2
|
Liang W, Kwan ATH, Ye H, Mofatteh M, Feng M, Wellington J, Fu P, Wei W, Sun Y, Huang J, Luo J, Chen Y, Yang S, Zhou S. Post-ASPECTS and Post-PC-ASPECTS Predict the Outcome of Anterior and Posterior Ischemic Stroke Following Thrombectomy. Risk Manag Healthc Policy 2023; 16:2757-2769. [PMID: 38130745 PMCID: PMC10733595 DOI: 10.2147/rmhp.s436661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
Purpose In this study, we aimed to determine whether post-Alberta Stroke Project Early CT Changes Score (post-ASPECTS) in anterior stroke and post-(posterior circulation) PC-ASPECTS in posterior stroke on CT can predict post-endovascular thrombectomy (EVT) functional outcomes among patients with acute ischemic stroke (AIS) after EVT. Patients and Methods A total of 247 consecutive patients aged 18 and over receiving EVT for LVO-related AIS were recruited into a prospective database. The data was retrospectively analyzed between March 2019 and February 2022 from two comprehensive tertiary care stroke centers: Foshan Sanshui District People's Hospital and First People's Hospital of Foshan in China. Patient parameters included EVT within 24 hr of symptom onset, premorbid modified Rankin scale (mRS) ≤2, presence of distal and terminal cerebral blood vessel occlusion, and subsequent 24-72-hr post-stroke onset CT scan. Univariate comparisons were performed using the Fisher's exact test or χ2 test for categorical variables and the Mann-Whitney U-test for continuous variables. Logistic regression analysis was performed to further analyze for adjusting for confounding factors. A p-value of ≤0.05 was statistically significant. Results Overall, 236 individuals with 196 anterior circulation ischemic strokes and 40 posterior strokes of basilar artery occlusion were examined. Post-ASPECTS in anterior stroke and post-pc-ASPECTS as strong positive markers of favorable outcome at 90 days post-EVT; and lower rates of inpatient mortality/hospice discharge, 90-day mortality, and 90-day poor outcome were observed. Moreover, patients in the post-ASPECTS ≥ 7 cohort experienced shorter door-to-recanalization time (DRT), puncture-to-recanalization time (PRT), and last known normal-to-puncture time (LKNPT). Conclusion Post-ASPECTS ≥7 in anterior circulation AIS and post-pc-ASPECTS ≥7 in posterior circulation can serve as strong prognostic markers of functional outcome after EVT.
Collapse
Affiliation(s)
- Wenjun Liang
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Angela T H Kwan
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Huifang Ye
- Department of Pharmacy, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Mohammad Mofatteh
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, United Kingdom
| | - Mingzhu Feng
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Jack Wellington
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Pingzhong Fu
- Department of Radiology, Foshan Sanshui District People’s Hospital, Foshan, Guangdong Province, People’s Republic of China
| | - Wenlong Wei
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Yu Sun
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Jianhui Huang
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| | - Jie Luo
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| | - Yimin Chen
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Shuiquan Yang
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Sijie Zhou
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| |
Collapse
|
5
|
Dehkharghani S, Lansberg M, Venkatsubramanian C, Cereda C, Lima F, Coelho H, Rocha F, Qureshi A, Haerian H, Mont'Alverne F, Copeland K, Heit J. High-Performance Automated Anterior Circulation CT Angiographic Clot Detection in Acute Stroke: A Multireader Comparison. Radiology 2021; 298:665-670. [PMID: 33434110 DOI: 10.1148/radiol.2021202734] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background Identification of large vessel occlusion (LVO) is critical to the management of acute ischemic stroke and prerequisite to endovascular therapy in recent trials. Increasing volumes and data complexity compel the development of fast, reliable, and automated tools for LVO detection to facilitate acute imaging triage. Purpose To investigate the performance of an anterior circulation LVO detection platform in a large mixed sample of individuals with and without LVO at cerebrovascular CT angiography (CTA). Materials and Methods In this retrospective analysis, CTA data from recent cerebrovascular trials (CRISP [ClinicalTrials.gov NCT01622517] and DASH) were enriched with local repositories from 11 worldwide sites to balance demographic and technical variables in LVO-positive and LVO-negative examinations. CTA findings were reviewed independently by two neuroradiologists from different institutions for intracranial internal carotid artery (ICA) or middle cerebral artery (MCA) M1 LVO; these observers were blinded to all clinical variables and outcomes. An automated analysis platform was developed and tested for prediction of LVO presence and location relative to reader consensus. Discordance between readers with respect to LVO presence or location was adjudicated by a blinded tertiary reader at a third institution. Sensitivity, specificity, and receiver operating characteristics were assessed by an independent statistician, and subgroup analyses were conducted. Prespecified performance thresholds were set at a lower bound of the 95% CI of sensitivity and specificity of 0.8 or greater at mean times to notification of less than 3.5 minutes. Results A total of 217 study participants (mean age, 64 years ± 16 [standard deviation]; 116 men; 109 with positive findings of LVO) were evaluated. Prespecified performance thresholds were exceeded (sensitivity, 105 of 109 [96%; 95% CI: 91, 99]; specificity, 106 of 108 [98%; 95% CI: 94, 100]). Sensitivity and specificity estimates across age, sex, location, and vendor subgroups exceeded 90%. The area under the receiver operating characteristic curve was 99% (95% CI: 97, 100). Mean processing and notification time was 3 minutes 18 seconds. Conclusion The results confirm the feasibility of fast automated high-performance detection of intracranial internal carotid artery and middle cerebral artery M1 occlusions. © RSNA, 2021 See also the editorial by Kloska in this issue.
Collapse
Affiliation(s)
- Seena Dehkharghani
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Maarten Lansberg
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Chitra Venkatsubramanian
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Carlo Cereda
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Fabricio Lima
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Henrique Coelho
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Felipe Rocha
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Abid Qureshi
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Hafez Haerian
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Francisco Mont'Alverne
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Karen Copeland
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| | - Jeremy Heit
- From the Department of Radiology, New York University Langone Medical Center, 660 First Ave, 2nd Floor, New York, NY 10016 (S.D.); Department of Neurology, Stanford University Hospital, Stanford, Calif (M.L., C.V., J.H.); Department of Neurology, Ente Ospedaliero Cantonale, Lugano, Switzerland (C.C.); Departments of Neurology (F.L., H.C., F.R.) and Radiology (F.M.), Hospital Geral de Fortaleza, Fortaleza, Brazil; Department of Neurology, Kansas University Medical Center, Kansas City, Kan (A.Q.); LifeBridge, Baltimore, Md (H.H.); and Boulder Statistics, Boulder, Colo (K.C.)
| |
Collapse
|
6
|
Stefanou MI, Stadler V, Baku D, Hennersdorf F, Ernemann U, Ziemann U, Poli S, Mengel A. Optimizing Patient Selection for Interhospital Transfer and Endovascular Therapy in Acute Ischemic Stroke: Real-World Data From a Supraregional, Hub-and-Spoke Neurovascular Network in Germany. Front Neurol 2020; 11:600917. [PMID: 33343500 PMCID: PMC7746873 DOI: 10.3389/fneur.2020.600917] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/10/2020] [Indexed: 11/18/2022] Open
Abstract
Background: Interhospital transfer for endovascular treatment (EVT) within neurovascular networks might result in transfer of patients who will not undergo EVT (futile transfer). Limited evidence exists on factors associated with the primary patient selection for interhospital transfer from primary stroke centers (PSCs) to comprehensive stroke centers (CSCs), or EVT-workflow parameters that may render a transfer futile. Methods: A prospective, registry-based study was performed between July 1, 2017 and June 30, 2018, at a hub-and-spoke neurovascular network in southwest Germany, comprising 12 referring PSCs and one designated CSC providing round-the-clock EVT at the University Hospital Tübingen. Patients with acute ischemic stroke due to suspected large artery occlusion (LAO) were included upon emergency interhospital transfer inquiry (ITI). Results: ITI was made for 154 patients, 91 (59%) of whom were transferred to the CSC. Non-transferred patients (41%) had significantly higher premorbid modified Rankin scale scores (mRS) compared to transferred patients [median (IQR): 2 (1–3) vs. 0 (0–1), p < 0.001]. Interhospital transfer was denied due to: distal vessel occlusion (44.4%), or non-verifiable LAO (33.3%) in computed tomography angiography (CTA) upon teleconsultation by CSC neuroradiologists; limited Stroke-Unit or ventilation capacity (9.5%), or limited neuroradiological capacity at the CSC (12.7%). The CT-to-ITI interval was significantly longer in patients denied interhospital transfer [median (IQR): 43 (29–56) min] compared to transferred patients [29 (15–55), p = 0.029]. No further differences in EVT-workflow, and no differences in the 3-month mRS outcomes were noted between non-transferred and transferred patients [median (IQR): 2 (0–5) vs. 3 (1–4), p = 0.189]. After transfer to the CSC, 44 (48%) patients underwent EVT. The Alberta stroke program early CT score [ORadj (95% CI): 1.786 (1.573–2.028), p < 0.001] and the CT-to-ITI interval [0.994 (0.991–0.998), p = 0.001] were significant predictors of the likelihood of EVT performance. Conclusion: Our findings show that hub-and-spoke neurovascular network infrastructures efficiently enable access to EVT to patients with AIS due to LAO, who are primarily admitted to PSCs without on-site EVT availability. As in real-world settings optimal allocation of EVT resources is warranted, teleconsultation by experienced endovascular interventionists and prompt interhospital-transfer-inquiries are crucial to reduce the futile transfer rates and optimize patient selection for EVT within neurovascular networks.
Collapse
Affiliation(s)
- Maria-Ioanna Stefanou
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, Tübingen, Germany.,Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany
| | - Vera Stadler
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, Tübingen, Germany.,Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany
| | - Dominik Baku
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, Tübingen, Germany.,Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany
| | - Florian Hennersdorf
- Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany.,Department of Diagnostic & Interventional Neuroradiology, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Ulrike Ernemann
- Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany.,Department of Diagnostic & Interventional Neuroradiology, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Ulf Ziemann
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, Tübingen, Germany.,Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany
| | - Sven Poli
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, Tübingen, Germany.,Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany
| | - Annerose Mengel
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, Tübingen, Germany.,Centre for Neurovascular Diseases Tübingen, ZNET: Zentrum für neurovaskuläre Erkrankungen Tübingen, Tübingen, Germany
| |
Collapse
|