Diagnosing Drug Allergy: the T is the Key (TAT)
Diagnosing Drug Allergy the T is the Key
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Laura Peeters, Msc
- Email: Laura.Peeters@uza.be
Study Contact Backup
- Name: Didier Ebo, PhD
- Phone Number: +3238215027
- Email: Didier.Ebo@uza.be
Study Locations
-
-
Antwerp
-
Edegem, Antwerp, Belgium, 2650
- Recruiting
- Antwerp University Hospital
-
Contact:
- Didier Ebo, PhD
- Phone Number: +32 3 821 46 62
- Email: Didier.Ebo@uza.be
-
Contact:
- Laura Peeters, Msc
- Phone Number: +32 3 821 50 27
- Email: Laura.Peeters@uza.be
-
Principal Investigator:
- Didier Ebo, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Participants are eligible if they:
- Are ≥ 6 years
- Are capable of informed consent, or if appropriate, participants have an acceptable individual capable of giving consent on the participant's behalf (e.g. parent or guardian of a child under 18 years of age)
- Have a suspected history of amoxicillin allergy
Exclusion Criteria:
- Patients who are lacking capacity or do not have an acceptable individual capable to provide informed consent
- Pregnant women
- Breastfeeding women
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Patients with a suspected amoxicillin allergy
Patients with a suspected amoxicillin allergy for which the diagnostic work-up was performed at the hospital for the possible diagnosis of amoxicillin allergy.
|
A blood sample will be taken which is needed for the T-cell activation test (TAT).
The TAT will than be performed by trained laboratory personnel.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity and specificity of the T-cell activation test
Time Frame: Baseline
|
Sensitivity and specificity of the T-cell activation test during Study Visit 1 of patients with amoxicillin allergy and control subjects without amoxicillin allergy.
|
Baseline
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Positive predictive value (PPV) and negative predictive value (NPV), accuracy and likelihood ratio (LR)
Time Frame: Baseline
|
Positive predictive value (PPV) and negative predictive value (NPV), accuracy and likelihood ratio (LR) of the T-cell activation test in the diagnosis of amoxicillin allergy.
|
Baseline
|
|
Percentage of cases with a positive TAT and positive IgE and/or skin test
Time Frame: Baseline
|
Percentage of cases with a positive TAT and positive IgE and/or skin test
|
Baseline
|
|
Association between the severity of the index reaction and the performance of TAT in terms of odds ratio.
Time Frame: Baseline
|
The impact of severity of the index reaction on TAT-positivity will be studied in a logistic regression model.
Odds ratios and 95% confidence intervals will be reported.
|
Baseline
|
|
Association between the time since the index reaction and the performance of TAT in terms of odds ratio.
Time Frame: Basline
|
The impact of the time since the index reaction on TAT-positivity will be studied in a logistic regression model.
Odds ratios and 95% confidence intervals will be reported.
|
Basline
|
|
Association between IDHR/non-IDHR and the performance of TAT in terms of odds ratio.
Time Frame: Baseline
|
The impact of IDHR/non-IDHR on TAT-positivity will be studied in a logistic regression model.
Odds ratios and 95% confidence intervals will be reported.
|
Baseline
|
|
Association between the severity of the index reaction and the net percentage of intracellular T-cell activation marker CD154.
Time Frame: Baseline
|
The impact of severity of the index reaction on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers CD154 as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between the severity of the index reaction and the net percentage of intracellular T-cell activation marker IL-4.
Time Frame: Baseline
|
The impact of severity of the index reaction on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers IL-4 as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between the severity of the index reaction and the net percentage of cytokine IFN-γ.
Time Frame: Baseline
|
The impact of severity of the index reaction on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers IFN-γ as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between the time since the index reaction and the net percentage of intracellular T-cell activation marker CD154.
Time Frame: Baseline
|
The impact of the time since the index reaction on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers CD154 as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between the time since the index reaction and the net percentage of intracellular T-cell activation marker IL-4.
Time Frame: Baseline
|
The impact of the time since the index reaction on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers IL-4 as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between the time since the index reaction and the net percentage of cytokine IFN-γ.
Time Frame: Baseline
|
The impact of time since the index reaction on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers IFN-γ as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between IDHR / non-IDHR and the net percentage of intracellular T-cell activation marker CD154.
Time Frame: Baseline
|
The impact of IDHR / non-IDHR on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers CD154 as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between IDHR / non-IDHR and the net percentage of intracellular T-cell activation marker IL-4.
Time Frame: Baseline
|
The impact of IDHR / non-IDHR on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers IL-4 as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Association between IDHR / non-IDHR and the net percentage of cytokine IFN-γ.
Time Frame: Baseline
|
The impact of IDHR / non-IDHR on the individual components of TAT will be studied in linear regression models, with respectively net percentage of intracellular T-cell activation markers IFN-γ as dependent variable.
Unstandardized and standardized coefficients and standard errors will be reported.
|
Baseline
|
|
Sensitivity and specificity of TAT in subgroup of cases and controls with immediate and nonimmediate reactors
Time Frame: Baseline
|
Sensitivity and specificity of T-cell activation test in a subgroup of cases and controls with immediate and nonimmediate reactors
|
Baseline
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity of TAT 1 year and 3 years after diagnosis
Time Frame: After 1 and 3 years
|
Sensitivity of TAT 1 year and 3 years after diagnosis of patients with amoxicillin allergy
|
After 1 and 3 years
|
|
Evolution TAT-components over time
Time Frame: After 1 and 3 years
|
Evolution TAT-components over time in patients with amoxicillin allergy
|
After 1 and 3 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Didier Ebo, PhD, University Hospital, Antwerp
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 003220
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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