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Tan M, Campbell B, Parsi K, Davies AH. Management of bleeding varicose veins. Phlebology 2024; 39:273-275. [PMID: 38053359 PMCID: PMC10993626 DOI: 10.1177/02683555231219548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Affiliation(s)
- Matthew Tan
- Section of Vascular Surgery, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Bruce Campbell
- Royal Devon University Healthcare Trust, Exeter, UK
- University of Exeter Medical School, Exeter, UK
| | - Kurosh Parsi
- Department of Dermatology, St. Vincent’s Hospital, Sydney, NSW, Australia
| | - Alun H Davies
- Section of Vascular Surgery, Department of Surgery and Cancer, Imperial College London, London, UK
| | - on behalf of UIP
- Section of Vascular Surgery, Department of Surgery and Cancer, Imperial College London, London, UK
- Royal Devon University Healthcare Trust, Exeter, UK
- University of Exeter Medical School, Exeter, UK
- Department of Dermatology, St. Vincent’s Hospital, Sydney, NSW, Australia
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Rowling H, Italiano D, Churilov L, Palanikumar L, Harvey J, Kleinig T, Parsons M, Mitchell P, Davis S, Kruyt N, Campbell B, Zhao H. Large vessel occlusive stroke with milder baseline severity shows better collaterals and reduced harm from thrombectomy transfer delays. Int J Stroke 2024:17474930241242954. [PMID: 38506406 DOI: 10.1177/17474930241242954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
BACKGROUND Patients with large vessel occlusion (LVO) stroke presenting with milder baseline clinical severity are common and require endovascular thrombectomy. However, such patients are difficult to recognize using pre-hospital severity-based triage tools and therefore are likely to require a secondary inter-hospital transfer if transported to a non-thrombectomy center. Given the potential for milder severity to represent better underlying cerebrovascular collateral circulation, it is unknown whether transfer delays are still associated with poorer post-stroke outcomes in this patient group. AIMS We primarily aimed to examine whether the harmful effect of inter-hospital transfer delay for thrombectomy was different for LVO patients with mild or severe deficits. Secondarily, we also investigated whether imaging markers of collateral circulation were different between severity groups. METHODS Registry data from two large Australian thrombectomy centers were used to identify all directly presenting and secondarily transferred LVO patients undergoing thrombectomy, divided into those with lower (NIHSS < 10) and higher (NIHSS ⩾ 10) baseline deficits. The primary outcome was the functional independence or return to baseline defined as modified Rankin Scale 0-2 or baseline at 90 days. Patients with complete baseline CT-perfusion data were analyzed for imaging markers of collateral circulation by baseline severity group. RESULTS A total of 1210 LVO patients undergoing thrombectomy were included, of which 273 (22.6%) had lower baseline severity. Despite similar thrombolysis and recanalization rates, transferred patients had lower odds of achieving the primary outcome compared to the primary presentation to a thrombectomy center, where baseline severity was higher (adjusted odds ratio (aOR) 0.759 (95% CI 0.576-0.999)), but not when severity was lower (aOR 1.357 (95% CI 0.764-2.409), p-interaction = 0.122). In the imaging analysis of 436 patients, those with milder severity showed smaller median ischemic core volumes (12.6 (IQR 0.0-17.9) vs 27.5 (IQR 6.5-37.1) mL, p < 0.001)), higher median perfusion mismatch ratio (10.8 (IQR 4.8-54.5) vs 6.6 (IQR 3.5-16.5), p < 0.001), and lower median hypoperfusion intensity ratio (0.25 (IQR 0.18-0.38) vs 0.40 (IQR 0.22-0.57), p < 0.001). DISCUSSION Patients receiving secondary inter-hospital transfer for thrombectomy had poorer outcomes compared to those presenting directly to a thrombectomy center if baseline deficits were severe, but this difference was not observed when baseline deficits were milder. This result may potentially be due to our secondary findings of significantly improved collateral circulation markers in lower-severity LVO patients. As such, failure of pre-hospital screening tools to detect lower-severity LVO patients for pre-hospital bypass to a thrombectomy center may not necessarily deleteriously affect outcome. DATA ACCESS STATEMENT Anonymized data not published within this article will be made available on request from any qualified investigator.
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Affiliation(s)
- Hannah Rowling
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Dominic Italiano
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Leonid Churilov
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Logesh Palanikumar
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Jackson Harvey
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Timothy Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Mark Parsons
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
- South Western Sydney Clinical School, University of New South Wales, Warwick Farm, NSW, Australia
- Department of Neurology, Liverpool Hospital, Liverpool, NSW, Australia
| | - Peter Mitchell
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Stephen Davis
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Nyika Kruyt
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Bruce Campbell
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Henry Zhao
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
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Poli S, Grohmann C, Wenzel DA, Poli K, Tuennerhoff J, Nedelmann M, Fiehler J, Agostini H, Campbell B, Fischer DM, Sykora M, Mac Grory B, Feltgen N, Seiffge DJ, Strbian D, Schultheiß M, Spitzer MS. Early REperfusion Therapy with Intravenous Alteplase for Recovery of VISION in Acute Central Retinal Artery Occlusion (REVISION): Study Protocol of a Phase III Trial. Int J Stroke 2024:17474930241248516. [PMID: 38591748 DOI: 10.1177/17474930241248516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
RATIONALE Meta-analyses of case series of non-arteritic central retinal artery occlusion (CRAO) indicate beneficial effects of intravenous thrombolysis when initiated early after symptom onset. Randomized data is lacking to address this question. AIMS REVISION investigates intravenous alteplase within 4.5 hours of monocular vision loss due to acute CRAO. METHODS Randomized (1:1), double-blind, placebo-controlled, multicenter adaptive phase III trial. STUDY OUTCOMES Primary outcome is functional recovery to normal or mildly impaired vision in the affected eye defined as best corrected visual acuity of the Logarithm of the Minimum An-gle of Resolution of 0.5 or less at 30 days (intention-to-treat analysis). Secondary efficacy out-comes include modified Rankin Score at 90 days and quality of life. Safety outcomes include symptomatic intracranial hemorrhage, major bleeding (International Society on Thrombosis and Haemostasis definition) and mortality. Exploratory analyses of optical coherence tomogra-phy/angiography, ultrasound and MRI biomarkers will be conducted. SAMPLE SIZE Using an adaptive design with interim analysis at 120 patients, up to 422 participants (211 per arm) would be needed for 80% power (one-sided alpha 0.025) to detect a difference of 15%, assuming functional recovery rates of 10% in the placebo arm and 25% in the alteplase arm. DISCUSSION By enrolling patients within 4.5 hours of CRAO onset, REVISION uses insights from meta-analyses of CRAO case series and randomized thrombolysis trials in acute ischemic stroke. Increased rates of early reperfusion and good neurological outcomes in stroke may trans-late to CRAO with its similar pathophysiology. TRIAL REGISTRATION ClinicalTrials.gov: NCT04965038; EU Trial Number: 2023-507388-21-00.
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Affiliation(s)
- Sven Poli
- Department of Neurology & Stroke, University of Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Carsten Grohmann
- Department of Ophthalmology, Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Daniel A Wenzel
- Department of Ophthalmology, University of Tübingen, Germany
| | - Khouloud Poli
- Department of Neurology & Stroke, University of Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Johannes Tuennerhoff
- Department of Neurology & Stroke, University of Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Max Nedelmann
- Department of Neurology, Regio Kliniken GmbH, Pinneberg, Germany
| | - Jens Fiehler
- Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Eppdata GmbH, Hamburg, Germany
| | | | - Bruce Campbell
- Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - Dominik M Fischer
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, United Kingdom
- Nuffield Laboratory of Ophthalmology, University of Oxford, United Kingdom
| | - Marek Sykora
- Department of Neurology, St. John's Hospital, Vienna, Austria
- Medical Faculty, Sigmund Freud University, Vienna, Austria
| | - Brian Mac Grory
- Duke Clinical Research Institute, Durham, NC, USA
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Nicolas Feltgen
- Department of Ophthalmology, Universitätsspital Basel, Switzerland
| | | | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Finland
| | - Maximilian Schultheiß
- Department of Ophthalmology, Medical Center Hamburg-Eppendorf, Hamburg, Germany
- AugenChirurgie München, Eye Clinic Herzog Carl Theodor, Munich, Germany
| | - Martin S Spitzer
- Department of Ophthalmology, Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Vallabhaneni SR, Patel SR, Campbell B, Boyle JR, Cook A, Crosher A, Holder SM, Jenkins MP, Ormesher DC, Rosala-Hallas A, Jackson RJ. Editor's Choice - Comparison of Open Surgery and Endovascular Techniques for Juxtarenal and Complex Neck Aortic Aneurysms: The UK COMPlex AneurySm Study (UK-COMPASS) - Peri-operative and Midterm Outcomes. Eur J Vasc Endovasc Surg 2024; 67:540-553. [PMID: 38428672 DOI: 10.1016/j.ejvs.2024.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 02/21/2024] [Accepted: 02/27/2024] [Indexed: 03/03/2024]
Abstract
OBJECTIVE Treatment of juxtarenal and complex neck abdominal aortic aneurysms (AAAs) is now commonly by endovascular rather than open surgical repair (OSR). Published comparisons show poor validity and scientific precision. UK-COMPASS is a comparative cohort study of endovascular treatments vs. OSR for patients with an AAA unsuitable for standard on label endovascular aneurysm repair (EVAR). METHODS All procedures for AAA in England (November 2017 to October 2019) were identified, AAA anatomy assessed in a Corelab, peri-operative risk scores determined, and propensity scoring used to identify patients suitable for either endovascular treatment or OSR. Patients were stratified by aneurysm neck length (0 - 4 mm, 5 - 9 mm, or ≥ 10 mm) and operative risk; the highest quartile was considered high risk and the remainder standard risk. Death was the primary outcome measure. Endovascular treatments included fenestrated EVAR (FEVAR) and off label standard EVAR (± adjuncts). RESULTS Among 8 994 patients, 2 757 had AAAs that were juxtarenal, short neck, or complex neck in morphology. Propensity score stratification and adjustment method comparisons included 1 916 patients. Widespread off label use of standard EVAR devices was noted (35.6% of patients). The adjusted peri-operative mortality rate was 2.9%, lower for EVAR (1.2%; p = .001) and FEVAR (2.2%; p = .001) than OSR (4.5%). In standard risk patients with a 0 - 4 mm neck, the mortality rate was 7.4% following OSR and 2.3% following FEVAR. Differences were smaller for patients with a neck length ≥ 5 mm: 2.1% OSR vs. 1.0% FEVAR. At 3.5 years of follow up, the overall mortality rate was 20.7% in the whole study population, higher following FEVAR (27.6%) and EVAR (25.2%) than after OSR (14.2%). However, in the 0 - 4 mm neck subgroup, overall survival remained equivalent. The aneurysm related mortality rate was equivalent between treatments, but re-intervention was more common after EVAR and FEVAR than OSR. CONCLUSION FEVAR proves notably safer than OSR in the peri-operative period for juxtarenal aneurysms (0 - 4 mm neck length), with comparable midterm survival. For patients with short neck (5 - 9 mm) and complex neck (≥ 10 mm) AAAs, overall survival was worse in endovascularly treated patients compared with OSR despite relative peri-operative safety. This warrants further research and a re-appraisal of the current clinical application of endovascular strategies, particularly in patients with poor general survival outlook owing to comorbidity and age.
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Affiliation(s)
- Srinivasa R Vallabhaneni
- Liverpool University Hospitals NHS Foundation Trust, Aintree University Hospital, Liverpool, UK; Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK.
| | - Shaneel R Patel
- Liverpool University Hospitals NHS Foundation Trust, Aintree University Hospital, Liverpool, UK; Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK
| | - Bruce Campbell
- Royal Devon University Healthcare Trust, Exeter, UK; University of Exeter Medical School, Exeter, UK
| | - Jonathan R Boyle
- Cambridge University Hospitals NHS Trust, Cambridge, UK; Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | | | - Alastair Crosher
- Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool University Hospital, Liverpool, UK
| | - Sophie M Holder
- Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool University Hospital, Liverpool, UK
| | - Michael P Jenkins
- Imperial College Healthcare NHS Trust, St Mary's Hospital, London, UK
| | - David C Ormesher
- East Lancashire Hospitals NHS Trust, Royal Blackburn Teaching Hospital, Blackburn, UK
| | - Anna Rosala-Hallas
- Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK
| | - Richard J Jackson
- Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK
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5
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Chen M, Joshi KC, Kolb B, Sitton CW, Pujara DK, Abraham MG, Ortega-Gutierrez S, Kasner SE, Hussain SM, Churilov L, Blackburn S, Sundararajan S, Hu YC, Herial N, Arenillas JF, Tsai JP, Budzik RF, Hicks W, Kozak O, Yan B, Cordato D, Manning NW, Parsons M, Hanel RA, Aghaebrahim A, Wu T, Cardona Portela P, Gandhi CD, Al-Mufti F, Perez de la Ossa N, Schaafsma J, Blasco J, Sangha N, Warach S, Kleinig TJ, Johns H, Shaker F, Abdulrazzak MA, Ray A, Sunshine J, Opaskar A, Duncan KR, Xiong W, Al-Shaibi FK, Samaniego EA, Nguyen TN, Fifi JT, Tjoumakaris SI, Jabbour P, Mendes Pereira V, Lansberg MG, Sila C, Bambakidis NC, Davis S, Wechsler L, Albers GW, Grotta JC, Ribo M, Hassan AE, Campbell B, Hill MD, Sarraj A. Clinical relevance of intracranial hemorrhage after thrombectomy versus medical management for large core infarct: a secondary analysis of the SELECT2 randomized trial. J Neurointerv Surg 2024:jnis-2023-021219. [PMID: 38471760 DOI: 10.1136/jnis-2023-021219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/18/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND The incidence of intracerebral hemorrhage (ICH) and its effect on the outcomes after endovascular thrombectomy (EVT) for patients with large core infarcts have not been well-characterized. METHODS SELECT2 trial follow-up imaging was evaluated using the Heidelberg Bleeding Classification (HBC) to define hemorrhage grade. The association of ICH with clinical outcomes and treatment effect was examined. RESULTS Of 351 included patients, 194 (55%) and 189 (54%) demonstrated intracranial and intracerebral hemorrhage, respectively, with a higher incidence in EVT (134 (75%) and 130 (73%)) versus medical management (MM) (60 (35%) and 59 (34%), both P<0.001). Hemorrhagic infarction type 1 (HBC=1a) and type 2 (HBC=1b) accounted for 93% of all hemorrhages. Parenchymal hematoma (PH) type 1 (HBC=1c) and type 2 (HBC=2) were observed in 1 (0.6%) EVT-treated and 4 (2.2%) MM patients. Symptomatic ICH (sICH) (SITS-MOST definition) was seen in 0.6% EVT patients and 1.2% MM patients. No trend for ICH with core volumes (P=0.10) or Alberta Stroke Program Early CT Score (ASPECTS) (P=0.74) was observed. Among EVT patients, the presence of any ICH did not worsen clinical outcome (modified Rankin Scale (mRS) at 90 days: 4 (3-6) vs 4 (3-6); adjusted generalized OR 1.00, 95% CI 0.68 to 1.47, P>0.99) or modify EVT treatment effect (Pinteraction=0.77). CONCLUSIONS ICH was present in 75% of the EVT population, but PH or sICH were infrequent. The presence of any ICH did not worsen functional outcomes or modify EVT treatment effect at 90-day follow-up. The high rate of hemorrhages overall still represents an opportunity for adjunctive therapies in EVT patients with a large ischemic core.
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Affiliation(s)
- Michael Chen
- Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Krishna C Joshi
- Neurological Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Bradley Kolb
- Rush University Medical Center, Chicago, Illinois, USA
| | - Clark W Sitton
- Diagnostic & Interventional Imaging, UT Houston, Houston, Texas, USA
| | | | - Michael G Abraham
- Neurology and Radiology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Santiago Ortega-Gutierrez
- Neuroloy, Neurosurgery and Radiology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Scott E Kasner
- Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Shazam M Hussain
- Cleveland Clinic Stroke Program, Cleveland Clinic, Cleveland Heights, Ohio, USA
| | | | - Spiros Blackburn
- Neurosurgery, University of Texas Medical School at Houston Vivian L Smith Department of Neurosurgery, Houston, Texas, USA
| | | | - Yin C Hu
- Neurosurgery, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Nabeel Herial
- Neurological Surgery, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania, USA
| | - Juan F Arenillas
- Stroke Unit, Neurology Department, Stroke Unit. Neurology Department. Universitary Hospital, Valladolid (Spain), Valladolid, Spain
| | - Jenny P Tsai
- Cerebrovascular Center, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - William Hicks
- OhioHealth Neurological Physicians, Riverside Methodist Hospital, Columbus, Ohio, USA
| | - Osman Kozak
- Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
- Abington Memorial Hospital, Abington, Pennsylvania, USA
| | - Bernard Yan
- The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Dennis Cordato
- Department of Neurology and Neurophysiology, Liverpool Hospital, Liverpool, New South Wales, Australia
- Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia
| | - Nathan W Manning
- Institute of Neurosciences, UNSW Prince of Wales Clinical School, Sydney, New South Wales, Australia
- Advanced Endovascular Therapy, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Mark Parsons
- Liverpool Hospital, Liverpool, New South Wales, Australia
| | | | - Amin Aghaebrahim
- Neurological Institute, Lyerley Neurosurgery, Baptist Medical Center Jacksonville, Jacksonville, Florida, USA
| | - Teddy Wu
- Neurology, Christchurch Hospital, Christchurch, Canterbury, New Zealand
| | | | - Chirag D Gandhi
- Neurosurgery, Westchester Medical Center, Valhalla, New York, USA
| | - Fawaz Al-Mufti
- Neurology and Neurosurgery, Westchester Medical Center, Valhalla, New York, USA
| | | | - Joanna Schaafsma
- Medicine - Div. Neurology, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Jordi Blasco
- Neurointerventional Department C.D.I, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Navdeep Sangha
- Kaiser Permanente Southern California, Los Angeles, California, USA
| | - Steven Warach
- University of Texas at Austin Dell Seton Medical Center, Austin, Texas, USA
| | - Timothy J Kleinig
- Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Hannah Johns
- University of Melbourne, Parkville, Victoria, Australia
| | - Faris Shaker
- Neurology, University of Texas McGovern Medical School, Houston, Texas, USA
| | | | - Abhishek Ray
- Neurological Surgery, University Hospitals, Cleveland, Ohio, USA
| | - Jeffery Sunshine
- Radiology, University Hospitals-Case Medical Center, Cleveland, Ohio, USA
| | - Amanda Opaskar
- University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Kelsey R Duncan
- University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Wei Xiong
- University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | | | - Edgar A Samaniego
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Thanh N Nguyen
- Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Johanna T Fifi
- Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Pascal Jabbour
- Neurological Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Vitor Mendes Pereira
- Division of Neuroradiology, Department of Medical Imaging and Division of Neurosurgery, Department of Surgery, University Health Network - Toronto Western Hospital, Toronto, Ontario, Canada
| | - Maarten G Lansberg
- Department of Neurology, Stanford Stroke Center, Stanford University, Stanford, California, USA
| | - Cathy Sila
- Neurological Institute, University Hospitals- Case Medical Center, Cleveland, Ohio, USA
- Neurology, Case Western Reserve University School of Medicine
| | - Nicholas C Bambakidis
- Neurological Surgery, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Stephen Davis
- The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Lawrence Wechsler
- University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
| | - Gregory W Albers
- Neurology & Neurological Sciences, Stanford University, Stanford, California, USA
| | - James C Grotta
- Neurology, Memorial Hermann Hospital/UT Houston, Houston, Texas, USA
| | - Marc Ribo
- Stroke Unit, Neurology, Hospital Vall d'Hebron, Barcelona, Spain
- Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ameer E Hassan
- Department of Neurology, University of Texas Rio Grande Valley, Harlingen, Texas, USA
| | - Bruce Campbell
- The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael D Hill
- Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Clinical Neurosciences, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Amrou Sarraj
- Neurology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
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Italiano D, Johns H, Campbell B, Turc G, Churilov L. Reporting and analysis of process-of-care time measures in clinical trials for hyperacute stroke interventions: a scoping review protocol. JBI Evid Synth 2024; 22:489-497. [PMID: 38099923 DOI: 10.11124/jbies-23-00136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
OBJECTIVE The objective of this scoping review is to investigate the reporting and comparison of process-of-care time measures in hyperacute stroke trials and systematic reviews of trials (subsequently referred to as "studies"). INTRODUCTION Stroke is a leading cause of death and disability worldwide. A crucial factor in determining the effectiveness of stroke care in improving patient outcomes is time; therefore, time measures are frequently reported in studies of hyperacute stroke interventions. However, there is inconsistency in how these measures are reported and compared. Furthermore, there is a lack of clarity in how compatible the reporting methods are with the statistical analysis methods. INCLUSION CRITERIA This scoping review will include studies that report and/or compare time measures between key events of interest in the delivery of hyperacute stroke care. Studies of thrombolytic therapy and/or thrombectomy, as well as controlled trials of mobile stroke unit interventions, will be included. METHODS The scoping review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and the JBI methodology for scoping reviews. The search will be executed in MEDLINE (PubMed), Embase (Ovid), and clinical trial registries ANZCTR, ISRCTN, and ClinicalTrials.gov. Title and abstract screening will be followed by full-text screening and subsequent data extraction from eligible studies. The results from this scoping review will be presented in tables and narratively summarized. REVIEW REGISTRATION Open Science Framework https://osf.io/y98wz.
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Affiliation(s)
- Dominic Italiano
- Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Australian Stroke Alliance, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Hannah Johns
- Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Australian Stroke Alliance, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Guillaume Turc
- Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris Cité, Paris, France
- Inserm, Paris, France
- FHU NeuroVasc, Paris, France
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Australian Stroke Alliance, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
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7
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van Voorst H, Hoving JW, Koopman MS, Daems JD, Peerlings D, Buskens E, Lingsma H, Marquering HA, de Jong HWAM, Berkhemer OA, van Zwam WH, van Walderveen MAA, van den Wijngaard IR, Dippel DWJ, Yoo AJ, Campbell B, Kunz WG, Majoie CB, Emmer BJ. Costs and health effects of CT perfusion-based selection for endovascular thrombectomy within 6 hours of stroke onset: a model-based health economic evaluation. J Neurol Neurosurg Psychiatry 2023:jnnp-2023-331862. [PMID: 38124162 DOI: 10.1136/jnnp-2023-331862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/19/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Although CT perfusion (CTP) is often incorporated in acute stroke workflows, it remains largely unclear what the associated costs and health implications are in the long run of CTP-based patient selection for endovascular treatment (EVT) in patients presenting within 6 hours after symptom onset with a large vessel occlusion. METHODS Patients with a large vessel occlusion were included from a Dutch nationwide cohort (n=703) if CTP imaging was performed before EVT within 6 hours after stroke onset. Simulated cost and health effects during 5 and 10 years follow-up were compared between CTP based patient selection for EVT and providing EVT to all patients. Outcome measures were the net monetary benefit at a willingness-to-pay of €80 000 per quality-adjusted life year, incremental cost-effectiveness ratio), difference in costs from a healthcare payer perspective (ΔCosts) and quality-adjusted life years (ΔQALY) per 1000 patients for 1000 model iterations as outcomes. RESULTS Compared with treating all patients, CTP-based selection for EVT at the optimised ischaemic core volume (ICV≥110 mL) or core-penumbra mismatch ratio (MMR≤1.4) thresholds resulted in losses of health (median ΔQALYs for ICV≥110 mL: -3.3 (IQR: -5.9 to -1.1), for MMR≤1.4: 0.0 (IQR: -1.3 to 0.0)) with median ΔCosts for ICV≥110 mL of -€348 966 (IQR: -€712 406 to -€51 158) and for MMR≤1.4 of €266 513 (IQR: €229 403 to €380 110)) per 1000 patients. Sensitivity analyses did not yield any scenarios for CTP-based selection of patients for EVT that were cost-effective for improving health, including patients aged ≥80 years CONCLUSION: In EVT-eligible patients presenting within 6 hours after symptom onset, excluding patients based on CTP parameters was not cost-effective and could potentially harm patients.
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Affiliation(s)
- Henk van Voorst
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Jan W Hoving
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | - Miou S Koopman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | - Jasper D Daems
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daan Peerlings
- Department of Radiology, University Medical Center Utrecht, Utrecht, Utrecht, The Netherlands
| | - Erik Buskens
- Epidemiology, University Medical Centre Groningen, Groningen, Groningen, The Netherlands
| | - Hester Lingsma
- Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Henk A Marquering
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
- Biomedical Engineering and Physics, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | | | - Olvert A Berkhemer
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Wim H van Zwam
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Ido R van den Wijngaard
- Neurology, HMC Westeinde, The Hague, Zuid-Holland, The Netherlands
- Neurology, Leiden University, Leiden, The Netherlands
| | | | - Albert J Yoo
- Neurointervention, Texas Stroke Institute, Plano, Texas, USA
| | - Bruce Campbell
- The Royal Melbourne Hospital, Parkville, Melbourne, Australia
| | | | - Charles B Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
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8
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Janzen K, Burke C, Campbell BD, Samsel F, Campbell B, Samsel F. JNZNBRK: Physical Experiments in Light, Modulation, and Substrate. IEEE Comput Graph Appl 2023; 43:126-132. [PMID: 37930894 DOI: 10.1109/mcg.2023.3322888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
We requested an interview with the Winnipeg-based JNZNBRK art collaborative upon being curious about their work process. The artwork they present on jnznbrk.com suggested a thoughtful aesthetic involving compelling physical exhibits. As we are always interested in the physicalization of data, we were keen to hear about possible considerations that might contribute as relevant to our, and our readers', practices.
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9
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Campbell B, Muse S, Welchman S, Hardy T, Guy A. The surgical care of diabetic feet: a survey about clinics, acute care, and the surgical specialists involved. Ann R Coll Surg Engl 2023; 105:623-626. [PMID: 37652087 PMCID: PMC10471430 DOI: 10.1308/rcsann.2023.0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2023] [Indexed: 09/02/2023] Open
Abstract
INTRODUCTION Diabetic foot problems are becoming increasingly common. Diabetic foot care services are fundamental in managing them, and there is the further issue of acute surgery for foot sepsis. The involvement of different surgical specialists has been variable; this survey aimed to provide information about current service provision. METHODS Questionnaires were emailed to Vascular Society members, and targeted approaches were then undertaken. RESULTS We aimed to obtain information from 61 localities identified as providing shared services, and received informative responses from 46 (75%). These described diabetic foot clinics each day (11%), or once (50%), twice (13%) or three times (17%) weekly - attended regularly by vascular surgeons, and less frequently by orthopaedic surgeons. The frequency of clinics was considered inadequate by 30% of respondents, and only 75% reported written policies for diabetic foot care pathways. Operations for acute foot sepsis are done by vascular surgeons in 98% of localities and by orthopaedic surgeons in 22% (in some localities by both): the latter are orthopaedic foot specialists in all localities but two. Both specialties perform a range of foot procedures, including toe/foot-preserving operations. Major amputations are done by vascular surgeons in 98% of localities and by orthopaedic surgeons in only 9%. All deformity correction procedures are performed by orthopaedic surgeons. CONCLUSION This survey shows that diabetic foot clinics are now held frequently in most localities. There is variation in the involvement of vascular and orthopaedic surgeons. Some localities need to consider increased provision of clinics and better defined pathways of care.
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Affiliation(s)
- B Campbell
- Royal Devon University Healthcare NHS Foundation Trust, UK
| | - S Muse
- Royal Devon University Healthcare NHS Foundation Trust, UK
| | - S Welchman
- Royal Devon University Healthcare NHS Foundation Trust, UK
| | - T Hardy
- Royal Devon University Healthcare NHS Foundation Trust, UK
| | - A Guy
- Royal Devon University Healthcare NHS Foundation Trust, UK
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10
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Selikoff N, Campbell BD, Samsel F, Campbell B, Samsel F. Nathan Selikoff: Explorations in Higher Dimensionality and Complexity. IEEE Comput Graph Appl 2023; 43:122-130. [PMID: 37708005 DOI: 10.1109/mcg.2023.3296275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
While data scientists pursue new extremes of high-dimensional data, and data visualization professionals attempt to visualize within that space, Nathan Selikoff's work suggested a unique perspective on relationship among complexity, higher dimensions, and sensing what otherwise cannot be sensed. His long-tailed pursuit of visualizing complexity piqued our interest as we interviewed him for this article.
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11
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Rex N, Ospel JM, Brown SB, McDonough RV, Kashani N, Hill MD, Dippel DWJ, Campbell B, Muir KW, Demchuk AM, Bracard S, Guillemin F, Jovin TG, Mitchell PJ, White P, Majoie CBLM, Saver JL, Goyal M. Endovascular therapy in acute ischemic stroke with poor reperfusion is associated with worse outcomes compared with best medical management: a HERMES substudy. J Neurointerv Surg 2023:jnis-2023-020411. [PMID: 37532454 DOI: 10.1136/jnis-2023-020411] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/21/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Functional outcomes in patients with acute ischemic stroke (AIS) with large vessel occlusion (LVO) undergoing endovascular treatment (EVT) with poor reperfusion were compared with patients with AIS-LVO treated with best medical management only. METHODS Data are from the HERMES collaboration, a patient-level meta-analysis of seven randomized EVT trials. Baseline characteristics and functional outcomes (modified Rankin Scale (mRS) score at 90 days) were compared between patients with poor reperfusion (defined as modified Thrombolysis in Cerebral Infarction Score 0-1 on the final intracranial angiography run as assessed by the central imaging core laboratory) and patients in the control arm with multivariable logistic ordinal logistic regression adjusted for pre-specified baseline variables. RESULTS 972 of 1764 patients from the HERMES collaboration were included in the analysis: 893 in the control arm and 79 in the EVT arm with final mTICI 0-1. Patients with poor reperfusion who underwent EVT had higher baseline National Institutes of Health Stroke Scale than controls (median 19 (IQR 15.5-21) vs 17 (13-21), P=0.011). They also had worse mRS at 90 days compared with those in the control arm in adjusted analysis (median 4 (IQR 3-6) vs median 4 (IQR 2-5), adjusted common OR 0.59 (95% CI 0.38 to 0.91)). Symptomatic intracranial hemorrhage was not different between the two groups (3.9% vs 3.5%, P=0.75, adjusted OR 0.94 (95% CI 0.23 to 3.88)). CONCLUSION Poor reperfusion after EVT was associated with worse outcomes than best medical management, although no difference in symptomatic intracranial hemorrhage was seen. These results emphasize the need for additional efforts to further improve technical EVT success rates.
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Affiliation(s)
- Nathaniel Rex
- Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Johanna M Ospel
- Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | | | - Rosalie V McDonough
- Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Nima Kashani
- Neuroradiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Michael D Hill
- Clinical Neurosciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | | | - Bruce Campbell
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Keith W Muir
- Department of Neurology, University of Glasgow, Glasgow, UK
| | - Andrew M Demchuk
- Clinical Neurosciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Serge Bracard
- Neuroradiology, Université de Lorraine, Nancy, France
| | - Francis Guillemin
- Clinical Investigation Centre-Clinical Epidemiology INSERM 1433, University of Lorraine, Nancy, France
| | - Tudor G Jovin
- Neurology, Cooper University Hospital, Camden, New Jersey, USA
| | - Peter J Mitchell
- Radiology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Phil White
- Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK
| | - Charles B L M Majoie
- Radiology and Nuclear Medicine, Amsterdam UMC - Locatie AMC, Amsterdam, North Holland, The Netherlands
| | - Jeffrey L Saver
- Comprehensive Stroke Center and Neurology, David Geffen School of Medicine, Los Angeles, California, USA
| | - Mayank Goyal
- Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
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Johns H, Campbell B, Turc G, Churilov L. Power Analysis for Ordinal Analyses of the Modified Rankin Scale and an Online and Downloadable Tool for Practical Use. Stroke 2023. [PMID: 37264911 DOI: 10.1161/strokeaha.122.041260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
BACKGROUND Several methods for conducting power analysis of studies with outcomes across the full ordinal modified Rankin Scale are proposed in the literature. No systematic comparison of accuracy, agreement, and sensitivity to small changes in hypothesized effect sizes for these methods is available. Our aim is to conduct such a systematic comparative analysis and to introduce a comprehensive freely available online tool to facilitate appropriate power analyses for ordinal outcomes. METHODS We performed simulation studies utilizing the control arm modified Rankin Scale distributions from the AVERT (A Very Early Rehabilitation Trial), EXTEND (Extending the Time for Thrombolysis in Emergency Neurological Deficits), and HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials) studies, as well as a uniform distribution, in combination with hypothetical treatment effects. We systematically evaluated published power formulas for Ordinal Logistic Regression and Tournament Methods (generalized odds ratio; Win Probability; Win Ratio; and Wilcoxon-Mann-Whitney U test). We also developed an online and downloadable Shiny R app facilitating sample size calculation for, and ordinal analysis of, modified Rankin Scale data. RESULTS Power formulas for Tournament Methods performed well, while the formula for ordinal logistic regression was inaccurate. Tang's Wilcoxon-Mann-Whitney U test sample size formula exhibited the highest accuracy. All methods, including ordinal logistic regression, had almost identical empirical power for a given sample size. All power methods exhibited sensitivity to small changes in hypothesized effect size. The developed freely available online app supports analytical and visualization requirements for all investigated methods for power and statistical analyses of ordinal modified Rankin Scale outcomes. CONCLUSIONS As Tournament Method sample size formulas are assumption-free and accurately calculate power, stroke researchers should use these methods when designing studies with outcomes measured on the full or partially collapsed modified Rankin Scale as well as other ordinal scales, even if they intend to use ordinal logistic regression for analysis. Conducting sensitivity analyses of the effect size assumptions are essential for appropriate sample size estimation. Our developed tool supports both of these recommendations (https://www.thembc.com.au/tournamentmethods).
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Affiliation(s)
- Hannah Johns
- Melbourne Medical School, University of Melbourne, Victoria, Australia (H.J., L.C.)
- Australian Stroke Alliance, Melbourne Brain Centre, Royal Melbourne Hospital, Victoria, Australia (H.J., B.C., L.C.)
| | - Bruce Campbell
- Australian Stroke Alliance, Melbourne Brain Centre, Royal Melbourne Hospital, Victoria, Australia (H.J., B.C., L.C.)
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, Parkville, Australia (B.C.)
| | - Guillaume Turc
- Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Paris, France (G.T.)
- Université Paris Cité, Paris, France (G.T.)
- INSERM U1266, Paris, France (G.T.)
- FHU Neurovasc, Paris, France (G.T.)
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Victoria, Australia (H.J., L.C.)
- Australian Stroke Alliance, Melbourne Brain Centre, Royal Melbourne Hospital, Victoria, Australia (H.J., B.C., L.C.)
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13
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Mujanovic A, Brigger R, Kurmann CC, Ng F, Branca M, Dobrocky T, Meinel TR, Windecker D, Almiri W, Grunder L, Beyeler M, Seiffge DJ, Pilgram-Pastor S, Arnold M, Piechowiak EI, Campbell B, Gralla J, Fischer U, Kaesmacher J. Prediction of delayed reperfusion in patients with incomplete reperfusion following thrombectomy. Eur Stroke J 2023; 8:456-466. [PMID: 37231686 DOI: 10.1177/23969873231164274] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND The clinical course of patients with incomplete reperfusion after thrombectomy, defined as an expanded Thrombolysis in Cerebral Infarction (eTICI) score of 2a-2c, is heterogeneous. Patients showing delayed reperfusion (DR) have good clinical outcomes, almost comparable to patients with ad-hoc TICI3 reperfusion. We aimed to develop and internally validate a model that predicts DR occurrence in order to inform physicians about the likelihood of a benign natural disease progression. PATIENTS AND METHODS Single-center registry analysis including all consecutive, study-eligible patients admitted between 02/2015 and 12/2021. Preliminary variable selection for the prediction of DR was performed using bootstrapped stepwise backward logistic regression. Interval validation was performed with bootstrapping and the final model was developed using a random forests classification algorithm. Model performance metrics are reported with discrimination, calibration, and clinical decision curves. Primary outcome was concordance statistics as a measure of goodness of fit for the occurrence of DR. RESULTS A total of 477 patients (48.8% female, mean age 74 years) were included, of whom 279 (58.5%) showed DR on 24 follow-up. The model's discriminative ability for predicting DR was adequate (C-statistics 0.79 [95% CI: 0.72-0.85]). Variables with strongest association with DR were: atrial fibrillation (aOR 2.06 [95% CI: 1.23-3.49]), Intervention-To-Follow-Up time (aOR 1.06 [95% CI: 1.03-1.10]), eTICI score (aOR 3.49 [95% CI: 2.64-4.73]), and collateral status (aOR 1.33 [95% CI: 1.06-1.68]). At a risk threshold of R = 30%, use of the prediction model could potentially reduce the number of additional attempts in one out of four patients who will have spontaneous DR, without missing any patients who do not show spontaneous DR on follow-up. CONCLUSIONS The model presented here shows fair predictive accuracy for estimating chances of DR after incomplete thrombectomy. This may inform treating physicians on the chances of a favorable natural disease progression if no further reperfusion attempts are made.
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Affiliation(s)
- Adnan Mujanovic
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Robin Brigger
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Christoph C Kurmann
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
- Department of Diagnostic, Interventional and Pediatric Radiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Felix Ng
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | | | - Tomas Dobrocky
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Thomas R Meinel
- Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Daniel Windecker
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - William Almiri
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Lorenz Grunder
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Morin Beyeler
- Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - David J Seiffge
- Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Sara Pilgram-Pastor
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Marcel Arnold
- Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Eike I Piechowiak
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Jan Gralla
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Urs Fischer
- Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland
- Department of Neurology, University Hospital of Basel, University of Basel, Basel, Switzerland
| | - Johannes Kaesmacher
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, University of Bern, Bern, Switzerland
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14
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Garrison LA, Goodsell DS, Bruckner S, Campbell B, Samsel F. Changing Aesthetics in Biomolecular Graphics. IEEE Comput Graph Appl 2023; 43:94-101. [PMID: 37195829 PMCID: PMC10288201 DOI: 10.1109/mcg.2023.3250680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Aesthetics for the visualization of biomolecular structures have evolved over the years according to technological advances, user needs, and modes of dissemination. In this article, we explore the goals, challenges, and solutions that have shaped the current landscape of biomolecular imagery from the overlapping perspectives of computer science, structural biology, and biomedical illustration. We discuss changing approaches to rendering, color, human-computer interface, and narrative in the development and presentation of biomolecular graphics. With this historical perspective on the evolving styles and trends in each of these areas, we identify opportunities and challenges for future aesthetics in biomolecular graphics that encourage continued collaboration from multiple intersecting fields.
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15
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Singh N, Cimflova P, Ospel JM, Kashani N, Marko M, Mayank A, Nogueira RG, McTaggart RA, Demchuk AM, Poppe AY, Rempel JL, Field TS, Dowlatshahi D, van Adel B, Swartz RH, Shah R, Sauvageau E, Puetz V, Silver FL, Campbell B, Chapot R, Tymianski M, Goyal M, Almekhlafi MA, Hill MD. Infarcts in a New Territory: Insights From the ESCAPE-NA1 Trial. Stroke 2023; 54:1477-1483. [PMID: 37082967 DOI: 10.1161/strokeaha.122.042200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
BACKGROUND Infarct in a new territory (INT) is a known complication of endovascular stroke therapy. We assessed the incidence of INT, outcomes after INT, and the impact of concurrent treatments with intravenous thrombolysis and nerinetide. METHODS Data are from ESCAPE-NA1 trial (Safety and Efficacy of Nerinetide [NA-1] in Subjects Undergoing Endovascular Thrombectomy for Stroke), a multicenter, international randomized study that assessed the efficacy of intravenous nerinetide in subjects with acute ischemic stroke who underwent endovascular thrombectomy within 12 hours from onset. Concurrent treatment and outcomes were collected as part of the trial protocol. INTs were identified on core lab imaging review of follow-up brain imaging and defined by the presence of infarct in a new vascular territory, outside the baseline target occlusion(s) on follow-up brain imaging (computed tomography or magnetic resonance imaging). INTs were classified by maximum diameter (<2, 2-20, and >20 mm), number, and location. The association between INT and clinical outcomes (modified Rankin Scale and death) was assessed using standard descriptive techniques and adjusted estimates of effect were derived from Poisson regression models. RESULTS Among 1092 patients, 103 had INT (9.3%, median age 69.5 years, 49.5% females). There were no differences in baseline characteristics between those with versus without INT. Most INTs (91/103, 88.3%) were not associated with visible occlusions on angiography and 39 out of 103 (37.8%) were >20 mm in maximal diameter. The most common INT territory was the anterior cerebral artery (27.8%). Almost half of the INTs were multiple (46 subjects, 43.5%, range, 2-12). INT was associated with poorer outcomes as compared to no INT on the primary outcome of modified Rankin Scale score of 0 to 2 at 90 days (adjusted risk ratio, 0.71 [95% CI, 0.57-0.89]). Infarct volume in those with INT was greater by a median of 21 cc compared with those without, and there was a greater risk of death as compared to patients with no INT(adjusted risk ratio, 2.15 [95% CI, 1.48-3.13]). CONCLUSIONS Infarcts in a new territory are common in individuals undergoing endovascular thrombectomy for acute ischemic stroke and are associated with poorer outcomes. Optimal therapeutic approaches, including technical strategies, to reduce INT represent a new target for incremental quality improvement of endovascular thrombectomy. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT02930018.
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Affiliation(s)
- Nishita Singh
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (N.S., M.M., A.M.D., M.A.A., M.D.H.)
- Department of Internal Medicine, Health Sciences Center, University of Manitoba, Winnipeg, Canada (N.S.)
| | - Petra Cimflova
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
| | - Johanna Maria Ospel
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
- Division of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Switzerland (J.M.O.)
| | - Nima Kashani
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
| | - Martha Marko
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (N.S., M.M., A.M.D., M.A.A., M.D.H.)
- Department of Neurology, Medical University of Vienna, Austria (M.M.)
| | - Arnuv Mayank
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
| | - Raul G Nogueira
- Department of Neurology, Emory University School of Medicine, Atlanta (R.G.N.)
| | - Ryan A McTaggart
- Department of Interventional Radiology, Warren Alpert Medical School of Brown University, Providence (R.A.M.)
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (N.S., M.M., A.M.D., M.A.A., M.D.H.)
| | | | - Jeremy L Rempel
- Department of Radiology, University of Alberta Hospital, Edmonton, Canada (J.L.R.)
| | - Thalia S Field
- Vancouver Stroke Program, Division of Neurology, University of British Columbia, Vancouver, Canada (T.S.F.)
| | - Dar Dowlatshahi
- Department of Neurology, Ottawa Hospital, University of Ottawa, Canada (D.D.)
| | - Brian van Adel
- Departments of Radiology and Neurosurgery, McMaster University, Hamilton, Canada (B.v.A.)
| | - Richard H Swartz
- Department of Neurology, Sunnybrook Health Sciences Centre, University Health Network, University of Toronto, Canada. (R.H.S.)
| | - Ruchir Shah
- Department of Neurology, Erlanger Hospital, Chattanooga (R.S.)
| | - Eric Sauvageau
- Lyerly Neurosurgery, Baptist Hospital, Jacksonville (E.S.)
| | - Volker Puetz
- Department of Neurology and Dresden Neurovascular Center, University Hospital Carl Gustav Carus at the Technical University Dresden, Germany (V.P.)
| | - Frank L Silver
- Department of Neurology, University Health Network, University of Toronto, Canada. (F.L.S.)
| | - Bruce Campbell
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (B.C.)
| | - René Chapot
- Department of Neuroradiology, Alfred Krupp Krankenhaus Essen, Essen, Germany (R.C.)
| | | | - Mayank Goyal
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
| | - Mohammed A Almekhlafi
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (N.S., M.M., A.M.D., M.A.A., M.D.H.)
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB, Canada (M.A.A., M.D.H.)
| | - Michael D Hill
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (N.S., M.M., A.M.D., M.A.A., M.D.H.)
- Department of Radiology, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (P.C., J.M.O., N.K., A.M., M.G., M.A.A., M.D.H.)
- epartment of Medicine, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (M.D.H.)
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary and Foothills Medical Centre, Calgary, AB, Canada. (M.D.H.)
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB, Canada (M.A.A., M.D.H.)
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16
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Asif KS, Otite FO, Desai SM, Herial N, Inoa V, Al-Mufti F, Jadhav AP, Dmytriw AA, Castonguay A, Khandelwal P, Potter-Vig J, Szeder V, Kulman T, Urrutia V, Masoud H, Toth G, Limaye K, Aroor S, Brinjikji W, Rai A, Pandian J, Gebreyohanns M, Leung T, Mansour O, Demchuk AM, Huded V, Martins S, Zaidat O, Huo X, Campbell B, Sylaja PN, Miao Z, Saver J, Ortega-Gutierrez S, Yavagal DR. Mechanical Thrombectomy Global Access For Stroke (MT-GLASS): A Mission Thrombectomy (MT-2020 Plus) Study. Circulation 2023; 147:1208-1220. [PMID: 36883458 DOI: 10.1161/circulationaha.122.063366] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
BACKGROUND Despite the well-established potent benefit of mechanical thrombectomy (MT) for large vessel occlusion (LVO) stroke, access to MT has not been studied globally. We conducted a worldwide survey of countries on 6 continents to define MT access (MTA), the disparities in MTA, and its determinants on a global scale. METHODS Our survey was conducted in 75 countries through the Mission Thrombectomy 2020+ global network between November 22, 2020, and February 28, 2021. The primary end points were the current annual MTA, MT operator availability, and MT center availability. MTA was defined as the estimated proportion of patients with LVO receiving MT in a given region annually. The availability metrics were defined as ([current MT operators×50/current annual number of estimated thrombectomy-eligible LVOs]×100 = MT operator availability) and ([current MT centers×150/current annual number of estimated thrombectomy-eligible LVOs]×100= MT center availability). The metrics used optimal MT volume per operator as 50 and an optimal MT volume per center as 150. Multivariable-adjusted generalized linear models were used to evaluate factors associated with MTA. RESULTS We received 887 responses from 67 countries. The median global MTA was 2.79% (interquartile range, 0.70-11.74). MTA was <1.0% for 18 (27%) countries and 0 for 7 (10%) countries. There was a 460-fold disparity between the highest and lowest nonzero MTA regions and low-income countries had 88% lower MTA compared with high-income countries. The global MT operator availability was 16.5% of optimal and the MT center availability was 20.8% of optimal. On multivariable regression, country income level (low or lower-middle versus high: odds ratio, 0.08 [95% CI, 0.04-0.12]), MT operator availability (odds ratio, 3.35 [95% CI, 2.07-5.42]), MT center availability (odds ratio, 2.86 [95% CI, 1.84-4.48]), and presence of prehospital acute stroke bypass protocol (odds ratio, 4.00 [95% CI, 1.70-9.42]) were significantly associated with increased odds of MTA. CONCLUSIONS Access to MT on a global level is extremely low, with enormous disparities between countries by income level. The significant determinants of MT access are the country's per capita gross national income, prehospital LVO triage policy, and MT operator and center availability.
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Affiliation(s)
- Kaiz S Asif
- Ascension Health, Chicago, IL (K.S.A.).,University of Illinois, Chicago (K.S.A.)
| | - Fadar O Otite
- SUNY Upstate Medical University, Syracuse, NY (F.O.O.)
| | - Shashvat M Desai
- HonorHealth Research and Innovation Institute, Scottsdale, AZ (S.M.D.)
| | - Nabeel Herial
- Thomas Jefferson University, Philadelphia, PA (N.H.)
| | - Violiza Inoa
- Semmes-Murphey Neurologic and Spine Clinic, Memphis, TN (V.I.)
| | | | | | | | | | | | - Jennifer Potter-Vig
- Society of Vascular and Interventional Neurology/MT2020, Minneapolis, MN (J.P.-V.)
| | | | | | - Victor Urrutia
- Johns Hopkins University School of Medicine, Baltimore, MD (V.U.)
| | | | | | | | | | | | - Ansaar Rai
- West Virginia University, Morgantown (A.R.)
| | | | | | - Thomas Leung
- Prince of Wales Hospital, Randwick, Australia (T.L.)
| | | | | | - Vikram Huded
- NH Institute of Neurosciences, Bengaluru, Karnataka, India (V.H.)
| | - Sheila Martins
- University of Rio Grande do Sul, Porto Alegre, Brazil (S.M.)
| | - Osama Zaidat
- St Vincent Mercy Medical Center, Toledo, OH (O.Z.)
| | - Xiaochuan Huo
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China (X.H., Z.M.)
| | - Bruce Campbell
- Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (B.C.)
| | - P N Sylaja
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India (P.N.S.)
| | - Zhongrong Miao
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China (X.H., Z.M.)
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17
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Bourcier R, Goyal M, Muir KW, Desal H, Dippel DWJ, Majoie CBLM, van Zwam WH, Jovin TG, Mitchell PJ, Demchuk AM, van Oostenbrugge RJ, Brown SB, Campbell B, White P, Hill MD, Saver JL, Weimar C, Jahan R, Guillemin F, Bracard S, Naggara O. Risk factors of unexplained early neurological deterioration after treatment for ischemic stroke due to large vessel occlusion: a post hoc analysis of the HERMES study. J Neurointerv Surg 2023; 15:221-226. [PMID: 35169030 DOI: 10.1136/neurintsurg-2021-018214] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/25/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Early neurological deterioration (END) after endovascular treatment (EVT) in patients with anterior circulation acute ischemic stroke (AIS) is associated with poor outcome. END may remain unexplained by parenchymal hemorrhage (UnEND). We aim to analyze the risk factors of UnEND in the medical management (MM) and EVT arms of the HERMES study. METHODS We conducted a post-hoc analysis of anterior AIS patients who underwent EVT for proximal anterior occlusions. Risk factors of UnEND, defined as a worsening of ≥4 points between baseline National Institutes of Health Stroke Scale (NIHSS) and NIHSS at 24 hours without hemorrhage, were compared between both arms using mixed logistic regression models adjusted for baseline characteristics. An interaction analysis between the EVT and MM arms for risk factors of UnEND was conducted. RESULTS Among 1723 patients assessable for UnEND, 160 patients experienced an UnEND (9.3%), including 9.1% (78/854) in the EVT arm and 9.4% (82/869) in the MM arm. There was no significant difference in the incidence of UnEND between the two study arms. In the EVT population, independent risk factors of UnEND were lower baseline NIHSS, higher baseline glucose, and lower collateral grade. In the MM population, the only independent predictor of UnEND was higher baseline glucose. However, we did not demonstrate an interaction between EVT and MM for baseline factors as risk factors of UnEND. UnEND was, similarly in both treatment groups, a significant predictor of unfavorable outcome in both the EVT (p<0.001) and MM (p<0.001) arms. CONCLUSIONS UnEND is not an uncommon event, with a similar rate which ever treatment arm is considered. In the clinical scenario of AIS due to large vessel occlusion, no patient-related factor seems to increase the risk for UnEND when treated by EVT compared with MM.
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Affiliation(s)
- Romain Bourcier
- Neuroradiology, Université de Nantes, Nantes, Pays de la Loire, France
| | - Mayank Goyal
- Diagnostic Imaging, University of Calgary, Calgary, Alberta, Canada
| | - Keith W Muir
- Centre for Stroke & Brain Imaging University of Glasgow, University of Glasgow, Glasgow, UK
| | - Hubert Desal
- Neuroradiology, University Hospital of Nantes, Nantes, France
| | | | - Charles B L M Majoie
- Radiology and Nuclear Medicine, Amsterdam UMC - Locatie AMC, Amsterdam, North Holland, The Netherlands
| | - Wim H van Zwam
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Tudor G Jovin
- Neurology, Cooper University Hospital, Camden, New Jersey, USA
| | - Peter J Mitchell
- Radiology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Andrew M Demchuk
- Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Departments of Clinical Neuroscience and Radiology, Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | | | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, Melbourne, Austria
| | - Philip White
- Institute for Ageing & Health, Newcastle University, Newcastle upon Tyne, UK.,Neuroradiology, Newcastle upon Tyne Hospitals, Newcastle upon Tyne, UK
| | - Michael D Hill
- Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Clinical Neurosciences, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Jeffrey L Saver
- Neurology, UCLA, Los Angeles, California, USA.,Comprehensive Stroke Center and Neurology, David Geffen School of Medicine, Los Angeles, California, USA
| | - Christian Weimar
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Duisburg, Nordrhein-Westfalen, Germany
| | - Reza Jahan
- Interventional Neuroradiology, Ronald Reagan UCLA Medical Center, Los Angeles, California, USA
| | - Francis Guillemin
- CIC 1433 Epidémiologie clinique, University of Lorraine and University Hospital of Nancy, Nancy, France
| | - Serge Bracard
- Neuroradiology, University of Lorraine and University Hospital of Nancy, Nancy, France
| | - Olivier Naggara
- Department of Neuroradiology, Saint Anne Hospital Centre, Paris, Île-de-France, France
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18
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Johns H, Campbell B, Bernhardt J, Churilov L. Generalised pairwise comparisons for trend: An extension to the win ratio and win odds for dose-response and prognostic variable analysis with arbitrary statements of outcome preference. Stat Methods Med Res 2023; 32:609-625. [PMID: 36573043 DOI: 10.1177/09622802221146306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The win ratio is a novel approach for handling complex patient outcomes that have seen considerable interest in the medical statistics literature, and operates by considering all-to-all pairwise statements of preference on outcomes. Recent extensions to the method have focused on the two-group case, with few developments made for considering the impact of a well-ordered explanatory variable, which would allow for dose-response analysis or the analysis of links between complex patient outcomes and prognostic variables. Where such methods have been developed, they are semiparametric methods that can only be applied to survival outcomes. In this article, we introduce the generalised pairwise comparison for trend, a modified form of Agresti's generalised odds ratio. This approach is capable of considering arbitrary statements of preference, thus enabling its use across all types of outcome data. We provide a simulation study validating the approach and illustrate it with three clinical applications in stroke research.
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Affiliation(s)
- Hannah Johns
- Melbourne Medical School, University of Melbourne, Melbourne, Australia
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre and Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Julie Bernhardt
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Melbourne, Australia
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19
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Song L, Yang P, Zhang Y, Zhang X, Chen X, Li Y, Shen H, Zhang L, Li Z, Zhang Y, Xing P, Zhang P, Zhou Y, Ren X, Billot L, Wang X, Parsons MW, Butcher K, Campbell B, Robinson T, Goyal M, Dippel D, Roos Y, Majoie C, Liu J, Anderson CS. The second randomized controlled ENhanced Control of Hypertension ANd Thrombectomy strokE stuDy (ENCHANTED2): Protocol and progress. Int J Stroke 2023; 18:364-369. [PMID: 35924814 DOI: 10.1177/17474930221120345] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Uncertainty exists over the optimal level of blood pressure (BP) after mechanical thrombectomy (MT) for acute ischemic stroke (AIS). OBJECTIVES We aim to determine the effectiveness and safety of intensive BP-lowering following MT reperfusion of large-vessel occlusion (LVO)-related AIS. DESIGN The second ENhanced Control of Hypertension ANd Thrombolysis strokE stuDy (ENCHANTED2) is an investigator-initiated, multicenter, prospective, randomized, open, blinded-endpoint (PROBE) trial of intensive systolic BP (SBP) control in reperfused (extended treatment in cerebral infarction (eTICI) classification 2b/2c/3) LVO-AIS patients with persistent hypertension (SBP ⩾ 140 mmHg) at 60+ sites in China, and Australia and the United Kingdom. Eligible patients are centrally randomly allocated to more- (target SBP ⩽ 120 mmHg within 1 h) or less-intensive (target SBP 140-180 mmHg) BP management, to be maintained for 72 h. Primary outcome is an ordinal shift analysis of scores on the modified Rankin scale (mRS) at 90 days. Sample size of 2257 patients provides 90% power to detect a 6.5% absolute reduction in poor outcome from more-intensive BP-lowering using ordinal logistic regression. PROGRESS Recruitment started in China in July 2020. At a meeting of the independent Data and Safety Monitoring Board in March 2022 to review primary outcome data available for 347 patients, they recommended suspension of recruitment due to safety concerns in the more-intensive group; which was implemented by the Trial Steering Committee (TSC) with 817 randomized patients only in China. The TSC then stopped recruitment after the safety concerns persisted on further review of the data in June 2022. The TSC will make a decision on restarting the trial with modification of the protocol when the results are made public. DISCUSSION ENCHANTED2 will provide further randomized evidence on the role of intensive BP-lowering after reperfusion in MT-treated AIS patients. TRIAL REGISTRATION ClinicalTrials.gov NCT04140110; registered 25 October 2019.
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Affiliation(s)
- Lili Song
- The George Institute for Global Health China, Beijing, China.,The George Institute for Global Health, Faculty of Medicine, The University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Pengfei Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yongwei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xiaoxi Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xiaoying Chen
- The George Institute for Global Health China, Beijing, China.,The George Institute for Global Health, Faculty of Medicine, The University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Yunke Li
- The George Institute for Global Health China, Beijing, China
| | - Hongjian Shen
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zifu Li
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yongxin Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Pengfei Xing
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Ping Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yihan Zhou
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xinwen Ren
- The George Institute for Global Health China, Beijing, China
| | - Laurent Billot
- The George Institute for Global Health, Faculty of Medicine, The University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Xia Wang
- The George Institute for Global Health, Faculty of Medicine, The University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Mark W Parsons
- Ingham Institute for Applied Medical Research, Liverpool Hospital, The University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Ken Butcher
- Prince of Wales Clinical School, The University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Thompson Robinson
- Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Mayank Goyal
- Departments of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Diederik Dippel
- Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
| | - Yvo Roos
- Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Charles Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Jianmin Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Craig S Anderson
- The George Institute for Global Health China, Beijing, China.,The George Institute for Global Health, Faculty of Medicine, The University of New South Wales (UNSW), Sydney, NSW, Australia.,Neurology Department, Royal Prince Alfred Hospital, Sydney Health Partners, Sydney, NSW, Australia
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20
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Thornton P, Chang Y, Loboguerrero AM, Campbell B. Perspective: What might it cost to reconfigure food systems? Global Food Security 2023. [DOI: 10.1016/j.gfs.2022.100669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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21
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Al-Shaibi F, Pujara D, Saidi Y, Hassan AE, Abraham MG, sitton C, Shaker F, Duncan KR, Chugh AS, Sundararajan S, Hu Y, Abhishek R, Sila CA, Bambakidis NC, Albers GW, Campbell B, Sarraj A. Abstract WMP91: The Penumbra Salvage Index (PSI) As A Novel Measure Of Successful Reperfusion. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wmp91] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Objective:
We propose a novel measure, the PSI, to evaluate procedural success and prognostication after EVT and compare its prognostic ability with successful reperfusion (mTICI ≥2b).
Methods:
SELECT EVT patients with adequate follow-up MR DWI imaging were stratified based on PSI [ratio of salvaged tissue volume (Tmax >6s volume at baseline – f/up DWI infarct volume) to the Tmax >6s volume at baseline] into good (PSI≥50%) and poor penumbral salvage (PSI<50%). Multivariable regression models examined the association of PSI with functional outcomes as well as predictors of PSI. ROC curve analysis evaluated the predictive ability of PSI and compared it with mTICI≥2b.
Results:
142/206(69%) had good penumbral salvage, with better CT ASPECTS (Good PSI: 9(7-10) vs Poor PSI: 7(6-9),p<0.001), baseline core infarct (Good PSI: 5.9(0.0-20.0)ml vs Poor PSI: 19.4(3.4-46.3)ml, p<0.001) and mTICI≥2b (Good PSI:91% vs Poor PSI: 64%, p<0.001). Good PSI was independently associated with higher odds of mRS 0-2 (Good PSI: 69% vs Poor PSI: 26%, aOR:5.89, 95%CI:2.25-15.45, p<0.001) and mRS 0-1 (Good PSI: 56% vs Poor PSI: 16%, aOR: 4.98, 95%CI:1.86-13.31, p=0.001). Predictors of a good PSI included a lower presenting NIHSS (aOR: 0.93, 95%CI: 0.87-0.99, p=0.026), smaller ischemic core (aOR: 0.96, 95%CI: 0.95-0.98, p<0.001) larger Tmax>6s volume (aOR: 1.01, 95%CI: 1.00-1.02, p=0.003) and mTICI≥2b (aOR: 8.84, 95%CI: 3.16-24.71, p<0.001). PSI demonstrated better AUC values (0.811) as compared to mTICI≥2b (0.786) in the ROC analysis.
Conclusion:
Good penumbral salvage is associated with higher odds of functional independence, and has a better predictive value than successful reperfusion on cerebral angiogram after EVT. Prospective studies are needed to confirm the predictive utility of the PSI.
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Affiliation(s)
| | | | - Yazid Saidi
- Univ Hosps Cleveland Med Cntr, Cleveland, OH
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22
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Pujara D, Churilov L, Hassan AE, Abraham MG, sitton C, Duncan KR, Al-Shaibi F, Shaker F, Sundararajan S, Sila CA, Albers GW, Campbell B, Sarraj A. Abstract WP56: Improvement In Motor And Language Domains Mediates Most Of The Effect Of 24h NIHSS Improvement On Functional Independence. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wp56] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Improvement in NIH stroke scale scores on 24h follow-up is considered a key prognostic element after endovascular thrombectomy (EVT). We aimed to evaluate the proportion of effect of 24h NIHSS improvement on mRS 0-2 at 90d mediated through improvement in motor and language domains.
Methods:
From SELECT study, EVT patients with detailed NIHSS components on presentation and 24h follow-up as well as complete mRS on discharge and 90d were selected. Motor improvement was defined as ≥2 point in cumulative arms and legs score or 0 score at 24h and language improvement was defined as ≥1 point in cumulative aphasia and dysarthria scores at 24h. Mediation analysis framework using 4-step method (Figure 1a) was used to evaluate the effect of 24h NIHSS improvement mediated through improvement in motor and language scores.
Results:
Of 192 eligible EVT patients, 176 demonstrated motor deficits and 187 demonstrated language deficits. 24h NIHSS improvement was significantly associated with mRS 0-2 (aOR:1.15[1.07-1.23], p<0.001) - step 1. 24h NIHSS improvement was also significantly associated with motor (aOR:1.77[1.48-2.12],p<0.001) and speech improvement (aOR:1.25[1.16-1.36],p<0.001) - step 2. In the full model, motor (aOR:3.00[1.07-8.46],p=0.037) and speech improvement (aOR:3.15[1.37-7.27],p=0.007) were significantly associated with mRS 0-2, whereas 24h NIHSS improvement was no longer a significant predictor (aOR:1.05[0.96-1.15],p=0.33) - step 3 of figure 1a. Motor improvement mediated 68% and speech improvement mediated 27% of the association of 24h NIHSS improvement with mRS 0-2 (Figure 1b) - step 4.
Conclusions:
Almost all (~95%) of the effect of 24h NIHSS improvement on functional independence (mRS 0-2) was mediated through specific improvement in motor and language domains, suggesting a large role of improvement in motor and language domains in achieving better functional independence. Further studies are needed to confirm the findings.
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23
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Nimjee SM, Wheeler D, Nelson S, Shea RJ, Sullivan T, Mayer C, Pavliv L, Layzer JM, Lickliter J, Sullenger B, Campbell B, Becker RC. Abstract 94: Randomized, Double-blind, Placebo-controlled Phase 1 Study Of Vwf-binding Aptamer, Bb-031: Safety, Tolerability, Pharmacokinetic And Pharmacodynamic Activity In Healthy Volunteers. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.94] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Von Willebrand Factor (VWF) is a ubiquitous component of thrombi extracted by endovascular thrombectomy from patients with large vessel occlusion (LVO) stroke. BB-031 is a modified RNA aptamer that targets von Willebrand Factor (VWF) that lyses occlusive thrombi and improves outcomes in pre-clinical models of acute ischemic stroke (AIS).
Hypothesis:
BB-031 is safe, tolerable, and inhibits both VWF binding and activity in a dose-dependent manner.
Methods:
Healthy participants were randomized to receive BB-031 or placebo (6:2) by intravenous bolus injection at single ascending doses (SAD) of 0.1, 0.3, 1.0, 2.0 and 4.0 mg/kg (total n=40). Serial Clinical assessment, and blood sample collection for pharmacokinetic (PK) and pharmacodynamic (PD) analysis were performed. Non-compartmental PK analysis was conducted using Phoenix WinNonlin. PD evaluation included measurement of VWF inhibition and whole blood thrombosis (Platelet Function Analyzer [PFA-200]).
Results:
BB-031 was safe and well-tolerated for 28 days following single IV doses up to 4.0 mg/kg. There were no significant adverse events (SAEs), or treatment-emergent adverse events (TEAEs) leading to dose discontinuation. Minor events included bleeding at an IV site in 1 participant, and minor bleeding of an ulcer on the tongue in 1 participant. None of the minor TEAEs were dose-dependent. BB-031 demonstrated nonlinear, dose-dependent plasma PK across the dose range tested, with an apparent mean terminal half-life (t
1/2
) of 18 min at 0.1 mg/kg to 67 min at 4.0 mg/kg. Dose-dependent changes in VWF binding were observed; >95% maximal mean change from baseline was reached following a single IV dose of 4.0 mg/kg. Finally, PFA-200 results showed complete inhibition of clot formation (closing time ≥300 seconds) at all doses tested with a dose-dependent duration of inhibition and return to normal range.
Conclusion:
This first-in-human SAD study of BB-031 demonstrated safety following a single IV dose of 0.1 to 4 mg/kg, and dose-dependent patterns of VWF binding and platelet function changes. These results lay the foundation for future studies in patients suffering from thrombotic conditions including AIS.
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Affiliation(s)
| | | | | | | | | | | | - Leo Pavliv
- Cumberland Pharmaceuticals, Morrisville, NC
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24
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Kataike VM, Ng F, Desmond P, Steward C, Thijs V, Campbell B, Venkatraman V. Abstract WP106: Hemispheric Comparison Of Magnetic Susceptibility 24-72 Hours After Reperfusion. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wp106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Magnetic susceptibility is a radiological contrast mechanism that may provide a measure of oxygenation and contribute to an understanding the pathophysiology of stroke. Currently, there are few studies that have explored magnetic susceptibility in ischemic tissue as a marker of tissue injury. Our study assesses day one ischemic tissue post-reperfusion for changes in magnetic susceptibility and evaluates its relationship with radiological markers of ischemic injury - apparent diffusion coefficient (ADC).
Methods:
In a prospective observational study, thirty-five ischemic stroke patients who underwent endovascular thrombectomy were scanned with MRI (24 – 72 hours after reperfusion) to obtain multi-echo Gradient Echo and DWI images. An experienced neuroradiologist manually delineated ischemic tissue ROIs (region of interest) on DWI images. Contralateral ROIs were obtained using an automated method. The cerebrospinal fluid and regions of haemorrhagic transformation were excluded from the ROIs. A Morphology Enabled Dipole Inversion (MEDI) pipeline was employed to generate Quantitative Susceptibility Mapping (QSM) images, and these were used to quantify magnetic susceptibility. Mean magnetic susceptibility and mean ADC values were measured in these ROIs, and these values were then correlated.
Results:
Mean magnetic susceptibility of the ischemic ROI was significantly higher than that of the contralateral ROI (0.71±11.72 ppb, -5.59±7.30 ppb; p = 0.003). Mean ADC values of the ROI in the ischemic hemisphere were significantly lower than those in the contralateral hemisphere (0.65±0.09 х 10
-3
mm
2
/s, 0.81±0.05 х 10
-3
mm
2
/s; p = 1.31 х 10
-11
). No significant correlation between susceptibility and ADC was found (ρ = -0.278, p = 0.106).
Conclusion:
Magnetic susceptibility in the ischemic tissue is measurable and is elevated when compared to the normal tissue. This may be attributed to the increased oxygen extraction fraction in the ischemic tissue. Further voxel wise analysis and larger longitudinal multi-parametric analysis correlating magnetic susceptibility with other imaging measures of tissue injury over time will help characterise the significance of lesional magnetic susceptibility changes in ischemic tissue.
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Affiliation(s)
| | - Felix Ng
- Neurology, Royal Melbourne Hosp, Parkville, Australia
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25
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Menezes C, Haliem A, Churilov L, Smith KL, Delardes B, Coote S, Easton D, Langenberg F, Beharry J, Yogendrakumar V, Weir LC, Mitchell PJ, Donnan GA, Davis S, Campbell B, Zhao H. Abstract TMP54: Increased Thrombectomy Time Saving From Melbourne Mobile Stroke Unit Operation During Covid-19 Pandemic. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.tmp54] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Mobile stroke units (MSU) have demonstrated major time savings for thrombolysis but mixed evidence for endovascular thrombectomy (EVT). COVID-19 precautions have dramatically slowed EVT workflows across Australia and we therefore aimed to examine the effect of the Melbourne MSU on thrombectomy times before and during the current pandemic.
Methods:
Patients receiving EVT facilitated by the Melbourne MSU from 2017-2021 were compared to non-MSU patients (metropolitan direct and secondary transfer for EVT) admitted to the largest Melbourne EVT centre. Quantile regression analysis was used to calculate the median time difference (50
th
quantile) between MSU and non-MSU patients before and during the pandemic, grouped by patients within an EVT centre ambulance catchment or those outside (who either received inter-hospital transfer or MSU-facilitated bypass to an EVT centre).
Results:
A total of 402 patients (112 MSU) were included. Pre-pandemic, no reduction in dispatch to arterial access time was seen for MSU patients within an EVT centre catchment (median 11min slower, p=0.38). However, a significant time saving was observed during the pandemic (median 29 min faster, p<0.001, p-interaction=0.0065). MSU care reduced hospital arrival to arterial access time by median 19min pre-pandemic vs 40 min during the pandemic, p-interaction<0.001). The pandemic did not alter MSU-related time savings for patients located outside of an EVT centre catchment.
Conclusions:
Melbourne MSU facilitation of EVT during the COVID-19 pandemic resulted in greater time savings for patients located close to a thrombectomy centre, while substantial time savings were maintained for those needing bypass from the local non-EVT hospital. This suggests that MSU operation enables streamlined EVT workflows during the pandemic by providing early pre-hospital notification and interventional angiography activation.
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Affiliation(s)
- Candice Menezes
- Melbourne Brain Cntr, The Univ of Melbourne, Melbourne, Australia
| | - Ahmed Haliem
- Melbourne Brain Cntr, The Univ of Melbourne, Melbourne, Australia
| | | | | | | | - Skye Coote
- Royal Melbourne Hosp, Melbourne, Australia
| | | | | | - James Beharry
- Dept of Neurology, The Royal Melbourne Hopsital, Melbourne, Australia
| | | | | | | | | | - Stephen Davis
- Melbourne Brain Cntr, The Royal Melbourne Hopsital, Melbourne, Australia
| | | | - Henry Zhao
- Royal Melbourne Hosp, Melbourne, Australia
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26
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Haliem A, Menezes CM, churilov L, Smith KL, Delardes B, Coote S, Easton D, Langenberg F, Beharry J, Yogendrakumar V, Weir LC, Mitchell PJ, Donnan GA, Davis S, Campbell B, Zhao H. Abstract WMP47: Low Sensitivity Of Widely Used Emergency Dispatch Algorithm For Thrombectomy Patients - Implications For Mobile Stroke Units. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wmp47] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Widely used emergency dispatch algorithms such as the Advanced Medical Priority Dispatch System (AMPDS) have limited diagnostic accuracy for prehospital diagnosis of stroke. With advent of mobile stroke units (MSU), this inaccuracy prevents optimal dispatch to patients who may benefit. Expedited endovascular thrombectomy (EVT) is a major contributor to net benefit of MSUs. We assessed the accuracy of AMPDS for recognizing stroke in thrombectomy patients in the Australian state of Victoria.
Methods:
We included consecutive patients accepted for EVT (direct and secondary transfer) to The Royal Melbourne Hospital from 2007-2021 in whom linked AMPDS dispatch codes could be obtained from Ambulance Victoria. The primary outcome was the proportion of cases dispatched as stroke vs non-stroke with subgroup analyses of the effect of baseline clinical severity, metropolitan vs rural dispatch and time to thrombectomy. Chi square and Mann Whitney tests were used as appropriate.
Results:
A total of n=618 patients were included with baseline NIHSS 16 (IQR 10-20). Of these, only 62% (95% CI 58-66) were initially dispatched as suspected stroke, with the most common non-stroke diagnoses being “Unconscious/Fainting” (19.2%) and “Falls” (6.9%). Those with a higher baseline severity (NIHSS ≥10) were less likely to be classified as stroke than those with lower severity (59% vs 76%, p<0.001), while no difference was found between metropolitan and rural patients (p=0.066). Overall, no significant time differences were found between stroke and non-stroke dispatches for ambulance dispatch to arterial access (median 208 vs 216 min, p=0.593) or hospital arrival to arterial access (median 42 vs 42 min, p=0.851). However, only 32 patients were treated on the MSU, which commenced operation November 2017.
Conclusions:
Almost 40% of thrombectomy patients did not receive an initial AMPDS dispatch of suspected stroke and those with higher baseline severity were more likely to be misclassified. Although time to thrombectomy was not significantly different between stroke vs non-stroke dispatches, MSU treatment was under-represented. Our findings have implications for emergency medical services and particularly mobile stroke units which rely on accurate stroke dispatch.
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Affiliation(s)
| | | | | | | | | | - Skye Coote
- Royal Melbourne Hosp, Melbourne, Australia
| | | | | | | | | | | | | | | | | | | | - Henry Zhao
- Royal Melbourne Hosp, Melbourne, Australia
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27
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Pham J, Gan C, Dabboucy J, Stella D, Dowling R, Yan B, Bush S, Williams C, Mitchell PJ, Desmond P, Thijs V, Asadi H, Brooks M, Maingard J, Jhamb A, Pavlin-Premrl D, Campbell B, Ng F. Abstract WMP49: Occult Contrast Retention Post-thrombectomy On 24-hour Follow-up CT: Associations And Impact On Imaging Analysis. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wmp49] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
CT performed 24h post-treatment is widely used to assess radiological outcomes in stroke studies. Even without visible hyperattenuation, occult angiographic contrast may persist in the brain and confound Hounsfield Unit-based imaging metrics such as Net Water Uptake (NWU), a measure of cerebral edema based on tissue hypoattenuation. We aimed to assess (1) the presence of retained contrast post-thrombectomy on 24h CT by comparing NWU measurements with and without adjustment for iodine using dual energy CT (DECT), (2) factors associated with amount of retention, and (3) its impact on the accuracy of NWU.
Methods:
In a prospective study of patients with anterior circulation large vessel occlusion who had post-thrombectomy follow-up DECT performed 24h post-treatment from two Comprehensive Stroke Centres (November 2021 to May 2022), NWU was calculated by interside comparison of Hounsfield Units of the infarct lesion and its mirror homolog. Retained contrast was quantified by the difference in NWU values with and without adjustment for iodine. We tested correlation between NWU and tissue swelling using relative hemispheric volume (rHV) and midline shift (MLS). Patients with visible hyperdensities from hemorrhagic transformation or visible contrast retention, and bilateral infarcts were excluded.
Results:
Of 125 patients analysed (median age 71 [IQR 61-80], baseline NIHSS 16 [IQR 9.75-21]), reperfusion (eTICI 2b-3) was achieved in 120 patients (96.8%). NWU measured with iodine adjustment was significantly higher than NWU measured without adjustment (17.1% vs 10.8%, p<0.001). In multivariable median regression analysis, age (p=0.031), number of passes (p<0.001) and having CT perfusion at baseline (p=0.008) were independently associated with amount of retained contrast. NWU measured with iodine adjustment correlated with rHV (p=0.043) and MLS (p=0.033), but NWU without adjustment did not (rHV p=0.350; MLS p=0.347).
Conclusion:
Occult angiographic iodine contrast significantly affects NWU on CT at 24h. Our data suggest adjustment for retained iodine using DECT is required for accurate NWU measures post-thrombectomy. Future studies analysing CT post-thrombectomy should consider the significance of occult contrast retention.
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Affiliation(s)
- Jenny Pham
- The Royal Melbourne Hosp, Melbourne, Australia
| | - Calvin Gan
- The Royal Melbourne Hosp, Melbourne, Australia
| | | | | | | | - Bernard Yan
- The Royal Melbourne Hosp, Melbourne, Australia
| | - Steven Bush
- The Royal Melbourne Hosp, Melbourne, Australia
| | | | | | - Patricia Desmond
- Dept of Radiology, Royal Melbourne Hosp, Univ of Melbourne?., Melbourne, Australia
| | | | | | | | | | | | | | | | - Felix Ng
- The Royal Melbourne Hosp, Melbourne, Australia
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28
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Yogendrakumar V, Churilov L, Guha P, Beharry J, Mitchell PJ, Kleinig TJ, Yassi N, Thijs V, Wu TY, Brown H, Dewey HM, Wijeratne TH, Yan B, Sharma G, Desmond P, Parsons MW, Donnan GA, Davis S, Campbell B. Abstract 92: Tenecteplase Treatment And Thrombus Characteristics Associated With Early Reperfusion -
An EXTEND-IA TNK Trials Analysis. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background:
Intracranial occlusion site, contrast permeability, and clot burden are thrombus characteristics that influence alteplase-associated reperfusion. In this study, we assessed the reperfusion efficacy of tenecteplase and alteplase in subgroups based on these characteristics in a pooled analysis of the EXTEND-IA TNK trials.
Methods:
Patients with large vessel occlusion (LVO) were randomized to treatment with tenecteplase (0.25mg/kg or 0.4mg/kg) or alteplase (0.9mg/kg) prior to thrombectomy. The primary outcome, early reperfusion, was defined as the absence of retrievable thrombus or >50% reperfusion on initial angiographic assessment. We compared the treatment effect of tenecteplase versus alteplase overall, and in subgroups based on intracranial occlusion site, the presence of contrast permeability (measured via residual flow grades), and clot burden (measured via clot burden scores), whilst adjusting for relevant covariates using mixed effects logistic regression models.
Results:
Among the 465 patients in the primary analysis, early reperfusion occurred in 18% (84/465). Tenecteplase was associated with a higher odds of early reperfusion (tenecteplase: 75/369 [20%] vs. alteplase: 9/96 [9%], aOR: 2.18 [95%CI: 1.03-4.63]). The difference between thrombolytics was most notable in distal M1 or M2 occlusions (tenecteplase: 53/176 [30%] vs. alteplase: 4/42 [10%], aOR: 3.73 [95%CI: 1.25-11.11]), thrombi with contrast permeability (tenecteplase: 38/160 [24%] vs. alteplase: 5/48 [10%], aOR: 2.83 [95%CI: 1.00-8.05]), and in low clot burden occlusions (tenecteplase: 66/261 [25%] vs. alteplase: 5/67 [7%], aOR: 3.93 [95%CI: 1.50-10.33]). Both thrombolytics had limited early reperfusion efficacy in proximal occlusions (ICA: tenecteplase 1/73 [1%] vs. alteplase 1/19 [5%]) and in high clot burden occlusions (tenecteplase: 9/108 [8%] vs. alteplase: 4/29 [14%], aOR: 0.58 [95%CI: 0.16-2.06]).
Conclusions:
Tenecteplase demonstrates superior early reperfusion versus alteplase in distal LVO, in contrast-permeable thrombi, and in lesions with low clot burden. Reperfusion efficacy remains limited in ICA occlusions and lesions with high clot burden. Further improvements in intravenous thrombolytics are required.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Teddy Y Wu
- Christchurch Hosp, Christchurch, New Zealand
| | - Helen Brown
- Princess Alexandra Hosp, Woolloongabba, Australia
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29
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Yang P, Song L, Zhang Y, Zhang X, Chen X, Li Y, Sun L, Wan Y, Billot L, Li Q, Ren X, Shen H, Zhang L, Li Z, Xing P, Zhang Y, Zhang P, Hua W, Shen F, Zhou Y, Tian B, Chen W, Han H, Zhang L, Xu C, Li T, Peng Y, Yue X, Chen S, Wen C, Wan S, Yin C, Wei M, Shu H, Nan G, Liu S, Liu W, Cai Y, Sui Y, Chen M, Zhou Y, Zuo Q, Dai D, Zhao R, Li Q, Huang Q, Xu Y, Deng B, Wu T, Lu J, Wang X, Parsons MW, Butcher K, Campbell B, Robinson TG, Goyal M, Dippel D, Roos Y, Majoie C, Wang L, Wang Y, Liu J, Anderson CS. Intensive blood pressure control after endovascular thrombectomy for acute ischaemic stroke (ENCHANTED2/MT): a multicentre, open-label, blinded-endpoint, randomised controlled trial. Lancet 2022; 400:1585-1596. [PMID: 36341753 DOI: 10.1016/s0140-6736(22)01882-7] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 09/14/2022] [Accepted: 09/21/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND The optimum systolic blood pressure after endovascular thrombectomy for acute ischaemic stroke is uncertain. We aimed to compare the safety and efficacy of blood pressure lowering treatment according to more intensive versus less intensive treatment targets in patients with elevated blood pressure after reperfusion with endovascular treatment. METHODS We conducted an open-label, blinded-endpoint, randomised controlled trial at 44 tertiary-level hospitals in China. Eligible patients (aged ≥18 years) had persistently elevated systolic blood pressure (≥140 mm Hg for >10 min) following successful reperfusion with endovascular thrombectomy for acute ischaemic stroke from any intracranial large-vessel occlusion. Patients were randomly assigned (1:1, by a central, web-based program with a minimisation algorithm) to more intensive treatment (systolic blood pressure target <120 mm Hg) or less intensive treatment (target 140-180 mm Hg) to be achieved within 1 h and sustained for 72 h. The primary efficacy outcome was functional recovery, assessed according to the distribution in scores on the modified Rankin scale (range 0 [no symptoms] to 6 [death]) at 90 days. Analyses were done according to the modified intention-to-treat principle. Efficacy analyses were performed with proportional odds logistic regression with adjustment for treatment allocation as a fixed effect, site as a random effect, and baseline prognostic factors, and included all randomly assigned patients who provided consent and had available data for the primary outcome. The safety analysis included all randomly assigned patients. The treatment effects were expressed as odds ratios (ORs). This trial is registered at ClinicalTrials.gov, NCT04140110, and the Chinese Clinical Trial Registry, 1900027785; recruitment has stopped at all participating centres. FINDINGS Between July 20, 2020, and March 7, 2022, 821 patients were randomly assigned. The trial was stopped after review of the outcome data on June 22, 2022, due to persistent efficacy and safety concerns. 407 participants were assigned to the more intensive treatment group and 409 to the less intensive treatment group, of whom 404 patients in the more intensive treatment group and 406 patients in the less intensive treatment group had primary outcome data available. The likelihood of poor functional outcome was greater in the more intensive treatment group than the less intensive treatment group (common OR 1·37 [95% CI 1·07-1·76]). Compared with the less intensive treatment group, the more intensive treatment group had more early neurological deterioration (common OR 1·53 [95% 1·18-1·97]) and major disability at 90 days (OR 2·07 [95% CI 1·47-2·93]) but there were no significant differences in symptomatic intracerebral haemorrhage. There were no significant differences in serious adverse events or mortality between groups. INTERPRETATION Intensive control of systolic blood pressure to lower than 120 mm Hg should be avoided to prevent compromising the functional recovery of patients who have received endovascular thrombectomy for acute ischaemic stroke due to intracranial large-vessel occlusion. FUNDING The Shanghai Hospital Development Center; National Health and Medical Research Council of Australia; Medical Research Futures Fund of Australia; China Stroke Prevention; Shanghai Changhai Hospital, Science and Technology Commission of Shanghai Municipality; Takeda China; Hasten Biopharmaceutic; Genesis Medtech; Penumbra.
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Affiliation(s)
- Pengfei Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China; Changhai Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lili Song
- The George Institute for Global Health China, Beijing, China; Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Yongwei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China; Changhai Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xiaoxi Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xiaoying Chen
- The George Institute for Global Health China, Beijing, China; Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Yunke Li
- The George Institute for Global Health China, Beijing, China
| | - Lingli Sun
- The George Institute for Global Health China, Beijing, China
| | - Yingfeng Wan
- The George Institute for Global Health China, Beijing, China
| | - Laurent Billot
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Qiang Li
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Xinwen Ren
- The George Institute for Global Health China, Beijing, China
| | - Hongjian Shen
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zifu Li
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Pengfei Xing
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yongxin Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Ping Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Weilong Hua
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Fang Shen
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yihan Zhou
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Bing Tian
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Wenhuo Chen
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China
| | - Hongxing Han
- Department of Neurology, Linyi People's Hospital, Linyi, China
| | - Liyong Zhang
- Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, China
| | - Chenghua Xu
- Department of Neurology, Taizhou First People's Hospital, Taizhou, China
| | - Tong Li
- Department of Neurology, The Second People's Hospital of Nanning, Nanning, China
| | - Ya Peng
- Department of Neurosurgery, The First People's Hospital of Changzhou, Changzhou, China
| | - Xincan Yue
- Neurosurgical Intensive Care Unit, Zhoukou Central Hospital, Zhoukou, China
| | - Shengli Chen
- Department of Neurology, Chongqing Three Gorges University Hospital, Chongqing, China
| | - Changming Wen
- Department of Neurology, Nanyang Central Hospital of Xinxiang Medical University, Nanyang, China
| | - Shu Wan
- Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Congguo Yin
- Department of Neurology, Hangzhou First People's Hospital, Hangzhou, China
| | - Ming Wei
- Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China
| | - Hansheng Shu
- Department of Neurosurgery, The Second Affiliated Hospital of Beng Bu Medical College, Bengbu, China
| | - Guangxian Nan
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Sheng Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenhua Liu
- Department of Neurology, Wuhan No 1 Hospital, Wuhan, China
| | - Yiling Cai
- Department of Neurology, Strategic Support Force Medical Center, Beijing, China
| | - Yi Sui
- Department of Neurology, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang, China
| | - Maohua Chen
- Department of Neurosurgery, Wenzhou Central Hospital, Wenzhou, China
| | - Yu Zhou
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Qiao Zuo
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Dongwei Dai
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Rui Zhao
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Qiang Li
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Qinghai Huang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yi Xu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Benqiang Deng
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Tao Wu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xia Wang
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Mark W Parsons
- Ingham Institute for Applied Medical Research, Liverpool Hospital, University of New South Wales, Sydney, NSW, Australia
| | - Ken Butcher
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Bruce Campbell
- Melbourne Brain Centre, University of Melbourne, Melbourne, VIC, Australia
| | - Thompson G Robinson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; National Institute of Health and Care Research Leicester Biomedical Research Centre, Leicester, UK
| | - Mayank Goyal
- Department of Radiology and Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Diederik Dippel
- Department of Neurology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Yvo Roos
- Department of Neurology, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Charles Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Longde Wang
- The General Office of Stroke Prevention Project Committee, National Health Commission of the People's Republic of China, Beijing, China
| | - Yongjun Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianmin Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China; Changhai Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China.
| | - Craig S Anderson
- The George Institute for Global Health China, Beijing, China; Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
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30
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Sedrakyan A, Marinac-Dabic D, Campbell B, Aryal S, Baird CE, Goodney P, Cronenwett JL, Beck AW, Paxton EW, Hu J, Brindis R, Baskin K, Cowley T, Levy J, Liebeskind DS, Poulose BK, Rardin CR, Resnic FS, Tcheng J, Fisher B, Viviano C, Devlin V, Sheldon M, Eldrup-Jorgensen J, Berlin JA, Drozda J, Matheny ME, Dhruva SS, Feeney T, Mitchell K, Pappas G. Advancing the Real-World Evidence for Medical Devices through Coordinated Registry Networks. BMJ Surg Interv Health Technologies 2022; 4:e000123. [PMID: 36393894 PMCID: PMC9660584 DOI: 10.1136/bmjsit-2021-000123] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/31/2021] [Indexed: 11/16/2022] Open
Abstract
ObjectivesGenerating and using real-world evidence (RWE) is a pragmatic solution for evaluating health technologies. RWE is recognized by regulators, health technology assessors, clinicians, and manufacturers as a valid source of information to support their decision-making. Well-designed registries can provide RWE and become more powerful when linked with electronic health records and administrative databases in coordinated registry networks (CRNs). Our objective was to create a framework of maturity of CRNs and registries, so guiding their development and the prioritization of funding.Design, setting, and participantsWe invited 52 stakeholders from diverse backgrounds including patient advocacy groups, academic, clinical, industry and regulatory experts to participate on a Delphi survey. Of those invited, 42 participated in the survey to provide feedback on the maturity framework for CRNs and registries. An expert panel reviewed the responses to refine the framework until the target consensus of 80% was reached. Two rounds of the Delphi were distributed via Qualtrics online platform from July to August 2020 and from October to November 2020.Main outcome measuresConsensus on the maturity framework for CRNs and registries consisted of seven domains (unique device identification, efficient data collection, data quality, product life cycle approach, governance and sustainability, quality improvement, and patient-reported outcomes), each presented with five levels of maturity.ResultsOf 52 invited experts, 41 (79.9%) responded to round 1; all 41 responded to round 2; and consensus was reached for most domains. The expert panel resolved the disagreements and final consensus estimates ranged from 80.5% to 92.7% for seven domains.ConclusionsWe have developed a robust framework to assess the maturity of any CRN (or registry) to provide reliable RWE. This framework will promote harmonization of approaches to RWE generation across different disciplines and health systems. The domains and their levels may evolve over time as new solutions become available.
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Affiliation(s)
- Art Sedrakyan
- Department of Population Health Sciences; Medical Devices Epidemiology Network (MDEpiNet) Coordinating Center, Weill Cornell Medical College, New York, New York, USA
| | - Danica Marinac-Dabic
- Center for Devices and Radiological Health (CDRH), US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Bruce Campbell
- Vascular Surgery, University of Exeter Medical School, Exter, UK
| | - Suvekshya Aryal
- Department of Population Health Sciences; Medical Devices Epidemiology Network (MDEpiNet) Coordinating Center, Weill Cornell Medical College, New York, New York, USA
| | - Courtney E Baird
- Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Philip Goodney
- Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Jack L Cronenwett
- Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Adam W Beck
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama, Birmingham, Alabama, USA
| | - Elizabeth W Paxton
- Surgical Outcomes and Analysis, Kaiser Permanente, Harbor City, California, USA
| | - Jim Hu
- Department of Urology, Weill Cornell Medical College, New York, New York, USA
| | - Ralph Brindis
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, California, USA
| | - Kevin Baskin
- Vascular and Interventional Radiology, Conemaugh Memorial Medical Center, Johnstown, Pennsylvania, USA
| | | | - Jeffery Levy
- Robotic Surgery, Institute of Surgical Excellence, Philadelphia, Pennsylvania, USA
| | - David S Liebeskind
- Department of Neurology, Stroke Center, University of California Los Angeles, Los Angeles, California, USA
| | - Benjamin K Poulose
- Center for Abdominal Core Health, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Charles R Rardin
- Department of Obstetrics and Gyencology, Women and Infants Hospital of Rhode Island, Providence, Rhode Island, USA
| | - Frederic S Resnic
- Department of Cardiology, Comparative Effective Research Institute, Lahey Hospital and Medical Center, Burlington, Massachusetts, USA
| | - James Tcheng
- Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina, USA
| | - Benjamin Fisher
- Center for Devices and Radiological Health (CDRH), US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Charles Viviano
- Center for Devices and Radiological Health (CDRH), US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Vincent Devlin
- Center for Devices and Radiological Health (CDRH), US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Murray Sheldon
- Center for Devices and Radiological Health (CDRH), US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Jens Eldrup-Jorgensen
- Vascular Surgery, Maine Medical Center, Portland, Maine, USA
- Surgery, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Jesse A Berlin
- Global Epidemiology, Johnson and Johnson Limited, New Brunswick, New Jersey, USA
| | - Joseph Drozda
- Outcomes Research, Mercy Health, St. Louis, Missouri, USA
| | - Michael E Matheny
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sanket S Dhruva
- Department of Medicine, University of California San Francisco School of Medicine, San Francisco, California, USA
| | - Timothy Feeney
- Department of Surgery, Boston University, Boston, Massachusetts, USA
| | | | - Gregory Pappas
- Center for Biologicals Evaluation and Research (CBER), US Food and Drug Administration, Silver Spring, Maryland, USA
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Sedbon M, Campbell BD, Samsel F, Campbell B, Samsel F. Michael Sedbon: Explorations in Coupling Artificial and Natural Systems. IEEE Comput Graph Appl 2022; 42:58-63. [PMID: 37015715 DOI: 10.1109/mcg.2022.3207603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
As a timely artist investigating the potential of coupling natural systems with silicon-based systems, Michael Sedbon's work suggests a unique perspective on the relationship of manmade information processing technologies to computing, intelligence, and consciousness found in nature. His hope for a better world through building systems based on biomimicry exploration piqued our interest as we interviewed him for this article.
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Dalton EJ, Lannin NA, Campbell B, Churilov L, Hayward KS. Enhancing generalisability of stroke clinical trial results: illustrations from upper limb motor recovery trials. Int J Stroke 2022; 18:532-542. [PMID: 36274591 DOI: 10.1177/17474930221135730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction: Broadening eligibility criteria has been a focus to increase the generalisability of trial findings. Using upper limb motor trials conducted early post-stroke as the illustrative domain, we sought to (a) investigate whether the published aim and conclusion statements adequately reflect the generalisability of findings and, (b) explore internal validity and feasibility as constraints to achieving generalisability. Methods: We systematically applied a conceptual model of a trial sampling process to published literature from systematic review and prospective cross-sectional data. The eligibility criteria reported and used to exclude patients were classified by consensus as related to safety, internal validity, feasibility, or a combination thereof. Categorical data were reported as counts/proportions and continuous data were reported as median (IQR). Results: Thirty trials (n=1,638 participants) were included in the published literature and 1,013 patients in the prospective dataset. Thirty-seven per cent of trials did not describe their target population in the aim and conclusion, and 80% did not report all trial screening data. Eligibility criteria related to internal validity were the most common type reported and applied to exclude patients across both datasets. In the prospective dataset, 70% of patients were excluded for more than one reason. Conclusion: Key information to support the generalisability of trial findings was insufficiently reported in published upper limb motor research conducted early post-stroke. Broadening eligibility criteria alone is unlikely to sufficiently improve trial inclusivity due to internal validity constraints. Trials could achieve inclusivity through targeting multiple subpopulations, that in combination, produce clinically relevant results that are applicable to a broader population.
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Affiliation(s)
- Emily J Dalton
- Melbourne School of Health Sciences, University of Melbourne
| | - Natasha A. Lannin
- Department of Neurosciences, Central Clinical School, Monash University
- Department of Occupational Therapy, Alfred Health
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne
| | | | - Kathryn S Hayward
- Departments of Physiotherapy, Medicine, and Florey Institute of Neuroscience and Mental Health, University of Melbourne
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Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P. Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nat Med 2022; 28:2218. [PMID: 35962208 DOI: 10.1038/s41591-022-01951-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Baptiste Vasey
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK. .,Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. .,Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Myura Nagendran
- UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK
| | - Bruce Campbell
- University of Exeter Medical School, Exeter, UK.,Royal Devon and Exeter Hospital, Exeter, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK.,British Heart Foundation Data Science Centre, London, UK.,Health Data Research UK, London, UK.,UCL Hospitals Biomedical Research Centre, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.,Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Livia Faes
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Bart Geerts
- Healthplus.ai-R&D BV, Amsterdam, The Netherlands
| | - Mudathir Ibrahim
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.,Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK.,The Wellcome Trust, London, UK.,The Alan Turing Institute, London, UK
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa D McCradden
- The Hospital for Sick Children, Toronto ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto ON, Canada
| | | | - Johan Ordish
- Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Suchi Saria
- Departments of Computer Science, Statistics, and Health Policy, and Division of Informatics, Johns Hopkins University, Baltimore, MD, USA.,Bayesian Health, New York, NY, USA
| | - Daniel S W Ting
- Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,NIHR Biomedical Research Centre Oxford, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | | | - Peter McCulloch
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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Shoamanesh A, Mundl H, Smith EE, Masjuan J, Milanov I, Hirano T, Agafina A, Campbell B, Caso V, Mas JL, Dong Q, Turcani P, Christensen H, Ferro JM, Veltkamp R, Mikulik R, De Marchis GM, Robinson T, Lemmens R, Stepien A, Greisenegger S, Roine R, Csiba L, Khatri P, Coutinho J, Lindgren AG, Demchuk AM, Colorado P, Kirsch B, Neumann C, Heenan L, Xu L, Connolly SJ, Hart RG. Factor XIa inhibition with asundexian after acute non-cardioembolic ischaemic stroke (PACIFIC-Stroke): an international, randomised, double-blind, placebo-controlled, phase 2b trial. Lancet 2022; 400:997-1007. [PMID: 36063821 DOI: 10.1016/s0140-6736(22)01588-4] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Asundexian (Bayer AG, Leverkusen, Germany), an oral small molecule factor XIa (FXIa) inhibitor, might prevent thrombosis without increasing bleeding. Asundexian's effect for secondary prevention of recurrent stroke is unknown. METHODS In this randomised, double-blind, placebo-controlled, phase 2b dose-finding trial (PACIFIC-Stroke), patients with acute (within 48 h) non-cardioembolic ischaemic stroke were recruited from 196 hospitals in 23 countries. Patients were eligible if they were aged 45 years or older, to be treated with antiplatelet therapy, and able to have a baseline MRI (either before or within 72 h of randomisation). Eligible participants were randomly assigned (1:1:1:1), using an interactive web-based response system and stratified according to anticipated antiplatelet therapy (single vs dual), to once daily oral asundexian (BAY 2433334) 10 mg, 20 mg, or 50 mg, or placebo in addition to usual antiplatelet therapy, and were followed up during treatment for 26-52 weeks. Brain MRIs were obtained at study entry and at 26 weeks or as soon as possible after treatment discontinuation. The primary efficacy outcome was the dose-response effect on the composite of incident MRI-detected covert brain infarcts and recurrent symptomatic ischaemic stroke at or before 26 weeks after randomisation. The primary safety outcome was major or clinically relevant non-major bleeding as defined by International Society on Thrombosis and Haemostasis criteria. The efficacy outcome was assessed in all participants assigned to treatment, and the safety outcome was assessed in all participants who received at least one dose of study treatment. This study is registered with ClinicalTrials.gov, NCT04304508, and is now complete. FINDINGS Between June 15, 2020, and July 22, 2021, 1880 patients were screened and 1808 participants were randomly assigned to asundexian 10 mg (n=455), 20 mg (n=450), or 50 mg (n=447), or placebo (n=456). Mean age was 67 years (SD 10) and 615 (34%) participants were women, 1193 (66%) were men, 1505 (83%) were White, and 268 (15%) were Asian. The mean time from index stroke to randomisation was 36 h (SD 10) and median baseline National Institutes of Health Stroke Scale score was 2·0 (IQR 1·0-4·0). 783 (43%) participants received dual antiplatelet treatment for a mean duration of 70·1 days (SD 113·4) after randomisation. At 26 weeks, the primary efficacy outcome was observed in 87 (19%) of 456 participants in the placebo group versus 86 (19%) of 455 in the asundexian 10 mg group (crude incidence ratio 0·99 [90% CI 0·79-1·24]), 99 (22%) of 450 in the asundexian 20 mg group (1·15 [0·93-1·43]), and 90 (20%) of 447 in the asundexian 50 mg group (1·06 [0·85-1·32]; t statistic -0·68; p=0·80). The primary safety outcome was observed in 11 (2%) of 452 participants in the placebo group versus 19 (4%) of 445 in the asundexian 10 mg group, 14 (3%) of 446 in the asundexian 20 mg group, and 19 (4%) of 443 in the asundexian 50 mg group (all asundexian doses pooled vs placebo hazard ratio 1·57 [90% CI 0·91-2·71]). INTERPRETATION In this phase 2b trial, FXIa inhibition with asundexian did not reduce the composite of covert brain infarction or ischaemic stroke and did not increase the composite of major or clinically relevant non-major bleeding compared with placebo in patients with acute, non-cardioembolic ischaemic stroke. FUNDING Bayer AG.
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Affiliation(s)
- Ashkan Shoamanesh
- Division of Neurology, McMaster University, Population Health Research Institute, Hamilton, ON, Canada.
| | - Hardi Mundl
- TA Thrombosis and Vascular Medicine, Bayer AG, Wuppertal, Germany
| | - Eric E Smith
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jaime Masjuan
- Neurology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain; Departamento de Medicina, Facultad de Medicina, Universidad de Alcalá, IRYCIS, RICORS-ICTUS, Madrid, Spain
| | - Ivan Milanov
- Medical University, University Hospital for Neurology and Psychiatry "St Naum", Sofia, Bulgaria
| | - Teruyuki Hirano
- Department of Stroke and Cerebrovascular Medicine, School of Medicine, Kyorin University, Tokyo, Japan
| | - Alina Agafina
- Clinical Research Department, City Hospital #40, Saint Petersburg, Russia
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Valeria Caso
- Stroke Unit, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Jean-Louis Mas
- Department of Neurology, GHU Paris, Hôpital Sainte-Anne, Université Paris-Cité, Inserm U1266, Paris, France
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Peter Turcani
- 1st Department of Neurology, Medical Faculty, Comenius University, Bratislava, Slovakia
| | - Hanne Christensen
- Department of Neurology, University Hospital of Copenhagen, Bispebjerg, Denmark
| | - Jose M Ferro
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Roland Veltkamp
- Neurology Department, Alfried-Krupp Hospital, Essen, Germany
| | - Robert Mikulik
- International Clinical Research Center and Neurology Department, St Anne's University Hospital, Brno, Czech Republic; Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital of Basel and University of Basel, Basel, Switzerland
| | | | - Robin Lemmens
- Department of Neurosciences, Experimental Neurology, KU Leuven - University of Leuven, Leuven, Belgium; VIB-KU Leuven Center for Brain and Disease Research, Leuven, Belgium; Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Adam Stepien
- Department of Neurology, Military Institute of Medicine, Warsaw, Poland
| | | | - Risto Roine
- Division of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Laszlo Csiba
- DE Clinical Center (DEKK), Health Service Units, Clinics, Department of Neurology, University of Debrecen, Debrecen, Hungary
| | - Pooja Khatri
- Department of Neurology and Rehabilitation Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Jonathan Coutinho
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Arne G Lindgren
- Department of Clinical Sciences Lund (Neurology), Lund University, Lund, Sweden; Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Bodo Kirsch
- Statistics and Data Insights, Bayer AG, Berlin, Germany
| | | | - Laura Heenan
- Department of Statistics, McMaster University, Population Health Research Institute, Hamilton, ON, Canada
| | - Lizhen Xu
- Department of Statistics, McMaster University, Population Health Research Institute, Hamilton, ON, Canada
| | - Stuart J Connolly
- Department of Medicine, McMaster University, Population Health Research Institute, Hamilton, ON, Canada
| | - Robert G Hart
- Division of Neurology, McMaster University, Population Health Research Institute, Hamilton, ON, Canada
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Xu J, Xie Y, Fang K, Wang X, Chen S, Liu X, Zhao Y, Guan Y, Cai D, Li G, Liu JM, Liu J, Zhuang J, Xian Y, Shen H, Li H, Wang D, Campbell B, Parsons MW, Dong Y, Dong Q. Effect of the Shanghai Stroke Service System (4S) on the Quality of Stroke Care and Outcomes: A Prospective Quality Improvement Project. Int J Stroke 2022; 18:599-606. [PMID: 36082948 DOI: 10.1177/17474930221125993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND In China, disparities in the quality of stroke care still exist and implementing quality improvement is still a challenge. AIMS To determine whether the intervention by Shanghai Stroke Service System (4S) has helped to improve adherence to stroke-care guidelines and patient outcome. METHODS 4S is a regional stroke network with real-time data extraction among its 61 stroke centers in Shanghai. A total of 11 key performance indicators (KPIs) were evaluated. The primary outcomes were a composite measure and an all-or-none measure of adherence to 11 KPIs. The secondary outcomes were length of hospital stay and in-hospital mortality. RESULTS The study enrolled 92,395 patients (mean age 69.0±12.5 years, 65.2% men) with acute ischemic stroke hospitalized within 7 days of onset in Shanghai from January 2015 to December 2020. More patients received guideline recommended care between 2018-2020 than those between 2015-2017 (composite measure 87.1% vs 83.6%; absolute difference 2.9%, 95%CI [2.7% to 3.2%], P<0.001; all-or-none measure 49.2% vs 44.8% patients; absolute difference 3.5%, 95%CI [2.7% to 4.2%], P<0.001). Further analysis of individual KPIs showed an absolute increase in 6 KPIs ranging from 3.4% to 8.9% (P<0.001 for all comparisons). Compared to 2015-2017, hospital length of stay was shorter (10.95 vs 11.90 days; absolute difference -1.08, 95%CI [-1.18 to -0.99], P<0.001) and in-hospital mortality was significantly reduced (RR 0.88, 95% CI [0.79-0.98]; P=0.01) in 2018-2020. CONCLUSIONS The 4S intervention was associated with increased adherence to the stroke-care guidelines, which further translated to improved clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT02735226.
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Affiliation(s)
- Jiawen Xu
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, China 159397
| | - Yanan Xie
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, China 571257
| | - Kun Fang
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, China 571257
| | - Xin Wang
- Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Shengdi Chen
- Department of Neurology, Ruijin Hospital affiliated to Shanghai Jiaotong University, Shanghai, China 66281
| | - Xueyuan Liu
- Department of Neurology, The Tenth Peoples Hospital affiliated to Shanghai Jiaotong University, Shanghai, China
| | - Yuwu Zhao
- Department of Neurology, The Sixth Peoples Hospital affiliated to Shanghai Jiaotong University, Shanghai, China
| | - Yangtai Guan
- Department of Neurology, RenJi Hospital affiliated to Shanghai Jiaotong University, Shanghai, China
| | - Dingfang Cai
- Department of Neurology, ShuGuang Hospital Affiliated to University of Chinese Medicine, Shanghai, China 66329
| | - Gang Li
- Department of Neurology, Shanghai East Hospital, Shanghai, China
| | - Jian-Min Liu
- Department of Neurology, Shanghai Changhai Hospital, Shanghai, China
| | - Jianren Liu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai, China
| | - Jianhua Zhuang
- Department of Neurology, Shanghai Changzheng Hospital, Shanghai, China 56652
| | - Ying Xian
- Medicine Clinical Research Institute, Duke University, Durham, NC, USA. 3065
| | - Haipeng Shen
- Department of Business and Economics, University of Hong Kong, Hongkong, China
| | - Hao Li
- China National Clinical Research Centre for Neurological Diseases, Beijing, China 608718
| | - David Wang
- Department of Neurology, Neurovascular Division, Barrow Neurological Institute, Phoenix, AZ 85013 USA 115467
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia 85084
| | - Mark W Parsons
- Department of Neurology, Liverpool Hospital, University of New South Wales South Western Sydney Clinical School, Liverpool, Australia 34378
| | - Yi Dong
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, China 159397
| | - Qiang Dong
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, China 159397
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36
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Campbell B, Davies A, Coleridge-Smith P. Who should do diagnostic venous scanning? Phlebology 2022; 37:626-627. [DOI: 10.1177/02683555221122640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Bruce Campbell
- Honorary Vascular Consultant, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | - Alun Davies
- Consultant Vascular Surgeon, Charing Cross Hospital, and Professor of Vascular Surgery, Imperial College, London, UK
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Kouli O, Murray V, Bhatia S, Cambridge WA, Kawka M, Shafi S, Knight SR, Kamarajah SK, McLean KA, Glasbey JC, Khaw RA, Ahmed W, Akhbari M, Baker D, Borakati A, Mills E, Thavayogan R, Yasin I, Raubenheimer K, Ridley W, Sarrami M, Zhang G, Egoroff N, Pockney P, Richards T, Bhangu A, Creagh-Brown B, Edwards M, Harrison EM, Lee M, Nepogodiev D, Pinkney T, Pearse R, Smart N, Vohra R, Sohrabi C, Jamieson A, Nguyen M, Rahman A, English C, Tincknell L, Kakodkar P, Kwek I, Punjabi N, Burns J, Varghese S, Erotocritou M, McGuckin S, Vayalapra S, Dominguez E, Moneim J, Salehi M, Tan HL, Yoong A, Zhu L, Seale B, Nowinka Z, Patel N, Chrisp B, Harris J, Maleyko I, Muneeb F, Gough M, James CE, Skan O, Chowdhury A, Rebuffa N, Khan H, Down B, Fatimah Hussain Q, Adams M, Bailey A, Cullen G, Fu YXJ, McClement B, Taylor A, Aitken S, Bachelet B, Brousse de Gersigny J, Chang C, Khehra B, Lahoud N, Lee Solano M, Louca M, Rozenbroek P, Rozitis E, Agbinya N, Anderson E, Arwi G, Barry I, Batchelor C, Chong T, Choo LY, Clark L, Daniels M, Goh J, Handa A, Hanna J, Huynh L, Jeon A, Kanbour A, Lee A, Lee J, Lee T, Leigh J, Ly D, McGregor F, Moss J, Nejatian M, O'Loughlin E, Ramos I, Sanchez B, Shrivathsa A, Sincari A, Sobhi S, Swart R, Trimboli J, Wignall P, Bourke E, Chong A, Clayton S, Dawson A, Hardy E, Iqbal R, Le L, Mao S, Marinelli I, Metcalfe H, Panicker D, R HH, Ridgway S, Tan HH, Thong S, Van M, Woon S, Woon-Shoo-Tong XS, Yu S, Ali K, Chee J, Chiu C, Chow YW, Duller A, Nagappan P, Ng S, Selvanathan M, Sheridan C, Temple M, Do JE, Dudi-Venkata NN, Humphries E, Li L, Mansour LT, Massy-Westropp C, Fang B, Farbood K, Hong H, Huang Y, Joan M, Koh C, Liu YHA, Mahajan T, Muller E, Park R, Tanudisastro M, Wu JJG, Chopra P, Giang S, Radcliffe S, Thach P, Wallace D, Wilkes A, Chinta SH, Li J, Phan J, Rahman F, Segaran A, Shannon J, Zhang M, Adams N, Bonte A, Choudhry A, Colterjohn N, Croyle JA, Donohue J, Feighery A, Keane A, McNamara D, Munir K, Roche D, Sabnani R, Seligman D, Sharma S, Stickney Z, Suchy H, Tan R, Yordi S, Ahmed I, Aranha M, El Sabawy D, Garwood P, Harnett M, Holohan R, Howard R, Kayyal Y, Krakoski N, Lupo M, McGilberry W, Nepon H, Scoleri Y, Urbina C, Ahmad Fuad MF, Ahmed O, Jaswantlal D, Kelly E, Khan MHT, Naidu D, Neo WX, O'Neill R, Sugrue M, Abbas JD, Abdul-Fattah S, Azlan A, Barry K, Idris NS, Kaka N, Mc Dermott D, Mohammad Nasir MN, Mozo M, Rehal A, Shaikh Yousef M, Wong RH, Curran E, Gardner M, Hogan A, Julka R, Lasser G, Ní Chorráin N, Ting J, Browne R, George S, Janjua Z, Leung Shing V, Megally M, Murphy S, Ravenscroft L, Vedadi A, Vyas V, Bryan A, Sheikh A, Ubhi J, Vannelli K, Vawda A, Adeusi L, Doherty C, Fitzgerald C, Gallagher H, Gill P, Hamza H, Hogan M, Kelly S, Larry J, Lynch P, Mazeni NA, O'Connell R, O'Loghlin R, Singh K, Abbas Syed R, Ali A, Alkandari B, Arnold A, Arora E, Azam R, Breathnach C, Cheema J, Compton M, Curran S, Elliott JA, Jayasamraj O, Mohammed N, Noone A, Pal A, Pandey S, Quinn P, Sheridan R, Siew L, Tan EP, Tio SW, Toh VTR, Walsh M, Yap C, Yassa J, Young T, Agarwal N, Almoosawy SA, Bowen K, Bruce D, Connachan R, Cook A, Daniell A, Elliott M, Fung HKF, Irving A, Laurie S, Lee YJ, Lim ZX, Maddineni S, McClenaghan RE, Muthuganesan V, Ravichandran P, Roberts N, Shaji S, Solt S, Toshney E, Arnold C, Baker O, Belais F, Bojanic C, Byrne M, Chau CYC, De Soysa S, Eldridge M, Fairey M, Fearnhead N, Guéroult A, Ho JSY, Joshi K, Kadiyala N, Khalid S, Khan F, Kumar K, Lewis E, Magee J, Manetta-Jones D, Mann S, McKeown L, Mitrofan C, Mohamed T, Monnickendam A, Ng AYKC, Ortu A, Patel M, Pope T, Pressling S, Purohit K, Saji S, Shah Foridi J, Shah R, Siddiqui SS, Surman K, Utukuri M, Varghese A, Williams CYK, Yang JJ, Billson E, Cheah E, Holmes P, Hussain S, Murdock D, Nicholls A, Patel P, Ramana G, Saleki M, Spence H, Thomas D, Yu C, Abousamra M, Brown C, Conti I, Donnelly A, Durand M, French N, Goan R, O'Kane E, Rubinchik P, Gardiner H, Kempf B, Lai YL, Matthews H, Minford E, Rafferty C, Reid C, Sheridan N, Al Bahri T, Bhoombla N, Rao BM, Titu L, Chatha S, Field C, Gandhi T, Gulati R, Jha R, Jones Sam MT, Karim S, Patel R, Saunders M, Sharma K, Abid S, Heath E, Kurup D, Patel A, Ali M, Cresswell B, Felstead D, Jennings K, Kaluarachchi T, Lazzereschi L, Mayson H, Miah JE, Reinders B, Rosser A, Thomas C, Williams H, Al-Hamid Z, Alsadoun L, Chlubek M, Fernando P, Gaunt E, Gercek Y, Maniar R, Ma R, Matson M, Moore S, Morris A, Nagappan PG, Ratnayake M, Rockall L, Shallcross O, Sinha A, Tan KE, Virdee S, Wenlock R, Donnelly HA, Ghazal R, Hughes I, Liu X, McFadden M, Misbert E, Mogey P, O'Hara A, Peace C, Rainey C, Raja P, Salem M, Salmon J, Tan CH, Alves D, Bahl S, Baker C, Coulthurst J, Koysombat K, Linn T, Rai P, Sharma A, Shergill A, Ahmed M, Ahmed S, Belk LH, Choudhry H, Cummings D, Dixon Y, Dobinson C, Edwards J, Flint J, Franco Da Silva C, Gallie R, Gardener M, Glover T, Greasley M, Hatab A, Howells R, Hussey T, Khan A, Mann A, Morrison H, Ng A, Osmond R, Padmakumar N, Pervaiz F, Prince R, Qureshi A, Sawhney R, Sigurdson B, Stephenson L, Vora K, Zacken A, Cope P, Di Traglia R, Ferarrio I, Hackett N, Healicon R, Horseman L, Lam LI, Meerdink M, Menham D, Murphy R, Nimmo I, Ramaesh A, Rees J, Soame R, Dilaver N, Adebambo D, Brown E, Burt J, Foster K, Kaliyappan L, Knight P, Politis A, Richardson E, Townsend J, Abdi M, Ball M, Easby S, Gill N, Ho E, Iqbal H, Matthews M, Nubi S, Nwokocha JO, Okafor I, Perry G, Sinartio B, Vanukuru N, Walkley D, Welch T, Yates J, Yeshitila N, Bryans K, Campbell B, Gray C, Keys R, Macartney M, Chamberlain G, Khatri A, Kucheria A, Lee STP, Reese G, Roy choudhury J, Tan WYR, Teh JJ, Ting A, Kazi S, Kontovounisios C, Vutipongsatorn K, Amarnath T, Balasubramanian N, Bassett E, Gurung P, Lim J, Panjikkaran A, Sanalla A, Alkoot M, Bacigalupo V, Eardley N, Horton M, Hurry A, Isti C, Maskell P, Nursiah K, Punn G, Salih H, Epanomeritakis E, Foulkes A, Henderson R, Johnston E, McCullough H, McLarnon M, Morrison E, Cheung A, Cho SH, Eriksson F, Hedges J, Low Z, May C, Musto L, Nagi S, Nur S, Salau E, Shabbir S, Thomas MC, Uthayanan L, Vig S, Zaheer M, Zeng G, Ashcroft-Quinn S, Brown R, Hayes J, McConville R, French R, Gilliam A, Sheetal S, Shehzad MU, Bani W, Christie I, Franklyn J, Khan M, Russell J, Smolarek S, Varadarassou R, Ahmed SK, Narayanaswamy S, Sealy J, Shah M, Dodhia V, Manukyan A, O'Hare R, Orbell J, Chung I, Forenc K, Gupta A, Agarwal A, Al Dabbagh A, Bennewith R, Bottomley J, Chu TSM, Chu YYA, Doherty W, Evans B, Hainsworth P, Hosfield T, Li CH, McCullagh I, Mehta A, Thaker A, Thompson B, Virdi A, Walker H, Wilkins E, Dixon C, Hassan MR, Lotca N, Tong KS, Batchelor-Parry H, Chaudhari S, Harris T, Hooper J, Johnson C, Mulvihill C, Nayler J, Olutobi O, Piramanayagam B, Stones K, Sussman M, Weaver C, Alam F, Al Rawi M, Andrew F, Arrayeh A, Azizan N, Hassan A, Iqbal Z, John I, Jones M, Kalake O, Keast M, Nicholas J, Patil A, Powell K, Roberts P, Sabri A, Segue AK, Shah A, Shaik Mohamed SA, Shehadeh A, Shenoy S, Tong A, Upcott M, Vijayasingam D, Anarfi S, Dauncey J, Devindaran A, Havalda P, Komninos G, Mwendwa E, Norman C, Richards J, Urquhart A, Allan J, Cahya E, Hunt H, McWhirter C, Norton R, Roxburgh C, Tan JY, Ali Butt S, Hansdot S, Haq I, Mootien A, Sanchez I, Vainas T, Deliyannis E, Tan M, Vipond M, Chittoor Satish NN, Dattani A, De Carvalho L, Gaston-Grubb M, Karunanithy L, Lowe B, Pace C, Raju K, Roope J, Taylor C, Youssef H, Munro T, Thorn C, Wong KHF, Yunus A, Chawla S, Datta A, Dinesh AA, Field D, Georgi T, Gwozdz A, Hamstead E, Howard N, Isleyen N, Jackson N, Kingdon J, Sagoo KS, Schizas A, Yin L, Aung E, Aung YY, Franklin S, Han SM, Kim WC, Martin Segura A, Rossi M, Ross T, Tirimanna R, Wang B, Zakieh O, Ben-Arzi H, Flach A, Jackson E, Magers S, Olu abara C, Rogers E, Sugden K, Tan H, Veliah S, Walton U, Asif A, Bharwada Y, Bowley D, Broekhuizen A, Cooper L, Evans N, Girdlestone H, Ling C, Mann H, Mehmood N, Mulvenna CL, Rainer N, Trout I, Gujjuri R, Jeyaraman D, Leong E, Singh D, Smith E, Anderton J, Barabas M, Goyal S, Howard D, Joshi A, Mitchell D, Weatherby T, Badminton R, Bird R, Burtle D, Choi NY, Devalia K, Farr E, Fischer F, Fish J, Gunn F, Jacobs D, Johnston P, Kalakoutas A, Lau E, Loo YNAF, Louden H, Makariou N, Mohammadi K, Nayab Y, Ruhomaun S, Ryliskyte R, Saeed M, Shinde P, Sudul M, Theodoropoulou K, Valadao-Spoorenberg J, Vlachou F, Arshad SR, Janmohamed AM, Noor M, Oyerinde O, Saha A, Syed Y, Watkinson W, Ahmadi H, Akintunde A, Alsaady A, Bradley J, Brothwood D, Burton M, Higgs M, Hoyle C, Katsura C, Lathan R, Louani A, Mandalia R, Prihartadi AS, Qaddoura B, Sandland-Taylor L, Thadani S, Thompson A, Walshaw J, Teo S, Ali S, Bawa JH, Fox S, Gargan K, Haider SA, Hanna N, Hatoum A, Khan Z, Krzak AM, Li T, Pitt J, Tan GJS, Ullah Z, Wilson E, Cleaver J, Colman J, Copeland L, Coulson A, Davis P, Faisal H, Hassan F, Hughes JT, Jabr Y, Mahmoud Ali F, Nahaboo Solim ZN, Sangheli A, Shaya S, Thompson R, Cornwall H, De Andres Crespo M, Fay E, Findlay J, Groves E, Jones O, Killen A, Millo J, Thomas S, Ward J, Wilkins M, Zaki F, Zilber E, Bhavra K, Bilolikar A, Charalambous M, Elawad A, Eleni A, Fawdon R, Gibbins A, Livingstone D, Mala D, Oke SE, Padmakumar D, Patsalides MA, Payne D, Ralphs C, Roney A, Sardar N, Stefanova K, Surti F, Timms R, Tosney G, Bannister J, Clement NS, Cullimore V, Kamal F, Lendor J, McKay J, Mcswiggan J, Minhas N, Seneviratne K, Simeen S, Valverde J, Watson N, Bloom I, Dinh TH, Hirniak J, Joseph R, Kansagra M, Lai CKN, Melamed N, Patel J, Randev J, Sedighi T, Shurovi B, Sodhi J, Vadgama N, Abdulla S, Adabavazeh B, Champion A, Chennupati R, Chu K, Devi S, Haji A, Schulz J, Testa F, Davies P, Gurung B, Howell S, Modi P, Pervaiz A, Zahid M, Abdolrazaghi S, Abi Aoun R, Anjum Z, Bawa G, Bhardwaj R, Brown S, Enver M, Gill D, Gopikrishna D, Gurung D, Kanwal A, Kaushal P, Khanna A, Lovell E, McEvoy C, Mirza M, Nabeel S, Naseem S, Pandya K, Perkins R, Pulakal R, Ray M, Reay C, Reilly S, Round A, Seehra J, Shakeel NM, Singh B, Vijay Sukhnani M, Brown L, Desai B, Elzanati H, Godhaniya J, Kavanagh E, Kent J, Kishor A, Liu A, Norwood M, Shaari N, Wood C, Wood M, Brown A, Chellapuri A, Ferriman A, Ghosh I, Kulkarni N, Noton T, Pinto A, Rajesh S, Varghese B, Wenban C, Aly R, Barciela C, Brookes T, Corrin E, Goldsworthy M, Mohamed Azhar MS, Moore J, Nakhuda S, Ng D, Pillay S, Port S, Abdullah M, Akinyemi J, Islam S, Kale A, Lewis A, Manjunath T, McCabe H, Misra S, Stubley T, Tam JP, Waraich N, Chaora T, Ford C, Osinkolu I, Pong G, Rai J, Risquet R, Ainsworth J, Ayandokun P, Barham E, Barrett G, Barry J, Bisson E, Bridges I, Burke D, Cann J, Cloney M, Coates S, Cripps P, Davies C, Francis N, Green S, Handley G, Hathaway D, Hurt L, Jenkins S, Johnston C, Khadka A, McGee U, Morris D, Murray R, Norbury C, Pierrepont Z, Richards C, Ross O, Ruddy A, Salmon C, Shield M, Soanes K, Spencer N, Taverner S, Williams C, Wills-Wood W, Woodward S, Chow J, Fan J, Guest O, Hunter I, Moon WY, Arthur-Quarm S, Edwards P, Hamlyn V, McEneaney L, N D G, Pranoy S, Ting M, Abada S, Alawattegama LH, Ashok A, Carey C, Gogna A, Haglund C, Hurley P, Leelo N, Liu B, Mannan F, Paramjothy K, Ramlogan K, Raymond-Hayling O, Shanmugarajah A, Solichan D, Wilkinson B, Ahmad NA, Allan D, Amin A, Bakina C, Burns F, Cameron F, Campbell A, Cavanagh S, Chan SMZ, Chapman S, Chong V, Edelsten E, Ekpete O, El Sheikh M, Ghose R, Hassane A, Henderson C, Hilton-Christie S, Husain M, Hussain H, Javid Z, Johnson-Ogbuneke J, Johnston A, Khalil M, Leung TCC, Makin I, Muralidharan V, Naeem M, Patil P, Ravichandran S, Saraeva D, Shankey-Smith W, Sharma N, Swan R, Waudby-West R, Wilkinson A, Wright K, Balasubramanian A, Bhatti S, Chalkley M, Chou WK, Dixon M, Evans L, Fisher K, Gandhi P, Ho S, Lau YB, Lowe S, Meechan C, Murali N, Musonda C, Njoku P, Ochieng L, Pervez MU, Seebah K, Shaikh I, Sikder MA, Vanker R, Alom J, Bajaj V, Coleman O, Finch G, Goss J, Jenkins C, Kontothanassis A, Liew MS, Ng K, Outram M, Shakeel MM, Tawn J, Zuhairy S, Chapple K, Cinnamond A, Coleman S, George HA, Goulder L, Hare N, Hawksley J, Kret A, Luesley A, Mecia L, Porter H, Puddy E, Richardson G, Sohail B, Srikaran V, Tadross D, Tobin J, Tokidis E, Young L, Ashdown T, Bratsos S, Koomson A, Kufuor A, Lim MQ, Shah S, Thorne EPC, Warusavitarne J, Xu S, Abigail S, Ahmed A, Ahmed J, Akmal A, Al-Khafaji M, Amini B, Arshad M, Bogie E, Brazkiewicz M, Carroll M, Chandegra A, Cirelli C, Deng A, Fairclough S, Fung YJ, Gornell C, Green RL, Green SV, Gulamhussein AHM, Isaac AG, Jan R, Jegatheeswaran L, Knee M, Kotecha J, Kotecha S, Maxwell-Armstrong C, McIntyre C, Mendis N, Naing TKP, Oberman J, Ong ZX, Ramalingam A, Saeed Adam A, Tan LL, Towell S, Yadav J, Anandampillai R, Chung S, Hounat A, Ibrahim B, Jeyakumar G, Khalil A, Khan UA, Nair G, Owusu-Ayim M, Wilson M, Kanani A, Kilkelly B, Ogunmwonyi I, Ong L, Samra B, Schomerus L, Shea J, Turner O, Yang Y, Amin M, Blott N, Clark A, Feather A, Forrest M, Hague S, Hamilton K, Higginbotham G, Hope E, Karimian S, Loveday K, Malik H, McKenna O, Noor A, Onsiong C, Patel B, Radcliffe N, Shah P, Tye L, Verma K, Walford R, Yusufi U, Zachariah M, Casey A, Doré C, Fludder V, Fortescue L, Kalapu SS, Karel E, Khera G, Smith C, Appleton B, Ashaye A, Boggon E, Evans A, Faris Mahmood H, Hinchcliffe Z, Marei O, Silva I, Spooner C, Thomas G, Timlin M, Wellington J, Yao SL, Abdelrazek M, Abdelrazik Y, Bee F, Joseph A, Mounce A, Parry G, Vignarajah N, Biddles D, Creissen A, Kolhe S, K T, Lea A, Ledda V, O'Loughlin P, Scanlon J, Shetty N, Weller C, Abdalla M, Adeoye A, Bhatti M, Chadda KR, Chu J, Elhakim H, Foster-Davies H, Rabie M, Tailor B, Webb S, Abdelrahim ASA, Choo SY, Jiwa A, Mangam S, Murray S, Shandramohan A, Aghanenu O, Budd W, Hayre J, Khanom S, Liew ZY, McKinney R, Moody N, Muhammad-Kamal H, Odogwu J, Patel D, Roy C, Sattar Z, Shahrokhi N, Sinha I, Thomson E, Wonga L, Bain J, Khan J, Ricardo D, Bevis R, Cherry C, Darkwa S, Drew W, Griffiths E, Konda N, Madani D, Mak JKC, Meda B, Odunukwe U, Preest G, Raheel F, Rajaseharan A, Ramgopal A, Risbrooke C, Selvaratnam K, Sethunath G, Tabassum R, Taylor J, Thakker A, Wijesingha N, Wybrew R, Yasin T, Ahmed Osman A, Alfadhel S, Carberry E, Chen JY, Drake I, Glen P, Jayasuriya N, Kawar L, Myatt R, Sinan LOH, Siu SSY, Tjen V, Adeboyejo O, Bacon H, Barnes R, Birnie C, D'Cunha Kamath A, Hughes E, Middleton S, Owen R, Schofield E, Short C, Smith R, Wang H, Willett M, Zimmerman M, Balfour J, Chadwick T, Coombe-Jones M, Do Le HP, Faulkner G, Hobson K, Shehata Z, Beattie M, Chmielewski G, Chong C, Donnelly B, Drusch B, Ellis J, Farrelly C, Feyi-Waboso J, Hibell I, Hoade L, Ho C, Jones H, Kodiatt B, Lidder P, Ni Cheallaigh L, Norman R, Patabendi I, Penfold H, Playfair M, Pomeroy S, Ralph C, Rottenburg H, Sebastian J, Sheehan M, Stanley V, Welchman J, Ajdarpasic D, Antypas A, Azouaghe O, Basi S, Bettoli G, Bhattarai S, Bommireddy L, Bourne K, Budding J, Cookey-Bresi R, Cummins T, Davies G, Fabelurin C, Gwilliam R, Hanley J, Hird A, Kruczynska A, Langhorne B, Lund J, Lutchman I, McGuinness R, Neary M, Pampapathi S, Pang E, Podbicanin S, Rai N, Redhouse White G, Sujith J, Thomas P, Walker I, Winterton R, Anderson P, Barrington M, Bhadra K, Clark G, Fowler G, Gibson C, Hudson S, Kaminskaite V, Lawday S, Longshaw A, MacKrill E, McLachlan F, Murdeshwar A, Nieuwoudt R, Parker P, Randall R, Rawlins E, Reeves SA, Rye D, Sirkis T, Sykes B, Ventress N, Wosinska N, Akram B, Burton L, Coombs A, Long R, Magowan D, Ong C, Sethi M, Williams G, Chan C, Chan LH, Fernando D, Gaba F, Khor Z, Les JW, Mak R, Moin S, Ng Kee Kwong KC, Paterson-Brown S, Tew YY, Bardon A, Burrell K, Coldwell C, Costa I, Dexter E, Hardy A, Khojani M, Mazurek J, Raymond T, Reddy V, Reynolds J, Soma A, Agiotakis S, Alsusa H, Desai N, Peristerakis I, Adcock A, Ayub H, Bennett T, Bibi F, Brenac S, Chapman T, Clarke G, Clark F, Galvin C, Gwyn-Jones A, Henry-Blake C, Kerner S, Kiandee M, Lovett A, Pilecka A, Ravindran R, Siddique H, Sikand T, Treadwell K, Akmal K, Apata A, Barton O, Broad G, Darling H, Dhuga Y, Emms L, Habib S, Jain R, Jeater J, Kan CYP, Kathiravelupillai A, Khatkar H, Kirmani S, Kulasabanathan K, Lacey H, Lal K, Manafa C, Mansoor M, McDonald S, Mittal A, Mustoe S, Nottrodt L, Oliver P, Papapetrou I, Pattinson F, Raja M, Reyhani H, Shahmiri A, Small O, Soni U, Aguirrezabala Armbruster B, Bunni J, Hakim MA, Hawkins-Hooker L, Howell KA, Hullait R, Jaskowska A, Ottewell L, Thomas-Jones I, Vasudev A, Clements B, Fenton J, Gill M, Haider S, Lim AJM, Maguire H, McMullan J, Nicoletti J, Samuel S, Unais MA, White N, Yao PC, Yow L, Boyle C, Brady R, Cheekoty P, Cheong J, Chew SJHL, Chow R, Ganewatta Kankanamge D, Mamer L, Mohammed B, Ng Chieng Hin J, Renji Chungath R, Royston A, Sharrad E, Sinclair R, Tingle S, Treherne K, Wyatt F, Maniarasu VS, Moug S, Appanna T, Bucknall T, Hussain F, Owen A, Parry M, Parry R, Sagua N, Spofforth K, Yuen ECT, Bosley N, Hardie W, Moore T, Regas C, Abdel-Khaleq S, Ali N, Bashiti H, Buxton-Hopley R, Constantinides M, D'Afflitto M, Deshpande A, Duque Golding J, Frisira E, Germani Batacchi M, Gomaa A, Hay D, Hutchison R, Iakovou A, Iakovou D, Ismail E, Jefferson S, Jones L, Khouli Y, Knowles C, Mason J, McCaughan R, Moffatt J, Morawala A, Nadir H, Neyroud F, Nikookam Y, Parmar A, Pinto L, Ramamoorthy R, Richards E, Thomson S, Trainer C, Valetopoulou A, Vassiliou A, Wantman A, Wilde S, Dickinson M, Rockall T, Senn D, Wcislo K, Zalmay P, Adelekan K, Allen K, Bajaj M, Gatumbu P, Hang S, Hashmi Y, Kaur T, Kawesha A, Kisiel A, Woodmass M, Adelowo T, Ahari D, Alhwaishel K, Atherton R, Clayton B, Cockroft A, Curtis Lopez C, Hilton M, Ismail N, Kouadria M, Lee L, MacConnachie A, Monks F, Mungroo S, Nikoletopoulou C, Pearce L, Sara X, Shahid A, Suresh G, Wilcha R, Atiyah A, Davies E, Dermanis A, Gibbons H, Hyde A, Lawson A, Lee C, Leung-Tack M, Li Saw Hee J, Mostafa O, Nair D, Pattani N, Plumbley-Jones J, Pufal K, Ramesh P, Sanghera J, Saram S, Scadding S, See S, Stringer H, Torrance A, Vardon H, Wyn-Griffiths F, Brew A, Kaur G, Soni D, Tickle A, Akbar Z, Appleyard T, Figg K, Jayawardena P, Johnson A, Kamran Siddiqui Z, Lacy-Colson J, Oatham R, Rowlands B, Sludden E, Turnbull C, Allin D, Ansar Z, Azeez Z, Dale VH, Garg J, Horner A, Jones S, Knight S, McGregor C, McKenna J, McLelland T, Packham-Smith A, Rowsell K, Spector-Hill I, Adeniken E, Baker J, Bartlett M, Chikomba L, Connell B, Deekonda P, Dhar M, Elmansouri A, Gamage K, Goodhew R, Hanna P, Knight J, Luca A, Maasoumi N, Mahamoud F, Manji S, Marwaha PK, Mason F, Oluboyede A, Pigott L, Razaq AM, Richardson M, Saddaoui I, Wijeyendram P, Yau S, Atkins W, Liang K, Miles N, Praveen B, Ashai S, Braganza J, Common J, Cundy A, Davies R, Guthrie J, Handa I, Iqbal M, Ismail R, Jones C, Jones I, Lee KS, Levene A, Okocha M, Olivier J, Smith A, Subramaniam E, Tandle S, Wang A, Watson A, Wilson C, Chan XHF, Khoo E, Montgomery C, Norris M, Pugalenthi PP, Common T, Cook E, Mistry H, Shinmar HS, Agarwal G, Bandyopadhyay S, Brazier B, Carroll L, Goede A, Harbourne A, Lakhani A, Lami M, Larwood J, Martin J, Merchant J, Pattenden S, Pradhan A, Raafat N, Rothwell E, Shammoon Y, Sudarshan R, Vickers E, Wingfield L, Ashworth I, Azizi S, Bhate R, Chowdhury T, Christou A, Davies L, Dwaraknath M, Farah Y, Garner J, Gureviciute E, Hart E, Jain A, Javid S, Kankam HK, Kaur Toor P, Kaz R, Kermali M, Khan I, Mattson A, McManus A, Murphy M, Nair K, Ngemoh D, Norton E, Olabiran A, Parry L, Payne T, Pillai K, Price S, Punjabi K, Raghunathan A, Ramwell A, Raza M, Ritehnia J, Simpson G, Smith W, Sodeinde S, Studd L, Subramaniam M, Thomas J, Towey S, Tsang E, Tuteja D, Vasani J, Vio M, Badran A, Adams J, Anthony Wilkinson J, Asvandi S, Austin T, Bald A, Bix E, Carrick M, Chander B, Chowdhury S, Cooper Drake B, Crosbie S, D Portela S, Francis D, Gallagher C, Gillespie R, Gravett H, Gupta P, Ilyas C, James G, Johny J, Jones A, Kinder F, MacLeod C, Macrow C, Maqsood-Shah A, Mather J, McCann L, McMahon R, Mitham E, Mohamed M, Munton E, Nightingale K, O'Neill K, Onyemuchara I, Senior R, Shanahan A, Sherlock J, Spyridoulias A, Stavrou C, Stokes D, Tamang R, Taylor E, Trafford C, Uden C, Waddington C, Yassin D, Zaman M, Bangi S, Cheng T, Chew D, Hussain N, Imani-Masouleh S, Mahasivam G, McKnight G, Ng HL, Ota HC, Pasha T, Ravindran W, Shah K, Vishnu K S, Zaman S, Carr W, Cope S, Eagles EJ, Howarth-Maddison M, Li CY, Reed J, Ridge A, Stubbs T, Teasdaled D, Umar R, Worthington J, Dhebri A, Kalenderov R, Alattas A, Arain Z, Bhudia R, Chia D, Daniel S, Dar T, Garland H, Girish M, Hampson A, Kyriacou H, Lehovsky K, Mullins W, Omorphos N, Vasdev N, Venkatesh A, Waldock W, Bhandari A, Brown G, Choa G, Eichenauer CE, Ezennia K, Kidwai Z, Lloyd-Thomas A, Macaskill Stewart A, Massardi C, Sinclair E, Skajaa N, Smith M, Tan I, Afsheen N, Anuar A, Azam Z, Bhatia P, Davies-kelly N, Dickinson S, Elkawafi M, Ganapathy M, Gupta S, Khoury EG, Licudi D, Mehta V, Neequaye S, Nita G, Tay VL, Zhao S, Botsa E, Cuthbert H, Elliott J, Furlepa M, Lehmann J, Mangtani A, Narayan A, Nazarian S, Parmar C, Shah D, Shaw C, Zhao Z, Beck C, Caldwell S, Clements JM, French B, Kenny R, Kirk S, Lindsay J, McClung A, McLaughlin N, Watson S, Whiteside E, Alyacoubi S, Arumugam V, Beg R, Dawas K, Garg S, Lloyd ER, Mahfouz Y, Manobharath N, Moonesinghe R, Morka N, Patel K, Prashar J, Yip S, Adeeko ES, Ajekigbe F, Bhat A, Evans C, Farrugia A, Gurung C, Long T, Malik B, Manirajan S, Newport D, Rayer J, Ridha A, Ross E, Saran T, Sinker A, Waruingi D, Allen R, Al Sadek Y, Alves do Canto Brum H, Asharaf H, Ashman M, Balakumar V, Barrington J, Baskaran R, Berry A, Bhachoo H, Bilal A, Boaden L, Chia WL, Covell G, Crook D, Dadnam F, Davis L, De Berker H, Doyle C, Fox C, Gruffydd-Davies M, Hafouda Y, Hill A, Hubbard E, Hunter A, Inpadhas V, Jamshaid M, Jandu G, Jeyanthi M, Jones T, Kantor C, Kwak SY, Malik N, Matt R, McNulty P, Miles C, Mohomed A, Myat P, Niharika J, Nixon A, O'Reilly D, Parmar K, Pengelly S, Price L, Ramsden M, Turnor R, Wales E, Waring H, Wu M, Yang T, Ye TTS, Zander A, Zeicu C, Bellam S, Francombe J, Kawamoto N, Rahman MR, Sathyanarayana A, Tang HT, Cheung J, Hollingshead J, Page V, Sugarman J, Wong E, Chiong J, Fung E, Kan SY, Kiang J, Kok J, Krahelski O, Liew MY, Lyell B, Sharif Z, Speake D, Alim L, Amakye NY, Chandrasekaran J, Chandratreya N, Drake J, Owoso T, Thu YM, Abou El Ela Bourquin B, Alberts J, Chapman D, Rehnnuma N, Ainsworth K, Carpenter H, Emmanuel T, Fisher T, Gabrel M, Guan Z, Hollows S, Hotouras A, Ip Fung Chun N, Jaffer S, Kallikas G, Kennedy N, Lewinsohn B, Liu FY, Mohammed S, Rutherfurd A, Situ T, Stammer A, Taylor F, Thin N, Urgesi E, Zhang N, Ahmad MA, Bishop A, Bowes A, Dixit A, Glasson R, Hatta S, Hatt K, Larcombe S, Preece J, Riordan E, Fegredo D, Haq MZ, Li C, McCann G, Stewart D, Baraza W, Bhullar D, Burt G, Coyle J, Deans J, Devine A, Hird R, Ikotun O, Manchip G, Ross C, Storey L, Tan WWL, Tse C, Warner C, Whitehead M, Wu F, Court EL, Crisp E, Huttman M, Mayes F, Robertson H, Rosen H, Sandberg C, Smith H, Al Bakry M, Ashwell W, Bajaj S, Bandyopadhyay D, Browlee O, Burway S, Chand CP, Elsayeh K, Elsharkawi A, Evans E, Ferrin S, Fort-Schaale A, Iacob M, I K, Impelliziere Licastro G, Mankoo AS, Olaniyan T, Otun J, Pereira R, Reddy R, Saeed D, Simmonds O, Singhal G, Tron K, Wickstone C, Williams R, Bradshaw E, De Kock Jewell V, Houlden C, Knight C, Metezai H, Mirza-Davies A, Seymour Z, Spink D, Wischhusen S. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study. Lancet Digit Health 2022; 4:e520-e531. [PMID: 35750401 DOI: 10.1016/s2589-7500(22)00069-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/07/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. METHODS We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). FINDINGS In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]). INTERPRETATION In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. FUNDING British Journal of Surgery Society.
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Panakkal S, Falkenstein B, Tosun AB, Campbell B, Becich M, Fine J, Taylor DL, Chennubhotla SC, Pullara F. Abstract 454: TumorMapr™ analytical software platform: Unbiased spatial analytics and explainable AI (xAI) platform for generating data, extracting information, and creating knowledge from multi to hyperplexed fluorescence and/or mass spectrometry image datasets. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The current computational analyses of multi to hyperplexed fluorescence and/or mass spectrometry image datasets from patient pathology samples are not powerful enough to extract the maximum amount of information or to create the detailed knowledge that is required to advance precision medicine in pathology, including the development of personalized therapeutic strategies, identification of potential novel targets for drug discovery, selection of optimal patient cohorts for clinical trials, and improvement of the predictive power of prognostics/diagnostics.
Methods: TumorMapr harnesses the computational power of proprietary, unbiased spatial analytics, spatial systems pathology, and explainable artificial intelligence (xAI) to extract information and to create knowledge from patient primary disease pathology samples imaged on any of the existing fluorescence and/or mass spectrometry imaging platforms.
Results: To demonstrate the generalizability and utility of the TumorMapr platform, we apply it on two different datasets: hyperplexed immunofluorescence-based colorectal cancer data (51 biomarkers, 431 patients) and imaging mass cytometry-based breast cancer data (35 biomarkers, 281 patients). The TumorMapr platform (i) unlike the biased intensity thresholding approaches, the unbiased and automated functional cell phenotyping discovers a continuum of cell types and cell states, including transitional, multi-transitional cell states and fusion cell types that are critical for disease progression; (ii) derives microdomains with tumor promoting and tumor suppressing properties that are highly predictive of disease progression and response to therapy; (iii) spatial systems pathology analysis taps into the current network biology knowledge databases to derive pathway interactions and signaling networks, identify novel biomarkers and potential molecular targets and drugs, in the spatial context of each microdomain; (iv) xAI application guide, for example, in the case of predicting 5-year risk of recurrence in CRC patients, provides explanations in the form of microdomain-specific networks that are driving disease progression. Using the TumorMapr pipeline we created a prognostic test that shows a vastly superior performance over current approaches in predicting 5-yr risk of recurrence in CRC patients. Further, the TumorMapr platform enables building a rich outcome-specific library of microdomains to directly apply on prospective tissue samples for a companion diagnostic test that predicts disease outcomes.
Citation Format: Samantha Panakkal, Brian Falkenstein, Akif Burak Tosun, Bruce Campbell, Michael Becich, Jeffrey Fine, D. Lansing Taylor, S. Chakra Chennubhotla, Filippo Pullara. TumorMapr™ analytical software platform: Unbiased spatial analytics and explainable AI (xAI) platform for generating data, extracting information, and creating knowledge from multi to hyperplexed fluorescence and/or mass spectrometry image datasets [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 454.
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Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P. Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. BMJ 2022; 377:e070904. [PMID: 35584845 PMCID: PMC9116198 DOI: 10.1136/bmj-2022-070904] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2022] [Indexed: 01/04/2023]
Affiliation(s)
- Baptiste Vasey
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Myura Nagendran
- UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK
| | - Bruce Campbell
- University of Exeter Medical School, Exeter, UK
- Royal Devon and Exeter Hospital, Exeter, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK
- British Heart Foundation Data Science Centre, London, UK
- Health Data Research UK, London, UK
- UCL Hospitals Biomedical Research Centre, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Livia Faes
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | | | - Mudathir Ibrahim
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Surgery, Maimonides Medical Center, New York, NY, USA
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK
- Wellcome Trust, London, UK
- Alan Turing Institute, London, UK
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa D McCradden
- Hospital for Sick Children, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Johan Ordish
- The Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Suchi Saria
- Departments of Computer Science, Statistics, and Health Policy, and Division of Informatics, Johns Hopkins University, Baltimore, MD, USA
- Bayesian Health, New York, NY, USA
| | - Daniel S W Ting
- Singapore National Eye Center, Singapore Eye Research Institute, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Biomedical Research Centre Oxford, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | | | - Peter McCulloch
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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Xu M, Lasocki A, Bressel M, Goroncy N, Seymour J, Wheeler G, Dwyer M, Wiltshire K, Haghighi N, Mason K, Tange D, Campbell B. OC-0760 Active surveillance is safe for asymptomatic radiation-induced meningiomas in cancer survivors. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02666-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nat Med 2022; 28:924-933. [PMID: 35585198 DOI: 10.1038/s41591-022-01772-9] [Citation(s) in RCA: 99] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/03/2022] [Indexed: 12/31/2022]
Abstract
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluation is important to assess an AI system's actual clinical performance at small scale, ensure its safety, evaluate the human factors surrounding its use and pave the way to further large-scale trials. However, the reporting of these early studies remains inadequate. The present statement provides a multi-stakeholder, consensus-based reporting guideline for the Developmental and Exploratory Clinical Investigations of DEcision support systems driven by Artificial Intelligence (DECIDE-AI). We conducted a two-round, modified Delphi process to collect and analyze expert opinion on the reporting of early clinical evaluation of AI systems. Experts were recruited from 20 pre-defined stakeholder categories. The final composition and wording of the guideline was determined at a virtual consensus meeting. The checklist and the Explanation & Elaboration (E&E) sections were refined based on feedback from a qualitative evaluation process. In total, 123 experts participated in the first round of Delphi, 138 in the second round, 16 in the consensus meeting and 16 in the qualitative evaluation. The DECIDE-AI reporting guideline comprises 17 AI-specific reporting items (made of 28 subitems) and ten generic reporting items, with an E&E paragraph provided for each. Through consultation and consensus with a range of stakeholders, we developed a guideline comprising key items that should be reported in early-stage clinical studies of AI-based decision support systems in healthcare. By providing an actionable checklist of minimal reporting items, the DECIDE-AI guideline will facilitate the appraisal of these studies and replicability of their findings.
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Affiliation(s)
- Baptiste Vasey
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Myura Nagendran
- UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK
| | - Bruce Campbell
- University of Exeter Medical School, Exeter, UK
- Royal Devon and Exeter Hospital, Exeter, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK
- British Heart Foundation Data Science Centre, London, UK
- Health Data Research UK, London, UK
- UCL Hospitals Biomedical Research Centre, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Livia Faes
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Bart Geerts
- Healthplus.ai-R&D BV, Amsterdam, The Netherlands
| | - Mudathir Ibrahim
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK
- The Wellcome Trust, London, UK
- The Alan Turing Institute, London, UK
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa D McCradden
- The Hospital for Sick Children, Toronto ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto ON, Canada
| | | | - Johan Ordish
- Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Suchi Saria
- Departments of Computer Science, Statistics, and Health Policy, and Division of Informatics, Johns Hopkins University, Baltimore, MD, USA
- Bayesian Health, New York, NY, USA
| | - Daniel S W Ting
- Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Biomedical Research Centre Oxford, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | | | - Peter McCulloch
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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Bivard A, Zhao H, Coote S, Campbell B, Churilov L, Yassi N, Yan B, Valente M, Sharobeam A, Balabanski A, Dos Santos A, Ng F, Langenberg F, Stephenson M, Smith K, Bernard S, Thijs V, Cloud G, Choi P, Ma H, Wijeratne T, Chen C, Olenko L, Davis SM, Donnan GA, Parsons M. Tenecteplase versus Alteplase for Stroke Thrombolysis Evaluation Trial in the Ambulance (Mobile Stroke Unit-TASTE-A): protocol for a prospective randomised, open-label, blinded endpoint, phase II superiority trial of tenecteplase versus alteplase for ischaemic stroke patients presenting within 4.5 hours of symptom onset to the mobile stroke unit. BMJ Open 2022; 12:e056573. [PMID: 35487712 PMCID: PMC9058803 DOI: 10.1136/bmjopen-2021-056573] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Mobile stroke units (MSUs) equipped with a CT scanner are increasingly being used to assess and treat stroke patients' prehospital with thrombolysis and transfer them to the most appropriate hospital for ongoing stroke care and thrombectomy when indicated. The effect of MSUs in both reducing the time to reperfusion treatment and improving patient outcomes is now established. There is now an opportunity to improve the efficacy of treatment provided by the MSU. Tenecteplase is a potent plasminogen activator, which may have benefits over the standard of care stroke lytic alteplase. Specifically, in the MSU environment tenecteplase presents practical benefits since it is given as a single bolus and does not require an infusion over an hour like alteplase. OBJECTIVE In this trial, we seek to investigate if tenecteplase, given to patients with acute ischaemic stroke as diagnosed on the MSU, improves the rate of early reperfusion. METHODS AND ANALYSIS TASTE-A is a prospective, randomised, open-label, blinded endpoint (PROBE) phase II trial of patients who had an ischaemic stroke assessed in an MSU within 4.5 hours of symptom onset. The primary endpoint is early reperfusion measured by the post-lysis volume of the CT perfusion lesion performed immediately after hospital arrival. ETHICS AND DISSEMINATION The study was approved by the Royal Melbourne Hospital Human Ethics committee. The findings will be published in peer-reviewed journals, presented at academic conferences and disseminated among consumer and healthcare professional audiences. TRIAL REGISTRATION NUMBER NCT04071613.
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Affiliation(s)
- Andrew Bivard
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Henry Zhao
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Skye Coote
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Bruce Campbell
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Leonid Churilov
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Nawaf Yassi
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Bernard Yan
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Michael Valente
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Ambulance Victoria, Doncaster, Victoria, Australia
| | - Angelos Sharobeam
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Anna Balabanski
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Neurology, Monash University, Melbourne, Victoria, Australia
| | - Angela Dos Santos
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Neurology, Monash University, Melbourne, Victoria, Australia
| | - Felix Ng
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Ambulance Victoria, Doncaster, Victoria, Australia
| | - Francesca Langenberg
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Karen Smith
- Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | | | - Vincent Thijs
- Florey Institute of Neuroscience and Mental Health - Austin Campus, Heidelberg, Victoria, Australia
- Stroke Unit, Austin Health, Heidelberg, Victoria, Australia
| | - Geoffrey Cloud
- Department of Neurology, Alfred Health, Monash University, Melbourne, Victoria, Australia
| | - Philip Choi
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
| | - Henry Ma
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Tissa Wijeratne
- Department of Neurology, Western Health, Footscray, Victoria, Australia
| | - Chushuang Chen
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Liudmyla Olenko
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Stephen M Davis
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Melbourne Brain Centre at Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, The University of Melbourne, Melbourne, Victoria, Australia
- Melbourne Brain Centre at Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mark Parsons
- School of Medicine and Public Health, Department of Neurology Liverpool Hospital, University of New South Wales South Western Sydney Clinical School, Liverpool, New South Wales, Australia
- Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
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Ng FC, Churilov L, Yassi N, Kleinig TJ, Thijs V, Wu T, Shah D, Dewey H, Sharma G, Desmond P, Yan B, Parsons M, Donnan G, Davis S, Mitchell P, Campbell B. Prevalence and Significance of Impaired Microvascular Tissue Reperfusion Despite Macrovascular Angiographic Reperfusion (No-Reflow). Neurology 2022; 98:e790-e801. [PMID: 34906976 DOI: 10.1212/wnl.0000000000013210] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/24/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The relevance of impaired microvascular tissue-level reperfusion despite complete upstream macrovascular angiographic reperfusion (no-reflow) in human stroke remains controversial. We investigated the prevalence and clinical-radiologic features of this phenomenon and its associations with outcomes in 3 international randomized controlled thrombectomy trials with prespecified follow-up perfusion imaging. METHODS In a pooled analysis of the Extending the Time for Thrombolysis in Emergency Neurological Deficits-Intra-Arterial (EXTEND-IA; ClinicalTrials.gov NCT01492725), Tenecteplase Versus Alteplase Before Endovascular Therapy for Ischemic Stroke (EXTEND-IA TNK; NCT02388061), and Determining the Optimal Dose of Tenecteplase Before Endovascular Therapy for Ischaemic Stroke (EXTEND-IA TNK Part 2; NCT03340493) trials, patients undergoing thrombectomy with final angiographic expanded Treatment in Cerebral Infarction score of 2c to 3 score for anterior circulation large vessel occlusion and 24-hour follow-up CT or MRI perfusion imaging were included. No-reflow was defined as regions of visually demonstrable persistent hypoperfusion on relative cerebral blood volume or flow maps within the infarct and verified quantitatively by >15% asymmetry compared to a mirror homolog in the absence of carotid stenosis or reocclusion. RESULTS Regions of no-reflow were identified in 33 of 130 patients (25.3%), encompassed a median of 60.2% (interquartile range 47.8%-70.7%) of the infarct volume, and involved both subcortical (n = 26 of 33, 78.8%) and cortical (n = 10 of 33, 30.3%) regions. Patients with no-reflow had a median 25.2% (interquartile range 16.4%-32.2%, p < 0.00001) relative cerebral blood volume interside reduction and 19.1% (interquartile range 3.9%-28.3%, p = 0.00011) relative cerebral blood flow reduction but similar mean transit time (median -3.3%, interquartile range -11.9% to 24.4%, p = 0.24) within the infarcted region. Baseline characteristics were similar between patients with and those without no-reflow. The presence of no-reflow was associated with hemorrhagic transformation (adjusted odds ratio [aOR] 1.79, 95% confidence interval [CI] 2.32-15.57, p = 0.0002), greater infarct growth (β = 11.00, 95% CI 5.22-16.78, p = 0.00027), reduced NIH Stroke Scale score improvement at 24 hours (β = -4.06, 95% CI 6.78-1.34, p = 0.004) and being dependent or dead at 90 days as assessed by the modified Rankin Scale (aOR 3.72, 95% CI 1.35-10.20, p = 0.011) in multivariable analysis. DISCUSSION Cerebral no-reflow in humans is common, can be detected by its characteristic perfusion imaging profile using readily available sequences in the clinical setting, and is associated with posttreatment complications and being dependent or dead. Further studies evaluating the role of no-reflow in secondary injury after angiographic reperfusion are warranted. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that cerebral no-reflow on CT/MRI perfusion imaging at 24 hours is associated with posttreatment complications and poor 3-month functional outcome.
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Affiliation(s)
- Felix C Ng
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia.
| | - Leonid Churilov
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Nawaf Yassi
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Timothy John Kleinig
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Vincent Thijs
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Teddy Wu
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Darshan Shah
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Helen Dewey
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Gagan Sharma
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Patricia Desmond
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Bernard Yan
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Mark Parsons
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Geoffrey Donnan
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Stephen Davis
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Peter Mitchell
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
| | - Bruce Campbell
- From the Department of Medicine and Neurology (F.C.N., L.C., N.Y., G.S., B.Y., M.P., G.D., S.D., B.C.), Melbourne Brain Centre at the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health (L.C., V.T., H.D.), and Department of Radiology (P.D., B.Y., P.M.), Royal Melbourne Hospital, University of Melbourne, Parkville; Department of Neurology (F.C.N., V.T.), Austin Hospital, Austin Health; Department of Medicine (Austin Health) (L.C.), University of Melbourne, Heidelberg, Victoria; Population Health and Immunity Division (N.Y.), Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Neurology (T.J.K.), Royal Adelaide Hospital, South Australia, Australia; Department of Neurology (T.W.), Christchurch Hospital, New Zealand; Department of Neurology (D.S.), Princess Alexandra Hospital, Brisbane, Queensland; and Department of Neurosciences (H.D.), Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Victoria, Australia
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44
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Sarraj A, Parsons M, Bivard A, Hassan AE, Abraham MG, Wu T, Kleinig T, Lin L, Chen C(A, Levi C, Dong Q, Cheng X, Butcher KS, Choi P, Yassi N, Shah D, Sharma G, Pujara D, Shaker F, Blackburn S, Dewey H, Thijs V, Sitton CW, Donnan GA, Mitchell PJ, Yan B, Grotta JG, Albers GW, Davis SM, Campbell B. Endovascular Thrombectomy versus Medical Management in Isolated
M2
Occlusions: Pooled
Patient‐Level
Analysis from the
EXTEND‐IA
Trials,
INSPIRE
and
SELECT
Studies. Ann Neurol 2022; 91:629-639. [DOI: 10.1002/ana.26331] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/28/2022] [Accepted: 02/14/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Amrou Sarraj
- Case Western Reserve University, Neurology Cleveland OH USA
- University Hospitals Cleveland Medical Center Cleveland OH USA
| | - Mark Parsons
- The University of New South Wales, Neurology Sydney NSW Australia
| | - Andrew Bivard
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
- The University of Newcastle, Stroke and Brain Injury Center Callaghan NSW, Australia Australia
| | - Ameer E Hassan
- University of Texas Rio Grande Valley ‐ Valley Baptist Medical Center, Neurology Harlingen TX USA
| | | | - Teddy Wu
- Christchurch Hospital, Neurology Christchurch New Zealand
| | - Timothy Kleinig
- Royal Adelaide Hospital, Neurology Adelaide South Australia Australia
| | - Longting Lin
- John Hunter Hospital University of Newcastle, Neurology Australia
| | | | - Christopher Levi
- John Hunter Hospital University of Newcastle, Neurology Australia
| | - Qiang Dong
- Huashan Hospital Fudan University, Neurology Shanghai China
| | - Xin Cheng
- Huashan Hospital Fudan University, Neurology Shanghai China
| | - Ken S Butcher
- The University of New South Wales, Neurology Sydney NSW Australia
| | - Philip Choi
- Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences Monash University Melbourne Victoria Australia
| | - Nawaf Yassi
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
- The Walter and Eliza Hall Institute of Medical Research, Population Health and Immunity Division Parkville Australia
| | - Darshan Shah
- Gold Coast University Hospital, Neurology Southport Queensland Australia
| | - Gagan Sharma
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
| | - Deep Pujara
- University Hospitals Cleveland Medical Center Cleveland OH USA
| | - Faris Shaker
- UTHealth McGovern Medical School, Neurosurgery Houston TX USA
| | | | - Helen Dewey
- Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences Monash University Melbourne Victoria Australia
| | - Vincent Thijs
- Stroke Theme, Florey Institute of Neuroscience and Mental Health University of Melbourne Heidelberg VIC AUS
| | - Clark W Sitton
- UTHealth McGovern Medical School, Diagnostic and Interventional Imaging Houston TX USA
| | - Geoffrey A Donnan
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
| | - Peter J Mitchell
- The Royal Melbourne Hospital University of Melbourne, Radiology Parkville Victoria Australia
| | - Bernard Yan
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
| | - James G Grotta
- Memorial Hermann – Texas Medical Center, Neurology Houston TX USA
| | - Gregory W. Albers
- Stanford University Medical Center, Neurology and Neurological Sciences Stanford CA USA
| | - Stephen M Davis
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
| | - Bruce Campbell
- The Melbourne Brain Centre, The Royal Melbourne Hospital University of Melbourne, Neurology Parkville Victoria Australia
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45
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Johns H, Italiano D, Campbell B, Churilov L. Common scale minimal sufficient balance: An improved method for covariate-adaptive randomization based on the Wilcoxon-Mann-Whitney odds ratio statistic. Stat Med 2022; 41:1846-1861. [PMID: 35176811 PMCID: PMC9303921 DOI: 10.1002/sim.9332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/28/2021] [Accepted: 01/10/2022] [Indexed: 12/04/2022]
Abstract
Minimal sufficient balance (MSB) is a recently suggested method for adaptively controlling covariate imbalance in randomized controlled trials in a manner which reduces the impact on randomness of allocation over other approaches by only intervening when the imbalance is sufficiently significant. Despite its improvements, the approach is unable to consider the relative clinical importance or magnitude of imbalance in each covariate weight, and ignores any imbalance which is not statistically significant, even when these imbalances may collectively justify intervention. We propose the common scale MSB (CS‐MSB) method which addresses these limitations, and present simulation studies comparing our proposed method to MSB. We demonstrate that CS‐MSB requires less intervention than MSB to achieve the same level of covariate balance, and does not adversely impact either statistical power or Type‐I error.
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Affiliation(s)
- Hannah Johns
- Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
| | - Dominic Italiano
- Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
| | - Bruce Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre and Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia.,Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
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46
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Heit JJ, Bianco G, Mlynash M, Yuen N, Qureshi AY, Hinduja A, Dehkharghani S, Goldman-Yassen A, Hsieh KLC, Giurgiutiu DV, Gibson D, Carrera E, Alemseged F, Faizy TD, Fiehler J, Pileggi M, Lansberg MG, Campbell B, Albers GW, Cereda CW. Abstract 126: Cerebral Perfusion Imaging And Posterior Circulation ASPECTS Identify Stroke Patients Who Benefit From Basilar Artery Thrombectomy. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Acute ischemic stroke due to basilar artery occlusion (AIS-BAO) results in significant morbidity and mortality. Endovascular thrombectomy (ET) has not been shown to improve outcomes in AIS-BAO patients in randomized trials, which may be due to insufficient selection before ET. We determined whether the Critical Area Perfusion Score (CAPS) and posterior circulation ASPECTS (PC-ASPECTS) predict a favorable response to ET.
Methods:
We performed a multicenter retrospective study of AIS-BAO patients with perfusion imaging prior to ET. PC-ASPECTS was determined on NCCT by evaluating the cerebellum (1 point/hemisphere), pons (2 points), midbrain (2 points), thalamus (1 point/hemisphere), and posterior cerebral artery (1 point/hemisphere) territories, and points were subtracted for hypodensity in these regions. CAPS was quantified severe hypoperfusion (Tmax >10s) in cerebellum (1 point/hemisphere), pons (2 points), midbrain and/or thalamus (2 points). The primary outcome was a favorable outcome 90-days after ET (modified Rankin Scale [mRS] 0-3).
Results:
89 patients were included. CAPS (AUC=0.70 [95% CI: 0.59-0.80]; p=0.002) and PC-ASPECTS (AUC=0.63 [95% CI: 0.52-0.75]; p=0.034) both predicted favorable outcomes in a receiver operating curve analysis, but there was no difference between the two (p=0.434). After dichotomization, patients with favorable CAPS (≤3) and PC-ASPECTS (≥7) were more likely to achieve a good functional outcome after successful reperfusion after ET (Figure). However, an unfavorable CAPS (>3) was associated with poor outcomes despite successful thrombectomy in all patients, whereas 22% of patients with unfavorable PC-ASPECTS (<7) still achieved favorable outcomes with reperfusion after ET (Figure).
Conclusions:
CAPS and PC-ASPECTS both identify AIS-BAO patients who are likely to have a favorable clinical response to ET. CAPS, but not PC-ASPECTS, appears to accurately identify a subgroup in whom ET may be futile.
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Affiliation(s)
- Jeremy J Heit
- Radiology and Neurosurgery, Stanford Univ, Stanford, CA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Carlo W Cereda
- Neurocenter of Southern Switzerland, Lugano, Switzerland
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47
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McDonough RV, Ospel JM, Campbell B, Hill MD, Saver JL, Dippel DW, Demchuk AM, Majoie CB, Brown S, Mitchell PJ, Bracard S, guillemin F, Jovin TG, Muir KW, White P, Goyal M. Abstract 41: Functional Outcome Of Patients 85 Years Or Older With Acute Ischemic Stroke Following Endovascular Treatment - A Substudy Of The Hermes Meta-analysis. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.41] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Previous studies have reported poor outcomes and high rates of mortality following endovascular therapy (EVT) for ischemic stroke in older patients. However, patients ≥85 years were underrepresented in most randomized trials. Our aim was to study the influence of age on outcome and EVT effect for ischemic stroke in patients aged ≥85 years.
Methods:
Data were from the HERMES collaboration, a meta-analysis of 7 randomized trials that tested the efficacy of EVT. Two multivariable ordinal logistic regression were used to compare the association between EVT and 90-day functional outcome (modified Rankin Scale, primary outcome) in patients ≥85 years old to those who were younger. Secondary outcomes included mortality at 90 days and symptomatic intracranial hemorrhage (sICH) at 24 hours.
Results:
We included 1764 patients in the analysis, of whom 77 (4.4%) were ≥85 years old. While patients ≥85 years had worse outcomes (adjusted odds ratio [aOR] 0.26 (95%CI:0.14-0.48) and higher mortality rates (aOR:3.28, 95%CI:1.54-6.97) compared to those <85 years, a significant benefit of EVT was observed in the ≥85-year-old patient subgroup (common OR:4.20 (95%CI:1.56-11.32, Figure). Patients ≥85 years undergoing EVT had lower rates of mortality than those in the control group (31% vs. 54%, p<0.01). Age ≥85 years was not significantly associated with higher rates of sICH (adjusted cOR:2.3, 95%CI:0.59-8.93).
Conclusion:
Patients ≥85 years old with independent premorbid function more often achieve good functional outcomes when treated with EVT compared to conservative management, with lower rates of mortality and no differences in sICH rates. EVT should therefore not be withheld in this subgroup.
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Yogendrakumar V, churilov L, Mitchell PJ, Kleinig TJ, Yassi N, Thijs V, Wu TY, Shah D, Dewey HM, Wijeratne T, Yan B, Sharma G, Desmond P, Parsons M, Donnan GA, Davis S, Campbell B. Abstract 44: Safety Of Tenecteplase And Alteplase In Tandem Lesion Stroke: A Pooled Analysis Of The Extend-IA TNK Trials. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
The efficacy of tenecteplase (TNK) in patients with tandem lesions (TL) in the anterior circulation is unknown. The longer half-life of TNK could potentially lead to increased hemorrhage, especially in patients who require stenting of the extracranial internal carotid artery (eICA) and subsequent antiplatelet therapy. We assessed the efficacy and safety of TNK in a pooled analysis of the EXTEND-IA TNK trials.
Methods:
We compared the treatment effect of TNK (pooled analysis of 0.25 and 0.40mg/kg dosing) with alteplase (tPA), stratifying for TL presence. A TL was defined as a combination of eICA pathology (ipsilateral stenosis >70% or occlusion) and intracranial LVO. Outcomes evaluated include 90-day mRS, intracranial reperfusion at initial angiographic assessment, mortality, ICH (symptomatic [sICH] and parenchymal hematoma [PH]). Treatment effect was adjusted for baseline NIHSS, age, and time from symptom onset to puncture via mixed effects proportional odds and logistic regression models.
Results:
Of 483 patients with an anterior circulation occlusion, 71/483 (15%) patients had a TL and 43/71 (61%) patients required eICA stenting. In TL patients, reperfusion at initial angiographic assessment was observed in 11/56 (20%) of patients treated with TNK vs. 1/15 (7%) patients treated with tPA (aOR:3.71; 95% CI:0.42-32.75). sICH was observed in 4/71(6%) TL vs 7/412 (2%) nonTL patients (p=0.04). Among TL patients, sICH occurred in 4/56 (7%) patients treated with TNK vs 0/15 (0%) tPA treated patients (p=0.57); sICH occurred in 2/40 (5%) of the 0.25mg/kg TNK group and 2/16 (12.5%) of the 0.40mg/kg TNK group. PH was observed in 6/56 (11%) patients treated with TNK vs 0/15 (0%) tPA treated patients (p=0.33). 90-day mRS (TNK median 2 vs. tPA median 4, acOR:1.21; 95% CI:0.42-3.48), mortality (TNK: 5 [9%] vs. tPA: 3 [20%], aOR:0.45; 95% CI:0.08-2.50), and eICA stenting (TNK: 35 [64%] vs. tPA: 8 [57%], p=0.65) rates did not differ between the two treatment groups.
Conclusions:
Although patients with TL in the anterior circulation were at higher risk of hemorrhagic complications, these did not significantly differ between the TNK and tPA groups. A numeric increase in bleeding with TNK was not accompanied by an increase in mortality or worse functional outcome.
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Kleinig TJ, Cheong E, Goh R, Dodd L, Hampton C, Cagi L, Chia N, Harvey J, Scroop R, Garcia-Esperon C, Campbell B. Abstract WMP6: Trendelenburg (Head Down) Positioning In Acute Large Vessel Occlusion Ischemic Stroke Improves Penumbral Perfusion And Is Well-tolerated: The Head-start Study. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.wmp6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
It is uncertain whether lowered head position improves penumbral perfusion in ischemic stroke. Although a transcranial Doppler trial in large vessel occlusion (LVO) patients suggested improvement, a large pragmatic clinical trial in mixed stroke patients was neutral. We tested the tolerability and effect on penumbral perfusion of 20-degree head-down (Trendelenburg) positioning in patients with acute LVO stroke using automated quantitative CT perfusion (CTP).
Methods:
We enrolled LVO patients aged ≥60, 0-24h after onset, with ≥30mL anterior circulation CTP lesion volume (delay time [DT]>3, MISTAR software). CTP was repeated after 5 minutes of 20-degree Trendelenburg positioning using a custom-designed foam wedge. Neurological status (National Institutes of Health Stroke Scale [NIHSS]) and blood pressure were recorded in routine (30 degree up) and Trendelenburg position. Trendelenburg positioning was maintained for 24h if perfusion lesion volume significantly decreased (≥5mL) and reperfusion treatment was suboptimal.
Results:
The target of 25 patients were enrolled (14 [56%] male, median age 76 (interquartile range [IQR]71-84), baseline modified Rankin scale score 0 [IQR0-0], median NIHSS 20 [IQR 13-24]). Most patients (15/25 [60%]) had an acute M1 middle cerebral artery (MCA) occlusion, 6 (24%) an occluded M2 MCA and 4 (16%) an occluded ICA. Stroke etiology was predominantly (15/25 [60%]) cardioembolic.Median (IQR) DT>3seconds lesion volume was significantly reduced by Trendelenburg compared with conventional horizontal CT positioning (114mL [94-204] vs 149mL [76-153] p=0.0027)). This was not explained by changes in blood pressure, which was unaltered (mean 148mmHg (+/- standard deviation 29) vs 143 (+/-27); p=0.129). Head position did not alter clinical severity (NIHSS 13 [IQR 9-28]) in both positions). A significant lesion volume reduction with Trendelenburg positioning was seen in 15/25 patients (60%); 7 received continued Trendelenburg positioning due to incomplete reperfusion. Head down positioning was well tolerated in the majority (4/7 [57%]), without serious adverse events.
Conclusion:
Head-down (Trendelenburg) positioning improves penumbral perfusion in acute LVO ischemic stroke and is well-tolerated.
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Affiliation(s)
| | | | - Rudy Goh
- Royal Adelaide Hosp, Adelaide, Australia
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50
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Warach SJ, Ranta A, Song SS, Gibson D, Wallace A, Beharry J, Bladin C, Kleinig TJ, Harvey J, Doss VT, Marescalco R, Fink JN, Kim J, Cadilhac DA, Wilson D, Figueroa S, Pech MA, Paletz LB, Castro M, Sahlein D, Lafranchise EF, Sandall J, Geraghty SR, Cullis PA, Malisch T, Neill TA, LaMonte MP, Campbell B, Wu TY. Abstract 43: Comparative Effectiveness Of Routine Tenecteplase Thrombolysis In Acute Stroke Compared With Alteplase: An INternational Collaboration (CERTAIN Collaboration): Rates Of Symptomatic Intracranial Hemorrhage. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Despite pharmacological and practical advantages for tenecteplase (TNK) over alteplase (ALT), no differences were observed in percent of symptomatic intracranial hemorrhage (sICH) in randomized trials (fewer than 900 total patients for either treatment). We compared rates of sICH in patients treated with either drug, using a large, multicenter, international registry.
Methods:
The CERTAIN collaboration is an ongoing registry of deidentified patient-level data of thrombolytic treated ischemic stroke from various hospitals/programs in New Zealand, Australia, and the United States that have used ALT or TNK since July 1, 2018. Standardized data were abstracted and harmonized from local or regional clinical registries. We defined sICH as clinical worsening of at least 4 points on NIHSS, attributed to parenchymal hematoma, subarachnoid or intraventricular hemorrhage. We used logistic regression for binary variables, adjusting sICH differences for age, baseline NIHSS, thrombectomy, and source hospital network and Mann-Whitney test for continuous baseline variables.
Results:
A total of 7891 patients were included in the initial analysis. The TNK group was older, more likely to be male, had higher NIHSS, and more frequently underwent mechanical thrombectomy (Table. Sample Characteristics). The sICH rate was 3.71% for ALT and 2.13% for TNK: adjusted OR (95%CI) = 0.49 (0.31-0.76) p=0.002. For patients not undergoing thrombectomy after thrombolytic, the sICH rate was 3.00% for ALT and 1.74% for TNK, adjusted OR (95%CI) = 0.48 (0.27-0.87), p=0.016. For thrombectomy treated cases, sICH rate was 6.80% for ALT and 2.80% for TNK, adjusted OR (95%CI) 0.60 (0.31-1.16), p=0.129.
Conclusion:
In this preliminary analysis from a large, multicenter registry, ischemic stroke treated with tenecteplase was associated with a lower rate of sICH than with alteplase. An updated analysis with patient data from additional sites will be presented at the Conference.
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Affiliation(s)
- Steven J Warach
- Ascension Healthcare and Univ of Texas at Austin, Austin, TX
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Tim Malisch
- Amita Health Adventist Med Cntr-Hinsdale., Elk Grove Village, IL
| | | | - MP LaMonte
- Ascension Saint Agnes Hosp, Ellicott City, MD
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