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Choy MC, Li Wai Suen CFD, Con D, Boyd K, Pena R, Burrell K, Rosella O, Proud D, Brouwer R, Gorelik A, Liew D, Connell WR, Wright EK, Taylor KM, Pudipeddi A, Sawers M, Christensen B, Ng W, Begun J, Radford-Smith G, Garg M, Martin N, van Langenberg DR, Ding NS, Beswick L, Leong RW, Sparrow MP, De Cruz P. Intensified versus standard dose infliximab induction therapy for steroid-refractory acute severe ulcerative colitis (PREDICT-UC): an open-label, multicentre, randomised controlled trial. Lancet Gastroenterol Hepatol 2024; 9:981-996. [PMID: 39236736 DOI: 10.1016/s2468-1253(24)00200-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/18/2024] [Accepted: 06/18/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND The optimal dosing strategy for infliximab in steroid-refractory acute severe ulcerative colitis (ASUC) is unknown. We compared intensified and standard dose infliximab rescue strategies and explored maintenance therapies following infliximab induction in ASUC. METHODS In this open-label, multicentre, randomised controlled trial, patients aged 18 years or older from 13 Australian tertiary hospitals with intravenous steroid-refractory ASUC were randomly assigned (1:2) to receive a first dose of 10 mg/kg infliximab or 5 mg/kg infliximab (randomisation 1). Block randomisation was used and stratified by history of thiopurine exposure and study site, with allocation concealment maintained via computer-generated randomisation. Patients in the 10 mg/kg group (intensified induction strategy [IIS]) received a second dose at day 7 or earlier at the time of non-response; all patients in the 5 mg/kg group were re-randomised between day 3 and day 7 (1:1; randomisation 2) to a standard induction strategy (SIS) or accelerated induction strategy (AIS), resulting in three induction groups. Patients in the SIS group received 5 mg/kg infliximab at weeks 0, 2, and 6, with an extra 5 mg/kg dose between day 3 and day 7 if no response. Patients in the AIS group received 5 mg/kg infliximab at weeks 0, 1, and 3, with the week 1 dose increased to 10 mg/kg and given between day 3 and day 7 if no response. The primary outcome was clinical response by day 7 (reduction in Lichtiger score to <10 with a decrease of ≥3 points from baseline, improvement in rectal bleeding, and decreased stool frequency to ≤4 per day). Secondary endpoints assessed outcomes to day 7 and exploratory outcomes compared induction regimens until month 3. From month 3, maintenance therapy was selected based on treatment experience, with use of thiopurine monotherapy, combination infliximab and thiopurine, or infliximab monotherapy, with follow-up as a cohort study up to month 12. Analysis was by intention to treat. This trial is registered with ClinicalTrials.gov, NCT02770040, and is completed. FINDINGS Between July 20, 2016, and Sept 24, 2021, 138 patients were randomly assigned (63 [46%] female and 75 [54%] male); 46 received a first dose of 10 mg/kg infliximab and 92 received 5 mg/kg infliximab. After randomisation 1, we observed no significant difference in the proportion of patients who had a clinical response by day 7 between the 10 mg/kg and 5 mg/kg groups (30 [65%] of 46 vs 56 [61%] of 92, p=0·62; risk ratio adjusted for thiopurine treatment history, 1·06 [95% CI 0·94-1·20], p=0·32). We found no significant differences in secondary endpoints including time to clinical response or change in Lichtiger score from baseline to day 7. Two patients who received 10 mg/kg infliximab underwent colectomy in the first 7 days compared with no patients in the 5 mg/kg group (p=0·21). Three serious adverse events occurred in three patients in both the 10 mg/kg group and 5 mg/kg group. After randomisation 2, the proportions of patients with clinical response at day 14 (34 [74%] of 46 in the IIS group, 35 [73%] of 48 in the AIS group, and 30 [68%] of 44 in the SIS group, p=0·81), clinical remission at month 3 (23 [50%], 25 [52%], 21 [48%], p=0·92), steroid-free remission at month 3 (19 [41%], 20 [42%], 18 [41%], p=1·0), endoscopic remission at month 3 (21 [46%], 22 [46%], 21 [48%], p=0·98), and colectomy at month 3 (three [7%] of 45, nine [19%] of 47, five [12%] of 43, p=0·20) were not significantly different between groups. Between day 8 and month 3, the proportion of patients with at least one infectious adverse event possibly related to infliximab was two (4%) of 46 in the IIS group, eight (17%) of 48 in the AIS group, and eight (18%) of 44 in the SIS group (p=0·082). No deaths occurred in the study. INTERPRETATION Infliximab is a safe and effective rescue therapy in ASUC. In steroid-refractory ASUC, a first dose of 10 mg/kg infliximab was not superior to 5 mg/kg infliximab in achieving clinical response by day 7. Intensified, accelerated, and standard induction regimens did not result in a significant difference in clinical response by day 14 or in remission or colectomy rates by month 3. FUNDING Australian National Health and Medical Research Council, Gastroenterology Society of Australia, Gandel Philanthropy, Australian Postgraduate Award, Janssen-Cilag.
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Affiliation(s)
- Matthew C Choy
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia; Department of Medicine (Austin Health), University of Melbourne, Melbourne, VIC, Australia
| | - Christopher F D Li Wai Suen
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia; Department of Medicine (Austin Health), University of Melbourne, Melbourne, VIC, Australia
| | - Danny Con
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia; Department of Medicine (Austin Health), University of Melbourne, Melbourne, VIC, Australia
| | - Kristy Boyd
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia
| | - Raquel Pena
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia
| | - Kathryn Burrell
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia
| | - Ourania Rosella
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia
| | - David Proud
- Department of Colorectal Surgery, Austin Health, Melbourne, VIC, Australia
| | - Richard Brouwer
- Department of Colorectal Surgery, Austin Health, Melbourne, VIC, Australia
| | - Alexandra Gorelik
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Danny Liew
- Department of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - William R Connell
- Department of Gastroenterology, St Vincent's Hospital, Melbourne, VIC, Australia
| | - Emily K Wright
- Department of Gastroenterology, St Vincent's Hospital, Melbourne, VIC, Australia
| | - Kirstin M Taylor
- Department of Gastroenterology, Alfred Health and Monash University, Melbourne, VIC, Australia
| | - Aviv Pudipeddi
- Department of Gastroenterology Concord Repatriation General Hospital, Sydney, NSW, Australia
| | - Michelle Sawers
- Department of Gastroenterology, Barwon Health, Geelong, VIC, Australia
| | - Britt Christensen
- Department of Gastroenterology, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Watson Ng
- Department of Gastroenterology, Liverpool Hospital, Sydney, NSW, Australia
| | - Jakob Begun
- Department of Gastroenterology, Mater Hospital, Brisbane, QLD, Australia
| | - Graham Radford-Smith
- Department of Gastroenterology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Mayur Garg
- Department of Medicine, University of Melbourne, Melbourne, VIC, Australia; Department of Gastroenterology, Northern Health, Melbourne, VIC, Australia
| | - Neal Martin
- Department of Gastroenterology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | | | - Nik S Ding
- Department of Gastroenterology, St Vincent's Hospital, Melbourne, VIC, Australia
| | - Lauren Beswick
- Department of Gastroenterology, Barwon Health, Geelong, VIC, Australia
| | - Rupert W Leong
- Department of Gastroenterology Concord Repatriation General Hospital, Sydney, NSW, Australia
| | - Miles P Sparrow
- Department of Gastroenterology, Alfred Health and Monash University, Melbourne, VIC, Australia
| | - Peter De Cruz
- Department of Gastroenterology, Austin Health, Melbourne, VIC, Australia; Department of Medicine (Austin Health), University of Melbourne, Melbourne, VIC, Australia.
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Crawford AM, Lorenzi EC, Saville BR, Lewis RJ, Anderson CS. Adaptive Clinical Trials in Stroke. Stroke 2024; 55:2731-2741. [PMID: 39435555 DOI: 10.1161/strokeaha.124.046125] [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: 10/23/2024]
Abstract
Designing a clinical trial to evaluate the efficacy of an intervention is often complicated by uncertainty over aspects of the study population, potential treatment effects, most relevant outcomes, dropouts, and other factors. However, once participants begin to be enrolled and partial trial data become available, this level of uncertainty is reduced. Adaptive clinical trials are designed to take advantage of the accumulating data during the conduct of a trial to make changes according to prespecified decision rules to increase the likelihood of success or statistical efficiency. Common adaptive rules address early stopping for benefit or futility, sample size reestimation, adding or dropping treatment arms or altering randomization ratios, and changing the eligibility criteria to focus on responder patient subgroups. Adaptive clinical trials are gaining popularity for clinical stroke research. We provide an overview of the methods, practical considerations, challenges and limitations, and potential future role of adaptive clinical trials in advancing knowledge and practice in stroke.
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Affiliation(s)
- Amy M Crawford
- Berry Consultants LLC, Austin, TX (A.M.C., E.C.L., R.J.L.)
| | | | - Benjamin R Saville
- Adaptix Trials LLC, Austin, TX (B.R.S.)
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN (B.R.S.)
| | - Roger J Lewis
- Berry Consultants LLC, Austin, TX (A.M.C., E.C.L., R.J.L.)
- Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, CA (R.J.L.)
| | - Craig S Anderson
- George Institute for Global Health, University of New South Wales, Sydney, Australia (C.S.A.)
- Institute for Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (C.S.A.)
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Hayward KS, Dalton EJ, Campbell BCV, Khatri P, Dukelow SP, Johns H, Walter S, Yogendrakumar V, Pandian JD, Sacco S, Bernhardt J, Parsons MW, Saver JL, Churilov L. Adaptive Trials in Stroke: Current Use and Future Directions. Neurology 2024; 103:e209876. [PMID: 39325999 PMCID: PMC11436319 DOI: 10.1212/wnl.0000000000209876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 07/22/2024] [Indexed: 09/28/2024] Open
Abstract
Inclusion of adaptive design features in a clinical trial provides preplanned flexibility to dynamically modify a trial during its conduct while preserving validity and integrity. Adaptive trials are needed to accelerate the conduct of more efficient, informative, and ethical clinical research in the field of neurology. Stroke is a natural candidate for adoption of these innovative approaches to trial design. This Research Methods in Neurology article is informed by a scoping review that identified 45 completed or ongoing adaptive clinical trials in stroke that were appraised: 15 trials had published results with or without a published protocol and 30 ongoing trials (14 trials had a published protocol, and 16 trials were registered only). Interventions spanned acute (n = 28), rehabilitation (n = 8), prevention (n = 8), and rehabilitation and prevention (n = 1). A subsample of these trials was selected to illustrate the utility of adaptive design features and discuss why each adaptive feature was incorporated in the design to best achieve the aim; whether each individual feature was used and whether it resulted in expected efficiencies; and any learnings during preparation, conduct, or reporting. We then discuss the operational, ethical, and regulatory considerations that warrant careful consideration during adaptive trial planning and reflect on the workforce readiness to deliver adaptive trials in practice. We conclude that adaptive trials can be designed, funded, conducted, and published for a wide range of research questions and offer future directions to support adoption of adaptive trial designs in stroke and neurologic research more broadly.
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Affiliation(s)
- Kathryn S Hayward
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Emily J Dalton
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Bruce C V Campbell
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Pooja Khatri
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Sean P Dukelow
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Hannah Johns
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Silke Walter
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Vignan Yogendrakumar
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Jeyaraj D Pandian
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Simona Sacco
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Julie Bernhardt
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Mark W Parsons
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Jeffrey L Saver
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
| | - Leonid Churilov
- From the Melbourne School of Health Sciences (K.S.H., E.J.D.), and Melbourne Medical School (K.S.H., H.J., L.C.), University of Melbourne, Parkville; Stroke Theme (K.S.H., B.C.V.C., J.B., L.C.), The Florey Institute, University of Melbourne, Heidelberg; National Health and Medical Research Council Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation (K.S.H., B.C.V.C., L.C., J.B., H.J.), University of Melbourne, Parkville; Department of Medicine and Neurology (B.C.V.C., V.Y.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia; Department of Neurology and Rehabilitation Medicine (P.K.), University of Cincinnati, OH; Department of Clinical Neuroscience (S.P.D.), and Hotchkiss Brain Institute (S.P.D.), University of Calgary, Alberta, Canada; Department of Neurology (S.W.), Saarland University, Saarbrücken; Department of Neurology (S.W.), Martin-Luther-University, Halle, Germany; Department of Neurology (V.Y.), University of Ottawa, Ontario, Canada; Department of Neurology (J.D.P.), Christian Medical College, Ludhiana, Punjab, India; Department of Biotechnological and Applied Clinical Sciences (S.S.), University of L'Aquila, Italy; Department of Neurology (M.W.P.), Liverpool Hospital, UNSW South Western Sydney Clinical School, Warwick Farm, Australia; Comprehensive Stroke Center and Department of Neurology (J.L.S.), University of California Los Angeles; and Australian Stroke Alliance (L.C.), University of Melbourne, Parkville, Victoria, Australia
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4
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Schüürhuis S, Wassmer G, Kieser M, Pahlke F, Kunz CU, Herrmann C. Two-stage group-sequential designs with delayed responses - what is the point of applying corresponding methods? BMC Med Res Methodol 2024; 24:242. [PMID: 39420280 PMCID: PMC11484224 DOI: 10.1186/s12874-024-02363-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 10/04/2024] [Indexed: 10/19/2024] Open
Abstract
BACKGROUND In group-sequential designs, it is typically assumed that there is no time gap between patient enrollment and outcome measurement in clinical trials. However, in practice, there is usually a lag between the two time points. This can affect the statistical analysis of the data, especially in trials with interim analyses. One approach to address delayed responses has been introduced by Hampson and Jennison (J R Stat Soc Ser B Stat Methodol 75:3-54, 2013), who proposed the use of error-spending stopping boundaries for patient enrollment, followed by critical values to reject the null hypothesis if the stopping boundaries are crossed beforehand. Regarding the choice of a trial design, it is important to consider the efficiency of trial designs, e.g. in terms of the probability of trial success (power) and required resources (sample size and time). METHODS This article aims to shed more light on the performance comparison of group sequential clinical trial designs that account for delayed responses and designs that do not. Suitable performance measures are described and designs are evaluated using the R package rpact. By doing so, we provide insight into global performance measures, discuss the applicability of conditional performance characteristics, and finally whether performance gain justifies the use of complex trial designs that incorporate delayed responses. RESULTS We investigated how the delayed response group sequential test (DR-GSD) design proposed by Hampson and Jennison (J R Stat Soc Ser B Stat Methodol 75:3-54, 2013) can be extended to include nonbinding lower recruitment stopping boundaries, illustrating that their original design framework can accommodate both binding and nonbinding rules when additional constraints are imposed. Our findings indicate that the performance enhancements from methods incorporating delayed responses heavily rely on the sample size at interim and the volume of data in the pipeline, with overall performance gains being limited. CONCLUSION This research extends existing literature on group-sequential designs by offering insights into differences in performance. We conclude that, given the overall marginal differences, discussions regarding appropriate trial designs can pivot towards practical considerations of operational feasibility.
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Affiliation(s)
- Stephen Schüürhuis
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany.
| | | | - Meinhard Kieser
- Institute of Medical Biometry, University Medical Center Ruprechts-Karls University Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany
| | | | - Cornelia Ursula Kunz
- Biostatistics and Data Sciences, Boehringer Ingelheim GmbH & Co. KG, Birkendorfer Straße 65, Biberach an der Riß, 88400, Germany
| | - Carolin Herrmann
- Mathematical Institute, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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5
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Dulai PS, Bonner LB, Sadler C, Raffals LE, Kochhar G, Lindholm P, Buckey JC, Toups GN, Rosas L, Narula N, Jairath V, Honap S, Peyrin-Biroulet L, Sands BE, Hanauer SB, Scholtens DM, Siegel CA. Clinical Trial Design Considerations for Hospitalised Patients With Ulcerative Colitis Flares and Application to Study Hyperbaric Oxygen Therapy in the NIDDK HBOT-UC Consortium. Aliment Pharmacol Ther 2024. [PMID: 39403018 DOI: 10.1111/apt.18326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 07/19/2024] [Accepted: 09/23/2024] [Indexed: 11/01/2024]
Abstract
BACKGROUND Patients with ulcerative colitis (UC) who are hospitalised for acute severe flares represent a high-risk orphan population. AIM To provide guidance for clinical trial design methodology in these patients. METHODS We created a multi-centre consortium to design and conduct a clinical trial for a novel therapeutic intervention (hyperbaric oxygen therapy) in patients with UC hospitalised for moderate-severe flares. During planning, we identified and addressed specific gaps for inclusion/exclusion criteria; disease activity measures; pragmatic trial design considerations within care pathways for hospitalised patients; standardisation of care delivery; primary and secondary outcomes; and sample size and statistical analysis approaches. RESULTS The Truelove-Witt criteria should not be used in isolation. Endoscopy is critical for defining eligible populations. Patient-reported outcomes should include rectal bleeding and stool frequency, with secondary measurement of urgency and nocturnal bowel movements. Trial design needs to be tailored to care pathways, with early intervention focused on replacing and/or optimising responsiveness to steroids and later interventions focused on testing novel rescue agents or strategies. The PRECIS-2 framework offers a means of tailoring to local populations. We provide standardisation of baseline testing, venous thromboprophylaxis, steroid dosing, discharge criteria and post-discharge follow-up to avoid confounding by usual care variability. Statistical considerations are provided given the small clinical trial nature of this population. CONCLUSION We provide an outline for framework decisions made for the hyperbaric oxygen trial in patients hospitalised for UC flares. Future research should focus on the remaining gaps identified.
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Affiliation(s)
- Parambir S Dulai
- Division of Gastroenterology and Hepatology, Northwestern University, Chicago, Illinois, USA
| | - Lauren Balmert Bonner
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University, Chicago, Illinois, USA
- Northwestern University Data Analysis and Coordinating Center (NUDACC), Chicago, Illinois, USA
| | - Charlotte Sadler
- Division of Hyperbaric Medicine, Department of Emergency Medicine, University of California San Diego, La Jolla, California, USA
| | - Laura E Raffals
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Gursimran Kochhar
- Division of Gastroenterology and Hepatology, Alleghany Health, Pittsburgh, Pennsylvania, USA
| | - Peter Lindholm
- Division of Hyperbaric Medicine, Department of Emergency Medicine, University of California San Diego, La Jolla, California, USA
| | - Jay C Buckey
- Hyperbaric Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Gary N Toups
- Hyperbaric Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Libeth Rosas
- Division of Gastroenterology and Hepatology, Northwestern University, Chicago, Illinois, USA
| | - Neeraj Narula
- Division of Gastroenterology and Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Vipul Jairath
- Division of Gastroenterology, Schulich School of Medicine, Western University, London, Ontario, Canada
- Lawson Health Research Institute, Western University, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Sailish Honap
- School of Immunology and Microbial Sciences, King's College London, UK
- INFINY Institute, Nancy University Hospital, Vandœuvre-lès-Nancy, France
| | | | - Bruce E Sands
- Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stephen B Hanauer
- Division of Gastroenterology and Hepatology, Northwestern University, Chicago, Illinois, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University, Chicago, Illinois, USA
- Northwestern University Data Analysis and Coordinating Center (NUDACC), Chicago, Illinois, USA
| | - Corey A Siegel
- Division of Gastroenterology and Hepatology, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire, USA
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6
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Bokelmann B, Rauch G, Meis J, Kieser M, Herrmann C. Sample size recalculation in three-stage clinical trials and its evaluation. BMC Med Res Methodol 2024; 24:214. [PMID: 39322963 PMCID: PMC11423520 DOI: 10.1186/s12874-024-02337-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 09/10/2024] [Indexed: 09/27/2024] Open
Abstract
BACKGROUND In clinical trials, the determination of an adequate sample size is a challenging task, mainly due to the uncertainty about the value of the effect size and nuisance parameters. One method to deal with this uncertainty is a sample size recalculation. Thereby, an interim analysis is performed based on which the sample size for the remaining trial is adapted. With few exceptions, previous literature has only examined the potential of recalculation in two-stage trials. METHODS In our research, we address sample size recalculation in three-stage trials, i.e. trials with two pre-planned interim analyses. We show how recalculation rules from two-stage trials can be modified to be applicable to three-stage trials. We also illustrate how a performance measure, recently suggested for two-stage trial recalculation (the conditional performance score) can be applied to evaluate recalculation rules in three-stage trials, and we describe performance evaluation in those trials from the global point of view. To assess the potential of recalculation in three-stage trials, we compare, in a simulation study, two-stage group sequential designs with three-stage group sequential designs as well as multiple three-stage designs with recalculation. RESULTS While we observe a notable favorable effect in terms of power and expected sample size by using three-stage designs compared to two-stage designs, the benefits of recalculation rules appear less clear and are dependent on the performance measures applied. CONCLUSIONS Sample size recalculation is also applicable in three-stage designs. However, the extent to which recalculation brings benefits depends on which trial characteristics are most important to the applicants.
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Affiliation(s)
- Björn Bokelmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany.
| | - Geraldine Rauch
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany
- Technische Universität Berlin, Straße des 17. Juni 135, Berlin, 10623, Germany
| | - Jan Meis
- Institute of Medical Biometry, University Medical Center Ruprechts-Karls University Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany
| | - Meinhard Kieser
- Institute of Medical Biometry, University Medical Center Ruprechts-Karls University Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany
| | - Carolin Herrmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany
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7
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Liu CC, Wu P, Yu RX. Delta Inflation, Optimism Bias, and Uncertainty in Clinical Trials. Ther Innov Regul Sci 2024:10.1007/s43441-024-00697-4. [PMID: 39242461 DOI: 10.1007/s43441-024-00697-4] [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: 03/06/2024] [Accepted: 08/23/2024] [Indexed: 09/09/2024]
Abstract
The phenomenon of delta inflation, in which design treatment effects tend to exceed observed treatment effects, has been documented in several therapeutic areas. Delta inflation has often been attributed to investigators' optimism bias, or an unwarranted belief in the efficacy of new treatments. In contrast, we argue that delta inflation may be a natural consequence of clinical equipoise, that is, genuine uncertainty about the relative benefits of treatments before a trial is initiated. We review alternative methodologies that can offer more direct evidence about investigators' beliefs, including Bayesian priors and forecasting analysis. The available evidence for optimism bias appears to be mixed, and can be assessed only where uncertainty is expressed explicitly at the trial design stage.
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Affiliation(s)
- Charles C Liu
- Department of Biostatistics, Gilead Sciences, 333 Lakeside Drive, Foster City, CA, 94404, USA.
| | - Peiwen Wu
- Department of Biostatistics, Gilead Sciences, 333 Lakeside Drive, Foster City, CA, 94404, USA
| | - Ron Xiaolong Yu
- Department of Biostatistics, Gilead Sciences, 333 Lakeside Drive, Foster City, CA, 94404, USA
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8
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Potvin D, D'Angelo P, Bennett S, Jankicevic J, Bissonnette R. Adaptive designs in dermatology clinical trials: Current status and future perspectives. J Eur Acad Dermatol Venereol 2024; 38:1694-1703. [PMID: 38619384 DOI: 10.1111/jdv.20030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 03/11/2024] [Indexed: 04/16/2024]
Abstract
Current drug development strategies present many challenges that can impede drug approval by regulatory agencies. Alternative study models, such as adaptive trial designs, have recently sparked interest, as they provide a flexible and more efficient approach in conducting clinical trials. Adaptive trial designs offer several potential benefits over traditional randomized controlled trials, which include decrease in costs, reduced clinical development time and limiting exposure of patients to potentially ineffective treatments allowing completion of studies with fewer patients. This article explores the current use of adaptive trial designs in non-oncologic skin diseases and highlights the most common types of adaptive designs used in the field. We also review the operational challenges and statistical considerations associated with such designs and propose clinical development strategies to successfully implement adaptive designs. The article also proposes instances where adaptive trial designs are particularly beneficial, and other situations where they may not be very useful.
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Affiliation(s)
- D Potvin
- Innovaderm Research Inc, Montreal, Quebec, Canada
| | - P D'Angelo
- Innovaderm Research Inc, Montreal, Quebec, Canada
| | - S Bennett
- Innovaderm Research Inc, Montreal, Quebec, Canada
| | - J Jankicevic
- Innovaderm Research Inc, Montreal, Quebec, Canada
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9
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Cherlin S, Wason JMS. Cross-validated risk scores adaptive enrichment (CADEN) design. Contemp Clin Trials 2024; 144:107620. [PMID: 38977178 DOI: 10.1016/j.cct.2024.107620] [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: 03/04/2024] [Revised: 07/01/2024] [Accepted: 07/03/2024] [Indexed: 07/10/2024]
Abstract
We propose a Cross-validated ADaptive ENrichment design (CADEN) in which a trial population is enriched with a subpopulation of patients who are predicted to benefit from the treatment more than an average patient (the sensitive group). This subpopulation is found using a risk score constructed from the baseline (potentially high-dimensional) information about patients. The design incorporates an early stopping rule for futility. Simulation studies are used to assess the properties of CADEN against the original (non-enrichment) cross-validated risk scores (CVRS) design which constructs a risk score at the end of the trial. We show that when there exists a sensitive group of patients, CADEN achieves a higher power and a reduction in the expected sample size compared to the CVRS design. We illustrate the application of the design in two real clinical trials. We conclude that the new design offers improved statistical efficiency over the existing non-enrichment method, as well as increased benefit to patients. The method has been implemented in an R package caden.
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Affiliation(s)
- Svetlana Cherlin
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Newcastle upon Tyne, UK.
| | - James M S Wason
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Newcastle upon Tyne, UK
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10
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Sharma P, Phadnis MA. Sample Size Reestimation in Stochastic Curtailment Tests With Time-to-Events Outcome in the Case of Nonproportional Hazards Utilizing Two Weibull Distributions With Unknown Shape Parameters. Pharm Stat 2024. [PMID: 39155271 DOI: 10.1002/pst.2429] [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: 09/25/2023] [Revised: 04/29/2024] [Accepted: 07/18/2024] [Indexed: 08/20/2024]
Abstract
Stochastic curtailment tests for Phase II two-arm trials with time-to-event end points are traditionally performed using the log-rank test. Recent advances in designing time-to-event trials have utilized the Weibull distribution with a known shape parameter estimated from historical studies. As sample size calculations depend on the value of this shape parameter, these methods either cannot be used or likely underperform/overperform when the natural variation around the point estimate is ignored. We demonstrate that when the magnitude of the Weibull shape parameters changes, unblinded interim information on the shape of the survival curves can be useful to enrich the final analysis for reestimation of the sample size. For such scenarios, we propose two Bayesian solutions to estimate the natural variations of the Weibull shape parameter. We implement these approaches under the framework of the newly proposed relative time method that allows nonproportional hazards and nonproportional time. We also demonstrate the sample size reestimation for the relative time method using three different approaches (internal pilot study approach, conditional power, and predictive power approach) at the interim stage of the trial. We demonstrate our methods using a hypothetical example and provide insights regarding the practical constraints for the proposed methods.
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Affiliation(s)
- Palash Sharma
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Milind A Phadnis
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA
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11
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Boumendil L, Chevret S, Lévy V, Biard L. Two-stage randomized clinical trials with a right-censored endpoint: Comparison of frequentist and Bayesian adaptive designs. Stat Med 2024; 43:3364-3382. [PMID: 38844988 DOI: 10.1002/sim.10130] [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: 09/21/2022] [Revised: 04/17/2024] [Accepted: 05/20/2024] [Indexed: 07/17/2024]
Abstract
Adaptive randomized clinical trials are of major interest when dealing with a time-to-event outcome in a prolonged observation window. No consensus exists either to define stopping boundaries or to combinep $$ p $$ values or test statistics in the terminal analysis in the case of a frequentist design and sample size adaptation. In a one-sided setting, we compared three frequentist approaches using stopping boundaries relying onα $$ \alpha $$ -spending functions and a Bayesian monitoring setting with boundaries based on the posterior distribution of the log-hazard ratio. All designs comprised a single interim analysis with an efficacy stopping rule and the possibility of sample size adaptation at this interim step. Three frequentist approaches were defined based on the terminal analysis: combination of stagewise statistics (Wassmer) or ofp $$ p $$ values (Desseaux), or on patientwise splitting (Jörgens), and we compared the results with those of the Bayesian monitoring approach (Freedman). These different approaches were evaluated in a simulation study and then illustrated on a real dataset from a randomized clinical trial conducted in elderly patients with chronic lymphocytic leukemia. All approaches controlled for the type I error rate, except for the Bayesian monitoring approach, and yielded satisfactory power. It appears that the frequentist approaches are the best in underpowered trials. The power of all the approaches was affected by the violation of the proportional hazards (PH) assumption. For adaptive designs with a survival endpoint and a one-sided alternative hypothesis, the Wassmer and Jörgens approaches after sample size adaptation should be preferred, unless violation of PH is suspected.
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Affiliation(s)
- Luana Boumendil
- INSERM U1153, Team ECSTRRA, Hôpital Saint Louis, Paris, France
- Université Paris Cité, Paris, France
- AP-HP Hôpital Saint Louis, Service de Biostatistique et Information Médicale, Paris, France
| | - Sylvie Chevret
- INSERM U1153, Team ECSTRRA, Hôpital Saint Louis, Paris, France
- Université Paris Cité, Paris, France
- AP-HP Hôpital Saint Louis, Service de Biostatistique et Information Médicale, Paris, France
| | - Vincent Lévy
- INSERM U1153, Team ECSTRRA, Hôpital Saint Louis, Paris, France
- Université Paris 13, Villetaneuse, France
- AP-HP Hôpital Avicenne, Unité de Recherche Clinique Bobigny, Bobigny, France
| | - Lucie Biard
- INSERM U1153, Team ECSTRRA, Hôpital Saint Louis, Paris, France
- Université Paris Cité, Paris, France
- AP-HP Hôpital Saint Louis, Service de Biostatistique et Information Médicale, Paris, France
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12
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Li Y, Zhang Y, Mi G, Lin J. A seamless phase II/III design with dose optimization for oncology drug development. Stat Med 2024; 43:3383-3402. [PMID: 38845095 DOI: 10.1002/sim.10129] [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: 11/17/2023] [Revised: 03/19/2024] [Accepted: 05/20/2024] [Indexed: 07/17/2024]
Abstract
The US FDA's Project Optimus initiative that emphasizes dose optimization prior to marketing approval represents a pivotal shift in oncology drug development. It has a ripple effect for rethinking what changes may be made to conventional pivotal trial designs to incorporate a dose optimization component. Aligned with this initiative, we propose a novel seamless phase II/III design with dose optimization (SDDO framework). The proposed design starts with dose optimization in a randomized setting, leading to an interim analysis focused on optimal dose selection, trial continuation decisions, and sample size re-estimation (SSR). Based on the decision at interim analysis, patient enrollment continues for both the selected dose arm and control arm, and the significance of treatment effects will be determined at final analysis. The SDDO framework offers increased flexibility and cost-efficiency through sample size adjustment, while stringently controlling the Type I error. This proposed design also facilitates both accelerated approval (AA) and regular approval in a "one-trial" approach. Extensive simulation studies confirm that our design reliably identifies the optimal dosage and makes preferable decisions with a reduced sample size while retaining statistical power.
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Affiliation(s)
- Yuhan Li
- Department of Statistics, University of Illinois Urbana-Champaign, Champaign, Illinois, USA
| | - Yiding Zhang
- Department of Biostatistics and Programming, Sanofi US, Cambridge, Massachusetts, USA
| | - Gu Mi
- Department of Biostatistics and Programming, Sanofi US, Cambridge, Massachusetts, USA
| | - Ji Lin
- Department of Biostatistics and Programming, Sanofi US, Cambridge, Massachusetts, USA
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13
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Gao P, Zhang W. A systematic approach to adaptive sequential design for clinical trials: using simulations to select a design with desired operating characteristics. J Biopharm Stat 2024; 34:737-752. [PMID: 38812413 DOI: 10.1080/10543406.2024.2358796] [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: 12/11/2022] [Accepted: 05/12/2024] [Indexed: 05/31/2024]
Abstract
The failure rates of phase 3 trials are high. Incorrect sample size due to uncertainty of effect size could be a critical contributing factor. Adaptive sequential design (ASD), which may include one or more sample size re-estimations (SSR), has been a popular approach for dealing with such uncertainties. The operating characteristics (OCs) of ASD, including the unconditional power and mean sample size, can be substantially affected by many factors, including the planned sample size, the interim analysis schedule and choice of critical boundaries and rules for interim analysis. We propose a systematic, comprehensive strategy which uses iterative simulations to investigate the operating characteristics of adaptive designs and help achieve adequate unconditional power and cost-effective mean sample size if the effect size is in a pre-identified range.
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Affiliation(s)
- Ping Gao
- Innovatio Statistics, Inc, Bridgewater, NJ, USA
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14
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Chen YB, Mohty M, Zeiser R, Teshima T, Jamy O, Maertens J, Purtill D, Chen J, Cao H, Rossiter G, Jansson J, Fløisand Y. Vedolizumab for the prevention of intestinal acute GVHD after allogeneic hematopoietic stem cell transplantation: a randomized phase 3 trial. Nat Med 2024; 30:2277-2287. [PMID: 38844797 PMCID: PMC11333288 DOI: 10.1038/s41591-024-03016-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 04/23/2024] [Indexed: 08/21/2024]
Abstract
Acute graft-versus-host disease (aGVHD) of the lower gastrointestinal (GI) tract is a major cause of morbidity and mortality in patients receiving allogeneic hematopoietic stem cell transplantation (allo-HSCT). Vedolizumab is a gut-selective anti-α4β7 integrin monoclonal antibody that reduces gut inflammation by inhibiting migration of GI-homing T lymphocytes. The efficacy and safety of vedolizumab added to standard GVHD prophylaxis (calcineurin inhibitor plus methotrexate/mycophenolate mofetil) was evaluated for prevention of lower-GI aGVHD after unrelated donor allo-HSCT in a randomized, double-blind, placebo-controlled phase 3 trial. Enrollment closed early during the COVID-19 pandemic with 343 patients randomized (n = 174 vedolizumab, n = 169 placebo), and 333 received ≥1 intravenous dose of 300 mg vedolizumab (n = 168) or placebo (n = 165) and underwent allo-HSCT. The primary end point was met; Kaplan-Meier (95% confidence interval) estimated rates of lower-GI aGVHD-free survival by day +180 after allo-HSCT were 85.5% (79.2-90.1) with vedolizumab versus 70.9% (63.2-77.2) with placebo (hazard ratio, 0.45; 95% confidence interval, 0.27-0.73; P < 0.001). For the 5 key secondary efficacy end points analyzed by day +180 after allo-HSCT, rates of lower-GI aGVHD-free and relapse-free survival and grade C-D aGVHD-free survival were significantly higher with vedolizumab versus placebo. No significant treatment differences were found for the other key secondary end points of non-relapse mortality, overall survival and grade B-D aGVHD-free survival, respectively. Incidence of treatment-related serious adverse events analyzed in patients receiving ≥1 dose of study treatment (n = 334) was 6.5% (n = 11 of 169) vedolizumab versus 8.5% (n = 14 of 165) placebo. When added to standard calcineurin inhibitor-based GVHD prevention, lower-GI aGVHD-free survival was significantly higher with vedolizumab versus placebo. ClinicalTrials.gov identifier: NCT03657160 .
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Affiliation(s)
- Yi-Bin Chen
- Hematopoietic Cell Transplant and Cellular Therapy Program, Massachusetts General Hospital, Boston, MA, USA.
| | - Mohamad Mohty
- Hematology Department, AP-HP, Hôpital Saint-Antoine, Sorbonne Université and INSERM UMRs 938, Paris, France
| | - Robert Zeiser
- Department of Medicine I - Medical Centre, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Takanori Teshima
- Department of Hematology, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Omer Jamy
- Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Johan Maertens
- Department of Hematology, University Hospitals Leuven, Leuven, Belgium
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
| | - Duncan Purtill
- Department of Haematology, Fiona Stanley Hospital, Perth, Western Australia, Australia
- PathWest Laboratory Medicine, Perth, Western Australia, Australia
| | | | | | | | | | - Yngvar Fløisand
- Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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Guo Y, Liu X, Li R, Ng S, Liu Q, Wang L, Hu P, Ren K, Jiang J, Fan J, He Y, Zhu Q, Lin X, Li H, Wang J. Comparison of downsizing strategy (HANGZHOU Solution) and standard annulus sizing strategy in type 0 bicuspid aortic stenosis patients undergoing transcatheter aortic valve replacement: Rationale and design of a randomized clinical trial. Am Heart J 2024; 274:65-74. [PMID: 38701961 DOI: 10.1016/j.ahj.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 04/21/2024] [Accepted: 04/21/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND There has not been a consensus on the prothesis sizing strategy in type 0 bicuspid aortic stenosis (AS) patients undergoing transcatheter aortic valve replacement (TAVR). Modifications to standard annular sizing strategies might be required due to the distinct anatomical characteristics. We have devised a downsizing strategy for TAVR using a self-expanding valve specifically for patients with type 0 bicuspid AS. The primary aim of this study is to compare the safety and efficacy of downsizing strategy with the Standard Annulus Sizing Strategy in TAVR for patients with type 0 bicuspid AS. TRIAL DESIGN It is a prospective, multi-center, superiority, single-blinded, randomized controlled trial comparing the Down Sizing and Standard Annulus Sizing Strategy in patients with type 0 bicuspid aortic stenosis undergoing transcatheter aortic valve replacement. Eligible participants will include patients with severe type 0 bicuspid AS, as defined by criteria such as mean gradient across aortic valve ≥40 mmHg, peak aortic jet velocity ≥4.0 m/s, aortic valve area (AVA) ≤1.0 cm², or AVA index ≤0.6 cm2/m2. These patients will be randomly assigned, in a 1:1 ratio, to either the Down Sizing Strategy group or the Standard Sizing Strategy group. In the Down Sizing Strategy group, a valve one size smaller will be implanted if the "waist sign" manifests along with less than mild regurgitation during balloon pre-dilatation. The primary end point of the study is a composite of VARC-3 defined device success, absence of both permanent pacemaker implantation due to high-degree atrioventricular block and new-onset complete left bundle branch block. CONCLUSION This study will compare the safety and efficacy of Down Sizing Strategy with the Standard Annulus Sizing Strategy and provide valuable insights into the optimal approach for sizing in TAVR patients with type 0 bicuspid AS. We hypothesize that the Down Sizing Strategy will demonstrate superiority when compared to the Standard Annulus Sizing Strategy. (Down Sizing Strategy (HANGZHOU Solution) vs Standard Sizing Strategy TAVR in Bicuspid Aortic Stenosis (Type 0) (TAILOR-TAVR), NCT05511792).
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Affiliation(s)
- Yuchao Guo
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Xianbao Liu
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China; Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou 310053, China
| | - Ranxi Li
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Stella Ng
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Qiong Liu
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Lihan Wang
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Po Hu
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Kaida Ren
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Jubo Jiang
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Jiaqi Fan
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Yuxin He
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Qifeng Zhu
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Xinping Lin
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Huajun Li
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China
| | - Jian'an Wang
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310009, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou 310009, China; Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou 310053, China.
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Parsons MW, Yogendrakumar V, Churilov L, Garcia-Esperon C, Campbell BCV, Russell ML, Sharma G, Chen C, Lin L, Chew BL, Ng FC, Deepak A, Choi PMC, Kleinig TJ, Cordato DJ, Wu TY, Fink JN, Ma H, Phan TG, Markus HS, Molina CA, Tsai CH, Lee JT, Jeng JS, Strbian D, Meretoja A, Arenillas JF, Buck BH, Devlin MJ, Brown H, Butcher KS, O'Brien B, Sabet A, Wijeratne T, Bivard A, Grimley RS, Agarwal S, Munshi SK, Donnan GA, Davis SM, Miteff F, Spratt NJ, Levi CR. Tenecteplase versus alteplase for thrombolysis in patients selected by use of perfusion imaging within 4·5 h of onset of ischaemic stroke (TASTE): a multicentre, randomised, controlled, phase 3 non-inferiority trial. Lancet Neurol 2024; 23:775-786. [PMID: 38880118 DOI: 10.1016/s1474-4422(24)00206-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/05/2024] [Accepted: 05/07/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Intravenous tenecteplase increases reperfusion in patients with salvageable brain tissue on perfusion imaging and might have advantages over alteplase as a thrombolytic for ischaemic stroke. We aimed to assess the non-inferiority of tenecteplase versus alteplase on clinical outcomes in patients selected by use of perfusion imaging. METHODS This international, multicentre, open-label, parallel-group, randomised, clinical non-inferiority trial enrolled patients from 35 hospitals in eight countries. Participants were aged 18 years or older, within 4·5 h of ischaemic stroke onset or last known well, were not being considered for endovascular thrombectomy, and met target mismatch criteria on brain perfusion imaging. Patients were randomly assigned (1:1) by use of a centralised web server with randomly permuted blocks to intravenous tenecteplase (0·25 mg/kg) or alteplase (0·90 mg/kg). The primary outcome was the proportion of patients without disability (modified Rankin Scale 0-1) at 3 months, assessed via masked review in both the intention-to-treat and per-protocol populations. We aimed to recruit 832 participants to yield 90% power (one-sided alpha=0·025) to detect a risk difference of 0·08, with an absolute non-inferiority margin of -0·03. The trial was registered with the Australian New Zealand Clinical Trials Registry, ACTRN12613000243718, and the European Union Clinical Trials Register, EudraCT Number 2015-002657-36, and it is completed. FINDINGS Recruitment ceased early following the announcement of other trial results showing non-inferiority of tenecteplase versus alteplase. Between March 21, 2014, and Oct 20, 2023, 680 patients were enrolled and randomly assigned to tenecteplase (n=339) and alteplase (n=341), all of whom were included in the intention-to-treat analysis (multiple imputation was used to account for missing primary outcome data for five patients). Protocol violations occurred in 74 participants, thus the per-protocol population comprised 601 people (295 in the tenecteplase group and 306 in the alteplase group). Participants had a median age of 74 years (IQR 63-82), baseline National Institutes of Health Stroke Scale score of 7 (4-11), and 260 (38%) were female. In the intention-to-treat analysis, the primary outcome occurred in 191 (57%) of 335 participants allocated to tenecteplase and 188 (55%) of 340 participants allocated to alteplase (standardised risk difference [SRD]=0·03 [95% CI -0·033 to 0·10], one-tailed pnon-inferiority=0·031). In the per-protocol analysis, the primary outcome occurred in 173 (59%) of 295 participants allocated to tenecteplase and 171 (56%) of 306 participants allocated to alteplase (SRD 0·05 [-0·02 to 0·12], one-tailed pnon-inferiority=0·01). Nine (3%) of 337 patients in the tenecteplase group and six (2%) of 340 in the alteplase group had symptomatic intracranial haemorrhage (unadjusted risk difference=0·01 [95% CI -0·01 to 0·03]) and 23 (7%) of 335 and 15 (4%) of 340 died within 90 days of starting treatment (SRD 0·02 [95% CI -0·02 to 0·05]). INTERPRETATION The findings in our study provide further evidence to strengthen the assertion of the non-inferiority of tenecteplase to alteplase, specifically when perfusion imaging has been used to identify reperfusion-eligible stroke patients. Although non-inferiority was achieved in the per-protocol population, it was not reached in the intention-to-treat analysis, possibly due to sample size limtations. Nonetheless, large-scale implementation of perfusion CT to assist in patient selection for intravenous thrombolysis in the early time window was shown to be feasible. FUNDING Australian National Health Medical Research Council; Boehringer Ingelheim.
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Affiliation(s)
- Mark W Parsons
- Department of Neurology, Liverpool Hospital, University of New South Wales, Ingham Institute, Liverpool, NSW, Australia; Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia; Hunter New England Local Health District, New Lambton Heights, NSW, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia.
| | - Vignan Yogendrakumar
- Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Leonid Churilov
- Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Carlos Garcia-Esperon
- Hunter New England Local Health District, New Lambton Heights, NSW, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Bruce C V Campbell
- Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Michelle L Russell
- Hunter New England Local Health District, New Lambton Heights, NSW, Australia
| | - Gagan Sharma
- Department of Neurology, Liverpool Hospital, University of New South Wales, Ingham Institute, Liverpool, NSW, Australia; Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Chushuang Chen
- Department of Neurology, Liverpool Hospital, University of New South Wales, Ingham Institute, Liverpool, NSW, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Longting Lin
- Department of Neurology, Liverpool Hospital, University of New South Wales, Ingham Institute, Liverpool, NSW, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Beng Lim Chew
- Hunter New England Local Health District, New Lambton Heights, NSW, Australia
| | - Felix C Ng
- Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia; Austin Health, Melbourne, VIC, Australia
| | | | - Philip M C Choi
- Department of Neuroscience, Box Hill Hospital, Eastern Health, Melbourne, VIC, Australia
| | - Timothy J Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Dennis J Cordato
- Department of Neurology, Liverpool Hospital, University of New South Wales, Ingham Institute, Liverpool, NSW, Australia
| | - Teddy Y Wu
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - John N Fink
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - Henry Ma
- Schools of Clinical Science at Monash Health, Department of Medicine and Neurology, Monash University, Melbourne, VIC, Australia
| | - Thanh G Phan
- Schools of Clinical Science at Monash Health, Department of Medicine and Neurology, Monash University, Melbourne, VIC, Australia
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Carlos A Molina
- Vall d'Hebron Stroke Center, Department of Neurology, Hospital Vall d'Hebron, Barcelona, Spain
| | - Chon-Haw Tsai
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Atte Meretoja
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Juan F Arenillas
- Department of Neurology, Hospital Clínico Universitario, Valladolid Health Research Institute, University of Valladolid, Valladolid, Spain
| | - Brian H Buck
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Michael J Devlin
- Department of Neurology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Helen Brown
- Department of Neurology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Ken S Butcher
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | | | - Arman Sabet
- Gold Coast University Hospital, Southport, Queensland, Australia
| | - Tissa Wijeratne
- Department of Medicine, University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, Western Health, Sunshine Hospital, St Albans, VIC, Australia
| | - Andrew Bivard
- Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Rohan S Grimley
- Sunshine Coast University Hospital, School of Medicine and Dentistry, Griffith University, Birtinya, QLD, Australia
| | - Smriti Agarwal
- Department of Clinical Neurosciences, Addenbrooke's Hospital, Cambridge, UK
| | - Sunil K Munshi
- Nottingham University Hospital NHS Trust, Nottingham, UK
| | - Geoffrey A Donnan
- Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen M Davis
- Melbourne Brain Centre, Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Ferdinand Miteff
- Hunter New England Local Health District, New Lambton Heights, NSW, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Neil J Spratt
- Hunter New England Local Health District, New Lambton Heights, NSW, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher R Levi
- Hunter New England Local Health District, New Lambton Heights, NSW, Australia; Faculty of Medicine, University of Newcastle, Newcastle, NSW, Australia
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Edanaga M, Chaki T, Osuda M, Yamakage M. Radial artery catheterization using a novel T-type ultrasound probe: a single-center randomized study. J Anesth 2024:10.1007/s00540-024-03376-8. [PMID: 38980399 DOI: 10.1007/s00540-024-03376-8] [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: 09/12/2023] [Accepted: 06/24/2024] [Indexed: 07/10/2024]
Abstract
Ultrasound guidance has been reported to facilitate radial artery catheterization compared with the palpation method. However, a recent meta-analysis showed that there was not significant differences in the first attempt success rate between the long-axis in-plane (LA-IP) method and the short-axis out-of-plane method. In 2023, we started using a novel T-type probe. We can recognize the needle first during the radial artery access with the short-axis view and then dose it with the long-axis view using the T-type probe. Therefore, we hypothesized that the T-type probe-guided method might heighten the first attempt success rate in radial artery catheterization, even for non-expert practitioners, compared with the LA-IP technique. One hundred and fifty adult patients, older than 20 years, ASA I to III, were randomly assigned to the T-type probe-guided group (Group T: n = 75) or the LA-IP group (Group L: n = 75). The primary outcome was the first attempt success rate. The first attempt success rate in Group T (49/71, 69%) was significantly higher than that in Group L (31/68, 46%) (p = 0.0062). The present study showed that the T-type probe might facilitate the radial artery catheterization rather than the LA-IP method.
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Affiliation(s)
- Mitsutaka Edanaga
- Department of Anesthesiology, Sapporo Medical University School of Medicine, S1, W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.
| | - Tomohiro Chaki
- Department of Anesthesiology, Sapporo Medical University School of Medicine, S1, W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan
| | - Michiko Osuda
- Department of Anesthesiology, NTT Medical Center Sapporo, Sapporo, Hokkaido, Japan
| | - Michiaki Yamakage
- Department of Anesthesiology, Sapporo Medical University School of Medicine, S1, W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan
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White R, Lam P, Lu N, Su X, Bergemann T, Johnson T, Stephens D, Farb A, Jaff M, Lansky A, Kirtane A, Rymer J, Krucoff M. Statistical considerations for cardiovascular clinical trials straddling the continuum of pandemic phases. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2024:S1553-8389(24)00538-4. [PMID: 38897847 DOI: 10.1016/j.carrev.2024.06.008] [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: 03/10/2024] [Revised: 06/04/2024] [Accepted: 06/07/2024] [Indexed: 06/21/2024]
Abstract
In 2020, the NIH and FDA issued guidance documents that laid the foundation for human subject research during an unprecedented pandemic. To bridge these general considerations to actual applications in cardiovascular interventional device trials, the PAndemic Impact on INTErventional device ReSearch (PAIINTERS) Working Group was formed in early 2021 under the Predictable And Sustainable Implementation Of National CardioVascular Registries (PASSION CV Registries). The PAIINTER's Part I report, published by Rymer et al. [5], provided a comprehensive overview of the operational impact on interventional studies during the first year of the Pandemic. PAIINTERS Part II focused on potential statistical issues related to bias, variability, missing data, and study power when interventional studies may start and end in different pandemic phases. Importantly, the paper also offers practical mitigation strategies to adjust or minimize the impact for both SATs and RCTs, providing a valuable resource for researchers and professionals involved in cardiovascular clinical trials.
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Affiliation(s)
- Roseann White
- Your 3rd Opinion, 5515 New Rise Ct, Chapel Hill, NC 27516, United States of America.
| | - Peter Lam
- Boston Scientific, 300 Boston Scientific Way, Marlborough, MA 01752-1234, United States of America
| | - Nelson Lu
- US Food Drug Administration Center for Devices and Radiologic Health, 10903 New Hampshire Ave., Silver Spring, MD 20993, United States of America
| | - Xiaolu Su
- Abbott Cardiovascular, 3200 lakeside Drive, Santa Clara, CA 95054, United States of America
| | - Tracy Bergemann
- Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432, United States of America
| | - Terri Johnson
- Your 3rd Opinion, 5515 New Rise Ct, Chapel Hill, NC 27516, United States of America
| | - Dan Stephens
- Boston Scientific, 1 Scimed Place, Maple Grove, MN 55311, United States of America
| | - Andrew Farb
- US Food Drug Administration Center for Devices and Radiologic Health, 10903 New Hampshire Ave., Silver Spring, MD 20993, United States of America
| | - Michael Jaff
- Boston Scientific, 300 Boston Scientific Way, Marlborough, MA 01752-1234, United States of America
| | - Alexandra Lansky
- Yale University School of Medicine, 47 College, Unit 203, New Haven, CT 06511, United States of America
| | - Ajay Kirtane
- Columbia School of Medicine, Duke University, 630 West 168th Street, NY, NY 10032, United States of America
| | - Jennifer Rymer
- Duke University Hospital, 2301 Irwin Rd, Durham, NC 27710, United States of America
| | - Mitchell Krucoff
- Duke University Medical Center, 10 Duke Medicine Circle, Durham, NC 27710, United States of America
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19
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de Wilt JHW, Verhoef C, de Boer MT, Stommel MWJ, van der Plas-Kemper L, Garms LM, van der Zijden CJ, Head SJ, Bender JCME, van Goor H, Porte RJ. Clinical Safety and Performance of GATT-Patch for Hemostasis in Minimal to Moderate Bleeding During Open Liver Surgery. J Surg Res 2024; 298:316-324. [PMID: 38640617 DOI: 10.1016/j.jss.2024.03.033] [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: 08/02/2023] [Revised: 01/30/2024] [Accepted: 03/21/2024] [Indexed: 04/21/2024]
Abstract
INTRODUCTION Intraoperative blood loss and postoperative hemorrhage affect outcomes after liver resection. GATT-Patch is a new flexible, pliable hemostatic sealant patch comprising fibrous gelatin carrier impregnated with N-hydroxy-succinimide polyoxazoline. We evaluated safety and performance of the GATT-Patch for hemostasis at the liver resection plane. METHODS Adult patients undergoing elective open liver surgery were recruited in three centers. GATT-Patch was used for minimal to moderate bleeding at the liver resection plane. The primary endpoint was hemostasis of the first-treated bleeding site at 3 min versus a prespecified performance goal of 65.4%. RESULTS Two trial stages were performed: I (n = 8) for initial safety and II (n = 39) as the primary outcome cohort. GATT-Patch was applied in 47 patients on 63 bleeding sites. Median age was 60.0 (range 25-80) years and 70% were male. Most (66%) surgeries were for colorectal cancer metastases. The primary endpoint was met in 38 out of 39 patients (97.4%; 95% confidence interval: 84.6%-99.9%) versus 65.4% (P < 0.001). Of all the 63 bleeding sites, hemostasis was 82.7% at 30, 93.7% at 60, and 96.8% at 180 s. No reoperations for rebleeding or device-related issues occurred. CONCLUSIONS When compared to a performance goal derived from state-of-the-art hemostatic agents, GATT-Patch for the treatment of minimal to moderate bleeding during liver surgery successfully and quickly achieved hemostasis with acceptable safety outcomes. (ClinicalTrials.gov Identifier: NCT04819945).
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Affiliation(s)
- Johannes H W de Wilt
- Department of Surgical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Cornelis Verhoef
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Marieke T de Boer
- Department of HPB Surgery, University Medical Center Groningen, The Netherlands
| | - Martijn W J Stommel
- Department of Surgical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Linda M Garms
- Department of Surgical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Charlène J van der Zijden
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | | | - Harry van Goor
- Department of Surgical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert J Porte
- Department of HPB Surgery, University Medical Center Groningen, The Netherlands
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20
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Yassi N, Zhao H, Churilov L, Wu TY, Ma H, Nguyen HT, Cheung A, Meretoja A, Mai DT, Kleinig T, Jeng JS, Choi PMC, Duc PD, Brown H, Ranta A, Spratt N, Cloud GC, Wang HK, Grimley R, Mahawish K, Cho DY, Shah D, Nguyen TMP, Sharma G, Yogendrakumar V, Yan B, Harrison EL, Devlin M, Cordato D, Martinez-Majander N, Strbian D, Thijs V, Sanders LM, Anderson D, Parsons MW, Campbell BCV, Donnan GA, Davis SM. Tranexamic acid versus placebo in individuals with intracerebral haemorrhage treated within 2 h of symptom onset (STOP-MSU): an international, double-blind, randomised, phase 2 trial. Lancet Neurol 2024; 23:577-587. [PMID: 38648814 DOI: 10.1016/s1474-4422(24)00128-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 03/18/2024] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Tranexamic acid, an antifibrinolytic agent, might attenuate haematoma growth after an intracerebral haemorrhage. We aimed to determine whether treatment with intravenous tranexamic acid within 2 h of an intracerebral haemorrhage would reduce haematoma growth compared with placebo. METHODS STOP-MSU was an investigator-led, double-blind, randomised, phase 2 trial conducted at 24 hospitals and one mobile stroke unit in Australia, Finland, New Zealand, Taiwan, and Viet Nam. Eligible participants had acute spontaneous intracerebral haemorrhage confirmed on non-contrast CT, were aged 18 years or older, and could be treated with the investigational product within 2 h of stroke onset. Using randomly permuted blocks (block size of 4) and a concealed pre-randomised assignment procedure, participants were randomly assigned (1:1) to receive intravenous tranexamic acid (1 g over 10 min followed by 1 g over 8 h) or placebo (saline; matched dosing regimen) commencing within 2 h of symptom onset. Participants, investigators, and treating teams were masked to group assignment. The primary outcome was haematoma growth, defined as either at least 33% relative growth or at least 6 mL absolute growth on CT at 24 h (target range 18-30 h) from the baseline CT. The analysis was conducted within the estimand framework with primary analyses adhering to the intention-to-treat principle. The primary endpoint and secondary safety endpoints (mortality at days 7 and 90 and major thromboembolic events at day 90) were assessed in all participants randomly assigned to treatment groups who did not withdraw consent to use any data. This study was registered with ClinicalTrials.gov, NCT03385928, and the trial is now complete. FINDINGS Between March 19, 2018, and Feb 27, 2023, 202 participants were recruited, of whom one withdrew consent for any data use. The remaining 201 participants were randomly assigned to either placebo (n=98) or tranexamic acid (n=103; intention-to-treat population). Median age was 66 years (IQR 55-77), and 82 (41%) were female and 119 (59%) were male; no data on race or ethnicity were collected. CT scans at baseline or follow-up were missing or of inadequate quality in three participants (one in the placebo group and two in the tranexamic acid group), and were considered missing at random. Haematoma growth occurred in 37 (38%) of 97 assessable participants in the placebo group and 43 (43%) of 101 assessable participants in the tranexamic acid group (adjusted odds ratio [aOR] 1·31 [95% CI 0·72 to 2·40], p=0·37). Major thromboembolic events occurred in one (1%) of 98 participants in the placebo group and three (3%) of 103 in the tranexamic acid group (risk difference 0·02 [95% CI -0·02 to 0·06]). By 7 days, eight (8%) participants in the placebo group and eight (8%) in the tranexamic acid group had died (aOR 1·08 [95% CI 0·35 to 3·35]) and by 90 days, 15 (15%) participants in the placebo group and 19 (18%) in the tranexamic acid group had died (aOR 1·61 [95% CI 0·65 to 3·98]). INTERPRETATION Intravenous tranexamic acid did not reduce haematoma growth when administered within 2 h of intracerebral haemorrhage symptom onset. There were no observed effects on other imaging endpoints, functional outcome, or safety. Based on our results, tranexamic acid should not be used routinely in primary intracerebral haemorrhage, although results of ongoing phase 3 trials will add further context to these findings. FUNDING Australian Government Medical Research Future Fund.
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Affiliation(s)
- Nawaf Yassi
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia; Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
| | - Henry Zhao
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Leonid Churilov
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia; Melbourne Medical School, University of Melbourne, Parkville, VIC, Australia
| | - Teddy Y Wu
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - Henry Ma
- Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Huy-Thang Nguyen
- Department of Cerebrovascular Disease, 115 Hospital, Ho Chi Minh City, Viet Nam
| | - Andrew Cheung
- Department of Interventional Neuroradiology, Liverpool Hospital, Liverpool, NSW, Australia
| | - Atte Meretoja
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Duy Ton Mai
- Stroke Center, Bach Mai Hospital, Hanoi Medical University, VNU University of Medicine and Pharmacy, Hanoi, Viet Nam
| | - Timothy Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Jiann-Shing Jeng
- Stroke Centre and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Philip M C Choi
- Department of Neuroscience, Box Hill Hospital, Eastern Health, Eastern Health Clinical School, Monash University, Box Hill, VIC, Australia
| | - Phuc Dang Duc
- Stroke Department, 103 Military Hospital, Hanoi, Viet Nam
| | - Helen Brown
- Department of Neurology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Annemarei Ranta
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Neil Spratt
- Department of Neurology, John Hunter Hospital, and School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia
| | - Geoffrey C Cloud
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
| | - Hao-Kuang Wang
- Department of Neurosurgery, E-Da Hospital, I-Shou University, Yanchao, Taiwan
| | - Rohan Grimley
- Department of Medicine, Sunshine Coast University Hospital, Birtinya, QLD, Australia
| | - Karim Mahawish
- Department of Internal Medicine, Palmerston North Hospital, Palmerston North, New Zealand
| | - Der-Yang Cho
- Department of Neurosurgery, China Medical University Hospital, Taichung, Taiwan
| | - Darshan Shah
- Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
| | | | - Gagan Sharma
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Vignan Yogendrakumar
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Bernard Yan
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Emma L Harrison
- Department of Neurology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Michael Devlin
- Department of Neurology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Dennis Cordato
- Department of Interventional Neuroradiology, Liverpool Hospital, Liverpool, NSW, Australia
| | - Nicolas Martinez-Majander
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland; Department of Neurology, University of Helsinki, Helsinki, Finland
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland; Department of Neurology, University of Helsinki, Helsinki, Finland
| | - Vincent Thijs
- The Florey, Stroke Theme, Heidelberg, VIC, Australia; Department of Neurology, Austin Hospital, Heidelberg, VIC, Australia; Department of Medicine, University of Melbourne, Heidelberg, VIC, Australia
| | - Lauren M Sanders
- Department of Neurosciences, St Vincent's Hospital, Melbourne, VIC, Australia
| | | | - Mark W Parsons
- Department of Neurology, Liverpool Hospital, Liverpool, NSW, Australia
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Stephen M Davis
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
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21
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Schüürhuis S, Konietschke F, Kunz CU. A two-stage group-sequential design for delayed treatment responses with the possibility of trial restart. Stat Med 2024; 43:2368-2388. [PMID: 38564226 DOI: 10.1002/sim.10061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 02/22/2024] [Accepted: 03/02/2024] [Indexed: 04/04/2024]
Abstract
Common statistical theory applicable to confirmatory phase III trial designs usually assumes that patients are enrolled simultaneously and there is no time gap between enrollment and outcome observation. However, in practice, patients are enrolled successively and there is a lag between the enrollment of a patient and the measurement of the primary outcome. For single-stage designs, the difference between theory and practice only impacts on the trial duration but not on the statistical analysis and its interpretation. For designs with interim analyses, however, the number of patients already enrolled into the trial and the number of patients with available outcome measurements differ, which can cause issues regarding the statistical analyses of the data. The main issue is that current methodologies either imply that at the time of the interim analysis there are so-called pipeline patients whose data are not used to make a statistical decision (like stopping early for efficacy) or the enrollment into the trial needs to be at least paused for interim analysis to avoid pipeline patients. There are methods for delayed responses available that introduced error-spending stopping boundaries for the enrollment of patients followed by critical values to reject the null hypothesis in case the stopping boundaries have been crossed beforehand. Here, we will discuss other solutions, considering different boundary determination algorithms using conditional power and introducing a design allowing for recruitment restart while keeping the type I error rate controlled.
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Affiliation(s)
- Stephen Schüürhuis
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
| | - Frank Konietschke
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
| | - Cornelia Ursula Kunz
- Biostatistics and Data Sciences, Boehringer Ingelheim GmbH & Co. KG, Biberach an der Riß, Germany
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22
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Cui L. Sample size adaptation designs and efficiency comparison with group sequential designs. Stat Med 2024; 43:2203-2215. [PMID: 38545849 DOI: 10.1002/sim.10066] [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: 07/27/2023] [Revised: 01/25/2024] [Accepted: 03/12/2024] [Indexed: 05/18/2024]
Abstract
This study is to give a systematic account of sample size adaptation designs (SSADs) and to provide direct proof of the efficiency advantage of general SSADs over group sequential designs (GSDs) from a different perspective. For this purpose, a class of sample size mapping functions to define SSADs is introduced. Under the two-stage adaptive clinical trial setting, theorems are developed to describe the properties of SSADs. Sufficient conditions are derived and used to prove analytically that SSADs based on the weighted combination test can be uniformly more efficient than GSDs in a range of likely values of the true treatment differenceδ $$ \delta $$ . As shown in various scenarios, given a GSD, a fully adaptive SSAD can be obtained that has sufficient statistical power similar to that of the GSD but has a smaller average sample size for allδ $$ \delta $$ in the range. The associated sample size savings can be substantial. A practical design example and suggestions on the steps to find efficient SSADs are also provided.
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Affiliation(s)
- Lu Cui
- Independent Researcher, Washington DC, USA
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23
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Liu CC, Yu RX. Epistemic uncertainty in Bayesian predictive probabilities. J Biopharm Stat 2024; 34:394-412. [PMID: 37157818 DOI: 10.1080/10543406.2023.2204943] [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: 01/06/2022] [Accepted: 04/15/2023] [Indexed: 05/10/2023]
Abstract
Bayesian predictive probabilities have become a ubiquitous tool for design and monitoring of clinical trials. The typical procedure is to average predictive probabilities over the prior or posterior distributions. In this paper, we highlight the limitations of relying solely on averaging, and propose the reporting of intervals or quantiles for the predictive probabilities. These intervals formalize the intuition that uncertainty decreases with more information. We present four different applications (Phase 1 dose escalation, early stopping for futility, sample size re-estimation, and assurance/probability of success) to demonstrate the practicality and generality of the proposed approach.
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Affiliation(s)
- Charles C Liu
- Department of Biostatistics, Gilead Sciences, Foster City, CA, USA
| | - Ron Xiaolong Yu
- Department of Biostatistics, Gilead Sciences, Foster City, CA, USA
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24
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Wu L, Lin J. An adaptive seamless 2-in-1 design with biomarker-driven subgroup enrichment. J Biopharm Stat 2024:1-15. [PMID: 38651758 DOI: 10.1080/10543406.2024.2341683] [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: 10/02/2023] [Accepted: 04/05/2024] [Indexed: 04/25/2024]
Abstract
Adaptive seamless phase 2/3 subgroup enrichment design plays a pivotal role in streamlining efficient drug development within a competitive landscape, while also enhancing patient access to promising treatments. This design approach identifies biomarker subgroups with the highest potential to benefit from investigational regimens. The seamless integration of Phase 2 and Phase 3 ensures a timely confirmation of clinical benefits. One significant challenge in adaptive enrichment decisions is determining the optimal timing and maturity of the primary endpoint. In this paper, we propose an adaptive seamless 2-in-1 biomarker-driven subgroup enrichment design that addresses this challenge by allowing subgroup selection using an early intermediate endpoint that predicts clinical benefits (i.e. a surrogate endpoint). The proposed design initiates with a Phase 2 stage involving all participants and can potentially expand into a Phase 3 study focused on the subgroup demonstrating the most favorable clinical outcomes. We will show that, under certain correlation assumptions, the overall type I error may not be inflated at the end of the study. In scenarios where the assumptions may not hold, we present a general framework to control the multiplicity. The flexibility and efficacy of the proposed design are highlighted through an extensive simulation study and illustrated in a case study in multiple myeloma.
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Affiliation(s)
- Liwen Wu
- Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA
| | - Jianchang Lin
- Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA
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25
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Li B, Yan F, Jiang D. Adaptive promising zone design for cancer immunotherapy with heterogeneous delayed treatment effect. J Biopharm Stat 2024:1-20. [PMID: 38615361 DOI: 10.1080/10543406.2024.2341674] [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: 07/11/2023] [Accepted: 04/05/2024] [Indexed: 04/16/2024]
Abstract
Indirect mechanisms of cancer immunotherapies result in delayed treatment effects that vary among patients. Consequently, the use of the log-rank test in trial design and analysis can lead to significant power loss and pose additional challenges for interim decisions in adaptive designs. In this paper, we describe patients' survival using a piecewise proportional hazard model with random lag time and propose an adaptive promising zone design for cancer immunotherapy with heterogeneous delayed effects. We provide solutions for calculating conditional power and adjusting the critical value for the log-rank test with interim data. We divide the sample space into three zones - unfavourable, promising, and favourable -based on re-estimations of the survival parameters, the log-rank test statistic at the interim analysis, and the initial and maximum sample sizes. If the interim results fall into the promising zone, the sample size is increased; otherwise, it remains unchanged. We show through simulations that our proposed approach has greater overall power than the fixed sample design and similar power to the matched group sequential trial. Furthermore, we confirm that critical value adjustment effectively controls the type I error rate inflation. Finally, we provide recommendations on the implementation of our proposed method in cancer immunotherapy trials.
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Affiliation(s)
- Bosheng Li
- Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Fangrong Yan
- Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Depeng Jiang
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
- School of Public Health, Southeast University, Nanjing, China
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26
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Lin J, Lin J. Incorporating external real-world data (RWD) in confirmatory adaptive design. J Biopharm Stat 2024:1-13. [PMID: 38515261 DOI: 10.1080/10543406.2024.2330212] [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: 07/31/2023] [Accepted: 03/12/2024] [Indexed: 03/23/2024]
Abstract
Adaptive designs, such as group sequential designs (and the ones with additional adaptive features) or adaptive platform trials, have been quintessential efficient design strategies in trials of unmet medical needs, especially for generating evidence from global regions. Such designs allow interim decision making and making adjustment to study design when necessary, meanwhile maintaining study integrity and operating characteristics. However, driven by the heightened competitive landscape and the desire to bring effective treatment to patients faster, innovation in the already functional designs is still germane to further propel drug development to a more efficient path. One way to achieve this is by leveraging external real-world data (RWD) in the adaptive designs to support interim or final decision making. In this paper, we propose a novel framework of incorporating external RWD in adaptive design to improve interim and/or final analysis decision making. Within this framework, researchers can prespecify the decision process and choose the timing and amount of borrowing while maintaining objectivity and controlling of type I error. Simulation studies in various scenarios are provided to describe power, type I error, and other performance metrics for interim/final decision making. A case study in non-small cell lung cancer is used for illustration on proposed design framework.
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Affiliation(s)
- Junjing Lin
- Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA
| | - Jianchang Lin
- Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA
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27
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Quan H, Xu Y, Liu Y, Chen X. Design and monitoring of clinical trials with an interim analysis and a negative binomial endpoint. Contemp Clin Trials 2024; 138:107467. [PMID: 38331382 DOI: 10.1016/j.cct.2024.107467] [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: 10/04/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 02/10/2024]
Abstract
There are very rich publications devoted to group sequential design, adaptive design and trial monitoring for continuous, binary and time to event endpoints. Many authors also discuss fixed design, blinded sample size re-estimation design and group sequential design for studies with a negative binomial outcome. Nonetheless, literature is sparse in adaptive design for a trial with a negative binomial endpoint. The features of such an endpoint in a flexible trial design setting remains inadequately understood. In this research, we seek to bridge this knowledge gap by offering a thorough examination of utilizing data components from a two-stage adaptive design for unblinded conditional power calculation and corresponding sample size re-estimation. We also provide expression for calculating the probability of meeting the futility criterion to determine the appropriate timing for the interim analysis. To evaluate the performance of the design, we conduct simulations to assess its operation characteristics. Finally, we provide a helpful and illustrative example to demonstrate the practical applications of the methods.
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Affiliation(s)
- Hui Quan
- Biostatistics and Programming, Sanofi, 55 Corporate Drive, Bridgewater, NJ 08807, United States of America.
| | - Yuqing Xu
- Biostatistics and Programming, Sanofi, 55 Corporate Drive, Bridgewater, NJ 08807, United States of America
| | - Ying Liu
- Biostatistics and Programming, Sanofi, 55 Corporate Drive, Bridgewater, NJ 08807, United States of America
| | - Xun Chen
- Biostatistics and Programming, Sanofi, 55 Corporate Drive, Bridgewater, NJ 08807, United States of America
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28
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Zhao ZA, Qiu J, Li W, Nguyen T, Wang S, Shi H, Wei M, Wang F, Li D, Chen HS. Intra-arterial tenecteplase during thrombectomy for acute stroke (BRETIS-TNK II): rationale and design. Stroke Vasc Neurol 2024; 9:59-65. [PMID: 37169399 PMCID: PMC10961245 DOI: 10.1136/svn-2023-002377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 04/20/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Our recent pilot study suggests intra-arterial tenecteplase (TNK) during the first pass of endovascular treatment (EVT) seems safe, may increase first-pass reperfusion and good outcome in acute ischaemic stroke (AIS) patients with large-vessel occlusion (LVO). AIMS To determine the efficacy and safety of intra-arterial TNK administration during EVT in AIS-LVO patients presenting up to 24 hours from symptom onset. SAMPLE SIZE ESTIMATES A maximum of 380 patients are required to test the superiority hypothesis with 80% power according to a two-side 0.05 level of significance, stratified by age, gender, baseline systolic blood pressure, prestroke modified Rankin Scale (mRS), baseline National Institute of Health stroke scale, baseline ASPECTS, time from onset to groin puncture, intravenous thrombolysis before EVT, stroke territory and stroke aetiology. DESIGN Intra-arterial TNK during thrombectomy for acute stroke (BRETIS-TNK II) study is a prospective, randomised, adaptive enrichment, open-label, blinded end point, multicentre study. Eligible AIS-LVO patients are randomly assigned into the experimental group and control group with a ratio of 1:1. The experimental group will be treated with intra-arterial infusion of TNK during EVT. The control group will be treated with standard EVT. OUTCOME The primary end point is a favourable outcome, defined as an mRS score of 0-2 at 90 days. The primary safety end point is symptomatic intracranial haemorrhage within 48 hours, which is defined as an increase in the National Institutes of Health Stroke Scale score of ≥4 points as a result of the intracranial haemorrhage. CONCLUSIONS The results of BRETIS-TNK II will provide evidence for the efficacy and safety of intra-arterial TNK administration during EVT in AIS patients with LVO.
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Affiliation(s)
- Zi-Ai Zhao
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China
| | - Jing Qiu
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China
| | - Wei Li
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China
| | - Thanh Nguyen
- Neurology, Radiology, Boston Medical Center, Boston, Massachusetts, USA
| | - Shouchun Wang
- Department of Neurology, First Affiliated Hospital of Jilin University, Changchun, Jilin, China
| | - Huaizhang Shi
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Ming Wei
- Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, Tianjin, China
| | - Feng Wang
- Department of Interventional Therapy, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Di Li
- Neurological Intervention Department, Dalian Municipal Central Hospital, Dalian, Liaoning, China
| | - Hui-Sheng Chen
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China
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29
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Guénégou-Arnoux A, Murris J, Bechet S, Jung C, Auchabie J, Dupeyrat J, Anguel N, Asfar P, Badie J, Carpentier D, Chousterman B, Bourenne J, Delbove A, Devaquet J, Deye N, Dumas G, Dureau AF, Lascarrou JB, Legriel S, Guitton C, Jannière-Nartey C, Quenot JP, Lacherade JC, Maizel J, Mekontso Dessap A, Mourvillier B, Petua P, Plantefeve G, Richard JC, Robert A, Saccheri C, Vong LVP, Katsahian S, Schortgen F. Protocol for fever control using external cooling in mechanically ventilated patients with septic shock: SEPSISCOOL II randomised controlled trial. BMJ Open 2024; 14:e069430. [PMID: 38286691 PMCID: PMC10826574 DOI: 10.1136/bmjopen-2022-069430] [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: 10/24/2022] [Accepted: 11/08/2023] [Indexed: 01/31/2024] Open
Abstract
INTRODUCTION Fever treatment is commonly applied in patients with sepsis but its impact on survival remains undetermined. Patients with respiratory and haemodynamic failure are at the highest risk for not tolerating the metabolic cost of fever. However, fever can help to control infection. Treating fever with paracetamol has been shown to be less effective than cooling. In the SEPSISCOOL pilot study, active fever control by external cooling improved organ failure recovery and early survival. The main objective of this confirmatory trial is to assess whether fever control at normothermia can improve the evolution of organ failure and mortality at day 60 of febrile patients with septic shock. This study will compare two strategies within the first 48 hours of septic shock: treatment of fever with cooling or no treatment of fever. METHODS AND ANALYSIS SEPSISCOOL II is a pragmatic, investigator-initiated, adaptive, multicentre, open-label, randomised controlled, superiority trial in patients admitted to the intensive care unit with febrile septic shock. After stratification based on the acute respiratory distress syndrome status, patients will be randomised between two arms: (1) cooling and (2) no cooling. The primary endpoint is mortality at day 60 after randomisation. The secondary endpoints include the evolution of organ failure, early mortality and tolerance. The target sample size is 820 patients. ETHICS AND DISSEMINATION The study is funded by the French health ministry and was approved by the ethics committee CPP Nord Ouest II (Amiens, France). The results will be submitted for publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04494074.
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Affiliation(s)
- Armelle Guénégou-Arnoux
- INSERM CIC1418-EC, INSERM-INRIA HeKA, Université Paris Cité, Paris, France
- Hôpital européen Georges Pompidou, Unité de Recherche Clinique, AP-HP, Paris, France
| | - Juliette Murris
- INSERM-INRIA HeKA, Université Paris Cité, Paris, France
- RWE & Data, Pierre Fabre SA, Paris, France
| | | | - Camille Jung
- Centre Hospitalier Intercommunal de Créteil, Creteil, France
| | | | | | - Nadia Anguel
- ICU Medical, AP-HP, Hôpital du Kremlin Bicêtre, Le Kremlin-Bicètre, France
| | - Pierre Asfar
- Centre Hospitalier Universitaire d'Angers, Angers, France
| | - Julio Badie
- Hôpital Nord Franche-Comté - Site de Belfort, Belfort, France
| | | | | | - Jeremy Bourenne
- Médecine Intensive Réanimation, Réanimation des Urgences, Aix-Marseille Université, CHU La Timone 2, Marseille, France
| | - Agathe Delbove
- Réanimation Polyvalente, Centre Hospitalier Bretagne Atlantique, Vannes, France
| | - Jérôme Devaquet
- Medical-Surgical Intensive Care Unit, Hôpital Foch, Suresnes, France
| | - Nicolas Deye
- Réanimation Médicale et Toxicologique, AP-HP, INSERM UMR-S 942, Hopital Lariboisiere, Paris, France
| | - Guillaume Dumas
- Intensive Care Medicine, Hôpital Albert Michallon, La Tronche, France
| | | | | | - Stephane Legriel
- Intensive Care Unit, Centre Hospitalier de Versailles, Le Chesnay, France
| | - Christophe Guitton
- Médecine intensive réanimation, Centre Hospitalier de Mans, Le Mans, France
| | | | | | - Jean-Claude Lacherade
- Medical-Surgical Intensive Care Unit, Centre Hospitalier Departmental La Roche-sur-Yon, La Roche-sur-Yon, France
| | - Julien Maizel
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire Amiens-Picardie, Amiens, France
| | | | | | | | - Gaetan Plantefeve
- Service de Médecine Intensive Réanimation, Centre Hospitalier d'Argenteuil, Argenteuil, France
| | | | - Alexandre Robert
- Pasteur 2 Medical ICU, Centre Hospitalier Universitaire de Nice Hôpital Pasteur, Nice, France
| | - Clément Saccheri
- Medical ICU, Centre Hospitalier Universitaire de Nice, Nice, France
| | | | - Sandrine Katsahian
- INSERM CIC1418-EC, INSERM-INRIA HeKA, Université Paris Cité, Paris, France
- Hôpital européen Georges Pompidou, Unité de Recherche Clinique, AP-HP, Paris, France
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Bokelmann B, Rauch G, Meis J, Kieser M, Herrmann C. Extension of a conditional performance score for sample size recalculation rules to the setting of binary endpoints. BMC Med Res Methodol 2024; 24:15. [PMID: 38243169 PMCID: PMC10797857 DOI: 10.1186/s12874-024-02150-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 01/12/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Sample size calculation is a central aspect in planning of clinical trials. The sample size is calculated based on parameter assumptions, like the treatment effect and the endpoint's variance. A fundamental problem of this approach is that the true distribution parameters are not known before the trial. Hence, sample size calculation always contains a certain degree of uncertainty, leading to the risk of underpowering or oversizing a trial. One way to cope with this uncertainty are adaptive designs. Adaptive designs allow to adjust the sample size during an interim analysis. There is a large number of such recalculation rules to choose from. To guide the choice of a suitable adaptive design with sample size recalculation, previous literature suggests a conditional performance score for studies with a normally distributed endpoint. However, binary endpoints are also frequently applied in clinical trials and the application of the conditional performance score to binary endpoints is not yet investigated. METHODS We extend the theory of the conditional performance score to binary endpoints by suggesting a related one-dimensional score parametrization. We moreover perform a simulation study to evaluate the operational characteristics and to illustrate application. RESULTS We find that the score definition can be extended without modification to the case of binary endpoints. We represent the score results by a single distribution parameter, and therefore derive a single effect measure, which contains the difference in proportions [Formula: see text] between the intervention and the control group, as well as the endpoint proportion [Formula: see text] in the control group. CONCLUSIONS This research extends the theory of the conditional performance score to binary endpoints and demonstrates its application in practice.
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Affiliation(s)
- Björn Bokelmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany.
| | - Geraldine Rauch
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany
- Technische Universität Berlin, Straße des 17. Juni 135, 10623, Berlin, Germany
| | - Jan Meis
- Institute of Medical Biometry, University Medical Center Ruprechts-Karls University Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Meinhard Kieser
- Institute of Medical Biometry, University Medical Center Ruprechts-Karls University Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Carolin Herrmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, Berlin, 10117, Germany
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Wang R, Mehta C. Power Considerations in Designing and Interpreting Adaptive Clinical Trials. NEJM EVIDENCE 2024; 3:EVIDe2300309. [PMID: 38320521 DOI: 10.1056/evide2300309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Adaptive clinical trials allow researchers to make preplanned modifications based on accumulating data from an ongoing trial while preserving the trial's integrity and validity. These modifications may include early termination in cases of successes or lack of efficacy, refining the sample size, altering treatments or doses, or focusing recruitment efforts on individuals most likely to benefit. In this issue of NEJM Evidence, Geisler et al.1 report results from the Apixaban for Treatment of Embolic Stroke of Undetermined Source (ATTICUS) trial, a multicenter randomized trial of apixaban compared with aspirin in patients with cardioembolism risk factors.
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Affiliation(s)
- Rui Wang
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston
| | - Cyrus Mehta
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston
- Cytel Corporation, Cambridge, MA
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Harding R, Moya E, Ataíde R, Truwah Z, Mzembe G, Mhango G, Demir AV, Stones W, Randall L, Seal M, Johnson K, Bode S, Mwangi MN, Pasricha SR, Braat S, Phiri KS. Protocol and statistical analysis plan for a randomized controlled trial of the effect of intravenous iron on anemia in Malawian pregnant women in their third trimester (REVAMP - TT). Gates Open Res 2023; 7:117. [PMID: 38343768 PMCID: PMC10858019 DOI: 10.12688/gatesopenres.14710.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2023] [Indexed: 02/15/2024] Open
Abstract
Background Anemia affects 40% of pregnant women globally, leading to maternal mortality, premature birth, low birth weight, and poor baby development. Iron deficiency causes over 40% of anemia cases in Africa. Oral iron supplementation is insufficient for Low-and-Middle-Income-Countries (LMICs) to meet current WHO targets. We hypothesized that a single intravenous dose of Ferric Carboxymaltose (FCM) may be more effective than oral iron treatment for anemia recovery, particularly in these settings where women present late for antenatal care. Methods This is a two-arm parallel open-label individual-randomized controlled trial in third trimester, in malaria Rapid Diagnostic Test-negative pregnant women with moderate or severe anemia - capillary hemoglobin <10 g/dL - who are randomized to receive either parenteral iron - with FCM - or standard-of-care oral iron for the remainder of pregnancy. This is the sister trial to the second-trimester REVAMP trial, funded by the Bill and Melinda Gates Foundation (trial registration ACTRN12618001268235, Gates Grant number INV-010612). In REVAMP-TT, recruitment and treatment are performed within primary health centers. The trial will recruit 590 women across Zomba district, Malawi. The primary outcome is the proportion of anemic women - venous hemoglobin <11 g/dL - at 36 weeks' gestation or delivery (whichever occurs first). Other pre-specified key secondary clinical and safety outcomes include maternal iron-status and hypophosphatemia, neonate birth weight, infant growth and infant iron and hematological parameters. Discussion This study will determine whether FCM, delivered within primary health centers, is effective, safe and feasible for treating moderate to severe anemia in third-trimester pregnant Malawian women. This intervention could have long-term benefits for maternal and child health, resulting in improved survival and child development.
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Affiliation(s)
- Rebecca Harding
- Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, 3052, Australia
| | - Ernest Moya
- Training and Research Unit of Excellence (TRUE), 1 Kufa Road, P.O. Box 30538, Chichiri, Blantyre, BT3, Malawi
- Department of Public Health, Kamuzu University of Health Sciences, School of Global and Public Health, Private Bag 360, Chichiri, Blantyre, BT3, Malawi
| | - Ricardo Ataíde
- Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, 3052, Australia
- Infectious Diseases, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, 3000, Australia
| | - Zinenani Truwah
- Training and Research Unit of Excellence (TRUE), 1 Kufa Road, P.O. Box 30538, Chichiri, Blantyre, BT3, Malawi
| | - Glory Mzembe
- Training and Research Unit of Excellence (TRUE), 1 Kufa Road, P.O. Box 30538, Chichiri, Blantyre, BT3, Malawi
- Department of Public Health, Kamuzu University of Health Sciences, School of Global and Public Health, Private Bag 360, Chichiri, Blantyre, BT3, Malawi
| | - Gomezgani Mhango
- Training and Research Unit of Excellence (TRUE), 1 Kufa Road, P.O. Box 30538, Chichiri, Blantyre, BT3, Malawi
| | - Ayşe V. Demir
- Meander Medical Center, Laboratory for Clinical Chemistry, Maatweg 3, Amersfoort, 3813 TZ, The Netherlands
| | - William Stones
- Centre for Reproductive Health, Kamuzu University of Health Sciences, Private Bag 360, Chichiri, Blantyre, BT3, Malawi
| | - Louise Randall
- Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, 3052, Australia
| | - Marc Seal
- Developmental Imaging, Murdoch Children's Research Institute, Parkville, Victoria, 3052, Australia
| | - Katherine Johnson
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Stefan Bode
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Martin N. Mwangi
- Training and Research Unit of Excellence (TRUE), 1 Kufa Road, P.O. Box 30538, Chichiri, Blantyre, BT3, Malawi
- The Micronutrient Forum, Washington DC, 20005-5905, USA
| | - Sant-Rayn Pasricha
- Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, 3052, Australia
- Diagnostic Haematology and Clinical Haematology, The Peter MacCallum Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, 3052, Australia
| | - Sabine Braat
- Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, 3052, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health,, The University of Melbourne, Melbourne, Victoria, 3000, Australia
| | - Kamija S. Phiri
- Training and Research Unit of Excellence (TRUE), 1 Kufa Road, P.O. Box 30538, Chichiri, Blantyre, BT3, Malawi
- Department of Public Health, Kamuzu University of Health Sciences, School of Global and Public Health, Private Bag 360, Chichiri, Blantyre, BT3, Malawi
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Mano H, Tanaka Y, Orihara S, Moriya J. Application of sample size re-estimation in clinical trials: A systematic review. Contemp Clin Trials Commun 2023; 36:101210. [PMID: 37842317 PMCID: PMC10568275 DOI: 10.1016/j.conctc.2023.101210] [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: 02/16/2023] [Revised: 08/03/2023] [Accepted: 09/15/2023] [Indexed: 10/17/2023] Open
Abstract
Background Sample size re-estimation (SSR) is a method used to recalculate sample size during clinical trial conduct to address a lack of adequate information and can have a significant impact on study size, duration, resources, and cost. Few studies to date have summarized the conditions and circumstances under which SSR is applied. We therefore performed a systematic review of the literature related to SSR to better understand its application in clinical trial settings. Methods PubMed was used as the primary search source, supplemented with information from ClinicalTrials.gov where necessary details were lacking from PubMed. A systematic review was performed according to a pre-specified search strategy to identify clinical trials using SSR. Features of SSR, such as study phase and study start year, were summarized. Results In total, 253 publications met the pre-specified search criteria and 27 clinical trials were subsequently determined as relevant in SSR usage. Among trials where the study phase was provided, 2 (7.4%) trials were Phase I, 5 (18.5%) trials were Phase II, 11 (40.7%) trials were Phase III, and 2 (7.4%) trials were Phase IV. Conclusion Our results showed that SSR is also used in Phase I and II, which involve earlier decision making. We expect that SSR will continue to be used in early-phase trials where sufficient prior information may not be available. Furthermore, no major trends were observed in relation to therapy area or type of SSR, meaning that SSR may become a feasible and widely applied method in the future.
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Affiliation(s)
- Hirotaka Mano
- Biostatistics Group, Biometrics Department, Development Unit, R&D Division, Kyowa Kirin Co., Ltd., Otemachi Financial City Grand Cube, 1-9-2 Otemachi, Chiyoda-ku, Tokyo, Japan
| | - Yuji Tanaka
- Biostatistics Group, Biometrics Department, Development Unit, R&D Division, Kyowa Kirin Co., Ltd., Otemachi Financial City Grand Cube, 1-9-2 Otemachi, Chiyoda-ku, Tokyo, Japan
| | - Shunichiro Orihara
- Biostatistics Group, Biometrics Department, Development Unit, R&D Division, Kyowa Kirin Co., Ltd., Otemachi Financial City Grand Cube, 1-9-2 Otemachi, Chiyoda-ku, Tokyo, Japan
| | - Junji Moriya
- Biostatistics Group, Biometrics Department, Development Unit, R&D Division, Kyowa Kirin Co., Ltd., Otemachi Financial City Grand Cube, 1-9-2 Otemachi, Chiyoda-ku, Tokyo, Japan
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Bladin CF, Wah Cheung N, Dewey HM, Churilov L, Middleton S, Thijs V, Ekinci E, Levi CR, Lindley R, Donnan GA, Parsons MW, Meretoja A, Tiainen M, Choi PM, Cordato D, Brown H, Campbell BC, Davis SM, Cloud G, Grimley R, Lee-Archer M, Ghia D, Sanders L, Markus R, Muller C, Salvaris P, Wu T, Fink J. Management of Poststroke Hyperglycemia: Results of the TEXAIS Randomized Clinical Trial. Stroke 2023; 54:2962-2971. [PMID: 38011235 PMCID: PMC10664794 DOI: 10.1161/strokeaha.123.044568] [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: 11/29/2023]
Abstract
BACKGROUND Hyperglycemia in acute ischemic stroke reduces the efficacy of stroke thrombolysis and thrombectomy, with worse clinical outcomes. Insulin-based therapies are difficult to implement and may cause hypoglycemia. We investigated whether exenatide, a GLP-1 (glucagon-like peptide-1) receptor agonist, would improve stroke outcomes, and control poststroke hyperglycemia with minimal hypoglycemia. METHODS The TEXAIS trial (Treatment With Exenatide in Acute Ischemic Stroke) was an international, multicenter, phase 2 prospective randomized clinical trial (PROBE [Prospective Randomized Open Blinded End-Point] design) enrolling adult patients with acute ischemic stroke ≤9 hours of stroke onset to receive exenatide (5 µg BID subcutaneous injection) or standard care for 5 days, or until hospital discharge (whichever sooner). The primary outcome (intention to treat) was the proportion of patients with ≥8-point improvement in National Institutes of Health Stroke Scale score (or National Institutes of Health Stroke Scale scores 0-1) at 7 days poststroke. Safety outcomes included death, episodes of hyperglycemia, hypoglycemia, and adverse event. RESULTS From April 2016 to June 2021, 350 patients were randomized (exenatide, n=177, standard care, n=173). Median age, 71 years (interquartile range, 62-79), median National Institutes of Health Stroke Scale score, 4 (interquartile range, 2-8). Planned recruitment (n=528) was stopped early due to COVID-19 disruptions and funding constraints. The primary outcome was achieved in 97 of 171 (56.7%) in the standard care group versus 104 of 170 (61.2%) in the exenatide group (adjusted odds ratio, 1.22 [95% CI, 0.79-1.88]; P=0.38). No differences in secondary outcomes were observed. The per-patient mean daily frequency of hyperglycemia was significantly less in the exenatide group across all quartiles. No episodes of hypoglycemia were recorded over the treatment period. Adverse events of mild nausea and vomiting occurred in 6 (3.5%) exenatide patients versus 0 (0%) standard care with no withdrawal. CONCLUSIONS Treatment with exenatide did not reduce neurological impairment at 7 days in patients with acute ischemic stroke. Exenatide did significantly reduce the frequency of hyperglycemic events, without hypoglycemia, and was safe to use. Larger acute stroke trials using GLP-1 agonists such as exenatide should be considered. REGISTRATION URL: www.australianclinicaltrials.gov.au; Unique identifier: ACTRN12617000409370. URL: https://www.clinicaltrials.gov; Unique identifier: NCT03287076.
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Affiliation(s)
- Christopher F. Bladin
- Department of Neurosciences, Eastern Health and Eastern Health Clinical School, Department of Neurology, Monash University, Clayton, Victoria, Australia (C.F.B., H.M.D., P.M.C.C.)
- The Florey Institute of Neuroscience and Mental Health (C.F.B., V.T., B.C.V.C.), University of Melbourne, Parkville, Australia
| | - Ngai Wah Cheung
- Faculty of Medicine and Health, Westmead Hospital (N.W.C.), University of Sydney, New South Wales, Australia
| | - Helen M. Dewey
- Department of Neurosciences, Eastern Health and Eastern Health Clinical School, Department of Neurology, Monash University, Clayton, Victoria, Australia (C.F.B., H.M.D., P.M.C.C.)
| | - Leonid Churilov
- Department of Medicine (L.C.), University of Melbourne, Parkville, Australia
- Australian Centre for Accelerating Diabetes Innovations (L.C., E.E.), University of Melbourne, Parkville, Australia
- Austin Health, Australia (L.C., E.E.)
| | - Sandy Middleton
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne and School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia (S.M.)
| | - Vincent Thijs
- The Florey Institute of Neuroscience and Mental Health (C.F.B., V.T., B.C.V.C.), University of Melbourne, Parkville, Australia
| | - Elif Ekinci
- Australian Centre for Accelerating Diabetes Innovations (L.C., E.E.), University of Melbourne, Parkville, Australia
- Austin Health, Australia (L.C., E.E.)
| | - Christopher R. Levi
- Department of Neurology, Priority Research Centre for Brain and Mental Health Research, John Hunter Hospital, University of Newcastle, Newcastle, Australia (C.R.L.)
| | - Richard Lindley
- Faculty of Medicine and Health, Sydney Medical School (R.L.), University of Sydney, New South Wales, Australia
- George Institute for Global Health, Sydney, Australia (R.L.)
| | - Geoffrey A. Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital (G.A.D., B.C.V.C., S.M.D), University of Melbourne, Parkville, Australia
| | - Mark W. Parsons
- Department of Neurology, Ingham Institute for Applied Medical Research, Liverpool Hospital, University of New South Wales, Sydney, Australia (M.W.P., D.C.)
| | - Atte Meretoja
- Department of Neurology, Helsinki University Hospital, Finland (A.M., M.T.)
| | - Marjaana Tiainen
- Department of Neurology, Helsinki University Hospital, Finland (A.M., M.T.)
| | - Philip M.C. Choi
- Department of Neurosciences, Eastern Health and Eastern Health Clinical School, Department of Neurology, Monash University, Clayton, Victoria, Australia (C.F.B., H.M.D., P.M.C.C.)
| | - Dennis Cordato
- Department of Neurology, Ingham Institute for Applied Medical Research, Liverpool Hospital, University of New South Wales, Sydney, Australia (M.W.P., D.C.)
| | - Helen Brown
- Princess Alexandra Hospital, Brisbane, Queensland, Australia (H.B.)
| | - Bruce C.V. Campbell
- The Florey Institute of Neuroscience and Mental Health (C.F.B., V.T., B.C.V.C.), University of Melbourne, Parkville, Australia
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital (G.A.D., B.C.V.C., S.M.D), University of Melbourne, Parkville, Australia
| | - Stephen M. Davis
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital (G.A.D., B.C.V.C., S.M.D), University of Melbourne, Parkville, Australia
| | - Geoffrey Cloud
- Department of Neurosciences, Eastern Health and Eastern Health Clinical School, Department of Neurology, Monash University, Clayton, Victoria, Australia (C.F.B., H.M.D., P.M.C.C.)
- Department of Medicine (L.C.), University of Melbourne, Parkville, Australia
- The Florey Institute of Neuroscience and Mental Health (C.F.B., V.T., B.C.V.C.), University of Melbourne, Parkville, Australia
- Australian Centre for Accelerating Diabetes Innovations (L.C., E.E.), University of Melbourne, Parkville, Australia
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital (G.A.D., B.C.V.C., S.M.D), University of Melbourne, Parkville, Australia
- Faculty of Medicine and Health, Westmead Hospital (N.W.C.), University of Sydney, New South Wales, Australia
- Faculty of Medicine and Health, Sydney Medical School (R.L.), University of Sydney, New South Wales, Australia
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne and School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia (S.M.)
- Austin Health, Australia (L.C., E.E.)
- Department of Neurology, Priority Research Centre for Brain and Mental Health Research, John Hunter Hospital, University of Newcastle, Newcastle, Australia (C.R.L.)
- George Institute for Global Health, Sydney, Australia (R.L.)
- Department of Neurology, Ingham Institute for Applied Medical Research, Liverpool Hospital, University of New South Wales, Sydney, Australia (M.W.P., D.C.)
- Department of Neurology, Helsinki University Hospital, Finland (A.M., M.T.)
- Princess Alexandra Hospital, Brisbane, Queensland, Australia (H.B.)
- Department of Neurology, Fiona Stanley Hospital, Perth, Western Australia, Australia (D.G.)
- Department of Medicine, St John of God Midland Public and Private Hospitals, Perth, Western Australia (P.S.)
- Department of Neurology, Launceston General Hospital, Tasmania, Australia (M.L.-A.)
- Department of Neurology, Christchurch Hospital, New Zealand (T.W., J.F.)
- Department of Neurosciences, St Vincent’s Hospital, Melbourne, Australia (L.S.)
- Department of Neurology, St Vincent’s Hospital, Sydney, Australia (R.M.)
- School of Medicine and Dentistry, Griffith University, Birtinya, Queensland, Australia (R.G.)
- Department of Neurology, Royal Brisbane and Women’s Hospital, University of Queensland, Brisbane, Australia (C.M.)
| | - Rohan Grimley
- School of Medicine and Dentistry, Griffith University, Birtinya, Queensland, Australia (R.G.)
| | - Matthew Lee-Archer
- Department of Neurology, Launceston General Hospital, Tasmania, Australia (M.L.-A.)
| | - Darshan Ghia
- Department of Neurology, Fiona Stanley Hospital, Perth, Western Australia, Australia (D.G.)
| | - Lauren Sanders
- Department of Neurosciences, St Vincent’s Hospital, Melbourne, Australia (L.S.)
| | - Romesh Markus
- Department of Neurology, St Vincent’s Hospital, Sydney, Australia (R.M.)
| | - Claire Muller
- Department of Neurology, Royal Brisbane and Women’s Hospital, University of Queensland, Brisbane, Australia (C.M.)
| | - Patrick Salvaris
- Department of Medicine, St John of God Midland Public and Private Hospitals, Perth, Western Australia (P.S.)
| | - Teddy Wu
- Department of Neurology, Christchurch Hospital, New Zealand (T.W., J.F.)
| | - John Fink
- Department of Neurology, Christchurch Hospital, New Zealand (T.W., J.F.)
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Scholten AWJ, Zhan Z, Niemarkt HJ, Vervoorn M, van Leuteren RW, de Jongh FH, van Kaam AH, Heuvel ERVD, Hutten GJ. Cardiorespiratory monitoring with a wireless and nonadhesive belt measuring diaphragm activity in preterm and term infants: A multicenter non-inferiority study. Pediatr Pulmonol 2023; 58:3574-3581. [PMID: 37795597 DOI: 10.1002/ppul.26695] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/18/2023] [Accepted: 09/05/2023] [Indexed: 10/06/2023]
Abstract
INTRODUCTION We determined if the heart rate (HR) monitoring performance of a wireless and nonadhesive belt is non-inferior compared to standard electrocardiography (ECG). Secondary objective was to explore the belt's respiratory rate (RR) monitoring performance compared to chest impedance (CI). METHOD In this multicenter non-inferiority trial, preterm and term infants were simultaneously monitored with the belt and conventional ECG/CI for 24 h. HR monitoring performance was estimated with the HR difference and ability to detect cardiac events compared to the ECG, and the incidence of HR-data loss per second. These estimations were statistically compared to prespecified margins to confirm equivalence/non-inferiority. Exploratory RR analyses estimated the RR trend difference and ability to detect apnea/tachypnea compared to CI, and the incidence of RR-data loss per second. RESULTS Thirty-nine infants were included. HR monitoring with the belt was non-inferior to the ECG with a mean HR difference of 0.03 beats per minute (bpm) (standard error [SE] = 0.02) (95% limits of agreement [LoA]: [-5 to 5] bpm) (p < 0.001). Second, sensitivity and positive predictive value (PPV) for cardiac event detection were 94.0% (SE = 0.5%) and 92.6% (SE = 0.6%), respectively (p ≤ 0.001). Third, the incidence of HR-data loss was 2.1% (SE = 0.4%) per second (p < 0.05). The exploratory analyses of RR showed moderate trend agreement with a mean RR-difference of 3.7 breaths/min (SE = 0.8) (LoA: [-12 to 19] breaths/min), but low sensitivities and PPV's for apnea/tachypnea detection. The incidence of RR-data loss was 2.2% (SE = 0.4%) per second. CONCLUSION The nonadhesive, wireless belt showed non-inferior HR monitoring and a moderate agreement in RR trend compared to ECG/CI. Future research on apnea/tachypnea detection is required.
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Affiliation(s)
- Anouk W J Scholten
- Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development Research Institute, Amsterdam, The Netherlands
| | - Zhuozhao Zhan
- Department of Mathemaatics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Hendrik J Niemarkt
- Department of Neonatology, Màxima Medical Center, Veldhoven, The Netherlands
| | - Marieke Vervoorn
- Department of Neonatology, Màxima Medical Center, Veldhoven, The Netherlands
| | - Ruud W van Leuteren
- Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development Research Institute, Amsterdam, The Netherlands
| | - Frans H de Jongh
- Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Anton H van Kaam
- Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development Research Institute, Amsterdam, The Netherlands
| | - Edwin R van den Heuvel
- Department of Mathemaatics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Gerard J Hutten
- Department of Neonatology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development Research Institute, Amsterdam, The Netherlands
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Li X, Yung G, Lin J, Zhu J. Estimation of conditional power in the presence of auxiliary data. Stat Med 2023; 42:4319-4332. [PMID: 37493067 DOI: 10.1002/sim.9863] [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: 11/15/2021] [Revised: 06/13/2023] [Accepted: 07/16/2023] [Indexed: 07/27/2023]
Abstract
Conditional power (CP) is a commonly used tool to inform interim decision-making in clinical trials, but the conventional approach using only primary endpoint data to calculate CP may not perform well when the primary endpoint requires a long follow-up period, or the treatment effect size changes during the trial. Several methods have been proposed to use additional short term auxiliary data observed at the interim analysis to improve the CP estimation in these situations, however, they may rely on strong assumptions, have limited applications, or use ad hoc choices of information fraction. In this paper we propose a general framework where the true CP formula is first derived in the presence of auxiliary data, and CP estimation is obtained by substituting the unknown parameters with consistent estimators. We conducted extensive simulations to examine the performance of both proposed and conventional approaches using the true CP as the benchmark. As the proposed approach is based on the true underlying CP, the simulations confirmed its superiority over the conventional approach in terms of efficiency and accuracy, especially if observed auxiliary data reflect the change of treatment effect size. The simulations also indicate that the magnitude of improvement in CP estimation is associated with the correlation between auxiliary and primary endpoints and/or the magnitude of the effect size change during the trial.
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Affiliation(s)
- Xin Li
- Incyte Corporation, Wilmington, Delaware, USA
| | - Godwin Yung
- Genentech/Roche, South San Francisco, California, USA
| | - Jianchang Lin
- Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA
| | - Jian Zhu
- Servier Pharmaceuticals, Boston, Massachusetts, USA
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Shan G. Promising zone two-stage design for a single-arm study with binary outcome. Stat Methods Med Res 2023; 32:1159-1168. [PMID: 36998163 PMCID: PMC10641844 DOI: 10.1177/09622802231164737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Abstract
Adaptive designs are increasingly used in clinical trials to assess the effectiveness of new drugs. For a single-arm study with a binary outcome, several adaptive designs were developed by using numerical search algorithms and the conditional power approach. The design based on numerical search algorithms is able to identify the global optimal design, but the computational intensity limits the usage of these designs. The conditional power approach searches for the optimal design without expensive computing time. In addition, promising zone strategy was proposed to move on drug development to the follow-up stages when the interim results are promising. We propose to develop two adaptive designs: One based on the conditional power approach, and the other based on the promising zone strategy. These two designs preserve types I and II error rates. It is preferable to satisfy the monotonic property for adaptive designs: The second stage sample size decreases as the first stage responses go up. We theoretically prove this important property for the two proposed designs. The proposed designs can be easily applied to real trials with limited computing resources.
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Affiliation(s)
- Guogen Shan
- Department of Biostatistics, University of Florida, Gainesville FL, 32610
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Holliday EG, Weaver N, Barker D, Oldmeadow C. Adaptations to clinical trials in health research: a guide for clinical researchers. Med J Aust 2023. [PMID: 37128705 DOI: 10.5694/mja2.51936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Affiliation(s)
| | | | | | - Christopher Oldmeadow
- University of Newcastle, Newcastle, NSW
- Hunter Medical Research Institute, Newcastle, NSW
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Desmarets M, Hoffmann S, Vauchy C, Rijnders BJA, Toussirot E, Durrbach A, Körper S, Schrezenmeier E, van der Schoot CE, Harvala H, Brunotte G, Appl T, Seifried E, Tiberghien P, Bradshaw D, Roberts DJ, Estcourt LJ, Schrezenmeier H. Early, very high-titre convalescent plasma therapy in clinically vulnerable individuals with mild COVID-19 (COVIC-19): protocol for a randomised, open-label trial. BMJ Open 2023; 13:e071277. [PMID: 37105693 PMCID: PMC10151238 DOI: 10.1136/bmjopen-2022-071277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/29/2023] Open
Abstract
INTRODUCTION COVID-19 convalescent plasma (CCP) is a possible treatment option for COVID-19. A comprehensive number of clinical trials on CCP efficacy have already been conducted. However, many aspects of CCP treatment still require investigations: in particular (1) Optimisation of the CCP product, (2) Identification of the patient population in need and most likely to benefit from this treatment approach, (3) Timing of administration and (4) CCP efficacy across viral variants in vivo. We aimed to test whether high-titre CCP, administered early, is efficacious in preventing hospitalisation or death in high-risk patients. METHODS AND ANALYSIS COVIC-19 is a multicentre, randomised, open-label, adaptive superiority phase III trial comparing CCP with very high neutralising antibody titre administered within 7 days of symptom onset plus standard of care versus standard of care alone. We will enrol patients in two cohorts of vulnerable patients [(1) elderly 70+ years, or younger with comorbidities; (2) immunocompromised patients]. Up to 1020 participants will be enrolled in each cohort (at least 340 with a sample size re-estimation after reaching 102 patients). The primary endpoint is the proportion of participants with (1) Hospitalisation due to progressive COVID-19, or (2) Who died by day 28 after randomisation. Principal analysis will follow the intention-to-treat principle. ETHICS AND DISSEMINATION Ethical approval has been granted by the University of Ulm ethics committee (#41/22) (lead ethics committee for Germany), Comité de protection des personnes Sud-Est I (CPP Sud-Est I) (#2022-A01307-36) (ethics committee for France), and ErasmusMC ethics committee (#MEC-2022-0365) (ethics committee for the Netherlands). Signed informed consent will be obtained from all included patients. The findings will be published in peer-reviewed journals and presented at relevant stakeholder conferences and meetings. TRIAL REGISTRATION Clinical Trials.gov (NCT05271929), EudraCT (2021-006621-22).
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Affiliation(s)
- Maxime Desmarets
- Centre d'Investigation Clinique Inserm CIC1431, CHU Besançon, Besançon, Bourgogne Franche-Comté, France
- UMR 1098 Right, Inserm, Établissement Français du Sang, Université de Franche-Comté, Besançon, Bourgogne Franche-Comté, France
| | - Simone Hoffmann
- Blood Transfusion Service Baden-Württemberg-Hessen, German Red Cross, Ulm, Baden-Württemberg, Germany
| | - Charline Vauchy
- Centre d'Investigation Clinique Inserm CIC1431, CHU Besançon, Besançon, Bourgogne Franche-Comté, France
- UMR 1098 Right, Inserm, Établissement Français du Sang, Université de Franche-Comté, Besançon, Bourgogne Franche-Comté, France
| | - Bart J A Rijnders
- University Medical Center, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands
| | - Eric Toussirot
- Centre d'Investigation Clinique Inserm CIC1431, CHU Besançon, Besançon, Bourgogne Franche-Comté, France
- UMR 1098 Right, Inserm, Établissement Français du Sang, Université de Franche-Comté, Besançon, Bourgogne Franche-Comté, France
| | - Antoine Durrbach
- Department of Nephrology, AP-HP Hôpital Henri Mondor, Créteil, Île-de-France, France
| | - Sixten Körper
- Blood Transfusion Service Baden-Württemberg-Hessen, German Red Cross, Ulm, Baden-Württemberg, Germany
- Institute for Clinical Transfusion Medicine and Immunogenetics Ulm, Ulm, Baden-Württemberg, Germany
| | - Eva Schrezenmeier
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - C Ellen van der Schoot
- Department of Experimental Immunohematology, Sanquin Research, Amsterdam, Noord-Holland, Netherlands
| | - Heli Harvala
- Microbiology Services, NHS Blood and Transplant, Colindale, London, UK
| | - Gaëlle Brunotte
- Centre d'investigation clinique Inserm CIC1431, CHU Besançon, Besançon, France
| | - Thomas Appl
- Blood Transfusion Service Baden-Württemberg-Hessen, German Red Cross, Ulm, Baden-Württemberg, Germany
| | - Erhard Seifried
- Blood Transfusion Service Baden-Württemberg-Hessen, German Red Cross, Ulm, Baden-Württemberg, Germany
| | - Pierre Tiberghien
- UMR 1098 Right, Inserm, Établissement Français du Sang, Université de Franche-Comté, Besançon, Bourgogne Franche-Comté, France
- Etablissement Francais du Sang, La Plaine Saint-Denis, Île-de-France, France
| | - Daniel Bradshaw
- Virus Reference Department, UK Health Security Agency, London, UK
| | - David J Roberts
- NHS Blood and Transplant, Oxford, Oxfordshire, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK
| | - Lise J Estcourt
- NHS Blood and Transplant, Oxford, Oxfordshire, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK
| | - Hubert Schrezenmeier
- Blood Transfusion Service Baden-Württemberg-Hessen, German Red Cross, Ulm, Baden-Württemberg, Germany
- Institute for Clinical Transfusion Medicine and Immunogenetics Ulm, Ulm, Baden-Württemberg, Germany
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Edwards JM, Walters SJ, Julious SA. A retrospective analysis of conditional power assumptions in clinical trials with continuous or binary endpoints. Trials 2023; 24:215. [PMID: 36949524 PMCID: PMC10035140 DOI: 10.1186/s13063-023-07202-6] [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: 11/10/2022] [Accepted: 02/25/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND Adaptive clinical trials may use conditional power (CP) to make decisions at interim analyses, requiring assumptions about the treatment effect for remaining patients. It is critical that these assumptions are understood by those using CP in decision-making, as well as timings of these decisions. METHODS Data for 21 outcomes from 14 published clinical trials were made available for re-analysis. CP curves for accruing outcome information were calculated using and compared with a pre-specified objective criteria for original and transformed versions of the trial data using four future treatment effect assumptions: (i) observed current trend, (ii) hypothesised effect, (iii) 80% optimistic confidence limit, (iv) 90% optimistic confidence limit. RESULTS The hypothesised effect assumption met objective criteria when the true effect was close to that planned, but not when smaller than planned. The opposite was seen using the current trend assumption. Optimistic confidence limit assumptions appeared to offer a compromise between the two, performing well against objective criteria when the end observed effect was as planned or smaller. CONCLUSION The current trend assumption could be the preferable assumption when there is a wish to stop early for futility. Interim analyses could be undertaken as early as 30% of patients have data available. Optimistic confidence limit assumptions should be considered when using CP to make trial decisions, although later interim timings should be considered where logistically feasible.
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Affiliation(s)
- Julia M Edwards
- School of Health and Related Research, The University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
- Intensive Care National Audit and Research Centre (ICNARC), 24 High Holborn, London, WC1V 6AZ, UK.
| | - Stephen J Walters
- School of Health and Related Research, The University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK
| | - Steven A Julious
- School of Health and Related Research, The University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK
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Liu Q, Hu G, Ye B, Wang S, Wu Y. Sample size re-estimation in Phase 2 dose-finding: Conditional power versus Bayesian predictive power. Pharm Stat 2023; 22:349-364. [PMID: 36418025 DOI: 10.1002/pst.2275] [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: 05/27/2019] [Revised: 08/31/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022]
Abstract
Unblinded sample size re-estimation (SSR) is often planned in a clinical trial when there is large uncertainty about the true treatment effect. For Proof-of Concept (PoC) in a Phase II dose finding study, contrast test can be adopted to leverage information from all treatment groups. In this article, we propose two-stage SSR designs using frequentist conditional power (CP) and Bayesian predictive power (PP) for both single and multiple contrast tests. The Bayesian SSR can be implemented under a wide range of prior settings to incorporate different prior knowledge. Taking the adaptivity into account, all type I errors of final analysis in this paper are rigorously protected. Simulation studies are carried out to demonstrate the advantages of unblinded SSR in multi-arm trials.
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Affiliation(s)
- Qingyang Liu
- Department of Statistics, University of Connecticut, Storrs, Connecticut, USA
| | - Guanyu Hu
- Department of Statistics, University of Missouri - Columbia, Columbia, Missouri, USA
| | - Binqi Ye
- Boehringer Ingelheim (China), Shanghai, China
| | - Susan Wang
- Boehringer-Ingelheim Pharmaceutical Inc., Ridgefield, Connecticut, USA
| | - Yaoshi Wu
- Department of Statistics, University of Connecticut, Storrs, Connecticut, USA
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Shih WJ, Zhao Y, Xie T. Modified Simon’s Two-Stage Design for Phase IIA Clinical Trials in Oncology – Dynamic Monitoring and More Flexibility. Stat Biopharm Res 2023. [DOI: 10.1080/19466315.2023.2177332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Affiliation(s)
- Weichung Joe Shih
- Department of Biostatistics and Epidemiology and Cancer Institute of New Jersey, Rutgers Biomedical Health Sciences, New Brunswick, NJ 08901
| | - Yunqi Zhao
- Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA 02139
- CIMS Global, 285 Davidson Ave, Suite 504, Somerset, NJ 08873
| | - Tai Xie
- CIMS Global, 285 Davidson Ave, Suite 504, Somerset, NJ 08873
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Placzek M, Friede T. Blinded sample size recalculation in adaptive enrichment designs. Biom J 2023; 65:e2000345. [PMID: 35983952 DOI: 10.1002/bimj.202000345] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 09/24/2021] [Accepted: 11/07/2021] [Indexed: 12/17/2022]
Abstract
In the precision medicine era, (prespecified) subgroup analyses are an integral part of clinical trials. Incorporating multiple populations and hypotheses in the design and analysis plan, adaptive designs promise flexibility and efficiency in such trials. Adaptations include (unblinded) interim analyses (IAs) or blinded sample size reviews. An IA offers the possibility to select promising subgroups and reallocate sample size in further stages. Trials with these features are known as adaptive enrichment designs. Such complex designs comprise many nuisance parameters, such as prevalences of the subgroups and variances of the outcomes in the subgroups. Additionally, a number of design options including the timepoint of the sample size review and timepoint of the IA have to be selected. Here, for normally distributed endpoints, we propose a strategy combining blinded sample size recalculation and adaptive enrichment at an IA, that is, at an early timepoint nuisance parameters are reestimated and the sample size is adjusted while subgroup selection and enrichment is performed later. We discuss implications of different scenarios concerning the variances as well as the timepoints of blinded review and IA and investigate the design characteristics in simulations. The proposed method maintains the desired power if planning assumptions were inaccurate and reduces the sample size and variability of the final sample size when an enrichment is performed. Having two separate timepoints for blinded sample size review and IA improves the timing of the latter and increases the probability to correctly enrich a subgroup.
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Affiliation(s)
- Marius Placzek
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Tim Friede
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.,DZHK (German Center for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
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Bernhardt J, Churilov L, Dewey H, Donnan G, Ellery F, English C, Gao L, Hayward K, Horgan F, Indredavik B, Johns H, Langhorne P, Lindley R, Martins S, Ali Katijjahbe M, Middleton S, Moodie M, Pandian J, Parsons B, Robinson T, Srikanth V, Thijs V. A phase III, multi-arm multi-stage covariate-adjusted response-adaptive randomized trial to determine optimal early mobility training after stroke (AVERT DOSE). Int J Stroke 2023:17474930221142207. [PMID: 36398582 DOI: 10.1177/17474930221142207] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
RATIONALE The evidence base for acute post-stroke rehabilitation is inadequate and global guideline recommendations vary. AIM To define optimal early mobility intervention regimens for ischemic stroke patients of mild and moderate severity. HYPOTHESES Compared with a prespecified reference arm, the optimal dose regimen(s) will result in more participants experiencing little or no disability (mRS 0-2) at 3 months post-stroke (primary), fewer deaths at 3 months, fewer and less severe complications during the intervention period, faster recovery of unassisted walking, and better quality of life at 3 months (secondary). We also hypothesize that these regimens will be more cost-effective. SAMPLE SIZE ESTIMATES For the primary outcome, recruitment of 1300 mild and 1400 moderate participants will yield 80% power to detect a 10% risk difference. METHODS AND DESIGN Multi-arm multi-stage covariate-adjusted response-adaptive randomized trial of mobility training commenced within 48 h of stroke in mild (NIHSS < 7) and moderate (NIHSS 8-16) stroke patient strata, with analysis of blinded outcomes at 3 (primary) and 6 months. Eligibility criteria are broad, while excluding those with severe premorbid disability (mRS > 2) and hemorrhagic stroke. With four arms per stratum (reference arm retained throughout), only the single treatment arm demonstrating the highest proportion of favorable outcomes at the first stage will proceed to the second stage in each stratum, resulting in a final comparison with the reference arm. Three prognostic covariates of age, geographic region and reperfusion interventions, as well as previously observed mRS 0-2 responses inform the adaptive randomization procedure. Participants randomized receive prespecified mobility training regimens (functional task-specific), provided by physiotherapists/nurses until discharge or 14 days. Interventions replace usual mobility training. Fifty hospitals in seven countries (Australia, Malaysia, United Kingdom, Ireland, India, Brazil, Singapore) are expected to participate. SUMMARY Our novel adaptive trial design will evaluate a wider variety of mobility regimes than a traditional two-arm design. The data-driven adaptions during the trial will enable a more efficient evaluation to determine the optimal early mobility intervention for patients with mild and moderate ischemic stroke.
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Affiliation(s)
- Julie Bernhardt
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | | | | | | | - Fiona Ellery
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | | | - Lan Gao
- Deakin University, Burwood, VIC, Australia
| | | | - Frances Horgan
- Royal College of Surgeons, University of Medicine and Health Sciences, Dublin, Ireland
| | - Bent Indredavik
- Norwegian University of Science and Technology, Trondheim, Norway
| | - Hannah Johns
- University of Melbourne, Heidelberg, VIC, Australia
| | | | - Richard Lindley
- Westmead Applied Research Centre, Australia and The George Institute for Global Health, The University of Sydney, Sydney, NSW, Australia
| | | | | | - Sandy Middleton
- Australian Catholic University, Darlinghurst, NSW, Australia
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Kapur NK, Kim RJ, Moses JW, Stone GW, Udelson JE, Ben-Yehuda O, Redfors B, Issever MO, Josephy N, Polak SJ, O'Neill WW. Primary left ventricular unloading with delayed reperfusion in patients with anterior ST-elevation myocardial infarction: Rationale and design of the STEMI-DTU randomized pivotal trial. Am Heart J 2022; 254:122-132. [PMID: 36058253 DOI: 10.1016/j.ahj.2022.08.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 08/29/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Despite successful primary percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI), myocardial salvage is often suboptimal, resulting in large infarct size and increased rates of heart failure and mortality. Unloading of the left ventricle (LV) before primary PCI may reduce infarct size and improve prognosis. STUDY DESIGN AND OBJECTIVES STEMI-DTU (NCT03947619) is a prospective, randomized, multicenter trial designed to compare mechanical LV unloading with the Impella CP device for 30 minutes prior to primary PCI to primary PCI alone without LV unloading. The trial aims to enroll approximately 668 subjects, with a potential sample size adaptation, with anterior STEMI with a primary end point of infarct size as a percent of LV mass evaluated by cardiac magnetic resonance at 3-5 days after PCI. The key secondary efficacy end point is a hierarchical composite of the 1-year rates of cardiovascular mortality, cardiogenic shock ≥24 hours after PCI, use of a surgical left ventricular assist device or heart transplant, heart failure, intra-cardiac defibrillator or chronic resynchronization therapy placement, and infarct size at 3 to 5 days post-PCI. The key secondary safety end point is Impella CP-related major bleeding or major vascular complications within 30 days. Clinical follow-up is planned for 5 years. CONCLUSIONS STEMI-DTU is a large-scale, prospective, randomized trial evaluating whether mechanical unloading of the LV by the Impella CP prior to primary PCI reduces infarct size and improves prognosis in patients with STEMI compared to primary PCI alone without LV unloading.
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Affiliation(s)
| | | | - Jeffrey W Moses
- Columbia University Irving Medical Center/NewYork-Presbyterian Hospital, NY; Cardiovascular Research Foundation, NY
| | - Gregg W Stone
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY
| | | | | | | | | | - Noam Josephy
- Abiomed, Inc, Danvers, Massachusetts; Massachusetts Institute of Technology, Cambridge, MA
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Klok FA, Piazza G, Sharp ASP, Ní Ainle F, Jaff MR, Chauhan N, Patel B, Barco S, Goldhaber SZ, Kucher N, Lang IM, Schmidtmann I, Sterling KM, Becker D, Martin N, Rosenfield K, Konstantinides SV. Ultrasound-facilitated, catheter-directed thrombolysis vs anticoagulation alone for acute intermediate-high-risk pulmonary embolism: Rationale and design of the HI-PEITHO study. Am Heart J 2022; 251:43-53. [PMID: 35588898 DOI: 10.1016/j.ahj.2022.05.011] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/13/2022] [Accepted: 05/13/2022] [Indexed: 05/21/2023]
Abstract
BACKGROUND Due to the bleeding risk of full-dose systemic thrombolysis and the lack of major trials focusing on the clinical benefits of catheter-directed treatment, heparin antiocoagulation remains the standard of care for patients with intermediate-high-risk pulmonary embolism (PE). METHODS AND RESULTS The Higher-Risk Pulmonary Embolism Thrombolysis (HI-PEITHO) study (ClinicalTrials.gov Identifier: NCT04790370) is a multinational multicenter randomized controlled parallel-group comparison trial. Patients with: (1) confirmed acute PE; (2) evidence of right ventricular (RV) dysfunction on imaging; (3) a positive cardiac troponin test; and (4) clinical criteria indicating an elevated risk of early death or imminent hemodynamic collapse, will be randomized 1:1 to treatment with a standardized protocol of ultrasound-facilitated catheter-directed thrombolysis plus anticoagulation, vs anticoagulation alone. The primary outcome is a composite of PE-related mortality, cardiorespiratory decompensation or collapse, or non-fatal symptomatic and objectively confirmed PE recurrence, within 7 days of randomization. Further assessments cover, apart from bleeding complications, a broad spectrum of functional and patient-reported outcomes including quality of life indicators, functional status and the utilization of health care resources over a 12-month follow-up period. The trial plans to include 406 patients, but the adaptive design permits a sample size increase depending on the results of the predefined interim analysis. As of May 11, 2022, 27 subjects have been enrolled. The trial is funded by Boston Scientific Corporation and through collaborative research agreements with University of Mainz and The PERT Consortium. CONCLUSIONS Regardless of the outcome, HI-PEITHO will establish the first-line treatment in intermediate-high risk PE patients with imminent hemodynamic collapse. The trial is expected to inform international guidelines and set the standard for evaluation of catheter-directed reperfusion options in the future.
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Affiliation(s)
- Frederikus A Klok
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands; Center for Thrombosis and Heamostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Gregory Piazza
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
| | - Andrew S P Sharp
- Department of Cardiology, University Hospital of Wales, Cardiff, United Kingdom
| | - Fionnuala Ní Ainle
- Department of Haematology, Mater Misericordiae University Hospital, Dublin, Ireland
| | | | | | | | - Stefano Barco
- Clinic of Angiology, University Hospital Zurich, Zurich, Switzerland; Center for Thrombosis and Heamostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Samuel Z Goldhaber
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
| | - Nils Kucher
- Clinic of Angiology, University Hospital Zurich, Zurich, Switzerland
| | - Irene M Lang
- Cardiology and Center of Cardiovascular Medicine, Medical University of Vienna, Vienna, Austria
| | - Irene Schmidtmann
- Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Keith M Sterling
- Department of Cardiovascular and Interventional Radiology, Inova Alexandria Hospital, VA
| | - Dorothea Becker
- Center for Thrombosis and Heamostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Nadine Martin
- Center for Thrombosis and Heamostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Kenneth Rosenfield
- Division of Vascular Medicine and Intervention, Massachusetts General Hospital, Boston, MA
| | - Stavros V Konstantinides
- Center for Thrombosis and Heamostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; Department of Cardiology, Democritus University of Thrace, Alexandroupolis, Greece.
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Schoenfeld DA, Ramchandani R, Finkelstein DM. Designing a longitudinal clinical trial based on a composite endpoint: Sample size, monitoring, and adaptation. Stat Med 2022; 41:4745-4755. [PMID: 35818331 DOI: 10.1002/sim.9416] [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: 08/06/2021] [Revised: 02/26/2022] [Accepted: 02/28/2022] [Indexed: 11/06/2022]
Abstract
Longitudinal clinical trials are often designed to compare treatments on the basis of multiple outcomes. For example in the case of cardiac trials, the outcomes of interest include mortality as well as cardiac events and hospitalization. For a COVID-19 trial, the outcomes of interest include mortality, time on ventilator, and time in hospital. Earlier work by these authors proposed a non-parametric test based on a composite of multiple endpoints referred to as the Finkelstein-Schoenfeld (FS) test (Finkelstein and Schoenfeld. Stat Med. 1999;18(11):1341-1354.). More recently, an estimate of the treatment comparison based on multiple endpoints (related to the FS test) was proposed (Pocock et al. Eur Heart J. 2011;33(2):176-182.). This estimate, which summarized the ratio of the number of patients who fared better vs worse on the experimental arm was coined the win ratio. The aim of this article is to provide guidance in the design of a trial that will use the FS test or the win ratio. The issues that will be considered are the sample size, sequential monitoring, and adaptive designs.
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Affiliation(s)
- David A Schoenfeld
- Massachusetts General Hospital Biostatistics Unit, Boston, Massachusetts, USA.,Harvard University, Cambridge, Massachusetts, USA
| | - Ritesh Ramchandani
- Massachusetts General Hospital Biostatistics Unit, Boston, Massachusetts, USA
| | - Dianne M Finkelstein
- Massachusetts General Hospital Biostatistics Unit, Boston, Massachusetts, USA.,Harvard University, Cambridge, Massachusetts, USA
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Mitchell PJ, Yan B, Churilov L, Dowling RJ, Bush SJ, Bivard A, Huo XC, Wang G, Zhang SY, Ton MD, Cordato DJ, Kleinig TJ, Ma H, Chandra RV, Brown H, Campbell BCV, Cheung AK, Steinfort B, Scroop R, Redmond K, Miteff F, Liu Y, Duc DP, Rice H, Parsons MW, Wu TY, Nguyen HT, Donnan GA, Miao ZR, Davis SM. Endovascular thrombectomy versus standard bridging thrombolytic with endovascular thrombectomy within 4·5 h of stroke onset: an open-label, blinded-endpoint, randomised non-inferiority trial. Lancet 2022; 400:116-125. [PMID: 35810757 DOI: 10.1016/s0140-6736(22)00564-5] [Citation(s) in RCA: 115] [Impact Index Per Article: 57.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 12/20/2022]
Abstract
BACKGROUND The benefit of combined treatment with intravenous thrombolysis before endovascular thrombectomy in patients with acute ischaemic stroke caused by large vessel occlusion remains unclear. We hypothesised that the clinical outcomes of patients with stroke with large vessel occlusion treated with direct endovascular thrombectomy within 4·5 h would be non-inferior compared with the outcomes of those treated with standard bridging therapy (intravenous thrombolysis before endovascular thrombectomy). METHODS DIRECT-SAFE was an international, multicentre, prospective, randomised, open-label, blinded-endpoint trial. Adult patients with stroke and large vessel occlusion in the intracranial internal carotid artery, middle cerebral artery (M1 or M2), or basilar artery, confirmed by non-contrast CT and vascular imaging, and who presented within 4·5 h of stroke onset were recruited from 25 acute-care hospitals in Australia, New Zealand, China, and Vietnam. Eligible patients were randomly assigned (1:1) via a web-based, computer-generated randomisation procedure stratified by site of baseline arterial occlusion and by geographic region to direct endovascular thrombectomy or bridging therapy. Patients assigned to bridging therapy received intravenous thrombolytic (alteplase or tenecteplase) as per standard care at each site; endovascular thrombectomy was also per standard of care, using the Trevo device (Stryker Neurovascular, Fremont, CA, USA) as first-line intervention. Personnel assessing outcomes were masked to group allocation; patients and treating physicians were not. The primary efficacy endpoint was functional independence defined as modified Rankin Scale score 0-2 or return to baseline at 90 days, with a non-inferiority margin of -0·1, analysed by intention to treat (including all randomly assigned and consenting patients) and per protocol. The intention-to-treat population was included in the safety analyses. The trial is registered with ClinicalTrials.gov, NCT03494920, and is closed to new participants. FINDINGS Between June 2, 2018, and July 8, 2021, 295 patients were randomly assigned to direct endovascular thrombectomy (n=148) or bridging therapy (n=147). Functional independence occurred in 80 (55%) of 146 patients in the direct thrombectomy group and 89 (61%) of 147 patients in the bridging therapy group (intention-to-treat risk difference -0·051, two-sided 95% CI -0·160 to 0·059; per-protocol risk difference -0·062, two-sided 95% CI -0·173 to 0·049). Safety outcomes were similar between groups, with symptomatic intracerebral haemorrhage occurring in two (1%) of 146 patients in the direct group and one (1%) of 147 patients in the bridging group (adjusted odds ratio 1·70, 95% CI 0·22-13·04) and death in 22 (15%) of 146 patients in the direct group and 24 (16%) of 147 patients in the bridging group (adjusted odds ratio 0·92, 95% CI 0·46-1·84). INTERPRETATION We did not show non-inferiority of direct endovascular thrombectomy compared with bridging therapy. The additional information from our study should inform guidelines to recommend bridging therapy as standard treatment. FUNDING Australian National Health and Medical Research Council and Stryker USA.
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Affiliation(s)
- Peter J Mitchell
- Department of Radiology, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia.
| | - Bernard Yan
- Department of Medicine and Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Leonid Churilov
- Melbourne Medical School, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Richard J Dowling
- Department of Radiology, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Steven J Bush
- Department of Radiology, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Andrew Bivard
- Department of Medicine and Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Xiao Chuan Huo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing, China
| | - Guoqing Wang
- Department of Neurology, Bin Zhou People's Hospital, Shandong Province, China
| | - Shi Yong Zhang
- Department of Interventional Neuroradiology, Beijing Fengtai You'anmen Hospital, Beijing, China
| | - Mai Duy Ton
- Stroke Centre, Bach Mai Hospital, Ha Noi Medical University, Ha Noi, Vietnam
| | - Dennis J Cordato
- Department of Neurology, Liverpool Hospital, University of New South Wales, Liverpool, Sydney, NSW, Australia; South Western Sydney Clinical School, University of New South Wales Medicine, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, Sydney, NSW, Australia
| | - Timothy J Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Henry Ma
- Department of Medicine, School of Clinical Sciences, Monash University, Monash Health Centre, Clayton, VIC, Australia
| | - Ronil V Chandra
- NeuroInterventional Radiology, Department of Imaging, School of Clinical Sciences, Monash University, Monash Health Centre, Clayton, VIC, Australia
| | - Helen Brown
- Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia; Florey Institute of Neuroscience and Mental Health, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Andrew K Cheung
- Department of Neurointerventional Radiology, Liverpool Hospital, University of New South Wales, Liverpool, Sydney, NSW, Australia; South West Sydney Clinical Campuses, University of New South Wales Medicine, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, Sydney, NSW, Australia
| | - Brendan Steinfort
- Department of Neurosurgery, Neurointervention Unit, Interventional Neuroradiology Department, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Rebecca Scroop
- Department of Radiology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Kendal Redmond
- Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | | | - Yan Liu
- Department of Neurology, JingJiang People's Hospital, The Seventh Affiliated Hospital of Yangzhou University, Jiangsu, China
| | - Dang Phuc Duc
- Department of Stroke, Military Hospital 103, Ha Noi, Vietnam
| | - Hal Rice
- Department of Neurointervention, Gold Coast University Hospital, Southport, QLD, Australia
| | - Mark W Parsons
- Department of Neurology, Liverpool Hospital, University of New South Wales, Liverpool, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, Sydney, NSW, Australia
| | - Teddy Y Wu
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - Huy-Thang Nguyen
- Pham Ngoc Thach University of Medicine, The People's Hospital 115, Ho Chi Minh, Vietnam
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Zhong Rong Miao
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing, China
| | - Stephen M Davis
- Department of Medicine and Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
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Randomized evaluation of vessel preparation with orbital atherectomy prior to drug-eluting stent implantation in severely calcified coronary artery lesions: Design and rationale of the ECLIPSE trial. Am Heart J 2022; 249:1-11. [PMID: 35288105 DOI: 10.1016/j.ahj.2022.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Severe coronary artery calcification has been associated with stent underexpansion, procedural complications, and increased rates of early and late adverse clinical events in patients undergoing percutaneous coronary intervention. To date, no lesion preparation strategy has been shown to definitively improve outcomes of percutaneous coronary intervention for calcified coronary artery lesions. STUDY DESIGN AND OBJECTIVES ECLIPSE (NCT03108456) is a prospective, randomized, multicenter trial designed to evaluate two different vessel preparation strategies in severely calcified coronary artery lesions. The routine use of the Diamondback 360 Coronary Orbital Atherectomy System is compared with conventional balloon angioplasty prior to drug-eluting stent implantation. The trial aims to enroll approximately 2000 subjects with a primary clinical endpoint of target vessel failure, defined as the composite of cardiac death, target vessel-related myocardial infarction, or ischemia-driven target vessel revascularization assessed at 1 year. The co-primary endpoint is the acute post-procedural in-stent minimal cross-sectional area as assessed by optical coherence tomography in a 500-subject cohort. Enrollment is anticipated to complete in 2022 with total clinical follow-up planned for 2 years. CONCLUSIONS ECLIPSE is a large-scale, prospective randomized trial powered to demonstrate whether a vessel preparation strategy of routine orbital atherectomy system is superior to conventional balloon angioplasty prior to implantation of drug-eluting stents in severely calcified coronary artery lesions.
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Tang X, Yan LK, Scott JA. Conditional power in vaccine trials with seasonal variations. J Biopharm Stat 2022; 32:427-440. [PMID: 35767382 DOI: 10.1080/10543406.2022.2065504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Conditional power (CP) is widely used in clinical trial monitoring to quantify the evidence for futility stopping or sample size adaptation during the trial. When planning an interim analysis in vaccine trials for seasonal infectious diseases, CPs calculated under the hypothesized or currently estimated effect sizes may not truly reflect future data due to seasonal variations in disease incidence and/or vaccine efficacy (VE). Relying on these estimates alone could lead to erroneous decisions. Therefore, we carried out simulation studies to investigate the use of seven different choices for the drift parameter in computing CP or predictive power (PP) in end-of-season interim analysis. Our simulations showed that, when used to inform futility stopping, CP under the hypothesized effect and a weighted PP under a normal prior distribution appear to outperform others in terms of the overall type II error rate. All CPs and PPs considered in this study resulted in comparable powers and expected sample sizes when used to inform sample size adaptation. The performance of either CP or PP largely depends on the extent to which the chosen drift parameter or the prior distribution of the drift parameter matches the remainder of the trial. Weighted CP/PP tends to be less sensitive to settings where observed data and emerging data in future seasons differ substantially as they incorporate both current estimate and future variations. Therefore, weighted strategies deserve further exploration and perhaps increased usage in guiding trial operations because they are more robust to inaccuracies in prediction. In summary, for vaccine trials with seasonal variations, a decision on trial operations should be guided by a careful consideration of plausible CPs and PPs calculated under reasonable assumptions leveraging the data, prior hypotheses, and new evidence on clinical relevance.
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Affiliation(s)
- Xinyu Tang
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research (Cber), Us Food and Drug Administration (Fda), Silver Spring, Maryland, USA
| | - Lihan K Yan
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research (Cber), Us Food and Drug Administration (Fda), Silver Spring, Maryland, USA
| | - John A Scott
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research (Cber), Us Food and Drug Administration (Fda), Silver Spring, Maryland, USA
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