scholarly journals A novel biomarker-based prognostic score in acute ischemic stroke

Neurology ◽  
2019 ◽  
Vol 92 (13) ◽  
pp. e1517-e1525 ◽  
Author(s):  
Gian Marco De Marchis ◽  
Theresa Dankowski ◽  
Inke R. König ◽  
Joachim Fladt ◽  
Felix Fluri ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Prognostic Score ◽  
Unfavorable Outcome ◽  
University Hospital ◽  
Derivation Cohort ◽  
The University ◽  
Better Than

ObjectivesTo derive and externally validate a copeptin-based parsimonious score to predict unfavorable outcome 3 months after an acute ischemic stroke (AIS).MethodsThe derivation cohort consisted of patients with AIS enrolled prospectively at the University Hospital Basel, Switzerland. The validation cohort was prospectively enrolled after the derivation cohort at the University Hospital of Bern and University Hospital Basel, Switzerland, as well as Frankfurt a.M., Germany. The score components were copeptin levels, age, NIH Stroke Scale, and recanalization therapy (CoRisk score). Copeptin levels were measured in plasma drawn within 24 hours of AIS and before any recanalization therapy. The primary outcome of disability and death at 3 months was defined as modified Rankin Scale score of 3 to 6.ResultsOverall, 1,102 patients were included in the analysis; the derivation cohort contributed 319 patients, and the validation cohort contributed 783. An unfavorable outcome was observed among 436 patients (40%). For the 3-month prediction of disability and death, the CoRisk score was well calibrated in the validation cohort, for which the area under the receiver operating characteristic curve was 0.819 (95% confidence interval [CI] 0.787–0.849). The calibrated CoRisk score correctly classified 75% of patients (95% CI 72–78). The net reclassification index between the calibrated CoRisk scores with and without copeptin was 46% (95% CI 32–60).ConclusionsThe biomarker-based CoRisk score for the prediction of disability and death was externally validated, was well calibrated, and performed better than the same score without copeptin.ClinicalTrials.gov identifierNCT00390962 (derivation cohort) and NCT00878813 (validation cohort).

Abstract TMP85: Predictive Score of Hemorrhagic Transformation in Patients Not Submitted to Reperfusion Therapies - PROpHET

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Joao B Andrade ◽  
Gisele S Silva ◽  
Jay P Mohr ◽  
Joao J Carvalho ◽  
Luisa Franciscatto ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Reperfusion Therapy ◽  
Predictive Score ◽  
Brier Score ◽  
Multivariable Logistic Regression Model ◽  
Derivation Cohort ◽  
Digital Version

Objective: To create an accurate and user-friendly pr edictive sc o re for he morrhagic t ransformation in patients not submitted to reperfusion therapies (PROpHET). Methods: We created a multivariable logistic regression model to assess the prediction of Hemorrhage Transformation (HT) for acute ischemic strokes not treated with reperfusion therapy. One point was assigned for each of gender, cardio-aortic embolism, hyperdense middle cerebral artery sign, leukoaraiosis, hyperglycemia, 2 points for ASPECTS ≤7, and -3 points for lacunar syndrome. Acute ischemic stroke patients admitted to the Fortaleza Comprehensive Stroke Center in Brazil from 2015 to 2017 were randomly selected to the derivation cohort. The validation cohort included similar, but not randomized, cases from 5 Brazilian and one American Comprehensive Stroke Centers. Symptomatic cases were defined as NIHSS ≥4 at 24 hours after the event. Results from the derivation and validation cohorts were assessed with the area under the receiver operating characteristic curve (AUC-ROC). Results: From 2,432 of acute ischemic stroke screened in Fortaleza, 448 were prospectively selected for the derivation cohort and a 7-day follow-up. From 1,847 not selected, 577 underwent reperfusion therapy, 734 were excluded due to inadequate imaging or refusal of consent, and 538 whose data were obtained retrospectively and were selected only for the validation cohort. A score ≥3 had 78% sensitivity and 75% specificity, AUC-ROC 0.82 for all cases of HT, Hosmer-Lemeshow 0.85, Brier Score 0.1, and AUC-ROC 0.83 for those with symptomatic HT. An AUC-ROC of 0.84 was found for the validation cohort of 1,910 from all 6 centers, and a score ≥3 was found in 65% of patients with HT against 11.3% of those without HT. In comparison with 8 published predictive scores of HT, PROpHET was the most accurate (p < 0.01). Conclusions: PROpHET offers a tool simple, quick and easy-to-perform to estimate risk stratification of HT in patients not submitted to RT. A digital version of PROpHET is available in www.score-prophet.com Classification of evidence: This study provides Class I evidence from prospective data acquisition.

Endovascular stroke therapy may be safe in patients with elevated international normalized ratio

2016 ◽  
Vol 9 (12) ◽  
pp. 1187-1190 ◽  
Author(s):  
Sibu Mundiyanapurath ◽  
Anne Tillmann ◽  
Markus Alfred Möhlenbruch ◽  
Martin Bendszus ◽  
Peter Arthur Ringleb
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Endovascular Therapy ◽  
Tertiary Care ◽  
Multivariable Analysis ◽  
International Normalized Ratio ◽  
Unfavorable Outcome ◽  
Favorable Outcome ◽  
University Hospital ◽  
Increased Risk

IntroductionEndovascular therapy in acute ischemic stroke is safe and efficient. However, patients receiving oral anticoagulation were excluded in the larger trials.ObjectiveTo analyze the safety of endovascular therapy in patients with acute ischemic stroke and elevated international normalized ratio (INR) values.MethodsRetrospective database review of a tertiary care university hospital for patients with anterior circulation stroke treated with endovascular therapy. Patients with anticoagulation other than vitamin K antagonists were excluded. The primary safety endpoint was defined as symptomatic intracranial hemorrhage (sICH; ECASS II definition). The efficacy endpoint was the modified Rankin scale (mRS) score after 3 months, dichotomized into favorable outcome (mRS 0–2) and unfavorable outcome (mRS 3–6).Results435 patients were included. 90% were treated with stent retriever. 27 (6.2%) patients with an INR of 1.2–1.7 and 21 (4.8%) with an INR >1.7. 33 (7.6%) had sICH and 149 patients (34.3%) had a favorable outcome. Patients with an elevated INR did not have an increased risk for sICH or unfavorable outcome in multivariable analysis. The additional use of IV thrombolysis in patients with an INR of 1.2–1.7 did not increase the risk of sICH or unfavorable outcome. These results were replicated in a sensitivity analysis introducing an error of the INR of ±5%. They were also confirmed using other sICH definitions (Safe Implementation of Thrombolysis in Stroke (SITS), National Institute of neurological Disorders and Stroke (NINDS), Heidelberg bleeding classification).ConclusionsEndovascular therapy in patients with an elevated INR is safe and efficient. Patients with an INR of 1.2–1.7 may be treated with combined IV thrombolysis and endovascular therapy.

Abstract 164: Outcome Prediction After Endovascular Reperfusion Therapy For Acute Ischemic Stroke: The SNARL Score

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Shyam Prabhakaran ◽  
Kevin N Sheth ◽  
John B Terry ◽  
Raul G Nogueira ◽  
Anat Horev ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Outcome Prediction ◽  
Validation Cohort ◽  
Reperfusion Therapy ◽  
Anterior Circulation ◽  
Derivation Cohort ◽  
Good Outcome ◽  
C Statistic ◽  
Pre Treatment

Background: Tools to predict outcome after endovascular reperfusion therapy (ERT) for acute ischemic stroke (AIS) have previously included only pre-treatment variables. We sought to derive and validate an outcome prediction score based on readily available pre-treatment and treatment factors. Methods: The derivation cohort consisted of 516 patients with anterior circulation AIS from 9 centers from September 2009-July 2011. The validation cohort consisted of 110 patients with anterior circulation AIS from the Penumbra Pivotal Trial. Multivariable logistic regression identified predictors of good outcome, defined as a modified Rankin Score (mRS) of < 2, in the derivation sample; model beta coefficients were used to assign point scores. Discrimination was tested using C-statistics. We then validated the score in the Penumbra cohort and performed calibration (predicted versus observed good outcome) in both cohorts. Results: Good outcome at 3 months was noted in 189 (36.8%) patients in the derivation cohort. The independent predictors of good outcome were A ge (2 pts: <60; 1 pt: 60-79; 0 pts: >79), N IHSS score (4 pts: 0-10; 2 pts: 11-20; 0 pts: > 20), L ocation of clot (2 pts: M2; 1 pt: M1; 0 pts: ICA), R ecanalization (5 pts: TICI 2 or 3), and S ymptomatic hemorrhage (2 pts: none, HT1-2, or PH1; 0 pts: PH2). The outcome (SNARL) score demonstrated good discrimination in the derivation cohort (C-statistic 0.78, 95% CI 0.72-0.78) and validation cohort (C-statistic 0.74, 95% CI 0.64-0.84). There was excellent calibration in each cohort (Figure). Conclusions: The SNARL score is a validated tool to determine the probability of functional recovery among AIS treated with endovascular reperfusion strategies. Unlike previous scores that did not include treatment factors such as successful recanalization or hemorrhagic complications, our score can be applied to patients after treatment and may provide guidance to physicians, patients, and families about expected functional outcome.

scholarly journals Individualized predictions of early isolated distal deep vein thrombosis in patients with acute ischemic stroke: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hao-Ran Cheng ◽  
Gui-Qian Huang ◽  
Zi-Qian Wu ◽  
Yue-Min Wu ◽  
Gang-Qiang Lin ◽  
...  
Keyword(s):  
Deep Vein Thrombosis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Training Cohort ◽  
Vein Thrombosis ◽  
Distal Deep Vein Thrombosis ◽  
Deep Vein

Abstract Background Although isolated distal deep vein thrombosis (IDDVT) is a clinical complication for acute ischemic stroke (AIS) patients, very few clinicians value it and few methods can predict early IDDVT. This study aimed to establish and validate an individualized predictive nomogram for the risk of early IDDVT in AIS patients. Methods This study enrolled 647 consecutive AIS patients who were randomly divided into a training cohort (n = 431) and a validation cohort (n = 216). Based on logistic analyses in training cohort, a nomogram was constructed to predict early IDDVT. The nomogram was then validated using area under the receiver operating characteristic curve (AUROC) and calibration plots. Results The multivariate logistic regression analysis revealed that age, gender, lower limb paralysis, current pneumonia, atrial fibrillation and malignant tumor were independent risk factors of early IDDVT; these variables were integrated to construct the nomogram. Calibration plots revealed acceptable agreement between the predicted and actual IDDVT probabilities in both the training and validation cohorts. The nomogram had AUROC values of 0.767 (95% CI: 0.742–0.806) and 0.820 (95% CI: 0.762–0.869) in the training and validation cohorts, respectively. Additionally, in the validation cohort, the AUROC of the nomogram was higher than those of the other scores for predicting IDDVT. Conclusions The present nomogram provides clinicians with a novel and easy-to-use tool for the prediction of the individualized risk of IDDVT in the early stages of AIS, which would be helpful to initiate imaging examination and interventions timely.

Mechanical thrombectomy as a method of causative stroke treatment– own experience

2017 ◽  
Vol 5 ◽  
pp. 17-26
Author(s):  
Agnieszka Słowik ◽  
Paweł Brzegowy ◽  
Dorota Włoch-Kopeć ◽  
Joanna Chrzanowska-Waśko ◽  
Aleksandra Golenia ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Mechanical Thrombectomy ◽  
Hemorrhagic Transformation ◽  
Stroke Onset ◽  
University Hospital ◽  
Stroke Treatment ◽  
The University ◽  
Mean Time ◽  
Efficacy Profile

We present own results of the treatment of acute ischemic stroke by mechanical thrombectomy. Procedures were conducted in the Center for Acute Ischemic Stroke Treatment (CITO) at the University Hospital in Krakow that was established for this study. The Center works in the 24/7 system, and according to the protocol 6 professionals who participate in the procedure starts it within 45 minutes after the call of the Center coordinator. Since January the 1st 2013 till September the 30th 2016, 96 procedures were performed. Three months followup was performed in the consecutive 74 patients (39 men), mean age: 65,8±13,1 and here we present their data. Mean NIHSS score on admission was 15,4±4,2 points. In 46 patients (62.2%) mechanical thrombectomy was preceded by rt-PA-IV administration. Mean time from stroke onset to groin puncture was 265±88,5 minutes. After the procedure TICI=3 was obtained by 26 patients (35.1%), 2b – by 12 patients (16.2%), 2a – 19 patients (25.7%), 1 – 8 patients (10.8%) and 0 – by 9 patients (12.2%). Head CT scan done 24 hours after thrombectomy did not show hemorrhagic transformation in 37 patients. According to ECASS1 classification HI1 was found in 11 patients (14.9%), H12 – in 16 patients (21.6%), PH1 – in 4 patients (5.4%) and PH2 – in 6 patients (8.1%). Fourteen patients (18.9%) died within 90 days after stroke onset, and 38 – scored 80-100 points in Barthel Index (51.4%). Presented results indicate similar safety and efficacy profile of mechanical thrombectomy in the treatment of ischemic stroke performed in the system that was organized for this specific reason.

scholarly journals FLAIR and ADC Image-Based Radiomics Features as Predictive Biomarkers of Unfavorable Outcome in Patients With Acute Ischemic Stroke

2021 ◽  
Vol 15 ◽  
Author(s):  
Guanmin Quan ◽  
Ranran Ban ◽  
Jia-Liang Ren ◽  
Yawu Liu ◽  
Weiwei Wang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
Characteristic Curve ◽  
External Validation ◽  
Predictive Biomarkers ◽  
Unfavorable Outcome ◽  
Combined Model ◽  
Clinical Model ◽  
Conventional Mri

At present, it is still challenging to predict the clinical outcome of acute ischemic stroke (AIS). In this retrospective study, we explored whether radiomics features extracted from fluid-attenuated inversion recovery (FLAIR) and apparent diffusion coefficient (ADC) images can predict clinical outcome of patients with AIS. Patients with AIS were divided into a training (n = 110) and an external validation (n = 80) sets. A total of 753 radiomics features were extracted from each FLAIR and ADC image of the 190 patients. Interquartile range (IQR), Wilcoxon rank sum test, and least absolute shrinkage and selection operator (LASSO) were used to reduce the feature dimension. The six strongest radiomics features were related to an unfavorable outcome of AIS. A logistic regression analysis was employed for selection of potential predominating clinical and conventional magnetic resonance imaging (MRI) factors. Subsequently, we developed several models based on clinical and conventional MRI factors and radiomics features to predict the outcome of AIS patients. For predicting unfavorable outcome [modified Rankin scale (mRS) &gt; 2] in the training set, the area under the receiver operating characteristic curve (AUC) of ADC radiomics model was 0.772, FLAIR radiomics model 0.731, ADC and FLAIR radiomics model 0.815, clinical model 0.791, and clinical and conventional MRI model 0.782. In the external validation set, the AUCs for the prediction with ADC radiomics model was 0.792, FLAIR radiomics model 0.707, ADC and FLAIR radiomics model 0.825, clinical model 0.763, and clinical and conventional MRI model 0.751. When adding radiomics features to the combined model, the AUCs for predicting unfavorable outcome in the training and external validation sets were 0.926 and 0.864, respectively. Our results indicate that the radiomics features extracted from FLAIR and ADC can be instrumental biomarkers to predict unfavorable clinical outcome of AIS and would additionally improve predictive performance when adding to combined model.

scholarly journals Multiple-Factor Analyses of Futile Recanalization in Acute Ischemic Stroke Patients Treated With Mechanical Thrombectomy

2021 ◽  
Vol 12 ◽  
Author(s):  
Hui Pan ◽  
Changchun Lin ◽  
Lina Chen ◽  
Yuan Qiao ◽  
Peisheng Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Prediction Model ◽  
Acute Ischemic Stroke ◽  
Collateral Circulation ◽  
Mechanical Thrombectomy ◽  
Validation Cohort ◽  
Regression Analyses ◽  
Nihss Score ◽  
Derivation Cohort

Background and Purpose: Acute ischemic stroke (AIS) is a serious threat to the life and health of middle-aged and elderly people. Mechanical thrombectomy offers the advantages of rapid recanalization, but the response of patients to this treatment varies greatly. This study investigated the risk factors for futile recanalization in AIS patients after thrombectomy through multivariate analyses.Methods: A retrospective study was conducted in AIS patients with anterior circulation occlusion from a derivation cohort and a validation cohort who underwent thrombectomy and reperfusion defined as a modified Thrombolysis in Cerebral Infarction (mTICI) score of 2b/3. Using the modified Rankin Scale (mRS) at 90 days after the operation, the patients were divided into two groups, the meaningful recanalization group (mRS ≤ 2), and the futile recanalization group (mRS &gt; 2). Multivariate logistic regression analyses were performed, and the receiver operating characteristic (ROC) curve was used to construct a risk prediction model for futile recanalization. The performance of prediction model was evaluated on the validation cohort.Results: A total of 140 patients in the derivation cohort were enrolled, 46 patients in the meaningful recanalization group and 94 patients in the futile recanalization group. The two groups were significantly different in age, preoperative National Institute of Health Stroke Scale (NIHSS) score, and collateral circulation ASITN/SIR grade (P &lt; 0.05). In multivariate regression analyses, patients' age ≥ 71, NIHSS ≥ 12, and ASITN/SIR ≤ 3 were risk factors for futile recanalization. Hence, an ANA (Age-NIHSS-ASITN/SIR) score scale consisting of age, NIHSS score, and ASITN/SIR grade factors can effectively predict the risk for futile recanalization (area under curve 0.75, 95% CI 0.67–0.83, specificity 67.4%, and sensitivity 73.4%). The proportion of patients with futile recanalization in ANA groups 0, 1, 2, and 3 were 21.05, 56.76, 79.03, and 90.91%, respectively. Furthermore, ANA score scale had also a good performance for predicting futile recanalization on the validation cohort.Conclusions: Old age, high baseline NIHSS, and poor collateral circulation are risk factors for futile recanalization in AIS patients treated with thrombectomy. An ANA score that considers age, NIHSS, and collateral ASITN/SIR can effectively predict the risk for futile recanalization. Further studies with a larger sample size are needed to validate the prognostic value of this combined score for futile recanalization.

scholarly journals Validity of neuron-specific enolase as a prognostic tool in acute ischemic stroke in adults at Suez Canal University Hospital

2021 ◽  
Vol 57 (1) ◽  
Author(s):  
Mohammed H. Shash ◽  
Reda Abdelrazek ◽  
Nashwa M. Abdelgeleel ◽  
Rasha M. Ahmed ◽  
Adel H. El-baih
Keyword(s):  
Ischemic Stroke ◽  
Serum Level ◽  
Acute Ischemic Stroke ◽  
Cell Damage ◽  
Neuron Specific Enolase ◽  
Clinical Severity ◽  
University Hospital ◽  
Short Term ◽  
Prediction Of Mortality ◽  
Death Group

Abstract Background Biological markers of acute nerve cell damage can assist in the outcome of acute ischemic stroke, such as neuron-specific enolase (NSE) that have been tested for association with initial severity of stroke, extent of infarction, and functional outcome. Objective To determine short-term prognostic value of the biochemical marker neuron-specific enolase (NSE) in acute ischemic stroke. Methods A cohort study carried out on 37 patients with acute ischemic stroke. Data were gathered in a prepared data sheet. Initial serum NSE level was measured to the patients in the Emergency department within 6 h of the onset of stroke and another measurement after 48 h. National Institute of Health Stroke Scale (NIHSS) was held to the patients at presentation and after 28 days of stroke to determine short-term morbidity and mortality. Results Out of the 37 patients, 31 patients survived (no-death group) and 6 patients died (death group). The mean serum level of neuron-specific enolase at presentation and after 48 h was significantly higher in the death group than in the no-death group. There was a statistically significant positive correlation between neuron-specific enolase (NSE) serum level and clinical severity of stroke (NIHSS) among the patients at presentation (r = 0.737, p = 0.000). Conclusion Neuron-specific enolase (NSE) can be applied as single independent marker for prediction of mortality and short-term morbidity in ischemic stroke patients.

scholarly journals Recanalisation theraphy for acute ischemic stroke in cancer patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giovanni Merlino ◽  
Carmelo Smeralda ◽  
Gian Luigi Gigli ◽  
Simone Lorenzut ◽  
Sara Pez ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Metastatic Cancer ◽  
Intravenous Thrombolysis ◽  
Functional Independence ◽  
University Hospital ◽  
Bridging Therapy ◽  
Patients With Cancer ◽  
Increased Risk ◽  
Active Cancer

AbstractTo date, very few studies focused their attention on efficacy and safety of recanalisation therapy in acute ischemic stroke (AIS) patients with cancer, reporting conflicting results. We retrospectively analysed data from our database of consecutive patients admitted to the Udine University Hospital with AIS that were treated with recanalisation therapy, i.e. intravenous thrombolysis (IVT), mechanical thrombectomy (MT), and bridging therapy, from January 2015 to December 2019. We compared 3-month dependency, 3-month mortality, and symptomatic intracranial haemorrhage (SICH) occurrence of patients with active cancer (AC) and remote cancer (RC) with that of patients without cancer (WC) undergoing recanalisation therapy for AIS. Patients were followed up for 3 months. Among the 613 AIS patients included in the study, 79 patients (12.9%) had either AC (n = 46; 7.5%) or RC (n = 33; 5.4%). Although AC patients, when treated with IVT, had a significantly increased risk of 3-month mortality [odds ratio (OR) 6.97, 95% confidence interval (CI) 2.42–20.07, p = 0.001] than WC patients, stroke-related deaths did not differ between AC and WC patients (30% vs. 28.8%, p = 0.939). There were no significant differences between AC and WC patients, when treated with MT ± IVT, regarding 3-month dependency, 3-month mortality and SICH. Functional independence, mortality, and SICH were similar between RC and WC patients. In conclusion, recanalisation therapy might be used in AIS patients with nonmetastatic AC and with RC. Further studies are needed to explore the outcome of AIS patients with metastatic cancer undergoing recanalisation therapy.

scholarly journals Assessing the Relative Value of CT Perfusion Compared to Non-contrast CT and CT Angiography in Prognosticating Reperfusion-Eligible Acute Ischemic Stroke Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Andrew Bivard ◽  
Christopher Levi ◽  
Longting Lin ◽  
Xin Cheng ◽  
Richard Aviv ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Ct Angiography ◽  
Predictive Accuracy ◽  
Ct Perfusion ◽  
Imaging Modality ◽  
Characteristic Curve ◽  
Treatment Decision ◽  
Receiver Operator Characteristic Curve ◽  
Stroke Patients

In the present study we sought to measure the relative statistical value of various multimodal CT protocols at identifying treatment responsiveness in patients being considered for thrombolysis. We used a prospectively collected cohort of acute ischemic stroke patients being assessed for IV-alteplase, who had CT-perfusion (CTP) and CT-angiography (CTA) before a treatment decision. Linear regression and receiver operator characteristic curve analysis were performed to measure the prognostic value of models incorporating each imaging modality. One thousand five hundred and sixty-two sub-4.5 h ischemic stroke patients were included in this study. A model including clinical variables, alteplase treatment, and NCCT ASPECTS was weak (R2 0.067, P &lt; 0.001, AUC 0.605) at predicting 90 day mRS. A second model, including dynamic CTA variables (collateral grade, occlusion severity) showed better predictive accuracy for patient outcome (R2 0.381, P &lt; 0.001, AUC 0.781). A third model incorporating CTP variables showed very high predictive accuracy (R2 0.488, P &lt; 0.001, AUC 0.899). Combining all three imaging modalities variables also showed good predictive accuracy for outcome but did not improve on the CTP model (R2 0.439, P &lt; 0.001, AUC 0.825). CT perfusion predicts patient outcomes from alteplase therapy more accurately than models incorporating NCCT and/or CT angiography. This data has implications for artificial intelligence or machine learning models.

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