Browsing by Author "Lamontagne, Francois"

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    7 versus 14 days of antibiotic treatment for critically ill patients with bloodstream infection: a pilot randomized clinical trial
    (2018-02-17) Daneman, Nick; Rishu, Asgar H; Pinto, Ruxandra; Aslanian, Pierre; Bagshaw, Sean M; Carignan, Alex; Charbonney, Emmanuel; Coburn, Bryan; Cook, Deborah J; Detsky, Michael E; Dodek, Peter; Hall, Richard; Kumar, Anand; Lamontagne, Francois; Lauzier, Francois; Marshall, John C; Martin, Claudio M; McIntyre, Lauralyn; Muscedere, John; Reynolds, Steven; Sligl, Wendy; Stelfox, Henry T; Wilcox, M. E; Fowler, Robert A
    Abstract Background Shorter-duration antibiotic treatment is sufficient for a range of bacterial infections, but has not been adequately studied for bloodstream infections. Our systematic review, survey, and observational study indicated equipoise for a trial of 7 versus 14 days of antibiotic treatment for bloodstream infections; a pilot randomized clinical trial (RCT) was a necessary next step to assess feasibility of a larger trial. Methods We conducted an open, pilot RCT of antibiotic treatment duration among critically ill patients with bloodstream infection across 11 intensive care units (ICUs). Antibiotic selection, dosing and route were at the discretion of the treating team; patients were randomized 1:1 to intervention arms consisting of two fixed durations of treatment – 7 versus 14 days. We recruited adults with a positive blood culture yielding pathogenic bacteria identified while in ICU. We excluded patients with severe immunosuppression, foci of infection with an established requirement for prolonged treatment, single cultures with potential contaminants, or cultures yielding Staphylococcus aureus or fungi. The primary feasibility outcomes were recruitment rate and adherence to treatment duration protocol. Secondary outcomes included 90-day, ICU and hospital mortality, relapse of bacteremia, lengths of stay, mechanical ventilation and vasopressor duration, antibiotic-free days, Clostridium difficile, antibiotic adverse events, and secondary infection with antimicrobial-resistant organisms. Results We successfully achieved our target sample size (n = 115) and average recruitment rate of 1 (interquartile range (IQR) 0.3–1.5) patient/ICU/month. Adherence to treatment duration was achieved in 89/115 (77%) patients. Adherence differed by underlying source of infection: 26/31 (84%) lung; 18/29 (62%) intra-abdominal; 20/26 (77%) urinary tract; 8/9 (89%) vascular-catheter; 4/4 (100%) skin/soft tissue; 2/4 (50%) other; and 11/12 (92%) unknown sources. Patients experienced a median (IQR) 14 (8–17) antibiotic-free days (of the 28 days after blood culture collection). Antimicrobial-related adverse events included hepatitis in 1 (1%) patient, Clostridium difficile infection in 4 (4%), and secondary infection with highly resistant microorganisms in 10 (9%). Ascertainment was complete for all study outcomes in ICU, in hospital and at 90 days. Conclusion It is feasible to conduct a RCT to determine whether 7 versus 14 days of antibiotic treatment is associated with comparable 90-day survival. Trial registration ClinicalTrials.gov , identifier: NCT02261506 . Registered on 26 September 2014.
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    Transfers from intensive care unit to hospital ward: a multicentre textual analysis of physician progress notes
    (2018-01-28) Brown, Kyla N; Leigh, Jeanna P; Kamran, Hasham; Bagshaw, Sean M; Fowler, Rob A; Dodek, Peter M; Turgeon, Alexis F; Forster, Alan J; Lamontagne, Francois; Soo, Andrea; Stelfox, Henry T
    Abstract Background Little is known about documentation during transitions of patient care between clinical specialties. Therefore, we examined the focus, structure and purpose of physician progress notes for patients transferred from the intensive care unit (ICU) to hospital ward to identify opportunities to improve communication breaks. Methods This was a prospective cohort study in ten Canadian hospitals. We analyzed physician progress notes for consenting adult patients transferred from a medical-surgical ICU to hospital ward. The number, length, legibility and content of notes was counted and compared across care settings using mixed-effects linear regression models accounting for clustering within hospitals. Qualitative content analyses were conducted on a stratified random sample of 32 patients. Results A total of 447 patient medical records that included 7052 progress notes (mean 2.1 notes/patient/day 95% CI 1.9–2.3) were analyzed. Notes written by the ICU team were significantly longer than notes written by the ward team (mean lines of text 21 vs. 15, p < 0.001). There was a discrepancy between documentation of patient issues in the last ICU and first ward notes; mean agreement of patient issues was 42% [95% CI 31–53%]. Qualitative analyses identified eight themes related to focus (central point – e.g., problem list), structure (organization, – e.g., note-taking style), and purpose (intention – e.g., documentation of patient course) of the notes that varied across clinical specialties and physician seniority. Conclusions Important gaps and variations in written documentation during transitions of patient care between ICU and hospital ward physicians are common, and include discrepancies in documentation of patient information.
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    Using a targeted metabolomics approach to explore differences in ARDS associated with COVID-19 compared to ARDS caused by H1N1 influenza and bacterial pneumonia
    (2024-02-27) Lee, Chel H.; Banoei, Mohammad M.; Ansari, Mariam; Cheng, Matthew P.; Lamontagne, Francois; Griesdale, Donald; Lasry, David E.; Demir, Koray; Dhingra, Vinay; Tran, Karen C.; Lee, Terry; Burns, Kevin; Sweet, David; Marshall, John; Slutsky, Arthur; Murthy, Srinivas; Singer, Joel; Patrick, David M.; Lee, Todd C.; Boyd, John H.; Walley, Keith R.; Fowler, Robert; Haljan, Greg; Vinh, Donald C.; Mcgeer, Alison; Maslove, David; Mann, Puneet; Donohoe, Kathryn; Hernandez, Geraldine; Rocheleau, Genevieve; Trahtemberg, Uriel; Kumar, Anand; Lou, Ma; dos Santos, Claudia; Baker, Andrew; Russell, James A.; Winston, Brent W.
    Abstract Rationale Acute respiratory distress syndrome (ARDS) is a life-threatening critical care syndrome commonly associated with infections such as COVID-19, influenza, and bacterial pneumonia. Ongoing research aims to improve our understanding of ARDS, including its molecular mechanisms, individualized treatment options, and potential interventions to reduce inflammation and promote lung repair. Objective To map and compare metabolic phenotypes of different infectious causes of ARDS to better understand the metabolic pathways involved in the underlying pathogenesis. Methods We analyzed metabolic phenotypes of 3 ARDS cohorts caused by COVID-19, H1N1 influenza, and bacterial pneumonia compared to non-ARDS COVID-19-infected patients and ICU-ventilated controls. Targeted metabolomics was performed on plasma samples from a total of 150 patients using quantitative LC–MS/MS and DI-MS/MS analytical platforms. Results Distinct metabolic phenotypes were detected between different infectious causes of ARDS. There were metabolomics differences between ARDSs associated with COVID-19 and H1N1, which include metabolic pathways involving taurine and hypotaurine, pyruvate, TCA cycle metabolites, lysine, and glycerophospholipids. ARDSs associated with bacterial pneumonia and COVID-19 differed in the metabolism of D-glutamine and D-glutamate, arginine, proline, histidine, and pyruvate. The metabolic profile of COVID-19 ARDS (C19/A) patients admitted to the ICU differed from COVID-19 pneumonia (C19/P) patients who were not admitted to the ICU in metabolisms of phenylalanine, tryptophan, lysine, and tyrosine. Metabolomics analysis revealed significant differences between C19/A, H1N1/A, and PNA/A vs ICU-ventilated controls, reflecting potentially different disease mechanisms. Conclusion Different metabolic phenotypes characterize ARDS associated with different viral and bacterial infections.
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    Using a targeted metabolomics approach to explore differences in ARDS associated with COVID-19 compared to ARDS caused by H1N1 influenza and bacterial pneumonia
    (2024-02-27) Lee, Chel H.; Banoei, Mohammad M.; Ansari, Mariam; Cheng, Matthew P.; Lamontagne, Francois; Griesdale, Donald; Lasry, David E.; Demir, Koray; Dhingra, Vinay; Tran, Karen C.; Lee, Terry; Burns, Kevin; Sweet, David; Marshall, John; Slutsky, Arthur; Murthy, Srinivas; Singer, Joel; Patrick, David M.; Lee, Todd C.; Boyd, John H.; Walley, Keith R.; Fowler, Robert; Haljan, Greg; Vinh, Donald C.; Mcgeer, Alison; Maslove, David; Mann, Puneet; Donohoe, Kathryn; Hernandez, Geraldine; Rocheleau, Genevieve; Trahtemberg, Uriel; Kumar, Anand; Lou, Ma; dos Santos, Claudia; Baker, Andrew; Russell, James A.; Winston, Brent W.
    Abstract Rationale Acute respiratory distress syndrome (ARDS) is a life-threatening critical care syndrome commonly associated with infections such as COVID-19, influenza, and bacterial pneumonia. Ongoing research aims to improve our understanding of ARDS, including its molecular mechanisms, individualized treatment options, and potential interventions to reduce inflammation and promote lung repair. Objective To map and compare metabolic phenotypes of different infectious causes of ARDS to better understand the metabolic pathways involved in the underlying pathogenesis. Methods We analyzed metabolic phenotypes of 3 ARDS cohorts caused by COVID-19, H1N1 influenza, and bacterial pneumonia compared to non-ARDS COVID-19-infected patients and ICU-ventilated controls. Targeted metabolomics was performed on plasma samples from a total of 150 patients using quantitative LC–MS/MS and DI-MS/MS analytical platforms. Results Distinct metabolic phenotypes were detected between different infectious causes of ARDS. There were metabolomics differences between ARDSs associated with COVID-19 and H1N1, which include metabolic pathways involving taurine and hypotaurine, pyruvate, TCA cycle metabolites, lysine, and glycerophospholipids. ARDSs associated with bacterial pneumonia and COVID-19 differed in the metabolism of D-glutamine and D-glutamate, arginine, proline, histidine, and pyruvate. The metabolic profile of COVID-19 ARDS (C19/A) patients admitted to the ICU differed from COVID-19 pneumonia (C19/P) patients who were not admitted to the ICU in metabolisms of phenylalanine, tryptophan, lysine, and tyrosine. Metabolomics analysis revealed significant differences between C19/A, H1N1/A, and PNA/A vs ICU-ventilated controls, reflecting potentially different disease mechanisms. Conclusion Different metabolic phenotypes characterize ARDS associated with different viral and bacterial infections.