Lucrezia Lanciotti, Felice Giordano, Rosanna Maria Fidente, Carolina Ferranti, Roberta Lavalle, Marco Famele, Denise Pires Marafon, Rosa Draisci
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引用次数: 0
摘要
介绍:在 COVID-19 大流行期间,人们强烈建议开展清洁/消毒活动。本研究总结了最新研究成果,并估算了 2020 年与 2019 年全球中毒中心(PCs)管理的特定化学品的危险接触率,试图克服 PCs 使用的产品分类系统的关键问题:在 3 个主要数据库和 2 个毒物中心协会网站上进行了系统研究。进行了比例荟萃分析,以估计 2020 年与 2019 年接触消毒剂、家用产品和洗手液的流行率:接触消毒剂、家用产品和洗手液的总体流行率分别为5.9%(95% CI 4.9-7.0)(2019年:4.4% vs 2020年:7.8%;p=0.22)、25.9%(95% CI 24.0-27.7)(2019年:25.0% vs 2020年:28.6%;p=0.71)和1.6%(95% CI 1.3-1.9)(2019年:0.6% vs 2020年:2.8%;p结论:这项研究发现,2020 年特定化学品的暴露量总体增加,这表明应提高对安全使用这些产品相关主题的认识,尤其是在卫生紧急情况下,这突出表明有必要开发标准化系统,以更好地比较来自世界各地 PC 的数据。
Dangerous exposures to chemicals managed by Poison Centers all around the world during the COVID-19 pandemic: a systematic review and proportional meta-analysis.
Introduction: During COVID-19 pandemic, cleaning/disinfection activities were highly recommended. This study summarizes the state of art and estimates the prevalence of dangerous exposures to specific chemicals managed by Poison Centers (PCs) from all over the world during 2020 vs 2019, trying to overcome the critical aspects of the product categorization systems used by PCs.
Materials and methods: A systematic research was conducted in 3 major databases and 2 websites of PCs associations. Proportional meta-analyses were performed to estimate the prevalence of exposures to disinfectants, household products and hand sanitizers in 2020 vs 2019.
Results: The pooled prevalence of exposures to disinfectants, household products and hand sanitizers were respectively 5.9% (95% CI 4.9-7.0) (2019: 4.4% vs 2020: 7.8%; p=0.22), 25.9% (95% CI 24.0-27.7) (2019: 25.0% vs 2020: 28.6%; p=0.71) and 1.6% (95% CI 1.3-1.9) (2019: 0.6% vs 2020: 2.8%; p<0.001).
Conclusions: This study detected overall increases of exposures to specific chemicals in 2020, suggesting that the awareness on topics related to the safe use of these products should be improved, especially during health emergencies, highlighting the need to develop standardized systems to better compare data coming from PCs all over the world.