Model-Informed Precision Dosing on Amikacin and Vancomycin Therapy in Critically Ill Children
Model-Informed Precision Dosing on Amikacin and Vancomycin Therapy in Critically Ill Children: A Pilot Randomized Clinical Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
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Ankara, Turkey (Türkiye), 06100
- Hacettepe University
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Description
Inclusion Criteria
- Hospitalized patients (NICU) receiving vancomycin or amikacin
- Treatment with vancomycin or amikacin initiated during hospitalization
- At least one therapeutic drug monitoring (TDM) measurement obtained Exclusion Criteria
- Failure to obtain written informed consent
- Death within the first 24 hours after treatment initiation
- Discontinuation of therapy before the first TDM measurement
- Determined unsuitable for study participation by the treating physician
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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No Intervention: Standard of Care Group
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Experimental: MIPD Group
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It is a precision dosing platform that combines population pharmacokinetic/pharmacodynamic (popPK/PD) modeling with artificial intelligence and machine learning to optimize individualized drug therapy. It uses patient-specific demographic, clinical, and laboratory data to generate real-time personalized dosing recommendations based on validated popPK models. |
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Predictive Accuracy of Model-Informed Precision Dosing (MIPD) Based on Median Absolute Error (MdAE)
Time Frame: From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
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Predictive accuracy of the pharmacokinetic model will be evaluated by calculating the Median Absolute Error (MdAE) between model-predicted and observed antibiotic serum concentrations.
MdAE was prespecified as the primary accuracy metric due to its robustness to outliers in small pediatric samples.
|
From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
|
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Predictive Accuracy of Model-Informed Precision Dosing (MIPD) Based on Mean Absolute Error (MAE)
Time Frame: From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
|
Mean Absolute Error (MAE) between model-predicted and observed serum antibiotic concentrations will be calculated to assess overall prediction error.
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From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
|
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Predictive Accuracy of Model-Informed Precision Dosing (MIPD) Based on Median Error (MdE)
Time Frame: From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
|
Median Error (MdE) will be calculated to evaluate directional bias between predicted and observed serum antibiotic concentrations.
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From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in C-Reactive Protein (CRP) Level
Time Frame: Baseline to approximately day 3-5 of therapy
|
The absolute change in serum C-reactive protein (CRP) level from baseline (within 24 hours of antibiotic initiation) to the time of the second TDM sample will be evaluated as an inflammatory response marker.
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Baseline to approximately day 3-5 of therapy
|
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Change in Procalcitonin Level
Time Frame: Baseline to approximately day 3-5 of therapy
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The absolute change in serum procalcitonin level from baseline to the time of the second TDM sample will be assessed.
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Baseline to approximately day 3-5 of therapy
|
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Change in Serum Creatinine Level
Time Frame: Baseline to approximately day 3-5 of therapy
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The absolute change in serum creatinine level from baseline to the time of the second TDM sample will be evaluated as a marker of renal safety.
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Baseline to approximately day 3-5 of therapy
|
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Change in Pharmacokinetic Model-Fit Category
Time Frame: From first to second TDM sample (typically within 3-5 days)
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Within-patient change in pharmacokinetic model-fit category (poor, intermediate, good) between the first and second TDM measurements will be assessed to evaluate improvement in model performance after Bayesian updating.
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From first to second TDM sample (typically within 3-5 days)
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimated)
First Posted
Study Record Updates
Last Update Posted (Estimated)
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
Other Study ID Numbers
Other Study ID Numbers
- Neo-MIPD
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
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