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Optimizing Vancomycin Therapy in Children

Optimizing Vancomycin Therapy in Children

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05691309
Acronym
Opt Vanc
Enrollment
29
Registered
2023-01-20
Start date
2022-12-12
Completion date
2023-11-22
Last updated
2024-12-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Critical Illness, Drug Toxicity, Infections, Sepsis

Brief summary

The purpose of Opt Vanc is to evaluate the feasibility of Bayesian dose adaptation, based on a previously-developed population pharmacokinetic (PK) model and a single optimally timed PK sample, to predict vancomycin area under the curve (AUC) in critically ill children.

Detailed description

Opt Vanc is an observational study of critically ill children prescribed IV vancomycin for a suspected infection at the Children's Hospital of Philadelphia. This study will evaluate how well Bayesian dose adaptation, based on a previously-developed population pharmacokinetic (PK) model for vancomycin and a single optimally timed vancomycin concentration, can predict vancomycin area under the curve (AUC) in critically ill children. Eligible subjects will be prescribed vancomycin and undergo routine therapeutic drug monitoring (TDM) per standard of care. At the time of TDM, each subject will have a vancomycin concentration obtained at the most informative sampling time to estimate AUC, as determined by the multiple-model optimal sampling function in PMetrics (population PK modeling program). Investigators will then compare the AUC determined using Bayesian estimation and the subject's optimally timed vancomycin concentration to the AUC determined using Bayesian estimation with all available concentrations (TDM samples plus the optimally timed sample). Investigators will also examine how AUC estimation compares to AUC calculated using standard-of-care methods (ie, log-linear equations). Further, Investigators will evaluate how well the population PK model, along with a subject's measured covariates and the optimally timed PK sample, can predict a subject's future vancomycin AUC.

Interventions

None listed

Sponsors

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
CollaboratorNIH
Children's Hospital of Philadelphia
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
1 Years to 17 Years
Healthy volunteers
No

Inclusion criteria

* Administered intravenous vancomycin via intermittent infusion, * Eligible for vancomycin AUC monitoring, per the subject's clinical team, and * Parental/guardian permission (informed consent).

Exclusion criteria

* Receipt of renal replacement therapy, plasmapheresis, or extracorporeal membrane oxygenation (ECMO), or * Unable to provide urine and blood samples.

Design outcomes

Primary

MeasureTime frameDescription
24-hour Vancomycin Area Under the Curve (AUC) From Optimally Timed Concentrationwithin 24-48 hours following enrollmentThis 24-hour vancomycin area under the curve (AUC) will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and the optimally timed vancomycin concentration

Secondary

MeasureTime frameDescription
24-hour Vancomycin Area Under the Curve (AUC) Estimated Using All Available Vancomycin Concentrationswithin 24-48 hours following enrollmentThis 24-hour vancomycin area under the curve (AUC) will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and all available measured vancomycin concentrations
24-hour Vancomycin Area Under the Curve (AUC) Calculated Using Standard-of-care Methodswithin 24-48 hours following enrollmentThis 24-hour vancomycin area under the curve (AUC) will be calculated using standard clinical methods (Zaske-Sawchuk method)
Visit 2 Vancomycin Area Under the Curve (AUC) Using Optimally Timed Concentration24-72 hours after visit 1The predicted 24-hour vancomycin area under the curve (AUC) at visit 2 will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and the optimally timed vancomycin concentration at visit 1
Visit 2 Vancomycin Area Under the Curve (AUC) Using All Available Vancomycin Concentrations24-72 hours after visit 1The predicted 24-hour vancomycin area under the curve (AUC) at visit 2 will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and all available vancomycin concentrations
Visit 2 Vancomycin Area Under the Curve (AUC) Calculated Using Standard-of-care Methods24-72 hours after visit 1This 24-hour vancomycin area under the curve (AUC) will be calculated using standard clinical methods (Zaske-Sawchuk method) based on measured concentrations at visit 2

Countries

United States

Participant flow

Recruitment details

Participants were recruited based on clinical receipt of IV vancomycin for a suspected infection and plans for therapeutic drug monitoring.

Pre-assignment details

Of 29 enrolled participants, 22 met inclusion criteria and had optimal sampling time determination performed.

Participants by arm

ArmCount
Study Cohort
Recipients of vancomycin
18
Total18

Withdrawals & dropouts

PeriodReasonFG000
Overall Studyvancomycin discontinued by clinical team2
Overall Studyvancomycin levels not evaluable2

Baseline characteristics

CharacteristicStudy Cohort
Age, Categorical
<=18 years
18 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
0 Participants
Age, Continuous6.1 years
Estimated glomerular filtration rate (GFR)136 mL/min/1.73m^2
Ethnicity (NIH/OMB)
Hispanic or Latino
3 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
15 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
1 Participants
Race (NIH/OMB)
Black or African American
3 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
4 Participants
Race (NIH/OMB)
White
10 Participants
Sex: Female, Male
Female
11 Participants
Sex: Female, Male
Male
7 Participants
Weight20 kilograms

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 0
other
Total, other adverse events
0 / 0
serious
Total, serious adverse events
0 / 0

Outcome results

Primary

24-hour Vancomycin Area Under the Curve (AUC) From Optimally Timed Concentration

This 24-hour vancomycin area under the curve (AUC) will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and the optimally timed vancomycin concentration

Time frame: within 24-48 hours following enrollment

ArmMeasureValue (MEDIAN)
Study Cohort24-hour Vancomycin Area Under the Curve (AUC) From Optimally Timed Concentration494 mg*hr/L
Secondary

24-hour Vancomycin Area Under the Curve (AUC) Calculated Using Standard-of-care Methods

This 24-hour vancomycin area under the curve (AUC) will be calculated using standard clinical methods (Zaske-Sawchuk method)

Time frame: within 24-48 hours following enrollment

ArmMeasureValue (MEDIAN)
Study Cohort24-hour Vancomycin Area Under the Curve (AUC) Calculated Using Standard-of-care Methods526 mg*hr/L
Secondary

24-hour Vancomycin Area Under the Curve (AUC) Estimated Using All Available Vancomycin Concentrations

This 24-hour vancomycin area under the curve (AUC) will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and all available measured vancomycin concentrations

Time frame: within 24-48 hours following enrollment

ArmMeasureValue (MEDIAN)
Study Cohort24-hour Vancomycin Area Under the Curve (AUC) Estimated Using All Available Vancomycin Concentrations495 mg*hr/L
Secondary

Visit 2 Vancomycin Area Under the Curve (AUC) Calculated Using Standard-of-care Methods

This 24-hour vancomycin area under the curve (AUC) will be calculated using standard clinical methods (Zaske-Sawchuk method) based on measured concentrations at visit 2

Time frame: 24-72 hours after visit 1

Population: Given the short timeframe, only 7 subjects had data available for this outcome measure.

ArmMeasureValue (MEDIAN)
Study CohortVisit 2 Vancomycin Area Under the Curve (AUC) Calculated Using Standard-of-care Methods486 mg*hr/L
Secondary

Visit 2 Vancomycin Area Under the Curve (AUC) Using All Available Vancomycin Concentrations

The predicted 24-hour vancomycin area under the curve (AUC) at visit 2 will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and all available vancomycin concentrations

Time frame: 24-72 hours after visit 1

Population: Given the short timeframe, only 11 subjects had data available for this outcome measure.

ArmMeasureValue (MEDIAN)
Study CohortVisit 2 Vancomycin Area Under the Curve (AUC) Using All Available Vancomycin Concentrations502 mg*hr/L
Secondary

Visit 2 Vancomycin Area Under the Curve (AUC) Using Optimally Timed Concentration

The predicted 24-hour vancomycin area under the curve (AUC) at visit 2 will be estimated using Bayesian estimation based on the population pharmacokinetic (PK) model, a subject's measured covariates and the optimally timed vancomycin concentration at visit 1

Time frame: 24-72 hours after visit 1

Population: Given the short timeframe, only 11 subjects had data available for this outcome measure.

ArmMeasureValue (MEDIAN)
Study CohortVisit 2 Vancomycin Area Under the Curve (AUC) Using Optimally Timed Concentration500 mg*hr/L

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026