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486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country
BACKGROUND: Clostridium difficile infection (CDI) is a healthcare-associated infection causing morbidity, mortality, and increase in the economic burden of health. Accurate and accesible methods to predict the epidemiologic trends of CDI are scarce. The systematic collection of data contributes to t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254599/ http://dx.doi.org/10.1093/ofid/ofy210.495 |
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author | Cazali, Iris Sapon, Monica Erdmenger, Diego Canet, Miriam |
author_facet | Cazali, Iris Sapon, Monica Erdmenger, Diego Canet, Miriam |
author_sort | Cazali, Iris |
collection | PubMed |
description | BACKGROUND: Clostridium difficile infection (CDI) is a healthcare-associated infection causing morbidity, mortality, and increase in the economic burden of health. Accurate and accesible methods to predict the epidemiologic trends of CDI are scarce. The systematic collection of data contributes to the development of an endemic corridor which estimates the expected cases in a period of time, facilitating the identification of outbreaks. In Guatemala, no obligatory report is required and no national surveillance programs for CDI exist. Therefore, understanding local epidemiologic trends of CDI is important in order to make future predictions. METHODS: All consecutive primary CDI eopisodes (January 2012–December 2017) obtained from active surveillance in the surgery department were included. CDI was defined as diarrhoea and a positive stool PCR test for C. difficile toxin A and/or B. An endemic corridor was developed to describe trends. The geometric mean and a 95% confidence interval were used to calculate upper and lower limits of weekly incidence. Demographics, clinical characteristics, antimicrobial treatment, and outcome of CDI were analyzed. RESULTS: A total of 208 CDI episodes were included in the study (9 healthcare workers). The incidence of CDI cases increased from 12.85/1,000 discharges (2016) to 18.53/1,000 discharges (2017). CDI was higher among male (54.8%) adults (18–64 years; 72.23%). NAP1 strain was identified in 38% of all cases, with a constant increase from 2012 to 2017. All cases were treated according to guidelines. No recurrences or deaths occurred during the studied time period. The highest incidence of CDI was observed between epidemiologic weeks 7, 8, and 42. Eleven outbreaks were identified in the studied time period, the first and major outbreak occurred in 2013; 2015 had the most outbreaks with 4. Both 2016 and 2017 had threeoutbreaks each. CONCLUSION: Owing to the active and systematic surveillance of CDI, an endemic corridor was created. This will be a useful tool to develop interventions according to the epidemiologic trends of local CDI. Prompt identification of cases and strict adherence to patient isolation and treatment guidelines resulted in null mortality rates despite the alarming increase in NAP1 strains. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6254599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62545992018-11-28 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country Cazali, Iris Sapon, Monica Erdmenger, Diego Canet, Miriam Open Forum Infect Dis Abstracts BACKGROUND: Clostridium difficile infection (CDI) is a healthcare-associated infection causing morbidity, mortality, and increase in the economic burden of health. Accurate and accesible methods to predict the epidemiologic trends of CDI are scarce. The systematic collection of data contributes to the development of an endemic corridor which estimates the expected cases in a period of time, facilitating the identification of outbreaks. In Guatemala, no obligatory report is required and no national surveillance programs for CDI exist. Therefore, understanding local epidemiologic trends of CDI is important in order to make future predictions. METHODS: All consecutive primary CDI eopisodes (January 2012–December 2017) obtained from active surveillance in the surgery department were included. CDI was defined as diarrhoea and a positive stool PCR test for C. difficile toxin A and/or B. An endemic corridor was developed to describe trends. The geometric mean and a 95% confidence interval were used to calculate upper and lower limits of weekly incidence. Demographics, clinical characteristics, antimicrobial treatment, and outcome of CDI were analyzed. RESULTS: A total of 208 CDI episodes were included in the study (9 healthcare workers). The incidence of CDI cases increased from 12.85/1,000 discharges (2016) to 18.53/1,000 discharges (2017). CDI was higher among male (54.8%) adults (18–64 years; 72.23%). NAP1 strain was identified in 38% of all cases, with a constant increase from 2012 to 2017. All cases were treated according to guidelines. No recurrences or deaths occurred during the studied time period. The highest incidence of CDI was observed between epidemiologic weeks 7, 8, and 42. Eleven outbreaks were identified in the studied time period, the first and major outbreak occurred in 2013; 2015 had the most outbreaks with 4. Both 2016 and 2017 had threeoutbreaks each. CONCLUSION: Owing to the active and systematic surveillance of CDI, an endemic corridor was created. This will be a useful tool to develop interventions according to the epidemiologic trends of local CDI. Prompt identification of cases and strict adherence to patient isolation and treatment guidelines resulted in null mortality rates despite the alarming increase in NAP1 strains. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6254599/ http://dx.doi.org/10.1093/ofid/ofy210.495 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Cazali, Iris Sapon, Monica Erdmenger, Diego Canet, Miriam 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country |
title | 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country |
title_full | 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country |
title_fullStr | 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country |
title_full_unstemmed | 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country |
title_short | 486. Endemic Corridors: A Useful Tool for the Approach of Clostridium difficile: A 5-Year Epidemiologic Surveillance Program in a Teaching Hospital of a Middle-Income Country |
title_sort | 486. endemic corridors: a useful tool for the approach of clostridium difficile: a 5-year epidemiologic surveillance program in a teaching hospital of a middle-income country |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254599/ http://dx.doi.org/10.1093/ofid/ofy210.495 |
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