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Kleinig TJ, Murphy L. 30/60/90 National stroke targets and stroke unit access for all Australians: it's about time. Med J Aust 2024; 221:402-406. [PMID: 39317689 DOI: 10.5694/mja2.52459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 08/23/2024] [Indexed: 09/26/2024]
Affiliation(s)
- Timothy J Kleinig
- Royal Adelaide Hospital, Adelaide, SA
- University of Adelaide, Adelaide, SA
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2
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Kleinig TJ, McMullan P, Cloud GC, Bladin PC, Ranta A. Hyper-Acute Stroke Systems of Care and Workflow. Curr Neurol Neurosci Rep 2024; 24:495-505. [PMID: 39150649 DOI: 10.1007/s11910-024-01367-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2024] [Indexed: 08/17/2024]
Abstract
PURPOSE OF REVIEW Recent stroke treatment advances have necessitated agile, broad-scale healthcare system redesign, to achieve optimal patient outcomes and access equity. Optimised hyperacute stroke care requires integrated pre-hospital, emergency department, stroke specialist, radiology, neurosurgical and endovascular neurointervention services, guided by a population-wide needs analysis. In this review, we survey system integration efforts, providing case studies, and identify common elements of successful initiatives. RECENT FINDINGS Different regions and nations have evolved varied acute stroke systems depending on geography, population density and workforce. However, common facilitators to these solutions have included stroke unit care as a foundation, government-clinician synergy, pre-hospital pathway coordination, service centralisation, and stroke data guiding system improvement. Further technological advantages will minimize the geographical distance disadvantages and facilitate virtual expertise redistribution to remote areas. Continued treatment advances necessitate an integrated, adaptable, population-wide trans-disciplinary approach. A well-designed clinician-led and government-supported system can facilitate hyperacute care and scaffold future system enhancements.
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Affiliation(s)
- Timothy J Kleinig
- Department of Neurology, Royal Adelaide Hospital, 1 Port Road, Adelaide, South Australia, 5000, Australia.
| | - Patrick McMullan
- Department of Neurology, Royal Adelaide Hospital, 1 Port Road, Adelaide, South Australia, 5000, Australia
| | - Geoffrey C Cloud
- Department of Neurology, Alfred Health, Melbourne, VIC, Australia
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC, Australia
| | | | - Anna Ranta
- Department of Neurology, Wellington Hospital, Wellington, New Zealand
- Department of Medicine, University of Otago, Wellington, New Zealand
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Ibsen J, Hov MR, Tokerud GE, Fuglum J, Linnerud Krogstad M, Stugaard M, Ihle-Hansen H, Lund CG, Hall C. Prehospital computed tomography in a rural district for rapid diagnosis and treatment of stroke. Eur Stroke J 2024:23969873241267084. [PMID: 39340436 PMCID: PMC11556544 DOI: 10.1177/23969873241267084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 06/18/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Early diagnosis and triage of patients with ischemic stroke is essential for rapid reperfusion therapy. The prehospital delay may be substantial and patients from rural districts often arrive at their local hospital too late for disability-preventing thrombolytic therapy due to prolonged transport times. METHODS Hallingdal District Medical Centre (HDMC) is located in a rural area of Norway and is equipped with a computed tomography (CT) scanner. We established emergency pathways of CT imaging and thrombolytic treatment of patients with acute ischemic stroke at HDMC. During office hours these pathways were managed by a radiographer and a general physician supported by videoconference from the Primary Stroke Centre. Outside office hours we remotely controlled the CT exam and supported telestroke guided paramedics handling and examining the patients. With a primary aim of demonstrating the feasibility of this de novo concept we enrolled patients in the period 2017-2021 into a comparative cohort observational study. We compared patients treated at HDMC (the Rural CT group) to patients from two other rural regions in Norway with similar distances to their local hospital but without access to a rural CT scanner (the Reference group). RESULTS A total of 86 patients were included in the Rural CT group (mean age 74, 52% male, 43% stroke mimics), and 69 patients were included in the Reference group (mean age 70, 42% male, 28% stroke mimics). Median time from onset of symptoms to completed CT examination was 93 min in the Rural CT group as compared to 240 min in the Reference group (p < 0.05). In patients receiving intravenous thrombolysis time from onset of symptoms to treatment was median 124 min in the Rural CT group and 213 min in the Reference group, p < 0.05. The frequency of thrombolysis for ischemic stroke did not significantly differ between the two groups. CONCLUSION Combining prehospital rural CT examination with telestroke guided diagnosis and thrombolytic treatment by paramedics may facilitate earlier initiation of thrombolysis for patients with ischemic stroke.
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Affiliation(s)
- Jørgen Ibsen
- Department of Medicine, Ringerike Hospital, Vestre Viken Hospital Trust, Honefoss, Norway
| | - Maren Ranhoff Hov
- The Norwegian Air Ambulance Foundation, Oslo, Norway
- Oslo Metropolitan University, Bachelor of Paramedic, Oslo, Norway
| | - Gunn Eli Tokerud
- Department of Medical Diagnostics, Ringerike Hospital, Vestre Viken Hospital Trust, Honefoss, Norway
| | - Julia Fuglum
- Department of Neurology, Lillehammer Hospital, Sykehuset Innlandet Hospital Trust, Lillehammer, Norway
| | | | - Marie Stugaard
- Department of Medicine, Ringerike Hospital, Vestre Viken Hospital Trust, Honefoss, Norway
- Institute for Surgical Research, University of Oslo, Oslo, Norway
| | | | | | - Christian Hall
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Bluhm S, Schramm P, Spreen‐Ledebur Y, Bluhm S, Münte TF, Eiersted MR, Wolfram F, van Hooff RR, Wienecke T, Royl G. Potential effects of a mobile stroke unit on time to treatment and outcome in patients treated with thrombectomy or thrombolysis: A Danish-German cross-border analysis. Eur J Neurol 2024; 31:e16298. [PMID: 38682808 PMCID: PMC11295161 DOI: 10.1111/ene.16298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/04/2024] [Accepted: 03/26/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND AND PURPOSE A mobile stroke unit (MSU) reduces delays in stroke treatment by allowing thrombolysis on board and avoiding secondary transports. Due to the beneficial effect in comparison to conventional emergency medical services, current guidelines recommend regional evaluation of MSU implementation. METHODS In a descriptive study, current pathways of patients requiring a secondary transport for mechanical thrombectomy were reconstructed from individual patient records within a Danish (n = 122) and an adjacent German region (n = 80). Relevant timestamps included arrival times (on site, primary hospital, thrombectomy centre) as well as the initiation of acute therapy. An optimal MSU location for each region was determined. The resulting time saving was translated into averted disability-adjusted life years (DALYs). RESULTS For each region, the optimal MSU location required a median driving time of 35 min to a stroke patient. Time savings in the German region (median [Q1; Q3]) were 7 min (-15; 31) for thrombolysis and 35 min (15; 61) for thrombectomy. In the Danish region, the corresponding time savings were 20 min (8; 30) and 43 min (25; 66). Assuming 28 thrombectomy cases and 52 thrombolysis cases this would translate to 9.4 averted DALYs per year justifying an annual net MSU budget of $0.8M purchasing power parity dollars (PPP-$) in the German region. In the Danish region, the MSU would avert 17.7 DALYs, justifying an annual net budget of PPP-$1.7M. CONCLUSION The effects of an MSU can be calculated from individual patient pathways and reflect differences in the hospital infrastructure between Denmark and Germany.
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Affiliation(s)
- Susanna Bluhm
- Department of NeurologyUniversity of LübeckLübeckGermany
- St Vinzenz‐HospitalKölnGermany
| | - Peter Schramm
- Department of NeuroradiologyUniversity of LübeckLübeckGermany
- Neurovascular CenterUniversity Hospital Schleswig‐HolsteinLübeckGermany
| | | | | | - Thomas F. Münte
- Department of NeurologyUniversity of LübeckLübeckGermany
- Neurovascular CenterUniversity Hospital Schleswig‐HolsteinLübeckGermany
| | | | - Frauke Wolfram
- Department of RadiologyZealand University HospitalRoskildeDenmark
| | - Robbert‐Jan Roderick van Hooff
- Department of NeurologyZealand University HospitalRoskildeDenmark
- Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Troels Wienecke
- Department of NeurologyZealand University HospitalRoskildeDenmark
- Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Georg Royl
- Department of NeurologyUniversity of LübeckLübeckGermany
- Neurovascular CenterUniversity Hospital Schleswig‐HolsteinLübeckGermany
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Karmelić I, Rubić I, Starčević K, Ozretić D, Poljaković Z, Sajko MJ, Kalousek V, Kalanj R, Rešetar Maslov D, Kuleš J, Roje Bedeković M, Sajko T, Rotim K, Mrljak V, Fabris D. Comparative Targeted Metabolomics of Ischemic Stroke: Thrombi and Serum Profiling for the Identification of Stroke-Related Metabolites. Biomedicines 2024; 12:1731. [PMID: 39200198 PMCID: PMC11351249 DOI: 10.3390/biomedicines12081731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 07/23/2024] [Accepted: 07/31/2024] [Indexed: 09/02/2024] Open
Abstract
Ischemic stroke is one of the leading causes of death and permanent disability in the world. Rapid diagnosis and intervention are crucial for reducing its consequences on individuals and societies. Therefore, identifying reliable biomarkers for early detection, prognostics, and therapy can facilitate the early prediction and prevention of stroke. Metabolomics has been shown as a promising tool for biomarker discovery since many post-ischemic metabolites can be found in the plasma or serum of the patient. In this research, we performed a comparative targeted metabolomic analysis of stroke thrombi, stroke patient serums, and healthy control serums in order to determine the alteration in the patients' metabolomes, which might serve as biomarkers for early prediction or stroke prevention. The most statistically altered metabolites characterized in the patient serums compared with the control serums were glutamate and serotonin, followed by phospholipids and triacylglycerols. In stroke thrombi compared with the patients' serums, the most significantly altered metabolites were classified as lipids, with choline-containing phospholipids and sphingomyelins having the highest discriminatory score. The results of this preliminary study could help in understanding the roles of different metabolic changes that occur during thrombosis and cerebral ischemia and possibly suggest new metabolic biomarkers for ischemic stroke.
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Affiliation(s)
- Ivana Karmelić
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
| | - Ivana Rubić
- Laboratory of Proteomics, Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Katarina Starčević
- Department of Neurology, University Hospital Centre “Zagreb”, Kišpatićeva 12, 10000 Zagreb, Croatia
| | - David Ozretić
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Centre “Zagreb”, Kišpatićeva 12, 10000 Zagreb, Croatia
| | - Zdravka Poljaković
- Department of Neurology, University Hospital Centre “Zagreb”, Kišpatićeva 12, 10000 Zagreb, Croatia
| | - Mia Jurilj Sajko
- Department of Neurosurgery, University Hospital Centre “Sestre Milosrdnice”, Vinogradska cesta 29, 10000 Zagreb, Croatia
| | - Vladimir Kalousek
- Department of Radiology, University Hospital Centre “Sestre Milosrdnice”, Vinogradska cesta 29, 10000 Zagreb, Croatia
| | - Rafaela Kalanj
- Department of Neurology, University Hospital Centre “Sestre Milosrdnice”, Vinogradska cesta 29, 10000 Zagreb, Croatia
| | - Dina Rešetar Maslov
- Laboratory of Proteomics, Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Josipa Kuleš
- Department of Chemistry and Biochemistry, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Marina Roje Bedeković
- Department of Neurology, University Hospital Centre “Sestre Milosrdnice”, Vinogradska cesta 29, 10000 Zagreb, Croatia
| | - Tomislav Sajko
- Department of Neurosurgery, University Hospital Centre “Sestre Milosrdnice”, Vinogradska cesta 29, 10000 Zagreb, Croatia
| | - Krešimir Rotim
- Department of Neurosurgery, University Hospital Centre “Sestre Milosrdnice”, Vinogradska cesta 29, 10000 Zagreb, Croatia
| | - Vladimir Mrljak
- Laboratory of Proteomics, Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Dragana Fabris
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
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Ajmi SC, Kurz M, Lindner TW, Dalen I, Ersdal HL. Does clinical experience influence the effects of team simulation training in stroke thrombolysis? A prospective cohort study. BMJ Open 2024; 14:e086413. [PMID: 39009456 PMCID: PMC11253759 DOI: 10.1136/bmjopen-2024-086413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/02/2024] [Indexed: 07/17/2024] Open
Abstract
OBJECTIVES After introducing a team simulation training programme at our hospital, we saw a reduction in door-to-needle times (DNT) for stroke thrombolysis but persisting variability prompting further investigation. Our objective is to examine this gap through assessing: (1) whether there is an association between DNT and the clinical experience of neurology registrars and (2) whether experience influences the benefits from attending simulation. DESIGN Prospective cohort study. SETTING AND PARTICIPANTS Patients treated with intravenous thrombolysis between January 2016 and 2020 at a Norwegian stroke centre. PRIMARY AND SECONDARY OUTCOME MEASURES Using DNT and prior intravenous thrombolysis administrations (case-based definition of clinical experience) as continuous variables, a mixed effects linear regression model was performed to examine the association between clinical experience, DNT and simulation attendance. For dichotomised analyses, neurology registrars with 15 or more prior treatments were defined as experienced. RESULTS A total of 532 patients treated by 36 neurology registrars from January 2016 to 2020 were included. There was a linear association between clinical experience and DNT (test for non-linearity p=0.479). Each prior intravenous thrombolysis administration was associated with a significant 1.1% decrease in DNT in the adjusted analysis (ΔDNT -1.1%; 95% CI, -2.2% to -0.0%; p=0.048). The interaction between effects of clinical experience and simulation on DNT was not statistically significant (p=0.150). In the dichotomised analysis, experienced registrars had similar gains from attending simulation sessions (mean DNT from 18.5 min to 13.5 min) compared with less experienced registrars (mean DNT from 22.4 min to 17.4 min). CONCLUSIONS Less experienced registrars had longer DNT in stroke thrombolysis. Attending team simulation training was associated with similar improvements for experienced and inexperienced neurology registrars. We suggest a focus on high-quality onboarding programmes to close the experience-related quality gap. Our findings suggest that both inexperienced and experienced neurology registrars might benefit from team simulation training for stroke thrombolysis.
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Affiliation(s)
- Soffien Chadli Ajmi
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
- Faculty of Health Sciences University of Stavanger, Stavanger, Norway
| | - Martin Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
- Institute of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Thomas Werner Lindner
- Department of Simulation-based Learning, Stavanger University Hospital, Stavanger, Norway
- Regional Centre for Emergency Medical Research and Development, Stavanger, Norway
| | - Ingvild Dalen
- Department of Research, Stavanger University Hospital, Stavanger, Norway
| | - Hege Langli Ersdal
- Faculty of Health Sciences University of Stavanger, Stavanger, Norway
- Department of Simulation-based Learning, Stavanger University Hospital, Stavanger, Norway
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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] [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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Valentin JB, Hansen NH, Behrndtz AB, Væggemose U, Gude MF. Effect of urgency level on prehospital emergency transport times: a natural experiment. Intern Emerg Med 2024; 19:445-453. [PMID: 38123903 PMCID: PMC10954969 DOI: 10.1007/s11739-023-03501-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
Accurate estimation of ambulance transport time from the scene of incident to arrival at the emergency department (ED) is important for effective resource management and emergency care system planning. Further, differences in transport times between different urgency levels highlight the benefits of ambulance transports with highest urgency level in a setting where ambulances are allowed to not follow standard traffic rules. The objective of the study is to compare ambulance urgency level on the differences in estimates of ambulance transport times generated by Google Maps and the observed transport times in a prehospital setting where emergency vehicles have their own traffic laws. The study was designed as a natural experiment and register study. Ambulance transports dispatched with different levels of urgency (Level A and B) were included in the Central Denmark Region (a mixed urban and rural area) from March 10 to June 11, 2021. Ambulance transports for highest urgency level were compared to lowest urgency level with Google Maps estimated transport times as reference. We analyzed 1981 highest urgency level and 8.958 lowest urgency level ambulance transports. Google Maps significantly overestimated the duration of transports operating at highest level of urgency (Level A) by 1.9 min/10 km (95% CI 1.8; 2.0) in average and 4.8 min/10 km (95% CI 3.9; 5.6) for the first driven 10 km. Contrary, Google Maps significantly underestimated the duration of transports operating at lowest level of urgency (Level B) by -1.8 min/10 km (95% CI -2.1; -1.5) in average and -4.4 min/10 km (95% CI -5.4; -3.5) for the first driven 10 km. Google Maps systematically overestimates transport times of ambulance transports driven with Level A, the highest level of urgency in a setting where ambulances are allowed to not follow standard traffic rules. The results highlight the benefit of using urgency Level A and provide valuable information for emergency care management.
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Affiliation(s)
- Jan Brink Valentin
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Nanna Høgh Hansen
- Department of Research and Development, Prehospital Emergency Medical Services, Central Denmark Region, Denmark
| | | | - Ulla Væggemose
- Department of Research and Development, Prehospital Emergency Medical Services, Central Denmark Region, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Martin Faurholdt Gude
- Department of Research and Development, Prehospital Emergency Medical Services, Central Denmark Region, Denmark
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Forman R, Okumu R, Mageid R, Baker A, Neu D, Parker R, Peyravi R, Schindler JL, Sansing LH, Sheth KN, de Havenon A, Jasne A, Narula R, Wira C, Warren J, Sharma R. Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke. Neurology 2024; 102:e207764. [PMID: 38165368 PMCID: PMC10834135 DOI: 10.1212/wnl.0000000000207764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Delivery of acute ischemic stroke (AIS) therapies is contingent on the duration from last known well (LKW) to emergency department arrival time (EDAT). One reason for treatment ineligibility is delay in presentation to the hospital. We evaluate patient and neighborhood characteristics associated with time from LKW to EDAT. METHODS This was a retrospective observational study of patients presenting to the Yale New Haven Hospital in the AIS code pathway from 2010 to 2020. Patients presenting within 4.5 hours from LKW who were recorded in the institutional Get With the Guidelines Stroke registry were classified as early while those presenting beyond 4.5 hours were designated as late. Temporal trends in late presentation were explored by univariate logistic regression. Using variables significant in univariate analysis at p < 0.05, we developed a mixed-effect logistic regression model to estimate the probability of late presentation as a function of patient-level and neighborhood (ZIP)-level characteristics (area deprivation index [ADI] derived from the Health Resources and Services Administration), adjusted for calendar year and geographic distance from the centroid of the ZIP code to the hospital. RESULTS A total of 2,643 patients with AIS from 2010 to 2020 were included (63.4% presented late and 36.6% presented early). The frequency of late presentation increased significantly from 68% in 2010 to 71% in 2020 (p = 0.002) and only among non-White patients. Patients presenting late were more likely to be non-White (37.1% vs 26.9%, p < 0.0001), arrive by means other than emergency medical services (EMS) (32.7% vs 16.1%, p < 0.0001), have an NIHSS <6 (68.7% vs 55.2%, p < 0.0001), and present from a neighborhood with a higher ADI category (p = 0.0001) that was nearer to the hospital (median 5.8 vs 7.7 miles, p = 0.0032). In the mixed model, the ADI by units of 10 (odds ratio [OR] 1.022, 95% confidence interval [CI] 1.020-1.024), non-White race (OR 1.083, 95% CI 1.039-1.127), arrival by means other than EMS (OR 1.193, 95% CI 1.145-1.124), and an NIHSS <6 (OR 1.085, 95% CI 1.041-1.129) were associated with late presentation. DISCUSSION In addition to patient-level factors, socioeconomic deprivation of neighborhood of residence contributes to delays in hospital presentation for AIS. These findings may provide opportunities for targeted interventions to improve presentation times in at-risk communities.
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Affiliation(s)
- Rachel Forman
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Rita Okumu
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Razaz Mageid
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Anna Baker
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Dalton Neu
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Ranisha Parker
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Reza Peyravi
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Joseph L Schindler
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Lauren H Sansing
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Kevin N Sheth
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Adam de Havenon
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Adam Jasne
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Reshma Narula
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Charles Wira
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Joshua Warren
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
| | - Richa Sharma
- From the Departments of Neurology (R.F., R.O., R.M., A.B., D.N., R. Parker, R. Peyravi, J.L.S., L.H.S., K.N.S., A.H., A.J., R.N., R.S.) and Emergency Medicine (C.W.), Yale School of Medicine, New Haven, CT; and Department of Biostatistics (J.W.), Yale School of Public Health, New Haven, CT
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10
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Tan E, Gao L, Tran HN, Cadilhac D, Bladin C, Moodie M. Telestroke for acute ischaemic stroke: A systematic review of economic evaluations and a de novo cost-utility analysis for a middle income country. J Telemed Telecare 2024; 30:18-30. [PMID: 34292801 DOI: 10.1177/1357633x211032407] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Telemedicine can alleviate the problems faced in rural settings in providing access to specialist stroke care. The evidence of the cost-effectiveness of this model of care outside high-income countries is limited. This study aimed to conduct: (a) a systematic review of economic evaluations of telestroke and (b) a cost-utility analysis of telestroke, using China as a case study. METHODS We systematically searched Embase, Medline Complete and Cochrane databases. Inclusion criteria: full economic evaluations of telemedicine/telestroke networks examining the use of thrombolysis in patients with acute ischaemic stroke, published in English. A cost-utility analysis was undertaken using a Markov model incorporating a decision tree to simulate the delivery of telestroke for acute ischaemic stroke in rural China, compared to no telestroke from a societal and healthcare perspective. One-way deterministic sensitivity analyses and probabilistic sensitivity analyses were performed to test the robustness of results. RESULTS Of 559 publications found, eight met the eligibility criteria and were included in the systematic review (two cost-effectiveness analyses and six cost-utility analyses, all performed in high-income countries). Telestroke was a cost-saving/cost-effective intervention in five out of the eight studies. In our modelled analysis for rural China, telestroke was the dominant strategy, with estimated cost savings of Chinese yuan 4,328 (US$627) and additional 0.0925 quality-adjusted life years per patient. Sensitivity analyses confirmed the base case results. DISCUSSION Consistent with published economic evaluations of telestroke in other jurisdictions, telestroke represents a cost-effective solution to enhance stroke care in rural China.
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Affiliation(s)
- Elise Tan
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Australia
| | - Lan Gao
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Australia
| | - Huong Nq Tran
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Australia
| | - Dominique Cadilhac
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Australia
| | - Chris Bladin
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Australia
- Public Health and Health Services Research, The Florey Institute Neuroscience and Mental Health, University of Melbourne, Australia
- Ambulance Victoria, Australia
- Eastern Health Clinical School, Monash University, Australia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Australia
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11
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Charbonnier G, Consoli A, Bonnet L, Biondi A, Vuillier F, Rabenorosoa K, Mendes Pereira V, Moulin T. Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics? Digit Health 2024; 10:20552076241254986. [PMID: 38766366 PMCID: PMC11100382 DOI: 10.1177/20552076241254986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/23/2024] [Indexed: 05/22/2024] Open
Abstract
Objective Selected patients with large vessel occlusion (LVO) strokes can benefit from endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how quickly the patient receives treatment. Recent technological developments have led to the first neurointerventional treatments using robotic assistance, opening up the possibility of performing remote stroke interventions. Existing telestroke networks provide acute stroke care, including remote administration of intravenous thrombolysis (IVT). Therefore, the introduction of remote EVT in distant stroke centers requires an adaptation of the existing telestroke networks. The aim of this work was to propose a framework for centers that are potential candidates for telerobotics according to the resources currently available in these centers. Methods In this paper, we highlight the future challenges for including remote robotics in telestroke networks. A literature review provides potential solutions. Results Existing telestroke networks need to determine which centers to prioritize for remote robotic technologies based on objective criteria and cost-effectiveness analysis. Organizational challenges include regional coordination and specific protocols. Technological challenges mainly concern telecommunication networks. Conclusions Specific adaptations will be necessary if regional telestroke networks are to include remote robotics. Some of these can already be put in place, which could greatly help the future implementation of the technology.
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Affiliation(s)
- Guillaume Charbonnier
- CHU Besançon, Interventional Neuroradiology Department, Besançon, France
- CHU Besançon, Neurology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
| | - Arturo Consoli
- Interventional Neuroradiology Department, Hôpital Foch, Paris, France
| | - Louise Bonnet
- CHU Besançon, Neurology Department, Besançon, France
| | - Alessandra Biondi
- CHU Besançon, Interventional Neuroradiology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
| | - Fabrice Vuillier
- CHU Besançon, Neurology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
| | | | - Vitor Mendes Pereira
- St. Michael's Hospital Li Ka Shing Knowledge Institute, RADIS Lab, Toronto, ON, Canada
- Department of Neurosurgery, St. Michael's Hospital, Toronto, ON, Canada
| | - Thierry Moulin
- CHU Besançon, Neurology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
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12
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Dixon M, Appleton JP, Siriwardena AN, Williams J, Bath PM. A systematic review of ambulance service-based randomised controlled trials in stroke. Neurol Sci 2023; 44:4363-4378. [PMID: 37405524 PMCID: PMC10641071 DOI: 10.1007/s10072-023-06910-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 06/12/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND Treatment for stroke is time-dependent, and ambulance services play a vital role in the early recognition, assessment and transportation of stroke patients. Innovations which begin in ambulance services to expedite delivery of treatments for stroke are developing. However, research delivery in ambulance services is novel, developing and not fully understood. AIMS To synthesise literature encompassing ambulance service-based randomised controlled interventions for acute stroke with consideration to the characteristics of the type of intervention, consent modality, time intervals and issues unique to research delivery in ambulance services. Online searches of MEDLINE, EMBASE, Web of Science, CENTRAL and WHO IRCTP databases and hand searches identified 15 eligible studies from 538. Articles were heterogeneous in nature and meta-analysis was partially available as 13 studies reported key time intervals, but terminology varied. Randomised interventions were evident across all points of contact with ambulance services: identification of stroke during the call for help, higher dispatch priority assigned to stroke, on-scene assessment and clinical interventions, direct referral to comprehensive stroke centres and definitive care delivery at scene. Consent methods ranged between informed patient, waiver and proxy modalities with country-specific variation. Challenges unique to the prehospital setting comprise the geographical distribution of ambulance resources, low recruitment rates, prolonged recruitment phases, management of investigational medicinal product and incomplete datasets. CONCLUSION Research opportunities exist across all points of contact between stroke patients and ambulance services, but randomisation and consent remain novel. Early collaboration and engagement between trialists and ambulance services will alleviate some of the complexities reported. REGISTRATION NUMBER PROSPERO 2018CRD42018075803.
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Affiliation(s)
- Mark Dixon
- Stroke Trials Unit, Mental Health & Clinical Neuroscience, University of Nottingham, Queens Medical Centre Campus, Nottingham, NG7 2UH, UK
- East Midlands Ambulance Service NHS Trust, Nottingham, UK
| | - Jason P Appleton
- Stroke Trials Unit, Mental Health & Clinical Neuroscience, University of Nottingham, Queens Medical Centre Campus, Nottingham, NG7 2UH, UK
- Stroke, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | | | - Julia Williams
- Department of Paramedic Science, School of Health and Social Work, University of Hertfordshire, Hatfield, UK
| | - Philip M Bath
- Stroke Trials Unit, Mental Health & Clinical Neuroscience, University of Nottingham, Queens Medical Centre Campus, Nottingham, NG7 2UH, UK.
- Stroke, Nottingham University Hospitals NHS Trust, Nottingham, UK.
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13
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Radu RA, Gascou G, Machi P, Capirossi C, Costalat V, Cagnazzo F. Current and future trends in acute ischemic stroke treatment: direct-to-angiography suite, middle vessel occlusion, large core, and minor strokes. Eur J Radiol Open 2023; 11:100536. [PMID: 37964786 PMCID: PMC10641156 DOI: 10.1016/j.ejro.2023.100536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 09/18/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Abstract
Since the publication of the landmark thrombectomy trials in 2015, the field of endovascular therapy for ischemic stroke has been rapidly growing. The very low number needed to treat to provide functional benefits shown by the initial randomized trials has led clinicians and investigators to seek to translate the benefits of endovascular therapy to other patient subgroups. Even if the treatment effect is diminished, currently available data has provided sufficient information to extend endovascular therapy to large infarct core patients. Recently, published data have also shown that sophisticated imaging is not necessary for late time- window patients. As a result, further research into patient selection and the stroke pathway now focuses on dramatically reducing door-to-groin times and improving outcomes by circumventing classical imaging paradigms altogether and employing a direct-to-angio suite approach for selected large vessel occlusion patients in the early time window. While the results of this approach mainly concern patients with severe deficits, there are further struggles to provide evidence of the efficacy and safety of endovascular treatment in minor stroke and large vessel occlusion, as well as in patients with middle vessel occlusions. The current lack of good quality data regarding these patients provides significant challenges for accurately selecting potential candidates for endovascular treatment. However, current and future randomized trials will probably elucidate the efficacy of endovascular treatment in these patient populations.
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Affiliation(s)
- Răzvan Alexandru Radu
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- Stroke Unit, Department of Neurology, University Emergency Hospital Bucharest, Bucharest, Romania
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania
| | - Gregory Gascou
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Paolo Machi
- Department of Neuroradiology, University of Geneva Medical Center, Switzerland
| | - Carolina Capirossi
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- Department of Neurointerventional Radiology, Careggi Hospital, Florence, Italy
| | - Vincent Costalat
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Federico Cagnazzo
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
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14
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Cheng W, Mofatteh M, Baizabal-Carvallo JF, Lu S, Su P, Chen Y, Li L, Qin L, Zuo X, Lan Y, Huang Y, Yu Z, Luo Z, Chen G. Impact of Thrombolysis Time Metrics When Participating in National Stroke Center Construction Project. J Multidiscip Healthc 2023; 16:3333-3338. [PMID: 37954470 PMCID: PMC10638894 DOI: 10.2147/jmdh.s432458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/19/2023] [Indexed: 11/14/2023] Open
Abstract
Purpose Intravenous thrombolysis has emerged as an effective approach to improve the long-term survival and functional status of patients with ischemic stroke. The aim of this study was to assess the impact of a national stroke project on the door-to-needle-time (DNT). Patients and Methods The patients were divided into pre-construction and construction periods. Construction Measures were performed during the construction period. The DNT and onset-to-needle time (ONT) were compared in two period groups. Results After participating in the National Stroke Center Project and effective measurements, the thrombolysis treatment metrics were improved significantly. The DNT (IQR) was shortened from 65.0 (54.5,85.0) minutes in the Pre-Construction period to 40.0 (33.0,53.0) minutes in the Construction period (p < 0.001). Similarly, the ONT was reduced from 157.0 (IQR) (115.0,184.0) minutes to 116.0 (87.8,170.0) minutes (p = 0.035). Conclusion The DNT time and ONT time can be shortened by National Stroke Center Construction projects. More suitable hospitals should be encouraged to participate as the National Stroke Center.
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Affiliation(s)
- Wanchun Cheng
- Department of Neurology and National Stroke Center, The 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Mohammad Mofatteh
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, UK
| | - José Fidel Baizabal-Carvallo
- Parkinson’s Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
- Department of Sciences and Engineering, University of Guanajuato, León, Mexico
| | - Shaohuan Lu
- Department of Neurology and National Stroke Center, The 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Ping Su
- Department of Neurology and National Stroke Center, The 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Yimin Chen
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
- Neuro International Collaboration (NIC), Foshan, People’s Republic of China
| | - Luoming Li
- Department of Neurology and National Stroke Center, The 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Lizhi Qin
- Department of Neurology and National Stroke Center, The 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Xingmei Zuo
- Department of Neurology and National Stroke Center, The 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Yifeng Lan
- Department of Radiology, the 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Yue Huang
- Department of Emergency, the 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Zhihui Yu
- Department of Laboratory Medicine, the 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Zirui Luo
- Dean’s Office, the 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
| | - Gang Chen
- Dean’s Office, the 5th People’s Hospital of Foshan City, Foshan, People’s Republic of China
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15
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Gude MF, Valentin JB, Christensen HC, Mikkelsen S, Søvsø MB, Andersen G, Kirkegaard H, Johnsen SP. Associations between emergency call stroke triage and pre-hospital delay, primary hospital admission, and acute reperfusion treatment among early comers with acute ischemic stroke. Intern Emerg Med 2023; 18:2355-2365. [PMID: 37369888 PMCID: PMC10635938 DOI: 10.1007/s11739-023-03349-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023]
Abstract
To investigate the association between the Emergency Medical Service dispatcher's initial stroke triage and prehospital stroke management, primary admission to hospitals offering revascularization treatment, prehospital time delay, and rate of acute revascularization. In an observational cohort study, patients with acute ischemic stroke (AIS) in Denmark (2017-2018) were included if the emergency call to the Emergency Medical Dispatch Center (EMDC) was made within three hours after symptom onset. Among 3546 included AIS patients, the EMS dispatcher identified 74.6% (95% confidence interval (CI) 73.1-76.0) correctly as stroke. EMS dispatcher stroke recognition was associated with a higher rate of primary admission to a hospital offering revascularization treatment (85.8 versus 74.5%); producing an adjusted risk difference (RD) of 11.1% (95% CI 7.8; 14.3) and a higher rate of revascularization treatment (49.6 versus 41.6%) with an adjusted RD of 8.4% (95% CI 4.6; 12.2). We adjusted for sex, age, previous stroke or transient ischemic attack, and stroke severity. EMDC stroke recognition was associated with shorter prehospital delay. For all AIS patients, the adjusted difference was - 33.2 min (95% CI - 44.4; - 22.0). Among patients receiving acute revascularization treatment (n = 1687), the adjusted difference was -12.6 min (95% CI - 18.9; - 6.3). Stroke recognition by the EMS dispatcher was associated with a higher probability of primary admission to a hospital offering acute stroke treatment, and subsequently with a higher rate of acute revascularization treatment, and with an overall reduction in prehospital delay.
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Affiliation(s)
- Martin F Gude
- Research and Development, Prehospital Emergency Medical Services, Central Denmark Region and Aarhus University, Aarhus, Denmark.
- Department of Anaesthesiology and Intensive Care, Aarhus University Hospital, Central Denmark Region, Aarhus, Denmark.
| | - Jan B Valentin
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Helle C Christensen
- Copenhagen Emergency Medical Services, Capital Region of Denmark, Copenhagen, Denmark
- Danish Clinical Quality Program (RKKP), National Clinical Registries, Copenhagen, Denmark
| | - Søren Mikkelsen
- The Prehospital Research Unit, Region of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Morten B Søvsø
- Centre for Prehospital and Emergency Research, Aalborg University and Aalborg University Hospital, Aalborg, Denmark
| | - Grethe Andersen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Hans Kirkegaard
- Research and Development, Prehospital Emergency Medical Services, Central Denmark Region and Aarhus University, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Søren P Johnsen
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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16
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Gunnarsson B, Björnsdóttir KM, Dúason S, Ingólfsson Á. Locating helicopter ambulance bases in Iceland: efficient and fair solutions. Scand J Trauma Resusc Emerg Med 2023; 31:70. [PMID: 37915061 PMCID: PMC10621180 DOI: 10.1186/s13049-023-01114-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 09/04/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Fixed-wing air ambulances play an important role in healthcare in rural Iceland. More frequent use of helicopter ambulances has been suggested to shorten response times and increase equity in access to advanced emergency care. In finding optimal base locations, the objective is often efficiency-maximizing the number of individuals who can be reached within a given time. This approach benefits people in densely populated areas more than people living in remote areas and the solution is not necessarily fair. This study aimed to find efficient and fair helicopter ambulance base locations in Iceland. METHODS We used high-resolution population and incident location data to estimate the service demand for helicopter ambulances, with possible base locations limited to twenty-one airports and landing strips around the country. Base locations were estimated using both the maximal covering location problem (MCLP) optimization model, which aimed for maximal coverage of demand, and the fringe sensitive location problem (FSLP) model, which also considered uncovered demand (i.e., beyond the response time threshold). We explored the percentage of the population and incidents covered by one to three helicopter bases within 45-, 60-, and 75-min response time thresholds, conditioned or not, on the single existing base located at Reykjavík Airport. This resulted in a total of eighteen combinations of conditions for each model. The models were implemented in R and solved using Gurobi. RESULTS Model solutions for base locations differed between the demand datasets for two out of eighteen combinations, both with the lowest service standard. Base locations differed between the MCLP and FSLP models for one combination involving a single base, and for two combinations involving two bases. Three bases covered all or almost all demand with longer response time thresholds, and the models differed in four of six combinations. The two helicopter ambulance bases can possibly obtain 97% coverage within 60 min, with bases in Húsafell and Grímsstaðir. Bases at Reykjavík Airport and Akureyri would cover 94.2%, whereas bases at Reykjavík Airport and Egilsstaðir would cover 88.5% of demand. CONCLUSION An efficient and fair solution would be to locate bases at Reykjavík Airport and in Akureyri or Egilsstaðir.
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Affiliation(s)
- Björn Gunnarsson
- Institute of Health Science Research, University of Akureyri, Akureyri, Iceland.
- Akureyri Hospital, Akureyri, Iceland.
| | | | - Sveinbjörn Dúason
- Institute of Health Science Research, University of Akureyri, Akureyri, Iceland
| | - Ármann Ingólfsson
- Alberta School of Business, University of Alberta, Edmonton, Alberta, Canada
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17
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Shi X, Feng L, Li Y, Qin M, Li T, Cheng Z, Zhang X, Zhou C, Cheng S, Zhang C, Gao Y. Efficacy and safety of Panax notoginseng saponins (Xuesaitong) for patients with acute ischemic stroke: a systematic review and meta-analysis of randomized controlled trials. Front Pharmacol 2023; 14:1280559. [PMID: 37908976 PMCID: PMC10614024 DOI: 10.3389/fphar.2023.1280559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 09/26/2023] [Indexed: 11/02/2023] Open
Abstract
Background: Stroke is the major cause of mortality and permanent disability and is associated with an astonishing economic burden worldwide. In the past few decades, accumulated evidence has indicated that Xuesaitong (XST) has therapeutic benefits in cases of acute ischemic stroke (AIS). Our study aimed to provide the best current body of evidence of the efficacy and safety of XST for patients with AIS. Methods: This is a systematic review and meta-analysis of randomized controlled trials (RCTs). We searched eight electronic databases from inception to 17 July 2023 for relevant RCTs. The investigators independently screened trials, extracted data, and assessed the risk of bias. A meta-analysis was conducted using RevMan 5.3 and STATA 16.0 software. Results: In total, 46 RCTs involving 7,957 patients were included. The results showed that XST improved the long-term functional outcomes with lower modified Rankin Scale (mRS) scores (MD = -0.67; 95% CI [-0.92 to -0.42]; p < 0.00001) and a higher proportion of functional independence (mRS ≤2) (RR = 1.08; 95% CI [1.05 to 1.12]; p < 0.00001). Low-quality evidence indicated that XST improved the activities of daily living (MD = 10.17; 95% CI [7.28 to 13.06]; p < 0.00001), improved the neurological impairment (MD = -3.39; 95% CI [-3.94 to -2.84]; p < 0.00001), and enhanced the total efficiency rate (RR = 1.19; 95% CI [1.15 to 1.23]; p < 0.00001). No significant difference was found in the all-cause mortality or incidence of adverse events between the XST and control groups. The certainty of evidence was estimated as moderate to very low. Conclusion: Presently, the administration of XST within 14 days of AIS is associated with favorable long-term functional outcomes. In addition, XST can improve activities of daily living, alleviate neurological deficits, and has shown good tolerability. However, the current evidence is too weak, and the confidence of evidence synthesis was restricted by the high risk of bias. Given the insufficient evidence, appropriately sized and powered RCTs investigating the efficacy and safety of XST for patients with AIS are warranted. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=446208, CRD42023446208.
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Affiliation(s)
- Xinyi Shi
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Luda Feng
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yixuan Li
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Mingzhen Qin
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Tingting Li
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Zixin Cheng
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xuebin Zhang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Congren Zhou
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Sisong Cheng
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chi Zhang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ying Gao
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
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Chen J, Lin Y, Li J, Zhang P, Wang Y, Chen Y, Zhang C, Li C. Efficacy and safety of short-term high dosage dual antiplatelet therapy after 0.6 mg/kg rt-PA intravenous thrombolysis for acute ischemic stroke. Medicine (Baltimore) 2023; 102:e35099. [PMID: 37682162 PMCID: PMC10489488 DOI: 10.1097/md.0000000000035099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 08/16/2023] [Indexed: 09/09/2023] Open
Abstract
OBJECTIVE To evaluate the efficacy and safety of short-term high-dose of dual antiplatelet therapy after 0.6 mg/kg rt-PA intravenous thrombolysis for acute ischemic stroke (AIS). METHODS All 208 patients with AIS were randomized into group 1 (103 cases, after 0.6 mg/kg rt-PA, 300 mg of oral aspirin(ASP) q.d. and 225 mg of oral clopidogrel (CLO) q.d. for for 5 days, then 100 mg of oral ASP q.d. for the next 85 days and 75 mg of oral CLO q.d. for the next 16 days) and group 2 (105 cases, after 0.9 mg/kg rt-PA, 100 mg of oral ASP q.d. for 90 days and 75 mg of oral CLO q.d. for 21 days).The efficacy index was the mRS score, NIHSS score and recurrence risk of stroke, while the safety index was the incidence of bleeding events and mortality. All parameters were evaluated at 30 and 90 days after thrombolysis. Patients whose characteristics may provide the best treatment benefit were further analyzed using the logistic regression model in group 1. RESULTS The proportion of mRS scores between 0 and 1 in group 1 was higher than that in group 2 at both 30 days (44.7% vs 32.4%, P < .05) and 90 days (50.5% vs 35.2%, P < .05). Compared to group 2, the proportion of NIHSS scores less than 4 was significantly higher in group 1 at both 30 days (37.9% vs 25.7%, P < .05) and 90 days (46.6% vs 30.5%, P < .05). At 90 days, Group 1 had a lower stroke recurrence risk than Group 2 (3.9% vs 10.5%, P < .05). The incidence of SICH was significantly different between the 2 groups at both 30 days (2.9% vs 9.5%, P < .05) and 90 days (2.9% vs 10.5%, P < .05). However, other bleeding events and mortality rates were not significantly different between the 2 groups. The lower the baseline NIHSS score and the shorter the OTT, the more favorable the outcomes obtained at 90 days. CONCLUSIONS Compared to standard doses, short term high-dose dual antiplatelet therapy after 0.6 mg/kg rt-PA intravenous thrombolysis may be a good choice for AIS patients.
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Affiliation(s)
- Jing Chen
- Department of Neurology, Characteristic Medical Centre of People’s Armed Police Force, Tianjin, P.R. China
- Tianjin Medical University, Tianjin, P.R. China
| | - Yanchen Lin
- Department of Rehabilitation, Characteristic Medical Centre of People’s Armed Police Force, Tianjin, P.R. China
- Army Medical University, Chongqing, P. R. China
| | - Jingjing Li
- Department of Pharmacy, Tianjin Fourth Central Hospital, Tianjin, P. R. China
| | - Peilan Zhang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, P.R. China
| | - Yuxin Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, P.R. China
| | - Yan Chen
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, P.R. China
| | - Chenhao Zhang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, P.R. China
| | - Chenhua Li
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, P.R. China
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19
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Guterud M, Fagerheim Bugge H, Røislien J, Kramer-Johansen J, Toft M, Ihle-Hansen H, Bache KG, Larsen K, Braarud AC, Sandset EC, Ranhoff Hov M. Prehospital screening of acute stroke with the National Institutes of Health Stroke Scale (ParaNASPP): a stepped-wedge, cluster-randomised controlled trial. Lancet Neurol 2023; 22:800-811. [PMID: 37596006 DOI: 10.1016/s1474-4422(23)00237-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND Timely treatment of acute stroke depends on early identification and triage. Improved methods for recognition of stroke in the prehospital setting are needed. We aimed to assess whether use of the National Institutes of Health Stroke Scale (NIHSS) by paramedics in the ambulance could improve communication with the hospital, augment triage, and enhance diagnostic accuracy of acute stroke. METHODS The Paramedic Norwegian Acute Stroke Prehospital Project (ParaNASPP) was a stepped-wedge, single-blind, cluster-randomised controlled trial. Patients with suspected acute stroke, who were evaluated by paramedics from five ambulance stations in Oslo, Norway, were eligible for inclusion. The five ambulance stations (defined as clusters) all initially managed patients according to a standard stroke protocol (control group), with randomised sequential crossover of each station to the intervention group. The intervention consisted of supervised training on NIHSS scoring, a mobile application to aid scoring, and standardised communication with stroke physicians. Random allocation was done via a simple lottery draw by administrators at Oslo University Hospital, who were independent of the research team. Allocation concealment was not possible due to the nature of the intervention. The primary outcome was the positive predictive value (PPV) for prehospital identification of patients with a final discharge diagnosis of acute stroke, analysed by intention to treat. Prespecified secondary safety outcomes were median prehospital on-scene time and median door-to-needle time. This trial is registered with ClinicalTrials.gov, NCT04137874, and is completed. FINDINGS Between June 3, 2019, and July 1, 2021, 935 patients were evaluated by paramedics for suspected acute stroke. 134 patients met exclusion criteria or did not consent to participate. The primary analysis included 447 patients in the intervention group and 354 in the control group. There was no difference in PPV for prehospital identification of patients with a final discharge diagnosis of acute stroke between the intervention group (48·1%, 95% CI 43·4-52·8) and control group (45·8%, 40·5-51·1), with an estimated percentage points difference between groups of 2·3 (95% CI -4·6 to 9·3; p=0·51). Median prehospital on-scene time increased by 5 min in the intervention group (29 min [IQR 23-36] vs 24 min [19-31]; p<0·0001), whereas median door-to-needle time was similar between groups (26 min [21-36] vs 27 min [20-36]; p=0·90). No prehospital deaths were reported in either group. INTERPRETATION The intervention did not improve diagnostic accuracy in patients with suspected stroke. A general increase in prehospital time during the pandemic and the identification of smaller strokes that require more deliberation are possible explanations for the increased on-scene time. The ParaNASPP model is to be implemented in Norway from 2023, and will provide real-life data for further research. FUNDING Norwegian Air Ambulance Foundation and Oslo University Hospital.
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Affiliation(s)
- Mona Guterud
- Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway; Division of Prehospital Services, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Helge Fagerheim Bugge
- Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Jo Røislien
- Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Jo Kramer-Johansen
- Norwegian National Advisory Unit on Prehospital Emergency Medicine (NAKOS) and Air Ambulance Department, Division of Prehospital Services, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Kristi G Bache
- Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Research and Dissemination, Østfold University College, Halden, Norway
| | - Karianne Larsen
- Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway
| | | | - Else Charlotte Sandset
- Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Maren Ranhoff Hov
- Department of Research, Norwegian Air Ambulance Foundation, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway; Department of Health Science, Oslo Metropolitan University, Oslo, Norway.
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20
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Zaid Al-Kaylani AHA, Schuurmann RCL, Maathuis WD, Slart RHJA, de Vries JPPM, Bokkers RPH. Clinical Applications of Conebeam CTP Imaging in Cerebral Disease: A Systematic Review. AJNR Am J Neuroradiol 2023; 44:922-927. [PMID: 37414451 PMCID: PMC10411850 DOI: 10.3174/ajnr.a7930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 06/11/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Perfusion imaging with multidetector CT is integral to the evaluation of patients presenting with ischemic stroke due to large-vessel occlusion. Using conebeam CT perfusion in a direct-to-angio approach could reduce workflow times and improve functional outcome. PURPOSE Our aim was to provide an overview of conebeam CT techniques for quantifying cerebral perfusion, their clinical applications, and validation. DATA SOURCES A systematic search was performed for articles published between January 2000 and October 2022 in which a conebeam CT imaging technique for quantifying cerebral perfusion in human subjects was compared against a reference technique. STUDY SELECTION Eleven articles were retrieved describing 2 techniques: dual-phase (n = 6) and multiphase (n = 5) conebeam CTP. DATA ANALYSIS Descriptions of the conebeam CT techniques and the correlations between them and the reference techniques were retrieved. DATA SYNTHESIS Appraisal of the quality and risk of bias of the included studies revealed little concern about bias and applicability. Good correlations were reported for dual-phase conebeam CTP; however, the comprehensiveness of its parameter is unclear. Multiphase conebeam CTP demonstrated the potential for clinical implementation due to its ability to produce conventional stroke protocols. However, it did not consistently correlate with the reference techniques. LIMITATIONS The heterogeneity within the available literature made it impossible to apply meta-analysis to the data. CONCLUSIONS The reviewed techniques show promise for clinical use. Beyond evaluating their diagnostic accuracy, future studies should address the practical challenges associated with implementing these techniques and the potential benefits for different ischemic diseases.
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Affiliation(s)
- A H A Zaid Al-Kaylani
- Department of Radiology (A.H.A.Z.A., R.H.J.A.S., R.P.H.B.), Medical Imaging Center
- Department of Surgery (A.H.A.Z.A., R.C.L.S., J.-P.M.P.d.V.), Division of Vascular Surgery
| | - R C L Schuurmann
- Department of Surgery (A.H.A.Z.A., R.C.L.S., J.-P.M.P.d.V.), Division of Vascular Surgery
| | - W D Maathuis
- Department of Biomedical Photonic Imaging (W.D.M., R.H.J.A.S.), Faculty of Science and Technology, University of Twente, Enschede, the Netherlands
| | - R H J A Slart
- Department of Radiology (A.H.A.Z.A., R.H.J.A.S., R.P.H.B.), Medical Imaging Center
- Department of Nuclear Medicine and Molecular Imaging (R.H.J.A.S.), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Biomedical Photonic Imaging (W.D.M., R.H.J.A.S.), Faculty of Science and Technology, University of Twente, Enschede, the Netherlands
| | - J-P P M de Vries
- Department of Surgery (A.H.A.Z.A., R.C.L.S., J.-P.M.P.d.V.), Division of Vascular Surgery
| | - R P H Bokkers
- Department of Radiology (A.H.A.Z.A., R.H.J.A.S., R.P.H.B.), Medical Imaging Center
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21
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Monks T, Harper A, Allen M, Collins L, Mayne A. Forecasting the daily demand for emergency medical ambulances in England and Wales: a benchmark model and external validation. BMC Med Inform Decis Mak 2023; 23:117. [PMID: 37434185 DOI: 10.1186/s12911-023-02218-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND We aimed to select and externally validate a benchmark method for emergency ambulance services to use to forecast the daily number of calls that result in the dispatch of one or more ambulances. METHODS The study was conducted using standard methods known to the UK's NHS to aid implementation in practice. We selected our benchmark model from a naive benchmark and 14 standard forecasting methods. Mean absolute scaled error and 80 and 95% prediction interval coverage over a 84 day horizon were evaluated using time series cross validation across eight time series from the South West of England. External validation was conducted by time series cross validation across 13 time series from London, Yorkshire and Welsh Ambulance Services. RESULTS A model combining a simple average of Facebook's prophet and regression with ARIMA errors (1, 1, 3)(1, 0, 1, 7) was selected. Benchmark MASE, 80 and 95% prediction intervals were 0.68 (95% CI 0.67 - 0.69), 0.847 (95% CI 0.843 - 0.851), and 0.965 (95% CI 0.949 - 0.977), respectively. Performance in the validation set was within expected ranges for MASE, 0.73 (95% CI 0.72 - 0.74) 80% coverage (0.833; 95% CI 0.828-0.838), and 95% coverage (0.965; 95% CI 0.963-0.967). CONCLUSIONS We provide a robust externally validated benchmark for future ambulance demand forecasting studies to improve on. Our benchmark forecasting model is high quality and usable by ambulance services. We provide a simple python framework to aid its implementation in practice. The results of this study were implemented in the South West of England.
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Affiliation(s)
- Thomas Monks
- University of Exeter Medical School, University of Exeter, Heavitree Road, Devon, EX1 2LU, Exeter, UK.
- NIHR Applied Research Collaboration Wessex, University of Exeter, Heavitree Road, Exeter, EX1 2LU, Devon, UK.
| | - Alison Harper
- University of Exeter Medical School, University of Exeter, Heavitree Road, Devon, EX1 2LU, Exeter, UK
- NIHR Applied Research Collaboration Wessex, University of Exeter, Heavitree Road, Exeter, EX1 2LU, Devon, UK
| | - Michael Allen
- University of Exeter Medical School, University of Exeter, Heavitree Road, Devon, EX1 2LU, Exeter, UK
- NIHR Applied Research Collaboration Wessex, University of Exeter, Heavitree Road, Exeter, EX1 2LU, Devon, UK
| | - Lucy Collins
- Data Science Team, South Western Ambulance Service NHS Foundation Trust, Eagle Way, Exeter, EX2 7HY, Devon, UK
| | - Andrew Mayne
- Service Evaluation & Improvement Team, Somerset NHS Foundation Trust, Musgrove Park Hospital, Taunton, TA1 5DA, Somerset, UK
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22
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Bagot KL, Purvis T, Hancock S, Zhao H, Coote S, Easton D, Campbell BCV, Davis SM, Donnan GA, Foster S, Langenberg F, Smith K, Stephenson M, Bernard S, McGowan S, Yan B, Mitchell P, Middleton S, Cadilhac DA. Sustaining a New Model of Acute Stroke Care: A Mixed-Method Process Evaluation of the Melbourne Mobile Stroke Unit. Int J Health Policy Manag 2023; 12:7716. [PMID: 37579413 PMCID: PMC10461847 DOI: 10.34172/ijhpm.2023.7716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 02/21/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND Internationally, Mobile Stroke Unit (MSU) ambulances have changed pre-hospital acute stroke care delivery. MSU clinical and cost-effectiveness studies are emerging, but little is known about important factors for achieving sustainability of this innovative model of care. METHODS Mixed-methods study from the Melbourne MSU (operational since November 2017) process evaluation. Participant purposive sampling included clinical, operational and executive/management representatives from Ambulance Victoria (AV) (emergency medical service provider), the MSU clinical team, and receiving hospitals. Sustainability was defined as ongoing MSU operations, including MSU workforce and future model considerations. Theoretically-based on-line survey with Unified Theory of Acceptance and Use of Technology (UTAUT), Self Determination Theory (SDT, Intrinsic Motivation), and open-text questions targeting barriers and benefits was administered (June-September 2019). Individual/group interviews were conducted, eliciting improvement suggestions and requirements for ongoing use. Descriptive and regression analyses (quantitative data) and directed content and thematic analysis (open text and interview data) were conducted. RESULTS There were 135 surveys completed. Identifying that the MSU was beneficial to daily work (β=0.61), not experiencing pressure/tension about working on the MSU (β=0.17) and thinking they did well working within the team model (β=0.17) were significantly associated with wanting to continue working within the MSU model [R2=0.76; F(15, 60)=12.76, P<.001]. Experiences varied between those on the MSU team and those working with the MSU. Advantages were identified for patients (better, faster care) and clinicians (interdisciplinary learning). Disadvantages included challenges integrating into established systems, and establishing working relationships. Themes identified from 35 interviews were MSU team composition, MSU vehicle design and layout, personnel recruitment and rostering, communication improvements between organisations, telemedicine options, MSU operations and dispatch specificity. CONCLUSION Important factors affecting the sustainability of the MSU model of stroke care emerged. A cohesive team approach, with identifiable benefits and good communication between participating organisations is important for clinical and operational sustainability.
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Affiliation(s)
- Kathleen L. Bagot
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, VIC, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Tara Purvis
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Shaun Hancock
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, VIC, Australia
| | - Henry Zhao
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
- Austin Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
- Ambulance Victoria, Melbourne, VIC, Australia
| | - Skye Coote
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Damien Easton
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Bruce CV Campbell
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
- Ambulance Victoria, Melbourne, VIC, Australia
- Stroke Foundation, Melbourne, VIC, Australia
| | - Stephen M. Davis
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Geoff A. Donnan
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, VIC, Australia
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | | | - Francesca Langenberg
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Ambulance Victoria, Melbourne, VIC, Australia
| | - Karen Smith
- Ambulance Victoria, Melbourne, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Department of Paramedicine Monash University, Melbourne, Melbourne, VIC, Australia
- Discipline of Emergency Medicine, University of Western Australia, Perth, WA, Australia
| | - Michael Stephenson
- Ambulance Victoria, Melbourne, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Department of Paramedicine Monash University, Melbourne, Melbourne, VIC, Australia
| | - Stephen Bernard
- Ambulance Victoria, Melbourne, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Department of Paramedicine Monash University, Melbourne, Melbourne, VIC, Australia
| | | | - Bernard Yan
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Peter Mitchell
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Sandy Middleton
- St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne, Melbourne, VIC, Australia
- Nursing Research Institute, Australian Catholic University, Melbourne, VIC, Australia
| | - Dominique A. Cadilhac
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, VIC, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
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23
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Bagot KL, Purvis T, Hancock S, Zhao H, Coote S, Easton D, Campbell BCV, Davis SM, Donnan GA, Foster S, Langenberg F, Smith K, Stephenson M, Bernard S, McGowan S, Yan B, Mitchell P, Middleton S, Cadilhac DA. Interdisciplinary interactions, social systems and technical infrastructure required for successful implementation of mobile stroke units: A qualitative process evaluation. J Eval Clin Pract 2023; 29:495-512. [PMID: 36648226 DOI: 10.1111/jep.13803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/24/2022] [Accepted: 11/29/2022] [Indexed: 01/18/2023]
Abstract
RATIONALE Mobile stroke units (MSUs) are increasingly being implemented to provide acute stroke care in the prehospital environment, but a comprehensive implementation evaluation has not been undertaken. AIM To identify successes and challenges in the pre- and initial operations of the first Australian MSU service from an interdisciplinary perspective. METHODS Process evaluation of the Melbourne MSU with a mixed-methods design. Purposive sampling targeted key stakeholder groups. Online surveys (administered June-September 2019) and semistructured interviews (October-November 2019) explored experiences. Directed content analysis (raters' agreement 85%) and thematic analysis results are presented using the Interactive Sociotechnical Analysis framework. RESULTS Participants representing executive/program operations, MSU clinicians and hospital-based clinicians completed 135 surveys and 38 interviews. Results converged, with major themes addressing successes and challenges: stakeholders, vehicle, knowledge, training/education, communication, work processes and working relationships. CONCLUSIONS Successes and challenges of establishing a new MSU service extend beyond technical, to include operational and social aspects across prehospital and hospital environments.
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Affiliation(s)
- Kathleen L Bagot
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, Victoria, Australia.,Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Tara Purvis
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Shaun Hancock
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, Victoria, Australia
| | - Henry Zhao
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.,Austin Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.,Ambulance Victoria, Melbourne, Victoria, Australia
| | - Skye Coote
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Damien Easton
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Bruce C V Campbell
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.,Ambulance Victoria, Melbourne, Victoria, Australia.,Stroke Foundation, Melbourne, Victoria, Australia
| | - Steve M Davis
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Geoff A Donnan
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, Victoria, Australia.,Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Shane Foster
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Francesca Langenberg
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Karen Smith
- Ambulance Victoria, Melbourne, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Department of Paramedicine, Monash University, Melbourne, Victoria, Australia.,Discipline of Emergency Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Michael Stephenson
- Ambulance Victoria, Melbourne, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Stephen Bernard
- Ambulance Victoria, Melbourne, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | | | - Bernard Yan
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Peter Mitchell
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Sandy Middleton
- St Vincent's Health Network Sydney, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.,Nursing Research Institute, Australian Catholic University, Melbourne, Victoria, Australia
| | - Dominique A Cadilhac
- Public Health and Health Services Research, Stroke, The Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Melbourne, Victoria, Australia.,Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
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Gottesman RF, Latour L. What's the Future of Vascular Neurology? Neurotherapeutics 2023; 20:605-612. [PMID: 37129762 PMCID: PMC10275820 DOI: 10.1007/s13311-023-01374-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2023] [Indexed: 05/03/2023] Open
Abstract
The field of vascular neurology has made tremendous advances over the last several decades, with major shifts in diagnosis, treatment, prevention, and rehabilitation of patients with stroke. Furthermore, the individuals who are providing the care represent a different cohort than those who were caring for stroke patients 30 years ago, with the increasing need for rapid decision-making for acute interventions and a larger workforce being needed to provide the many complicated aspects of care of stroke patients. Understanding the history of the field is critical before one can speculate about its future directions. In summarizing some of the past massive shifts in the past few decades, this review will discuss future opportunities and future challenges and will introduce the rest of this special issue focusing on vascular neurology in a post-thrombectomy era. Although thrombolysis and thrombectomy remain a major part of ischemic stroke management and care, in the coming years, there will likely be further modifications in how we provide the care, who provides it, how we train those individuals who provide it, where it is provided, and what data inform early management decisions.
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Affiliation(s)
- Rebecca F Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA.
| | - Lawrence Latour
- Stroke Branch, National Institute of Neurological Disorders and Stroke, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
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Verclytte S, Gnanih R, Verdun S, Feiweier T, Clifford B, Ambarki K, Pasquini M, Ding J. Ultrafast MRI using deep learning echoplanar imaging for a comprehensive assessment of acute ischemic stroke. Eur Radiol 2023; 33:3715-3725. [PMID: 36928567 DOI: 10.1007/s00330-023-09508-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 12/09/2022] [Accepted: 01/30/2023] [Indexed: 03/18/2023]
Abstract
OBJECTIVES Acute ischemic stroke (AIS) is an emergency requiring both fast and informative MR sequences. We aimed to assess the performance of an artificial intelligence-enhanced ultrafast (UF) protocol, compared to the reference protocol, in the AIS management. METHODS We included patients admitted in the emergency department for suspected AIS. Each patient underwent a 3-T MR protocol, including reference acquisitions of T2-FLAIR, DWI, and SWI (duration: 7 min 54 s) and their accelerated multishot EPI counterparts for T2-FLAIR and T2*, complemented by a single-shot EPI DWI (duration: 1 min 54 s). Two blinded neuroradiologists reviewed each dataset, assessing DWI (detection, location, number of acute lesions), FLAIR (vascular hyperintensities, visibility of acute lesions), and SWI/T2* (hemorrhagic transformation, thrombus). We compared the agreement between the diagnoses obtained with both protocols using kappa coefficients. RESULTS A total of 173 patients were included consecutively, of whom 80 with an AIS in DWI. We found an almost perfect agreement between the UF and reference protocols regarding the detection, distribution, number of AIS in DWI (κ = 0.98, 0.98, and 0.87 respectively), the presence of vascular hyperintensities, and the presence of a parenchymal hyperintensity in the AIS region in FLAIR (κ = 0.93 and 0.89 respectively). Agreement was substantial in T2*/SWI for thrombus detection, and fair for hemorrhagic transformation detection (κ = 0.64 and 0.38 respectively). Differential diagnoses were similarly detected by both protocols (κ = 1). CONCLUSIONS Our AI-enhanced ultrafast MRI protocol allowed an effective detection and characterization of both AIS and differential diagnoses in less than 2 min. KEY POINTS • The AI-enhanced ultrafast MRI protocol allowed an effective detection of acute stroke. • Characterization of stroke features with the UF protocol was equivalent to the reference sequences. • Differential diagnoses were detected similarly by the UF and reference protocols.
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Affiliation(s)
- Sebastien Verclytte
- Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France.
| | - Robin Gnanih
- Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France
| | - Stephane Verdun
- Biostatistics Department - Delegation for Clinical Research and Innovation, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France
| | | | | | | | - Marta Pasquini
- Department of Neurology, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France
| | - Juliette Ding
- Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France
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López-Rueda A, Ibáñez Sanz L, Alonso de Leciñana M, de Araújo Martins-Romeo D, Vicente Bartulos A, Castellanos Rodrigo M, Oleaga Zufiria L. Recommendations on the use of computed tomography in the stroke code: Consensus document SENR, SERAU, GEECV-SEN, SERAM. RADIOLOGIA 2023; 65:180-191. [PMID: 37059583 DOI: 10.1016/j.rxeng.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/18/2022] [Indexed: 03/31/2023]
Abstract
The Spanish Society of Emergency Radiology (SERAU), the Spanish Society of Neuroradiology (SENR), the Spanish Society of Neurology through its Cerebrovascular Diseases Study Group (GEECV-SEN) and the Spanish Society of Medical Radiology (SERAM) have met to draft this consensus document that will review the use of computed tomography in the stroke code patients, focusing on its indications, the technique for its correct acquisition and the possible interpretation mistakes.
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Affiliation(s)
- A López-Rueda
- Sección Radiología Vascular e Intervencionista, Hospital Clínic, Barcelona, Spain.
| | - L Ibáñez Sanz
- Radiología de Urgencias, Hospital 12 de Octubre, Madrid, Spain
| | - M Alonso de Leciñana
- Servicio de Neurología y Centro de Ictus, Instituto para la Investigación biomédica-Hospital Universitario la Paz (IdiPAZ), Universidad Autónoma de Madrid, Madrid, Spain
| | | | - A Vicente Bartulos
- Sección de Radiología de Urgencias, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - M Castellanos Rodrigo
- Servicio de Neurología, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain
| | - L Oleaga Zufiria
- Sección Radiología Vascular e Intervencionista, Hospital Clínic, Barcelona, Spain
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Shao H, Chan WCL, Du H, Chen XF, Ma Q, Shao Z. A new machine learning algorithm with high interpretability for improving the safety and efficiency of thrombolysis for stroke patients: A hospital-based pilot study. Digit Health 2023; 9:20552076221149528. [PMID: 36636727 PMCID: PMC9829886 DOI: 10.1177/20552076221149528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Background Thrombolysis is the first-line treatment for patients with acute ischemic stroke. Previous studies leveraged machine learning to assist neurologists in selecting patients who could benefit the most from thrombolysis. However, when designing the algorithm, most of the previous algorithms traded interpretability for predictive power, making the algorithms hard to be trusted by neurologists and be used in real clinical practice. Methods Our proposed algorithm is an advanced version of classical k-nearest neighbors classification algorithm (KNN). We achieved high interpretability by changing the isotropy in feature space of classical KNN. We leveraged a cohort of 189 patients to prove that our algorithm maintains the interpretability of previous models while in the meantime improving the predictive power when compared with the existing algorithms. The predictive powers of models were assessed by area under the receiver operating characteristic curve (AUC). Results In terms of interpretability, only onset time, diabetes, and baseline National Institutes of Health Stroke Scale (NIHSS) were statistically significant and their contributions to the final prediction were forced to be proportional to their feature importance values by the rescaling formula we defined. In terms of predictive power, our advanced KNN (AUC 0.88) outperformed the classical KNN (AUC 0.75, p = 0.0192 ). Conclusions Our preliminary results show that the advanced KNN achieved high AUC and identified consistent significant clinical features as previous clinical trials/observational studies did. This model shows the potential to assist in thrombolysis patient selection for improving the successful rate of thrombolysis.
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Affiliation(s)
- Huiling Shao
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong,Huiling Shao, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Room Y934, 9/F, Lee Shau Kee Building, Hung Hom, Kowloon, 999077, Hong Kong.
| | - Wing Chi Lawrence Chan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Heng Du
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Xiangyan Fiona Chen
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Qilin Ma
- Department of Neurology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Zhiyu Shao
- Department of Neurology, The First Affiliated Hospital of Xiamen University, Xiamen, China
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López-Rueda A, Ibáñez Sanz L, Alonso de Leciñana M, de Araújo Martins-Romeo D, Vicente Bartulos A, Castellanos Rodrigo M, Oleaga Zufiria L. Recomendaciones sobre el uso de la tomografía computarizada en el código ictus: Documento de consenso SENR, SERAU, GEECV-SEN, SERAM. RADIOLOGIA 2023. [DOI: 10.1016/j.rx.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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Høllesli LJ, Ajmi SC, Kurz MW, Tysland TB, Hagir M, Dalen I, Qvindesland SA, Ersdal H, Kurz KD. Simulation-based team-training in acute stroke: Is it safe to speed up? Brain Behav 2022; 12:e2814. [PMID: 36416494 PMCID: PMC9759129 DOI: 10.1002/brb3.2814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 10/01/2022] [Accepted: 10/18/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND In acute ischemic stroke (AIS), rapid treatment with intravenous thrombolysis (IVT) is crucial for good clinical outcome. Weekly simulation-based team-training of the stroke treatment team was implemented, resulting in faster treatment times. The aim of this study was to assess whether this time reduction led to a higher proportion of stroke mimics (SMs) among patients who received IVT for presumed AIS, and whether these SM patients were harmed by intracranial hemorrhage (ICH). METHODS All suspected AIS patients treated with IVT between January 1, 2015 and December 31, 2020 were prospectively registered. In 2017, weekly in situ simulation-based team-training involving the whole stroke treatment team was introduced. To analyze possible unintended effects of simulation training, the proportion of SMs among patients who received IVT for presumed AIS were identified by clinical and radiological evaluation. Additionally, we identified the extent of symptomatic ICH (sICH) in IVT-treated SM patients. RESULTS From 2015 to 2020, 959 patients were treated with IVT for symptoms of AIS. After introduction of simulation training, the proportion of patients treated with IVT who were later diagnosed as SMs increased significantly (15.9% vs. 24.4%, p = .003). There were no ICH complications in the SM patients treated before, whereas two SM patients suffered from asymptomatic ICH after introduction of simulation training (p = 1.0). When subgrouping SMs into prespecified categories, only the group diagnosed with peripheral vertigo increased significantly (2.5% vs. 8.6%, p < .001). CONCLUSIONS Simulation training of the acute stroke treatment team was associated with an increase in the proportion of patients treated with IVT for a suspected AIS who were later diagnosed with peripheral vertigo. The proportion of other SM groups among IVT-treated patients did not change significantly. No sICH was detected in IVT-treated SM patients.
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Affiliation(s)
- Liv Jorunn Høllesli
- Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway.,Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | - Soffien Chadli Ajmi
- Neurology Research Group, Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,Department of Quality and Health Technology, University of Stavanger, Stavanger, Norway
| | - Martin W Kurz
- Neurology Research Group, Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Thomas Bailey Tysland
- Neurology Research Group, Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Morten Hagir
- Department of Radiology, Hospital of Southern Norway Kristiansand, Kristiansand, Norway
| | - Ingvild Dalen
- Department of Research, Section of Biostatistics, Stavanger University Hospital, Stavanger, Norway
| | - Sigrun Anna Qvindesland
- Department of Research, Simulation Section, Stavanger University Hospital, Stavanger, Norway
| | - Hege Ersdal
- Critical Care and Anesthesiology Research Group, Stavanger University Hospital, Stavanger, Norway.,Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Kathinka D Kurz
- Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway.,Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
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Munro S, Cooke D, Joy M, Smith A, Poole K, Perciato L, Holah J, Speirs O, Quinn T. The pre-hospital 12-lead electrocardiogram is associated with longer delay and worse outcomes in patients presenting to emergency medical services with acute stroke: a linked cohort study. Br Paramed J 2022; 7:16-23. [PMID: 36451705 PMCID: PMC9662160 DOI: 10.29045/14784726.2022.09.7.2.16] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2023] Open
Abstract
Objectives To investigate the association between pre-hospital 12-lead electrocardiogram (PHECG) use in patients presenting to emergency medical services (EMS) with acute stroke, and clinical outcomes and system delays. Methods Multi-centre linked cohort study. Patients with verified acute stroke admitted to hospital via EMS were identified through routinely collected hospital data and linked to EMS clinical records via EMS unique identifiers. Ordinal and logistic regression analyses were undertaken to analyse the relationship between having a PHECG and modified Rankin Scale (mRS); hospital mortality; pre-hospital time intervals; door-to-scan and door-to-needle times; and rates of thrombolysis. Results Of 1161 eligible patients admitted between 29 December 2013 and 30 January 2017, PHECG was performed in 558 (48%). PHECG was associated with an increase in mRS (adjusted odds ratio [aOR] 1.30, 95% confidence interval [CI] 1.01-1.66, p = 0.04) and hospital mortality (aOR 1.83, 95% CI 1.26-2.67, p = 0.002). There was no association between PHECG and administration of thrombolytic treatment (aOR 1.06, 95% CI 0.75-1.52, p = 0.73). Patients who had PHECG recorded spent longer under the care of EMS (median 49 vs 43 minutes, p = 0.006). No difference in times to receiving brain scan (median 28 with PHECG vs 29 minutes no PHECG, p = 0.32) or thrombolysis (median 46 vs 48 minutes, p = 0.37) were observed. Conclusion The PHECG was associated with worse outcomes and longer delays in patients with acute ischaemic stroke.
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Affiliation(s)
- Scott Munro
- University of Surrey; South East Coast Ambulance Service NHS Foundation Trust ORCID iD: https://orcid.org/0000-0002-0228-4102
| | - Debbie Cooke
- University of Surrey ORCID iD: https://orcid.org/0000-0003-1944-7905
| | | | | | | | | | - Janet Holah
- South East Coast Ambulance Service NHS Foundation Trust
| | | | - Tom Quinn
- Kingston University and St George's, University of London ORCID iD: https://orcid.org/0000-0002-5116-0034
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Potential crowdedness of mechanical thrombectomy and cerebral infarction mortality in Japan: Application of inverted two-step floating catchment area method. J Stroke Cerebrovasc Dis 2022; 31:106625. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/22/2022] [Accepted: 06/26/2022] [Indexed: 11/18/2022] Open
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Sjöö M, Berglund A, Sjöstrand C, Eriksson EE, Mazya MV. Prehospital stroke mimics in the Stockholm Stroke Triage System. Front Neurol 2022; 13:939618. [PMID: 36062015 PMCID: PMC9433744 DOI: 10.3389/fneur.2022.939618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/21/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction In 2017, Stockholm implemented a new prehospital stroke triage system (SSTS) directing patients with a likely indication for thrombectomy to the regional comprehensive stroke center (CSC) based on symptom severity and teleconsultation with a physician. In Stockholm, 44% of patients with prehospital code stroke have stroke mimics. Inadvertent triage of stroke mimics to the CSC could lead to inappropriate resource utilization. Aims To compare the characteristics between (1) triage-positive stroke mimics and stroke (TP mimics and TP stroke) and (2) triage-negative stroke mimics and stroke (TN mimics and TN stroke) and to (3) compare the distribution of stroke mimic diagnoses between triage-positive and triage-negative cases. Methods This prospective observational study collected data from October 2017 to October 2018, including 2,905 patients with suspected stroke who were transported by code-stroke ambulance to a Stockholm regional hospital. Patients directed to the CSC were defined as triage-positive. Those directed to the nearest stroke center were defined as triage-negative. Results Compared to individuals with TP stroke (n = 268), those with TP mimics (n = 55, median 64 vs. 75 years, P < 0.001) were younger and had lower NIHSS score (median 7 vs. 15, P < 0.001). Similarly, those with TN mimics (n = 1,221) were younger than those with TN stroke (n = 1,361, median 73 vs. 78 years, P < 0.001) and had lower NIHSS scores (median 2 vs. 4, P < 0.001). Functional paresis was more common in those with TP mimics than in those with TN mimics, 18/55 (32.7%) vs. 82/1,221 (6.7%), P < 0.001. Systemic infection was less common in those with TP mimics than in those with TN mimics, 1/55 (1.8%) vs. 160/1,221 (13.1%), P < 0.011. There was a trend toward “syncope, hypotension, or other cardiovascular diagnosis” being less common in those with TP mimics than in those with TN mimics, 1/55 (1.8%) vs. 118/1,221 (9.7%), P < 0.055. Conclusions In the SSTS, those with triage-positive and triage-negative stroke mimics were younger and had less severe symptoms than patients with stroke. All patients with TP mimics who had hemiparesis but overall exhibited less severe symptoms against true stroke but more severe symptoms than those with TN mimics were triaged to the nearest hospital. Over-triage of functional paresis to the CSC was relatively common. Meanwhile, a large majority of cases with minor symptoms caused by stroke mimics was triaged correctly by the SSTS to the nearest stroke center.
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Bladin CF, Bagot KL, Vu M, Kim J, Bernard S, Smith K, Hocking G, Coupland T, Pearce D, Badcock D, Budge M, Nadurata V, Pearce W, Hall H, Kelly B, Spencer A, Chapman P, Oqueli E, Sahathevan R, Kraemer T, Hair C, Stub D, Cadilhac DA. Real-world, feasibility study to investigate the use of a multidisciplinary app (Pulsara) to improve prehospital communication and timelines for acute stroke/STEMI care. BMJ Open 2022; 12:e052332. [PMID: 35851025 PMCID: PMC9297229 DOI: 10.1136/bmjopen-2021-052332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/22/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES To determine if a digital communication app improves care timelines for patients with suspected acute stroke/ST-elevation myocardial infarction (STEMI). DESIGN Real-world feasibility study, quasi-experimental design. SETTING Prehospital (25 Ambulance Victoria branches) and within-hospital (2 hospitals) in regional Victoria, Australia. PARTICIPANTS Paramedics or emergency department (ED) clinicians identified patients with suspected acute stroke (onset <4.5 hours; n=604) or STEMI (n=247). INTERVENTION The Pulsara communication app provides secure, two-way, real-time communication. Assessment and treatment times were recorded for 12 months (May 2017-April 2018), with timelines compared between 'Pulsara initiated' (Pulsara) and 'not initiated' (no Pulsara). PRIMARY OUTCOME MEASURE Door-to-treatment (needle for stroke, balloon for STEMI) Secondary outcome measures: ambulance and hospital processes. RESULTS Stroke (no Pulsara n=215, Pulsara n=389) and STEMI (no Pulsara n=76, Pulsara n=171) groups were of similar age and sex (stroke: 76 vs 75 years; both groups 50% male; STEMI: 66 vs 63 years; 68% and 72% male). When Pulsara was used, patients were off ambulance stretcher faster for stroke (11(7, 17) vs 19(11, 29); p=0.0001) and STEMI (14(7, 23) vs 19(10, 32); p=0.0014). ED door-to-first medical review was faster (6(2, 14) vs 23(8, 67); p=0.0001) for stroke but only by 1 min for STEMI (3 (0, 7) vs 4 (0, 14); p=0.25). Door-to-CT times were 44 min faster (27(18, 44) vs 71(43, 147); p=0.0001) for stroke, and percutaneous intervention door-to-balloon times improved by 17 min, but non-significant (56 (34, 88) vs 73 (49, 110); p=0.41) for STEMI. There were improvements in the proportions of patients treated within 60 min for stroke (12%-26%, p=0.15) and 90 min for STEMI (50%-78%, p=0.20). CONCLUSIONS In this Australian-first study, uptake of the digital communication app was strong, patient-centred care timelines improved, although door-to-treatment times remained similar.
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Affiliation(s)
- Chris F Bladin
- Ambulance Victoria, Doncaster, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
- Eastern Health Clinical School, Monash University, Box Hill, Victoria, Australia
| | - Kathleen L Bagot
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
- Stroke and Ageing Research, Department of Medicine, Monash University, Clayton, Victoria, Australia
| | - Michelle Vu
- Epworth Hospital, Richmond, Victoria, Australia
| | - Joosup Kim
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
- Stroke and Ageing Research, Department of Medicine, Monash University, Clayton, Victoria, Australia
| | | | - Karen Smith
- Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | | | | | - Debra Pearce
- Ballarat Health Services, Ballarat, Victoria, Australia
| | | | - Marc Budge
- Bendigo Health, Bendigo, Victoria, Australia
| | | | - Wayne Pearce
- Ambulance Victoria, Doncaster, Victoria, Australia
| | - Howard Hall
- Ambulance Victoria, Doncaster, Victoria, Australia
| | - Ben Kelly
- Ballarat Health Services, Ballarat, Victoria, Australia
| | - Angie Spencer
- Ballarat Health Services, Ballarat, Victoria, Australia
| | | | - Ernesto Oqueli
- Ballarat Health Services, Ballarat, Victoria, Australia
- Department of Medicine, Deakin University, Burwood, Sydney, Australia
| | - Ramesh Sahathevan
- Ballarat Health Services, Ballarat, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | | | - Casey Hair
- Ballarat Health Services, Ballarat, Victoria, Australia
| | - Dion Stub
- Ambulance Victoria, Doncaster, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Dominique A Cadilhac
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
- Stroke and Ageing Research, Department of Medicine, Monash University, Clayton, Victoria, Australia
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Vicente-Pascual M, Quilez A, Gil MP, González-Mingot C, Vázquez-Justes D, Mauri-Capdevila G, Sanahuja J, García-Vázquez C, Purroy F. The influence of organisational management on door-to-needle times for fibrinolytic treatment. NEUROLOGÍA (ENGLISH EDITION) 2022:S2173-5808(22)00072-4. [PMID: 35842131 DOI: 10.1016/j.nrleng.2020.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/05/2020] [Indexed: 10/17/2022] Open
Abstract
INTRODUCTION Door-to-needle time (DNT) has been established as the main indicator in code stroke protocols. According to the 2018 guidelines of the American Heart Association/American Stroke Association, DNT should be less than 45minuts; therefore, effective and revised pre-admission and in-hospital protocols are required. METHOD We analysed organisational changes made between 2011 and 2019 and their influence on DNT and the clinical progression of patients treated with fibrinolysis. We collected data from our centre, stored and monitored under the Master Plan for Cerebrovascular Disease of the regional government of Catalonia. Among other measures, we analysed the differences between years and differences derived from the implementation of the Helsinki model. RESULTS The study included 447 patients, and we observed significant differences in DNT between different years. Pre-hospital code stroke activation, recorded in 315 cases (70.5%), reduced DNT by a median of 14minutes. However, the linear regression model only showed an inversely proportional relationship between the adoption of the Helsinki code stroke model and DNT (beta coefficient, -0.42; P<.001). The removal of vascular neurologists after the adoption of the Helsinki model increased DNT and the 90-day mortality rate. CONCLUSION DNT is influenced by the organisational model. In our sample, the application of the Helsinki model, the role of the lead vascular neurologist, and notification of code stroke by pre-hospital emergency services are key factors for the reduction of DNT and the clinical improvement of the patient.
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Affiliation(s)
- M Vicente-Pascual
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - A Quilez
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - M P Gil
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - C González-Mingot
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - D Vázquez-Justes
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - G Mauri-Capdevila
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - J Sanahuja
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - C García-Vázquez
- Grupo de Neurosciencias Clínica, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - F Purroy
- Servicio de Neurología, Hospital Universitari Arnau de Vilanova, Lleida, Spain; Grupo de Neurosciencias Clínica, Institut de Recerca Biomèdica de Lleida, Lleida, Spain.
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Mobile Stroke Units verbessern das Outcome von Schlaganfallpatienten. NOTARZT 2022. [DOI: 10.1055/a-1690-3162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
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Sayad A, Uddin SM, Yao S, Wilson H, Chan J, Zhao H, Donnan G, Davis S, Skafidas E, Yan B, Kwan P. A magnetoimpedance biosensor microfluidic platform for detection of glial fibrillary acidic protein in blood for acute stroke classification. Biosens Bioelectron 2022; 211:114410. [PMID: 35617799 DOI: 10.1016/j.bios.2022.114410] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022]
Abstract
Acute stroke is the third leading cause of mortality and disability worldwide. Administration of appropriate therapy for acute stroke is critically dependent on timely classification into either ischemic or hemorrhagic subtypes, which have divergent treatment pathways. The current classification method is based on neuroimaging, which generally requires the transport of the patient to a hospital-based facility unless a mobile stroke unit is available. Plasma glial fibrillary acidic protein (GFAP) level has been identified as a useful blood-based biomarker to differentiate stroke subtypes. However, its conventional immunoassay methods are laboratory-based and time-consuming. Novel approaches for rapid stroke classification near the patients are urgently needed. Here, we report the development and testing of a microfluidic-based magnetoimpedance biosensor platform for measuring GFAP levels. The platform consists of a microfluidic chip for GFAP extraction from a blood sample and a magnetoimpedance (MI) biosensor that employs Dynabeads as a magnetic label to capture the GFAP molecules. We demonstrated the detection of recombinant GFAP protein in phosphate-buffered saline (PBS) and in mouse blood samples (detection limit 0.01 ng/mL) and of physiological GFAP in blood and plasma samples (detection limit 1.0 ng/mL) obtained from acute stroke patients. This detection level is within the range of cut-off levels required for clinical stroke subtype differentiation. This platform has the potential to be incorporated into a small device with further development to assist in the classification of acute stroke patients and clinical decision-making at the point-of-care.
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Affiliation(s)
- Abkar Sayad
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia.
| | - Shah Mukim Uddin
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.
| | - Scarlett Yao
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.
| | - Harold Wilson
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia. https://
| | - Jianxiong Chan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia; Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.
| | - Henry Zhao
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
| | - Geoffrey Donnan
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
| | - Stephen Davis
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia. https://
| | - Efstratios Skafidas
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Electrical and Electronic Engineering, Melbourne School of Engineering, The University of Melbourne, VIC, 3010, Australia.
| | - Bernard Yan
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
| | - Patrick Kwan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia; Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Electrical and Electronic Engineering, Melbourne School of Engineering, The University of Melbourne, VIC, 3010, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
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Mikulík R, Bar M, Bělašková S, Černík D, Fiksa J, Herzig R, Jura R, Jurák L, Klečka L, Neumann J, Ostrý S, Šaňák D, Ševčík P, Škoda O, Šrámek M, Tomek A, Václavík D. Ultrashort Door‐to‐Needle Time for Intravenous Thrombolysis Is Safer and Improves Outcome in the Czech Republic: Nationwide Study 2004 to 2019. J Am Heart Assoc 2022; 11:e023524. [PMID: 35574953 PMCID: PMC9238542 DOI: 10.1161/jaha.121.023524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background The benefit of intravenous thrombolysis is time dependent. It remains unclear, however, whether dramatic shortening of door‐to‐needle time (DNT) among different types of hospitals nationwide does not compromise safety and still improves outcome. Methods and Results Multifaceted intervention to shorten DNT was introduced at a national level, and prospectively collected data from a registry between 2004 and 2019 were analyzed. Generalized estimating equation was used to identify the association between DNT and outcomes independently from prespecified baseline variables. The primary outcome was modified Rankin score 0 to 1 at 3 months, and secondary outcomes were parenchymal hemorrhage/intracerebral hemorrhage (ICH), any ICH, and death. Of 31 316 patients treated with intravenous thrombolysis alone, 18 861 (60%) had available data: age 70±13 years, National Institutes of Health Stroke Scale at baseline (median, 8; interquartile range, 5–14), and 45% men. DNT groups 0 to 20 minutes, 21 to 40 minutes, 41 to 60 minutes, and >60 minutes had 3536 (19%), 5333 (28%), 4856 (26%), and 5136 (27%) patients. National median DNT dropped from 74 minutes in 2004 to 22 minutes in 2019. Shorter DNT had proportional benefit: it increased the odds of achieving modified Rankin score 0 to 1 and decreased the odds of parenchymal hemorrhage/ICH, any ICH, and mortality. Patients with DNT ≤20 minutes, 21 to 40 minutes, and 41 to 60 minutes as compared with DNT >60 minutes had adjusted odds ratios for modified Rankin score 0 to 1 of the following: 1.30 (95% CI, 1.12–1.51), 1.33 (95% CI, 1.15–1.54), and 1.15 (95% CI, 1.02–1.29), and for parenchymal hemorrhage/ICH: 0.57 (95% CI, 0.45–0.71), 0.76 (95% CI, 0.61–0.94), 0.83 (95% CI, 0.70–0.99), respectively. Conclusions Ultrashort initiation of thrombolysis is feasible, improves outcome, and makes treatments safer because of fewer intracerebral hemorrhages. Stroke management should be optimized to initiate thrombolysis as soon as possible optimally within 20 minutes from arrival to a hospital.
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Affiliation(s)
- Robert Mikulík
- International Clinical Research Center and Department of Neurology St. Anne’s University Hospital in Brno Czech Republic
- Faculty of Medicine at Masaryk University Brno Czech Republic
| | - Michal Bar
- Department of Neurology University Hospital Ostrava and Faculty of Medicine at University Ostrava Ostrava Czech Republic
| | - Silvie Bělašková
- International Clinical Research Center and Department of Neurology St. Anne’s University Hospital in Brno Czech Republic
| | - David Černík
- Comprehensive Stroke Center ‐ Department of Neurology Masaryk Hospital Ustí nad Labem ‐ KZ a.s. Ustí nad Labem Czech Republic
| | - Jan Fiksa
- Department of Neurology First Faculty of Medicine and General University Hospital, Charles University Prague Czech Republic
| | - Roman Herzig
- Comprehensive Stroke Center University Hospital Hradec KrálovéCharles University Faculty of Medicine in Hradec Králové Czech Republic
| | - René Jura
- Faculty of Medicine at Masaryk University Brno Czech Republic
- Department of Neurology University Hospital Brno Brno Czech Republic
| | - Lubomír Jurák
- Neurocenter Regional Hospital Liberec Liberec Czech Republic
| | - Lukáš Klečka
- Department of Neurology Town Hospital Ostrava Ostrava Czech Republic
| | - Jiří Neumann
- Department of Neurology Chomutov Hospital, KZ a.s. Chomutov Czech Republic
| | - Svatopluk Ostrý
- Comprehensive Stroke Center Hospital České Budějovice, a.s. České Budějovice Czech Republic
- Department of Neurosurgery and Neurooncology First Faculty of Medicine Charles University in Prague Czech Republic
- Military University Hospital Prague Prague Czech Republic
| | - Daniel Šaňák
- Comprehensive Stroke Center in Department of Neurology Palacký Medical School and University Hospital Olomouc Czech Republic
| | - Petr Ševčík
- Department of Neurology Faculty of Medicine in Pilsen Charles University Pilsen Czech Republic
- Department of Neurology University Hospital Pilsen Pilsen Czech Republic
| | - Ondřej Škoda
- Department of Neurology Hospital Jihlava Jihlava Czech Republic
- Department of Neurology 3rd Medical School of Charles University and Vinohrady University Hospital Prague Czech Republic
| | - Martin Šrámek
- Department of Neurology Central Military University Hospital Prague and Motol University Hospital Prague Czech Republic
| | - Aleš Tomek
- Department of Neurology 2nd Medical School of Charles University and Motol University Hospital Prague Czech Republic
| | - Daniel Václavík
- Department of Neurology and AGEL Research and Training Institute Ostrava Vítkovice Hospital Ostrava Czech Republic
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Scholz ML, Collatz-Christensen H, Blomberg SNF, Boebel S, Verhoeven J, Krafft T. Artificial intelligence in Emergency Medical Services dispatching: assessing the potential impact of an automatic speech recognition software on stroke detection taking the Capital Region of Denmark as case in point. Scand J Trauma Resusc Emerg Med 2022; 30:36. [PMID: 35549978 PMCID: PMC9097123 DOI: 10.1186/s13049-022-01020-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND AND PURPOSE Stroke recognition at the Emergency Medical Services (EMS) impacts the stroke treatment and thus the related health outcome. At the EMS Copenhagen 66.2% of strokes are detected by the Emergency Medical Dispatcher (EMD) and in Denmark approximately 50% of stroke patients arrive at the hospital within the time-to-treatment. An automatic speech recognition software (ASR) can increase the recognition of Out-of-Hospital cardiac arrest (OHCA) at the EMS by 16%. This research aims to analyse the potential impact an ASR could have on stroke recognition at the EMS Copenhagen and the related treatment. METHODS Stroke patient data (n = 9049) from the years 2016-2018 were analysed retrospectively, regarding correlations between stroke detection at the EMS and stroke specific, as well as personal characteristics such as stroke type, sex, age, weekday, time of day, year, EMS number contacted, and treatment. The possible increase in stroke detection through an ASR and the effect on stroke treatment was calculated based on the impact of an existing ASR to detect OHCA from CORTI AI. RESULTS The Chi-Square test with the respective post-hoc test identified a negative correlation between stroke detection and females, the 1813-Medical Helpline, as well as weekends, and a positive correlation between stroke detection and treatment and thrombolysis. While the association analysis showed a moderate correlation between stroke detection and treatment the correlation to the other treatment options was weak or very weak. A potential increase in stroke detection to 61.19% with an ASR and hence an increase of thrombolysis by 5% in stroke patients calling within time-to-treatment was predicted. CONCLUSIONS An ASR can potentially improve stroke recognition by EMDs and subsequent stroke treatment at the EMS Copenhagen. Based on the analysis results improvement of stroke recognition is particularly relevant for females, younger stroke patients, calls received through the 1813-Medical Helpline, and on weekends. TRIAL REGISTRATION This study was registered at the Danish Data Protection Agency (PVH-2014-002) and the Danish Patient Safety Authority (R-21013122).
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Affiliation(s)
- Mirjam Lisa Scholz
- Emergency Medical Services, Capital Region of Denmark, Telegrafvej 5, 2750 Ballerup, Denmark
- Department of Health, Ethics and Society, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD Maastricht, Netherlands
| | | | | | - Simone Boebel
- Emergency Medical Services, Capital Region of Denmark, Telegrafvej 5, 2750 Ballerup, Denmark
- Department of Health, Ethics and Society, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD Maastricht, Netherlands
| | - Jeske Verhoeven
- Emergency Medical Services, Capital Region of Denmark, Telegrafvej 5, 2750 Ballerup, Denmark
- Department of Health, Ethics and Society, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD Maastricht, Netherlands
| | - Thomas Krafft
- Department of Health, Ethics and Society, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD Maastricht, Netherlands
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Bivard A, Zhao H, Churilov L, Campbell BCV, Coote S, Yassi N, Yan B, Valente M, Sharobeam A, Balabanski AH, Dos Santos A, Ng JL, Yogendrakumar V, Ng F, Langenberg F, Easton D, Warwick A, Mackey E, MacDonald A, Sharma G, Stephenson M, Smith K, Anderson D, Choi P, Thijs V, Ma H, Cloud GC, Wijeratne T, Olenko L, Italiano D, Davis SM, Donnan GA, Parsons MW. Comparison of tenecteplase with alteplase for the early treatment of ischaemic stroke in the Melbourne Mobile Stroke Unit (TASTE-A): a phase 2, randomised, open-label trial. Lancet Neurol 2022; 21:520-527. [DOI: 10.1016/s1474-4422(22)00171-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 04/07/2022] [Accepted: 04/13/2022] [Indexed: 12/19/2022]
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Verma A, Sarda S, Jaiswal S, Batra A, Haldar M, Sheikh WR, Vishen A, Khanna P, Ahuja R, Khatai AA. Rapid Thrombolysis Protocol: Results from a Before-and-after Study. Indian J Crit Care Med 2022; 26:549-554. [PMID: 35719454 PMCID: PMC9160610 DOI: 10.5005/jp-journals-10071-24217] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Objective Intravenous thrombolysis within 4.5 hours from time of onset has proven benefit in stroke. Universal standard for the door-to-needle (DTN) time is within 60 minutes from the time of arrival of patients to the emergency department. Our rapid thrombolysis protocol (RTPr) was developed with an aim to reduce the DTN time to a minimum by modifying our stroke post-intervention processes. Materials and methods This before-and-after study was conducted at a single center on patients who received intravenous thrombolysis in the emergency department. Consecutive patients who were thrombolysed using our RTPr (post-intervention group) were compared to the pre-intervention group who were thrombolysed before the implementation of the protocol. The primary outcomes were DTN time, time to recovery, and modified ranking score (mRS) on discharge. Secondary outcomes were mortality, symptomatic intracerebral hemorrhage, and hospital and intensive care unit length of stay. Results Seventy-four patients were enrolled in each group. Mean DTN time in pre- and post-intervention group was 56.15 minutes (95% CI 49.98–62.31) and 34.91 minutes (95% CI 29.64–40.17) (p <0.001), respectively. In pre-intervention and post-intervention groups, 43.24% (95% CI 32.57–54.59) and 41.89% (95% CI 31.32–53.26) patients, respectively, showed neurological recovery in 24 hours. About 36.49% (95% CI 26.44–47.87) in pre-intervention group and 54.05% (95% CI 42.78–64.93) in post-intervention group had discharge mRS 0–2. Conclusion The RTPr can be adapted by clinicians and hospitals to bring down the DTN times and improve outcomes for stroke patients. How to cite this article Verma A, Sarda S, Jaiswal S, Batra A, Haldar M, Sheikh WR, et al. Rapid Thrombolysis Protocol: Results from a Before-and-after Study. Indian J Crit Care Med 2022;26(5):549–554.
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Affiliation(s)
- Ankur Verma
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
- Ankur Verma, Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India, Phone: +91 9971779998, e-mail:
| | - Shivani Sarda
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
| | - Sanjay Jaiswal
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
| | - Amit Batra
- Department of Neurosciences, Max Super Speciality Hospital, New Delhi, India
| | - Meghna Haldar
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
| | - Wasil R Sheikh
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
| | - Amit Vishen
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
| | - Palak Khanna
- Department of Statistics, Amity Institute of Applied Sciences, Amity University, Noida, Uttar Pradesh, India
| | - Rinkey Ahuja
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
| | - Abbas A Khatai
- Department of Emergency Medicine, Max Super Speciality Hospital, New Delhi, India
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Li H, Xu D, Xu Y, Wei L. Impact of Medical Community Model on Intravenous Alteplase Door-to-Needle Times and Prognosis of Patients With Acute Ischemic Stroke. Front Surg 2022; 9:888015. [PMID: 35574548 PMCID: PMC9091958 DOI: 10.3389/fsurg.2022.888015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/23/2022] [Indexed: 11/18/2022] Open
Abstract
Objective In this study, we retrospectively analyzed 795 AIS patients who received intravenous alteplase for thrombolytic therapy in one third-class hospital or three second-class hospitals in Dongyang City and sought to evaluate the effects of the medical community model on intravenous alteplase door-to-needle time (DNT) and prognosis of patients with acute ischemic stroke. Methods According to whether the medical community model is established or not, 303 AIS patients (204 cases from the third-class hospital and 99 cases from three second-class hospitals) were assigned to control group unavailable to the medical community model and 492 AIS patients (297 cases from the third-class hospital, and 195 cases from three second-class hospitals) into observational group available to the medical community model. Results A higher thrombolysis rate, a shorter DNT, more patients with DNT ≤ 60 min and DNT ≤ 45 min, a shorter ONT, lower National Institutes of Health Stroke Scale (NIHSS) scores at 24 h, 7 d, 14 d, and modified Rankin scale (mRS) scores at 3 months after thrombolytic therapy, a shorter length of hospital stay, and less hospitalization expense were found in the observational group than the control group. Subgroup analysis based on different-class hospitals revealed that the medical community model could reduce the DNT and ONT to increase the thrombolysis rate of AIS patients, especially in low-class hospitals. After the establishment of the medical community model, the AIS patients whether from the third-class hospital or three second-class hospitals exhibited lower NIHSS scores at 24 h, 7 d, 14 d after thrombolytic therapy (p < 0.05). After a 90-day follow-up for mRS scores, a significant difference was only noted in the mRS scores of AIS patients from the third-class hospital after establishing the medical community model (p < 0.05). It was also found that the medical community model led to reduced length of hospital stay and hospitalization expenses for AIS patients, especially for the second-class hospitals. Conclusion The data suggest that the medical community model could significantly reduce intravenous alteplase DNT and improve the prognosis of patients with AIS.
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Hung SH, Kramer S, Werden E, Campbell BCV, Brodtmann A. Pre-stroke Physical Activity and Cerebral Collateral Circulation in Ischemic Stroke: A Potential Therapeutic Relationship? Front Neurol 2022; 13:804187. [PMID: 35242097 PMCID: PMC8886237 DOI: 10.3389/fneur.2022.804187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/12/2022] [Indexed: 11/13/2022] Open
Abstract
Favorable cerebral collateral circulation contributes to hindering penumbral tissue from progressing to infarction and is associated with positive clinical outcomes after stroke. Given its clinical importance, improving cerebral collateral circulation is considered a therapeutic target to reduce burden after stroke. We provide a hypothesis-generating discussion on the potential association between pre-stroke physical activity and cerebral collateral circulation in ischemic stroke. The recruitment of cerebral collaterals in acute ischemic stroke may depend on anatomical variations, capacity of collateral vessels to vasodilate, and individual risk factors. Physical activity is associated with improved cerebral endothelial and vascular function related to vasodilation and angiogenic adaptations, and risk reduction in individual risk factors. More research is needed to understand association between cerebral collateral circulation and physical activity. A presentation of different methodological considerations for measuring cerebral collateral circulation and pre-stroke physical activity in the context of acute ischemic stroke is included. Opportunities for future research into cerebral collateral circulation, physical activity, and stroke recovery is presented.
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Affiliation(s)
- Stanley Hughwa Hung
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sharon Kramer
- Centre for Quality and Patient Safety Research, Alfred Health Partnership, Melbourne, VIC, Australia.,Faculty of Health, School of Nursing and Midwifery, Deakin University, Geelong, VIC, Australia
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Bruce C V Campbell
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
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Turc G, Hadziahmetovic M, Walter S, Churilov L, Larsen K, Grotta JC, Yamal JM, Bowry R, Katsanos AH, Zhao H, Donnan G, Davis SM, Hussain MS, Uchino K, Helwig SA, Johns H, Weber JE, Nolte CH, Kunz A, Steiner T, Sacco S, Ebinger M, Tsivgoulis G, Faßbender K, Audebert HJ. Comparison of Mobile Stroke Unit With Usual Care for Acute Ischemic Stroke Management: A Systematic Review and Meta-analysis. JAMA Neurol 2022; 79:281-290. [PMID: 35129584 PMCID: PMC8822443 DOI: 10.1001/jamaneurol.2021.5321] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/10/2021] [Indexed: 01/04/2023]
Abstract
IMPORTANCE So far, uncertainty remains as to whether there is sufficient cumulative evidence that mobile stroke unit (MSU; specialized ambulance equipped with computed tomography scanner, point-of-care laboratory, and neurological expertise) use leads to better functional outcomes compared with usual care. OBJECTIVE To determine with a systematic review and meta-analysis of the literature whether MSU use is associated with better functional outcomes in patients with acute ischemic stroke (AIS). DATA SOURCES MEDLINE, Cochrane Library, and Embase from 1960 to 2021. STUDY SELECTION Studies comparing MSU deployment and usual care for patients with suspected stroke were eligible for analysis, excluding case series and case-control studies. DATA EXTRACTION AND SYNTHESIS Independent data extraction by 2 observers, following the PRISMA and MOOSE reporting guidelines. The risk of bias in each study was determined using the ROBINS-I and RoB2 tools. In the case of articles with partially overlapping study populations, unpublished disentangled results were obtained. Data were pooled in random-effects meta-analyses. MAIN OUTCOMES AND MEASURES The primary outcome was excellent outcome as measured with the modified Rankin Scale (mRS; score of 0 to 1 at 90 days). RESULTS Compared with usual care, MSU use was associated with excellent outcome (adjusted odds ratio [OR], 1.64; 95% CI, 1.27-2.13; P < .001; 5 studies; n = 3228), reduced disability over the full range of the mRS (adjusted common OR, 1.39; 95% CI, 1.14-1.70; P = .001; 3 studies; n = 1563), good outcome (mRS score of 0 to 2: crude OR, 1.25; 95% CI, 1.09-1.44; P = .001; 6 studies; n = 3266), shorter onset-to-intravenous thrombolysis (IVT) times (median reduction, 31 minutes [95% CI, 23-39]; P < .001; 13 studies; n = 3322), delivery of IVT (crude OR, 1.83; 95% CI, 1.58-2.12; P < .001; 7 studies; n = 4790), and IVT within 60 minutes of symptom onset (crude OR, 7.71; 95% CI, 4.17-14.25; P < .001; 8 studies; n = 3351). MSU use was not associated with an increased risk of all-cause mortality at 7 days or at 90 days or with higher proportions of symptomatic intracranial hemorrhage after IVT. CONCLUSIONS AND RELEVANCE Compared with usual care, MSU use was associated with an approximately 65% increase in the odds of excellent outcome and a 30-minute reduction in onset-to-IVT times, without safety concerns. These results should help guideline writing committees and policy makers.
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Affiliation(s)
- Guillaume Turc
- Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université de Paris, Paris, France
- INSERM U1266, Paris, France
- FHU Neurovasc, Paris, France
| | | | - Silke Walter
- Department of Neurology, Saarland University Medical Center, Homburg, Germany
| | - Leonid Churilov
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Karianne Larsen
- The Norwegian Air Ambulance Foundation, Oslo, Norway
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - James C. Grotta
- Clinical Innovation and Research Institute, Memorial Hermann Hospital–Texas Medical Center, Houston
| | - Jose-Miguel Yamal
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, School of Public Health, Houston
| | - Ritvij Bowry
- Department of Neurology and Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston
| | - Aristeidis H. Katsanos
- Division of Neurology, McMaster University Population Health Research Institute, Hamilton, Ontario, Canada
- Second Department of Neurology, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Henry Zhao
- Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
- Department of Medicine, Melbourne Brain Centre at Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Geoffrey Donnan
- Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
- Department of Medicine, Melbourne Brain Centre at Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Stephen M. Davis
- Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
- Department of Medicine, Melbourne Brain Centre at Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Muhammad S. Hussain
- Cerebrovascular Center, Department of Neurology, and Critical Care Transport Team, Cleveland Clinic, Cleveland, Ohio
| | - Ken Uchino
- Cerebrovascular Center, Department of Neurology, and Critical Care Transport Team, Cleveland Clinic, Cleveland, Ohio
| | - Stefan A. Helwig
- Department of Neurology, Saarland University Medical Center, Homburg, Germany
| | - Hannah Johns
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Joachim E. Weber
- Klinik und Hochschulambulanz für Neurologie, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Christian H. Nolte
- Klinik und Hochschulambulanz für Neurologie, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
| | - Alexander Kunz
- Klinik für Neurologie, Neurologische Intensivmedizin, Zentrum für Hirngefäßerkrankungen, Asklepios Fachklinikum Brandenburg, Brandenburg, Germany
| | - Thorsten Steiner
- Department of Neurology, Klinikum Frankfurt Höchst, Frankfurt, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Simona Sacco
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Martin Ebinger
- Klinik und Hochschulambulanz für Neurologie, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
- Klinik für Neurologie Medical Park Berlin Humboldtmühle, Berlin, Germany
| | - Georgios Tsivgoulis
- Second Department of Neurology, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis
| | - Klaus Faßbender
- Department of Neurology, Saarland University Medical Center, Homburg, Germany
| | - Heinrich J. Audebert
- Klinik und Hochschulambulanz für Neurologie, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
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Piechowski-Jozwiak B, Abidi E, El Nekidy WS, Bogousslavsky J. Clinical Pharmacokinetics and Pharmacodynamics of Desmoteplase. Eur J Drug Metab Pharmacokinet 2022; 47:165-176. [PMID: 34893967 PMCID: PMC8664670 DOI: 10.1007/s13318-021-00743-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2021] [Indexed: 11/20/2022]
Abstract
Desmoteplase is a bat (Desmodus rotundus) saliva-derived fibrinolytic enzyme resembling a urokinase and tissue plasminogen activator. It is highly dependent on fibrin and has some neuroprotective attributes. Intravenous administration of desmoteplase is safe and well tolerated in healthy subjects. Plasma fibrinolytic activity is linearly related to its blood concentration, its terminal elimination half-life ranges from 3.8 to 4.92 h (50 vs. 90 μg/kg dose). Administration of desmoteplase leads to transitory derangement of fibrinogen, D-dimer, alpha2-antiplasmin, and plasmin and antiplasmin complex which normalize within 4-12 h. It does not alter a prothrombin test, international normalized ratio, activated partial thromboplastin time, and prothrombin fragment 1.2. Desmoteplase was tested in myocardial infarction and pulmonary embolism and showed promising results versus alteplase. In ischemic stroke trials, desmoteplase was linked to increased rates of symptomatic intracranial hemorrhages and case fatality. However, data from "The desmoteplase in Acute Ischemic Stroke" Trials, DIAS-3 and DIAS-J, suggest that the drug is well tolerated and its safety profile is comparable to placebo. Desmoteplase is theoretically a superior thrombolytic because of high fibrin specificity, no activation of beta-amyloid, and lack of neurotoxicity. It was associated with better outcomes in patients with significant stenosis or occlusion of a proximal precerebral vessels. However, DIAS-4 was stopped as it might have not reached its primary endpoint. Due to its promising properties, desmoteplase may be added into treatment of ischemic stroke with extension of the time window and special emphasis on patients presenting outside the 4.5-h thrombolysis window, with wake-up strokes and strokes of unknown onset.
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Affiliation(s)
- Bartlomiej Piechowski-Jozwiak
- Neurological Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE
- Cleveland Clinic Lerner College of Medicine of Case Western University, Cleveland, OH, USA
- Department of Neurology, King's College Hospital, Denmark Hill, London, SE5 9RS, UK
| | - Emna Abidi
- Department of Pharmacy, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
| | - Wasim S El Nekidy
- Cleveland Clinic Lerner College of Medicine of Case Western University, Cleveland, OH, USA
- Department of Pharmacy, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE
| | - Julien Bogousslavsky
- Center for Brain and Nervous System Diseases (Neurocenter), Genolier Swiss Medical Network (Geneva, Lausanne, Glion, Genolier, Fribourg, Zurich), Clinique Valmont, 1823, Glion/Montreux, Switzerland
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Bao H, Zhang S, Hao J, Zuo L, Xu X, Yang Y, Jiang H, Li G. Improving the Prehospital Identification and Acute Care of Acute Stroke Patients: A Quality Improvement Project. Emerg Med Int 2022; 2022:3456144. [PMID: 35186333 PMCID: PMC8850070 DOI: 10.1155/2022/3456144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/28/2021] [Accepted: 01/03/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There are a large number of stroke patients in China, and there is currently a lack of prehospital acute stroke care training programs. AIM To develop a prehospital emergency medical service (PEMS) training program to improve the prehospital identification and acute care of acute stroke. METHODS Forty prehospital emergency doctors whose service stations are located within a 10 km radius from Shanghai Pudong New Area Medical Emergency Service Center took this course on November 13, 2014. A questionnaire was designed to evaluate the PEMS personnel's knowledge in stroke and acute stroke care and was conducted before and after training as an assessment of the effectiveness of training. The patient population in this study included a baseline cohort before training and a prospective cohort after training, each composed of patients who were sent to Shanghai East Hospital South Stoke Center within one year. The transit time, final diagnosis, administration of thrombolysis, and door-to-needle time (DNT) were collected and analyzed. RESULTS After the training, 100% of the PEMS personnel were competent to identify stroke cases using the Cincinnati prehospital stroke scale (CPSS). All participants realized that intravenous thrombolysis therapy in a time-sensitive manner is the most effective way to treat acute ischemic stroke. Although there was no difference in first-aid transit time before and after training, the stroke diagnosis rate improved by 6.5% after training (P=0.03). The thrombolysis rate increased to 29.6% from 24.3% but did not reach statistical significance. Compared to 84.0 minutes (standard deviation: 23.1 minutes) before the training, the average DNT after training was 53 minutes (standard deviation: 15.0 minutes), demonstrating a remarkable reduction (P < 0.01). CONCLUSION The training program effectively improved the PEMS personnel's knowledge in stroke and stroke acute care.
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Affiliation(s)
- Huan Bao
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Sumian Zhang
- Department of ICU, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Junjie Hao
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Lian Zuo
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Xiahong Xu
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Yumei Yang
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Hua Jiang
- Department of Medical Education, Shanghai Pudong Medical Emergency Center, Shanghai 201206, China
| | - Gang Li
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
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Improving Thrombolysis for Acute Ischemic Stroke: The Implementation and Evaluation of a Theory-Based Resource Integration Project in China. Int J Integr Care 2022; 22:9. [PMID: 35221825 PMCID: PMC8833266 DOI: 10.5334/ijic.5616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 01/27/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction: Intravenous thrombolysis for acute ischemic stroke remains underused in the developing countries. In 2016, a theory-based resource integration project was initiated at a major stroke center in China. This report describes the implementation process and results of the quality improvement project. Description: Eighteen environment-tailored interventions were implemented, including stroke code activation, electronic wristband bundling, structured information sharing, etc. The project was implemented from July 2016 to June 2017. A total of 519 acute ischemic stroke patients were included. After the intervention, median DNT decreased from 62 min to 37 min (P < 0.001). The percentage of cases treated within 30, 45 or 60 minutes increased from 2.5%, 17.4% and 44.6% to 27.4%, 69.4% and 84.7% respectively (P < 0.001). The median length of inpatient stay decreased from 10 days to 8 days (P < 0.001). The proportion of patients with severe disability decreased from 25.5% to 15.8% post-intervention. Discussion: Adequate pre-intervention activities are important conditions for the smooth implementation of the complex service integration initiative. The new treatment pathway has undergone a process of destruction, remodeling and solidification before stable and effective operation. In order to realize the full effect of service integration, whole society efforts are also required. Conclusions: Introduction of the theory-based resource integration project was associated with increased thrombolysis administrations, shorter DNT, and no statistically significant change in adverse outcomes. The basic principles of this project might be applicable to various resource settings.
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47
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Bugge HF, Guterud M, Bache KCG, Braarud AC, Eriksen E, Fremstad KO, Ihle-Hansen H, Ingebretsen SH, Kramer-Johansen J, Larsen K, Røislien J, Thorsen K, Toft M, Sandset EC, Hov MR. Paramedic Norwegian Acute Stroke Prehospital Project (ParaNASPP) study protocol: a stepped wedge randomised trial of stroke screening using the National Institutes of Health Stroke Scale in the ambulance. Trials 2022; 23:113. [PMID: 35120559 PMCID: PMC8814805 DOI: 10.1186/s13063-022-06006-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 01/04/2022] [Indexed: 11/28/2022] Open
Abstract
Background Less than 50% of stroke patients in Norway reach hospital within 4 h of symptom onset. Early prehospital identification of stroke and triage to the right level of care may result in more patients receiving acute treatment. Quality of communication between paramedics and the stroke centre directly affects prehospital on-scene time, emphasising this as a key factor to reduce prehospital delay. Prehospital stroke scales are developed for quick and easy identification of stroke, but have poor sensitivity and specificity compared to an in-hospital assessment with the National Institutes of Health Stroke Scale (NIHSS). The aim of the Paramedic Norwegian Acute Stroke Prehospital Project (ParaNASPP) is to assess whether a structured learning program, prehospital NIHSS and a mobile application facilitating communication with the stroke physician may improve triage of acute stroke patients. Methods A stepped wedge cluster randomised controlled intervention design will be used in this trial in Oslo, Norway. Paramedics at five ambulance stations will enrol adult patients with suspected stroke within 24 h of symptom onset. All paramedics will begin in a control phase with standard procedures. Through an e-learning program and practical training, a random and sequential switch to the intervention phase takes place. A mobile application for NIHSS scoring, including vital patient information for treatment decisions, transferring data from paramedics to the on-call stroke physician at the Stroke Unit at Oslo University Hospital, will be provided for the intervention. The primary outcome measure is positive predictive value (PPV) for prehospital identification of patients with acute stroke defined as the proportion of patients accepted for stroke evaluation and discharged with a final stroke diagnosis. One thousand three hundred patients provide a 50% surplus to the 808 patients needed for 80% power to detect a 10% increase in PPV. Discussion Structured and digital communication using a common scale like NIHSS may result in increased probability for better identification of stroke patients and less stroke mimics delivered to a stroke team for acute diagnostics and treatment in our population. Trial registration ClinicalTrials.govNCT04137874. Registered on October 24, 2019. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06006-4.
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Affiliation(s)
- Helge Fagerheim Bugge
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Department of Neurology, Stroke Unit, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mona Guterud
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Prehospital Services, Oslo University Hospital, Oslo, Norway
| | - Kristi C G Bache
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Institute of Basal Medical Science, University of Oslo, Oslo, Norway
| | | | - Erik Eriksen
- Department of Neurology, Stroke Unit, Oslo University Hospital, Oslo, Norway
| | - Kjell Otto Fremstad
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Division of Prehospital Services, Oslo University Hospital, Oslo, Norway
| | - Hege Ihle-Hansen
- Department of Neurology, Stroke Unit, Oslo University Hospital, Oslo, Norway
| | | | - Jo Kramer-Johansen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Prehospital Services, Oslo University Hospital, Oslo, Norway
| | - Karianne Larsen
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Institute of Basal Medical Science, University of Oslo, Oslo, Norway
| | - Jo Røislien
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Faculty of Health Sciences, University of Stavanger, Oslo, Norway
| | | | - Mathias Toft
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Else Charlotte Sandset
- Norwegian Air Ambulance Foundation, Oslo, Norway.,Department of Neurology, Stroke Unit, Oslo University Hospital, Oslo, Norway
| | - Maren Ranhoff Hov
- Norwegian Air Ambulance Foundation, Oslo, Norway. .,Department of Neurology, Stroke Unit, Oslo University Hospital, Oslo, Norway. .,Oslo Metropolitan University, Oslo, Norway.
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Evans NR, Sibson L, Day DJ, Agarwal S, Shekhar R, Warburton EA. Hyperacute stroke thrombolysis via telemedicine: a multicentre study of performance, safety and clinical efficacy. BMJ Open 2022; 12:e057372. [PMID: 35039306 PMCID: PMC8765016 DOI: 10.1136/bmjopen-2021-057372] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES Timely thrombolysis of ischaemic stroke improves functional recovery, yet its delivery nationally is challenging due to shortages in the stroke specialist workforce and large geographical areas. One solution is remote stroke specialist input to regional centres via telemedicine. This study evaluates the usage and key metrics of performance of the East of England Stroke Telemedicine Partnership-the largest telestroke service in the UK-in providing hyperacute stroke care. DESIGN Prospective observational study. SETTING The East of England Stroke Telemedicine Partnership provides a horizontal 'hubless' model of out-of-hours hyperacute stroke care to a population of 6.2 million across a 7500 square mile semirural region. PARTICIPANTS All (2709) telestroke consultations between 1 January 2014 and 31 December 2019. MAIN OUTCOME MEASURES Thrombolysis decision, pre-thrombolysis and post-thrombolysis stroke severity (National Institutes of Health Stroke Scale, NIHSS), haemorrhagic complications, and hyperacute pathway timings. RESULTS Over the period, 1149 (42.4%) individuals were thrombolysed. Thrombolysis rates increased from 147/379 (38.8%) in 2014 to 225/490 (45.9%) in 2019. Median (IQR) pre-thrombolysis NIHSS was 10 (6-17), reducing to 6 (2-14) 24-hour post-thrombolysis (p<0.001). Post-thrombolysis haemorrhage occurred in 27 cases (2.3%). Over the period, median (IQR) door-to-needle time reduced from 85 (65-108) min to 68 (55-97.5) min (p<0.01), driven by improved imaging-to-needle times from 52.5 (38-72.25) min to 42 (30.5-62.5) min (p<0.01). However, the same period saw an increase in median onset-to-hospital arrival time from 77.5 (60-109.25) min to 95 (70-135) min (p<0.001). CONCLUSIONS The results from this large hyperacute telestroke cohort indicate two important points for clinical practice. First, telemedicine via a hubless horizontal model provides a clinically effective and safe method for delivering hyperacute stroke thrombolysis. Second, improved door-to-needle times were offset by a concerning rise in prehospital timings. These findings indicate that although telemedicine may benefit in-hospital hyperacute stroke care, improvements across the whole stroke pathway are essential.
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Affiliation(s)
- Nicholas Richard Evans
- Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Lynda Sibson
- Department of Stroke Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Diana J Day
- Department of Stroke Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Smriti Agarwal
- Department of Stroke Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Raj Shekhar
- Department of Stroke Medicine, Queen Elizabeth Hospital King's Lynn NHS Foundation Trust, King's Lynn, Norfolk, UK
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Kang J, Liu X, Cao S, Zeiler SR, Graham EM, Boctor EM, Koehler RC. Transcranial photoacoustic characterization of neurovascular physiology during early-stage photothrombotic stroke in neonatal piglets in vivo. J Neural Eng 2022; 18:10.1088/1741-2552/ac4596. [PMID: 34937013 PMCID: PMC9112348 DOI: 10.1088/1741-2552/ac4596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/22/2021] [Indexed: 01/07/2023]
Abstract
OBJECTIVE Perinatal ischemic stroke is estimated to occur in 1/2300-1/5000 live births, but early differential diagnosis from global hypoxia-ischemia is often difficult. In this study, we tested the ability of a hand-held transcranial photoacoustic (PA) imaging probe to non-invasively detect a focal photothrombotic stroke (PTS) within 2 h of stroke onset in a gyrencephalic piglet brain. APPROACH About 17 stroke lesions of approximately 1 cm2area were introduced randomly in anterior or posterior cortex via the light/dye PTS technique in anesthetized neonatal piglets (n= 11). The contralateral non-ischemic region served as control tissue for discrimination contrast for the PA hemoglobin metrics: oxygen saturation, total hemoglobin (tHb), and individual quantities of oxygenated and deoxygenated hemoglobin (HbO2and HbR). MAIN RESULTS The PA-derived tissue oxygen saturation at 2 h yielded a significant separation between control and affected regions-of-interest (p< 0.0001), which were well matched with 24 h post-stroke cerebral infarction confirmed in the triphenyltetrazolium chloride-stained image. The quantity of HbO2also displayed a significant contrast (p= 0.021), whereas tHb and HbR did not. The analysis on receiver operating characteristic curves and multivariate data analysis also agreed with the results above. SIGNIFICANCE This study shows that a hand-held transcranial PA neuroimaging device can detect a regional thrombotic stroke in the cerebral cortex of a neonatal piglet. In particular, we conclude that the oxygen saturation metric can be used alone to identify regional stroke lesions. The lack of change in tHb may be related to arbitrary hand-held imaging configuration and/or entrapment of red blood cells within the thrombotic stroke.
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Affiliation(s)
- Jeeun Kang
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States of America,These authors equally contributed
| | - Xiuyun Liu
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States of America,These authors equally contributed
| | - Suyi Cao
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States of America
| | - Steven R Zeiler
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, United States of America
| | - Ernest M Graham
- Division of Maternal-Fetal Medicine, Department of Gynecology-Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States of America,Neuroscience Intensive Care Nursery Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States of America
| | - Emad M Boctor
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States of America,Authors to whom any correspondence should be addressed. and
| | - Raymond C Koehler
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States of America,Authors to whom any correspondence should be addressed. and
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50
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Gutiérrez-Zúñiga R, Uclés J, Sánchez-Manso JC, Fuentes B, de Celis E, Ruiz-Ares G, Rodríguez-Pardo J, Rigual R, Casado L, Alonso E, Fernández-Prieto A, Navia P, Álvarez-Muelas A, Marín B, Díez Tejedor E, Alonso de Leciñana M. The use of a smartphone application to improve stroke code workflow metrics: A pilot study in a comprehensive stroke centre. Digit Health 2022; 8:20552076221137252. [PMID: 36406153 PMCID: PMC9669691 DOI: 10.1177/20552076221137252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/01/2022] [Indexed: 11/17/2022] Open
Abstract
Background Timely coordination between stroke team members is of relevance for stroke code management. We explore the feasibility and potential utility of a smartphone application for clinical and neuroimaging data sharing for improving workflow metrics of stroke code pathways, and professionals' opinions about its use. Methods We performed an observational pilot study including stroke code activations at La Paz University Hospital in Madrid, from June 2019 to March 2020. Patients were classified according to the activation or not of the JOIN app by the attending physician. Clinical data and time-to-procedures were retrieved from the app or from the hospital records and the Madrid regional stroke registry as appropriate and compared between both groups. An anonymous survey collected professionals' opinions about the app and its use. Results A total of 282 stroke code activations were registered. The JOIN app was activated in 111 (39%) cases. They had a significant reduction in imaging-to-thrombolysis (31 vs 20 min, p = .026) and in door-to-thrombolysis times (51 vs 36 min, p = .004), with more patients achieving a door-to-needle time below 45 min (68.8% vs 37.8%, p = .016). About 50% of the users found the app useful for facilitating the diagnosis and decision-making; interoperability with clinical files was considered an opportunity for improvement. Conclusions This pilot study suggests that JOIN helps improve and document workflow metrics in acute stroke management in a comprehensive stroke centre. These results support testing JOIN in a prospective randomised study to confirm its usefulness and the general applicability of the results.
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Affiliation(s)
- Raquel Gutiérrez-Zúñiga
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Jorge Uclés
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Juan Carlos Sánchez-Manso
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Blanca Fuentes
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Elena de Celis
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Gerardo Ruiz-Ares
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Jorge Rodríguez-Pardo
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Ricardo Rigual
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Laura Casado
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Elisa Alonso
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Andrés Fernández-Prieto
- Section of Neuroradiology, Department of Radiology, Hospital La Paz
Institute for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Pedro Navia
- Section of Neuroradiology, Department of Radiology, Hospital La Paz
Institute for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Alberto Álvarez-Muelas
- Section of Neuroradiology, Department of Radiology, Hospital La Paz
Institute for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Begoña Marín
- Section of Neuroradiology, Department of Radiology, Hospital La Paz
Institute for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Exuperio Díez Tejedor
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - María Alonso de Leciñana
- Department of Neurology and Stroke Centre, Hospital La Paz Institute
for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
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