Pouillot Régis, Kiermeier Andreas, Guillier Laurent, Cadavez Vasco, Sanaa Moez
Independent Researcher, 18 rue Mohamed Al Ghazi, Rabat 10170, Morocco.
Statistical Process Improvement Consulting and Training Pty Ltd., Gumeracha 5233, Australia.
Foods. 2024 Feb 29;13(5):751. doi: 10.3390/foods13050751.
Better knowledge regarding the dose-response (DR) model is needed to refine the assessment of the risk of foodborne listeriosis. In 2018, the European Food Safety Agency (EFSA) derived a lognormal Poisson DR model for 14 different age-sex sub-groups, marginally to strain virulence. In the present study, new sets of parameters are developed by integrating the EFSA model for these sub-groups together with three classes of strain virulence characteristics ("less virulent", "virulent", and "more virulent"). Considering classes of virulence leads to estimated relative risks (RRs) of listeriosis following the ingestion of 1000 bacteria of "less virulent" vs. "more virulent" strains ranging from 21.6 to 24.1, depending on the sub-group. These relatively low RRs when compared with RRs linked to comorbidities described in the literature suggest that the influence of comorbidity on the occurrence of invasive listeriosis for a given exposure is much more important than the influence of the virulence of the strains. The updated model parameters allow better prediction of the risk of invasive listeriosis across a population of interest, provided the necessary data on population demographics and the proportional contribution of strain virulence classes in food products of interest are available. An R package is made available to facilitate the use of these dose-response models.
需要更深入了解剂量反应(DR)模型,以完善食源性李斯特菌病风险评估。2018年,欧洲食品安全局(EFSA)针对14个不同年龄-性别的亚组,在不考虑菌株毒力的情况下,推导了对数正态泊松DR模型。在本研究中,通过将这些亚组的EFSA模型与三类菌株毒力特征(“低毒力”、“毒力强”和“高毒力”)相结合,开发了新的参数集。考虑毒力类别后,摄入1000个“低毒力”菌株与“高毒力”菌株导致李斯特菌病的估计相对风险(RR)在21.6至24.1之间,具体取决于亚组。与文献中描述的合并症相关的RR相比,这些相对较低的RR表明,对于给定暴露,合并症对侵袭性李斯特菌病发生的影响比菌株毒力的影响更为重要。如果有关于人群人口统计学以及感兴趣食品中菌株毒力类别的比例贡献的必要数据,更新后的模型参数能够更好地预测目标人群中侵袭性李斯特菌病的风险。现提供一个R包,以方便使用这些剂量反应模型。