1.Factors Influencing Nerinetide Effect on Clinical Outcome in Patients Without Alteplase Treatment in the ESCAPE-NA1 Trial
Mayank GOYAL ; Bijoy K. MENON ; Johanna OSPEL ; Mohammed ALMEKHLAFI ; Charlotte ZERNA ; Raul NOGUEIRA ; Ryan MCTAGGART ; Andrew M. DEMCHUK ; Alexandre Y. POPPE ; Brian BUCK ; Kathy HEARD ; Manish JOSHI ; Diogo HAUSSEN ; Shawna CUTTING ; Shelagh B. COUTTS ; Daniel ROY ; Jeremy L. REMPEL ; Thalia S. FIELD ; Dar DOWLATSHAHI ; Brian van ADEL ; Richard SWARTZ ; Ruchir SHAH ; Eric SAUVAGEAU ; Volker PUETZ ; Frank L. SILVER ; Bruce CAMPBELL ; René CHAPOT ; Michael TYMIANSKI ; Michael D. HILL ;
Journal of Stroke 2025;27(1):95-101
Background:
and Purpose In the ESCAPE-NA1 (Efficacy and Safety of Nerinetide for the Treatment of Acute Ischaemic Stroke) trial, treatment with nerinetide was associated with improved outcomes in patients who did not receive intravenous alteplase. We compared the effect of nerinetide on clinical outcomes in patients without concurrent intravenous alteplase treatment within different patient subgroups.
Methods:
ESCAPE-NA1 was a multicenter randomized trial in which acute stroke patients with baseline Alberta Stroke Program Early CT Score (ASPECTS) >4 undergoing endovascular treatment (EVT) were randomized to intravenous nerinetide or placebo. The primary outcome was independence (modified Rankin Scale [mRS] score 0–2) at 90 days. We assessed baseline, clinical, and imaging variables as predictors of outcome and for evidence of treatment effect modification. We constructed two multivariable models using variables known prior to randomization and variables known immediately post-EVT procedure to provide adjusted estimates of effect. We assessed for evidence of treatment effect modification using multiplicative interaction terms within each model.
Results:
Four hundred forty-six patients were included in the analysis. Clinical outcomes were better in patients randomized to the nerinetide arm (mRS 0–2: 59.4% vs. 49.8%). There was possible treatment effect modification by ASPECTS score; patients with ASPECTS 8–10 showed a larger treatment effect compared to those with lower ASPECTS score. Younger age, lower NIHSS score, lower baseline serum glucose, absence of atrial fibrillation at baseline, higher ASPECTS score, middle cerebral artery (vs. internal carotid artery) occlusion, use of conscious or no sedation (vs. general anesthesia), and faster treatment were all predictors of favorable outcome.
Conclusion
Patients in the nerinetide arm who were not treated with concurrent alteplase showed improved clinical outcomes and the treatment effect was larger among patients with favorable ASPECTS profiles.
2.Factors Influencing Nerinetide Effect on Clinical Outcome in Patients Without Alteplase Treatment in the ESCAPE-NA1 Trial
Mayank GOYAL ; Bijoy K. MENON ; Johanna OSPEL ; Mohammed ALMEKHLAFI ; Charlotte ZERNA ; Raul NOGUEIRA ; Ryan MCTAGGART ; Andrew M. DEMCHUK ; Alexandre Y. POPPE ; Brian BUCK ; Kathy HEARD ; Manish JOSHI ; Diogo HAUSSEN ; Shawna CUTTING ; Shelagh B. COUTTS ; Daniel ROY ; Jeremy L. REMPEL ; Thalia S. FIELD ; Dar DOWLATSHAHI ; Brian van ADEL ; Richard SWARTZ ; Ruchir SHAH ; Eric SAUVAGEAU ; Volker PUETZ ; Frank L. SILVER ; Bruce CAMPBELL ; René CHAPOT ; Michael TYMIANSKI ; Michael D. HILL ;
Journal of Stroke 2025;27(1):95-101
Background:
and Purpose In the ESCAPE-NA1 (Efficacy and Safety of Nerinetide for the Treatment of Acute Ischaemic Stroke) trial, treatment with nerinetide was associated with improved outcomes in patients who did not receive intravenous alteplase. We compared the effect of nerinetide on clinical outcomes in patients without concurrent intravenous alteplase treatment within different patient subgroups.
Methods:
ESCAPE-NA1 was a multicenter randomized trial in which acute stroke patients with baseline Alberta Stroke Program Early CT Score (ASPECTS) >4 undergoing endovascular treatment (EVT) were randomized to intravenous nerinetide or placebo. The primary outcome was independence (modified Rankin Scale [mRS] score 0–2) at 90 days. We assessed baseline, clinical, and imaging variables as predictors of outcome and for evidence of treatment effect modification. We constructed two multivariable models using variables known prior to randomization and variables known immediately post-EVT procedure to provide adjusted estimates of effect. We assessed for evidence of treatment effect modification using multiplicative interaction terms within each model.
Results:
Four hundred forty-six patients were included in the analysis. Clinical outcomes were better in patients randomized to the nerinetide arm (mRS 0–2: 59.4% vs. 49.8%). There was possible treatment effect modification by ASPECTS score; patients with ASPECTS 8–10 showed a larger treatment effect compared to those with lower ASPECTS score. Younger age, lower NIHSS score, lower baseline serum glucose, absence of atrial fibrillation at baseline, higher ASPECTS score, middle cerebral artery (vs. internal carotid artery) occlusion, use of conscious or no sedation (vs. general anesthesia), and faster treatment were all predictors of favorable outcome.
Conclusion
Patients in the nerinetide arm who were not treated with concurrent alteplase showed improved clinical outcomes and the treatment effect was larger among patients with favorable ASPECTS profiles.
3.Factors Influencing Nerinetide Effect on Clinical Outcome in Patients Without Alteplase Treatment in the ESCAPE-NA1 Trial
Mayank GOYAL ; Bijoy K. MENON ; Johanna OSPEL ; Mohammed ALMEKHLAFI ; Charlotte ZERNA ; Raul NOGUEIRA ; Ryan MCTAGGART ; Andrew M. DEMCHUK ; Alexandre Y. POPPE ; Brian BUCK ; Kathy HEARD ; Manish JOSHI ; Diogo HAUSSEN ; Shawna CUTTING ; Shelagh B. COUTTS ; Daniel ROY ; Jeremy L. REMPEL ; Thalia S. FIELD ; Dar DOWLATSHAHI ; Brian van ADEL ; Richard SWARTZ ; Ruchir SHAH ; Eric SAUVAGEAU ; Volker PUETZ ; Frank L. SILVER ; Bruce CAMPBELL ; René CHAPOT ; Michael TYMIANSKI ; Michael D. HILL ;
Journal of Stroke 2025;27(1):95-101
Background:
and Purpose In the ESCAPE-NA1 (Efficacy and Safety of Nerinetide for the Treatment of Acute Ischaemic Stroke) trial, treatment with nerinetide was associated with improved outcomes in patients who did not receive intravenous alteplase. We compared the effect of nerinetide on clinical outcomes in patients without concurrent intravenous alteplase treatment within different patient subgroups.
Methods:
ESCAPE-NA1 was a multicenter randomized trial in which acute stroke patients with baseline Alberta Stroke Program Early CT Score (ASPECTS) >4 undergoing endovascular treatment (EVT) were randomized to intravenous nerinetide or placebo. The primary outcome was independence (modified Rankin Scale [mRS] score 0–2) at 90 days. We assessed baseline, clinical, and imaging variables as predictors of outcome and for evidence of treatment effect modification. We constructed two multivariable models using variables known prior to randomization and variables known immediately post-EVT procedure to provide adjusted estimates of effect. We assessed for evidence of treatment effect modification using multiplicative interaction terms within each model.
Results:
Four hundred forty-six patients were included in the analysis. Clinical outcomes were better in patients randomized to the nerinetide arm (mRS 0–2: 59.4% vs. 49.8%). There was possible treatment effect modification by ASPECTS score; patients with ASPECTS 8–10 showed a larger treatment effect compared to those with lower ASPECTS score. Younger age, lower NIHSS score, lower baseline serum glucose, absence of atrial fibrillation at baseline, higher ASPECTS score, middle cerebral artery (vs. internal carotid artery) occlusion, use of conscious or no sedation (vs. general anesthesia), and faster treatment were all predictors of favorable outcome.
Conclusion
Patients in the nerinetide arm who were not treated with concurrent alteplase showed improved clinical outcomes and the treatment effect was larger among patients with favorable ASPECTS profiles.
4.Garg scoring system to predict long-term healing in cryptoglandular anal fistulas: a prospective validation study
Sushil DAWKA ; Vipul D. YAGNIK ; Baljit KAUR ; Geetha R. MENON ; Pankaj GARG
Annals of Coloproctology 2024;40(5):490-497
Purpose:
Complex anal fistulas can recur after clinical healing, even after a long interval which leads to significant anxiety. Also, ascertaining the efficacy of any new treatment procedure becomes difficult and takes several years. We prospectively analyzed the validity of Garg scoring system (GSS) to predict long-term fistula healing.
Methods:
In patients operated for cryptoglandular anal fistulas, magnetic resonance imaging was performed preoperatively and at 3 months postoperatively to assess fistula healing. Scores as per the GSS were calculated for each patient at 3 months postoperatively and correlated with long-term healing to check the accuracy of the scoring system.
Results:
Fifty-seven patients were enrolled, but 50 were finally included (7 were excluded). These 50 patients (age, 41.2±12.4 years; 46 men) were followed up for 12 to 20 months (median, 17 months). Forty-seven patients (94.0%) had complex fistulas, 28 (56.0%) had recurrent fistulas, 48 (96.0%) had multiple tracts, 20 (40.0%) had horseshoe tracts, 15 (32.0%) had associated abscesses, 5 (10.0%) were suprasphincteric, and 8 (16.0%) were supralevator fistulas. The GSS could accurately predict long-term healing (high positive predictive value, 31 of 31 [100%]) but was not very accurate in predicting nonhealing (negative predictive value, 15 of 19 [78.9%]). The sensitivity in predicting healing was 31 of 35 (88.6%).
Conclusion
GSS accurately predicts long-term fistula with a high positive predictive value (100%) but is less accurate in predicting nonhealing. This scoring system can help allay anxiety in patients and facilitate the early validation of innovative procedures for anal fistulas.
5.Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning
Wu QIU ; Hulin KUANG ; Johanna M. OSPEL ; Michael D. HILL ; Andrew M. DEMCHUK ; Mayank GOYAL ; Bijoy K. MENON
Journal of Stroke 2021;23(2):234-243
Background:
and Purpose Multiphase computed tomographic angiography (mCTA) provides time variant images of pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict tissue perfusion and infarction from mCTA source images.
Methods:
284 patients with AIS were included from the Precise and Rapid assessment of collaterals using multi-phase CTA in the triage of patients with acute ischemic stroke for Intra-artery Therapy (Prove-IT) study. All patients had non-contrast computed tomography, mCTA, and computed tomographic perfusion (CTP) at baseline and follow-up magnetic resonance imagingon-contrast-enhanced computed tomography. Of the 284 patient images, 140 patient images were randomly selected to train and validate three ML models to predict a pre-defined Tmax thresholded perfusion abnormality, core and penumbra on CTP. The remaining 144 patient images were used to test the ML models. The predicted perfusion, core and penumbra lesions from ML models were compared to CTP perfusion lesion and to follow-up infarct using Bland-Altman plots, concordance correlation coefficient (CCC), intra-class correlation coefficient (ICC), and Dice similarity coefficient.
Results:
Mean difference between the mCTA predicted perfusion volume and CTP perfusion volume was 4.6 mL (limit of agreement [LoA], –53 to 62.1 mL; P=0.56; CCC 0.63 [95% confidence interval [CI], 0.53 to 0.71; P<0.01], ICC 0.68 [95% CI, 0.58 to 0.78; P<0.001]). Mean difference between the mCTA predicted infarct and follow-up infarct in the 100 patients with acute reperfusion (modified thrombolysis in cerebral infarction [mTICI] 2b/2c/3) was 21.7 mL, while it was 3.4 mL in the 44 patients not achieving reperfusion (mTICI 0/1). Amongst reperfused subjects, CCC was 0.4 (95% CI, 0.15 to 0.55; P<0.01) and ICC was 0.42 (95% CI, 0.18 to 0.50; P<0.01); in non-reperfused subjects CCC was 0.52 (95% CI, 0.20 to 0.60; P<0.001) and ICC was 0.60 (95% CI, 0.37 to 0.76; P<0.001). No difference was observed between the mCTA and CTP predicted infarct volume in the test cohort (P=0.67).
Conclusions
A ML based mCTA model is able to predict brain tissue perfusion abnormality and follow-up infarction, comparable to CTP.
6.Reassessing Alberta Stroke Program Early CT Score on Non-Contrast CT Based on Degree and Extent of Ischemia
Johanna M. OSPEL ; Bijoy K. MENON ; Martha MARKO ; Arnuv MAYANK ; Aravind GANESH ; Raul G. NOGUEIRA ; Ryan A. MCTAGGART ; Andrew M. DEMCHUK ; Alexandre Y. POPPE ; Jeremy L. REMPEL ; Manish JOSHI ; Mohammed A. ALMEKHLAFI ; Charlotte ZERNA ; Michael TYMIANSKI ; Michael D. HILL ; Mayank GOYAL ;
Journal of Stroke 2021;23(3):440-442
7.Impact of Multiphase Computed Tomography Angiography for Endovascular Treatment Decision-Making on Outcomes in Patients with Acute Ischemic Stroke
Johanna M. OSPEL ; Ondrej VOLNY ; Wu QIU ; Mohamed NAJM ; Moiz HAFEEZ ; Sarah ABDALRAHMAN ; Enrico FAINARDI ; Marta RUBIERA ; Alexander KHAW ; Jai J. SHANKAR ; Michael D. HILL ; Mohammed A. ALMEKHLAFI ; Andrew M. DEMCHUK ; Mayank GOYAL ; Bijoy K. MENON
Journal of Stroke 2021;23(3):377-387
Background:
and Purpose Various imaging paradigms are used for endovascular treatment (EVT) decision-making and outcome estimation in acute ischemic stroke (AIS). We aim to compare how these imaging paradigms perform for EVT patient selection and outcome estimation.
Methods:
Prospective multi-center cohort study of patients with AIS symptoms with multi-phase computed tomography angiography (mCTA) and computed tomography perfusion (CTP) baseline imaging. mCTA-based EVT-eligibility was defined as presence of large vessel occlusion (LVO) and moderate-to-good collaterals on mCTA. CTP-based eligibility was defined as presence of LVO, ischemic core (defined on relative cerebral blood flow, absolute cerebral blood flow, and cerebral blood volume maps) <70 mL, mismatch-ratio >1.8, absolute mismatch >15 mL. EVT-eligibility and adjusted rates of good outcome (modified Rankin Scale 0–2) based on these imaging paradigms were compared.
Results:
Of 289/464 patients with LVO, 263 (91%) were EVT-eligible by mCTA-criteria versus 63 (22%), 19 (7%) and 103 (36%) by rCBF, aCBF, and CBV-CTP-criteria. CTP and mCTA-criteria were discordant in 40% to 53%. Estimated outcomes were best in patients who met both mCTA and CTP eligibility-criteria and were treated with EVT (62% to 87% good outcome). Patients eligible for EVT by mCTA-criteria and not by CTP-criteria receiving EVT achieved good outcome rates of 53% to 57%. Few patients met CTP-criteria and not mCTA-criteria for EVT.
Conclusions
Simpler imaging selection criteria that rely on little else than detection of the occluded blood vessel may be more sensitive and less specific, thus resulting in more patients being offered EVT and arguably benefiting from it.
8.Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning
Wu QIU ; Hulin KUANG ; Johanna M. OSPEL ; Michael D. HILL ; Andrew M. DEMCHUK ; Mayank GOYAL ; Bijoy K. MENON
Journal of Stroke 2021;23(2):234-243
Background:
and Purpose Multiphase computed tomographic angiography (mCTA) provides time variant images of pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict tissue perfusion and infarction from mCTA source images.
Methods:
284 patients with AIS were included from the Precise and Rapid assessment of collaterals using multi-phase CTA in the triage of patients with acute ischemic stroke for Intra-artery Therapy (Prove-IT) study. All patients had non-contrast computed tomography, mCTA, and computed tomographic perfusion (CTP) at baseline and follow-up magnetic resonance imagingon-contrast-enhanced computed tomography. Of the 284 patient images, 140 patient images were randomly selected to train and validate three ML models to predict a pre-defined Tmax thresholded perfusion abnormality, core and penumbra on CTP. The remaining 144 patient images were used to test the ML models. The predicted perfusion, core and penumbra lesions from ML models were compared to CTP perfusion lesion and to follow-up infarct using Bland-Altman plots, concordance correlation coefficient (CCC), intra-class correlation coefficient (ICC), and Dice similarity coefficient.
Results:
Mean difference between the mCTA predicted perfusion volume and CTP perfusion volume was 4.6 mL (limit of agreement [LoA], –53 to 62.1 mL; P=0.56; CCC 0.63 [95% confidence interval [CI], 0.53 to 0.71; P<0.01], ICC 0.68 [95% CI, 0.58 to 0.78; P<0.001]). Mean difference between the mCTA predicted infarct and follow-up infarct in the 100 patients with acute reperfusion (modified thrombolysis in cerebral infarction [mTICI] 2b/2c/3) was 21.7 mL, while it was 3.4 mL in the 44 patients not achieving reperfusion (mTICI 0/1). Amongst reperfused subjects, CCC was 0.4 (95% CI, 0.15 to 0.55; P<0.01) and ICC was 0.42 (95% CI, 0.18 to 0.50; P<0.01); in non-reperfused subjects CCC was 0.52 (95% CI, 0.20 to 0.60; P<0.001) and ICC was 0.60 (95% CI, 0.37 to 0.76; P<0.001). No difference was observed between the mCTA and CTP predicted infarct volume in the test cohort (P=0.67).
Conclusions
A ML based mCTA model is able to predict brain tissue perfusion abnormality and follow-up infarction, comparable to CTP.
9.Reassessing Alberta Stroke Program Early CT Score on Non-Contrast CT Based on Degree and Extent of Ischemia
Johanna M. OSPEL ; Bijoy K. MENON ; Martha MARKO ; Arnuv MAYANK ; Aravind GANESH ; Raul G. NOGUEIRA ; Ryan A. MCTAGGART ; Andrew M. DEMCHUK ; Alexandre Y. POPPE ; Jeremy L. REMPEL ; Manish JOSHI ; Mohammed A. ALMEKHLAFI ; Charlotte ZERNA ; Michael TYMIANSKI ; Michael D. HILL ; Mayank GOYAL ;
Journal of Stroke 2021;23(3):440-442
10.Impact of Multiphase Computed Tomography Angiography for Endovascular Treatment Decision-Making on Outcomes in Patients with Acute Ischemic Stroke
Johanna M. OSPEL ; Ondrej VOLNY ; Wu QIU ; Mohamed NAJM ; Moiz HAFEEZ ; Sarah ABDALRAHMAN ; Enrico FAINARDI ; Marta RUBIERA ; Alexander KHAW ; Jai J. SHANKAR ; Michael D. HILL ; Mohammed A. ALMEKHLAFI ; Andrew M. DEMCHUK ; Mayank GOYAL ; Bijoy K. MENON
Journal of Stroke 2021;23(3):377-387
Background:
and Purpose Various imaging paradigms are used for endovascular treatment (EVT) decision-making and outcome estimation in acute ischemic stroke (AIS). We aim to compare how these imaging paradigms perform for EVT patient selection and outcome estimation.
Methods:
Prospective multi-center cohort study of patients with AIS symptoms with multi-phase computed tomography angiography (mCTA) and computed tomography perfusion (CTP) baseline imaging. mCTA-based EVT-eligibility was defined as presence of large vessel occlusion (LVO) and moderate-to-good collaterals on mCTA. CTP-based eligibility was defined as presence of LVO, ischemic core (defined on relative cerebral blood flow, absolute cerebral blood flow, and cerebral blood volume maps) <70 mL, mismatch-ratio >1.8, absolute mismatch >15 mL. EVT-eligibility and adjusted rates of good outcome (modified Rankin Scale 0–2) based on these imaging paradigms were compared.
Results:
Of 289/464 patients with LVO, 263 (91%) were EVT-eligible by mCTA-criteria versus 63 (22%), 19 (7%) and 103 (36%) by rCBF, aCBF, and CBV-CTP-criteria. CTP and mCTA-criteria were discordant in 40% to 53%. Estimated outcomes were best in patients who met both mCTA and CTP eligibility-criteria and were treated with EVT (62% to 87% good outcome). Patients eligible for EVT by mCTA-criteria and not by CTP-criteria receiving EVT achieved good outcome rates of 53% to 57%. Few patients met CTP-criteria and not mCTA-criteria for EVT.
Conclusions
Simpler imaging selection criteria that rely on little else than detection of the occluded blood vessel may be more sensitive and less specific, thus resulting in more patients being offered EVT and arguably benefiting from it.

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