ORIGINAL ARTICLES  CRITICAL AND INTENSIVE CARE Free access

Minerva Anestesiologica 2004 January-February;70(1-2):63-9

Copyright © 2003 EDIZIONI MINERVA MEDICA

language: English, Italian

Candidemia in Intensive Care patients. Risk factors and mortality

Piazza O. ¹, Boccia M. C. ², Iasiello A. ¹, Storti M. P. ¹, Tufano R. ¹, Triassi M. ²

¹ Department of Surgical, Anesthesiological Resuscitation and Emergency Sciences “Federico II” University, Naples, Italy 2 Department of Preventive Medical Sciences “Federico II” University, Naples, Italy

Aim. Aim of this study was to evaluate if the risk factors for candidemia could be used to identify patients who have a greater possibility of death after Candida spp blood infection.
Methods. A retrospective observational comparative study. Setting: the Intensive Care Unit of an University Hospital. Patients: 478 critical patients were included in this study. Neutro-penic and immuno-suppressed patients were excluded. Interventions: routine care for acutely ill patients, with regard to their pathology. Measurements: age, APACHE II at the admission, length of stay in the ICU before the diagnosis of candidemia and whole length of stay, outcome, risk factors for candidemia (Candida colonisation, previous antibiotic therapy, central vein, mechanical ventilation, abdominal surgery, hemodialysis, adult respiratory distress syndrome, chronic obstructive pulmonary disease, diabetes, malignancy, splenectomy, immunosuppression, total parenteral nutrition, malnutrition) and clinical signs of multiorgan failure, systemic inflammatory response syndrome, sepsis or shock, concomitant presence of other infections.
Results. Twelve Candida spp blood infections were diagnosed. All the risk factors were homogenously distributed between patients who survived and those who died with the exception of the malnutrition state, associated with a higher mortality rate.
Conclusion. If the candidemia is present, none of the risk factors for the onset of fungemia considered in this study, but the malnutrition state, are mortality predictors.