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Background
Established bacterial diagnostic techniques for orthopaedic-related infections rely on a combination of imperfect tests that often can lead to negative culture results. Spectroscopy is a tool that potentially could aid in rapid detection and differentiation of bacteria in implant-associated infections.Questions/purposes
We asked: (1) Can principal component analysis explain variation in spectral curves for biofilm obtained from Staphylococcus aureus, Staphylococcus epidermidis, and Pseudomonas aeruginosa? (2) What is the accuracy of Fourier transformed-near infrared (FT-NIR)/multivariate data analysis in identifying the specific species associated with biofilm?Methods
Three clinical isolates, S aureus, S epidermidis, and P aeruginosa were cultured to create biofilm on surgical grade stainless steel. At least 52 samples were analyzed per group using a FT-NIR spectrometer. Multivariate and principal component analyses were performed on the spectral data to allow for modeling and identification of the bacterial species.Results
Spectral analysis was able to correctly identify 86% (37/43) of S aureus, 89% (16/18) of S epidermidis, and 70% (28/40) of P aeruginosa samples with minimal error. Overall, models developed using spectral data preprocessed using a combination of standard normal variant and first-derivative transformations performed much better than models developed with the raw spectral data in discriminating between the three classes of bacteria because of its low Type 1 error and large intermodel distinction.Conclusions
The use of spectroscopic methods to identify and classify bacterial biofilms on orthopaedic implant material is possible and improves with advanced modeling that can be obtained rapidly with little error. The sensitivity for identification was 97% for S aureus (95% CI, 88-99%), 100% for S epidermidis (95% CI, 95–100%), and 77% for P aeruginosa (95% CI, 65–86%). The specificity of the S aureus was 86% (95% CI, 3–93%), S epidermidis was 89% (95% CI, 67–97%), and P aeruginosa was 70% (95% CI, 55–82%).Clinical Relevance
This technique of spectral data acquisition and advanced modeling should continue to be explored as a method for bacterial biofilm identification. A spectral databank of bacterial and potentially contaminating tissues should be acquired initially through an in vivo animal model and quickly transition to explanted devices and the clinical arena. 相似文献The COVID-19 pandemic has impacted numerous facets of healthcare workers’ lives. There have also been significant changes in Gastroenterology (GI) fellowship training as a result of the challenges presented by the pandemic.
AimsWe conducted a national survey of Gastroenterology fellows to evaluate fellows’ perceptions, changes in clinical duties, and education during the pandemic.
MethodsA survey was sent to Gastroenterology (GI) fellows in the USA. Information regarding redeployment, fellow restriction in endoscopy, outpatient clinics and inpatient consults, impact on educational activities, and available wellness resources was obtained. Fellows’ level of agreement with adjustments to clinical duties was also assessed.
ResultsOne hundred and seventy-seven Gastroenterology fellows responded, and 29.4% were redeployed to non-GI services during the pandemic. COVID-19 impacted all aspects of GI fellowship training in the USA (endoscopy, outpatient clinics, inpatient consults, educational activities). Fellows’ level of agreement in changes to various aspects of fellowship varied. 72.5% of respondents reported that their programs provided them with increased wellness resources to cope with the additional stress during the pandemic. For respondents with children, 17.6% reported no support with childcare.
ConclusionsOur results show that the COVID-19 pandemic has impacted GI fellowship training in the USA in multiple domains, including gastrointestinal endoscopy, inpatient consults, outpatient clinics, and educational conferences. Our study highlights the importance of considering and incorporating fellows’ viewpoints, as changes are made in response to the ongoing pandemic.
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