1. Cluster analysis identifies patients at risk of catheter-associated urinary tract infections in intensive care units: findings from the SPIN-UTI Network
- Author
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Francesca Moretti, Giovanni Battista Orsi, Antonella Agodi, Marina Milazzo, Riccardo Pagliarulo, Cristina Arrigoni, Raffaele Squeri, Anna Maria Longhitano, Ida Mura, MC La Rosa, Emanuela Bissolo, Salvatore Coniglio, Paola Piotti, Salesia Fenaroli, Elena Righi, Cesare Vittori, Giovanni Gallo, Massimo Girardis, Alberto Rigo, Marcello Pasculli, Franco Marinangeli, Leila Fabiani, Aida Bianco, Ennio Sicoli, Marinella Astuto, Maria Pavia, Ignazio Dei, Paolo Marco Riela, Sergio Pintaudi, Giuseppe Manta, Giacomo Castiglione, Marcello Mario D’Errico, Massimo Minerva, Stefano Tardivo, Patrizia Laurenti, Patrizia Bellocchi, Marco Brusaferro, Romano Tetamo, Abele Donati, Albino Borracino, Pierangelo Sarchi, Luca Arnoldo, R Magnano San Lio, Giorgio Scrofani, Antonino Cannistrà, Maria Carmela Riggio, Antonino Di Benedetto, Salvatore Tribastoni, Maria Concetta Monea, Maria Teresa Montagna, Martina Barchitta, A R Mattaliano, Patrizia Farruggia, Irene Pandiani, Paolo Stefanini, Franco Ingala, Silvio Brusaferro, Andrea Maugeri, C La Mastra, Rosario Massimo Di Bartolo, Alberto Carli, Giuliana Favara, Barchitta, M., Maugeri, A., Favara, G., Riela, P. M., La Mastra, C., La Rosa, M. C., Magnano San Lio, R., Gallo, G., Mura, I., Agodi, A., Salesia, F., Ennio, S., Montagna, M. T., Squeri, R., Di Bartolo, R. M., Salvatore, T., Mattaliano, A. R., Bellocchi, P., Castiglione, G., Astuto, M., Longhitano, A. M., Monea, M. C., Scrofani, G., Di Benedetto, A., Carmela, R. M., Manta, G., Tetamo, R., Dei, I., Pandiani, I., Antonino, C., Piotti, P., Girardis, M., Righi, E., Pierangelo, S., Arnoldo, L., Brusaferro, S., Coniglio, S., Albino, B., Pintaudi, S., Minerva, M., Milazzo, M., Bissolo, E., Rigo, A., Fabiani, L., Marinangeli, F., Stefanini, P., D'Errico, M. M., Donati, A., Tardivo, S., Moretti, F., Carli, A., Pagliarulo, R., Bianco, A., Pavia, M., Pasculli, M., Vittori, C., Orsi, G. B., Arrigoni, C., Laurenti, P., Ingala, F., and Farruggia, P.
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Microbiology (medical) ,medicine.medical_specialty ,Catheters ,Urinary system ,medicine.medical_treatment ,Catheter-associated urinary tract infection ,030501 epidemiology ,Urinary catheterization ,law.invention ,03 medical and health sciences ,Cluster analysis ,Interquartile range ,law ,Internal medicine ,Intensive care ,Sepsis ,Intensive care unit ,Risk factor ,Cluster Analysis ,Humans ,Intensive Care Units ,Italy ,Catheter-Related Infections ,Cross Infection ,Urinary Tract Infections ,medicine ,Cluster analysi ,Settore MED/42 - IGIENE GENERALE E APPLICATA ,0303 health sciences ,030306 microbiology ,business.industry ,Incidence (epidemiology) ,General Medicine ,Catheter ,Infectious Diseases ,0305 other medical science ,business - Abstract
Background: Although preventive strategies have been proposed against catheter-associated urinary tract infections (CAUTIs) in intensive care units (ICUs), more efforts are needed to control the incidence rate. Aim: To distinguish patients according to their characteristics at ICU admission, and to identify clusters of patients at higher risk for CAUTIs. Methods: A two-step cluster analysis was conducted on 9656 patients from the Italian Nosocomial Infections Surveillance in Intensive Care Units project. Findings: Three clusters of patients were identified. Type of admission, patient origin and administration of antibiotics had the greatest weight on the clustering model. Cluster 1 comprised more patients with a medical type of ICU admission who came from the community. Cluster 2 comprised patients who were more likely to come from other wards/hospitals, and to report administration of antibiotics 48 h before or after ICU admission. Cluster 3 was similar to Cluster 2 but was characterized by a lower percentage of patients with administration of antibiotics 48 h before or after ICU admission. Patients in Clusters 1 and 2 had a longer duration of urinary catheterization [median 7 days, interquartile range (IQR) 12 days for Cluster 1; median 7 days, IQR 11 days for Cluster 2] than patients in Cluster 3 (median 6 days, IQR 8 days; P
- Published
- 2021