Villegas Pérez José, Navas González Francisco Javier, Serrano Salud, García Viejo Fernando, Buffoni Leandro
Escuela de Doctorado, Universidad de Córdoba, 14014 Córdoba, Spain.
Departamento de Genética, Universidad de Córdoba, 14014 Córdoba, Spain.
Animals (Basel). 2024 Sep 27;14(19):2802. doi: 10.3390/ani14192802.
Trichinellosis is a major foodborne zoonotic disease responsible for 41 human cases, according to the European Union One Health Zoonoses Report. In southern Spain, a quality management system (QMS) was applied to satellite laboratories (SLs) that conduct meat inspections of spp. ensuring excellence practices. This study aimed to determine how eventual deviations from standard procedures may influence risk levels using Canonical Discriminant Analysis (CDA). Data were collected during slaughterhouses and game handling establishments' official audits in 18 SLs located in the provinces of Cordoba and Seville during a 6-year period. Technical requirement deviations regarding technique and trial information, such as performing tests or calculations incorrectly or not following technical procedures, significantly increased risk level differences. Imminent risk levels were detected if the above-mentioned deviations arose. Quality assurance compromising deviations were responsible for 1150 times risk level differences, suggesting finding such may be critical for risk determination. A lack of significant influence of records and documents compromising deviations (incomplete forms or missing-erroneous or illegible data) was found. These results strengthen spp. control strategies by pinpointing crucial aspects within QMS that require improvement, particularly in addressing deviations related to technique, trial information, and quality assurance procedures to mitigate associated risks effectively.
根据欧盟《一体化健康人畜共患病报告》,旋毛虫病是一种主要的食源性人畜共患病,导致41例人类感染病例。在西班牙南部,质量管理体系(QMS)应用于对 spp. 进行肉类检查的卫星实验室(SLs),以确保卓越的实践。本研究旨在使用典型判别分析(CDA)确定与标准程序的最终偏差如何影响风险水平。在六年期间,收集了位于科尔多瓦省和塞维利亚省的18个SLs在屠宰场和野味处理场所官方审计期间的数据。关于技术和试验信息的技术要求偏差,如错误地进行测试或计算或不遵循技术程序,显著增加了风险水平差异。如果出现上述偏差,则会检测到即将发生的风险水平。损害质量保证的偏差导致风险水平差异达1150倍,这表明发现此类偏差可能对风险确定至关重要。发现记录和文件损害偏差(表格不完整或数据缺失、错误或难以辨认)没有显著影响。这些结果通过确定质量管理体系中需要改进的关键方面,特别是在解决与技术、试验信息和质量保证程序相关的偏差以有效降低相关风险方面,加强了对 spp. 的控制策略。