scholarly journals Novel Prehospital Triage Scale for Detecting Large Vessel Occlusion and Its Cause

2021 ◽  
Author(s):  
Jianan Wang ◽  
Xiaoxian Gong ◽  
Wansi Zhong ◽  
Ying Zhou ◽  
Min Lou
Keyword(s):  
Atrial Fibrillation ◽  
Predictive Value ◽  
Validation Cohort ◽  
Area Under The Curve ◽  
Large Vessel ◽  
Basilar Artery Occlusion ◽  
Youden Index ◽  
Large Vessel Occlusion ◽  
Characteristic Analysis ◽  
Vessel Occlusion

Background Patients with large vessel occlusion stroke (LVOS) need to be rapidly identified and transferred to comprehensive stroke centers. However, current prehospital evaluation and strategies still remain challenging. Methods and Results We retrospectively reviewed our prospectively collected database of patients with acute ischemic stroke (AIS). Based on the items of National Institutes of Health Stroke Scale and medical history that had a strong association with LVOS, we designed the 4‐item Stroke Scale (4I‐SS) and validated it in multi‐centers. The 4I‐SS incorporated gaze, level of consciousness, arm weakness, and atrial fibrillation. Receiver operating characteristic analysis was used to compare the 4I‐SS with previously established prehospital prediction scales. Finally, 1630 and 11 440 patients were included in the derivation and validation cohort, respectively. In the validation cohort, Youden Index, area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the 4I‐SS≥4 to predict LVOS were 0.494, 0.800, 0.657, 0.837, 0.600, 0.868, and 0.788, respectively, and that of the 4I‐SS≥7 to predict basilar artery occlusion were 0.200, 0.669, 0.229, 0.971, 0.066, 0.974, and 0.899, respectively. Youden Index and area under the curve were higher than previously published scales for predicting LVOS. Further analysis showed that for predicting whether cardiogenic embolism was the cause, its accuracy was 0.922 when the 4I‐SS score, including atrial fibrillation, was ≥6, and its accuracy of predicting the occluded vessel was intracranial internal carotid artery or M1 segment of the middle cerebral artery when it was ≥7 was 0.590. Conclusions The 4I‐SS is an effective and simple tool that can identify LVOS and its cause. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03317639.

First pass effect in patients with large vessel occlusion strokes undergoing neurothrombectomy: insights from the Trevo Retriever Registry

2021 ◽  
pp. neurintsurg-2020-016952
Author(s):  
Ashutosh P Jadhav ◽  
Shashvat M Desai ◽  
Ronald F Budzik ◽  
Rishi Gupta ◽  
Blaise Baxter ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Basilar Artery ◽  
Artery Occlusion ◽  
Large Vessel ◽  
Basilar Artery Occlusion ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Single Pass ◽  
First Pass Effect ◽  
First Pass

BackgroundFirst pass effect (FPE), defined as near-total/total reperfusion of the territory (modified Thrombolysis in Cerebral Infarction (mTICI) 2c/3) of the occluded artery after a single thrombectomy attempt (single pass), has been associated with superior safety and efficacy outcomes than in patients not experiencing FPE.ObjectiveTo characterize the clinical features, incidence, and predictors of FPE in the anterior and posterior circulation among patients enrolled in the Trevo Registry.MethodsData were analyzed from the Trevo Retriever Registry. Univariate and multivariable analyses were used to assess the relationship of patient (demographics, clinical, occlusion location, collateral grade, Alberta Stroke Program Early CT Score (ASPECTS)) and device/technique characteristics with FPE (mTICI 2c/3 after single pass).ResultsFPE was achieved in 27.8% (378/1358) of patients undergoing anterior large vessel occlusion (LVO) thrombectomy. Multivariable regression analysis identified American Society of Interventional and Therapeutic Neuroradiology (ASITN) levels 2–4, higher ASPECTS, and presence of atrial fibrillation as independent predictors of FPE in anterior LVO thrombectomy. Rates of modified Rankin Scale (mRS) score 0–2 at 90 days were higher (63.9% vs 53.5%, p<0.0006), and 90-day mortality (11.4% vs 12.8%, p=0.49) was comparable in the FPE group and non-FPE group. Rate of FPE was 23.8% (19/80) among basilar artery occlusion strokes, and outcomes were similar between FPE and non-FPE groups (mRS score 0–2, 47.4% vs 52.5%, p=0.70; mortality 26.3% vs 18.0%, p=0.43). Notably, there were no difference in outcomes in FPE versus non-FPE mTICI 2c/3 patients.ConclusionTwenty-eight percent of patients undergoing anterior LVO thrombectomy and 24% of patients undergoing basilar artery occlusion thrombectomy experience FPE. Independent predictors of FPE in anterior circulation LVO thrombectomy include higher ASITN levels, higher ASPECTS, and the presence of atrial fibrillation.

scholarly journals Utility of Leptomeningeal Collaterals in Predicting Intracranial Atherosclerosis-Related Large Vessel Occlusion in Endovascular Treatment

2020 ◽  
Vol 9 (9) ◽  
pp. 2784 ◽  
Author(s):  
Jang-Hyun Baek ◽  
Byung Moon Kim ◽  
Jin Woo Kim ◽  
Dong Joon Kim ◽  
Ji Hoe Heo ◽  
...  
Keyword(s):  
Endovascular Treatment ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Large Vessel ◽  
Intracranial Atherosclerosis ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
High Negative Predictive Value ◽  
Independent Association

Earlier or preprocedural identification of occlusion pathomechanism is crucial for effective endovascular treatment. As leptomeningeal collaterals tend to develop well in chronic ischemic conditions such as intracranial atherosclerosis (ICAS), we investigated whether leptomeningeal collaterals can be a preprocedural marker of ICAS-related large vessel occlusion (ICAS-LVO) in endovascular treatment. A total of 226 patients who underwent endovascular treatment were retrospectively reviewed. We compared the pattern of leptomeningeal collaterals between patients with ICAS-LVO and without. Leptomeningeal collaterals were assessed by preprocedural computed tomography angiography (CTA) and basically categorized by three different collateral assessment methods. Better leptomeningeal collaterals were significantly associated with ICAS-LVO, although they were not independent for ICAS-LVO. When leptomeningeal collaterals were dichotomized to incomplete (<100%) and complete (100%), the latter was significantly more frequent in patients with ICAS-LVO (52.5% versus 20.4%) and remained an independent factor for ICAS-LVO (odds ratio, 3.32; 95% confidence interval, 1.52–7.26; p = 0.003). The area under the curve (AUC) value of complete leptomeningeal collateral supply was 0.660 for discrimination of ICAS-LVO. Incomplete leptomeningeal collateral supply was not likely ICAS-LVO, based on the high negative predictive value (88.6%). Considering its negative predictive value and the independent association between complete leptomeningeal collateral supply and ICAS-LVO, leptomeningeal collaterals could be helpful in the preprocedural determination of occlusion pathomechanism.

Abstract 1122‐000108: AI‐Software Detection of Large Vessel Occlusion Stroke on CTA: Real‐World Diagnostic Test Accuracy Study

2021 ◽  
Vol 1 (S1) ◽  
Author(s):  
Stavros Matsoukas ◽  
Jacob Morrey ◽  
Gregory Lock ◽  
Deeksha Chada ◽  
Tomoyoshi Shigematsu ◽  
...  
Keyword(s):  
Negative Predictive Value ◽  
Real World ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Large Vessel ◽  
Test Accuracy ◽  
Index Test ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Actual Performance

Introduction : The treatment for large vessel occlusion (LVO) stroke has significantly improved in recent years with the advent of endovascular therapy (EVT). The triage of LVOs requires rapid completion, interpretation, and communication of neuroimaging. Historically, these steps were performed manually, potentially leading to treatment delays. A computer‐aided triage software, Viz LVO, streamlines this process by providing a(n) image viewer, communication system, and artificial intelligence‐based algorithm that automatically detects LVOs and alerts appropriate teams. However, the actual performance is yet to be determined. We sought to determine the real‐world accuracy of Viz LVO in a large, tiered hub and spoke healthcare network. Methods : All consecutive head and neck computed tomography angiography (CTA) scans that were performed in the context of stroke codes and read by Viz LVO during the period of May 2019 to October 2020 were included. CTA impressions provided by radiologists served as the clinical reference standard test and Viz output served as the index test. Results : Of the 5,381 stroke codes, 1,822 had a CTA read by Viz LVO and were analyzed. Impression was negative for occlusion in 1,632 CTAs. Of the 190 occlusions, only 142 were ICA‐T, M1, or M2 and constituted the LVO population of our study. Accuracy metrics were analyzed for two different subgroups. For the ICA‐T, M1, and M2 subgroup, the algorithm yielded 74.6% sensitivity, 91.1% specificity, 97.6% negative predictive value, 89.8% accuracy and 0.86 area under the curve. Excluding M2 for the analysis, the accuracy metrics were 93.8%, 91.1%, 99.7%, 91.2% and 0.95, respectively. Sensitivity for ICA‐T, M1, and M2 occlusions was 100%, 93%, and 49%, respectively. Importantly, the algorithm has better sensitivity for proximal M2 occlusions (58%) compared to mid/distal M2 occlusions (28%), P<0.03. Conclusions : High sensitivity and negative predictive value allows Viz LVO to be a powerful adjunct tool in stroke diagnostics. The fast and accurate diagnosis can potentially save time and help identify difficult cases in the clinical setting.

Clot imaging characteristics predict first pass effect of aspiration—first approach to thrombectomy

2021 ◽  
pp. 159101992110191
Author(s):  
Muhammad Waqas ◽  
Weizhe Li ◽  
Tatsat R Patel ◽  
Felix Chin ◽  
Vincent M Tutino ◽  
...  
Keyword(s):  
Internal Carotid ◽  
Validation Cohort ◽  
Area Under The Curve ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
First Pass Effect ◽  
Imaging Characteristics ◽  
First Pass ◽  
Sensitivity Specificity ◽  
Youden’S Index

Background The value of clot imaging in patients with emergent large vessel occlusion (ELVO) treated with thrombectomy is unknown. Methods We performed retrospective analysis of clot imaging (clot density, perviousness, length, diameter, distance to the internal carotid artery (ICA) terminus and angle of interaction (AOI) between clot and the aspiration catheter) of consecutive cases of middle cerebral artery (MCA) occlusion and its association with first pass effect (FPE, TICI 2c-3 after a first attempt). Results Patients ( n = 90 total) with FPE had shorter clot length (9.9 ± 4.5 mm vs. 11.7 ± 4.6 mm, P = 0.07), shorter distance from ICA terminus (11.0 ± 7.1 mm vs. 14.7 ± 9.8 mm, P = 0.048), higher perviousness (39.39 ± 29.5 vs 25.43 ± 17.6, P = 0.006) and larger AOI (153.6 ± 17.6 vs 140.3 ± 23.5, P = 0.004) compared to no-FPE patients. In multivariate analysis, distance from ICA terminus to clot ≤13.5 mm (odds ratio (OR) 11.05, 95% confidence interval (CI) 2.65–46.15, P = 0.001), clot length ≤9.9 mm (OR 7.34; 95% CI 1.8–29.96, P = 0.005), perviousness ≥ 19.9 (OR 2.54, 95% CI 0.84–7.6, P = 0.09) and AOI ≥ 137°^ (OR 6.8, 95% CI 1.55–29.8, P = 0.011) were independent predictors of FPE. The optimal cut off derived using Youden’s index was 6.5. The area under the curve of a score predictive of FPE success was 0.816 (0.728–0.904, P < 0.001). In a validation cohort ( n = 30), sensitivity, specificity, positive and negative predictive value of a score of 6–10 were 72.7%, 73.6%, 61.5% and 82.3%. Conclusions Clot imaging predicts the likelihood of achieving FPE in patients with MCA ELVO treated with the aspiration-first approach.

Abstract P558: Identification of Embolic Stroke in Patients With Large Vessel Occlusion

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Lan Hong ◽  
Longting Lin ◽  
Gang Li ◽  
Jianhong Yang ◽  
Geng Yu ◽  
...  
Keyword(s):  
Perfusion Imaging ◽  
Delay Time ◽  
Validation Cohort ◽  
Embolic Stroke ◽  
Large Vessel ◽  
Smoking History ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Derivation Cohort ◽  
History Of

Objective: To develop a simple and objective score using clinical variables and quantified perfusion measures to identify embolic stroke with large vessel occlusions. Methods: Eligible patients from the Chinese centers participating in the International Stroke Perfusion Imaging Registry were included in this study. Patients were split into a derivation cohort (n=213) and a validation cohort (n=116). A score was developed according to the coefficients of independent predictors of embolic stroke from stepwise logistic regression model in the derivation cohort. The performance of the score was validated by assessing its discrimination and calibration. Additionally, a comparison between the area under curve (AUC) of history of atrial fibrillation (AF) alone and history of AF plus the score was also conducted. Results: The independent predictors of embolic stroke made up the Chinese Embolic Stroke Score (CHESS). There were: age (≥64 years, 1 point), non-smoking history (1 point), non-hypertension history (1 point) , baseline NIH Stroke Scale (≥14, 1 point) and delay time>6s volume/delay time>3s volume on perfusion imaging (≥0.23, 2 points). The AUC of CHESS in the derivation cohort and validation cohort were 0.80 and 0.72 respectively. Calibration tests indicated high agreement between predicted and observed probabilities. The AUC of AF-plus-CHESS compared to history of AF alone was significant (derivation cohort P<0.001; validation cohort P=0.01). Conclusions: In a Chinese population, CHESS reliably and independently identified embolic stroke as the cause of large vessel occlusion.

scholarly journals Pomona Large Vessel Occlusion Screening Tool for Prehospital and Emergency Room Settings

2018 ◽  
Vol 7 (3-4) ◽  
pp. 196-203 ◽  
Author(s):  
Kessarin Panichpisal ◽  
Kenneth Nugent ◽  
Maharaj Singh ◽  
Richard Rovin ◽  
Reji Babygirija ◽  
...  
Keyword(s):  
Los Angeles ◽  
Acute Stroke ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Predictive Performance ◽  
Large Vessel ◽  
Stroke Severity ◽  
Vessel Occlusion ◽  
Comparable Accuracy ◽  
Score Model

Background: Early identification of patients with acute ischemic strokes due to large vessel occlusions (LVO) is critical. We propose a simple risk score model to predict LVO. Method: The proposed scale (Pomona Scale) ranges from 0 to 3 and includes 3 items: gaze deviation, expressive aphasia, and neglect. We reviewed a cohort of all acute stroke activation patients between February 2014 and January 2016. The predictive performance of the Pomona Scale was determined and compared with several National Institutes of Health Stroke Scale (NIHSS) cutoffs (≥4, ≥6, ≥8, and ≥10), the Los Angeles Motor Scale (LAMS), the Cincinnati Prehospital Stroke Severity (CPSS) scale, the Vision Aphasia and Neglect Scale (VAN), and the Prehospital Acute Stroke Severity Scale (PASS). Results: LVO was detected in 94 of 776 acute stroke activations (12%). A Pomona Scale ≥2 had comparable accuracy to predict LVO as the VAN and CPSS scales and higher accuracy than Pomona Scale ≥1, LAMS, PASS, and NIHSS. A Pomona Scale ≥2 had an accuracy (area under the curve) of 0.79, a sensitivity of 0.86, a specificity of 0.70, a positive predictive value of 0.71, and a negative predictive value of 0.97 for the detection of LVO. We also found that the presence of either neglect or gaze deviation alone had comparable accuracy of 0.79 as Pomona Scale ≥2 to detect LVO. Conclusion: The Pomona Scale is a simple and accurate scale to predict LVO. In addition, the presence of either gaze deviation or neglect also suggests the possibility of LVO.

Abstract TP237: Can We Improve Clinical Detection of Right Hemisphere Large Vessel Occlusion?

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Sana Somani ◽  
Melissa Gazi ◽  
Michael Minor ◽  
Joe Acker ◽  
Abimbola Fadairo ◽  
...  
Keyword(s):  
Left Hemisphere ◽  
Right Hemisphere ◽  
Trauma System ◽  
Area Under The Curve ◽  
Large Vessel ◽  
Stroke Severity ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Emergency Medical ◽  
The Right

Introduction: The Emergency Medical Stroke Assessment (EMSA) is a six point stroke severity scale with one point each for gaze preference, facial droop, arm drift, leg drift, abnormal naming, and abnormal repetition that was developed to help emergency medical services (EMS) providers identify acute ischemic stroke (AIS) patients with large vessel occlusion (LVO). We hypothesized that the EMSA would detect left hemisphere LVO with a higher sensitivity than right hemisphere LVO. Methods: We trained 24 trauma system-based emergency communication center (ECC) paramedics in the EMSA. ECC-guided EMS in performance of the EMSA on patients with suspected stroke. We compared the sensitivity, specificity, area under the curve (AUC), and 95% confidence interval (CI) of ECC-guided prehospital EMSA for right versus left hemisphere ICA or M1 occlusion. Results: We enrolled 569 patients from September 2016 through February 2018, out of which 236 had a discharge diagnosis of stroke and 173 had a diagnosis of AIS. We excluded patients with bilateral (n=21) and brainstem (n=21) AIS. There were 64 patients with left hemisphere AIS including 19 with LVO. There were 67 patients with right hemisphere AIS including 22 with LVO. A score of ≥ 4 points yielded a sensitivity of 84.2 (95% CI = 60.4-96.6) and specificity of 66.7 (51.1-80.0) for left hemisphere LVO compared to a sensitivity of 68.2 (45.1-86.1) and specificity of 73.9 (58.9-85.7) for right hemisphere LVO. For predicting a left hemisphere LVO, the AUC was 0.77 (0.65-0.90) compared to 0.66 (0.50-0.82) for right-sided LVO. Assigning 2 points for abnormal gaze yielded an AUC of 0.78 (0.66-0.91) versus 0.67 (0.52-0.83) for left and right hemisphere LVO, respectively. Conclusions: The EMSA, like the National Institutes of Health Stroke Scale (NIHSS) upon which it is based, is more sensitive to left compared to right hemisphere LVO. More heavily weighting abnormal gaze did not improve the sensitivity of the EMSA for right hemisphere LVO. There is no comparable data on the right versus left hemisphere performance of other prehospital scales. There is a need to develop sensitive tests of right hemisphere dysfunction that are suitable for use in the field.

Effect of Known Atrial Fibrillation and Anticoagulation Status on the Prehospital Identification of Large Vessel Occlusion

2019 ◽  
Vol 28 (12) ◽  
pp. 104404 ◽  
Author(s):  
Parneet Grewal ◽  
Sourabh Lahoti ◽  
Sushanth Aroor ◽  
Kaitlin Snyder ◽  
Luther C. Pettigrew ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion

scholarly journals Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion

2021 ◽  
Vol 23 (2) ◽  
pp. 244-252
Author(s):  
Young Dae Kim ◽  
Hyo Suk Nam ◽  
Joonsang Yoo ◽  
Hyungjong Park ◽  
Sung-Il Sohn ◽  
...  
Keyword(s):  
High Performance ◽  
Validation Cohort ◽  
Intravenous Thrombolysis ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Stroke Patients ◽  
Vessel Occlusion ◽  
Derivation Cohort ◽  
Factors Associated ◽  
Intravenous Tissue Plasminogen Activator

Background and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.Methods Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.Results Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; <i>P</i>=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; <i>P</i>=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; <i>P</i>=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; <i>P</i>=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; <i>P</i>=0.032).Conclusions The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.

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