Novel Blood Test to Predict Safe Foods for Infants and Toddlers With Food Protein-induced Enterocolitis Syndrome (FPIES)
Study Details
Study Description
Brief Summary
The aim of this study is to validate a blood test that can identify safe foods for food protein-induced enterocolitis syndrome (FPIES). This study proposes a solution to the problems of FPIES by developing a new blood assay that screens a large number of foods (more than 20) in a culture plate. If this blood test is successful it may be able to identify safe foods more quickly.
The study will recruit ten participants that will have 2-3 trigger foods as well as ten participants with 4 or more trigger foods.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Detailed Description
Participants will complete surveys and have blood draws during the study. Additionally, participants will be asked to keep track of their diet as well as introduce safe foods identified by the researchers.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: Blood test with assays Ten patients with FPIES exhibiting reactions to 2-3 foods, and up to 10 exhibiting FPIES reactions to 4 or more foods will be recruited. |
Diagnostic Test: Blood test assay
Participants will have their blood drawn and be evaluated with a new blood assay that screens a large number of foods (more than 20) in a culture plate. Participants will be asked to eat the identified safe foods by the the blood assay.
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Outcome Measures
Primary Outcome Measures
- Negative predictive value (NPV), defined as the proportion of test-predicted safe foods that are actually safe foods. [Up to 10 weeks (from first food trial)]
The study team will build a Receiver operating characteristic (ROC) curve to estimate the NPV. A random-effects logit model will be used to model the binary outcome (safe or trigger food) as a function of the 9 biomarker measurements in the assay. The random effect in the logit model will take into consideration of the correlated data measured within the same subject. A cluster Receiver operating characteristic (ROC) curve analysis will be used to assess the precision of the assay. Specifically, the study team will compute the area under the cluster ROC curve (AUC), along with a 95% confidence interval (CI). The assay is predictive if the lower limit of the 95% CI is above 0.5, which is the null value indicating no predictive ability. Given the assay is predictive, the team will select a threshold to obtain the NPV.
Secondary Outcome Measures
- Positive predictive value (PPV), defined as the proportion of test-predicted unsafe foods that are actually unsafe foods. [Up to 10 weeks (from first food trial)]
The study team will use the same ROC curve described for the primary outcome to derive the PPV.
Eligibility Criteria
Criteria
Inclusion Criteria:
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Diagnosis of FPIES
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Have to have documented reactions to 2-3 trigger foods with recurrent delayed vomiting or documented reactions to 4 or more trigger foods with recurrent delayed vomiting.
Exclusion Criteria:
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Patients who are currently on medications that suppress the immune system
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Patients who do not have at least 2 trigger foods identified.
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Patients who have a history of an organic Gastrointestinal (GI) disease (e.g., inflammatory bowel disease, celiac disease, biliary disorders, bowel resection), cardiac, pulmonary, neurologic, renal, endocrine, or gynecological pathology
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Lack of parental or guardian informed consent.
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | University of Michigan | Ann Arbor | Michigan | United States | 48109 |
Sponsors and Collaborators
- University of Michigan
Investigators
- Principal Investigator: Mohamad El Zaatari, PhD, University of Michigan
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- HUM00156027