can assist in conducting reliable HRAs and contribute to evidence-based decision-making in public health and environmental policy. Future research should continue to update and refine these suggestions as new evidence becomes available and methodologies evolve.
空气污染健康风险评估(HRA)通常基于荟萃分析得出的浓度-反应函数(CRF),针对所有病因及特定病因死亡率进行。对于发病率结局的HRA,需要一种类似的系统方法,而发病率结局在空气污染的HRA中常常被忽略,从而低估了空气污染的总体负担。我们旨在从现有的系统评价和荟萃分析中汇编可应用于HRA的几种疾病发病率的CRF。为实现这一目标,我们制定了一项全面策略,用于评估那些研究空气动力学直径小于2.5微米的颗粒物(PM)、二氧化氮(NO)或臭氧(O)长期暴露与各种疾病发病率之间关系的系统评价和荟萃分析。
为确立评估基础,我们参考了美国环境保护局对PM、NO和O的综合科学评估所提供的因果关系判定。基于这些评估以及空气污染物与特定健康结局之间因果关系的证据,我们制定了一份污染物/结局对清单。我们使用两个数据库进行了全面的文献检索,确定了75项关于PM和NO的相关系统评价和荟萃分析。未找到关于长期暴露于臭氧的相关综述。我们使用AMSTAR 2工具的改编版评估这些研究的可靠性,该工具评估综述的各种特征,如文献检索、数据提取、统计分析和偏倚评估。该工具的改编版侧重于与空气污染健康影响研究相关的问题。基于我们的评估,我们选择了可作为HRA中CRF可靠来源的综述。我们还评估了所选系统评价和荟萃分析作为HRA中CRF来源的研究结果的可信度。我们制定了具体的评估标准,考虑纳入研究的数量、地理分布、研究结果的异质性、荟萃分析中合并风险估计的统计学意义和精确性以及与近期研究的一致性等因素。基于我们的评估,我们将结局分为三个清单:清单A(在HRA中可以对健康影响进行可靠量化)、清单B+(可以进行HRA,但与清单A中的CRF相比,CRF的可靠性存在更大不确定性)和清单B-(由于CRF存在很大不确定性,不建议进行HRA)。
在我们的最终评估中,清单A包括六个PM的CRF(儿童哮喘、慢性阻塞性肺疾病、缺血性心脏病事件、中风、高血压和肺癌)以及三个NO的结局(儿童和成人哮喘以及儿童急性下呼吸道感染)。PM的另外三个结局(糖尿病、痴呆和自闭症谱系障碍)被纳入清单B+。推荐的CRF与疾病的发病率(发病)相关。还指定了国际疾病分类第10版编码、年龄范围和建议的浓度范围,以确保在HRA中的一致性和适用性。由于缺乏相关系统评价,未对臭氧给出具体建议。
本研究中制定的建议,包括从现有系统评价中选择的CRF,可有助于进行可靠的HRA,并为公共卫生和环境政策中的循证决策做出贡献。随着新证据的出现和方法的发展,未来的研究应继续更新和完善这些建议。