O'Sullivan Aaron J, O'Mahony Cian, Meunier Leo, Loveridge Nik, McKevitt Aideen I
a UCD Institute of Food and Health, School of Agriculture and Food Science , University College Dublin , Dublin 4 , Republic of Ireland.
b Creme Global , Dublin 2 , Republic of Ireland.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2018 Aug;35(8):1453-1463. doi: 10.1080/19440049.2018.1488277. Epub 2018 Jul 11.
Children with phenylketonuria (PKU) and severe cow's milk protein allergy (CMPA) consume prescribed, specially formulated, foods for special medical purposes (FSMPs) in addition to having restricted intake of normal foods. These vulnerable patients are exposed to artificial sweeteners from the consumption of a combination of both free and prescribed foods. Young patients with PKU and CMPA aged from 1 to 3 years have a higher risk of exceeding the acceptable daily intake (ADI) for sweeteners than age-matched healthy children. A probabilistic modelling approach has been adapted successfully to assess the exposure of young patients with PKU and CMPA to low-calorie sweeteners. To assist professionals in the screening and formulation of foods containing food additives for such patients, a simplified exposure method/tool has been developed. The tool is intended to ensure that total dietary exposure can be considered. The simplified tool is not intended to replace the probabilistic model but may be used as a screening tool to determine if further investigation on exposure is warranted. The aim of this study was to develop and validate this simplified exposure tool to support those currently used by healthcare professionals (HCPs) using data available from the probabilistic modelling of exposure in young children with PKU and CMPA. The probabilistic model does not allow for swift screening of exposure scenarios nor is the present EFSA Food Additive Intake Assessment Model (FAIM) fully suitable for application to medical foods. The simplified exposure tool in medical nutrition (SETIM) reported here is both reliable and consistent and provides additive usage levels which minimise regular exposure above the ADI in patients. In addition to the usefulness of SETIM for the medical nutrition industry, the tool has the potential to enhance the practice of evidence-based medical nutrition by official risk assessment bodies, registration authorities and healthcare professionals.
患有苯丙酮尿症(PKU)和严重牛奶蛋白过敏(CMPA)的儿童除了限制正常食物的摄入量外,还食用处方的、特殊配方的特殊医学用途食品(FSMPs)。这些易患病的患者由于食用了自由选择的食物和处方食品的组合而接触到人工甜味剂。1至3岁的PKU和CMPA年轻患者比年龄匹配的健康儿童有更高的风险超过甜味剂的每日可接受摄入量(ADI)。一种概率建模方法已成功应用于评估PKU和CMPA年轻患者对低热量甜味剂的暴露情况。为了帮助专业人员对这类患者含有食品添加剂的食品进行筛查和配方设计,已开发出一种简化的暴露方法/工具。该工具旨在确保能够考虑总的膳食暴露情况。这个简化工具并非旨在取代概率模型,而是可作为一种筛查工具,以确定是否有必要对暴露情况进行进一步调查。本研究的目的是开发并验证这种简化的暴露工具,以支持医疗保健专业人员(HCPs)目前使用的工具,所使用的数据来自对PKU和CMPA幼儿暴露情况的概率建模。概率模型不允许快速筛查暴露情况,而且目前的欧洲食品安全局食品添加剂摄入量评估模型(FAIM)也不完全适用于医疗食品。此处报告的医学营养简化暴露工具(SETIM)既可靠又一致,并提供添加剂使用水平,将患者超过ADI的常规暴露降至最低。除了SETIM对医学营养行业有用外,该工具还有可能加强官方风险评估机构、注册当局和医疗保健专业人员基于证据的医学营养实践。