Model-Informed Precision Dosing on Amikacin and Vancomycin Therapy in Critically Ill Children

December 23, 2025 updated by: Nadir Yalçın, Hacettepe University

Model-Informed Precision Dosing on Amikacin and Vancomycin Therapy in Critically Ill Children: A Pilot Randomized Clinical Trial

Achieving optimal antibiotic exposure in critically ill pediatric patients is difficult due to (their) dynamic physiology and variability. Conventional weight-based regimens often fail to reach pharmacokinetic/pharmacodynamic (PK/PD) targets for narrow therapeutic index agents such as vancomycin and amikacin. Model-Informed Precision Dosing (MIPD), which integrates Bayesian forecasting with population pharmacokinetics (popPK), offers a potentially valuable yet underexplored approach in pediatric intensive care to better attain and sustain target exposure. This pilot randomized clinical trial evaluated MIPD-guided dosing of vancomycin and amikacin using InsightRX Nova® versus standard of care (SoC) in a tertiary PICU. Patients whose model-recommended doses matched standard regimens were analyzed under SoC. Primary outcomes included prediction accuracy (a priori vs a posteriori) and model fit; secondary outcomes assessed dose optimization, inflammatory response, renal safety, treatment duration, and mortality.

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

41

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child

Accepts Healthy Volunteers

No

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Standard of Care Group
Experimental: MIPD Group

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

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)
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)
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.
From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)
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.
From first therapeutic drug monitoring (TDM) sample to second TDM sample (typically within 3-5 days of therapy)

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.
Baseline to approximately day 3-5 of therapy
Change in Procalcitonin Level
Time Frame: Baseline to approximately day 3-5 of therapy
The absolute change in serum procalcitonin level from baseline to the time of the second TDM sample will be assessed.
Baseline to approximately day 3-5 of therapy
Change in Serum Creatinine Level
Time Frame: Baseline to approximately day 3-5 of therapy
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.
Baseline to approximately day 3-5 of therapy
Change in Pharmacokinetic Model-Fit Category
Time Frame: From first to second TDM sample (typically within 3-5 days)
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.
From first to second TDM sample (typically within 3-5 days)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 1, 2023

Primary Completion (Actual)

August 30, 2025

Study Completion (Actual)

October 27, 2025

Study Registration Dates

First Submitted

November 28, 2025

First Submitted That Met QC Criteria

December 23, 2025

First Posted (Estimated)

January 2, 2026

Study Record Updates

Last Update Posted (Estimated)

January 2, 2026

Last Update Submitted That Met QC Criteria

December 23, 2025

Last Verified

November 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • Neo-MIPD

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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