P416: Red cell distribution width is not a predictor of mortality in acute kidney injury

No abstract available

Can soluble urokinase plasminogen receptor predict outcomes after cardiac surgery?

Acknowledgements: We thank Lisa Jolly, from the Institute of Infection, Immunity and Inflammation at the University of Glasgow who performed all lab analysis. We thank Professor John Kinsella for his contributions to this research. Funding: This work was supported by the National Institute of Academic Anaesthesia through the Royal College of Anaesthetists Research, Education and Travel grant via the Ernest Leach Fund to Dr Philip McCall. The funding body had no role in design of the study, collection, analysis and interpretation of data or writing of the manuscript.Peer reviewedPostprintPostprintPostprin

2016 Research & Innovation Day Program

A one day showcase of applied research, social innovation, scholarship projects and activities.https://first.fanshawec.ca/cri_cripublications/1003/thumbnail.jp

Low dose Vasopressin in Septic Shock

The addition of low-dose vasopressin to the treatment of septic shock does not reduce mortality compared to the use of norepinephrine alone, but allows a rapid reduction in norepinephrine requirements. Level of evidence: 1+ (RCT with a very low risk of bias) </jats:p

Influences on children's diet

Title from coverAvailable from British Library Document Supply Centre- DSC:m03/19404 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Drug history as a measure of comorbidity and predictor of long term outcome following ICU admission

Learning Objectives: Comorbidity in patients in ICU has been shown to have an adverse effect on survival. While many scoring systems exist for assessing disease severity and estimating mortality in critically ill patients, they rarely take into consideration the full burden of comorbidity. Previous scoring systems have been developed for quantifying disease burden, but few have used drug history to directly measure this. This study aims to develop a prognostic tool based solely on patients’ repeat prescriptions, as a method of quantifying disease burden, and assess its ability to predict long term outcomes. Methods: The Medication-based Disease Burden Index (2006) was updated and modified. A retrospective search (using CareVue) for patients admitted to Glasgow Royal Infirmary ICU between 10/2007 and 11/2010 was carried out in order to obtain full drug histories from the time of admission. These patients were then individually scored using the modified MDBI. A second search was carried out using Clinical Portal to ascertain long-term survival. Survival analysis using Kaplan-Meier and Cox Proportional Hazards was carried out to illustrate any relationship between total score and survival probability, including correction for APACHE II score Results: 562 patients were included in the analysis. Survival probability dropped with increasing score: over 80% survival at 5 yr in those scoring zero, dropping to less than 40% in those with a high score. Log rank test was highly significant (p&#60;0.0001). Hazard ratios for each of the 3 score groups showed an incremental increase in risk when compared to the zero score group, which was significant in each case (low score: HR 2.12(1.40–3.23) p&#60;0.0001, medium score: HR 2.87(1.85–4.45) p&#60;0.0001, high score: HR 5.16(3.08–8.64) p&#60;0.0001). Results remained significant after adjusting for APACHE II score. Conclusions: This gives promising, significant evidence of a simple and useful predictive tool for quantifying comorbidity and the effect it has on long term survival following ICU admission. Further work is required to replicate its use in other populations, and in larger samples

News and noise: do investors react to stock split announcements differently during periods of high and low market volatility?

Stock Splits, Noise, Information, Abnormal Returns, Volatility, Event Study, VIX, G14,

Gene discovery for the bark beetle-vectored fungal tree pathogen Grosmannia clavigera

Background. Grosmannia clavigera is a bark beetle-vectored fungal pathogen of pines that causes wood discoloration and may kill trees by disrupting nutrient and water transport. Trees respond to attacks from beetles and associated fungi by releasing terpenoid and phenolic defense compounds. It is unclear which genes are important for G. clavigera's ability to overcome antifungal pine terpenoids and phenolics. Results We constructed seven cDNA libraries from eight G. clavigera isolates grown under various culture conditions, and Sanger sequenced the 5' and 3' ends of 25,000 cDNA clones, resulting in 44,288 high quality ESTs. The assembled dataset of unique transcripts (unigenes) consists of 6,265 contigs and 2,459 singletons that mapped to 6,467 locations on the G. clavigera reference genome, representing ~70% of the predicted G. clavigera genes. Although only 54% of the unigenes matched characterized proteins at the NCBI database, this dataset extensively covers major metabolic pathways, cellular processes, and genes necessary for response to environmental stimuli and genetic information processing. Furthermore, we identified genes expressed in spores prior to germination, and genes involved in response to treatment with lodgepole pine phloem extract (LPPE). Conclusions We provide a comprehensively annotated EST dataset for G. clavigera that represents a rich resource for gene characterization in this and other ophiostomatoid fungi. Genes expressed in response to LPPE treatment are indicative of fungal oxidative stress response. We identified two clusters of potentially functionally related genes responsive to LPPE treatment. Furthermore, we report a simple method for identifying contig misassemblies in de novo assembled EST collections caused by gene overlap on the genome.Forestry, Faculty ofWood Science, Department ofNon UBCReviewedFacult