Emanuela Sozio1, Filippo Pieralli2, Anna Maria Azzini3, Giancarlo Tintori4, Federica Demma5, Gianluca Furneri5, Francesco Sbrana6, Giacomo Bertolino7, Simona Fortunato8, Simone Meini9, Damiano Bragantini3, Alessandro Morettini10, Carlo Nozzoli10, Francesco Menichetti8, Ercole Concia3, Carlo Tascini11. 1. Emergency Department, North-West District, Tuscany HealthCare, Spedali Riuniti Livorno, Viale Alfieri 36, 57100, Leghorn, Italy. emanuela.sozio@gmail.com. 2. Intermediate Care Unit, Azienda Ospedaliera Universitaria Careggi, Florence, Italy. 3. Infectious Disease Unit, Azienda Ospedaliera Universitaria Integrata di Verona, p.Le LA Scuro, Verona, Italy. 4. Emergency Medicine Unit, Nuovo Santa Chiara University Hospital, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy. 5. Health Economics and Outcome Research Department-EBMA Consulting, Milan, Italy. 6. Fondazione Toscana Gabriele Monasterio, Pisa, Italy. 7. Pharmaceutical Department, Ospedale di Sassuolo, Modena, Italy. 8. Infectious Diseases Clinic, Nuovo Santa Chiara University Hospital, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy. 9. Department of Internal Medicine, S.M. Annunziata Hospital, Florence, Italy. 10. Internal Medicine Unit, Azienda Ospedaliera Universitaria Careggi, Florence, Italy. 11. First Division of Infectious Diseases, Cotugno Hospital, Azienda Ospedaliera dei Colli, Naples, Italy.
Abstract
PURPOSE: Increasing prevalence of candidemia in Internal Medicine wards (IMWs) has been reported in recent years, but risk factors for candida bloodstream infection in patients admitted to IMW may differ from those known in other settings. The aim of this study was to identify risk factors and define a prediction rule for the early recognition of the risk of candidemia in IMW inpatients. METHODS: This was a multicentric, retrospective, observational case-control study on non-neutropenic patients with candidemia admitted to IMWs of four large Italian Hospitals. Each eligible patient with candidemia (case) was matched to a control with bacteremia. Stepwise logistic regression analyses were performed. RESULTS: Overall, 300 patients (150 cases and 150 controls) were enrolled. The following factors were associated with an increased risk of candidemia and weighted to build a score: total parenteral nutrition (OR 2.45, p = 0.008; 1 point); central venous catheter (OR 2.19, p = 0.031; 1 point); peripherally inserted central catheter (OR 5.63, p < 0.0001; 3 points), antibiotic treatment prior (OR 2.06; p = 0.059; 1 point) and during hospitalization (OR2.38, p = 0.033; 1 point); neurological disability (OR 2.25, p = 0.01; 1 point); and previous hospitalization within 3 months (OR 1.56, p = 0.163; 1 point). At ROC curve analysis, a final score ≥ 4 showed 84% sensitivity, 76% specificity, and 80% accuracy in predicting the risk of candidemia. CONCLUSIONS: The proposed scoring system showed to be a simple and highly performing tool in distinguishing bloodstream infections due to Candida and bacteria in patients admitted to IMW. The proposed rule might help to reduce delay in empirical treatment and improve appropriateness in antifungal prescription in septic patients.
PURPOSE: Increasing prevalence of candidemia in Internal Medicine wards (IMWs) has been reported in recent years, but risk factors for candida bloodstream infection in patients admitted to IMW may differ from those known in other settings. The aim of this study was to identify risk factors and define a prediction rule for the early recognition of the risk of candidemia in IMW inpatients. METHODS: This was a multicentric, retrospective, observational case-control study on non-neutropenicpatients with candidemia admitted to IMWs of four large Italian Hospitals. Each eligible patient with candidemia (case) was matched to a control with bacteremia. Stepwise logistic regression analyses were performed. RESULTS: Overall, 300 patients (150 cases and 150 controls) were enrolled. The following factors were associated with an increased risk of candidemia and weighted to build a score: total parenteral nutrition (OR 2.45, p = 0.008; 1 point); central venous catheter (OR 2.19, p = 0.031; 1 point); peripherally inserted central catheter (OR 5.63, p < 0.0001; 3 points), antibiotic treatment prior (OR 2.06; p = 0.059; 1 point) and during hospitalization (OR2.38, p = 0.033; 1 point); neurological disability (OR 2.25, p = 0.01; 1 point); and previous hospitalization within 3 months (OR 1.56, p = 0.163; 1 point). At ROC curve analysis, a final score ≥ 4 showed 84% sensitivity, 76% specificity, and 80% accuracy in predicting the risk of candidemia. CONCLUSIONS: The proposed scoring system showed to be a simple and highly performing tool in distinguishing bloodstream infections due to Candida and bacteria in patients admitted to IMW. The proposed rule might help to reduce delay in empirical treatment and improve appropriateness in antifungal prescription in septic patients.
Entities:
Keywords:
Candidemia; Internal medicine wards; Prediction rule; Risk factors
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