Okuyama Julia Hiromi Hori, Galvão Taís Freire, Silva Marcus Tolentino
Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade de Sorocaba, Sorocaba, SP, Brazil.
Faculdade de Ciências Farmacêuticas, Universidade Estadual de Campinas, Campinas, SP, Brazil.
Rev Bras Epidemiol. 2020;23:e200024. doi: 10.1590/1980-549720200024. Epub 2020 May 11.
Pesticide poisoning causes high morbidity and mortality. Surveillance is required for post-marketing monitoring of these products.
To assess poisonings and associated factors with lethality by pesticides.
This is a case-control study based on the cases of pesticide poisoning assisted in 2017 by Brazilian Poison Control Centers. Patients who died were the cases and the survivors, the control. The odds ratio (OR) of death and 95% confidence interval (CI) were calculated. From the regression model, a predictive model of death was developed, stratified by age, gender and occupational context to investigate the risk of agricultural workers poisoned by extremely hazardous agents.
3,826 patients poisoned by pesticides were identified, of which 146 died. Older people (OR = 4.94; 95%CI 2.49 - 9.80), males (OR = 1.68; 95%CI 1.15 - 2.46), agricultural workers (OR = 2.20; 95%CI 1.15 - 4.24), suicide attempts (OR = 13.27; 95%CI 6.48 - 27.19) and exposure to extremely hazardous products (OR = 2.77; 95%CI 1.84 - 4.16) odds of death from pesticide poisoning.
Out of 100 pesticides poisoning, four died. Elderly, males, working in the agricultural sector, suicide attempts and extremely hazardous products had a higher risk of death.
农药中毒导致高发病率和死亡率。对这些产品进行上市后监测需要开展监督。
评估农药中毒情况及与致死性相关的因素。
这是一项基于巴西毒物控制中心在2017年协助处理的农药中毒病例的病例对照研究。死亡患者为病例组,存活患者为对照组。计算死亡的比值比(OR)和95%置信区间(CI)。从回归模型中,开发了一个死亡预测模型,按年龄、性别和职业背景分层,以调查接触极危险制剂中毒的农业工人的风险。
共识别出3826例农药中毒患者,其中146例死亡。老年人(OR = 4.94;95%CI 2.49 - 9.80)、男性(OR = 1.68;95%CI 1.15 - 2.46)、农业工人(OR = 2.20;95%CI 1.15 - 4.24)、自杀未遂(OR = 13.27;95%CI 6.48 - 27.19)以及接触极危险产品(OR = 2.77;95%CI 1.84 - 4.16)会增加农药中毒死亡几率。
每100例农药中毒病例中有4例死亡。老年人、男性、从事农业工作、自杀未遂以及接触极危险产品的人群死亡风险更高。