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Ritter K, Somnuke P, Hu L, Griemert EV, Schäfer MKE. Current state of neuroprotective therapy using antibiotics in human traumatic brain injury and animal models. BMC Neurosci 2024; 25:10. [PMID: 38424488 PMCID: PMC10905838 DOI: 10.1186/s12868-024-00851-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 02/02/2024] [Indexed: 03/02/2024] Open
Abstract
TBI is a leading cause of death and disability in young people and older adults worldwide. There is no gold standard treatment for TBI besides surgical interventions and symptomatic relief. Post-injury infections, such as lower respiratory tract and surgical site infections or meningitis are frequent complications following TBI. Whether the use of preventive and/or symptomatic antibiotic therapy improves patient mortality and outcome is an ongoing matter of debate. In contrast, results from animal models of TBI suggest translational perspectives and support the hypothesis that antibiotics, independent of their anti-microbial activity, alleviate secondary injury and improve neurological outcomes. These beneficial effects were largely attributed to the inhibition of neuroinflammation and neuronal cell death. In this review, we briefly outline current treatment options, including antibiotic therapy, for patients with TBI. We then summarize the therapeutic effects of the most commonly tested antibiotics in TBI animal models, highlight studies identifying molecular targets of antibiotics, and discuss similarities and differences in their mechanistic modes of action.
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Affiliation(s)
- Katharina Ritter
- Department of Anesthesiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckstraße 1 (Bld. 505), Mainz, 55131, Germany
| | - Pawit Somnuke
- Department of Anesthesiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckstraße 1 (Bld. 505), Mainz, 55131, Germany
- Department of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Lingjiao Hu
- Department of Anesthesiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckstraße 1 (Bld. 505), Mainz, 55131, Germany
- Department of Gastroenterology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
| | - Eva-Verena Griemert
- Department of Anesthesiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckstraße 1 (Bld. 505), Mainz, 55131, Germany
| | - Michael K E Schäfer
- Department of Anesthesiology, University Medical Center, Johannes Gutenberg-University Mainz, Langenbeckstraße 1 (Bld. 505), Mainz, 55131, Germany.
- Focus Program Translational Neurosciences (FTN, Johannes Gutenberg-University Mainz, Mainz, Germany.
- Research Center for Immunotherapy, University Medical Center, Johannes Gutenberg- University Mainz, Mainz, Germany.
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Zhao L, Shen C, Liu M, Zhang J, Cheng L, Li Y, Yuan L, Zhang J, Tian J. Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review. J Med Internet Res 2023; 25:e43299. [PMID: 37531172 PMCID: PMC10433027 DOI: 10.2196/43299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/15/2023] [Accepted: 05/05/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Inconsistencies between a protocol and its umbrella review (UR) may mislead readers about the importance of findings or lead to false-positive results. Furthermore, not documenting and explaining inconsistencies in the UR could reduce its transparency. To our knowledge, no study has examined the methodological consistency of the protocols with their URs and assessed the transparency of the URs when generating evidence. OBJECTIVE This study aimed to investigate the inconsistency of protocols with their URs in the methodology and assess the transparency of the URs. METHODS We searched medical-related electronic databases from their inception to January 1, 2022. We investigated inconsistencies between protocols and their publications and transparencies in the search strategy, inclusion criteria, methods of screening and data extraction, quality assessment, and statistical analysis. RESULTS We included 31 protocols and 35 publications. For the search strategy, 39 inconsistencies between the protocols and their publications were found in 26 of the 35 (74%) URs, and 16 of these inconsistencies were indicated and explained. There were 84 inconsistencies between the protocols and their URs regarding the inclusion criteria in 31 of the 35 (89%) URs, and 29 of the inconsistencies were indicated and explained. Deviations from their protocols were found in 12 of the 32 (38%) URs reporting the methods of screening, 14 of the 30 (47%) URs reporting the methods of data extraction, and 11 of the 32 (34%) URs reporting the methods for quality assessment. Of the 35 URs, 6 (17%) were inconsistent with their protocols in terms of the tools for quality assessment; one-half (3/6, 50%) of them indicated and explained the deviations. As for the statistical analysis, 31 of the 35 (89%) URs generated 61 inconsistencies between the publications and their protocols, and 16 inconsistencies were indicated and explained. CONCLUSIONS There was a high prevalence of inconsistencies between protocols and publications of URs, and more than one-half of the inconsistencies were not indicated and explained in the publications. Therefore, how to promote the transparency of URs will be a major part of future work.
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Affiliation(s)
- Liang Zhao
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Caiyi Shen
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Ming Liu
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Jiaoyan Zhang
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China
| | - Luying Cheng
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China
- Zigong First People's Hospital, Zigong, China
| | - Yuanyuan Li
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China
| | - Lanbin Yuan
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Junhua Zhang
- Evidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jinhui Tian
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
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3
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Moore L, Bérubé M, Belcaid A, Turgeon AF, Taljaard M, Fowler R, Yanchar N, Mercier É, Paquet J, Stelfox HT, Archambault P, Berthelot S, Guertin JR, Haas B, Ivers N, Grimshaw J, Lapierre A, Ouyang Y, Sykes M, Witteman H, Lessard-Bonaventure P, Gabbe B, Lauzier F. Evaluating the effectiveness of a multifaceted intervention to reduce low-value care in adults hospitalized following trauma: a protocol for a pragmatic cluster randomized controlled trial. Implement Sci 2023; 18:27. [PMID: 37420284 DOI: 10.1186/s13012-023-01279-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/28/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND While simple Audit & Feedback (A&F) has shown modest effectiveness in reducing low-value care, there is a knowledge gap on the effectiveness of multifaceted interventions to support de-implementation efforts. Given the need to make rapid decisions in a context of multiple diagnostic and therapeutic options, trauma is a high-risk setting for low-value care. Furthermore, trauma systems are a favorable setting for de-implementation interventions as they have quality improvement teams with medical leadership, routinely collected clinical data, and performance-linked to accreditation. We aim to evaluate the effectiveness of a multifaceted intervention for reducing low-value clinical practices in acute adult trauma care. METHODS We will conduct a pragmatic cluster randomized controlled trial (cRCT) embedded in a Canadian provincial quality assurance program. Level I-III trauma centers (n = 30) will be randomized (1:1) to receive simple A&F (control) or a multifaceted intervention (intervention). The intervention, developed using extensive background work and UK Medical Research Council guidelines, includes an A&F report, educational meetings, and facilitation visits. The primary outcome will be the use of low-value initial diagnostic imaging, assessed at the patient level using routinely collected trauma registry data. Secondary outcomes will be low-value specialist consultation, low-value repeat imaging after a patient transfer, unintended consequences, determinants for successful implementation, and incremental cost-effectiveness ratios. DISCUSSION On completion of the cRCT, if the intervention is effective and cost-effective, the multifaceted intervention will be integrated into trauma systems across Canada. Medium and long-term benefits may include a reduction in adverse events for patients and an increase in resource availability. The proposed intervention targets a problem identified by stakeholders, is based on extensive background work, was developed using a partnership approach, is low-cost, and is linked to accreditation. There will be no attrition, identification, or recruitment bias as the intervention is mandatory in line with trauma center designation requirements, and all outcomes will be assessed with routinely collected data. However, investigators cannot be blinded to group allocation and there is a possibility of contamination bias that will be minimized by conducting intervention refinement only with participants in the intervention arm. TRIAL REGISTRATION This protocol has been registered on ClinicalTrials.gov (February 24, 2023, # NCT05744154 ).
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Affiliation(s)
- Lynne Moore
- Department of Social and Preventive Medicine, Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Mélanie Bérubé
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
- Faculty of Nursing, Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Amina Belcaid
- Institut national d'excellence en santé et services sociaux, Bd Laurier, Québec, Qc, 2535, Canada
| | - Alexis F Turgeon
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Monica Taljaard
- Ottawa Hospital Research Institute, 725 Parkdale Ave, Ottawa, On, Canada
| | - Robert Fowler
- Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, On, Canada
| | - Natalie Yanchar
- Department of Surgery, University of Calgary, 3280 Hospital Dr. NW, Calgary, Ab, Canada
| | - Éric Mercier
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Jérôme Paquet
- Department of Surgery, Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Henry Thomas Stelfox
- Department of Critical Care Medicine, Medicine and Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, 3280 Hospital Dr. NW, Calgary, Al, Canada
| | - Patrick Archambault
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Simon Berthelot
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Jason R Guertin
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Barbara Haas
- Department of Surgery, University of Toronto, 149 College St, Toronto, On, Canada
| | - Noah Ivers
- Department of Family and Community Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College St 4Th Floor, Toronto, On, Canada
| | - Jeremy Grimshaw
- Ottawa Hospital Research Institute, 725 Parkdale Ave, Ottawa, On, Canada
| | - Alexandra Lapierre
- Faculty of Nursing, Université de Montréal, Chem. de La Côte-Sainte-Catherine, Montréal, Qc, 2375, Canada
| | - Yongdong Ouyang
- Ottawa Hospital Research Institute, 725 Parkdale Ave, Ottawa, On, Canada
| | - Michael Sykes
- Department of Nursing, Midwifery, and Health, Northumbria University, Ellison PI, Newcastle, UK
| | - Holly Witteman
- Department of Family and Emergency Medicine, Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
| | - Paule Lessard-Bonaventure
- Department of Surgery, Division of Neurosurgery, Université Laval, 1050 Av. de La Médecine, Québec, Canada
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, Victoria, VIC 3004, Australia
| | - François Lauzier
- Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, 1050 Av. de La Médecine, Québec, Qc, Canada
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4
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Sharma D, Agarwal P, Agrawal V, Bajaj J, Yadav SK. Low Value Surgical Care: Are We Choosing Wisely? Indian J Surg 2023. [DOI: 10.1007/s12262-023-03739-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
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5
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Avau B, O D, Veys K, Georgsen J, Nahirniak S, Shehata N, Stanworth SJ, Van Remoortel H, De Buck E, Compernolle V, Vandekerckhove P. Systematic reviews on platelet transfusions: Is there unnecessary duplication of effort? A scoping review. Vox Sang 2023; 118:16-23. [PMID: 36454598 PMCID: PMC10107266 DOI: 10.1111/vox.13387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 11/03/2022] [Accepted: 11/18/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND AND OBJECTIVES Platelet transfusions are used across multiple patient populations to prevent and correct bleeding. This scoping review aimed to map the currently available systematic reviews (SRs) and evidence-based guidelines in the field of platelet transfusion. MATERIALS AND METHODS A systematic literature search was conducted in seven databases for SRs on effectiveness (including dose and timing, transfusion trigger and ratio to other blood products), production modalities and decision support related to platelet transfusion. The following data were charted: methodological features of the SR, population, concept and context features, outcomes reported, study design and number of studies included. Results were synthesized in interactive evidence maps. RESULTS We identified 110 SRs. The majority focused on clinical effectiveness, including prophylactic or therapeutic transfusions compared to no platelet transfusion (34 SRs), prophylactic compared to therapeutic-only transfusion (8 SRs), dose, timing (11 SRs) and threshold for platelet transfusion (15 SRs) and the ratio of platelet transfusion to other blood products in massive transfusion (14 SRs). Furthermore, we included 34 SRs on decision support, of which 26 evaluated viscoelastic testing. Finally, we identified 22 SRs on platelet production modalities, including derivation (4 SRs), pathogen inactivation (6 SRs), leucodepletion (4 SRs) and ABO/human leucocyte antigen matching (5 SRs). The SRs were mapped according to concept and clinical context. CONCLUSION An interactive evidence map of SRs and evidence-based guidelines in the field of platelet transfusion has been developed and identified multiple reviews. This work serves as a tool for researchers looking for evidence gaps, thereby both supporting research and avoiding unnecessary duplication.
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Affiliation(s)
- Bert Avau
- Centre for Evidence-Based Practice, Belgian Red Cross, Mechelen, Belgium
| | - Dorien O
- Centre for Evidence-Based Practice, Belgian Red Cross, Mechelen, Belgium
| | - Koen Veys
- Centre for Evidence-Based Practice, Belgian Red Cross, Mechelen, Belgium
| | - Jørgen Georgsen
- South Danish Transfusion Service & Tissue Center, Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Susan Nahirniak
- Faculty of Medicine, University of Alberta, Edmonton, Canada.,Transfusion and Transplantation Medicine, Alberta Precision Laboratories, Calgary, Alberta, Canada
| | - Nadine Shehata
- Departments of Medicine, Laboratory Medicine and Pathobiology, Institute of Health Policy Management and Evaluation, University of Toronto, Mount Sinai Hospital, Toronto, Canada
| | - Simon J Stanworth
- Transfusion Medicine, NHS Blood and Transplant, Oxford, UK.,Radcliffe Department of Medicine, University of Oxford, and NIHR Oxford Biomedical Research Centre, Oxford, UK.,Department of Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Hans Van Remoortel
- Centre for Evidence-Based Practice, Belgian Red Cross, Mechelen, Belgium.,Department of Public Health and Primary Care, Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium
| | - Emmy De Buck
- Centre for Evidence-Based Practice, Belgian Red Cross, Mechelen, Belgium.,Department of Public Health and Primary Care, Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium
| | - Veerle Compernolle
- Blood Services, Belgian Red Cross, Mechelen, Belgium.,Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Philippe Vandekerckhove
- Department of Public Health and Primary Care, Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium.,Belgian Red Cross, Mechelen, Belgium.,Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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6
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Moore L, Bérubé M, Tardif PA, Lauzier F, Turgeon A, Cameron P, Champion H, Yanchar N, Lecky F, Kortbeek J, Evans D, Mercier É, Archambault P, Lamontagne F, Gabbe B, Paquet J, Razek T, Belcaid A, Berthelot S, Malo C, Lang E, Stelfox HT. Validation of Quality Indicators Targeting Low-Value Trauma Care. JAMA Surg 2022; 157:2796291. [PMID: 36103195 PMCID: PMC9475433 DOI: 10.1001/jamasurg.2022.3912] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/18/2022] [Indexed: 09/16/2023]
Abstract
Importance Reducing low-value care has the potential to improve patient experiences and outcomes and free up health care resources. Sixteen quality indicators were recently developed targeting reductions in low-value trauma care based on a synthesis of the best available evidence, expert consensus, and patient preferences. Objective To assess the validity of quality indicators on low-value trauma care using trauma registry data. Design, Setting, and Participants Data from an inclusive Canadian provincial trauma system were used in this analysis. Included were all admissions for injury to any of the 57 provincial adult trauma centers between April 1, 2013, and March 31, 2020. Metrics for quality indicators were developed iteratively with clinical experts. Main Outcomes and Measures Validity was assessed using a priori criteria based on 5 parameters: frequency (incidence and case volume), discrimination (interhospital variation), construct validity (correlation with quality indicators on high-value care), predictive validity (correlation with quality indicators on risk-adjusted outcomes), and forecasting (correlation over time). Results The study sample included 136 783 patient admissions (mean [SD] age, 63 [22] years; 68 428 men [50%]). Metrics were developed for 12 of the 16 quality indicators. Six quality indicators showed moderate or high validity on all measurable parameters: initial head, cervical spine, or whole-body computed tomography for low-risk patients; posttransfer repeated computed tomography; neurosurgical consultation for mild complicated traumatic brain injury; and spine service consultation for isolated thoracolumbar process fractures. Red blood cell transfusion in low-risk patients had low frequency but had moderate or high validity on all other parameters. Five quality indicators had low validity on at least 2 parameters: repeated head CT and intensive care unit admission for mild complicated traumatic brain injury, hospital admission for minor blunt abdominal trauma, orthosis for thoracolumbar burst fractures, and surgical exploration in penetrating neck injury without hard signs. Conclusions and Relevance This cohort study shows the feasibility of assessing low-value trauma care using routinely collected data. It provided data on quality indicators properties that can be used to decide which quality indicators are most appropriate in a given system. Results suggest that 6 quality indicators have moderate to high validity. Their implementation now needs to be tested.
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Affiliation(s)
- Lynne Moore
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
| | - Mélanie Bérubé
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
- Faculty of Nursing, Université Laval, Québec City, Québec, Canada
| | - Pier-Alexandre Tardif
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
| | - François Lauzier
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Alexis Turgeon
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Howard Champion
- Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Natalie Yanchar
- Department of Surgery, University of Calgary, Calgary, Alberta, Canada
| | - Fiona Lecky
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
- Trauma Audit and Research Network, Salford, United Kingdom
| | - John Kortbeek
- Department of Surgery, University of Calgary, Calgary, Alberta, Canada
| | - David Evans
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
| | - Éric Mercier
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
| | - Patrick Archambault
- Population Health and Optimal Health Practices Research Unit, Transfert des Connaissances et Évaluation des Technologies et Modes d’Intervention en Santé, Centre de Recherche du CHU de Québec, Hôpital St François d’Assise, Université Laval, Québec City, Québec, Canada
| | - François Lamontagne
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jérôme Paquet
- Department of Surgery, Division of Neurosurgery, Université Laval, Québec City, Québec, Canada
| | - Tarek Razek
- Department of Trauma Surgery, Montreal General Hospital, McGill University Health Center, Montreal, Québec, Canada
| | - Amina Belcaid
- Institut National d’Excellence en Santé et Services Sociaux, Québec City, Québec, Canada
| | - Simon Berthelot
- Population Health and Optimal Health Practices Research Unit, Trauma–Emergency–Critical Care Medicine, Centre de Recherche du CHU de Québec, Hôpital de l’Enfant-Jésus, Université Laval, Québec City, Québec, Canada
| | - Christian Malo
- Département de Médicine Familiale et de Médicine d’urgence, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
| | - Eddy Lang
- University of Calgary, Calgary, Alberta, Canada
| | - Henry Thomas Stelfox
- Department of Critical Care Medicine, O’Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
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7
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Moore L, Bérubé M, Tardif PA, Lauzier F, Turgeon A, Cameron P, Champion H, Yanchar N, Lecky F, Kortbeek J, Evans D, Mercier É, Archambault P, Lamontagne F, Gabbe B, Paquet J, Razek T, Stelfox HT. Quality Indicators Targeting Low-Value Clinical Practices in Trauma Care. JAMA Surg 2022; 157:507-514. [PMID: 35476055 PMCID: PMC9047751 DOI: 10.1001/jamasurg.2022.0812] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance The use of quality indicators has been shown to improve injury care processes and outcomes. However, trauma quality indicators proposed to date exclusively target the underuse of recommended practices. Initiatives such as Choosing Wisely publish lists of practices to be questioned, but few apply to trauma care, and most have not successfully been translated to quality indicators. Objective To develop a set of evidence and patient-informed, consensus-based quality indicators targeting reductions in low-value clinical practices in acute, in-hospital trauma care. Design, Setting, and Participants This 2-round Research and Development/University of California at Los Angeles (RAND/UCLA) consensus study, conducted from April 20 to June 9, 2021, comprised an online questionnaire and a virtual workshop led by 2 independent moderators. Two panels of international experts from Canada, Australia, the US, and the UK, and local stakeholders from Québec, Canada, represented key clinical expertise involved in trauma care and included 3 patient partners. Main Outcomes and Measures Panelists were asked to rate 50 practices on a 7-point Likert scale according to 4 quality indicator criteria: importance, supporting evidence, actionability, and measurability. Results Of 49 eligible experts approached, 46 (94%; 18 experts [39%] aged ≥50 years; 37 men [80%]) completed at least 1 round and 36 (73%) completed both rounds. Eleven quality indicators were selected overall, 2 more were selected by the international panel and a further 3 by the local stakeholder panel. Selected indicators targeted low-value clinical practices in the following aspects of trauma care: (1) initial diagnostic imaging (head, cervical spine, ankle, and pelvis), (2) repeated diagnostic imaging (posttransfer computed tomography [CT] and repeated head CT), (3) consultation (neurosurgical and spine), (4) surgery (penetrating neck injury), (5) blood product administration, (6) medication (antibiotic prophylaxis and late seizure prophylaxis), (7) trauma service admission (blunt abdominal trauma), (8) intensive care unit admission (mild complicated traumatic brain injury), and (9) routine blood work (minor orthopedic surgery). Conclusions and Relevance In this consensus study, a set of consensus-based quality indicators were developed that were informed by the best available evidence and patient priorities, targeting low-value trauma care. Selected indicators represented a trauma-specific list of practices, the use of which should be questioned. Trauma quality programs in high-income countries may use these study results as a basis to select context-specific quality indicators to measure and reduce low-value care.
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Affiliation(s)
- Lynne Moore
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada
| | - Mélanie Bérubé
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada.,Faculty of Nursing, Université Laval, Québec City, Québec, Canada
| | - Pier-Alexandre Tardif
- Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada
| | - François Lauzier
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada.,Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Alexis Turgeon
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada.,Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Howard Champion
- Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Natalie Yanchar
- Department of Surgery, University of Calgary, Calgary, Canada
| | - Fiona Lecky
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.,Trauma Audit and Research Network, Salford, United Kingdom
| | - John Kortbeek
- Department of Surgery, University of Calgary, Calgary, Canada
| | - David Evans
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
| | - Éric Mercier
- Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada
| | - Patrick Archambault
- Population Health and Optimal Health Practices Research Unit, Transfert des Connaissances et Évaluation des Technologies et Modes d'Intervention en Santé, Centre de Recherche du CHU de Québec - Université Laval (Hôpital St François d'Assise), Université Laval, Québec City, Québec, Canada
| | - François Lamontagne
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jérôme Paquet
- Division of Neurosurgery, Department of Surgery, Université Laval, Québec, Québec, Canada
| | - Tarek Razek
- Department of Trauma Surgery, Montreal General Hospital, McGill University Health Center, Montreal, Canada
| | - Henry Thomas Stelfox
- Departments of Critical Care Medicine, Medicine and Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
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Early thrombocytopenia is associated with an increased risk of mortality in patients with traumatic brain injury treated in the intensive care unit: a Finnish Intensive Care Consortium study. Acta Neurochir (Wien) 2022; 164:2731-2740. [PMID: 35838800 PMCID: PMC9519714 DOI: 10.1007/s00701-022-05277-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/06/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Coagulopathy after traumatic brain injury (TBI) is associated with poor prognosis. PURPOSE To assess the prevalence and association with outcomes of early thrombocytopenia in patients with TBI treated in the intensive care unit (ICU). METHODS This is a retrospective multicenter study of adult TBI patients admitted to ICUs during 2003-2019. Thrombocytopenia was defined as a platelet count < 100 × 109/L during the first day. The association between thrombocytopenia and hospital and 12-month mortality was tested using multivariable logistic regression, adjusting for markers of injury severity. RESULTS Of 4419 patients, 530 (12%) had early thrombocytopenia. In patients with thrombocytopenia, hospital and 12-month mortality were 26% and 48%, respectively; in patients with a platelet count > 100 × 109/L, they were 9% and 22%, respectively. After adjusting for injury severity, a higher platelet count was associated with decreased odds of hospital mortality (OR 0.998 per unit, 95% CI 0.996-0.999) and 12-month mortality (OR 0.998 per unit, 95% CI 0.997-0.999) in patients with moderate-to-severe TBI. Compared to patients with a normal platelet count, patients with thrombocytopenia not receiving platelet transfusion had an increased risk of 12-month mortality (OR 2.2, 95% CI 1.6-3.0), whereas patients with thrombocytopenia receiving platelet transfusion did not (OR 1.0, 95% CI 0.6-1.7). CONCLUSION Early thrombocytopenia occurs in approximately one-tenth of patients with TBI treated in the ICU, and it is an independent risk factor for mortality in patients with moderate-to-severe TBI. Further research is necessary to determine whether this is modifiable by platelet transfusion.
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Olah E, Poto L, Rumbus Z, Pakai E, Romanovsky AA, Hegyi P, Garami A. POLAR Study Revisited: Therapeutic Hypothermia in Severe Brain Trauma Should Not Be Abandoned. J Neurotrauma 2021; 38:2772-2776. [PMID: 34002636 DOI: 10.1089/neu.2020.7509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
The benefits of therapeutic hypothermia (TH) in severe traumatic brain injury (sTBI) have been long debated. In 2018, the POLAR study, a high-quality international trial, appeared to end the debate by showing that TH did not improve mortality in sTBI. However, the POLAR-based recommendation to abandon TH was challenged by different investigators. In our recent meta-analysis, we introduced the cooling index (COIN) to assess the extent of cooling and showed that TH is beneficial in sTBI, but only when the COIN is sufficiently high. In the present study, we calculated the COIN for the POLAR study and ran a new meta-analysis, which included the POLAR data and accounted for the cooling extent. The POLAR study targeted a high cooling extent (COIN of 276°C × h; calculated for 72 h), but the achieved cooling was much lower (COIN of 193°C × h)-because of deviations from the protocol. When the POLAR data were included in the COIN-based meta-analysis, TH had an overall effect of reducing death (odds rate of 0.686; p = 0.007). Among the subgroups with different COIN levels, the only significantly decreased odds rate (i.e., beneficial effect of TH) was observed in the subgroup with high COIN (0.470; p = 0.013). We conclude that, because of deviations from the targeted cooling protocol, the overall cooling extent was not sufficiently high in the POLAR study, thus masking the beneficial effects of TH. The current analysis shows that TH is beneficial in sTBI, but only when the COIN is high. Abandoning the use of TH in sTBI may be premature.
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Affiliation(s)
- Emoke Olah
- Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary
| | - Laszlo Poto
- Institute of Bioanalysis, Medical School, University of Pecs, Pecs, Hungary
| | - Zoltan Rumbus
- Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary
| | - Eszter Pakai
- Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary
| | | | - Peter Hegyi
- Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary
| | - Andras Garami
- Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary
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