Pesticides as an overlooked exposomic association in allergic asthma exacerbations: A nationwide database study

IF 12 1区 医学 Q1 ALLERGY Allergy Pub Date : 2024-10-29 DOI:10.1111/all.16380
Joana Vitte, Leila Bouazzi, Coralie Barbe, Bach-Nga Pham, Stéphane Sanchez
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The comparison between the two groups: cases (allergic and mixed asthma) and controls (non-allergic asthma) is presented using odds-ratio (OR) to estimate the association between exposure and outcome.</p><p>Univariate analysis revealed higher exposure to any pesticide in cases: 7.81 ± 18.6 kg/ha mean ± SD in cases versus 6.50 ± 18.1 kg/ha in controls, OR 1.07, <i>p</i> &lt; .001 (Table 1). The association was significant for each subgroup of pesticides, with higher exposure in cases than in controls: insecticides (OR 1.09, <i>p</i> = .007), fungicides (OR 2.45, <i>p</i> = .002) and herbicides (OR 1.84, <i>p</i> = .002).</p><p>In multivariate analysis, after adjustment on age, sex, and comorbidities (Table 1), and on social deprivation (Table S3), significantly higher exposure persisted in cases compared to controls for any pesticide (OR = 1.06, <i>p</i> = .009) and for pesticide subgroups, with highest OR of 1.96 for fungicides. 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引用次数: 0

Abstract

Occupational pesticide exposure (PE) is a causal factor for asthma, but there is only low certainty of evidence for non-occupational PE, considered a minor exposomic risk.1-3 Pesticides share the One Health pathophysiology of exposome-related diseases: leaky barrier due to epithelial lesions and inflammation driven by epithelium-derived alarmins. Leaky barriers allow further penetration of noxious molecules while the vicious circle of chronic inflammation, most often type 2-skewed, fosters and exacerbates adaptive allergic responses to common airborne allergens.3-5 Direct toxicity, allergenicity, and epigenetic effects have also been described.4, 6-9 Thus, the association between PE and asthma can be assessed as “incidence” (asthma development in exposed populations) or as “impact on asthma outcomes” (exacerbation, lung function deterioration etc).1, 2 Our study belongs to the second category. The lack of general population cohorts addressing the relationship between PE and asthma outcomes prompted us to build a nationwide dataset (F20210106180024/2203674v, French healthcare data studies registry) using four French databases (Figure 1; Supporting Methods—Data S1). Institutional Review Board approval was waived for this retrospective observational study with anonymized data.

Cases (n = 21,050) were defined as 2014–2020 stays with an ICD-10 primary diagnosis of allergic or mixed asthma (J45.0, J45.8). Controls (n = 8782) were defined as stays with a primary diagnosis of non-allergic asthma (J45.1) during the same period (Figure S1). Cases were matched 1:1 with controls on age, sex, comorbidities, month and year of the hospital stay (Supporting Methods—Data S1). Patients' residence place was encoded from ZIP code (Table S1). PE was estimated as the index of non-occupational annual pesticide purchases per ZIP code area. Matched (n = 12,716) cases and controls were compared according to exposomic variables: PE, lifestyle, and socio-economic indicators (Figure 1; Table S2). The comparison between the two groups: cases (allergic and mixed asthma) and controls (non-allergic asthma) is presented using odds-ratio (OR) to estimate the association between exposure and outcome.

Univariate analysis revealed higher exposure to any pesticide in cases: 7.81 ± 18.6 kg/ha mean ± SD in cases versus 6.50 ± 18.1 kg/ha in controls, OR 1.07, p < .001 (Table 1). The association was significant for each subgroup of pesticides, with higher exposure in cases than in controls: insecticides (OR 1.09, p = .007), fungicides (OR 2.45, p = .002) and herbicides (OR 1.84, p = .002).

In multivariate analysis, after adjustment on age, sex, and comorbidities (Table 1), and on social deprivation (Table S3), significantly higher exposure persisted in cases compared to controls for any pesticide (OR = 1.06, p = .009) and for pesticide subgroups, with highest OR of 1.96 for fungicides. However, adjusting on rural residence canceled PE significance (Table S3). Rural residence as a risk factor for high non-occupational PE and possible links to respiratory health outcomes was consistent with previous reports.3, 10 Since urban versus rural residence appeared as an effect modifier, urban residents were analyzed separately. Among urban residents, exposure to any pesticide was significantly higher in cases than in controls (3.94 ± 15.81 kg/ha versus 2.35 ± 6.50 kg/ha, OR = 1.41, p = .006, Table 1). Herbicide and fungicide exposure ORs were 18 (p < .001) and 58 (p = .03) in urban residents, although wide CI95% intervals warrant confirmation.

Our findings challenge the current view of harmless non-occupational PE1-3 by exposing the association between PE and hospital stays for allergic versus non-allergic asthma. They support a contribution of PE to hospital stays for allergic asthma. Moreover, higher PE may be an unrecognized determinant of hospital stays for allergic asthma in urban residents, potentially related to the increased prevalence of allergic diseases and asthma in socially disadvantaged urban neighborhoods.

The strengths of our study include the nationwide and unbiased design of the study population, subsequently matched as allergic versus non-allergic asthma hospital stays, combined with PE and lifestyle data, and the methodological validation of exposomic health risk studies combining open data from available repositories.

Limitations include selection bias toward hospitalized patients, non-differential misclassification bias due to ICD-10, and indirect PE evaluation based on the amount of non-occupational purchases. Missing data on smoking and occupation are major methodological limitations. While smoking exposure is considered a significant confounder for assessing asthma outcomes, neither smoking exposure nor occupational PE are known to preferentially associate with allergic rather than non-allergic asthma outcomes.1, 2, 11 In a large study assessing lung function decline, a long-term characteristic of asthma, in over 17,000 participants, smoking status did not influence the effects of occupational exposure.12 Moreover, smoking is closely associated with low socio-economic conditions, which were addressed in this study. The most significant occupational PE occurs in agricultural workers, who make only 2.5% of the French adult population (https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Farmers_and_the_agricultural_labour_force_-_statistics).

Considering our identification of higher PE in patients hospitalized for allergic asthma compared to patients hospitalized for non-allergic asthma, and as an exposomic risk in urban populations, further studies at the personal and neighborhood level (asthma endotype, actual PE at the chemical level, housing characteristics, green spaces proximity and quality, pest infestation) are warranted in addition to cross-referencing administrative, socio-economic, environmental and hospital databases. From a One Health perspective, further characterization of the pesticide exposomic risk is an obvious unmet need for improved personalized strategies for asthma prevention, diagnosis and management.

JV: conceptualization, project supervision, validation, writing—first draft; writing—final draft revision and approval, LB: data curation, formal analysis, writing—first draft, BNP: conceptualization, validation, writing—final draft revision and approval, CB: conceptualization, methodology, writing—final draft revision and approval SS: conceptualization, methodology, project supervision, writing—first draft; writing—final draft revision and approval.

No specific funding was allocated for this study. All authors are employees of the University of Reims Champagne-Ardenne, Reims, France.

JV reports speaker and consultancy fees in the past 5 years from Astra Zeneca, HpVac, L'Oréal, Novartis, Sanofi, Thermo Fisher Scientific, and travel support from Stallergènes-Greer, outside the submitted work. The other authors declare no competing interests in relation to this study.

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农药是过敏性哮喘恶化中一个被忽视的暴露组学关联:一项全国性数据库研究。
职业性农药暴露(PE)是哮喘的一个致病因素,但非职业性农药暴露(PE)的证据确定性较低,被认为暴露风险较小。1-3种农药共享暴露相关疾病的同一健康病理生理:上皮病变引起的渗漏屏障和上皮源性警报驱动的炎症。有漏洞的屏障允许有害分子进一步渗透,而慢性炎症的恶性循环,通常是2型扭曲,促进并加剧了对常见空气中过敏原的适应性过敏反应。3-5直接毒性、致敏性和表观遗传效应也有描述。4,6 -9因此,PE与哮喘之间的关系可以通过“发病率”(暴露人群的哮喘发展)或“对哮喘结局的影响”(恶化、肺功能恶化等)来评估。我们的研究属于第二类。由于缺乏解决PE和哮喘结局之间关系的一般人群队列,我们使用四个法国数据库建立了一个全国性的数据集(F20210106180024/2203674v,法国医疗保健数据研究注册中心)(图1;支持方法-数据S1)。机构审查委员会对这项匿名数据的回顾性观察性研究不予批准。病例(n = 21,050)定义为2014-2020年住院,ICD-10初步诊断为过敏性或混合性哮喘(J45.0, J45.8)。对照组(n = 8782)定义为在同一时期内初步诊断为非过敏性哮喘(J45.1)的住院患者(图S1)。病例与对照组在年龄、性别、合并症、住院月份和年份方面进行1:1匹配(支持方法-数据S1)。患者居住地采用邮政编码编码(表S1)。PE估计为每个邮政编码区域的非职业农药年采购指数。匹配的(n = 12,716)病例和对照根据暴露变量进行比较:PE、生活方式和社会经济指标(图1;表S2)。两组之间的比较:病例(过敏性和混合性哮喘)和对照组(非过敏性哮喘)使用比值比(OR)来估计暴露与结果之间的关联。单因素分析显示,病例中任何一种农药的暴露量较高:病例中平均±SD为7.81±18.6 kg/ha,对照组为6.50±18.1 kg/ha, OR为1.07,p &lt; 0.001(表1)。每个农药亚组的相关性都很显著,病例中的暴露量高于对照组:杀虫剂(OR 1.09, p = .007)、杀菌剂(OR 2.45, p = .002)和除草剂(OR 1.84, p = .002)。在多变量分析中,在对年龄、性别、合共病(表1)和社会剥夺(表S3)进行调整后,与对照组相比,任何农药(OR = 1.06, p = 0.009)和农药亚组的暴露率都明显更高,杀菌剂的OR值最高,为1.96。然而,对农村居民的调整取消了PE的显著性(表S3)。农村居住是非职业PE高的一个风险因素,可能与呼吸系统健康结果有关,这与以前的报告一致。3,10由于城市居民与农村居民的差异是一个影响因素,所以我们对城市居民进行了单独的分析。在城市居民中,任何一种农药暴露的病例均显著高于对照组(3.94±15.81 kg/ha vs . 2.35±6.50 kg/ha, OR = 1.41, p =)。006,表1)。城市居民除草剂和杀菌剂暴露的or值分别为18 (p &lt; .001)和58 (p = .03),尽管广泛的CI95%区间值得证实。我们的研究结果通过揭示PE与过敏性哮喘和非过敏性哮喘住院时间之间的关系,挑战了目前关于无害的非职业性PE -3的观点。他们支持PE为过敏性哮喘患者的住院费用做出贡献。此外,较高的PE可能是城市居民过敏性哮喘住院时间的一个未被认识到的决定因素,可能与社会弱势城市社区过敏性疾病和哮喘患病率的增加有关。本研究的优势包括研究人群的全国性和无偏倚设计,随后匹配过敏性与非过敏性哮喘住院时间,结合PE和生活方式数据,以及暴露性健康风险研究的方法学验证,结合可用数据库的开放数据。局限性包括对住院患者的选择偏倚,ICD-10导致的非鉴别误分类偏倚,以及基于非职业购买金额的间接PE评估。缺少关于吸烟和职业的数据是主要的方法限制。虽然吸烟暴露被认为是评估哮喘结局的一个重要混杂因素,但已知吸烟暴露和职业性PE都与过敏性哮喘结局没有优先关系。 在一项评估肺功能下降(哮喘的长期特征)的大型研究中,超过17,000名参与者,吸烟状况不影响职业暴露的影响此外,吸烟与低社会经济条件密切相关,这在本研究中得到了解决。最显著的职业PE发生在农业工人中,他们只占法国成年人口的2.5% (https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Farmers_and_the_agricultural_labour_force_-_statistics)。考虑到我们发现过敏性哮喘住院患者的PE高于非过敏性哮喘住院患者,并且在城市人群中存在暴露性风险,除了交叉参考行政、社会经济、环境和医院数据库外,还需要进一步研究个人和社区水平(哮喘内源性、化学水平的实际PE、住房特征、绿地邻近性和质量、害虫侵害)。从同一个健康的角度来看,农药暴露风险的进一步表征是改善哮喘预防、诊断和管理个性化策略的明显未满足需求。合资企业:构思、项目监督、审核、撰写初稿;撰写-终稿修订及审批,LB:数据整理、形式分析、撰写-终稿修订及审批,BNP:概念化、验证、撰写-终稿修订及审批,CB:概念化、方法学、撰写-终稿修订及审批SS:概念化、方法学、项目监督、撰写-终稿;写作-终稿修改和批准。没有为这项研究拨款。所有作者都是法国兰斯香槟-阿登大学的雇员。JV报告了过去5年来自阿斯特拉-利康、惠普、欧莱雅、诺华、赛诺菲、赛默飞世尔科学公司的演讲费和咨询费,以及来自斯达格伦-格里尔的差旅支持。其他作者声明与本研究无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Allergy
Allergy 医学-过敏
CiteScore
26.10
自引率
9.70%
发文量
393
审稿时长
2 months
期刊介绍: Allergy is an international and multidisciplinary journal that aims to advance, impact, and communicate all aspects of the discipline of Allergy/Immunology. It publishes original articles, reviews, position papers, guidelines, editorials, news and commentaries, letters to the editors, and correspondences. The journal accepts articles based on their scientific merit and quality. Allergy seeks to maintain contact between basic and clinical Allergy/Immunology and encourages contributions from contributors and readers from all countries. In addition to its publication, Allergy also provides abstracting and indexing information. Some of the databases that include Allergy abstracts are Abstracts on Hygiene & Communicable Disease, Academic Search Alumni Edition, AgBiotech News & Information, AGRICOLA Database, Biological Abstracts, PubMed Dietary Supplement Subset, and Global Health, among others.
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