Literature DB >> 33375105

Three-Year Trends of Healthcare-Associated Infections and Antibiotic Use in Acute Care Hospitals: Findings from 2016-2018 Point Prevalence Surveys in Sicily, Italy.

Martina Barchitta1, Andrea Maugeri1, Maria Clara La Rosa1, Claudia La Mastra1, Giuseppe Murolo2, Antonella Agodi1,3.   

Abstract

Repeated point prevalence surveys (PPSs) of healthcare-associated infections (HAIs) and antibiotic use are crucial to monitor trends over years at regional level, especially in countries with decentralized healthcare systems. Here, we reported the results of three PPSs conducted in Sicilian acute care hospitals (Italy) from 2016 to 2018, according to the European Centre for Disease Prevention and Control protocol. Overall, prevalence of patients with at least one HAI was 5.1% in 2016, 4.7% in 2017, and 5.1% in 2018, without a significant trend over years (p = 0.434). At the patient level, the most important factor associated with HAIs was antibiotic use, since patients receiving at least one antimicrobial were more likely to be infected than those who did not receive antimicrobials (OR = 18.87; 95%CI = 13.08-27.22). The analysis of the prevalence of antibiotic use indicated a significant trend across years of the PPSs: 50.5% of patients received at least one antimicrobial agent in 2016, 55.2% in 2017, and 53.7% in 2018 (p < 0.001). The most common indication for antimicrobial prescription was medical prophylaxis, while third-generation cephalosporins represented the most frequently used class of antimicrobial agents, followed by fluoroquinolones and combinations of penicillins. Our study confirms that HAIs still remain a major public health issue, which could be intensified by antibiotic abuse. This raises the need for infection prevention and control and antibiotic stewardship programs aimed to improve knowledge about appropriate antibiotic prescription and to reduce the use of broad-spectrum antimicrobials.

Entities:  

Keywords:  acute care hospitals; antibiotic use; antimicrobial agents; healthcare-associated infections; point prevalence survey; public health

Year:  2020        PMID: 33375105      PMCID: PMC7822200          DOI: 10.3390/antibiotics10010001

Source DB:  PubMed          Journal:  Antibiotics (Basel)        ISSN: 2079-6382


  39 in total

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Journal:  Ann Ig       Date:  2017 Nov-Dec

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Authors:  A Agodi; F Auxilia; M Barchitta; S Brusaferro; D D'Alessandro; O C Grillo; M T Montagna; C Pasquarella; E Righi; S Tardivo; V Torregrossa; I Mura
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Authors:  A Agodi; F Auxilia; M Barchitta; S Brusaferro; D D'Alessandro; M T Montagna; G B Orsi; C Pasquarella; V Torregrossa; C Suetens; I Mura
Journal:  J Hosp Infect       Date:  2009-11-14       Impact factor: 3.926

8.  Antibiotic Consumption and Resistance during a 3-Year Period in Sicily, Southern Italy.

Authors:  Martina Barchitta; Annalisa Quattrocchi; Andrea Maugeri; Maria Clara La Rosa; Claudia La Mastra; Laura Sessa; Pasquale Cananzi; Giuseppe Murolo; Alessandro Oteri; Guido Basile; Antonella Agodi
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Journal:  Int J Environ Res Public Health       Date:  2020-04-28       Impact factor: 3.390

10.  Antibiotic trends of Klebsiella pneumoniae and Acinetobacter baumannii resistance indicators in an intensive care unit of Southern Italy, 2008-2013.

Authors:  Antonella Agodi; Martina Barchitta; Annalisa Quattrocchi; Andrea Maugeri; Eugenia Aldisio; Anna Elisa Marchese; Anna Rita Mattaliano; Athanassios Tsakris
Journal:  Antimicrob Resist Infect Control       Date:  2015-11-03       Impact factor: 4.887

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2.  The Incidence of Healthcare-Associated Infections, Their Clinical Forms, and Microbiological Agents in Intensive Care Units in Southern Poland in a Multicentre Study from 2016 to 2019.

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3.  Risk Factors for Inappropriate Antimicrobial Therapy Among Patients with Hospital-Acquired Infection at Jimma Medical Center: A Prospective Observational Study.

Authors:  Genene Adane Debela; Behailu Terefe Tesfaye; Mengist Awoke Yizengaw
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4.  How COVID-19 Has Influenced Public Interest in Antimicrobials, Antimicrobial Resistance and Related Preventive Measures: A Google Trends Analysis of Italian Data.

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