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Bonner J, Love CJ, Bhat V, Siegler JE. Should they stay or should they go? Stroke transfers across a hospital network pre- and post-implementation of an automated image interpretation and communication platform. Interv Neuroradiol 2024:15910199241272652. [PMID: 39140986 DOI: 10.1177/15910199241272652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND A key decision facing nonthrombectomy capable (spoke) hospitals is whether to transfer a suspected large vessel occlusion (LVO) patient to a comprehensive stroke center (CSC). In a retrospective cohort study, we investigated the rate of transfers resulting in endovascular thrombectomy (EVT) and associated costs before and after implementation of an artificial intelligence (AI)-based software. METHODS All patients with a final diagnosis of acute ischemic stroke presenting across a five-spoke community hospital network in affiliation with a CSC were included. The Viz LVO (Viz.ai, Inc.) software was implemented across the spokes with image sharing and messaging between providers across sites. In a cohort of patients before (pre-AI, December 2018-October 2020) and after (post-AI, October 2020-August 2022) implementation, we compared the EVT rate among ischemic stroke patients transferred out of our health system to the CSC. Secondary outcomes included the EVT rate based on spoke computed tomography angiography (CTA) and estimated transfer costs. RESULTS A total of 3113 consecutive eligible patients (mean age 71 years, 50% female) presented to the spoke hospitals with 162 transfers pre-AI and 127 post-AI. The rate of transfers treated with EVT significantly increased (32.1% pre-AI vs. 45.7% post-AI, p = 0.02). There was a sharp increase in CTA use post-AI at the spoke hospitals for all patients and transfers that likely contributed to the increased EVT transfer rate, but prior spoke CTA use alone was not sufficient to account for all improvement in EVT transfer rate (37.2% pre-AI vs. 49.2% post-AI, p = 0.12). In a binary logistic regression model, the odds of an EVT transfer in the intervention period were 1.85 greater as compared to preintervention (adjusted odds ratio 1.85, 95% confidence interval 1.12-3.06). The decrease in non-EVT transfers resulted in an estimated annual benefit of $206,121 in spoke revenue and $119,921 in payor savings (all US dollars). CONCLUSIONS The implementation of an automated image interpretation and communication platform was associated with increased CTA use, more transfers treated with EVT, and potential economic benefits.
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Affiliation(s)
- James Bonner
- Department of Emergency Medicine, Inspira Medical Center, Mullica Hill, NJ, USA
| | | | - Vipul Bhat
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - James E Siegler
- Department of Neurology, University of Chicago, Chicago, IL, USA
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2
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Arrarte Terreros N, Stolp J, Bruggeman AAE, Swijnenburg ISJ, Lopes RR, van Meenen LCC, Groot AED, Kappelhof M, Coutinho JM, Roos YBWEM, Emmer BJ, Beenen LFM, Dippel DWJ, van Zwam WH, van Bavel E, Marquering HA, Majoie CBLM. Thrombus Imaging Characteristics to Predict Early Recanalization in Anterior Circulation Large Vessel Occlusion Stroke. J Cardiovasc Dev Dis 2024; 11:107. [PMID: 38667725 PMCID: PMC11050543 DOI: 10.3390/jcdd11040107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 03/23/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
The early management of transferred patients with a large vessel occlusion (LVO) stroke could be improved by identifying patients who are likely to recanalize early. We aim to predict early recanalization based on patient clinical and thrombus imaging characteristics. We included 81 transferred anterior-circulation LVO patients with an early recanalization, defined as the resolution of the LVO or the migration to a distal location not reachable with endovascular treatment upon repeated radiological imaging. We compared their clinical and imaging characteristics with all (322) transferred patients with a persistent LVO in the MR CLEAN Registry. We measured distance from carotid terminus to thrombus (DT), thrombus length, density, and perviousness on baseline CT images. We built logistic regression models to predict early recanalization. We validated the predictive ability by computing the median area-under-the-curve (AUC) of the receiver operating characteristics curve for 100 5-fold cross-validations. The administration of intravenous thrombolysis (IVT), longer transfer times, more distal occlusions, and shorter, pervious, less dense thrombi were characteristic of early recanalization. After backward elimination, IVT administration, DT and thrombus density remained in the multivariable model, with an AUC of 0.77 (IQR 0.72-0.83). Baseline thrombus imaging characteristics are valuable in predicting early recanalization and can potentially be used to optimize repeated imaging workflow.
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Affiliation(s)
- Nerea Arrarte Terreros
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands (E.v.B.)
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Jeffrey Stolp
- Department of Neurology, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (J.S.)
| | - Agnetha A. E. Bruggeman
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Isabella S. J. Swijnenburg
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands (E.v.B.)
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Ricardo R. Lopes
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands (E.v.B.)
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Laura C. C. van Meenen
- Department of Neurology, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (J.S.)
| | - Adrien E. D. Groot
- Department of Neurology, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (J.S.)
| | - Manon Kappelhof
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands (E.v.B.)
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Jonathan M. Coutinho
- Department of Neurology, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (J.S.)
| | - Yvo B. W. E. M. Roos
- Department of Neurology, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (J.S.)
| | - Bart J. Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Ludo F. M. Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | | | - Wim H. van Zwam
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
| | - Ed van Bavel
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands (E.v.B.)
| | - Henk A. Marquering
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands (E.v.B.)
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Charles B. L. M. Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
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Galecio-Castillo M, Vivanco-Suarez J, Zevallos CB, Dajles A, Weng J, Farooqui M, Ribo M, Jovin TG, Ortega-Gutierrez S. Direct to angiosuite strategy versus standard workflow triage for endovascular therapy: systematic review and meta-analysis. J Neurointerv Surg 2023; 15:e17-e25. [PMID: 35710313 DOI: 10.1136/neurintsurg-2022-018895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/23/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Reducing stroke workflow times when performing endovascular thrombectomy is associated with improvement in clinical outcomes. We compared outcomes among large vessel occlusion (LVO) stroke patients following the direct to angiosuite (DTAS) strategy versus standard workflow (SW) when undergoing endovascular therapy. METHODS We conducted a systematic review and meta-analysis to compare rates of functional outcomes, reperfusion, symptomatic intracranial hemorrhage (sICH) and stroke workflow metrics. We included observational studies and clinical trials that compared the DTAS strategy versus SW, and at least one outcome of interest was assessed. Clinical, methodological and statistical heterogeneity were measured, and a random-effects model was used. RESULTS 12 studies were included in the systematic review and 8 in the meta-analysis (n=2890). The DTAS strategy was associated with significant higher odds of good functional outcome at 90 days (47.3% vs 34.9%; OR 1.58, 95% CI 1.16 to 2.14) and a significant average reduction of door-to-puncture (mean differences (MD) -35.09, 95% CI -49.76 to -20.41) and door-to-reperfusion times (MD -32.88, 95% CI -50.75 to -15.01). We found no differences in sICH (OR 0.80, 95% CI 0.53 to 1.20), mortality (OR 1.00, 95% CI 0.60 to 1.67) or successful reperfusion rates (OR 1.37, 95% CI 0.82 to 2.29). Moreover, the DTAS strategy was associated with greater odds of dramatic clinical improvement at 24 hours (OR 1.79, 95% CI 1.15 to 2.79). CONCLUSION Patients undergoing the DTAS strategy had a significant reduction in door-to-puncture and door-to-reperfusion times. This resulted in an increased rate of early neurological and 90-day functional recovery without compromising safety in LVO patients undergoing endovascular thrombectomy.
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Affiliation(s)
| | - Juan Vivanco-Suarez
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Cynthia B Zevallos
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Andres Dajles
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Julie Weng
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Mudassir Farooqui
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Marc Ribo
- Stroke Unit. Neurology, Hospital Vall d'Hebron, Barcelona, Spain
- Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Tudor G Jovin
- Neurology, Cooper University Hospital, Camden, New Jersey, USA
| | - Santiago Ortega-Gutierrez
- Neurology, Neurosurgery and Radiology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
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Jun-O’Connell AH, Sivakumar S, Henninger N, Silver B, Trivedi M, Ghasemi M, Lalla RR, Kobayashi KJ. Outcomes of Telestroke Inter-Hospital Transfers Among Intervention and Non-Intervention Patients. J Clin Med Res 2023; 15:292-299. [PMID: 37434777 PMCID: PMC10332878 DOI: 10.14740/jocmr4945] [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: 05/11/2023] [Accepted: 06/10/2023] [Indexed: 07/13/2023] Open
Abstract
Background Telestroke is an established telemedicine method of delivering emergency stroke care. However, not all neurological patients utilizing telestroke service require emergency interventions or transfer to a comprehensive stroke center. To develop an understanding of the appropriateness of inter-hospital neurological transfers utilizing the telemedicine, our study aimed to assess the differences in outcomes of inter-hospital transfers utilizing the service in relation to the need for neurological interventions. Methods The pragmatic, retrospective analysis included 181 consecutive patients, who were emergently transferred from telestroke-affiliated regional medical centers between October 3, 2021, and May 3, 2022. In this exploratory study investigating the outcomes of telestroke-referred patients, patients receiving interventions were compared to those that did not following transfer to our tertiary center. Neurological interventions included mechanical thrombectomy (MT) and/or tissue plasminogen activator (tPA), craniectomy, electroencephalography (EEG), or external ventricular drain (EVD). Transfer mortality rate, discharge functional status defined by modified Rankin scale (mRS), neurological status defined by National Institutes of Health Stroke Scale (NIHSS), 30-day unpreventable readmission rate, 90-day clinical major adverse cardiovascular events (MACE), and 90-day mRS, and NIHSS were studied. We used χ2 or Fisher exact tests to evaluate the association between the intervention and categorical or dichotomous variables. Continuous or ordinal measures were compared using Wilcoxon rank-sum tests. All tests of statistical significance were considered to be significant at P < 0.05. Results Among the 181 transferred patients, 114 (63%) received neuro-intervention and 67 (37%) did not. The death rate during the index admission was not statistically significant between the intervention and non-intervention groups (P = 0.196). The discharge NIHSS and mRS were worse in the intervention compared to the non-intervention (P < 0.05 each, respectively). The 90-day mortality and cardiovascular event rates were similar between intervention and non-intervention groups (P > 0.05 each, respectively). The 30-day readmission rates were also similar between the two groups (14% intervention vs. 13.4% non-intervention, P = 0.910). The 90-day mRS were not significantly different between intervention and non-intervention groups (median 3 (IQR: 1 - 6) vs. 2 (IQR: 0 - 6), P = 0.109). However, 90-day NIHSS was worse in the intervention compared to non-intervention group (median 2 (IQR: 0 - 11) vs. 0 (IQR: 0 - 3), P = 0.004). Conclusions Telestroke is a valuable resource that expedites emergent neurological care via referral to a stroke center. However, not all transferred patients benefit from the transfer process. Future multicenter studies are warranted to study the effects or appropriateness of telestroke networks, and to better understand the patient characteristics, resources allocation, and transferring institutions to improve telestroke care.
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Affiliation(s)
- Adalia H. Jun-O’Connell
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Shravan Sivakumar
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Brian Silver
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Meghna Trivedi
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Mehdi Ghasemi
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Rakhee R. Lalla
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Kimiyoshi J. Kobayashi
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
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5
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McCullough-Hicks M, Thatikunta P, Mlynash M, Albers GW, Mijalski-Sells C. Visual review of acute stroke neuroimaging prior to transfer acceptance increases likelihood of endovascular therapy. J Stroke Cerebrovasc Dis 2023; 32:107157. [PMID: 37126905 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107157] [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: 01/16/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/03/2023] Open
Abstract
OBJECTIVES Demand for thrombectomy, and interhospital transfer to comprehensive stroke centers (CSCs), for acute stroke is increasing. There is an urgent need to identify patients most likely to benefit from transfer. We evaluated whether CSC providers' review of neuroimaging prior to transfer acceptance improved patient selection for thrombectomy and correlated with higher rates of treatment. MATERIALS AND METHODS A retrospective database of all patients transferred to Stanford's CSC for thrombectomy between 2015-2019 was used. Pre-acceptance images, when available for visual review, were reviewed by the CSC stroke team via virtual PACS, RAPID software, or LifeImage platforms. RESULTS 525 patients met inclusion criteria. 147 (28%) had neuroimaging available for review prior to transfer. Of those who did not recanalize en route, 267 (50.8%) underwent thrombectomy. Patients with imaging available for review prior to acceptance were significantly more likely to receive thrombectomy (68% vs 54%, RR 1.26; p=0.006, 95% CI 1.09-1.48). Patient images that were reviewed via RAPID were CT-based perfusion studies; these were more likely to receive thrombectomy (70% vs 54%, RR 1.30; p=0.01, 1.09-1.56). Patients who received EVT were more likely to have had pre-transfer vessel imaging, regardless of availability for visual review (76% vs 59%, RR 1.44; p<0.001, 1.18-1.76). CONCLUSIONS Patients with concern for acute stroke transferred for consideration of thrombectomy who had neuroimaging visually reviewed prior to transfer acceptance and did not recanalize by time of arrival were significantly more likely to undergo thrombectomy. Additional prospective studies are needed to confirm our findings.
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Affiliation(s)
| | - Prateek Thatikunta
- Stanford University Department of Neurology, Stroke Division, Palo Alto, CA, USA.
| | - Michael Mlynash
- Stanford University Department of Neurology, Stroke Division, Palo Alto, CA, USA.
| | - Gregory W Albers
- Stanford University Department of Neurology, Stroke Division, Palo Alto, CA, USA.
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6
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Seners P, Scheldeman L, Christensen S, Mlynash M, Ter Schiphorst A, Arquizan C, Costalat V, Henon H, Bretzner M, Heit JJ, Olivot JM, Lansberg MG, Albers GW. Determinants of Infarct Core Growth During Inter-hospital Transfer for Thrombectomy. Ann Neurol 2023; 93:1117-1129. [PMID: 36748945 DOI: 10.1002/ana.26613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/09/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Patients with acute ischemic stroke harboring a large vessel occlusion who present to primary stroke centers often require inter-hospital transfer for thrombectomy. We aimed to determine clinical and imaging factors independently associated with fast infarct growth (IG) during inter-hospital transfer. METHODS We retrospectively analyzed data from acute stroke patients with a large vessel occlusion transferred for thrombectomy from a primary stroke center to one of three French comprehensive stroke centers, with an MRI obtained at both the primary and comprehensive center before thrombectomy. Inter-hospital IG rate was defined as the difference in infarct volumes on diffusion-weighted imaging between the primary and comprehensive center, divided by the delay between the two MRI scans. The primary outcome was identification of fast progressors, defined as IG rate ≥5 mL/hour. The hypoperfusion intensity ratio (HIR), a surrogate marker of collateral blood flow, was automatically measured on perfusion imaging. RESULTS A total of 233 patients were included, of whom 27% patients were fast progressors. The percentage of fast progressors was 3% among patients with HIR < 0.40 and 71% among those with HIR ≥ 0.40. In multivariable analysis, fast progression was independently associated with HIR, intracranial carotid artery occlusion, and exclusively deep infarct location at the primary center (C-statistic = 0.95; 95% confidence interval [CI], 0.93-0.98). IG rate was independently associated with good functional outcome (adjusted OR = 0.91; 95% CI, 0.83-0.99; P = 0.037). INTERPRETATION Our findings show that a HIR > 0.40 is a powerful indicator of fast inter-hospital IG. These results have implication for neuroprotection trial design, as well as informing triage decisions at primary stroke centers. ANN NEUROL 2023.
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Affiliation(s)
- Pierre Seners
- Stanford Stroke Center, Stanford University, Palo Alto, CA.,Neurology Department, A. de Rothschild Foundation Hospital, Paris, France.,Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, INSERM, Université de Paris, Paris, France
| | - Lauranne Scheldeman
- Stanford Stroke Center, Stanford University, Palo Alto, CA.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium.,Department of Neurosciences, Experimental Neurology KU Leuven, University of Leuven, Leuven, Belgium.,Center for Brain and Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium
| | | | | | | | | | - Vincent Costalat
- Neuroradiology Department, CHRU Gui de Chauliac, Montpellier, France
| | - Hilde Henon
- Stroke Center, University of Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, Lille, France
| | | | - Jeremy J Heit
- Neuroradiology Department, Stanford University, Palo Alto, CA
| | - Jean-Marc Olivot
- Acute Stroke Unit, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse and Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
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Sousa JA, Machado AR, Rito-Cruz L, Paiva-Simões J, Santos-Martins L, Bernardo-Castro S, Martins AI, Brás A, Almendra L, Cecília C, Machado C, Rodrigues B, Galego O, Nunes C, Veiga R, Santo G, Silva F, Machado E, Sargento-Freitas J. Single-phase CT angiography predicts ASPECTS decay and may help determine when to repeat CT before thrombectomy. J Stroke Cerebrovasc Dis 2022; 31:106815. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/02/2022] [Accepted: 09/23/2022] [Indexed: 11/21/2022] Open
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Drip and ship and mothership models of mechanical thrombectomy result in similar outcomes in acute ischemic stroke of the anterior circulation. J Stroke Cerebrovasc Dis 2022; 31:106733. [PMID: 36030578 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106733] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 08/05/2022] [Accepted: 08/14/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Stroke therapy has been transformed in recent years due to the availability of thrombolysis and mechanical thrombectomy (MT). Whether transferring the patient directly to a comprehensive stroke center (CSC, mothership model) is better than taking them to a primary stroke center (PSC) and then to a CSC for MT (drip and ship) is unclear but has important implications. We compared the performance of both models in a district of the Basque country, Spain. METHODS This is a retrospective analysis of prospectively collected data of all acute ischemic stroke patients consecutively admitted to the Neurology Department of two institutions and eligible for MT over a 36-month period with anterior circulation large vessel occlusion (LVO). One center applied the mothership model and the other the drip-and-ship. The two models were compared in terms of mortality and functional status assessed by modified Rankin (mRS) scale at 90 days. As a surrogate of the effectiveness of the two models, all times pertinent to stroke therapy were recorded. RESULTS A total of 187 patients were evaluated subjected to MT with the drip-and-ship model and 188 with mothership, with a median NIHSS of 15. Prior to MT, 17% of the drip-and-ship patients received thrombolysis and 26% in the mothership. Neither mortality rate nor mRS showed statistically significant differences 90 days after stroke. The time lapse from stroke to MT was optimal in both models; albeit being 10 minutes longer in the drip-and-ship model, it had no impact on patients' outcomes. CONCLUSIONS Drip-and-ship and mothership models can provide optimal and similar results in acute stroke patients in terms of mortality and functional status at 90 days. Their coexistence may alleviate the burden of CSC thus facilitating the access of more stroke patients to advanced therapies in an equitable manner.
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Chiu YC, Yang JL, Wang WC, Huang HY, Chen WL, Yen PS, Tseng YL, Chen HH, Tsai ST. Predictors of unfavorable outcome at 90 days in basilar artery occlusion patients. World J Clin Cases 2022; 10:3677-3685. [PMID: 35647155 PMCID: PMC9100731 DOI: 10.12998/wjcc.v10.i12.3677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/01/2021] [Accepted: 03/16/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In a previous study, basilar artery occlusion (BAO) was shown to lead to death or disability in 80% of the patients. The treatment for BAO patients in the acute stage includes thrombolysis and intra-arterial thrombectomy, but not all patients benefit from these treatments. Thus, understanding the predictors of outcome before initiating these treatments is of special interest.
AIM To determine the predictors related to the 90-d clinical outcome in patients with BAO in an Asian population.
METHODS We performed a retrospective case review of patients admitted to a tertiary stroke center between 2015 and 2019. We used the international classification of diseases-10 criteria to identify cases of posterior circulation stroke. A neurologist reviewed every case, and patients fulfilling the criteria defined in the Basilar Artery International Cooperation Study were included. We then analyzed the patients’ characteristics and factors related to the 90-d outcome.
RESULTS We identified a total of 99 patients as real BAO cases. Of these patients, 33 (33.3%) had a favorable outcome at 90 d (modified Rankin Scale: 0–3). Moreover, 72 patients received intra-arterial thrombectomy, while 13 patients received intravenous tissue-type plasminogen activator treatment. We observed a favorable outcome in 33.3% of the cases and an unfavorable outcome in 66.7% of the cases. We found that the initial National Institutes of Health Stroke Scale (NIHSS) score and several BAO symptoms, including impaired consciousness, tetraparesis, and pupillary abnormalities, were significantly associated with an unfavorable outcome (P < 0.05), while cerebellar symptoms were associated with a favorable outcome (P < 0.05). In the receiver operating characteristic (ROC) analysis, the areas under the ROC curve of initial NIHSS score, impaired consciousness, tetraparesis, cerebellar symptoms, and pupillary abnormalities were 0.836, 0.644, 0.727, 0.614, and 0.614, respectively. Initial NIHSS score showed a higher AUROC (0.836) compared to BAO symptoms.
CONCLUSION The most important predictor of an unfavorable outcome was the initial NIHSS score. BAO symptoms, including tetraparesis, impaired consciousness, and pupillary abnormality were also related to an unfavorable outcome.
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Affiliation(s)
- Yu-Chen Chiu
- Department of Neurology, An Nan Hospital, China Medical University, Tainan 709204, Taiwan
- College of Medicine, China Medical University, Taichung 404332, Taiwan
| | - Jia-Li Yang
- Department of Anesthesiology, China Medical University Hospital, Taichung 404332, Taiwan
| | - Wei-Chun Wang
- College of Medicine, China Medical University, Taichung 404332, Taiwan
- Department of Neurology, China Medical University Hospital, Taichung 404332, Taiwan
| | - Hung-Yu Huang
- College of Medicine, China Medical University, Taichung 404332, Taiwan
- Department of Neurology, China Medical University Hospital, Taichung 404332, Taiwan
| | - Wei-Liang Chen
- Department of Radiology, China Medical University Hospital, Taichung 404332, Taiwan
| | - Pao-Sheng Yen
- Department of Radiology, Kuang Tien General Hospital, Taichung 404332, Taiwan
| | - Ying-Lin Tseng
- Department of Radiology, China Medical University Hospital, Taichung 404332, Taiwan
| | - Hsiu-Hsueh Chen
- Stroke Center, China Medical University Hospital, Taichung 404332, Taiwan
| | - Sheng-Ta Tsai
- College of Medicine, China Medical University, Taichung 404332, Taiwan
- Department of Neurology, China Medical University Hospital, Taichung 404332, Taiwan
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10
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Lyerly MJ, Daggy J, LaPradd M, Martin H, Edwards B, Graham G, Martini S, Anderson J, Williams LS. Impact of Telestroke Implementation on Emergency Department Transfer Rate. Neurology 2022; 98:e1617-e1625. [PMID: 35228338 DOI: 10.1212/wnl.0000000000200143] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/18/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND and Purpose: Telestroke networks are associated with improved outcomes from acute ischemic stroke(AIS) patient and facilitate greater access to care, particularly in underserved regions. These networks also have the potential to influence patient disposition through avoiding unnecessary interhospital transfers. This study examines the impact of implementation of the VA National Telestroke Program (NTSP) on interhospital transfer among Veterans. METHODS We analyzed AIS patients presenting to the emergency department 21 VA hospitals before and after telestroke implementation. Transfer rates were determined through review of administrative data and chart review and patient and facility level characteristics were collected to identify predictors of transfer. Comparisons were made using t-test, Wilcoxon rank sum, and chi-square analysis. Multivariable logistic regression with sensitivity analyses were conducted to assess the influence of telestroke implementation on transfer rates. RESULTS We analyzed 3,488 stroke encounters (1,056 pre-NTSP and 2,432 post-NTSP). Following implementation, we observed an absolute 14.4% decrease in transfers across all levels of stroke center designation. Younger age, higher stroke severity, and shorter duration from symptom onset were associated with transfer. At the facility level, hospitals with lower annual stroke volume were more likely to transfer although only one hospital actually saw an increase in transfer rates following implementation. After adjusting for patient and facility characteristics, the implementation of VA NTSP resulted in a nearly 60% reduction in odds of transfer (OR = 0.39, [0.19, 0.77]). CONCLUSIONS In addition to improving treatment in acute stroke, telestroke networks have the potential to positively impact the efficiency of interhospital networks through disposition optimization and the avoidance of unnecessary transfers.
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Affiliation(s)
- Michael J Lyerly
- Department of Neurology, University of Alabama at Birmingham.,Birmingham VA Medical Center.,VHA National Telestroke Program
| | - Joanne Daggy
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine
| | - Michelle LaPradd
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine
| | - Holly Martin
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine.,Health Services Research and Development (HSR&D) Center for Health Information and Communication, Roudebush VA Medical Center
| | - Brandon Edwards
- Health Services Research and Development (HSR&D) Center for Health Information and Communication, Roudebush VA Medical Center
| | - Glenn Graham
- VHA National Telestroke Program.,Department of Neurology, University of California San Francisco School of Medicine
| | | | | | - Linda S Williams
- Health Services Research and Development (HSR&D) Center for Health Information and Communication, Roudebush VA Medical Center.,Department of Neurology, Indiana University School of Medicine.,Regenstrief Institute, Inc
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11
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Matsoukas S, Giovanni B, Rubinstein L, Majidi S, Stein LK, Fifi JT. Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort. Cerebrovasc Dis Extra 2021; 11:137-144. [PMID: 34823243 PMCID: PMC8740215 DOI: 10.1159/000520078] [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: 06/21/2021] [Accepted: 10/04/2021] [Indexed: 11/19/2022] Open
Abstract
Objective The aim of the study was to model the effect of prehospital triage of emergent large vessel occlusion (ELVO) to endovascular capable center (ECC) on the timing of thrombectomy and intravenous (IV) thrombolysis using real-world data from a multihospital system. Methods We selected a cohort of 77 consecutive stroke patients who were brought by emergency medical services (EMS) to a nonendovascular capable center and then transferred to an ECC for mechanical thrombectomy (MT) (“actual” drip and ship [DS] cohort). We created a hypothetical scenario (bypass model [BM]), modeling transfer of the patients directly to an ECC, based on patients' initial EMS pickup address and closest ECC. Using another cohort of 73 consecutive patients, who were brought directly to an ECC by EMS and underwent endovascular intervention, we calculated mean door-to-needle and door-to-arterial puncture (AP) times (“actual” mothership [MS] cohort). Timings in the actual MS cohort and the actual DS cohort were compared to timings from the BM cohort. Results Median first medical contact (FMC) to IV thrombolysis time was 87.5 min (interquartile range [IQR] = 38) for the DS versus 78.5 min (IQR = 8.96) for the BM cohort, with p = 0.1672. Median FMC to AP was 244 min (IQR = 97) versus 147 min (IQR = 8.96) (p < 0.001), and median FMC to TICI 2B+ time was 299 min (IQR = 108.5) versus 197 min (IQR = 8.96) (p < 0.001) for the DS versus BM cohort, respectively. Conclusions Modeled EMS prehospital triage of ELVO patients' results in shorter MT times without a change in thrombolysis times. As triage tools increase in sensitivity and specificity, EMS triage protocols stand to improve patient outcomes.
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Affiliation(s)
- Stavros Matsoukas
- Department of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA,
| | - Brian Giovanni
- Department of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA
| | - Liorah Rubinstein
- Department of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA
| | - Shahram Majidi
- Department of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA
| | - Laura K Stein
- Department of Neurology, The Mount Sinai Hospital, New York, New York, USA
| | - Johanna T Fifi
- Department of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA.,Department of Neurology, The Mount Sinai Hospital, New York, New York, USA
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12
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Nomani AZ, Kamtchum Tatuene J, Rempel JL, Jeerakathil T, Winship IR, Khan KA, Buck BH, Shuaib A, Jickling GC. Association of CT-Based Hypoperfusion Index With Ischemic Core Enlargement in Patients With Medium and Large Vessel Stroke. Neurology 2021; 97:e2079-e2087. [PMID: 34607925 PMCID: PMC8610618 DOI: 10.1212/wnl.0000000000012855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 09/15/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The rate of infarct core progression in patients with acute ischemic stroke is variable and affects outcome of reperfusion therapy. We evaluated the hypoperfusion index (HI) to estimate the initial rate of core progression in patients with medium vessel occlusion (MeVO) compared to large vessel occlusion (LVO) stroke and within a larger time frame since stroke onset. METHODS Core progression was assessed in 106 patients with acute stroke and CT perfusion. Using reperfusion trial core time criteria, fast progressors had core >70 mL within 6 hours of stroke onset and slow progressors had core ≤70 mL, mismatch ≥15 mL, and mismatch to core ratio ≥1.8 within 6 to 24 hours. The relationship between HI and infarct core progression (core/time) was examined using receiver operating characteristics to determine optimal HI cutoff. The HI cutoff was then tested in the overall cohort, compared between MeVO and LVO, and evaluated in patients up to 24 hours from stroke onset to differentiate fast from slow rate of core progression. HI threshold was assessed in a second independent cohort of 110 patients with acute ischemic stroke. RESULTS In 106 patients with acute stroke, 6.6% were fast progressors, 27.4% were slow progressors, and 66% were not classified as fast or slow progressor by reperfusion trial core time criteria. HI >0.5 was associated with fast progression and able to distinguish fast from slow progressors (area under the curve [AUC] 0.94; 95% confidence interval [CI] 0.80-0.99). In MeVO (n = 26) HI >0.5 had a core progression of 0.30 mL/min compared to 0.03 mL/min for HI ≤0.5 (p < 0.001). In LVO (n = 80), HI >0.5 had a core progression of 0.26 mL/min compared to 0.02 mL/min for HI ≤0.5 (p < 0.001). In patients not classified as fast or slow progressor by reperfusion trial criteria, those with HI >0.5 had progression rate of 0.21 mL/min compared to 0.03 mL/min for those with HI ≤0.5 (p < 0.001). Validation in a second cohort of patients with acute ischemic stroke (n = 110; MeVO = 42, LVO = 68) yielded similar results for HI >0.5 to distinguish fast and slow core progression with an AUC of 0.84 (95% CI 0.72-0.97). DISCUSSION HI can differentiate fast from slow core progression in MeVO and LVO within the first 24 hours of acute ischemic stroke. Consideration of core progression rate at time of stroke evaluation may have implications in the selection of patients with MeVO and LVO stroke for reperfusion therapy that warrant further study.
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Affiliation(s)
- Ali Z Nomani
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada.
| | - Joseph Kamtchum Tatuene
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Jeremy L Rempel
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Thomas Jeerakathil
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Ian R Winship
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Khurshid A Khan
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Brian H Buck
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Ashfaq Shuaib
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
| | - Glen C Jickling
- From the Division of Neurology, Department of Medicine (A.Z.N., T.J., I.W., K.A.K., B.H.B., A.S., G.C.J.), Neuroscience and Mental Health Institute, Department of Medicine and Dentistry (J.K.T.), Department of Radiology (J.L.R.), and Department of Psychiatry (I.W.), University of Alberta, Edmonton; and Red Deer Regional Hospital (A.Z.N.), Canada
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13
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Requena M, Ren Z, Ribo M. Direct Transfer to Angiosuite in Acute Stroke: Why, When, and How? Neurology 2021; 97:S34-S41. [PMID: 34785602 DOI: 10.1212/wnl.0000000000012799] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 05/05/2021] [Indexed: 02/04/2023] Open
Abstract
Time to reperfusion is one of the strongest predictors of functional outcome in acute stroke due to a large vessel occlusion (LVO). Direct transfer to angiography suite (DTAS) protocols have shown encouraging results in reducing in-hospital delays. DTAS allows bypassing of conventional imaging in the emergency room by ruling out an intracranial hemorrhage or a large established infarct with imaging performed before transfer to the thrombectomy-capable center in the angiography suite using flat-panel CT (FP-CT). The rate of patients with stroke code primarily admitted to a comprehensive stroke center with a large ischemic established lesion is <10% within 6 hours from onset and remains <20% among patients with LVO or transferred from a primary stroke center. At the same time, stroke severity is an acceptable predictor of LVO. Therefore, ideal DTAS candidates are patients admitted in the early window with severe symptoms. The main difference between protocols adopted in different centers is the inclusion of FP-CT angiography to confirm an LVO before femoral puncture. While some centers advocate for FP-CT angiography, others favor additional time saving by directly assessing the presence of LVO with an angiogram. The latter, however, leads to unnecessary arterial punctures in patients with no LVO (3%-22% depending on selection criteria). Independently of these different imaging protocols, DTAS has been shown to be effective and safe in improving in-hospital workflow, achieving a reduction of door-to-puncture time as low as 16 minutes without safety concerns. The impact of DTAS on long-term functional outcomes varies between published studies, and randomized controlled trials are warranted to examine the benefit of DTAS.
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Affiliation(s)
- Manuel Requena
- From the Stroke Unit (M.R., M.R.), Neurology Department, Vall D'Hebron University Hospital, Barcelona, Spain; and Department of Neurosurgery (Z.R.), Cleveland Clinic Florida, Weston
| | - Zeguang Ren
- From the Stroke Unit (M.R., M.R.), Neurology Department, Vall D'Hebron University Hospital, Barcelona, Spain; and Department of Neurosurgery (Z.R.), Cleveland Clinic Florida, Weston
| | - Marc Ribo
- From the Stroke Unit (M.R., M.R.), Neurology Department, Vall D'Hebron University Hospital, Barcelona, Spain; and Department of Neurosurgery (Z.R.), Cleveland Clinic Florida, Weston.
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14
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van Meenen LCC, den Hartog SJ, Groot AE, Emmer BJ, Smeekes MD, Siegers A, Kommer GJ, Majoie CBLM, Roos YBWEM, van Es ACGM, Dippel DW, van der Worp HB, Lingsma HF, Roozenbeek B, Coutinho JM. Relationship between primary stroke center volume and time to endovascular thrombectomy in acute ischemic stroke. Eur J Neurol 2021; 28:4031-4038. [PMID: 34528335 PMCID: PMC9292965 DOI: 10.1111/ene.15107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/03/2021] [Accepted: 09/09/2021] [Indexed: 11/29/2022]
Abstract
Background and purpose We investigated whether the annual volume of patients with acute ischemic stroke referred from a primary stroke center (PSC) for endovascular treatment (EVT) is associated with treatment times and functional outcome. Methods We used data from the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN) registry (2014–2017). We included patients with acute ischemic stroke of the anterior circulation who were transferred from a PSC to a comprehensive stroke center (CSC) for EVT. We examined the association between EVT referral volume of PSCs and treatment times and functional outcome using multivariable regression modeling. The main outcomes were time from arrival at the PSC to groin puncture (PSC‐door‐to‐groin time), adjusted for estimated ambulance travel times, time from arrival at the CSC to groin puncture (CSC‐door‐to‐groin time), and modified Rankin Scale (mRS) score at 90 days after stroke. Results Of the 3637 patients in the registry, 1541 patients (42%) from 65 PSCs were included. Mean age was 71 years (SD ± 13.3), median National Institutes of Health Stroke Scale score was 16 (interquartile range [IQR]: 12–19), and median time from stroke onset to arrival at the PSC was 53 min (IQR: 38–90). Eighty‐three percent had received intravenous thrombolysis. EVT referral volume was not associated with PSC‐door‐to‐groin time (adjusted coefficient: −0.49 min/annual referral, 95% confidence interval [CI]: −1.27 to 0.29), CSC‐door‐to‐groin time (adjusted coefficient: −0.34 min/annual referral, 95% CI: −0.69 to 0.01) or 90‐day mRS score (adjusted common odds ratio: 0.99, 95% CI: 0.96–1.01). Conclusions In patients transferred from a PSC for EVT, higher PSC volumes do not seem to translate into better workflow metrics or patient outcome.
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Affiliation(s)
- Laura C C van Meenen
- Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Sanne J den Hartog
- Department of Neurology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands.,Department of Public Health, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Adrien E Groot
- Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Martin D Smeekes
- Emergency Medical Services North-Holland North, Alkmaar, the Netherlands
| | | | - Geert Jan Kommer
- Center for Nutrition, Prevention, and Health Services, National Institute of Public Health and the Environment, Bilthoven, the Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Adriaan C G M van Es
- Department of Radiology and Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Diederik W Dippel
- Department of Neurology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Bob Roozenbeek
- Department of Neurology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
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15
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To support safe provision of mechanical thrombectomy services for patients with acute ischaemic stroke: 2021 consensus guidance from BASP, BSNR, ICSWP, NACCS, and UKNG. Clin Radiol 2021; 76:862.e1-862.e17. [PMID: 34482987 DOI: 10.1016/j.crad.2021.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/05/2021] [Indexed: 01/01/2023]
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16
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Guisado-Alonso D, Martínez-Domeño A, Prats-Sánchez L, Delgado-Mederos R, Camps-Renom P, Abilleira S, de la Ossa NP, Ramos-Pachón A, Cardona P, Rodríguez-Campello A, Molina CA, Rudilosso S, Martí-Fàbregas J. Reasons for Not Performing Mechanical Thrombectomy: A Population-Based Study of Stroke Codes. Stroke 2021; 52:2746-2753. [PMID: 34289711 DOI: 10.1161/strokeaha.120.032648] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Daniel Guisado-Alonso
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona (Department of Medicine), Spain (D.G.-A., A.M.-D., L.P.-S., R.D.-M., P.C.-R., J.M.-F.)
| | - Alejandro Martínez-Domeño
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona (Department of Medicine), Spain (D.G.-A., A.M.-D., L.P.-S., R.D.-M., P.C.-R., J.M.-F.)
| | - Luis Prats-Sánchez
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona (Department of Medicine), Spain (D.G.-A., A.M.-D., L.P.-S., R.D.-M., P.C.-R., J.M.-F.)
| | - Raquel Delgado-Mederos
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona (Department of Medicine), Spain (D.G.-A., A.M.-D., L.P.-S., R.D.-M., P.C.-R., J.M.-F.)
| | - Pol Camps-Renom
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona (Department of Medicine), Spain (D.G.-A., A.M.-D., L.P.-S., R.D.-M., P.C.-R., J.M.-F.)
| | - Sònia Abilleira
- Stroke Programme, Agency for Health Quality and Assessment of Catalonia, Barcelona, Spain (S.A., N.P.d.l.O.)
| | - Natalia Pérez de la Ossa
- Stroke Programme, Agency for Health Quality and Assessment of Catalonia, Barcelona, Spain (S.A., N.P.d.l.O.)
| | - Anna Ramos-Pachón
- Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, Badalona, Spain (A.R.-P)
| | - Pere Cardona
- Department of Neurology, Hospital de Bellvitge, Hospitalet de Llobregat, Spain (P.C.)
| | | | - Carlos A Molina
- Department of Neurology, Hospital Vall d'Hebrón, Barcelona, Spain (C.A.M.)
| | | | - Joan Martí-Fàbregas
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona (Department of Medicine), Spain (D.G.-A., A.M.-D., L.P.-S., R.D.-M., P.C.-R., J.M.-F.)
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17
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Holder D, Leeseberg K, Giles JA, Lee JM, Namazie S, Ford AL. Central Triage of Acute Stroke Patients Across a Distributive Stroke Network Is Safe and Reduces Transfer Denials. Stroke 2021; 52:2671-2675. [PMID: 34154389 DOI: 10.1161/strokeaha.120.033018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Derek Holder
- Department of Neurology (D.H., J.A.G., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Kevin Leeseberg
- Center for Clinical Excellence, BJC Healthcare, St. Louis, MO (K.L., S.N.)
| | - James A Giles
- Department of Neurology (D.H., J.A.G., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology (D.H., J.A.G., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology (J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO.,Department of Biomedical Engineering, Washington University, St. Louis, MO (J.-M.L.)
| | - Sheyda Namazie
- Center for Clinical Excellence, BJC Healthcare, St. Louis, MO (K.L., S.N.)
| | - Andria L Ford
- Department of Neurology (D.H., J.A.G., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology (J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
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18
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Tsai ST, Wang WC, Lin YT, Huang WS, Huang HY, Wang CJ, Lin EZ, Kung WL, Guo YC, Lin KH, Lu MK, Yen PS, Chen WL, Tseng YL, Kuo CC, Cho DY, Chen CC, Tsai CH. Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy. Front Neurol 2021; 12:606673. [PMID: 34135840 PMCID: PMC8200537 DOI: 10.3389/fneur.2021.606673] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 04/07/2021] [Indexed: 01/25/2023] Open
Abstract
Background: In most countries, large cerebral artery occlusion is identified as the leading cause of disability. In 2015, five large-scale clinical trials confirmed the benefit of intra-arterial thrombectomy. However, thrombectomy is a highly technical and facility-dependent procedure. Primary stroke centers need to transfer patients to comprehensive stroke centers to perform thrombectomy. The time-lapse during interhospital transfer would decrease the chance of the patient's proper recovery. Communication barriers also contribute to this delay. Aims: We used a smartphone application to overcome communication barriers between hospitals. We aimed to shorten the door-to-puncture time of interhospital transfer patients. Methods: We began using a smartphone application, “LINE,” to facilitate interhospital communication on May 01, 2018. We carried out retrospective data analyses for all the transfer patients (n = 351), with the primary outcome being the door-to-puncture time in our comprehensive stroke center (China Medical University Hospital). We compared the three periods: May 01 to Dec 31, 2017 (before the use of the smartphone application); May 01 to Dec 31, 2018 (the 1st year of using the smartphone application); and May 01 to Dec 31, 2019 (the 2nd year of using the smartphone application). We also compared the transfer data with non-transfer thrombectomies in the same period. Results: We compared 2017, 2018, and 2019 data. The total number of transfer patients increased over the years: 63, 113, 175, respectively. The mean door-to-puncture time decreased significantly, going from 109, through 102, to 92 min. Meanwhile, the mean door-to-puncture time in non-transfer patients were 140.3, 122.1, and 129.3 min. The main reason of time saving was the change of the way of communication, from point-to-point interhospital communication to hub-to-spoke interhospital communication. Conclusions: We used this smartphone application to enhance interhospital communication, changed from the point-to-point to hub-to-spoke method. It made us overcome the communication barrier and build up interhospital connection, thus shortening the door-to-puncture time. Our experience demonstrated the importance of close communication and teamwork in hyperacute stroke care, especially in interhospital transfer for thrombectomy.
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Affiliation(s)
- Sheng-Ta Tsai
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Wei-Chun Wang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Yu-Ting Lin
- Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.,Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Wei-Shih Huang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Hung-Yu Huang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan
| | - Chun-Ju Wang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan
| | - En-Zu Lin
- Stroke Center, China Medical University Hospital, Taichung, Taiwan
| | - Wei-Ling Kung
- Department of Neurology, China Medical University Hsinchu Hospital, Hsinchu, Taiwan
| | - Yuh-Cherng Guo
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Kang-Hsu Lin
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Ming-Kuei Lu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan.,Everflourish Neuroscience and Brain Disease Center, China Medical University Hospital, Taichung, Taiwan
| | - Pao-Sheng Yen
- Department of Radiology, Kuang Tien General Hospital, Taichung, Taiwan
| | - Wei-Laing Chen
- Department of Radiology, China Medical University Hospital, Taichung, Taiwan
| | - Ying-Lin Tseng
- Department of Radiology, China Medical University Hospital, Taichung, Taiwan
| | - Chin-Chi Kuo
- College of Medicine, China Medical University, Taichung, Taiwan.,Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.,Division of Nephrology, Department of Internal Medicine, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Der-Yang Cho
- Stroke Center, China Medical University Hospital, Taichung, Taiwan.,Department of Neurosurgery, China Medical University Hospital, Taichung, Taiwan
| | - Chun-Chung Chen
- Stroke Center, China Medical University Hospital, Taichung, Taiwan.,Department of Neurosurgery, China Medical University Hospital, Taichung, Taiwan
| | - Chon-Haw Tsai
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan.,Everflourish Neuroscience and Brain Disease Center, China Medical University Hospital, Taichung, Taiwan
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19
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Arrarte Terreros N, Bruggeman AAE, Swijnenburg ISJ, van Meenen LCC, Groot AE, Coutinho JM, Roos YBWEM, Emmer BJ, Beenen LFM, van Bavel E, Marquering HA, Majoie CBLM. Early recanalization in large-vessel occlusion stroke patients transferred for endovascular treatment. J Neurointerv Surg 2021; 14:neurintsurg-2021-017441. [PMID: 33986112 PMCID: PMC9016237 DOI: 10.1136/neurintsurg-2021-017441] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/24/2021] [Accepted: 04/29/2021] [Indexed: 11/25/2022]
Abstract
Background We performed an exploratory analysis to identify patient and thrombus characteristics associated with early recanalization in large-vessel occlusion (LVO) stroke patients transferred for endovascular treatment (EVT) from a primary (PSC) to a comprehensive stroke center (CSC). Methods We included patients with an LVO stroke of the anterior circulation who were transferred to our hospital for EVT and underwent repeated imaging between January 2016 and June 2019. We compared patient characteristics, workflow time metrics, functional outcome (modified Rankin Scale at 90 days), and baseline thrombus imaging characteristics, which included: occlusion location, thrombus length, attenuation, perviousness, distance from terminus of intracranial carotid artery to the thrombus (DT), and clot burden score (CBS), between early-recanalized LVO (ER-LVO), and non-early-recanalized LVO (NER-LVO) patients. Results One hundred and forty-nine patients were included in the analysis. Early recanalization occurred in 32% of patients. ER-LVO patients less often had a medical history of hypertension (31% vs 49%, P=0.04), and more often had clinical improvement between PSC and CSC (ΔNIHSS −5 vs 3, P<0.01), compared with NER-LVO patients. Thrombolysis administration was similar in both groups (88% vs 78%, P=0.18). ER-LVO patients had no ICA occlusions (0% vs 27%, P<0.01), more often an M2 occlusion (35% vs 17%, P=0.01), longer DT (27 mm vs 12 mm, P<0.01), shorter thrombi (17 mm vs 27 mm, P<0.01), and higher CBS (8 vs 6, P<0.01) at baseline imaging. ER-LVO patients had lower mRS scores (1 vs 3, P=0.02). Conclusions Early recanalization is associated with clinical improvement between PSC and CSC admission, more distal occlusions and shorter thrombi at baseline imaging, and better functional outcome.
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Affiliation(s)
- Nerea Arrarte Terreros
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location AMC, Amsterdam, the Netherlands .,Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Agnetha A E Bruggeman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Isabella S J Swijnenburg
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location AMC, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Laura C C van Meenen
- Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Adrien E Groot
- Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Ludo F M Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Ed van Bavel
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Henk A Marquering
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location AMC, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
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20
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Kollikowski AM, Cattus F, Haag J, Feick J, März AG, Weidner F, Schuhmann MK, Müllges W, Stoll G, Pham M, Strinitz M. Progression of cerebral infarction before and after thrombectomy is modified by prehospital pathways. J Neurointerv Surg 2021; 14:neurintsurg-2020-017155. [PMID: 33986107 PMCID: PMC9016250 DOI: 10.1136/neurintsurg-2020-017155] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 04/19/2021] [Accepted: 04/25/2021] [Indexed: 11/23/2022]
Abstract
Background Evidence of the consequences of different prehospital pathways before mechanical thrombectomy (MT) in large vessel occlusion stroke is inconclusive. The aim of this study was to investigate the infarct extent and progression before and after MT in directly admitted (mothership) versus transferred (drip and ship) patients using the Alberta Stroke Program Early CT Score (ASPECTS). Methods ASPECTS of 535 consecutive large vessel occlusion stroke patients eligible for MT between 2015 to 2019 were retrospectively analyzed for differences in the extent of baseline, post-referral, and post-recanalization infarction between the mothership and drip and ship pathways. Time intervals and transport distances of both pathways were analyzed. Multiple linear regression was used to examine the association between infarct progression (baseline to post-recanalization ASPECTS decline), patient characteristics, and logistic key figures. Results ASPECTS declined during transfer (9 (8–10) vs 7 (6-9), p<0.0001), resulting in lower ASPECTS at stroke center presentation (mothership 9 (7–10) vs drip and ship 7 (6–9), p<0.0001) and on follow-up imaging (mothership 7 (4–8) vs drip and ship 6 (3–7), p=0.001) compared with mothership patients. Infarct progression was significantly higher in transferred patients (points lost, mothership 2 (0–3) vs drip and ship 3 (2–6), p<0.0001). After multivariable adjustment, only interfacility transfer, preinterventional clinical stroke severity, the degree of angiographic recanalization, and the duration of the thrombectomy procedure remained predictors of infarct progression (R2=0.209, p<0.0001). Conclusions Infarct progression and postinterventional infarct extent, as assessed by ASPECTS, varied between the drip and ship and mothership pathway, leading to more pronounced infarction in transferred patients. ASPECTS may serve as a radiological measure to monitor the benefit or harm of different prehospital pathways for MT.
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Affiliation(s)
- Alexander M Kollikowski
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Franziska Cattus
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Julia Haag
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Jörn Feick
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Alexander G März
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Franziska Weidner
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Michael K Schuhmann
- Neurologische Klinik und Poliklinik, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Wolfgang Müllges
- Neurologische Klinik und Poliklinik, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Guido Stoll
- Neurologische Klinik und Poliklinik, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Mirko Pham
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
| | - Marc Strinitz
- Institut für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Würzburg, Würzburg, Bayern, Germany
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21
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Hubert GJ, Kraus F, Maegerlein C, Platen S, Friedrich B, Kain HU, Witton-Davies T, Hubert ND, Zimmer C, Bath PM, Audebert HJ, Haberl RL. The "Flying Intervention Team": A Novel Stroke Care Concept for Rural Areas. Cerebrovasc Dis 2021; 50:375-382. [PMID: 33849042 DOI: 10.1159/000514845] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/02/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Endovascular treatment of large vessel occlusion in acute ischemic stroke patients is difficult to establish in remote areas, and time dependency of treatment effect increases the urge to develop health care concepts for this population. SUMMARY Current strategies include direct transportation of patients to a comprehensive stroke center (CSC) ("mothership model") or transportation to the nearest primary stroke center (PSC) and secondary transfer to the CSC ("drip-and-ship model"). Both have disadvantages. We propose the model "flying intervention team." Patients will be transported to the nearest PSC; if telemedically identified as eligible for thrombectomy, an intervention team will be acutely transported via helicopter to the PSC and endovascular treatment will be performed on site. Patients stay at the PSC for further stroke unit care. This model was implemented at a telestroke network in Germany. Fifteen remote hospitals participated in the project, covering 14,000 km2 and a population of 2 million. All have well established telemedically supported stroke units, an angiography suite, and a helicopter pad. Processes were defined individually for each hospital and training sessions were implemented for all stroke teams. An exclusive project helicopter was installed to be available from 8 a.m. to 10 p.m. during 26 weeks per year. Key Messages: The model of the flying intervention team is likely to reduce time delays since processes will be performed in parallel, rather than consecutively, and since it is quicker to move a medical team rather than a patient. This project is currently under evaluation (clinicaltrials NCT04270513).
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Affiliation(s)
- Gordian Jan Hubert
- Department of Neurology, TEMPiS Telemedical Stroke Center, München Klinik Harlaching, Academic Teaching Hospital of the University of Munich, Munich, Germany
| | - Frank Kraus
- Department of Neurology, TEMPiS Telemedical Stroke Center, München Klinik Harlaching, Academic Teaching Hospital of the University of Munich, Munich, Germany
| | - Christian Maegerlein
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Sabine Platen
- Department of Neurology, TEMPiS Telemedical Stroke Center, University of Regensburg, Bezirksklinikum Regensburg, Regensburg, Germany
| | - Benjamin Friedrich
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | | | - Thomas Witton-Davies
- Department of Diagnostic and Interventional Radiology and Neuroradiology, München Klinik Harlaching, Munich, Germany
| | - Nikolai Dominik Hubert
- Department of Neurology, TEMPiS Telemedical Stroke Center, München Klinik Harlaching, Academic Teaching Hospital of the University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Philip M Bath
- Division of Clinical Neuroscience, Stroke Trials Unit, University of Nottingham, Nottingham, United Kingdom
| | - Heinrich J Audebert
- Center for Stroke Research Berlin, Charite-Universitätsmedizin Berlin, Berlin, Germany.,Department of Neurology, Charite-Universitätsmedizin Berlin, Berlin, Germany
| | - Roman L Haberl
- Department of Neurology, TEMPiS Telemedical Stroke Center, München Klinik Harlaching, Academic Teaching Hospital of the University of Munich, Munich, Germany
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22
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van Meenen LCC, Arrarte Terreros N, Groot AE, Kappelhof M, Beenen LFM, Marquering HA, Emmer BJ, Roos YBWEM, Majoie CBLM, Coutinho JM. Value of repeated imaging in patients with a stroke who are transferred for endovascular treatment. J Neurointerv Surg 2021; 14:neurintsurg-2020-017050. [PMID: 33685983 PMCID: PMC8784993 DOI: 10.1136/neurintsurg-2020-017050] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 11/30/2022]
Abstract
Background Patients with a stroke who are transferred to a comprehensive stroke center for endovascular treatment (EVT) often undergo repeated neuroimaging prior to EVT. Objective To evaluate the yield of repeating imaging and its effect on treatment times. Methods We included adult patients with a large vessel occlusion (LVO) stroke who were referred to our hospital for EVT by primary stroke centers (2016–2019). We excluded patients who underwent repeated imaging because primary imaging was unavailable, incomplete, or of insufficient quality. Outcomes included treatment times and repeated imaging findings. Results Of 677 transferred LVO stroke, 551 were included. Imaging was repeated in 165/551 patients (30%), mostly because of clinical improvement (86/165 (52%)) or deterioration (40/165 (24%)). Patients who underwent repeated imaging had higher door-to-groin-times than patients without repeated imaging (median 43 vs 27 min, adjusted time difference: 20 min, 95% CI 15 to 25). Among patients who underwent repeated imaging because of clinical improvement, the LVO had resolved in 50/86 (58%). In patients with clinical deterioration, repeated imaging led to refrainment from EVT in 3/40 (8%). No symptomatic intracranial hemorrhages (sICH) were identified. Ultimately, 75/165 (45%) of patients with repeated imaging underwent EVT compared with 326/386 (84%) of patients without repeated imaging (p<0.01). Conclusions Neuroimaging was repeated in 30% of patients with an LVO stroke and resulted in a median treatment delay of 20 minutes. In patients with clinical deterioration, no sICH were detected and repeated imaging rarely changed the indication for EVT. However, in more than half of patients with clinical improvement, the LVO had resolved, resulting in refrainment from EVT.
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Affiliation(s)
- Laura C C van Meenen
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Nerea Arrarte Terreros
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Adrien E Groot
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Manon Kappelhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Ludo F M Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Henk A Marquering
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, North Holland, The Netherlands
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23
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Shigeta K, Ota T, Kaneko J, Sato K, Aoki R, Jimbo H, Sato Y, Kuroshima Y, Shiokawa Y, Hirano T. Negative impact of Interhospital Transfer on Clinical Outcomes of Mechanical Thrombectomy for Fast Progressive Stroke. J Stroke Cerebrovasc Dis 2021; 30:105633. [PMID: 33517031 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/04/2020] [Accepted: 01/16/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES The time-dependence of the clinical outcome of mechanical thrombectomy is higher in the "fast progressor" in whom cerebral ischemia progresses rapidly. The impact of time-consuming interhospital transfer (IT) on the clinical outcome of such patients is unknown. The effect on clinical outcomes of IT of fast progressors was investigated. METHODS Among the patients enrolled in the Tokyo/Tama REgistry of Acute endovascular Thrombectomy, fast progressor cerebral ischemia cases were retrospectively investigated. In this study, a fast progressor was defined as a case with an Alberta Stroke Program Early CT Score less than 6 and last known well (LKW) to arterial puncture within 6 h. Patients' background characteristics, treatment progress, and the modified Rankin Scale (mRS) score at 3 months were examined. RESULTS Of a total of 1182 patients, 92 (7.8%) were included, with 76 patients in the direct transfer (DT) group, and 16 patients in the IT group. Median LKW to reperfusion was 190 min and 272 min, respectively (P<.001). The number of patients with mRS scores 0-2 at three months was 22 (28.9%) in the DT group and 1 (6.2%) in the IT group. Interhospital transfer was an independent factor associated with worse outcomes (odds ratio 0.08, 95% confidence interval 0.01-0.87, P=.038). CONCLUSION This study showed that, among fast progressor patients, the IT group had a worse prognosis than the DT group. To provide good clinical outcomes for fast progressor patients, those who are likely to undergo mechanical thrombectomy should be sent directly to a thrombectomy-capable center.
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Affiliation(s)
- Keigo Shigeta
- Department of Neurosurgery, National Hospital Organization Disaster Medical Center, 3256, Midorhicho, Tachikawa, Tokyo 190-0014, Japan.
| | - Takahiro Ota
- Department of Neurosurgery, Tokyo Metropolitan Tama Medical Center, 2-8-29, Musashidai, Fuchu, Tokyo 183-8524, Japan.
| | - Junya Kaneko
- Department of Emergency and Critical Care Medicine, Nippon Medical School Tama Nagayama Hospital, 1-7-1 Nagayama, Tama, Tokyo 206-8512, Japan
| | - Katsuya Sato
- Department of Neurosurgery, Showa General Hospital, 8-1-1 Hanakoganei, Kodaira, Tokyo 187-8510, Japan.
| | - Rie Aoki
- Department of Neurosurgery, Tokai University Hachioji Hospital, 1838 Ishikawamachi, Hachioji, Tokyo 192-0032, Japan.
| | - Hiroyuki Jimbo
- Department of Neurosurgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi, Hachioji, Tokyo 193-0998, Japan.
| | - Yohei Sato
- Department of Neurosurgery, Japanese Red Cross Musashino Hospital, 1-26-1 Kyonancho, Musashino, Tokyo 180-8610, Japan.
| | - Yoshiaki Kuroshima
- Department of Neurosurgery, Hino Municipal Hospital, 4-3-1 Tamadaira, Hino, Tokyo 191-0062, Japan
| | - Yoshiaki Shiokawa
- Department of Neurosurgery, Kyorin University, 6-20-2, Shinkawa, Mitaka, Tokyo 181-8611, Japan.
| | - Teruyuki Hirano
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka, Tokyo 181-8611, Japan.
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24
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Kircher C, Humphries A, Kleindorfer D, Alwell K, Sucharew H, Moomaw CJ, Mackey J, De Los Rios La Rosa F, Kissela B, Adeoye O. Can non-contrast head CT and stroke severity be used for stroke triage? A population-based study. Am J Emerg Med 2020; 38:2650-2652. [PMID: 33041149 DOI: 10.1016/j.ajem.2020.08.022] [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: 01/08/2020] [Revised: 07/19/2020] [Accepted: 08/07/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND AND PURPOSE Acute ischemic stroke (AIS) patients may benefit from endovascular thrombectomy (EVT) up to 24 h since last known normal (LKN). Advanced imaging is required for patient selection. Small or rural hospitals may not have sufficient CT technician and radiology support to rapidly acquire and interpret images. We estimated transfer rates using non-contrast head CT and stroke severity to select patients to be transferred to larger centers for evaluation. METHODS We identified all AIS among residents of the study region in 2010. Only cases age ≥ 18 with baseline mRS 0-2 that presented to an ED were included. Among cases that presented between 6 and 24 h from LKN, those without evidence of acute infarct on head CT and with initial NIHSS ≥6 or ≥ 10 were identified. RESULTS Of 1359 AIS cases, 448 (33.0%) presented between 6 and 24 h, of which 383 (85.5%) showed no evidence of acute infarct on CT. Of cases with no acute infarct on CT, 89/383 (23.2%) had NIHSS ≥6, of which 66 (74.2%) initially presented to a hospital without thrombectomy capabilities; and 51/383 (13.3%) had NIHSS ≥10, of which 40 (78.4%) presented to a non-thrombectomy hospital. CONCLUSIONS In our population, 40-66 AIS patients annually (0.8-1.3/week, or 3-5 patients/100,000 persons/year) may present to non-thrombectomy hospitals and need to be transferred using non-contrast CT and stroke severity as screening tools. Such an approach may sufficiently mitigate the impact of delays in treatment on outcomes, without overburdening the referring nor accepting hospitals.
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Affiliation(s)
- Charles Kircher
- University of Cincinnati (UC) Gardner Neuroscience Institute, Division of Neurocritical Care, Cincinnati OH, United States of America; UC Department of Emergency Medicine, 231 Albert Sabin Way, MSB 1654, Cincinnati, OH 45229, United States of America.
| | - Amanda Humphries
- University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM, United States of America
| | - Dawn Kleindorfer
- University of Michigan Department of Neurology, Ann Arbor, MI, United States of America
| | - Kathleen Alwell
- UC Gardner Neuroscience Institute, Department of Neurology and Rehabilitation Medicine, United States of America
| | - Heidi Sucharew
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave MLC 5041, Cincinnati, OH 45229-3039, United States of America; Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States of America
| | - Charles J Moomaw
- UC Gardner Neuroscience Institute, Department of Neurology and Rehabilitation Medicine, United States of America
| | - Jason Mackey
- Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Felipe De Los Rios La Rosa
- UC Gardner Neuroscience Institute, Department of Neurology and Rehabilitation Medicine, United States of America; Baptist Health Neuroscience Center, Miami, FL, United States of America
| | - Brett Kissela
- UC Gardner Neuroscience Institute, Department of Neurology and Rehabilitation Medicine, United States of America
| | - Opeolu Adeoye
- University of Cincinnati (UC) Gardner Neuroscience Institute, Division of Neurocritical Care, Cincinnati OH, United States of America; UC Department of Emergency Medicine, 231 Albert Sabin Way, MSB 1654, Cincinnati, OH 45229, United States of America
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25
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Onteddu SR, Veerapaneni P, Nalleballe K, Elkhider H, Yadala S, Veerapaneni K, Wissler D, Sheng S, Skinner RD, Culp WC, Brown A. Stroke transfers for thrombectomy in the era of extended time. Clin Neurol Neurosurg 2020; 200:106371. [PMID: 33307326 DOI: 10.1016/j.clineuro.2020.106371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/10/2020] [Accepted: 11/11/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND PURPOSE The Dawn and Extend Intra-Arterial (IA) acute stroke intervention trials have proven the benefit of thrombectomy in a select group of patients up to 24 h since their last known well time (LKWT) or time of symptom onset. Following the issuance of new treatment guidelines for large vessel occlusion strokes, we reviewed the paradigm shift effect on transfers for possible thrombectomy in a rural state. HYPOTHESIS Extended time window for thrombectomy increases the need for better identification of potential transfers for thrombectomy in rural states with few hospitals capable of 24/7 interventional thrombectomy. METHODS We analyzed all transfers to a comprehensive stroke center (CSC) from January to December 2018 which were specifically transferred for possible further intervention. This time period was selected in accordance with the change in American Heart Association (AHA) guidelines for extended time windows in mechanical thrombectomy (MT) care. RESULTS A total of 132 patients were transferred for possible thrombectomy and advanced imaging. Thirty-four % patients underwent diagnostic angiogram with 33% patients having successful MT. Of the excluded patients 19% had large core infarcts by the time they arrived at hub hospital, 1.5% had hemorrhagic conversion, 32% had stroke without treatable occlusion not amenable for thrombectomy or cortical strokes on follow-up imaging, and 13.5% did not have stroke or LVO on follow-up imaging. CONCLUSION Since the AHA's change in time window guidelines for mechanical thrombectomies, there has been an increased effort in identifying good candidates with computerized tomography angiography (CTA). To avoid undue burden on stroke systems of care, CTA identification of these patients at the spoke hospitals is key along with timely transport to appropriate thrombectomy capable sites. Given the rural nature of this state along with limited resources, selection of patients is a practical issue, especially for avoiding futile transfers, which might be true for large areas of the USA.
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Affiliation(s)
- Sanjeeva Reddy Onteddu
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Poornachand Veerapaneni
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Krishna Nalleballe
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Hisham Elkhider
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Sisira Yadala
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Karthika Veerapaneni
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Deonna Wissler
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Sen Sheng
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Robert D Skinner
- Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - William C Culp
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
| | - Aliza Brown
- Department of Neurology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States.
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Sheth SA, Wu TC, Sharrief A, Ankrom C, Grotta JC, Fisher M, Savitz SI. Early Lessons From World War COVID Reinventing Our Stroke Systems of Care. Stroke 2020; 51:2268-2272. [PMID: 32421392 PMCID: PMC7258749 DOI: 10.1161/strokeaha.120.030154] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 04/22/2020] [Accepted: 05/01/2020] [Indexed: 11/17/2022]
Affiliation(s)
- Sunil A. Sheth
- From the UTHealth Department of Neurology, McGovern Medical School and Institute for Stroke and Cerebrovascular Disease, Houston, TX (S.A.S., T.C.W., A.S., C.A., S.I.S.)
| | - Tzu-Ching Wu
- From the UTHealth Department of Neurology, McGovern Medical School and Institute for Stroke and Cerebrovascular Disease, Houston, TX (S.A.S., T.C.W., A.S., C.A., S.I.S.)
| | - Anjail Sharrief
- From the UTHealth Department of Neurology, McGovern Medical School and Institute for Stroke and Cerebrovascular Disease, Houston, TX (S.A.S., T.C.W., A.S., C.A., S.I.S.)
| | - Christy Ankrom
- From the UTHealth Department of Neurology, McGovern Medical School and Institute for Stroke and Cerebrovascular Disease, Houston, TX (S.A.S., T.C.W., A.S., C.A., S.I.S.)
| | - James C. Grotta
- Mobile Stroke Unit, Memorial Hermann Hospital, Houston, TX (J.C.G.)
| | - Marc Fisher
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (M.F.)
| | - Sean I. Savitz
- From the UTHealth Department of Neurology, McGovern Medical School and Institute for Stroke and Cerebrovascular Disease, Houston, TX (S.A.S., T.C.W., A.S., C.A., S.I.S.)
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Delayed Thrombectomy Center Arrival is Associated with Decreased Treatment Probability. Can J Neurol Sci 2020; 47:770-774. [PMID: 32418553 DOI: 10.1017/cjn.2020.95] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Endovascular thrombectomy (EVT) is effective in reducing disability in selected patients with stroke and large vessel occlusion (LVO), but access to this treatment is suboptimal. AIM We examined the proportion of patients with LVO who did not receive EVT, the reasons for non-treatment, and the association between time from onset and probability of treatment. METHODS We conducted a retrospective cohort study of consecutive patients with acute stroke and LVO presenting between January 2017 and June 2018. We used multivariable log-binomial models to determine the association between time and probability of treatment with and without adjustment for age, sex, dementia, active cancer, baseline disability, stroke severity, and evidence of ischemia on computerized tomography. RESULTS We identified 256 patients (51% female, median age 74 [interquartile range, IQR 63.5, 82.5]), of whom 59% did not receive EVT. The main reasons for not treating with EVT were related to occlusion characteristics or infarct size. The median time from onset to EVT center arrival was longer among non-treated patients (218 minutes [142, 302]) than those who were treated (180 minutes [104, 265], p = 0.03). Among patients presenting within 6 hours of onset, the relative risk (RR) of receiving EVT decreased by 3% with every 10-minute delay in arrival to EVT center (adjusted RR 0.97 CI95 [0.95, 0.99]). This association was not found in the overall cohort. CONCLUSIONS The proportion of patients with acute stroke and confirmed LVO who do not undergo EVT is substantial. Minimizing delays in arrival to EVT center may optimize the delivery of this treatment.
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Mueller-Kronast N, Froehler MT, Jahan R, Zaidat O, Liebeskind D, Saver JL. Impact of EMS bypass to endovascular capable hospitals: geospatial modeling analysis of the US STRATIS registry. J Neurointerv Surg 2020; 12:1058-1063. [PMID: 32385089 PMCID: PMC7569363 DOI: 10.1136/neurintsurg-2019-015593] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 01/30/2020] [Accepted: 02/05/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Routing patients directly to endovascular capable centers (ECCs) would decrease time to mechanical thrombectomy (MT), but may delay intravenous thrombolysis (IVT). OBJECTIVE To study the clinical outcomes of patients with a stroke transferred directly to ECCs compared with those transferred to ECCs from non-endovascular capable centers (nECCs). METHODS Data from the STRATIS registry were analyzed to evaluate process and clinical outcomes under five routing policies: (1) transport to nearest nECC; (2) transport to STRATIS ECC over any distance or (3) within 20 miles; (4) transport to ideal ECC (iECC), over any distance or (5) within 20 miles. RESULTS Among 236 patients, 117 (49.6%) were transferred by ground, of whom 62 (53%) were transferred within 20 miles. Median MT start time was accelerated in all direct transport models. IVT start was prolonged with direct transport across all distances, but accelerated with direct transport to iECC ≤20 miles. With bypass limited to ≤20 miles, the median modeled EMS arrival to IVT interval decreased for both iECCs and ECCs (by 12 min and 6 min, respectively), and median EMS arrival to puncture time decreased by up to 94 min. In this cohort, no patient would have become ineligible for IVT. Bypass to iECC modeling under 20 miles showed a significant reduction in the level of disability at 3 months, with freedom from disability (modified Rankin Scale score 0-1) at 3 months increased by 12%. CONCLUSIONS Direct routing of patients with a large vessel occlusion to ECCs, especially when within 20 miles, may lead to better clinical outcomes by accelerating the start of MT without any delay of IVT. CLINICAL TRIAL REGISTRATION NUMBER http://www.clinicaltrials.gov. Unique identifier: NCT02239640.
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Affiliation(s)
| | - Michael T Froehler
- Cerebrovascular Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Reza Jahan
- Department of Radiology, University of California Los Angeles, Los Angeles, California, USA
| | | | - David Liebeskind
- Neurovascular Imaging Core and UCLA Stroke Center, Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
| | - Jeffrey L Saver
- Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
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Safety of inter-hospital transfer of patients with acute ischemic stroke for evaluation of endovascular thrombectomy. Sci Rep 2020; 10:5655. [PMID: 32221353 PMCID: PMC7101346 DOI: 10.1038/s41598-020-62528-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/15/2020] [Indexed: 11/09/2022] Open
Abstract
Stroke networks facilitate access to endovascular treatment (EVT) for patients with ischemic stroke due to large vessel occlusion. In this study we aimed to determine the safety of inter-hospital transfer and included all patients with acute ischemic stroke who were transferred within our stroke network for evaluation of EVT between 06/2016 and 12/2018. Data were derived from our prospective EVT database and transfer protocols. We analyzed major complications and medical interventions associated with inter-hospital transfer. Among 615 transferred patients, 377 patients (61.3%) were transferred within our telestroke network and had transfer protocols available (median age 76 years [interquartile range, IQR 17], 190 [50.4%] male, median baseline NIHSS score 17 [IQR 8], 246 [65.3%] drip-and-ship i.v.-thrombolysis). No patient suffered from cardio-respiratory failure or required emergency intubation or cardiopulmonary resuscitation during the transfer. Among 343 patients who were not intubated prior departure, 35 patients (10.2%) required medical interventions during the transfer. The performance of medical interventions was associated with a lower EVT rate and higher mortality at three months. In conclusion, the transfer of acute stroke patients for evaluation of EVT was not associated with major complications and transfer-related medical interventions were required in a minority of patients.
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Reimer AP, Zafar A, Hustey FM, Kralovic D, Russman AN, Uchino K, Hussain MS, Udeh BL. Cost-Consequence Analysis of Mobile Stroke Units vs. Standard Prehospital Care and Transport. Front Neurol 2020; 10:1422. [PMID: 32116993 PMCID: PMC7028763 DOI: 10.3389/fneur.2019.01422] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/30/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Mobile stroke units (MSUs) are the latest approach to improving time-sensitive stroke care delivery. Currently, there are no published studies looking at the expanded value of the MSU to diagnose and transport patients to the closest most appropriate facility. The purpose of this paper is to perform a cost consequence analysis of standard transport (ST) vs. MSU. Methods and Results: A cost consequence analysis was undertaken within a decision framework to compare the incremental cost of care for patients with confirmed stroke that were served by the MSU vs. their simulated care had they been served by standard emergency medical services between July 2014 and October 2015. At baseline values, the incremental cost between MSU and ST was $70,613 ($856,482 vs. $785,869) for 355 patient transports. The MSU avoided 76 secondary interhospital transfers and 76 emergency department (ED) encounters. Sensitivity analysis identified six variables that had measurable impact on the model's variability and a threshold value at which MSU becomes the optimal strategy: number of stroke patients (>391), probability of requiring transfer to a comprehensive stroke center (CSC, >0.52), annual cost of MSU operations (<$696,053), cost of air transfer (>$8,841), probability initial receiving hospital is a CSC (<0.32), and probability of ischemic stroke with ST (<0.76). Conclusions: MSUs can avert significant costs in the administration of stroke care once optimal thresholds are achieved. A comprehensive cost-effectiveness analysis is required to determine not just the operational value of an MSU but also its clinical value to patients and the society.
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Affiliation(s)
- Andrew P Reimer
- Critical Care Transport Team, Cleveland Clinic, Cleveland, OH, United States.,Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, United States
| | - Atif Zafar
- Cerebrovascular Center, Cleveland Clinic, Cleveland, OH, United States
| | - Fredric M Hustey
- Critical Care Transport Team, Cleveland Clinic, Cleveland, OH, United States
| | - Damon Kralovic
- Critical Care Transport Team, Cleveland Clinic, Cleveland, OH, United States
| | - Andrew N Russman
- Cerebrovascular Center, Cleveland Clinic, Cleveland, OH, United States
| | - Ken Uchino
- Cerebrovascular Center, Cleveland Clinic, Cleveland, OH, United States
| | | | - Belinda L Udeh
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.,Neurological Institute Center for Outcomes Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
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Rodríguez-Pardo J, Riera-López N, Fuentes B, Alonso de Leciñana M, Secades-García S, Álvarez-Fraga J, Busca-Ostolaza P, Carneado-Ruiz J, Díaz-Guzmán J, Egido-Herrero J, Gil-Núñez A, Masjuan-Vallejo J, Real-Martínez V, Vivancos-Mora J, Díez-Tejedor E. Prehospital selection of thrombectomy candidates beyond large vessel occlusion. Neurology 2020; 94:e851-e860. [DOI: 10.1212/wnl.0000000000008998] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Accepted: 09/02/2019] [Indexed: 11/15/2022] Open
Abstract
ObjectiveCurrent prehospital scales used to detect large vessel occlusion reveal very low endovascular thrombectomy (EVT) rates among selected patients. We developed a novel prehospital scale, the Madrid-Direct Referral to Endovascular Center (M-DIRECT), to identify EVT candidates for direct transfer to EVT-capable centers (EVT-Cs). The scale evaluated clinical examination, systolic blood pressure, and age. Since March 2017, patients closer to a stroke unit without EVT capabilities and an M-DIRECT positive score have been transferred to the nearest EVT-C. To test the performance of the scale-based routing protocol, we compared its outcomes with those of a simultaneous cohort of patients directly transferred to an EVT-C.MethodsIn this prospective observational study of consecutive patients with stroke code seen by emergency medical services, we compared diagnoses, treatments, and outcomes of patients who were closer to an EVT-C (mothership cohort) with those transferred according to the M-DIRECT score (M-DIRECT cohort).ResultsThe M-DIRECT cohort included 327 patients and the mothership cohort 214 patients. In the M-DIRECT cohort, 227 patients were negative and 100 were positive. Twenty-four (10.6%) patients required secondary transfer, leaving 124 (38%) patients from the M-DIRECT cohort admitted to an EVT-C. EVT rates were similar for patients with ischemic stroke in both cohorts (30.9% vs 31.5%). The M-DIRECT scale had 79% sensitivity, 82% specificity, and 53% positive predictive value for EVT. Recanalization and independence rates at 3 months did not differ between the cohorts.ConclusionsThe M-DIRECT scale was highly accurate for EVT, with treatment rates and outcomes similar to those of a mothership paradigm, thereby avoiding EVT-C overload with a low rate of secondary transfers.
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Brandler ES, Baksh N. Emergency management of stroke in the era of mechanical thrombectomy. Clin Exp Emerg Med 2019; 6:273-287. [PMID: 31910498 PMCID: PMC6952636 DOI: 10.15441/ceem.18.065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/13/2018] [Accepted: 10/24/2018] [Indexed: 01/01/2023] Open
Abstract
Emergency management of stroke has been directed at the delivery of recombinant tissue plasminogen activator (tPA) in a timely fashion. Because of the many limitations attached to the delivery of tPA and the perceived benefits accrued to tPA, its use has been limited. Mechanical thrombectomy, a far superior therapy for the largest and most disabling strokes, large vessel occlusions (LVOs), has changed the way acute strokes are managed. Aside from the rush to deliver tPA, there is now a need to identify LVO and refer those patients with LVO to physicians and facilities capable of delivering urgent thrombectomy. Other parts of emergency department management of stroke are directed at identifying and mitigating risk factors for future strokes and at preventing further damage from occurring. We review here the most recent literature supporting these advances in stroke care and present a framework for understanding the role that emergency physicians play in acute stroke care.
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Affiliation(s)
- Ethan S. Brandler
- Department of Emergency Medicine, State University of New York at Stony Brook, Stony Brook, NY, USA
| | - Nayeem Baksh
- Department of Emergency Medicine, State University of New York at Stony Brook, Stony Brook, NY, USA
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Serna Candel C, Aguilar Pérez M, Hellstern V, AlMatter M, Bäzner H, Henkes H. Recanalization of Emergent Large Intracranial Vessel Occlusion through Intravenous Thrombolysis: Frequency, Clinical Outcome, and Reperfusion Pattern. Cerebrovasc Dis 2019; 48:115-123. [PMID: 31747667 DOI: 10.1159/000503850] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 10/02/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND According to a recent meta-analysis, 1 out of 10 patients with emergent large intracranial vessel occlusion (ELVO) causing stroke have recanalization after intravenous thrombolysis (IVT) alone. However, rate, clinical outcome, and recanalization pattern of this phenomenon are poorly understood. OBJECTIVES AND METHODS Patients with ELVO recanalized only by IVT were analyzed, and frequency of recanalization, clinical outcome, safety variables, and reperfusion pattern were assessed. These patients were compared to a group of patients with ELVO who underwent endovascular thrombectomy with or without prior IVT. RESULTS Successful or sufficient recanalization after IVT alone occurred in 81 of 760 patients (10.6%) with ELVO who had been referred for endovascular thrombectomy. These 81 patients (group 1) were compared to a group of patients receiving endovascular thrombectomy with prior IVT (group 2) or without (group 3). A good clinical outcome at 90 days was seen in 61.7% of patients in group 1, 32.2% in group 2, and 34.5% in group 3 (p < 0.001). The 3 groups had no significant differences in intracranial hemorrhage. IVT was not independently associated with symptomatic intracranial hemorrhage, parenchymal hematoma, or subarachnoid hemorrhage. Mortality at 90 days was 9.9% in group 1, 20.7% in group 2, and 29.6% in group 3 (p < 0.001). After adjusting for all relevant variables, outcome and mortality differences were nonsignificant. No difference in the rate of successful reperfusion (modified treatment in cerebral ischemia [mTICI] 2b/3) was found. A reperfusion mTICI 3 was achieved in 18.5% in group 1, 60.7% in group 2, and 57.1% in group 3 (p < 0.001). Patients in group 1 had lower chance of achieving a complete recanalization (mTICI 3) compared to patients in group 2, OR 0.15 (95% CI 0.08-0.29) and in group 3, OR 0.17 (95% CI 0.09-0.32; p < 0.001). CONCLUSIONS Primary IVT in ELVO caused a recanalization rate of 10.6%, making endovascular treatment either unnecessary or impossible. Early recanalization of ELVO with only IVT is associated with a 61.7% independence rate at 90 days and similar successful reperfusion rates (mTICI2b/3) compared to ELVO treated with endovascular treatment, with or without previous IVT. However, recanalization only through IVT achieves a lower rate of mTICI 3 reperfusion when compared to endovascular treatment.
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Affiliation(s)
- Carmen Serna Candel
- Neuroradiologische Klinik, Neurozentrum, Klinikum Stuttgart, Stuttgart, Germany,
| | - Marta Aguilar Pérez
- Neuroradiologische Klinik, Neurozentrum, Klinikum Stuttgart, Stuttgart, Germany
| | - Victoria Hellstern
- Neuroradiologische Klinik, Neurozentrum, Klinikum Stuttgart, Stuttgart, Germany
| | - Muhammad AlMatter
- Neuroradiologische Klinik, Neurozentrum, Klinikum Stuttgart, Stuttgart, Germany
| | - Hansjörg Bäzner
- Neurologische Klinik, Neurozentrum, Klinikum Stuttgart, Stuttgart, Germany
| | - Hans Henkes
- Neuroradiologische Klinik, Neurozentrum, Klinikum Stuttgart, Stuttgart, Germany.,Medical Faculty, University Duisburg-Essen, Essen, Germany
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Adams NC, Griffin E, Motyer R, Farrell T, Carmody E, O'Shea A, Murphy B, O'Hare A, Looby S, Power S, Brennan P, Doyle KM, Thornton J. Review of external referrals to a regional stroke centre: it is not just about thrombectomy. Clin Radiol 2019; 74:950-955. [PMID: 31521325 DOI: 10.1016/j.crad.2019.07.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 07/26/2019] [Indexed: 02/02/2023]
Abstract
AIMS To determine the experience of a regional stroke referral centre of external referrals for endovascular thrombectomy (EVT) in patients with symptoms of acute ischaemic stroke (AIS) and large vessel occlusion (LVO). MATERIALS AND METHODS Data were collected prospectively over two 4-month periods (2017-2018) on consecutive external referrals for EVT. Baseline demographics, imaging findings, and key time parameters were recorded. Reasons for not transferring patients and for not performing EVT were recorded. Key time intervals were calculated and compared between the transferred and non-transferred group with and without intracranial occlusion and between the transferred patients who underwent thrombectomy and those who did not. RESULTS Two hundred and sixty-two patients were referred. Sixty-one percent (n=159) were accepted and transferred for treatment. Of those transferred, 86% (n=136) had EVT. Fourteen percent (n=23) were unsuitable for EVT on arrival due to no vessel occlusion (48% n=11), poor Alberta Stroke Program Early CT Score (ASPECTS)/established infarct (30%, n=7) haemorrhage (9%, n=2), and clinical recovery (13% n=3). One hundred and three patients (39%) were ineligible for EVT following phone discussion due to absence of intracranial occlusion (59%, n=61), low ASPECTS (22%, n=23), distal occlusion (4%, n=4), low/improving National Institutes of Health Stroke Scale (NIHSS; 10.7%, n=11), and poor modified Rankin Scale (mRS) at baseline (3%, n=3). Patients with LVO but not transferred had longer onset to hospital arrival time compared with those transferred 151.5 versus 91 minutes (p<0.005), with a trend also toward a longer door to CT/CTA 40 minutes versus 30 minutes (p=0.142). CONCLUSION These data provide valuable insights into the service provision of a comprehensive stroke network. The present rates of EVT and futile transfers are modest compared to published data. Access to neuroradiology and specialised stroke assessment is crucial to optimise time to treatment.
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Affiliation(s)
- N C Adams
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland.
| | - E Griffin
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - R Motyer
- Department of Radiology, Tallaght Hospital, Tallaght, Dublin 24, Ireland
| | - T Farrell
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - E Carmody
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - A O'Shea
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - B Murphy
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - A O'Hare
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - S Looby
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - S Power
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - P Brennan
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland
| | - K M Doyle
- Department of Physiology, School of Medicine, National University of Ireland, Galway, Ireland
| | - J Thornton
- Interventional Neuroradiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland; Honorary Clinical Associate Professor, Royal College of Surgeons, 123 St Stephens Green, Dublin, Ireland
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Requena M, Olivé-Gadea M, Boned S, Ramos A, Cardona P, Urra X, Serena J, Silva Y, Purroy F, Ustrell X, Abilleira S, Tomasello A, Perez de la Ossa N, Molina CA, Ribo M, Rubiera M. Clinical and neuroimaging criteria to improve the workflow in transfers for endovascular treatment evaluation. Int J Stroke 2019; 15:988-994. [DOI: 10.1177/1747493019874725] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Transfer protocols from primary to comprehensive stroke centers are crucial for endovascular treatment success. Aim To evaluate clinical and neuroimaging data of transferred patients and their likelihood of presenting a large infarct core at comprehensive stroke center arrival. Methods Retrospective analysis of population-based mandatory prospective registry of acute stroke patients evaluated for endovascular treatment. Consecutive patients evaluated at primary stroke center with suspected large vessel occlusion and PSC-ASPECTS ≥ 6 transferred to a comprehensive stroke center were included. PSC and CSC-ASPECTS, time-metrics, and clinical data were analyzed. Results During 28 months, 1185 endovascular treatment candidates were transferred from PC to comprehensive stroke center in our public stroke network, 477 had an anterior circulation syndrome and available neuroimaging information and were included. Median baseline NIHSS was 13 (8–19). On arrival to comprehensive stroke center, large vessel occlusion was confirmed in 60.2% patients, and 41.2% received endovascular treatment. Median interfacility ASPECTS decay was 1 (0–2) after a median of 150.7 (SD 101) min between both CT-acquisitions. A logistic regression analysis adjusted by age, time from symptoms to PC-CT, and time from PC-CT to CSC-CT showed that only a baseline NIHSS and PSC-ASPECTS independently predicted a CSC-ASPECTS < 6. ROC curves identified baseline NIHSS ≥ 16 and PSC-ASPECTS ≤ 7 as the best cut-off points. The rate of CSC-ASPECTS < 6 increased from 7% to 57% among patients with NIHSS ≥ 16 and PSC-ASPECS ≤ 7. Conclusion After a median transfer time >2 h, only 11.9% showed ASPECTS < 6 at the comprehensive stroke center. Activation of endovascular treatment teams should not require confirming neuroimaging on arrival and repeating neuroimaging at comprehensive stroke center should only be performed in selected cases.
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Affiliation(s)
- Manuel Requena
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
- Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marta Olivé-Gadea
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Sandra Boned
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
- Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Anna Ramos
- Stroke Unit, Department of Neurology, Germans Trias i Pujol Hospital, Badalona, Spain
| | - Pere Cardona
- Stroke Unit, Department of Neurology, Bellvitge University Hospital, Barcelona, Spain
| | - Xabier Urra
- Stroke Unit, Department of Neurology, Clinic Hospital, Barcelona, Spain
| | - Joaquín Serena
- Stroke Unit, Department of Neurology, Doctor Josep Trueta University Hospital, Girona, Spain
| | - Yolanda Silva
- Stroke Unit, Department of Neurology, Doctor Josep Trueta University Hospital, Girona, Spain
| | - Francisco Purroy
- Department of Neurology, Arnau de Vilanova Hospital, Lleida, Spain
| | - Xavier Ustrell
- Stroke Unit, Joan XXIII University Hospital, Tarragona, Spain
| | - Sonia Abilleira
- Stroke Programme, Agency for Health Quality and Assessment of Catalonia, CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Alejandro Tomasello
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Carlos A Molina
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
- Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marc Ribo
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
- Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marta Rubiera
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
- Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
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Abstract
BACKGROUND The scientific evidence of the high efficacy of endovascular stroke treatment in large vessel occlusion (LVO) led to this treatment being accepted as the gold standard in these patients. OBJECTIVE This review article presents the various organizational models for thrombectomy and analyzes which model is preferred under which circumstances. MATERIAL AND METHODS In an analysis of the recent scientific literature the models for optimizing patient transport (drip and ship or mothership) and optimizing the availability of interventionalists (drip and drive or remote mentoring) are presented and compared. In addition, considerations are made on thrombectomy rates and the prevalence of LVOs and the construction of organizational models. RESULTS If the location of the stroke patient is just as far from or closer to a comprehensive stroke center (CSC) than a primary stroke center (PSC), the patient should be transported directly to the CSC by mothership. If, on the other hand, a PSC is closer to the stroke site than a CSC and the time after the onset of symptoms lies within the lysis time window, this decision depends on many variables. CONCLUSION Based on the unambiguous data situation, no recommendations can currently be made for a generally superior organizational model.
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Affiliation(s)
- J Fiehler
- Klinik und Poliklinik für Neuroradiologische Diagnostik und Intervention, Universitätsklinikum Hamburg-Eppendorf, Haus Ost 22 (O 22), Martinistr. 52, 20246, Hamburg, Deutschland.
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Moustafa H, Barlinn K, Prakapenia A, Winzer S, Gerber J, Pallesen LP, Siepmann T, Haedrich K, Wojciechowski C, Reichmann H, Linn J, Puetz V, Barlinn J. Endovascular therapy for anterior circulation large vessel occlusion in telestroke. J Telemed Telecare 2019; 27:159-165. [PMID: 31390946 DOI: 10.1177/1357633x19867193] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Recent exploratory analysis suggested comparable outcomes among stroke patients undergoing endovascular therapy (EVT) for anterior circulation large vessel occlusion, whether selected via the telestroke network or admitted directly to an EVT-capable centre. We further studied the role of telemedicine in selection of ischaemic stroke patients potentially eligible for EVT. METHODS We prospectively included consecutive ischaemic stroke patients with anterior circulation large vessel occlusion who underwent EVT at our neurovascular centre (January 2016 to March 2018). We compared safety and efficacy including symptomatic intracerebral haemorrhage (sICH), successful reperfusion (mTICI 2b/3), 90-day favourable outcome (mRS ≤ 2) and 90-day survival between patients transferred from telestroke hospitals and patients directly admitted. RESULTS Of 280 potentially EVT-eligible patients, 72/129 (56%) telestroke and 91/151 (60%) direct admissions eventually underwent EVT (age 76 (66-82) years, median (interquartile range), 46% men, NIHSS score 17 (13-20)). Telestroke patients had larger pre-EVT infarct cores (ASPECTS: 7 (6-8) vs. 8 (7-9); p < 0.0001) and shorter door-to-groin puncture times (71 (56-84) vs. 101 (79-133) min; p < 0.0001) than directly admitted patients. sICH (2.8% vs. 1.1%; p = 0.58), successful reperfusion (81% vs. 77%; p = 0.56), 90-day favourable outcome (25% vs. 29%; p = 0.65) and 90-day survival (73% vs. 67%; p = 0.39) rates were comparable among telestroke and direct admissions. DISCUSSION Our data underpins the important role of telemedicine in identifying acute ischaemic stroke patients lacking immediate access to EVT-capable stroke centres. Stroke patients selected via telemedicine and those directly admitted had comparable chances of favourable outcomes after EVT for large vessel occlusion.
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Affiliation(s)
- Haidar Moustafa
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Kristian Barlinn
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Alexandra Prakapenia
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Simon Winzer
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Johannes Gerber
- Department of Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Lars-Peder Pallesen
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Timo Siepmann
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Kevin Haedrich
- Department of Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Claudia Wojciechowski
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Heinz Reichmann
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Jennifer Linn
- Department of Neuroradiology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Volker Puetz
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Jessica Barlinn
- Department of Neurology, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
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Abstract
Despite several effective strategies of stroke prevention, the stroke epidemic still constitutes the leading cause of permanent disability. The recent series of well-designed, convincingly-positive randomized controlled trials of endovascular thrombectomy in stroke patients with large vessel occlusion launched a paradigm shift and a new era in acute stroke management. The present review provides an overview of the technical aspects of the procedure, discusses patient selection criteria, summarizes the current evidence from randomized trials about its efficacy and safety, and explores its implications in the organization of acute stroke care.
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Affiliation(s)
- Panagiotis Papanagiotou
- From the Clinic for Diagnostic and Interventional Neuroradiology, Hospital Bremen-Mitte, Germany (P.P.); Saarland University, Germany (P.P.); and Department of Medicine, University of Thessaly, Larissa, Greece (G.N.).
| | - George Ntaios
- From the Clinic for Diagnostic and Interventional Neuroradiology, Hospital Bremen-Mitte, Germany (P.P.); Saarland University, Germany (P.P.); and Department of Medicine, University of Thessaly, Larissa, Greece (G.N.)
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Demchuk AM, Albers GW, Nogueira RG. STAIR X: Trial Design Considerations and Additional Populations to Expand Indications for Endovascular Treatment. Stroke 2019; 50:1605-1611. [PMID: 31112484 DOI: 10.1161/strokeaha.119.024337] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Andrew M Demchuk
- From the Departments of Clinical Neurosciences (A.M.D.) and Radiology (A.M.D.), Calgary Stroke Program, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Gregory W Albers
- Stroke Center and Department of Neurology, Stanford University School of Medicine, CA (G.W.A.)
| | - Raul G Nogueira
- Departments of Neurology (R.G.N.), Neurosurgery (R.G.N.), and Radiology (R.G.N.), Emory University School of Medicine, Atlanta, GA
- Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA (R.G.N.)
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Zachrison KS, Leslie-Mazwi TM, Boulouis G, Goldstein JN, Regenhardt RW, Viswanathan A, Lauer A, Siddiqui KA, Charidimou A, Rost N, Schwamm LH. Frequency of early rapid improvement in stroke severity during interfacility transfer. Neurol Clin Pract 2019; 9:373-380. [PMID: 31750022 DOI: 10.1212/cpj.0000000000000667] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 02/12/2019] [Indexed: 01/01/2023]
Abstract
Background As interfacility transfer of patients with stroke becomes increasingly common, understanding fluctuations in deficits during transfer may help predict resource needs. We sought to characterize changes in NIH Stroke Scale (NIHSS) scores during transfer and identify factors associated with early rapid improvement (ERI). Methods We used prospectively collected data from our Comprehensive Stroke Center's (CSCs) stroke and telestroke network databases. We calculated changes in NIHSS scores for all patients transferred to our CSC after an initial telestroke evaluation from January 2010 to December 2015. Logistic regression identified factors associated with ERI, controlling for patient characteristics available on arrival. Results Among the 505 patients included, the median initial NIHSS score was 11 (interquartile range [IQR] 5-18), and on CSC arrival, it was 9 (IQR 3-17), with a median change of 0 (-3 to -0). Of note, 74.5% of scores changed by fewer than 4 points (7% increased ≥4 points, and 19% decreased ≥4). In 85% of cases, the NIHSS score change did not cross a threshold to alter eligibility for thrombectomy. In multivariable modeling, ERI was associated with ability to ambulate before the index stroke (odds ratio [OR] 5.79, p = 0.02) and higher initial NIHSS (OR 1.06 per point, p = 0.001). Conclusions These findings may be valuable for resource planning and for inclusion in thrombectomy alert activation processes at the receiving hospital.
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Affiliation(s)
- Kori S Zachrison
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Thabele M Leslie-Mazwi
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Gregoire Boulouis
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Joshua N Goldstein
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Robert W Regenhardt
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Anand Viswanathan
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Arne Lauer
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Khawdja Ahmer Siddiqui
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Andreas Charidimou
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Natalia Rost
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
| | - Lee H Schwamm
- Department of Emergency Medicine (KSZ, JNG), Massachusetts General Hospital, Boston, MA; Department of Neurology (TML-M, RWR, AV, AC, NR, LHS), Massachusetts General Hospital, Boston, MA; Department of Neuroradiology (GB), Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France; Department of Neuroradiology (AL), Goethe University, Frankfurt, Germany; and Department of Neurology (KAS), Baylor College of Medicine, Houston, TX
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Seners P, Turc G, Naggara O, Henon H, Piotin M, Arquizan C, Cho TH, Narata AP, Lapergue B, Richard S, Legrand L, Bricout N, Blanc R, Dargazanli C, Gory B, Debiais S, Tisserand M, Bracard S, Leclerc X, Obadia M, Costalat V, Berner LP, Cottier JP, Consoli A, Ducrocq X, Mas JL, Oppenheim C, Baron JC, Abrivard M, Alamowitch S, Ben Hassen W, Berthezene Y, Blanc-Lasserre K, Boulin A, Boulouis G, Bouly S, Bourdain F, Calvet D, Charron V, Chbicheb M, Condette-Auliac S, Corabianu O, Cordonnier C, Coskun O, De Broucker T, Decroix JP, Di Maria F, Evrard S, Fissellier M, Girard I, Lalu T, Le Coz P, Le Guen M, Ille O, Leys D, Magni C, Manchon E, Mazighi M, Mounier-Vehier F, Moynier M, Muresan IP, Nighoghossian N, Ong E, Ozsancak C, Philippeau F, Pico F, Rodesch G, Rosolacci T, Sabben C, Sablot D, Tassan P, Tchikviladze M, Turjman F, Vallet AE, Wang A, Zins M, Zuber M. Post-Thrombolysis Recanalization in Stroke Referrals for Thrombectomy. Stroke 2018; 49:2975–2982. [DOI: 10.1161/strokeaha.118.022335] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background and Purpose—
Whether all acute stroke patients with large vessel occlusion need to undergo intravenous thrombolysis before mechanical thrombectomy (MT) is debated as (1) the incidence of post-thrombolysis early recanalization (ER) is still unclear; (2) thrombolysis may be harmful in patients unlikely to recanalize; and, conversely, (3) transfer for MT may be unnecessary in patients highly likely to recanalize. Here, we determined the incidence and predictors of post-thrombolysis ER in patients referred for MT and derive ER prediction scores for trial design.
Methods—
Registries from 4 MT-capable centers gathering patients referred for MT and thrombolyzed either on site (mothership) or in a non MT-capable center (drip-and-ship) after magnetic resonance– or computed tomography–based imaging between 2015 and 2017. ER was identified on either first angiographic run or noninvasive imaging. In the magnetic resonance imaging subsample, thrombus length was determined on T2*-based susceptibility vessel sign. Independent predictors of no-ER were identified using multivariable logistic regression models, and scores were developed according to the magnitude of regression coefficients. Similar registries from 4 additional MT-capable centers were used as validation cohort.
Results—
In the derivation cohort (N=633), ER incidence was ≈20%. In patients with susceptibility vessel sign (n=498), no-ER was independently predicted by long thrombus, proximal occlusion, and mothership paradigm. A 6-point score derived from these variables showed strong discriminative power for no-ER (C statistic, 0.854) and was replicated in the validation cohort (n=353; C statistic, 0.888). A second score derived from the whole sample (including negative T2* or computed tomography–based imaging) also showed good discriminative power and was similarly validated. Highest grades on both scores predicted no-ER with >90% specificity, whereas low grades did not reliably predict ER.
Conclusions—
The substantial ER rate underlines the benefits derived from thrombolysis in bridging populations. Both prediction scores afforded high specificity for no-ER, but not for ER, which has implications for trial design.
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Affiliation(s)
- Pierre Seners
- From the Neurology Department (P.S., G.T., J.-L.M., J.-C.B.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
| | - Guillaume Turc
- From the Neurology Department (P.S., G.T., J.-L.M., J.-C.B.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
| | - Olivier Naggara
- Radiology Department (O.N., L.L., C.O.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
| | - Hilde Henon
- Stroke Unit, Neurology Department (H.H.), Roger Salengro Hospital, Lille, France
| | - Michel Piotin
- Interventional Neuroradiology Department (M.P., R.B.), Fondation Adolphe de Rothschild, Paris, France
| | - Caroline Arquizan
- Neurology Department (C.A.), CHRU Gui de Chauliac, Montpellier, France
| | - Tae-Hee Cho
- Stroke Medicine Department (T.-H.C.), Hospices Civils de Lyon, France
| | - Ana-Paula Narata
- Neuroradiology Department (A.-P.N., J.-P.C.), Bretonneau Hospital, Tours, France
| | | | | | - Laurence Legrand
- Radiology Department (O.N., L.L., C.O.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
| | - Nicolas Bricout
- Neuroradiology Department (N.B., X.L.), Roger Salengro Hospital, Lille, France
- Neuroradiology Department, CHU Lille, France (N.B., X.L.)
| | - Raphaël Blanc
- Interventional Neuroradiology Department (M.P., R.B.), Fondation Adolphe de Rothschild, Paris, France
| | - Cyril Dargazanli
- Neuroradiology Department (C.D., V.C.), CHRU Gui de Chauliac, Montpellier, France
| | - Benjamin Gory
- Stroke Medicine Department (T.-H.C.), Hospices Civils de Lyon, France
- Neuroradiology Department (B.G., S.B.), University Hospital of Nancy, France
| | | | - Marie Tisserand
- Neuroradiology Department (A.C., M.T.), Foch Hospital, Suresnes, France
| | - Serge Bracard
- Stroke Medicine Department (T.-H.C.), Hospices Civils de Lyon, France
- Neuroradiology Department (B.G., S.B.), University Hospital of Nancy, France
| | - Xavier Leclerc
- Neuroradiology Department (N.B., X.L.), Roger Salengro Hospital, Lille, France
- Neurology Department (C.A.), CHRU Gui de Chauliac, Montpellier, France
| | - Michael Obadia
- Neurology Department (M.O.), Fondation Adolphe de Rothschild, Paris, France
| | - Vincent Costalat
- Neuroradiology Department (C.D., V.C.), CHRU Gui de Chauliac, Montpellier, France
| | - Lise-Prune Berner
- Neuroradiology Department (L.-P.B.), Hospices Civils de Lyon, France
| | | | - Arturo Consoli
- Neuroradiology Department (A.C., M.T.), Foch Hospital, Suresnes, France
| | - Xavier Ducrocq
- Neurology Department, Metz-Thionville Hospital, France (X.D.)
| | - Jean-Louis Mas
- From the Neurology Department (P.S., G.T., J.-L.M., J.-C.B.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
| | - Catherine Oppenheim
- From the Neurology Department (P.S., G.T., J.-L.M., J.-C.B.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
- Radiology Department (O.N., L.L., C.O.), INSERM U894, Sainte-Anne Hospital, Université Paris Descartes, Paris, France
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Sablot D, Dumitrana A, Leibinger F, Khlifa K, Fadat B, Farouil G, Allou T, Coll F, Mas J, Smadja P, Ferraro-Allou A, Mourand I, Dutray A, Tardieu M, Jurici S, Bonnec JM, Olivier N, Cardini S, Damon F, Van Damme L, Aptel S, Gaillard N, Marquez AM, Nguyen Them L, Ibanez M, Arquizan C, Costalat V, Bonafe A. Futile inter-hospital transfer for mechanical thrombectomy in a semi-rural context: analysis of a 6-year prospective registry. J Neurointerv Surg 2018; 11:539-544. [DOI: 10.1136/neurintsurg-2018-014206] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 09/20/2018] [Accepted: 09/23/2018] [Indexed: 12/26/2022]
Abstract
Background and purposeInter-hospital transfer for mechanical thrombectomy (MT) might result in the transfer of patients who finally will not undergo MT (ie, futile transfers [FT]). This study evaluated FT frequency in a primary stroke center (PSC) in a semi-rural area and at 156 km from the comprehensive stroke center (CSC).MethodologyRetrospective analysis of data collected in a 6-year prospective registry concerning patients admitted to our PSC within 4.5 hours of acute ischemic stroke (AIS) symptom onset, with MR angiography indicating the presence of large vessel occlusion (LVO) without large cerebral infarction (DWI-ASPECT ≥5), and selected for transfer to the CSC to undergo MT. Futile transfer rate and reasons were determined, and the relevant time measures recorded.ResultsAmong the 529 patients screened for MT, 278 (52.6%) were transferred to the CSC. Futile transfer rate was 45% (n=125/278) and the three main reasons for FT were: clinical improvement and reperfusion on MRI on arrival at the CSC (58.4% of FT); clinical worsening and/or infarct growth (16.8%); and longer than expected inter-hospital transfer time (11.2%). Predictive factors of FT due to clinical improvement/reperfusion on MRI could not be identified. Baseline higher NIHSS (21 vs 17; P=0.01) and lower DWI-ASPECT score (5 vs 7; P=0.001) were associated with FT due to clinical worsening/infarct growth on MRI.ConclusionsIn our setting, 45% of transfers for MT were futile. None of the baseline factors could predict FT, but the initial symptom severity was associated with FT caused byclinical worsening/infarct growth.
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Catanese L, Gupta R, Griessenauer CJ, Moore JM, Adeeb N, Enriquez-Marulanda A, Alturki AY, Ascanio LC, Lioutas V, Shoamanesh A, Cohen W, Kumar S, Selim M, Thomas AJ, Ogilvy CS. Patterns of Stroke Transfers and Identification of Predictors for Thrombectomy. World Neurosurg 2018; 121:e675-e683. [PMID: 30296622 DOI: 10.1016/j.wneu.2018.09.189] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Interhospital transfers for endovascular thrombectomy (EVT) evaluation have increased since the publication of landmark neuroendovascular stroke trials in 2015. The lack of guidelines to select potential EVT candidates prior to transfer can lead to instances where, despite considerable costs and transport risks, transferred patients do not ultimately undergo EVT. Our aim was to characterize the patterns and identify predictors for EVT on transfer. METHODS In this observational cohort study, we retrospectively analyzed patients with acute ischemic stroke (AIS) transferred to our institution for EVT evaluation from January 2015 to March 2016. Clinical and radiographic predictors for EVT on transfer were determined with multivariable logistic regression analysis. RESULTS A total of 103 transfer patients with AIS were included in the study, and 52% were women. A higher collateral score (P < 0.01), a higher National Institutes of Health Stroke Scale (NIHSS) score (P < 0.01), computed tomography angiography (CTA) at referring hospital (P < 0.01), and large vessel occlusion on arrival CTA (P < 0.01) were significant in patients who underwent EVT on univariable analysis. More than half (61.1%) of transfers were futile and primarily related to absence of large vessel occlusion on arrival. A higher collateral score (P = 0.02), a higher NIHSS score (P = 0.006), and having undergone a CTA at the referring center (P = 0.002) remained the independent predictors of EVT. The C statistic for the model was 0.94. CONCLUSIONS A higher collateral score, the acquisition of CTA imaging at the referring centers, and a higher NIHSS score independently predicted EVT on transfer.
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Affiliation(s)
- Luciana Catanese
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; Population Health Research Institute, McMaster University Medical School, Hamilton, Ontario, Canada
| | - Raghav Gupta
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Justin M Moore
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Nimer Adeeb
- Department of Neurosurgery, Louisiana State University - Shreveport, Shreveport, Louisiana, USA
| | - Alejandro Enriquez-Marulanda
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Abdulrahman Y Alturki
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Luis C Ascanio
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Vasileios Lioutas
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ashkan Shoamanesh
- Population Health Research Institute, McMaster University Medical School, Hamilton, Ontario, Canada
| | - Wendy Cohen
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Sandeep Kumar
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Magdy Selim
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ajith J Thomas
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Christopher S Ogilvy
- Department of Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
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Menon BK, Al-Ajlan FS, Najm M, Puig J, Castellanos M, Dowlatshahi D, Calleja A, Sohn SI, Ahn SH, Poppe A, Mikulik R, Asdaghi N, Field TS, Jin A, Asil T, Boulanger JM, Smith EE, Coutts SB, Barber PA, Bal S, Subramanian S, Mishra S, Trivedi A, Dey S, Eesa M, Sajobi T, Goyal M, Hill MD, Demchuk AM. Association of Clinical, Imaging, and Thrombus Characteristics With Recanalization of Visible Intracranial Occlusion in Patients With Acute Ischemic Stroke. JAMA 2018; 320:1017-1026. [PMID: 30208455 PMCID: PMC6143104 DOI: 10.1001/jama.2018.12498] [Citation(s) in RCA: 187] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Recanalization of intracranial thrombus is associated with improved clinical outcome in patients with acute ischemic stroke. The association of intravenous alteplase treatment and thrombus characteristics with recanalization over time is important for stroke triage and future trial design. OBJECTIVE To examine recanalization over time across a range of intracranial thrombus occlusion sites and clinical and imaging characteristics in patients with ischemic stroke treated with intravenous alteplase or not treated with alteplase. DESIGN, SETTING, AND PARTICIPANTS Multicenter prospective cohort study of 575 patients from 12 centers (in Canada, Spain, South Korea, the Czech Republic, and Turkey) with acute ischemic stroke and intracranial arterial occlusion demonstrated on computed tomographic angiography (CTA). EXPOSURES Demographics, clinical characteristics, time from alteplase to recanalization, and intracranial thrombus characteristics (location and permeability) defined on CTA. MAIN OUTCOMES AND MEASURES Recanalization on repeat CTA or on first angiographic acquisition of affected intracranial circulation obtained within 6 hours of baseline CTA, defined using the revised arterial occlusion scale (rAOL) (scores from 0 [primary occlusive lesion remains the same] to 3 [complete revascularization of primary occlusion]). RESULTS Among 575 patients (median age, 72 years [IQR, 63-80]; 51.5% men; median time from patient last known well to baseline CTA of 114 minutes [IQR, 74-180]), 275 patients (47.8%) received intravenous alteplase only, 195 (33.9%) received intravenous alteplase plus endovascular thrombectomy, 48 (8.3%) received endovascular thrombectomy alone, and 57 (9.9%) received conservative treatment. Median time from baseline CTA to recanalization assessment was 158 minutes (IQR, 79-268); median time from intravenous alteplase start to recanalization assessment was 132.5 minutes (IQR, 62-238). Successful recanalization occurred at an unadjusted rate of 27.3% (157/575) overall, including in 30.4% (143/470) of patients who received intravenous alteplase and 13.3% (14/105) who did not (difference, 17.1% [95% CI, 10.2%-25.8%]). Among patients receiving alteplase, the following factors were associated with recanalization: time from treatment start to recanalization assessment (OR, 1.28 for every 30-minute increase in time [95% CI, 1.18-1.38]), more distal thrombus location, eg, distal M1 middle cerebral artery (39/84 [46.4%]) vs internal carotid artery (10/92 [10.9%]) (OR, 5.61 [95% CI, 2.38-13.26]), and higher residual flow (thrombus permeability) grade, eg, hairline streak (30/45 [66.7%]) vs none (91/377 [24.1%]) (OR, 7.03 [95% CI, 3.32-14.87]). CONCLUSIONS AND RELEVANCE In patients with acute ischemic stroke, more distal thrombus location, greater thrombus permeability, and longer time to recanalization assessment were associated with recanalization of arterial occlusion after administration of intravenous alteplase; among patients who did not receive alteplase, rates of arterial recanalization were low. These findings may help inform treatment and triage decisions in patients with acute ischemic stroke.
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Affiliation(s)
| | - Fahad S. Al-Ajlan
- King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | | | - Josep Puig
- IDI-IDIBGI, Dr Josep Trueta University Hospital, Girona, Spain
| | - Mar Castellanos
- IDI-IDIBGI, Dr Josep Trueta University Hospital, Girona, Spain
| | | | - Ana Calleja
- Universidad de Valladolid, Valladolid, Spain
| | | | - Seong H. Ahn
- Keimyung University, Daegu, Republic of Korea
- Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Alex Poppe
- University of Montreal, Montreal, Québec, Canada
| | - Robert Mikulik
- International Clinical Research Center, Department of Neurology, St Ann's University Hospital, Masaryk University, Brno, Czech Republic
| | | | - Thalia S. Field
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Albert Jin
- Queen's University Kingston, Ontario, Canada
| | - Talip Asil
- Bezmialem Vakif Univesitesi Noroloji, Istanbul, Turkey
| | | | | | | | | | | | | | - Sachin Mishra
- Gold Coast University Hospital, Gold Coast, Australia
| | | | | | - Muneer Eesa
- University of Calgary, Calgary, Alberta, Canada
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George BP, Doyle SJ, Albert GP, Busza A, Holloway RG, Sheth KN, Kelly AG. Interfacility transfers for US ischemic stroke and TIA, 2006-2014. Neurology 2018; 90:e1561-e1569. [PMID: 29618623 DOI: 10.1212/wnl.0000000000005419] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 01/08/2018] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To investigate changes in emergency department (ED) transfers for ischemic stroke (IS) and TIA. METHODS We performed a retrospective observational study using the US Nationwide Emergency Department Sample to identify changes in interfacility ED transfers for IS and TIA from the perspective of the transferring ED (2006-2014). We calculated nationwide transfer rates and individual ED transfer rates for IS/TIA by diagnosis and hospital characteristics. Hospital-level fractional logistic regression examined changes in transfer rates over time. RESULTS The population-estimated number of transfers for IS/TIA increased from 22,576 patient visits in 2006 to 54,485 patient visits in 2014 (p trend < 0.001). The rate of IS/TIA transfer increased from 3.4 (95% confidence interval [CI] 3.0-3.8) in 2006 to 7.6 (95% CI 7.2-7.9) in 2014 per 100 ED visits. Among individual EDs, mean transfer rates for IS/TIA increased from 8.2 per 100 ED visits (median 2.0, interquartile range [IQR] 0-10.2) to 19.4 per 100 ED visits (median 8.1, IQR 1.1-33.3) (2006-2014) (p trend < 0.001). Transfers were more common among IS. Transfer rates were greatest among rural (adjusted odds ratio [AOR] 3.05, 95% CI 2.56-3.64) vs urban/teaching and low-volume EDs (AOR 7.49, 95% CI 6.58-8.53, 1st vs 4th quartile). The adjusted odds of transfer for IS/TIA increased threefold (2006-2014). CONCLUSIONS Interfacility ED transfers for IS/TIA more than doubled from 2006 to 2014. Further work should determine the necessity of IS/TIA transfers and seek to optimize the US stroke care system.
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Affiliation(s)
- Benjamin P George
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT.
| | - Sara J Doyle
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - George P Albert
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Ania Busza
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Robert G Holloway
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Kevin N Sheth
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Adam G Kelly
- From the Department of Neurology (B.P.G., A.B., R.G.H., A.G.K.), University of Rochester Medical Center, NY; Department of Neurology (S.J.D.), Northwestern University School of Medicine, Chicago, IL; College of Arts & Sciences (G.P.A.), University of Rochester, NY; and Division of Neurocritical Care and Emergency Neurology, Department of Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
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46
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Goyal M, Menon BK, Wilson AT, Almekhlafi MA, McTaggart R, Jayaraman M, Demchuk AM, Hill MD. Primary to comprehensive stroke center transfers: Appropriateness, not futility. Int J Stroke 2018; 13:550-553. [DOI: 10.1177/1747493018764072] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and purpose Ischemic stroke patients must be transferred to comprehensive stroke centers for endovascular treatment, but this transfer can be interpreted post hoc as “futile” if patients do not ultimately undergo the procedure or have a poor outcome. We posit that transfer decisions must instead be evaluated in terms of appropriateness at the time of decision-making. Methods We propose a classification schema for Appropriateness of Transfer for Endovascular Thrombectomy based on patient, logistic, and center characteristics. Results The classification outline characteristics of patients that are 1. Appropriate for transfer for endovascular treatment; 2. Inappropriate for transfer; and 3. Appropriate for transfer for higher level of care. Conclusions Appropriate transfer decisions for endovascular treatment are significant for patient outcomes. A more nuanced understanding of transfer decision-making and a classification for such transfers can help minimize inappropriate transfers in acute stroke.
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Affiliation(s)
- Mayank Goyal
- Department of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Bijoy K Menon
- Department of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Alexis T Wilson
- Department of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | | | - Ryan McTaggart
- Departments of Neurology, Diagnostic Imaging, and Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Mahesh Jayaraman
- Departments of Neurology, Diagnostic Imaging, and Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Andrew M Demchuk
- Department of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Michael D Hill
- Department of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
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47
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Nikoubashman O, Pauli F, Schürmann K, Othman AE, Bach JP, Wiesmann M, Reich A. Transfer of stroke patients impairs eligibility for endovascular stroke treatment. J Neuroradiol 2018; 45:49-53. [DOI: 10.1016/j.neurad.2017.07.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 06/12/2017] [Accepted: 07/19/2017] [Indexed: 11/29/2022]
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48
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Parikh NS, Chatterjee A, Díaz I, Pandya A, Merkler AE, Gialdini G, Kummer BR, Mir SA, Lerario MP, Fink ME, Navi BB, Kamel H. Modeling the Impact of Interhospital Transfer Network Design on Stroke Outcomes in a Large City. Stroke 2018; 49:370-376. [PMID: 29343588 DOI: 10.1161/strokeaha.117.018166] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 12/07/2017] [Accepted: 12/11/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We sought to model the effects of interhospital transfer network design on endovascular therapy eligibility and clinical outcomes of stroke because of large-vessel occlusion for the residents of a large city. METHODS We modeled 3 transfer network designs for New York City. In model A, patients were transferred from spoke hospitals to the closest hub hospitals with endovascular capabilities irrespective of hospital affiliation. In model B, which was considered the base case, patients were transferred to the closest affiliated hub hospitals. In model C, patients were transferred to the closest affiliated hospitals, and transfer times were adjusted to reflect full implementation of streamlined transfer protocols. Using Monte Carlo methods, we simulated the distributions of endovascular therapy eligibility and good functional outcomes (modified Rankin Scale score, 0-2) in these models. RESULTS In our models, 200 patients (interquartile range [IQR], 168-227) with a stroke amenable to endovascular therapy present to New York City spoke hospitals each year. Transferring patients to the closest hub hospital irrespective of affiliation (model A) resulted in 4 (IQR, 1-9) additional patients being eligible for endovascular therapy and an additional 1 (IQR, 0-2) patient achieving functional independence. Transferring patients only to affiliated hospitals while simulating full implementation of streamlined transfer protocols (model C) resulted in 17 (IQR, 3-41) additional patients being eligible for endovascular therapy and 3 (IQR, 1-8) additional patients achieving functional independence. CONCLUSIONS Optimizing acute stroke transfer networks resulted in clinically small changes in population-level stroke outcomes in a dense, urban area.
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Affiliation(s)
- Neal S Parikh
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.).
| | - Abhinaba Chatterjee
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Iván Díaz
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Ankur Pandya
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Alexander E Merkler
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Gino Gialdini
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Benjamin R Kummer
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Saad A Mir
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Michael P Lerario
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Matthew E Fink
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Babak B Navi
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
| | - Hooman Kamel
- From the Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY (N.S.P., A.C., A.E.M., G.G., B.R.K., S.A.M., M.P.L., M.E.F., B.B.N., H.K.); Department of Neurology (N.S.P., A.E.M., S.A.M., M.E.F., B.B.N., H.K.) and Department of Healthcare Policy and Research (I.D.), Weill Cornell Medicine, New York, NY; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (A.P.); Department of Biomedical Informatics, Columbia University, New York, NY (B.R.K.); and Department of Neurology, NewYork-Presbyterian Queens, Flushing (M.P.L.)
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Zapata-Wainberg G, Ximénez-Carrillo Á, Trillo S, Fuentes B, Cruz-Culebras A, Aguirre C, Alonso de Leciñana M, Vera R, Bárcena E, Fernández-Prieto A, Méndez-Cendón JC, Caniego JL, Díez-Tejedor E, Masjuan J, Vivancos J. Mechanical thrombectomy in orally anticoagulated patients with acute ischemic stroke. J Neurointerv Surg 2017; 10:834-838. [PMID: 29275325 DOI: 10.1136/neurintsurg-2017-013504] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 11/22/2017] [Accepted: 11/27/2017] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND PURPOSE To investigate the efficacy and safety of mechanical thrombectomy in patients with acute ischemic stroke according to the oral anticoagulation medication taken at the time of stroke onset. MATERIALS AND METHODS A retrospective multicenter study of prospectively collected data based on data from the registry the Madrid Stroke Network was performed. We included consecutive patients with acute ischemic stroke treated with mechanical thrombectomy and compared the frequency of intracranial hemorrhage and the modified Rankin Scale (mRS) score at 3 months according to anticoagulation status. RESULTS The study population comprised 502 patients, of whom 389 (77.5%) were not anticoagulated, 104 (20.7%) were taking vitamin K antagonists, and 9 (1.8%) were taking direct oral anticoagulants. Intravenous thrombolysis had been performed in 59.8% and 15.0% of non-anticoagulated and anticoagulated patients, respectively. Rates of intracranial hemorrhage after treatment were similar between non-anticoagulated and anticoagulated patients, as were rates of recanalization. After 3 months of follow-up, the mRS score was ≤2 in 56.3% and 55.7% of non-anticoagulated and anticoagulated patients, respectively (P=NS). Mortality rates were similar in the two groups (13.1%and12.4%, respectively). Among anticoagulated patients, no differences were found for intracranial bleeding, mRS score, or mortality rates between patients taking vitamin K antagonists and those taking direct oral anticoagulants. CONCLUSIONS Mechanical thrombectomy is feasible in anticoagulated patients with acute ischemic stroke. The outcomes and safety profile are similar to those of patients with no prior anticoagulation therapy.
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Affiliation(s)
- Gustavo Zapata-Wainberg
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Invictus Plus, Red Nacional de Investigación en Ictus, Instituto de Investigación Sanitaria La Princesa, Madrid, Spain
| | - Álvaro Ximénez-Carrillo
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Invictus Plus, Red Nacional de Investigación en Ictus, Instituto de Investigación Sanitaria La Princesa, Madrid, Spain
| | - Santiago Trillo
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Invictus Plus, Red Nacional de Investigación en Ictus, Instituto de Investigación Sanitaria La Princesa, Madrid, Spain
| | - Blanca Fuentes
- Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Neurology Department, Hospital Universitario La Paz, Madrid, Spain
| | - Antonio Cruz-Culebras
- Neurology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad de Alcalá (IRYCIS), Madrid, Spain
| | - Clara Aguirre
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Invictus Plus, Red Nacional de Investigación en Ictus, Instituto de Investigación Sanitaria La Princesa, Madrid, Spain
| | - María Alonso de Leciñana
- Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Neurology Department, Hospital Universitario La Paz, Madrid, Spain
| | - Rocío Vera
- Neurology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad de Alcalá (IRYCIS), Madrid, Spain
| | - Eduardo Bárcena
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain
| | - Andrés Fernández-Prieto
- Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Neurology Department, Hospital Universitario La Paz, Madrid, Spain
| | - José Carlos Méndez-Cendón
- Neurology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad de Alcalá (IRYCIS), Madrid, Spain
| | - Jose Luis Caniego
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain
| | - Exuperio Díez-Tejedor
- Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Neurology Department, Hospital Universitario La Paz, Madrid, Spain
| | - Jaime Masjuan
- Neurology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad de Alcalá (IRYCIS), Madrid, Spain
| | - José Vivancos
- Neurology Department, Hospital Universitario de La Princesa, Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.,Invictus Plus, Red Nacional de Investigación en Ictus, Instituto de Investigación Sanitaria La Princesa, Madrid, Spain
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Boulouis G, Lauer A, Siddiqui AK, Charidimou A, Regenhardt RW, Viswanathan A, Rost N, Leslie-Mazwi TM, Schwamm LH. Clinical Imaging Factors Associated With Infarct Progression in Patients With Ischemic Stroke During Transfer for Mechanical Thrombectomy. JAMA Neurol 2017; 74:1361-1367. [PMID: 28973081 PMCID: PMC5710581 DOI: 10.1001/jamaneurol.2017.2149] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 06/07/2017] [Indexed: 01/07/2023]
Abstract
Importance When transferred from a referring hospital (RH) to a thrombectomy-capable stroke center (TCSC), patients with initially favorable imaging profiles (Alberta Stroke Program Early CT Score [ASPECTS] ≥6) often demonstrate infarct progression significant enough to make them ineligible for mechanical thrombectomy at arrival. In rapidly evolving stroke care networks, the question of the need for vascular imaging at the RHs remains unsolved, resulting in an important amount of futile transfers for thrombectomy. Objective To examine the clinical imaging factors associated with unfavorable imaging profile evolution for thrombectomy in patients with ischemic stroke initially transferred to non-TCSCs. Design, Setting, and Participants Data from patients transferred from 1 of 30 RHs in our regional stroke network and presenting at our TCSC from January 1, 2010, to January 1, 2016, were retrospectively analyzed. Consecutive patients with acute ischemic stroke initially admitted to a non-thrombectomy-capable RH and transferred to our center for which a RH computed tomography (CT) and a CT angiography (CTA) at arrival were available for review. Main Outcomes and Measures ASPECTS were evaluated. The adequacy of leptomeningeal collateral blood flow was rated as no or poor, decreased, adequate, or augmented per the adapted Maas scale. The main outcome was an ASPECTS decay, defined as an initial ASPECTS of 6 or higher worsening between RH and TCSC CTs to a score of less than 6 (making the patient less likely to derive clinical benefit from thrombectomy at arrival). Results A total of 316 patients were included in the analysis (mean [SD] age, 70.3 [14.2] years; 137 [43.4%] female). In multivariable models, higher National Institutes of Health Stroke Score, lower baseline ASPECTSs, and no or poor collateral blood vessel status were associated with ASPECTS decay, with collateral blood vessel status demonstrating the highest adjusted odds ratio of 5.14 (95% CI, 2.20-12.70; P < .001). Similar results were found after stratification by vessel occlusion level. Conclusions and Relevance In patients with ischemic stroke transferred for thrombectomy, poor collateral blood flow and stroke clinical severity are the main determinants of ASPECTS decay. Our findings suggest that in certain subgroups vascular imaging, including collateral assessment, can play a crucial role in determining the benefits of transfer for thrombectomy.
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Affiliation(s)
- Gregoire Boulouis
- Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Neuroradiology, Université Paris-Descartes, INSERM U894, Centre Hospitalier Sainte-Anne, Paris, France
| | - Arne Lauer
- Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Neuroradiology, Goethe University, Frankfurt, Germany
| | | | - Andreas Charidimou
- Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Robert W. Regenhardt
- Stroke Service, Massachusetts General Hospital, Harvard Medical School, Boston
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Anand Viswanathan
- Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston
- Stroke Service, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Natalia Rost
- Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston
- Stroke Service, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Thabele M. Leslie-Mazwi
- Stroke Service, Massachusetts General Hospital, Harvard Medical School, Boston
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Lee H. Schwamm
- Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston
- Stroke Service, Massachusetts General Hospital, Harvard Medical School, Boston
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