Pulsrikarn Chaiwat, Kedsin Anusak, Boueroy Parichart, Chopjitt Peechanika, Hatrongjit Rujirat, Chansiripornchai Piyarat, Suanpairintr Nipattra, Nuanualsuwan Suphachai
National Institute of Health, Department of Medical Science, Ministry of Public Health, Nonthaburi 11000, Thailand.
Faculty of Public Health, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000, Thailand.
Foods. 2022 Sep 20;11(19):2942. doi: 10.3390/foods11192942.
The adverse human health effects as a result of antimicrobial resistance have been recognized worldwide. is a leading cause of foodborne illnesses while antimicrobial resistant (AMR) has been isolated from foods of animal origin. The quantitative risk assessment (RA) as part of the guidelines for the risk analysis of foodborne antimicrobial resistance was issued by the Codex Alimentarius Commission more than a decade ago. However, only two risk assessments reported the human health effects of AMR in dry-cured pork sausage and pork mince. Therefore, the objective of this study was to quantitatively evaluate the adverse health effects attributable to consuming retail pork contaminated with using risk assessment models. The sampling frame covered pork at the fresh market ( = 100) and modern trade where pork is refrigerated ( = 50) in Chiang Mai province in northern Thailand. The predictive microbiology models were used in the steps where data were lacking. Susceptible and quinolone-resistant (QR) were determined by antimicrobial susceptibility testing and the presence of AMR genes. The probability of mortality conditional to foodborne illness by susceptible was modeled as the hazard characterization of susceptible and QR For QR , the probabilistic prevalences from the fresh market and modern trade were 28.4 and 1.9%, respectively; the mean concentrations from the fresh market and modern trade were 346 and 0.02 colony forming units/g, respectively. The probability of illness () and probability of mortality given illness () from QR -contaminated pork at retails in Chiang Mai province were in the range of 2.2 × 10-3.1 × 10 and 3.9 × 10-5.4 × 10, respectively, while those from susceptible contaminated-pork at retails were in the range 1.8 × 10-3.2 × 10 and 2.3 × 10-4.2 × 10, respectively. After 1000 iterations of Monte Carlo simulations of the risk assessment models, the annual mortality rates for QR salmonellosis simulated by the risk assessment models were in the range of 0-32, which is in line with the AMR adverse health effects previously reported. Therefore, the risk assessment models used in both exposure assessment and hazard characterization were applicable to evaluate the adverse health effects of AMR spp. in Thailand.
抗菌药物耐药性对人类健康造成的不良影响已在全球范围内得到认可。[具体细菌名称]是食源性疾病的主要病因,同时已从动物源性食品中分离出耐抗菌药物(AMR)的[具体细菌名称]。十多年前,食品法典委员会发布了作为食源性抗菌药物耐药性风险分析指南一部分的定量风险评估(RA)。然而,只有两项风险评估报告了干腌猪肉香肠和猪肉末中AMR[具体细菌名称]对人类健康的影响。因此,本研究的目的是使用风险评估模型定量评估食用受[具体细菌名称]污染的零售猪肉所导致的不良健康影响。抽样框架涵盖了泰国北部清迈省新鲜市场的猪肉(n = 100)和猪肉冷藏的现代贸易市场的猪肉(n = 50)。在缺乏数据的步骤中使用了预测微生物学模型。通过抗菌药物敏感性测试和AMR基因的存在来确定敏感菌和耐喹诺酮(QR)[具体细菌名称]。将因敏感[具体细菌名称]导致食源性疾病的条件死亡率建模为敏感菌和QR[具体细菌名称]的危害特征。对于QR[具体细菌名称],新鲜市场和现代贸易市场的概率患病率分别为28.4%和1.9%;新鲜市场和现代贸易市场的平均浓度分别为346和0.02菌落形成单位/克。清迈省零售的受QR[具体细菌名称]污染猪肉导致疾病的概率(Pi)和患病后死亡的概率(Pf)分别在2.2×10 - 3.1×10和3.9×10 - 5.4×10范围内,而零售的受敏感[具体细菌名称]污染猪肉导致疾病的概率和患病后死亡的概率分别在1.8×10 - 3.2×10和2.3×10 - 4.2×10范围内。在对风险评估模型进行1000次蒙特卡洛模拟后,风险评估模型模拟的QR沙门氏菌病的年死亡率在0 - 32范围内,这与先前报道的AMR不良健康影响一致。因此,暴露评估和危害特征中使用的风险评估模型适用于评估泰国AMR[具体细菌名称]对健康的不良影响。