- Poster presentation
- Open Access
P046: Validation of a simple tool to save resources with previous MRSA carriers
https://doi.org/10.1186/2047-2994-2-S1-P46
© Agostinho et al; licensee BioMed Central Ltd. 2013
- Published: 20 June 2013
Keywords
- Staphylococcus Aureus
- Acute Care
- Positive Test
- Carrier State
- Geriatric Patient
Introduction
According to international recommendations, patients who previously carried Methicilin Resistant Staphylococcus aureus (MRSA) should benefit from isolation measures while waiting for MRSA screening results. All these measures are resource consuming. The use of an algorithm, valid and reproducible, for assessing the probability of MRSA carriage on admission may allow better allocation of resources and economies.
Methods
Cohort study, bi-centric, open from 2010 to 2012, determining the carrying MRSA based on previous carrier states known.
Phase I (2009-10): Determination of the tool [Department of Orthopaedics, University Hospitals of Geneva (HUG)]
Phase II (2012): Evaluation of the reproducibility of the tool and extension of its applicability to other departments of HUG: orthopaedics, neurosurgery, ophthalmology and oto-rhino-laryngology as well as in geriatric care [3-Chêne Hospital].
Inclusion criteria: all patients known to have been MRSA carriers.
Exclusion criteria: all patients not meeting the inclusion criteria.
Results
Phase I
- 43/189 patients (23%) known to have been MRSA carriers had a positive screening on admission. Of these:
- 34 patients (79%) had the last positive result from < 1 year,
- 6 patients (14%) had the last positive screning between 1-2 years,
- 3 patients (7%) had the last positive result from > 2 years.
Phase II
The validity of the algorithm was tested from January to December 2012. According to the inclusion criteria, 291 acute care and 239 geriatric patients were included.
Considering as only predictive tool of MRSA carriage state the gap of less than 2 years between the last MRSA positive carrier state and admission, there were:
- 68% concordance in the application of this rule (358/530),
- 31% mismatch (164/530), of which:
- 93% (153/164) were negative when a positive test had been predicted,
- 7% (11/164) were MRSA carriers when a negative test had been predicted,
- In 1% of patients (8/530) the algorithm could not be applied due to lack of samples.
Conclusion
The exclusive use of this algorithm to predict MRSA carrier state is a very simple and reproducible tool, which allows considerable savings with the reduction in the number of days of isolation.
Disclosure of interest
None declared
Authors’ Affiliations
Copyright
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
