- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05542771
External Validation of the Beta-lactam Target Non-attainment (BATMAN) Risk Score in Adult ICU Patients: a Diagnostic Multivariate Predictive Risk Model (BATMAN)
May 23, 2023 updated by: Chantal Kats
Intensive care (IC) patients regularly get infections.
Sometimes it is even the reason of admission to the intensive care unit.
To treat these infections, we give medicines called antibiotics, such as β-lactams antibiotics.
Every IC patient receives the same dose of β-lactams antibiotics, while we know this can lead to undertreatment in some IC patients.
The BATMAN risk score was created to predict which IC patient is undertreated.
This study aims to validate the BATMAN risk score so it can be used in clinical practice.
Study Overview
Status
Recruiting
Detailed Description
In order to predict which intensive care unit (ICU) patients are not likely to achieve target attainment of beta-lactam antibiotics, a diagnostic multivariable prediction model was developed using random forest analysis.
Gender, age, creatinine, and type of beta-lactam antibiotic were included in the final model and translated into a user-friendly and easy-to-implement risk score.
As the name suggests, the beta-lactam target non-attainment (BATMAN) risk score predicts which adult ICU patients fail to achieve target attainment and intents efficient use of TDM of beta-lactam antibiotics.
In order to use the BATMAN risk score in as many hospitals as possible in clinical practice, an external validation will be performed by a multicenter prospective observational study.
All adult ICU patients admitted to the participating hospitals that are treated with beta-lactam antibiotics will be screened for eligibility.
One beta-lactam trough plasma concentration, clinical and non-clinical data will be collected prospectively.
To our knowledge, no other beta-lactam target non-attainment risk score for adult ICU patients has yet been developed let alone externally validated.
This research is essential because ICU patients are a highly heterogenic group of patients that undergo extensive physiological alterations that will have impact on antibiotic pharmacokinetics, such as beta-lactam antibiotics.
For the beta-lactams, achievement of an adequate drug level is associated with a higher likelihood of clinical success and a decrease in the potential for antimicrobial resistance.
Yet, target attainment remains a challenge with the traditional 'one-dose-fits-all' strategy.
Study Type
Observational
Enrollment (Estimated)
130
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Chantal Kats, MSc
- Phone Number: +31634424848
- Email: c.kats@haaglandenmc.nl
Study Locations
-
-
-
Utrecht, Netherlands, 3582 KE
- Not yet recruiting
- Diakonessenhuis
-
Contact:
- Attila Karakus, MD
-
Principal Investigator:
- Attila Karakus, MD
-
-
Gelderland
-
Zwolle, Gelderland, Netherlands, 8025 AB
- Not yet recruiting
- Isala Hospital
-
Contact:
- Jasper Haringman, MD
-
Principal Investigator:
- Jasper Haringman, MD
-
Sub-Investigator:
- André Wieringa, MSc
-
-
Limburg
-
Venlo, Limburg, Netherlands, 5912 BL
- Recruiting
- Viecuri Medical Center
-
Contact:
- Manon Fleuren-Janssen
-
Principal Investigator:
- Manon Fleuren-Janssen
-
-
South-Holland
-
Rotterdam, South-Holland, Netherlands, 3015 GD
- Recruiting
- Erasmus Medical Center
-
Contact:
- Alan Abdulla, PhD, MD
-
Principal Investigator:
- Alan Abdulla, PhD, MD
-
Sub-Investigator:
- Nicole Hunfeld, PhD, MD
-
Sub-Investigator:
- Rik Endeman, PhD, MD
-
Rotterdam, South-Holland, Netherlands, 3045 PM
- Not yet recruiting
- Franciscus Gasthuis & Vlietland
-
Contact:
- Dorien Kiers, MD
-
Principal Investigator:
- Dorien Kiers, MD
-
The Hague, South-Holland, Netherlands, 2512VA
- Not yet recruiting
- Haaglanden Medisch Centrum
-
Contact:
- Chantal Kats, MSc
-
Principal Investigator:
- Peter Van Vliet, PhD, MD
-
-
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
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
All adult patients admitted to the adult general ICU wards and treated with the target antibiotics who meet the inclusion criteria will be included.
Description
Inclusion criteria:
- Written informed consent has been obtained from the patient or their legally authorised representative
- Age ≥18 years
Treated with one of the following beta-lactam antibiotics at the ICU with intermitted dosage
- Amoxicillin (with or without clavulanic acid)
- Cefotaxime
- Ceftazidime
- Cefuroxime
- Flucloxacillin
- Meropenem
- Piperacillin with tazobactam
- Eligible blood material within 36 hours after start of beta-lactam antibiotic to determine target attainment (100%ƒT > MICECOFF).
- Suitable intravenous/intra-arterial access to facilitate sample collection
Exclusion Criteria:
- Pregnancy
- Beta-lactam antibiotic cessation before blood sample collection
- Receiving beta-lactam antibiotic only as prophylaxis within the context of Selective Digestive tract Decontamination (SDD)
- Patients with renal replacement therapy
- Patients with burn injury
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
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Discrimination
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
The discrimination of the diagnostic risk score will be displayed in the concordance index (c-index), which is identical to the area under the receiver operating curve (AUROC), where the true positive rate (y-axis) will be plotted against the false positive rate (x-axis).
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Calibration
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
The calibration of the risk score will be assessed with a calibration plot, where the average predicted risk of target non-attainment is compared with the overall event rate of target non-attainment.
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Negative predictive value
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
The ratio of subjects truly diagnosed as negative (target attainment) to all those who had negative test results
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Positive predictive value
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
The ratio of subjects truly diagnosed as positive (target non-attainment) to all those who had positive test results.
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Sensitivity
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Sensitivity is the percentage of true positives.
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Specificity
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Specificity is the percentage of true negatives.
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Misclassification
Time Frame: Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Percentage of observations that were incorrectly predicted (false negatives and false positives)
|
Target attainment prediction based on the BATMAN risk score is calculated with patient data within 36 hours after of start therapy. Target attainment based on serum levels are based are measured within 36 hours after start of therapy.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Alan Adulla, PhD, Erasmus Medical Center
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)
April 24, 2023
Primary Completion (Estimated)
October 1, 2023
Study Completion (Estimated)
November 1, 2023
Study Registration Dates
First Submitted
August 30, 2022
First Submitted That Met QC Criteria
September 13, 2022
First Posted (Actual)
September 15, 2022
Study Record Updates
Last Update Posted (Actual)
May 25, 2023
Last Update Submitted That Met QC Criteria
May 23, 2023
Last Verified
May 1, 2023
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- NL181245.078.22
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
IPD will not be shared to other researchers
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
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.
Clinical Trials on Infection, Bacterial
-
NovartisNovartis VaccinesCompletedBacterial Infection | Streptococcal Infection | Gram-positive Bacterial InfectionBelgium, Canada
-
Kirby InstituteNot yet recruitingInvasive Fungal Infections | Infection, Bacterial | Infection, Fungal | Injection Site Infection | Infection, Soft Tissue | Invasive Bacterial Infection
-
Centre Hospitalier Universitaire de BesanconUnknownAntibiotic Resistant Infection | Resistant Infection | Beta Lactam Resistant Bacterial Infection | Bacterial Resistance
-
Assistance Publique Hopitaux De MarseilleUnknown
-
University of DuhokNot yet recruiting
-
Melinta Therapeutics, Inc.Department of Health and Human ServicesCompletedBacterial InfectionUnited States, Bulgaria
-
University of OxfordCompletedPleural Infection | Pleural Infection BacterialUnited Kingdom
-
Jena University HospitalTerminatedSevere Bacterial InfectionBrazil, Colombia, Germany, Turkey
-
PfizerAllerganTerminatedGram-negative Bacterial InfectionUnited States, Hungary, Slovakia, Taiwan, India, Estonia, Greece, Italy
-
PfizerCompletedGram-negative Bacterial InfectionAustralia