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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MIPD Group | Experimental |
| |
| Standard of Care Group | No Intervention |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MIPD Tool | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Predictive Accuracy of Model-Informed Precision Dosing (MIPD) Based on Median Absolute Error (MdAE) | 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) | 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) | 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Change in C-Reactive Protein (CRP) Level | 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 |
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Inclusion Criteria
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hacettepe University | Ankara | 06100 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41710930 | Derived | Bayraktar I, Kasikci M, Benek Z, Allegaert K, Egehan Oruncu B, Kesici S, Bayrakci B, Yalcin N. A prospective feasibility study evaluating the implementation of model-informed precision dosing in critically ill children. Front Pharmacol. 2026 Feb 3;17:1733291. doi: 10.3389/fphar.2026.1733291. eCollection 2026. |
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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 | 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 | 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) |