Comparison of Three Scores of Collateral Status for Their Association With Clinical Outcome: The HERMES Collaboration

Author:

Gensicke Henrik12ORCID,Al-Ajlan Fahad3ORCID,Fladt Joachim12ORCID,Campbell Bruce C.V.4ORCID,Majoie Charles B.L.M.5ORCID,Bracard Serge6,Hill Michael D.1ORCID,Muir Keith W.7ORCID,Demchuk Andrew1ORCID,San Román Luis8ORCID,van der Lugt Aad9ORCID,Liebeskind David S.10ORCID,Brown Scott11,White Philip M.12,Guillemin Francis13ORCID,Dávalos Antoni14ORCID,Jovin Tudor G.15ORCID,Saver Jeffrey L.16ORCID,Dippel Diederik W.J.17ORCID,Goyal Mayank1ORCID,Mitchell Peter J.18ORCID,Menon Bijoy K.1ORCID,

Affiliation:

1. Calgary Stroke Program, Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada (H.G., J.F., M.D.H., A.D., M.G., B.K.M.).

2. Department of Neurology, Stroke Center, University Hospital Basel, University of Basel, Switzerland (H.G., J.F.).

3. King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia (F.A.-A.).

4. Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital (B.C.V.C.), University of Melbourne, Parkville, Australia.

5. Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location AMC, the Netherlands (C.B.L.M.M.).

6. Department of Diagnostic and Interventional Neuroradiology, INSERM U 1254 (S.B.), Université de Lorraine, University Hospital of Nancy, France.

7. Institute of Neuroscience and Psychology, University of Glasgow, Queen Elizabeth University Hospital, United Kingdom (K.W.M.).

8. Department of Interventional Neuroradiology, CDI, Hospital Clinic of Barcelona, Spain (L.S.R.).

9. Department of Radiology and Nuclear Medicine (A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.

10. Department of Neurology and Comprehensive Stroke Center (D.S.L.), David Geffen School of Medicine at the University of California, Los Angeles.

11. Altair Biostatistics, St Louis Park, MN (S.B.).

12. Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University and Newcastle upon Tyne Hospitals NHS Trust, United Kingdom (P.M.W.).

13. INSERM CIC 1433 Clinical Epidemiology (F.G.), Université de Lorraine, University Hospital of Nancy, France.

14. Department of Neuroscience, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Spain (A.D.).

15. Stroke Institute, Department of Neurology, University of Pittsburgh Medical Center, PA (T.G.J.).

16. Department of Neurology (J.L.S.), David Geffen School of Medicine at the University of California, Los Angeles.

17. Department of Neurology (D.W.J.D.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.

18. Department of Radiology, Royal Melbourne Hospital (P.J.M.), University of Melbourne, Parkville, Australia.

Abstract

Background: Leptomeningeal collateral status on baseline computed tomographic angiography (CTA) is associated with clinical outcome after acute ischemic stroke treatment. However, assessment of collateral status is not uniform. To compare 3 different CTA collateral scores (CS) and imaging techniques about their association with clinical outcome. Methods: Pooled analysis of patient-level data from the Highly Effective Reperfusion Using Multiple Endovascular Devices collaboration. Patients with large vessel occlusion from 7 randomized controlled trials that compared endovascular thrombectomy with standard medical care were included. Three different CS (Tan CS, regional CS [rCS], and regional Alberta Stroke Program Early CT Score CS) and 2 imaging techniques (single-phase [sCTA] and multiphase/dynamic CTA) were evaluated. Functional independence (modified Rankin Scale score 0–2) at 3 months poststroke was the primary outcome. Furthermore, we assessed the effect of sCTA image acquisition time on collateral status assessment using an adjusted ordinal logistic regression model to obtain predicted values for the trichotomized rCS. Results: Among 1147 pooled patients, 948 (82.7%) had sCTA and 199 (17.3%) multiphase/dynamic CTA as baseline angiography. With all 3 collateral scales, better CSs were associated with better 3-month functional outcome. With sCTA images, the rCS (area under the curve [AUC] 0.63) and regional Alberta Stroke Program Early CT Score CS (AUC 0.62) better predicted functional outcome than the Tan CS (AUC 0.60, respectively; P <0.001 and P =0.02). With multiphase/dynamic CTA images, all collateral scales performed similarly in predicting functional outcome (rCS [AUC 0.61]; regional Alberta Stroke Program Early CT Score CS [AUC 0.61] versus Tan CS [AUC 0.61], respectively; P =0.93 and P =0.91). Overall, no endovascular thrombectomy treatment effect modification by collateral status (rCS) was demonstrated ( P =0.41). sCTA timing independently influenced CS assessment. On earlier timed sCTA, the predicted proportions of scans with poor collaterals was higher and vice versa. Conclusions: In this data set of highly selected patients with stroke, using a regional CS on sCTA likely allows for the most accurate prediction of functional outcome while on time-resolved CTA, the type of CS did not matter. Patients across all collateral grades benefit from endovascular thrombectomy. sCTA timing independently influenced CS assessment.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

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