Clinical, microbiological and laboratory predictors of on- and off-label dalbavancin treatment failure
Dalbavancin
Off-label use
DOI:
10.1016/j.jgar.2025.05.014
Publication Date:
2025-05-15T23:37:10Z
AUTHORS (8)
ABSTRACT
Data about risk factors for treatment failure (TF) to dalbavancin are lacking. Our aim was investigate the clinical, microbiological and laboratory predictors of TF in both on- off-label treatments. We included all patients who received at least one dose our center from January 2018 June 2024 with available data on follow-up, collecting clinical parameters. defined as need readmission, emergency department access, or death within 90 days after treatment. Factors correlating mortality rate were assessed by multivariable analyses Kaplan Meier curves. Three-hundred-fifty-one included, mostly males (60.9%), median age 64 years (IQR:49.5-75.5), 55.3% receiving department/outpatient setting, 44.7% an early discharge, 54.9% cases off-label. The main indications osteomyelitis, prosthetic infections, endocarditis (17.1%, 8.3%, 7.7%). In 53.3% cases, a isolate (MRSA 49.2% cases). Overall, 19.4%. analysis showed that intravenous drug use (HR:7.99, p<0.001), diabetes (HR:6.1, obesity (HR: 4.5, cancer (HR:5.3, HIV (HR:4.88, levels CRP initiation (HR=1.01, p<0.001, HR=0.72, p=0.02) associated TF. Additionally, duration antibiotic therapy before being discharged influenced outcomes group (HR=0.52, p=0.02). observed high, particularly uses among individuals multiple comorbidities use. More evidences needed better define optimal patient profile effective
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