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A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital
Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660067/ https://www.ncbi.nlm.nih.gov/pubmed/33105772 http://dx.doi.org/10.3390/ijerph17217724 |
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author | Gentili, Andrea Di Pumpo, Marcello La Milia, Daniele Ignazio Vallone, Doriana Vangi, Gino Corbo, Maria Incoronata Berloco, Filippo Cambieri, Andrea Damiani, Gianfranco Ricciardi, Walter Laurenti, Patrizia |
author_facet | Gentili, Andrea Di Pumpo, Marcello La Milia, Daniele Ignazio Vallone, Doriana Vangi, Gino Corbo, Maria Incoronata Berloco, Filippo Cambieri, Andrea Damiani, Gianfranco Ricciardi, Walter Laurenti, Patrizia |
author_sort | Gentili, Andrea |
collection | PubMed |
description | Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following the European Center for Disease Prevention and Control (ECDC) guidelines. Surgical site infections, urinary tract infections, bloodstream infections, pneumonia, meningitis, and Clostridium difficile infections were considered as risk factors. A total of 328 patients with HAI were detected during the 6-year survey, with an average point prevalence of 5.24% (95% CI: 4.70–5.83%). Respiratory tract infections were the most common, followed by surgical site infections, urinary tract infections, primary bloodstream infections, Clostridium difficile infections, and central nervous system infections. A regression model showed length of stay at the moment of HAI detection, urinary catheter, central venous catheter, and antibiotic therapy to be the most important predictors of HAI prevalence, yielding a significant adjusted coefficient of determination (adjusted R(2)) of 0.2780. This will provide future infection control programs with specific HAI to focus on in order to introduce a proper prophylaxis and to limit exposure whenever possible. |
format | Online Article Text |
id | pubmed-7660067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76600672020-11-13 A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital Gentili, Andrea Di Pumpo, Marcello La Milia, Daniele Ignazio Vallone, Doriana Vangi, Gino Corbo, Maria Incoronata Berloco, Filippo Cambieri, Andrea Damiani, Gianfranco Ricciardi, Walter Laurenti, Patrizia Int J Environ Res Public Health Article Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following the European Center for Disease Prevention and Control (ECDC) guidelines. Surgical site infections, urinary tract infections, bloodstream infections, pneumonia, meningitis, and Clostridium difficile infections were considered as risk factors. A total of 328 patients with HAI were detected during the 6-year survey, with an average point prevalence of 5.24% (95% CI: 4.70–5.83%). Respiratory tract infections were the most common, followed by surgical site infections, urinary tract infections, primary bloodstream infections, Clostridium difficile infections, and central nervous system infections. A regression model showed length of stay at the moment of HAI detection, urinary catheter, central venous catheter, and antibiotic therapy to be the most important predictors of HAI prevalence, yielding a significant adjusted coefficient of determination (adjusted R(2)) of 0.2780. This will provide future infection control programs with specific HAI to focus on in order to introduce a proper prophylaxis and to limit exposure whenever possible. MDPI 2020-10-22 2020-11 /pmc/articles/PMC7660067/ /pubmed/33105772 http://dx.doi.org/10.3390/ijerph17217724 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gentili, Andrea Di Pumpo, Marcello La Milia, Daniele Ignazio Vallone, Doriana Vangi, Gino Corbo, Maria Incoronata Berloco, Filippo Cambieri, Andrea Damiani, Gianfranco Ricciardi, Walter Laurenti, Patrizia A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital |
title | A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital |
title_full | A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital |
title_fullStr | A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital |
title_full_unstemmed | A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital |
title_short | A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital |
title_sort | six-year point prevalence survey of healthcare-associated infections in an italian teaching acute care hospital |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660067/ https://www.ncbi.nlm.nih.gov/pubmed/33105772 http://dx.doi.org/10.3390/ijerph17217724 |
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