1
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Matheny ME, Carpenter-Song E, Ricket IM, Solomon RJ, Stabler ME, Davis SE, Zubkoff L, Westerman DM, Dorn C, Cox KC, Minter FF, Jneid H, Currier JW, Athar SA, Girotra S, Leung C, Helton TJ, Agarwal A, Vidovich MI, Plomondon ME, Waldo SW, Aschbrenner KA, McKay V, O'Malley AJ, Brown JR. Sustained Improvements After Intervention to Prevent Contrast-Associated Acute Kidney Injury: A Randomized Controlled Trial. J Am Heart Assoc 2025; 14:e038920. [PMID: 40371586 DOI: 10.1161/jaha.124.038920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Accepted: 02/20/2025] [Indexed: 05/16/2025]
Abstract
BACKGROUND In the IMPROVE AKI (A Cluster-Randomized Trial of Team-Based Coaching Interventions to Improve Acute Kidney Injury) trial, a combination of team-based coaching and data-driven surveillance dashboards reduced the odds of AKI following cardiac catheterization by 46%. The objective of this study was to determine if improvements in AKI outcomes would be sustained after completion of the active intervention. METHODS AND RESULTS A 2×2 factorial cluster-randomized trial with an 18-month active intervention phase (October 2019-March 2021) and an 18-month sustainability phase (April 2021-September 2022) conducted among cardiac catheterization laboratories in 20 Veterans Affairs sites. Interventions included team-based coaching in a virtual learning collaborative or technical assistance, with and without access to an automated surveillance reporting dashboard. Data were collected on procedures involving adult patients undergoing diagnostic coronary angiography or percutaneous coronary interventions and not receiving chronic dialysis. The main outcome was AKI within 7 days of cardiac catheterization among all participants and those with preexisting chronic kidney disease. In addition, survey and focused interview data were collected to understand barriers and facilitators to sustaining AKI improvements. In this phase, 440 of 4160 patients experienced AKI, including 216 of 1260 patients with chronic kidney disease. Compared with technical assistance alone, we observed a reduction in AKI among virtual learning collaborative + automated surveillance reporting sites (adjusted odds ratio, 0.60 [95% CI, 0.42-0.86]). Sites had implemented standardized orders (11), oral and intravenous hydration standing orders (13), and contrast limiting protocols (10). CONCLUSIONS Team-based coaching coupled with data-driven surveillance dashboards reduced AKI by 40% during the 18 months after active participation in the trial. Process improvement education, care process standardization, and automated outcome feedback may be effective and durable methods for reducing AKI. REGISTRATION URL: https://clinicaltrials.gov/; Unique Identifier: NCT03556293.
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Affiliation(s)
- Michael E Matheny
- Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN USA
- Geriatric Research Education and Clinical Care Center Tennessee Valley Healthcare System VA Nashville TN USA
| | | | - Iben M Ricket
- Department of Epidemiology Geisel School of Medicine at Dartmouth Hanover NH USA
- The Dartmouth Institute for Health Policy and Clinical Practice Lebanon NH USA
| | | | - Meagan E Stabler
- Department of Community and Family Medicine Dartmouth-Hitchcock Medical Center Lebanon NH USA
| | - Sharon E Davis
- Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN USA
| | - Lisa Zubkoff
- University of Alabama at Birmingham and VA Birmingham Health Care Birmingham AL USA
| | - Dax M Westerman
- Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN USA
| | - Chad Dorn
- Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN USA
| | - Kevin C Cox
- Department of Anthropology Dartmouth College Hanover NH USA
| | - Freneka F Minter
- Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN USA
| | - Hani Jneid
- Division of Cardiovascular Medicine University of Texas Medical Branch Galveston TX USA
| | - Jesse W Currier
- Division of Cardiology, Department of Medicine Veteran Affairs Greater Los Angeles Healthcare System Los Angeles CA USA
- Division of Cardiology, Department of Medicine University of California Los Angeles Healthcare System Los Angeles CA USA
| | - S Ahmed Athar
- Cardiology Section Loma Linda VA Medical Center Loma Linda CA USA
- Department of Medicine, Division of Cardiology Loma Linda University School of Medicine Loma Linda CA USA
| | - Saket Girotra
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Calvin Leung
- Department of Medicine, Section of Cardiology Orlando VA Medical Center Orlando FL USA
| | | | - Ajay Agarwal
- Wright State University Dayton VA Medical Center Dayton OH USA
| | - Mladen I Vidovich
- Section of Cardiology, Jesse Brown VA Medical Center and Department of Medicine University of Illinois at Chicago IL USA
| | | | - Stephen W Waldo
- CART Program VHA Office of Quality and Safety Washington DC USA
- Department of Medicine, Cardiology Section Rocky Mountain Regional VA Medical Center Aurora CO USA
- Department of Medicine, Division of Cardiology University of Colorado School of Medicine Aurora CO USA
| | | | | | - A James O'Malley
- The Dartmouth Institute for Health Policy and Clinical Practice Lebanon NH USA
| | - Jeremiah R Brown
- Department of Epidemiology Geisel School of Medicine at Dartmouth Hanover NH USA
- The Dartmouth Institute for Health Policy and Clinical Practice Lebanon NH USA
- Dartmouth Center for Implementation Science, Biomedical Data Science Geisel School of Medicine at Dartmouth Hanover NH USA
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2
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Bhatnagar A, Buck CO. What is the best nutritional strategy for moderate to late preterm infants? J Perinatol 2025:10.1038/s41372-025-02283-4. [PMID: 40175713 DOI: 10.1038/s41372-025-02283-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2025] [Revised: 02/15/2025] [Accepted: 03/24/2025] [Indexed: 04/04/2025]
Affiliation(s)
- Ambika Bhatnagar
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA.
| | - Catherine O Buck
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
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3
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Kurzbaum E, Páleníček T, Shrchaton A, Azerrad S, Dekel Y. Exploring Psilocybe cubensis Strains: Cultivation Techniques, Psychoactive Compounds, Genetics and Research Gaps. J Fungi (Basel) 2025; 11:99. [PMID: 39997393 PMCID: PMC11856550 DOI: 10.3390/jof11020099] [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: 12/19/2024] [Revised: 01/18/2025] [Accepted: 01/18/2025] [Indexed: 02/26/2025] Open
Abstract
Psilocybe cubensis, a widely recognized psychoactive mushroom species, has played a significant role in both historical and modern therapeutic practices. This review explores the complex interplay between genetic diversity, strain variability and environmental factors that shape the biosynthesis of key psychoactive compounds, including psilocybin and psilocin. With many strains exhibiting substantial variability in their phenotypic characteristics and biochemical content, understanding and documenting this diversity is crucial for optimizing therapeutic applications. The review also highlights advances in cultivation techniques, such as submerged fermentation of the mycelium, and innovative analytical methodologies that have improved the precision of compound quantification and extraction. Although there is limited scientific information on P. cubensis due to nearly four decades of regulatory restrictions on psychedelic research, recent developments in genetic and biochemical studies are beginning to provide valuable insights into its therapeutic potential. Furthermore, this review emphasizes key knowledge gaps and offers insights into future research directions to advance the cultivation, scientific documentation of strain diversity, regulatory considerations and therapeutic use of P. cubensis.
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Affiliation(s)
- Eyal Kurzbaum
- Water Science Department, Tel-Hai College, Upper Galilee 1220800, Israel
- Shamir Research Institute, University of Haifa, P.O. Box 97, Qatzrin 1290000, Israel; (A.S.); (S.A.); (Y.D.)
- Department of Geography and Environmental Studies, University of Haifa, Mount Carmel, Haifa 3498838, Israel
| | - Tomáš Páleníček
- National Institute of Mental Health, 250 67 Klecany, Czech Republic;
- 3rd Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Amiel Shrchaton
- Shamir Research Institute, University of Haifa, P.O. Box 97, Qatzrin 1290000, Israel; (A.S.); (S.A.); (Y.D.)
| | - Sara Azerrad
- Shamir Research Institute, University of Haifa, P.O. Box 97, Qatzrin 1290000, Israel; (A.S.); (S.A.); (Y.D.)
- The Natural Resources and Environmental Research Center-NRERC, University of Haifa, Mount Carmel, Haifa 3498838, Israel
| | - Yaron Dekel
- Shamir Research Institute, University of Haifa, P.O. Box 97, Qatzrin 1290000, Israel; (A.S.); (S.A.); (Y.D.)
- The Cheryl Spencer Department of Nursing, The Cheryl Spencer Institute of Nursing Research, University of Haifa, Haifa 3498838, Israel
- The Cheryl Spencer Institute of Nursing Research, University of Haifa, Haifa 3498838, Israel
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4
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Nogueiras-Álvarez R. Randomized clinical trials and related concepts in clinical research. J Investig Med 2024; 72:834-841. [PMID: 39075669 DOI: 10.1177/10815589241270464] [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] [Indexed: 07/31/2024]
Abstract
Clinical research is a key factor in healthcare progress, as it contributes toward improving our knowledge on the prevention, etiology, and treatment of different conditions. Healthcare professionals and researchers should be familiar with this specific terminology and procedures of clinical research to understand and be able to evaluate clinical trial results and make decisions using up-to-date recommendations. To do so, they must be familiar with different methodological aspects: from establishing the type of design, the study population, and the groups to be studied, to understanding the randomization and blinding processes. Additionally, when it comes to communicating the results and publishing them, it is also necessary to know how to do it adequately to ensure transparency. This work includes a description of different concepts commonly used in clinical research, particularly in the clinical trials field, in an attempt to compile different topics by providing a brief and accessible overview.
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Affiliation(s)
- Rita Nogueiras-Álvarez
- Osakidetza Basque Health Service, Galdakao-Usansolo University Hospital, Basque Country Pharmacovigilance Unit, Galdakao, Bizkaia/Vizcaya, Spain
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5
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Ryan EG, Gao CX, Grantham KL, Thao LTP, Charles-Nelson A, Bowden R, Herschtal A, Lee KJ, Forbes AB, Heritier S, Phillipou A, Wolfe R. Advancing randomized controlled trial methodologies: The place of innovative trial design in eating disorders research. Int J Eat Disord 2024; 57:1337-1349. [PMID: 38469971 DOI: 10.1002/eat.24187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/13/2024]
Abstract
Randomized controlled trials can be used to generate evidence on the efficacy and safety of new treatments in eating disorders research. Many of the trials previously conducted in this area have been deemed to be of low quality, in part due to a number of practical constraints. This article provides an overview of established and more innovative clinical trial designs, accompanied by pertinent examples, to highlight how design choices can enhance flexibility and improve efficiency of both resource allocation and participant involvement. Trial designs include individually randomized, cluster randomized, and designs with randomizations at multiple time points and/or addressing several research questions (master protocol studies). Design features include the use of adaptations and considerations for pragmatic or registry-based trials. The appropriate choice of trial design, together with rigorous trial conduct, reporting and analysis, can establish high-quality evidence to advance knowledge in the field. It is anticipated that this article will provide a broad and contemporary introduction to trial designs and will help researchers make informed trial design choices for improved testing of new interventions in eating disorders. PUBLIC SIGNIFICANCE: There is a paucity of high quality randomized controlled trials that have been conducted in eating disorders, highlighting the need to identify where efficiency gains in trial design may be possible to advance the eating disorder research field. We provide an overview of some key trial designs and features which may offer solutions to practical constraints and increase trial efficiency.
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Affiliation(s)
- Elizabeth G Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Caroline X Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
- Orygen, Melbourne, Victoria, Australia
| | - Kelsey L Grantham
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Le Thi Phuong Thao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Anaïs Charles-Nelson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rhys Bowden
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Alan Herschtal
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Katherine J Lee
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Andrew B Forbes
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Stephane Heritier
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Andrea Phillipou
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
- Orygen, Melbourne, Victoria, Australia
- Department of Psychological Sciences, Swinburne University of Technology, Melbourne, Victoria, Australia
- Department of Mental Health, Austin Health, Melbourne, Victoria, Australia
- Department of Mental Health, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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6
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Drennan IR, McLeod SL, Cheskes S. Randomized controlled trials in resuscitation. Resusc Plus 2024; 18:100582. [PMID: 38444863 PMCID: PMC10912727 DOI: 10.1016/j.resplu.2024.100582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Abstract
Randomized controlled trials (RCTs) are a gold standard in research and crucial to our understanding of resuscitation science. Many trials in resuscitation have had neutral findings, questioning which treatments are effective in cardiac resuscitation. While it is possible than many interventions do not improve patient outcomes, it is also possible that the large proportion of neutral findings are partially due to design limitations. RCTs can be challenging to implement, and require extensive resources, time, and funding. In addition, conducting RCTs in the out-of-hospital setting provides unique challenges that must be considered for a successful trial. This article will outline many important aspects of conducting trials in resuscitation in the out-of-hospital setting including patient and outcome selection, trial design, and statistical analysis.
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Affiliation(s)
- Ian R. Drennan
- Sunnybrook Centre for Prehospital Medicine, Toronto, Ontario, Canada
- Division of Emergency Medicine, Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, Unity Health, Toronto, Ontario, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Emergency Services, Sunnybrook Health Sciences, Toronto, Ontario, Canada
| | - Shelley L. McLeod
- Division of Emergency Medicine, Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Schwartz/Reisman Emergency Medicine Institute, Sinai Health, Toronto, Ontario, Canada
| | - Sheldon Cheskes
- Sunnybrook Centre for Prehospital Medicine, Toronto, Ontario, Canada
- Division of Emergency Medicine, Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, Unity Health, Toronto, Ontario, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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7
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Kim M, Patrick K, Nebeker C, Godino J, Stein S, Klasnja P, Perski O, Viglione C, Coleman A, Hekler E. The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring. J Med Internet Res 2024; 26:e49208. [PMID: 38441954 PMCID: PMC10951831 DOI: 10.2196/49208] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/13/2024] [Accepted: 01/29/2024] [Indexed: 03/07/2024] Open
Abstract
Digital therapeutics (DTx) are a promising way to provide safe, effective, accessible, sustainable, scalable, and equitable approaches to advance individual and population health. However, developing and deploying DTx is inherently complex in that DTx includes multiple interacting components, such as tools to support activities like medication adherence, health behavior goal-setting or self-monitoring, and algorithms that adapt the provision of these according to individual needs that may change over time. While myriad frameworks exist for different phases of DTx development, no single framework exists to guide evidence production for DTx across its full life cycle, from initial DTx development to long-term use. To fill this gap, we propose the DTx real-world evidence (RWE) framework as a pragmatic, iterative, milestone-driven approach for developing DTx. The DTx RWE framework is derived from the 4-phase development model used for behavioral interventions, but it includes key adaptations that are specific to the unique characteristics of DTx. To ensure the highest level of fidelity to the needs of users, the framework also incorporates real-world data (RWD) across the entire life cycle of DTx development and use. The DTx RWE framework is intended for any group interested in developing and deploying DTx in real-world contexts, including those in industry, health care, public health, and academia. Moreover, entities that fund research that supports the development of DTx and agencies that regulate DTx might find the DTx RWE framework useful as they endeavor to improve how DTxcan advance individual and population health.
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Affiliation(s)
- Meelim Kim
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- The Qualcomm Institute, University of California San Diego, La Jolla, CA, United States
- The Design Lab, University of California San Diego, La Jolla, CA, United States
| | - Kevin Patrick
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
- The Qualcomm Institute, University of California San Diego, La Jolla, CA, United States
| | - Camille Nebeker
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
- The Qualcomm Institute, University of California San Diego, La Jolla, CA, United States
- The Design Lab, University of California San Diego, La Jolla, CA, United States
| | - Job Godino
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
- The Qualcomm Institute, University of California San Diego, La Jolla, CA, United States
- Laura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, CA, United States
| | | | - Predrag Klasnja
- School of Information, University of Michigan, Ann Arbor, MI, United States
| | - Olga Perski
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Clare Viglione
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
| | - Aaron Coleman
- Small Steps Labs LLC dba Fitabase Inc, San Diego, CA, United States
| | - Eric Hekler
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States
- The Qualcomm Institute, University of California San Diego, La Jolla, CA, United States
- The Design Lab, University of California San Diego, La Jolla, CA, United States
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8
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Foster DR, Sowinski KM. Part
II
: Statistics in practice: Study design and application of inferential statistics—Interventional research. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022. [DOI: 10.1002/jac5.1613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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9
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Ramos JGR, Ranzani OT, Dias RD, Forte DN. Impact of nonclinical factors on intensive care unit admission decisions: a vignette-based randomized trial (V-TRIAGE). Rev Bras Ter Intensiva 2021; 33:219-230. [PMID: 34231802 PMCID: PMC8275078 DOI: 10.5935/0103-507x.20210029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/16/2020] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE To assess the impact of intensive care unit bed availability, distractors and choice framing on intensive care unit admission decisions. METHODS This study was a randomized factorial trial using patient-based vignettes. The vignettes were deemed archetypical for intensive care unit admission or refusal, as judged by a group of experts. Intensive care unit physicians were randomized to 1) an increased distraction (intervention) or a control group, 2) an intensive care unit bed scarcity or nonscarcity (availability) setting, and 3) a multiple-choice or omission (status quo) vignette scenario. The primary outcome was the proportion of appropriate intensive care unit allocations, defined as concordance with the allocation decision made by the group of experts. RESULTS We analyzed 125 physicians. Overall, distractors had no impact on the outcome; however, there was a differential drop-out rate, with fewer physicians in the intervention arm completing the questionnaire. Intensive care unit bed availability was associated with an inappropriate allocation of vignettes deemed inappropriate for intensive care unit admission (OR = 2.47; 95%CI 1.19 - 5.11) but not of vignettes appropriate for intensive care unit admission. There was a significant interaction with the presence of distractors (p = 0.007), with intensive care unit bed availability being associated with increased intensive care unit admission of vignettes inappropriate for intensive care unit admission in the distractor (intervention) arm (OR = 9.82; 95%CI 2.68 - 25.93) but not in the control group (OR = 1.02; 95%CI 0.38 - 2.72). Multiple choices were associated with increased inappropriate allocation in comparison to the omission group (OR = 5.18; 95%CI 1.37 - 19.61). CONCLUSION Intensive care unit bed availability and cognitive biases were associated with inappropriate intensive care unit allocation decisions. These findings may have implications for intensive care unit admission policies.
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Affiliation(s)
- João Gabriel Rosa Ramos
- Clínica Florence - Salvador (BA), Brasil.,Unidade de Terapia Intensiva, Hospital São Rafael, Rede D'Or São Luiz - Salvador (BA), Brasil.,Instituto D'Or de Pesquisa e Ensino - Salvador, Brasil
| | - Otavio Tavares Ranzani
- Divisão Pulmonar, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brasil
| | - Roger Daglius Dias
- STRATUS Center for Medical Simulation, Brigham and Women's Hospital - Boston, MA, Estados Unidos
| | - Daniel Neves Forte
- Equipe de Cuidados Paliativos, Hospital Sírio-Libanês - São Paulo (SP), Brasil
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10
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Dangond F, Donnelly A, Hohlfeld R, Lubetzki C, Kohlhaas S, Leocani L, Ciccarelli O, Stankoff B, Sormani MP, Chataway J, Bozzoli F, Cucca F, Melton L, Coetzee T, Salvetti M. Facing the urgency of therapies for progressive MS - a Progressive MS Alliance proposal. Nat Rev Neurol 2021; 17:185-192. [PMID: 33483719 DOI: 10.1038/s41582-020-00446-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2020] [Indexed: 12/20/2022]
Abstract
Therapies for infiltrative inflammation in multiple sclerosis (MS) have advanced greatly, but neurodegeneration and compartmentalized inflammation remain virtually untargeted as in other diseases of the nervous system. Consequently, many therapies are available for the relapsing-remitting form of MS, but the progressive forms remain essentially untreated. The objective of the International Progressive MS Alliance is to expedite the development of effective therapies for progressive MS through new initiatives that foster innovative thinking and concrete advancements. Based on these principles, the Alliance is developing a new funding programme that will focus on experimental medicine trials. Here, we discuss the reasons behind the focus on experimental medicine trials, the strengths and weaknesses of these approaches and of the programme, and why we hope to advance therapies while improving the understanding of progression in MS. We are soliciting public and academic feedback, which will help shape the programme and future strategies of the Alliance.
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Affiliation(s)
| | - Alexis Donnelly
- Department of Computer Science, O'Reilly Institute, Trinity College, Dublin, Ireland
| | - Reinhard Hohlfeld
- Institute of Clinical Neuroimmunology, Biomedical Center and Hospital of the Ludwig Maximilians Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (Synergy), Munich, Germany
| | - Catherine Lubetzki
- Neurology Department, Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
| | | | - Letizia Leocani
- Vita-Salute San Raffaele University, Milan, Italy.,Neurorehabilitation Department and Experimental Neurophysiology Unit, INSPE, Scientific Institute Hospital San Raffaele, Milan, Italy
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | - Bruno Stankoff
- Sorbonne University, Brain and Spine Institute, ICM, Pitié-Salpêtrière Hospital, Paris, France
| | - Maria Pia Sormani
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | | | - Francesco Cucca
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Lisa Melton
- MS Research Australia, North Sydney, New South Wales, Australia
| | | | - Marco Salvetti
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Faculty of Medicine and Psychology, Sapienza University, Rome, Italy. .,IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy.
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11
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Chidambaram AG, Josephson M. Clinical research study designs: The essentials. Pediatr Investig 2019; 3:245-252. [PMID: 32851330 PMCID: PMC7331444 DOI: 10.1002/ped4.12166] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Accepted: 12/03/2019] [Indexed: 01/10/2023] Open
Abstract
In clinical research, our aim is to design a study which would be able to derive a valid and meaningful scientific conclusion using appropriate statistical methods. The conclusions derived from a research study can either improve health care or result in inadvertent harm to patients. Hence, this requires a well-designed clinical research study that rests on a strong foundation of a detailed methodology and governed by ethical clinical principles. The purpose of this review is to provide the readers an overview of the basic study designs and its applicability in clinical research.
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