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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Rapid identification of hospitalized patients at high risk for MRSA carriage
R Scott Evans1, Carrie Jane Wallace, James F Lloyd
1Department of Medical Informatics, LDS Hospital, Intermountain Healthcare, Salt Lake City, Utah, USA. ldsevans@ihc.com
Abstract:
Patients who are asymptomatic carriers of methicillin-resistant Staphylococcus aureus (MRSA) are major reservoirs for transmission of MRSA to other patients. Medical personnel are usually not aware when these high-risk patients are hospitalized. We developed and tested an enterprise-wide electronic surveillance system to identify patients at high risk for MRSA carriage at hospital admission and during hospitalization. During a two-month study, nasal swabs from 153 high-risk patients were tested for MRSA carriage using polymerase chain reaction (PCR) of which 31 (20.3%) were positive compared to 12 of 293 (4.1%, p < 0.001) low-risk patients. The mean interval from admission to availability of PCR test results was 19.2 hours. Computer alerts for patients at high-risk of MRSA carriage were found to be reliable, timely and offer the potential to replace testing all patients. Previous MRSA colonization was the best predictor but other risk factors were needed to increase the sensitivity of the algorithm.
Insights
An electronic surveillance system effectively identifies high-risk patients for methicillin-resistant Staphylococcus aureus (MRSA) carriage upon hospital admission. This system provides timely alerts, potentially replacing universal testing and improving patient safety.
Area of Science:
- Medical Microbiology
- Infectious Disease Epidemiology
- Health Informatics
Background:
- Asymptomatic carriers of methicillin-resistant Staphylococcus aureus (MRSA) are significant reservoirs for hospital-acquired infections.
- Healthcare professionals often lack awareness of high-risk patients carrying MRSA during hospitalization.
- Effective identification strategies are crucial to prevent MRSA transmission in healthcare settings.
Purpose of the Study:
- To develop and evaluate an enterprise-wide electronic surveillance system for identifying patients at high risk of MRSA carriage.
- To assess the system's ability to detect MRSA carriage at hospital admission and during the patient's stay.
- To determine the system's reliability and timeliness in alerting medical personnel.
Main Methods:
- Development and implementation of an enterprise-wide electronic surveillance system.
- Utilized polymerase chain reaction (PCR) for MRSA detection in nasal swabs from high-risk patients.
- Compared MRSA carriage rates between high-risk and low-risk patient groups during a two-month study.
Main Results:
- The electronic surveillance system identified 20.3% of high-risk patients as MRSA carriers, significantly higher than the 4.1% in low-risk patients (p < 0.001).
- The average time from admission to PCR result availability was 19.2 hours.
- Computer alerts generated by the system were found to be reliable and timely.
Conclusions:
- The electronic surveillance system is a reliable and timely tool for identifying high-risk MRSA patients at hospital admission.
- The system has the potential to replace universal MRSA testing, optimizing resource allocation.
- Previous MRSA colonization is a strong predictor, but incorporating additional risk factors can enhance predictive sensitivity.
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