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The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital

BACKGROUND: In healthcare facilities, conventional surveillance techniques using rule-based guidelines may result in under- or over-reporting of methicillin-resistant Staphylococcus aureus (MRSA) outbreaks, as these guidelines are generally unvalidated. The objectives of this study were to investiga...

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Autores principales: Faires, Meredith C, Pearl, David L, Ciccotelli, William A, Berke, Olaf, Reid-Smith, Richard J, Weese, J Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097048/
https://www.ncbi.nlm.nih.gov/pubmed/25005247
http://dx.doi.org/10.1186/1471-2334-14-375
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author Faires, Meredith C
Pearl, David L
Ciccotelli, William A
Berke, Olaf
Reid-Smith, Richard J
Weese, J Scott
author_facet Faires, Meredith C
Pearl, David L
Ciccotelli, William A
Berke, Olaf
Reid-Smith, Richard J
Weese, J Scott
author_sort Faires, Meredith C
collection PubMed
description BACKGROUND: In healthcare facilities, conventional surveillance techniques using rule-based guidelines may result in under- or over-reporting of methicillin-resistant Staphylococcus aureus (MRSA) outbreaks, as these guidelines are generally unvalidated. The objectives of this study were to investigate the utility of the temporal scan statistic for detecting MRSA clusters, validate clusters using molecular techniques and hospital records, and determine significant differences in the rate of MRSA cases using regression models. METHODS: Patients admitted to a community hospital between August 2006 and February 2011, and identified with MRSA > 48 hours following hospital admission, were included in this study. Between March 2010 and February 2011, MRSA specimens were obtained for spa typing. MRSA clusters were investigated using a retrospective temporal scan statistic. Tests were conducted on a monthly scale and significant clusters were compared to MRSA outbreaks identified by hospital personnel. Associations between the rate of MRSA cases and the variables year, month, and season were investigated using a negative binomial regression model. RESULTS: During the study period, 735 MRSA cases were identified and 167 MRSA isolates were spa typed. Nine different spa types were identified with spa type 2/t002 (88.6%) the most prevalent. The temporal scan statistic identified significant MRSA clusters at the hospital (n = 2), service (n = 16), and ward (n = 10) levels (P ≤ 0.05). Seven clusters were concordant with nine MRSA outbreaks identified by hospital staff. For the remaining clusters, seven events may have been equivalent to true outbreaks and six clusters demonstrated possible transmission events. The regression analysis indicated years 2009–2011, compared to 2006, and months March and April, compared to January, were associated with an increase in the rate of MRSA cases (P ≤ 0.05). CONCLUSIONS: The application of the temporal scan statistic identified several MRSA clusters that were not detected by hospital personnel. The identification of specific years and months with increased MRSA rates may be attributable to several hospital level factors including the presence of other pathogens. Within hospitals, the incorporation of the temporal scan statistic to standard surveillance techniques is a valuable tool for healthcare workers to evaluate surveillance strategies and aid in the identification of MRSA clusters.
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spelling pubmed-40970482014-07-16 The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital Faires, Meredith C Pearl, David L Ciccotelli, William A Berke, Olaf Reid-Smith, Richard J Weese, J Scott BMC Infect Dis Research Article BACKGROUND: In healthcare facilities, conventional surveillance techniques using rule-based guidelines may result in under- or over-reporting of methicillin-resistant Staphylococcus aureus (MRSA) outbreaks, as these guidelines are generally unvalidated. The objectives of this study were to investigate the utility of the temporal scan statistic for detecting MRSA clusters, validate clusters using molecular techniques and hospital records, and determine significant differences in the rate of MRSA cases using regression models. METHODS: Patients admitted to a community hospital between August 2006 and February 2011, and identified with MRSA > 48 hours following hospital admission, were included in this study. Between March 2010 and February 2011, MRSA specimens were obtained for spa typing. MRSA clusters were investigated using a retrospective temporal scan statistic. Tests were conducted on a monthly scale and significant clusters were compared to MRSA outbreaks identified by hospital personnel. Associations between the rate of MRSA cases and the variables year, month, and season were investigated using a negative binomial regression model. RESULTS: During the study period, 735 MRSA cases were identified and 167 MRSA isolates were spa typed. Nine different spa types were identified with spa type 2/t002 (88.6%) the most prevalent. The temporal scan statistic identified significant MRSA clusters at the hospital (n = 2), service (n = 16), and ward (n = 10) levels (P ≤ 0.05). Seven clusters were concordant with nine MRSA outbreaks identified by hospital staff. For the remaining clusters, seven events may have been equivalent to true outbreaks and six clusters demonstrated possible transmission events. The regression analysis indicated years 2009–2011, compared to 2006, and months March and April, compared to January, were associated with an increase in the rate of MRSA cases (P ≤ 0.05). CONCLUSIONS: The application of the temporal scan statistic identified several MRSA clusters that were not detected by hospital personnel. The identification of specific years and months with increased MRSA rates may be attributable to several hospital level factors including the presence of other pathogens. Within hospitals, the incorporation of the temporal scan statistic to standard surveillance techniques is a valuable tool for healthcare workers to evaluate surveillance strategies and aid in the identification of MRSA clusters. BioMed Central 2014-07-08 /pmc/articles/PMC4097048/ /pubmed/25005247 http://dx.doi.org/10.1186/1471-2334-14-375 Text en Copyright © 2014 Faires et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Faires, Meredith C
Pearl, David L
Ciccotelli, William A
Berke, Olaf
Reid-Smith, Richard J
Weese, J Scott
The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital
title The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital
title_full The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital
title_fullStr The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital
title_full_unstemmed The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital
title_short The use of the temporal scan statistic to detect methicillin-resistant Staphylococcus aureus clusters in a community hospital
title_sort use of the temporal scan statistic to detect methicillin-resistant staphylococcus aureus clusters in a community hospital
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097048/
https://www.ncbi.nlm.nih.gov/pubmed/25005247
http://dx.doi.org/10.1186/1471-2334-14-375
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