Journal of Global Antimicrobial Resistance (Sep 2024)

Risk factors for mortality in Acinetobacter baumannii bloodstream infections and development of a predictive mortality model

  • Silvia Corcione,
  • Bianca Maria Longo,
  • Silvia Scabini,
  • Emanuele Pivetta,
  • Antonio Curtoni,
  • Nour Shbaklo,
  • Cristina Costa,
  • Francesco Giuseppe De Rosa

Journal volume & issue
Vol. 38
pp. 317 – 326

Abstract

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Objectives: Acinetobacter baumannii (A. baumannii) nosocomial infections represent a serious hazard to public health, given high mortality rates and rapid spread of multidrug-resistance. The primary outcome of this study was to evaluate predictors of 14- and 30-d mortality in bloodstream infections (BSIs) due to both carbapenem-resistant and carbapenem-sensitive Acinetobacter. Secondary end points were to identify risk factors for BSIs due to carbapenem-resistant A. baumannii (CRAB) and to develop a predictive model for mortality in CRAB-related BSIs. Methods: Between 2019 and 2023, all consecutive hospitalized adult patients with bacteraemia due to A. baumannii were retrospectively enrolled at a single-centre. Results: One hundred twenty-six episodes of BSI caused by A. baumannii were recorded, 89.7% of which were due to CRAB. Recent burn injuries, older age, previous CRAB colonization, and antibiotics exposure were identified as risk factors for acquiring CRAB BSI. Overall, 14-d mortality was observed in 26.1% of the patients and 30-d mortality in 30.9% of the patients. On multivariate analysis, the Sequential Organ Failure Assessment (SOFA) score was associated with both 14- and 30-d mortality, whereas burn injuries correlated with 30-d survival. Concurrent coronavirus disease (COVID) was associated with mortality, although not reaching statistical figures. No major impact of receiving appropriate treatment was observed. Based on these findings, a multivariable model to predict mortality among patients with CRAB BSI was built and internally validated. Conclusions: A. baumannii BSIs are characterized by poor outcomes and limited therapeutic options. This study aimed to assist physicians in prompt identification of patients who are at greater risk of death, contributing to more informed clinical decision making.

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