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A Survey of Antibiotic-Resistant Microorganisms in Hospital Sink Drains
- Lauren Franco, Christine Ganim, Windy Tanner
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 41 / Issue S1 / October 2020
- Published online by Cambridge University Press:
- 02 November 2020, p. s108
- Print publication:
- October 2020
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Background: Handwashing sinks in healthcare environments are reservoirs for healthcare pathogens and antibiotic-resistant microorganisms (ARO). We investigated the distribution of HCP and ARO within and among handwashing sinks in healthcare settings. To do this, we determined the differences in the number of ARO between samples within a sink (biofilm vs planktonic samples), between sink types (healthcare worker [HCW] vs patient room sinks), and between hospitals in the same city. Methods: Tap water, sink surface, drain cover, tail pipe, p-trap water and p-trap samples were collected from 2 patient room sinks and 2 HCW sinks over 11 months in 2 acute-care hospitals. Suspected pathogens were isolated from selective media (Pseudosel, Chromagar KPC, and MacConkey with 2 mg/L cefotaxime) and identified via MALDI-ToF. Isolates confirmed to be healthcare pathogens were characterized via disk diffusion to determine their antibiotic susceptibility according to CLSI guidelines. Isolates not susceptible to carbapenems (meropenem or ertapenem) were tested further via the modified carbapenem inactivation method to detect carbapenemase production. Results:Pseudomonas aeruginosa and Enterobacteriaceae (Enterobacter spp, Klebsiella spp, and Citrobacter spp) were the most frequently isolated pathogens. Among these isolates (195 P. aeruginosa and 42 Enterobacteriaceae isolates), 28.5% of P. aeruginosa and 85.7% of Enterobacteriaceae were nonsusceptible to 1 or more of the antibiotics tested. Of the isolates that were nonsusceptible to a carbapenem (46 of 237; 19%), none displayed phenotypic carbapenemase production. Other mechanisms of resistance have not been confirmed. There was no significant difference in the percentage of nonsusceptible HCP isolated from biofilm samples (from p-trap and tail pipe) compared to planktonic (p-trap water) samples (P > .05 for P. aeruginosa and Enterobacteriaceae). A greater percentage of resistant or intermediate isolates was recovered from patient room sinks than from HCW sinks (P < .05) for both P. aeruginosa and Enterobacteriaceae isolates (76.4 vs 32.9% for Enterobacteriaceae, 25.6 vs 0.3% for P. aeruginosa). We detected no significant difference in percentage of nonsusceptible isolates between the 2 hospitals sampled (P > .05). Conclusions: This survey of healthcare sinks supports previous work citing that they are reservoirs for HCP and ARO. This work further examines the distribution of HCP and ARO within and among sinks in these environments. Our findings thus far in the 2 hospitals studied reveal a higher percentage of ARO in patient sinks than in HCW sinks. This finding may suggest a higher input of ARO from patient use or greater selective pressure in patient room sinks.
Disclosures: None
Funding: Lauren Franco, Centers for Disease Control and Prevention
The Health Canada Surveillance Tool could be an effective method for assessing alignment with 2019 Canada's Food Guide
- Christine Mulligan, Beatriz Franco-Arellano, Mary R L'Abbe
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- Journal:
- Proceedings of the Nutrition Society / Volume 79 / Issue OCE2 / 2020
- Published online by Cambridge University Press:
- 10 June 2020, E580
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The Health Canada Surveillance Tool (HCST), a Canadian nutrient profile (NP) model, assesses products’ adherence to the 2007 Canada's Food Guide (CFG), using thresholds for total fat, saturated fat, sugars and sodium. In 2019, new dietary guidelines were published (i.e., CFG 2019); however; the HCST has not been updated to reflect changes implemented in this new guide. Given suggestions to adapt previously validated NP models rather than create new models, this research aimed to assess whether the HCST could be a useful tool to assess alignment with updated dietary guidance. Specifically, the objective of this study was to test the agreement between products’ alignment with the CFG 2007 (as per the HCST) and products’ alignment with the recently released CFG 2019 guidelines. This study analyzed data from the University of Toronto Food Label Information Program (FLIP) 2017 database. FLIP contains label and nutrition information for prepackaged food products from top Canadian grocery retailers. Products were categorized into Tiers based on HCST thresholds: Tiers 1 and 2 were considered “in line” with dietary guidance, while Tiers 3, 4 and “Other” (i.e. foods not addressed by CFG) were considered “not in line”. Two raters independently classified foods according to their alignment to CFG 2019. Proportions of products that were considered “in line” with CFG 2007 and 2019 were calculated. Overall agreement between alignment with CFG 2007 and 2019 was determined by cross-classifications of the proportion of products considered “in line” or “not in line” with both CFG versions. Cohen's Kappa (κ) statistic tested the level of agreement (Interpretation of κ: 0.01–0.20, “slight”; 0.21–0.40, “fair”; 0.41–0.60, “moderate”; 0.61–0.80, “substantial”; and 0.81–0.99, “almost perfect”). Analyses were conducted overall and by Health Canada's Table of Reference Amounts for Food category. In total, n = 16,973 products were analyzed, with 98% inter-rater reliability for CFG 2019 alignment. Overall, 30.2% and 28.2% of products were “in line” with CFG 2007 and 2019, respectively, with 80.4% overall agreement and “moderate” kappa agreement (κ [95% CI]: 0.49 [0.46, 0.49]). Overall agreement in individual food categories ranged from 100% (Dessert Toppings, Sauces, Sugars and Sweets; κ: N/A) to 54.8% (Eggs, κ: 0.21 [-0.01, 0.4]). From these results, the HCST appears to be an effective NP model for assessing alignment with CFG 2019. Further analysis could elucidate specific areas for adaptation of the HCST to optimize its functionality in this context.
1212-Molybdo-Cuprates; effect of oxygenation in the structure, properties and electronic states
- Sourav Marik, A. J. Dos santos-Garcia, Christine Labrugere, Emilio Morán, Olivier Toulemonde, M. A. Alario-Franco
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- Journal:
- MRS Online Proceedings Library Archive / Volume 1655 / 2014
- Published online by Cambridge University Press:
- 06 May 2014, mrsf13-1655-oo10-05
- Print publication:
- 2014
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The influence of oxygenation in the magnetism, superconductivity and electronic states for the Mo0.3Cu0.7Sr2RECu2Oy (RE = Y, Er and Tm) compounds are discussed here. The magnetic measurements on the as-prepared (AP) samples suggest the existence of short-range magnetic correlations due to the presence of the paramagnetic MoV cations in the copper chain site. On the other hand, all the oxygenated samples are not magnetic but superconducting. The high pressure oxygenated sample shows the highest superconducting transition temperature of TC = 84 K. The influence of oxygenation in the electronic states for the Mo0.3Cu0.7Sr2YCu2Oy system associated with an oxidation reaction leading from a non-superconducting to a superconducting state has also been investigated by means of X-ray photoelectron spectroscopy (XPS). XPS measurements show the predominance of the MoV oxidation state over the MoVI one in the AP material; annealing under flowing oxygen enhances both the MoVI and CuII amounts. A detailed study of the electronic states for the Mo0.3Cu0.7Sr2YCu2Oy samples has been performed and is also discussed.
Time-course and Severity of Acute Effects of Tobacco Abstinence in Smokers with Subclinical Depressive Symptoms or Alcohol Consumption
- Erica N. Peters, Judith L. Cooney, Thomas Liss, Amanda Liss, Rachel Torello, Christine Franco, Dana A. Cavallo, Stephanie S. O'Malley, Suchitra Krishnan-Sarin
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- Journal:
- Journal of Smoking Cessation / Volume 9 / Issue 1 / June 2014
- Published online by Cambridge University Press:
- 23 May 2013, pp. 6-16
- Print publication:
- June 2014
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Introduction: Smokers with depressive and alcohol use disorders report more severe tobacco abstinence effects (e.g., tobacco withdrawal and craving, mood and sleep disturbance), but less is known about abstinence effects among smokers with subclinical features of these disorders.
Aims: The time-course and severity of acute abstinence effects were evaluated in smokers with and without subclinical depressive symptoms (DEP) and with and without subclinical alcohol consumption (ALC). Methods: Participants (N = 106) received smoking cessation counselling and were contingently compensated for biochemically-verified smoking abstinence. Abstinence effects were assessed pre-quit and daily for eight days post-quit.
Results/Findings: Seventy-four participants (70%) achieved eight-day continuous smoking abstinence. Generalised estimating equations revealed that time and DEP group significantly interacted to predict change in Wisconsin Smoking Withdrawal Scale (WSWS) Anxiety (Wald = 21.18, p < .01) and Questionnaire of Smoking Urges Relief from Negative Affect (Wald = 20.12, p < .01) subscale scores. Time and ALC group significantly interacted to predict change in Profile of Mood States (POMS) Fatigue subscale score (Wald = 19.78, p < .01). Compared to non-DEP smokers, DEP smokers reported higher mean post-quit scores on several measures of abstinence effects, including WSWS Sadness and POMS Total; however, pre-quit differences between DEP groups may have confounded post-quit differences.
Conclusions: Smokers with subclinical depressive symptoms endorsed high levels of abstinence effects, but it was unclear if these were related to the absence of tobacco. Smokers with subclinical alcohol consumption did not endorse high levels of abstinence effects but abstinence-related fatigue took longer to improve.
Contributors
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- By Nalini Vadivelu, Christian J. Whitney, Raymond S. Sinatra, M. Khurram Ghori, Yu-Fan (Robert) Zhang, Raymond S. Sinatra, Joshua Wellington, Yuan-Yi Chia, Francis J. Keefe, Jon McCormack, Ian Power, John Butterworth, P. M. Lavand’homme, M. F. De Kock, Bradley Urie, Oscar A. de Leon-Casasola, Frederick M. Perkins, Larry F. Chu, David Clark, Martin S. Angst, Cynthia M. Welchek, Lisa Mastrangelo, Raymond S. Sinatra, Richard Martinez, Scott S. Reuben, Asokumar Buvanendran, Raymond S. Sinatra, Pamela E Macintyre, Julia Coldrey, Daniel B. Maalouf, Spencer S. Liu, Susan Dabu-Bondoc, Samantha A. Franco, Raymond S. Sinatra, James Benonis, Jennifer Fortney, David Hardman, Gavin Martin, Holly Evans, Karen C. Nielsen, Marcy S. Tucker, Stephen M. Klein, Benjamin Sherman, Ikay Enu, Raymond S. Sinatra, James W. Heitz, Eugene R. Viscusi, Jonathan S. Jahr, Kofi N. Donkor, Raymond S. Sinatra, Manzo Suzuki, Johan Raeder, Vegard Dahl, Stefan Erceg, Keun Sam Chung, Kok-Yuen Ho, Tong J. Gan, Dermot R. Fitzgibbon, Paul Willoughby, Brian E. Harrington, Joseph Marino, Tariq M. Malik, Raymond S. Sinatra, Giorgio Ivani, Valeria Mossetti, Simona Italiano, Thomas M. Halaszynski, Nousheh Saidi, Javier Lopez, Kate Miller, Ferne Braveman, Jaya L. Varadarajan, Steven J. Weisman, Sukanya Mitra, Raymond S. Sinatra, Theodore J. Saclarides, Knox H. Todd, James R. Miner, Chris Pasero, Nancy Eksterowicz, Margo McCaffery, Leslie N. Schechter, Amr E. Abouleish, Govindaraj Ranganathan, Tee Yong Tan, Stephan A. Schug, Marie N. Hanna, Spencer S. Liu, Christopher L. Wu, Craig T. Hartrick, Garen Manvelian, Christine Miaskowski, Brian Durkin, Peter S. A. Glass
- Edited by Raymond S. Sinatra, Oscar A. de Leon-Cassasola, University of Rochester Medical Center, New York, Eugene R. Viscusi, Brian Ginsberg
- Foreword by Henry McQuay
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- Book:
- Acute Pain Management
- Published online:
- 26 October 2009
- Print publication:
- 27 April 2009, pp vii-xii
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