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| Name | Class |
|---|---|
| University College, London | OTHER |
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Getting the right dose of antibiotic promptly is an important part of treating infections. Unfortunately, when an infection is severe (sepsis) the body changes how it processes antibiotics. Consequently, some people with severe infection retain antibiotics for too long (risking adverse effects), whilst others excrete antibiotics too quickly (risking under-treatment).
Mathematical models can help researchers understand drug handling variability (known as pharmacokinetics) between people. These models require very accurate information about drug administration and drug blood concentration timings. Researchers usually rely on someone recording these timings, but recording errors can make models inaccurate.
We would like to understand if using data from routinely used electronic drug infusion devices (recording the exact time of administration) can improve the accuracy of pharmacokinetic models. We intend to investigate this with an antibiotic (vancomycin) that clinicians already routinely monitor blood concentrations for. Adults and children treated at St George's Hospital intensive care units will be invited to participate in the study which will last for 28-days within a 14-month period. Participants will donate a small amount of extra blood and provide researchers access to their clinical data. Blood will be taken at special times during vancomycin treatment from lines placed as part of standard treatment, minimising any pain or distress. There will be no other changes to patient's treatment.
In the future, data from this study might help change the way we dose antibiotics. The National Institute for Health and Care Research and Pharmacy Research UK are supporting the study with funding.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Critically Ill Adults and Children | Adults and children from 1-day old admitted to a critical care unit. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Drug Infusion Pump Monitoring | Other | Intravenous vancomycin administration accuracy will be determined by comparing data obtained from drug infusion pumps with manually input administration times from the electronic Prescribing and Medicines Administration (ePMA) system. |
| Measure | Description | Time Frame |
|---|---|---|
| Objective Function Value | Pharmacokinetic model fit determined quantitively by Objective Function Value (2.log likelihood) using vancomycin administration time data recorded by patient's bedside drug infusion devices compared to manually recorded data | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Measure | Description | Time Frame |
|---|---|---|
| Participant Vancomycin Volume of Distribution | Calculation of participant's vancomycin volume of distribution (litres) using non-linear mixed effects modelling methods from obtained non-protein bound and total vancomycin concentrations and patient's drug infusion device obtained administration time data | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Measure | Description | Time Frame |
|---|---|---|
| Association Between Participant's Mean 24-hour AUC:MIC and Microbiological Cure | Microbiological cure defined as eradicated baseline microorganisms and no new microorganisms are identified via bacterial cultures (if available), plus, the patient has received allocated treatment for at least 2-days with no modification or a failure | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
Inclusion Criteria:
Exclusion Criteria:
In paediatrics:
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Adults and children admitted to an intensive care unit and administered intravenous vancomycin for prevention/treatment of an infection
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St Georges University Hospitals NHS Foundation Trust | London | London | SW17 0QT | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | Oakley R, Bakrania P, Yau T, Standing J, Lonsdale D. Variable adherence to and effectiveness of a vancomycin continuous infusion protocol within ICUs at a London tertiary-care hospital: a single-centre retrospective service evaluation 2022;4:dlac004.036. https://doi.org/10.1093/jacamr/dlac004.036 | ||
| 37305849 | Background | Correction to: Improving adherence to and effectiveness of an adult critical care vancomycin continuous infusion protocol: a pilot quality improvement and administration data accuracy project. JAC Antimicrob Resist. 2023 Jun 8;5(3):dlad075. doi: 10.1093/jacamr/dlad075. eCollection 2023 Jun. |
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Fully anonymised collected patient data may be shared if consent provided with select research collaborators
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| Participant Vancomycin Clearance | Calculation of participant vancomycin clearance (litres/hour) using non-linear mixed effects modelling methods using obtained non-protein bound and total vancomycin concentrations and participant's drug infusion device derived administration time data | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Participant 24-hour Area Under the Vancomycin Concentration Time Curve (AUC) | Calculation of participant's AUC (milligrams.hour/litre) using obtained non-protein bound and total vancomycin concentrations and participant's drug infusion device derived administration time data | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Participant 24-hour AUC:MIC Ratio | Calculation of the area under the 24-hour non-protein bound and total vancomycin concentration AUC/bacterial minimum inhibitory concentration (MIC) ratio using an empiric MIC of 1mg/L or MIC of obtained isolates (if available) using trapezial rule or vancomycin dose and calculated clearance | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Association Between Participant's Mean 24-hour AUC:MIC and Length of Intensive Care (ICU) Unit Stay | ICU stay quantified by days since admission, categories include: <2 days, < 7 days, <14 days, >14 days | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Association Between Participant's Mean 24-hour AUC:MIC and Infection Related Mortality | Cause of mortality will be derived from participant's medical notes | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Association Between Participant's Mean 24-hour AUC:MIC and Infection related ICU Re-admission | Cause of re-admission will be derived from participant's medical notes | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Association Between Participant's Mean 24-hour AUC:MIC and Vancomycin Associated Acute Kidney Injury (AKI) | AKI defined by Kidney Disease: Improving Global Outcomes (KDIGO) Criteria | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| Association Between Participant's Mean 24-hour AUC:MIC and Adult National Early Warning Score (NEWS2) or Paediatric Early Warning Score (PEWS3) | Warning scores calculated on day of (and closest to) first dose of study recorded vancomycin treatment course, between 2-3 days since vancomycin course initiation and at end of vancomycin course or 28 days from first study recorded administration of vancomycin | Within collection of 15 vancomycin serum concentrations or 28 days from first study recorded administration of vancomycin |
| ID | Term |
|---|---|
| D001424 | Bacterial Infections |
| D018805 | Sepsis |
| D012772 | Shock, Septic |
| D016470 | Bacteremia |
| D016638 | Critical Illness |
| ID | Term |
|---|---|
| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012769 | Shock |
| D020969 | Disease Attributes |
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