Geelong Football Club

About: Geelong Football Club is a based out in . It is known for research contribution in the topics: Population & Wool. The organization has 1503 authors who have published 1826 publications receiving 34162 citations. The organization is also known as: Geelong Cats.

Washing of gloved hands in antiseptic solution prior to central venous line insertion reduces contamination.

Abstract: Glove contamination at the time a central venous catheter is handled is highly undesirable and likely to increase the risk of subsequent line infection This study was designed to determine how frequently gloves become contaminated during central venous line insertion and to demonstrate the value of glove decontamination immediately prior to handling of the central venous catheter During twenty routine internal jugular catheter insertions the sterility of the operator's gloved fingertips (just prior to handling the intravenous catheter) was assessed by touching the fingertips onto blood agar plates The gloved hands were then rinsed in chlorhexidine/alcohol and after drying were placed onto a further plate Contamination was detected in 55% of the prewash plates but in none of the postwash plates Procedures performed by less experienced resident staff had a higher contamination rate despite there being no evident breach of sterile technique It is likely that glove contamination results from the persistance of bacteria within the deeper layers of the skin, despite surface disinfection These bacteria may be released by manipulation of the skin when identifying landmarks This hypothesis was supported by a subsequent observation that gloves were more highly contaminated after firm touching of the skin rather than light touching Glove contamination during central line insertion is frequent Catheter contamination rates could be reduced (without risk or additional cost) by rinsing gloved hands in a solution of chlorhexidine (05%) in alcohol (70%) prior to handling the catheter

Modelling Match Outcome in Australian Football: Improved accuracy with large databases

Abstract: © 2019 C. Young et al., published by Sciendo 2019. Mathematical models that explain match outcome, based on the value of technical performance indicators (PIs), can be used to identify the most important aspects of technical performance in team field-sports. The purpose of this study was to evaluate several methodological opportunities, to enhance the accuracy of this type of modelling. Specifically, we evaluated the potential benefits of 1) modelling match outcome using an increased number of seasons and PIs compared with previous reports, 2) how to identify eras where technical performance characteristics were stable and 3) the application of a novel feature selection method. Ninety-one PIs across sixteen Australian Football (AF) League seasons were analysed. Change-point and Segmented Regression analyses were used to identify eras and they produced similar but non-identical outcomes. A feature selection ensemble method identified the most valuable 45 PIs for modelling. The use of a larger number of seasons for model development lead to improvement in the classification accuracy of the models, compared with previous studies (88.8 vs 78.9%). This study demonstrates the potential benefits of large databases when creating models of match outcome and the pitfalls of determining whether there are eras in a longitudinal database.

Early initiation of antiretroviral therapy for people newly diagnosed with HIV infection in Australia: trends and predictors, 2004-2015.

Abstract: OBJECTIVES: To determine trends in and predictors of early treatment for people newly diagnosed with human immunodeficiency virus (HIV) infection in Australia. DESIGN, SETTING: Retrospective cohort analysis of routinely collected longitudinal data from 44 sexual health clinics participating in the Australian Collaboration for Coordinated Enhanced Sentinel Surveillance (ACCESS) program. PARTICIPANTS: Patients diagnosed with HIV infections, January 2004 - June 2015. MAIN OUTCOME MEASURES: Commencement of antiretroviral therapy within 6 months of HIV diagnosis (early treatment); demographic, clinical, and risk group characteristics of patients associated with early treatment; trends in early treatment, by CD4+ cell count at diagnosis. RESULTS: 917 people were diagnosed with HIV infections, their median age was 34 years (interquartile range [IQR]: 27-43 years), and 841 (92%) were men; the median CD4+ cell count at diagnosis was 510 cells/μL (IQR, 350-674 cells/μL). The proportion of patients who received early treatment increased from 17% (15 patients) in 2004-06 to 20% (34 patients) in 2007-09, 34% (95 patients) in 2010-12, and 53% (197 patients) in 2013-15 (trend, P < 0.001). The probability of early treatment, which increased with time, was higher for patients with lower CD4+ cell counts and higher viral loads at diagnosis. CONCLUSIONS: The proportion of people newly diagnosed with HIV in sexual health clinics in Australia who received treatment within 6 months of diagnosis increased from 17% to 53% during 2004-2015, reflecting changes in the CD4+ cell count threshold in treatment guidelines. Nevertheless, further strategies are needed to maximise the benefits of treatment to prevent viral transmission and morbidity.