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Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control
INTRODUCTION: Clostridium difficile infection (CDI) is currently considered the most common cause of health care-associated infections. The aim is to describe the trend of CDI in an Italian hospital and to assess the efficacy of the measures adopted to manage the burden. METHODS: Data were retrieved...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pacini Editore Srl
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451359/ https://www.ncbi.nlm.nih.gov/pubmed/34604594 http://dx.doi.org/10.15167/2421-4248/jpmh2021.62.2.1548 |
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author | COFINI, VINCENZA MUSELLI, MARIO GENTILE, ALESSANDRA LUCARELLI, MARCO LEPORE, RAFFAELLA ANNA MICOLUCCI, GIOVANNA NECOZIONE, STEFANO |
author_facet | COFINI, VINCENZA MUSELLI, MARIO GENTILE, ALESSANDRA LUCARELLI, MARCO LEPORE, RAFFAELLA ANNA MICOLUCCI, GIOVANNA NECOZIONE, STEFANO |
author_sort | COFINI, VINCENZA |
collection | PubMed |
description | INTRODUCTION: Clostridium difficile infection (CDI) is currently considered the most common cause of health care-associated infections. The aim is to describe the trend of CDI in an Italian hospital and to assess the efficacy of the measures adopted to manage the burden. METHODS: Data were retrieved in the San Salvatore Hospital of L’Aquila, from 1 January 2016 to 31 December 2018. Incidence rate of CDIs was calculated as the number of new infected persons per 10,000 patient-days. Changes in the CDI rate during the period considered were analysed using a Joinpoint regression model and related to the preventive strategies adopted. The strategies adopted focused mainly on patient isolation, reinforcement of proper hand hygiene techniques, antimicrobial stewardship and environmental disinfection. RESULTS: CDI/10,000 patient-days was 6.27 in 2016 and increased to 7.71 in 2017, then drastically decreased to 2.76 during 2018. The Joinpoint regression analysis identified three Joinpoints: Sep-2016, Jan-2017, and Sep-2017. There was a reduction from 2016/01 to 2016/09 (slope = -1.44; p = 0.67), then there was an increase from September 2016 to February 2017 (slope = 30.01; p = 0.29), both statistically not significant. Therefore, there was an important decrement from February 2017 to September 2017, statistically significant (slope = -15.84; p = 0.012). CONCLUSIONS: Reports based on routine laboratory data can accurately measure population burden of CDI with limited surveillance resources. The adoption of multi-pronged strategies has proven effective in reducing CDI. It’s important to keep attention high regarding preventive measures of CDI, also a continuous joint effort by all health professionals, caregivers and patients is needed. |
format | Online Article Text |
id | pubmed-8451359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Pacini Editore Srl |
record_format | MEDLINE/PubMed |
spelling | pubmed-84513592021-10-01 Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control COFINI, VINCENZA MUSELLI, MARIO GENTILE, ALESSANDRA LUCARELLI, MARCO LEPORE, RAFFAELLA ANNA MICOLUCCI, GIOVANNA NECOZIONE, STEFANO J Prev Med Hyg Research Paper INTRODUCTION: Clostridium difficile infection (CDI) is currently considered the most common cause of health care-associated infections. The aim is to describe the trend of CDI in an Italian hospital and to assess the efficacy of the measures adopted to manage the burden. METHODS: Data were retrieved in the San Salvatore Hospital of L’Aquila, from 1 January 2016 to 31 December 2018. Incidence rate of CDIs was calculated as the number of new infected persons per 10,000 patient-days. Changes in the CDI rate during the period considered were analysed using a Joinpoint regression model and related to the preventive strategies adopted. The strategies adopted focused mainly on patient isolation, reinforcement of proper hand hygiene techniques, antimicrobial stewardship and environmental disinfection. RESULTS: CDI/10,000 patient-days was 6.27 in 2016 and increased to 7.71 in 2017, then drastically decreased to 2.76 during 2018. The Joinpoint regression analysis identified three Joinpoints: Sep-2016, Jan-2017, and Sep-2017. There was a reduction from 2016/01 to 2016/09 (slope = -1.44; p = 0.67), then there was an increase from September 2016 to February 2017 (slope = 30.01; p = 0.29), both statistically not significant. Therefore, there was an important decrement from February 2017 to September 2017, statistically significant (slope = -15.84; p = 0.012). CONCLUSIONS: Reports based on routine laboratory data can accurately measure population burden of CDI with limited surveillance resources. The adoption of multi-pronged strategies has proven effective in reducing CDI. It’s important to keep attention high regarding preventive measures of CDI, also a continuous joint effort by all health professionals, caregivers and patients is needed. Pacini Editore Srl 2021-07-30 /pmc/articles/PMC8451359/ /pubmed/34604594 http://dx.doi.org/10.15167/2421-4248/jpmh2021.62.2.1548 Text en ©2021 Pacini Editore SRL, Pisa, Italy https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed in accordance with the CC-BY-NC-ND (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International) license. The article can be used by giving appropriate credit and mentioning the license, but only for non-commercial purposes and only in the original version. For further information: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en |
spellingShingle | Research Paper COFINI, VINCENZA MUSELLI, MARIO GENTILE, ALESSANDRA LUCARELLI, MARCO LEPORE, RAFFAELLA ANNA MICOLUCCI, GIOVANNA NECOZIONE, STEFANO Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
title | Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
title_full | Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
title_fullStr | Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
title_full_unstemmed | Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
title_short | Clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
title_sort | clostridium difficile outbreak: epidemiological surveillance, infection prevention and control |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451359/ https://www.ncbi.nlm.nih.gov/pubmed/34604594 http://dx.doi.org/10.15167/2421-4248/jpmh2021.62.2.1548 |
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