MyRareDiet™: A Diet Tracking, Monitoring and Optimization mHealth Tool for Patients With Inborn Errors of Metabolism
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 60
- 主要终点
- Energy
研究概览
简要总结
The investigators propose to develop and validate MyRareDiet® (MRD) to address an unmet need in the inborn errors of metabolism (IEM) population to assist with dietary management designed to increase adherence and compliance to treatment guidelines, while facilitating the collection of dietary data from individuals with IEM for research purposes.
详细描述
Inborn errors of metabolism (IEM) are a group of rare genetic disorders that cause a block in a metabolic pathway leading to clinically significant consequences. Most of the disorders are caused by single gene defects that result in a deficiency of a particular enzyme that metabolizes dietary nutrients, eventually causing an accumulation of abnormal metabolites, lack of endogenous production of substances, and/or production of toxic substances that have catastrophic effects on the brain and organs. IEM can lead to developmental and intellectual disabilities, seizures, and, if untreated, coma and death. The majority of the disorders are managed by manipulation and modification of diet alone to reduce toxic metabolites, or with a combination of dietary modification and medications. The complex dietary therapies used in IEM challenge routine dietary recommendations and render diet apps designed for the general public of little utility in these conditions. Additionally, no diet app is developed specifically for the IEM community and meets the rigor required for research, particularly the need to measure specific and multiple amino acids, fats and carbohydrates in the diet to facilitate more study on impact on brain and organs. In IEM, paper diet diaries are often utilized to track food intake and inform patients and their dietitians whether their diets are consistent with the therapy recommendations. These diaries are frequently inadequate in capturing what is actually being consumed due to recall errors and other factors. Novel methods of assessing dietary intake are required to reduce the diet tracking burden, improve accuracy in dietary surveys, and improve diet adherence.
The investigators propose to develop and validate MyRareDiet® (MRD) to address an unmet need in the IEM population to assist with dietary tracking while facilitating the collection of dietary data from individuals with IEM for research purposes. MRD includes a Patient Portal, a Clinical Dietician Portal, and a Researcher Portal. The Patient Portal is to help IEM patients track and monitor their own diet so they can achieve their strict diet targets. The main features include the integration of a major food database for regular foods with a third database for medical foods, the recording of food intake, and daily dietary reports for food monitoring. The Clinical Dietician Portal helps clinical dieticians manage diet modifications for individuals with IEM. It allows a dietitian to individualize MRD for a specific patient based on findings from their nutrition assessment, and set their nutrient goals and restrictions. The Researcher Portal will facilitate the conduct of diet-based studies and the analysis of study results. It offers typical clinical trial management features such as site and staff management, protocol specification, recruitment status, and study data exports.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 1 Year 至 80 Years(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •diagnosed with urea cycle disorder, propionic acidemia, maple syrup urine disease or methylmalonic acidemia
- •consuming a diet where ≥50% of energy is supplied by foods consumed orally
- •self-known (or prescribed) dietary energy goal and protein restriction
- •internet connected device to access MyRareDiet
排除标准
- 未提供
结局指标
主要结局
Energy
时间窗: 24 hour
Total reported energy intake
Protein
时间窗: 24 hour
Total percent of calories from protein
次要结局
- Carbohydrate(24 hour)
- Fat(24 hour)
研究者
Melanie B Gillingham
Professor
Oregon Health and Science University
