External Validation of the Beta-lactam Target Non-attainment (BATMAN) Risk Score in Adult ICU Patients: a Diagnostic Multivariate Predictive Risk Model

Overview

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.

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.

Conditions