Trial Outcomes & Findings for Novel Blood Test to Predict Safe Foods for Infants and Toddlers With Food Protein-induced Enterocolitis Syndrome (FPIES) (NCT NCT04644783)
NCT ID: NCT04644783
Last Updated: 2024-05-16
Results Overview
A Receiver operating characteristic (ROC) curve was built to estimate the NPV. A random-effects logit model was used to model the binary outcome (safe or trigger food) as a function of the 9 biomarker measurements in the assay. (Expression Value = Relative fold change of 9-gene expression panel in response to food treatment, divided by fold change in response to LPS treatment, multiplied by 1000). The random effect in the logit model took into consideration the correlated data measured within the same subject. A cluster ROC curve analysis was used to assess the precision of the assay. Specifically, the area was computed under the cluster ROC curve (AUC). A threshold to obtain the NPV was selected based on inspection of the ROC curve. At the initial visit, participants had their blood drawn, which was assayed. On average, participants came in up to 4 weeks later after the test results were ready. Participants were then asked to trial a new food each week for up to 7 weeks.
COMPLETED
NA
10 participants
Up to 7 weeks from the first blood trial, on average 11 weeks
2024-05-16
Participant Flow
Participant milestones
| Measure |
Blood Test With Assays
10 participants with FPIES exhibiting reactions to more than 2 foods were recruited.
Blood test assay: Participants had their blood drawn and evaluated with a new blood assay that screened a large number of foods (more than 20) in a culture plate. Participants were asked to eat the foods identified as safe by the blood assay.
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|---|---|
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Overall Study
STARTED
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10
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Overall Study
COMPLETED
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10
|
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Overall Study
NOT COMPLETED
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0
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Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Novel Blood Test to Predict Safe Foods for Infants and Toddlers With Food Protein-induced Enterocolitis Syndrome (FPIES)
Baseline characteristics by cohort
| Measure |
Blood Test With Assays
n=10 Participants
10 participants with FPIES exhibiting reactions to more than 2 foods were recruited.
Blood test assay: Participants had their blood drawn and evaluated with a new blood assay that screened a large number of foods (more than 20) in a culture plate. Participants were asked to eat the foods identified as safe by the the blood assay.
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|---|---|
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Age, Continuous
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0.75 years
n=5 Participants
|
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Sex: Female, Male
Female
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6 Participants
n=5 Participants
|
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Sex: Female, Male
Male
|
4 Participants
n=5 Participants
|
|
Ethnicity (NIH/OMB)
Hispanic or Latino
|
0 Participants
n=5 Participants
|
|
Ethnicity (NIH/OMB)
Not Hispanic or Latino
|
10 Participants
n=5 Participants
|
|
Ethnicity (NIH/OMB)
Unknown or Not Reported
|
0 Participants
n=5 Participants
|
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Race (NIH/OMB)
American Indian or Alaska Native
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0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Black or African American
|
1 Participants
n=5 Participants
|
|
Race (NIH/OMB)
White
|
9 Participants
n=5 Participants
|
|
Race (NIH/OMB)
More than one race
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0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
0 Participants
n=5 Participants
|
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Region of Enrollment
United States
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10 Participants
n=5 Participants
|
PRIMARY outcome
Timeframe: Up to 7 weeks from the first blood trial, on average 11 weeksA Receiver operating characteristic (ROC) curve was built to estimate the NPV. A random-effects logit model was used to model the binary outcome (safe or trigger food) as a function of the 9 biomarker measurements in the assay. (Expression Value = Relative fold change of 9-gene expression panel in response to food treatment, divided by fold change in response to LPS treatment, multiplied by 1000). The random effect in the logit model took into consideration the correlated data measured within the same subject. A cluster ROC curve analysis was used to assess the precision of the assay. Specifically, the area was computed under the cluster ROC curve (AUC). A threshold to obtain the NPV was selected based on inspection of the ROC curve. At the initial visit, participants had their blood drawn, which was assayed. On average, participants came in up to 4 weeks later after the test results were ready. Participants were then asked to trial a new food each week for up to 7 weeks.
Outcome measures
| Measure |
Blood Test With Assays
n=10 Participants
10 participants with FPIES exhibiting reactions to more than 2 foods were recruited.
Blood test assay: Participants had their blood drawn and evaluated with a new blood assay that screened a large number of foods (more than 20) in a culture plate. Participants were asked to eat the foods identified as safe by the the blood assay.
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|---|---|
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Negative Predictive Value (NPV), Defined as the Percentage of Test-predicted Safe Foods That Are Actually Safe Foods.
NPV <29.24 Threshold
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98.5 percentage
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Negative Predictive Value (NPV), Defined as the Percentage of Test-predicted Safe Foods That Are Actually Safe Foods.
Area Under the ROC Curve
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73.16 percentage
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SECONDARY outcome
Timeframe: Up to 7 weeks from the first blood trial, on average 11 weeksThe same ROC curve described for the primary outcome was used to derive the PPV. At the initial visit, participants had their blood drawn, which was assayed. On average, participants came in up to 4 weeks later after the test results were ready. Participants were then asked to trial a new food each week for up to 7 weeks.
Outcome measures
| Measure |
Blood Test With Assays
n=10 Participants
10 participants with FPIES exhibiting reactions to more than 2 foods were recruited.
Blood test assay: Participants had their blood drawn and evaluated with a new blood assay that screened a large number of foods (more than 20) in a culture plate. Participants were asked to eat the foods identified as safe by the the blood assay.
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|---|---|
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Positive Predictive Value (PPV), Defined as the Percentage of Test-predicted Unsafe Foods That Are Actually Unsafe Foods.
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31.1 percentage
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Adverse Events
Blood Test With Assays
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place