We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
To evaluate the impact of discontinuing routine contact precautions (CP) for endemic methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) on hospital adverse events.
Academic medical center with single-occupancy rooms.
PARTICIPANTS
Inpatients.
METHODS
We compared hospital reportable adverse events 1 year before and 1 year after discontinuation of routine CP for endemic MRSA and VRE (preintervention and postintervention periods, respectively). Throughout the preintervention period, daily chlorhexidine gluconate bathing was expanded to nearly all inpatients. Chart reviews were performed to identify which patients and events were associated with CP for MRSA/VRE in the preintervention period as well as the patients that would have met prior criteria for MRSA/VRE CP but were not isolated in the postintervention period. Adverse events during the 2 periods were compared using segmented and mixed-effects Poisson regression models.
RESULTS
There were 24,732 admissions in the preintervention period and 25,536 in the postintervention period. Noninfectious adverse events (ie, postoperative respiratory failure, hemorrhage/hematoma, thrombosis, wound dehiscence, pressure ulcers, and falls or trauma) decreased by 19% (12.3 to 10.0 per 1,000 admissions, P=.022) from the preintervention to the postintervention period. There was no significant difference in the rate of infectious adverse events after CP discontinuation (20.7 to 19.4 per 1,000 admissions, P=.33). Patients with MRSA/VRE showed the largest reduction in noninfectious adverse events after CP discontinuation, with a 72% reduction (21.4 to 6.08 per 1,000 MRSA/VRE admissions; P<.001).
CONCLUSION
After discontinuing routine CP for endemic MRSA/VRE, the rate of noninfectious adverse events declined, especially in patients who no longer required isolation. This suggests that elimination of CP may substantially reduce noninfectious adverse events.
To evaluate the impact of discontinuation of contact precautions (CP) for methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) and expansion of chlorhexidine gluconate (CHG) use on the health system.
We compared hospital-wide laboratory-identified clinical culture rates (as a marker of healthcare-associated infections) 1 year before and after routine CP for endemic MRSA and VRE were discontinued and CHG bathing was expanded to all units. Culture data from patients and cost data on material utilization were collected. Nursing time spent donning personal protective equipment was assessed and quantified using time-driven activity-based costing.
RESULTS
Average positive culture rates before and after discontinuing CP were 0.40 and 0.32 cultures/100 admissions for MRSA (P=.09), and 0.48 and 0.40 cultures/100 admissions for VRE (P=.14). When combining isolation gown and CHG costs, the health system saved $643,776 in 1 year. Before the change, 28.5% intensive care unit and 19% medicine/surgery beds were on CP for MRSA/VRE. On the basis of average room entries and donning time, estimated nursing time spent donning personal protective equipment for MRSA/VRE before the change was 45,277 hours/year (estimated cost, $4.6 million).
CONCLUSION
Discontinuing routine CP for endemic MRSA and VRE did not result in increased rates of MRSA or VRE after 1 year. With cost savings on materials, decreased healthcare worker time, and no concomitant increase in possible infections, elimination of routine CP may add substantial value to inpatient care delivery.
Statistical analysis of the complex data sets produced in DNA microarray experiments presents substantial challenges to the experimenter and statistician alike. Due to the large number of genes and small number of samples, traditional statistical analysis methods alone are not typically sufficient to make appropriate conclusions. This chapter introduces the reader to the basic concepts in the analysis of microarray data and provides a summary of some of the most commonly used techniques. The overall structure of a microarray data analysis can be divided into four distinct components. The four components of a microarray data analysis consist of data preprocessing/quality control, identification of differentially expressed genes, unsupervised clustering/data visualization, and supervised classification/prediction. As the science of microarray analysis has advanced, a wide variety of methods have been developed to address each of these components. Guidance is provided as to the situations in which the various techniques can be applied most productively and cautions given about cases where these techniques will give inappropriate answers.
Introduction
The growth of microarray research has resulted in considerable interest in the statistical and computational communities in the development of methods for addressing these problems. The most common scientific questions asked in a microarray experiment are, “What genes are correlated with specific characteristics of the samples?” and “Are there specific patterns of gene expression, or combinations of multiple genes, which can accurately predict the sample characteristics?”
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.