Our medical, nursing and allied health clinicians are increasingly involved in research to improve the care of our patients. This is reflected in the breadth of our research publications.

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4290 results found

Disability outcomes of early cerebellar and brainstem symptoms in multiple sclerosis

Le, M; Malpas, C; Sharmin, S; Horakova, D; Havrdova, E; Trojano, M; Izquierdo, G; Eichau, S; Ozakbas, S; Lugaresi, A; Prat, A; Girard, M; Duquette, P; Larochelle, C; Alroughani, R; Bergamaschi, R; Sola, P; Ferraro, D; Grammond, P; Maison, FG; Terzi, M; Boz, C; Hupperts, R; Butzkueven, H; Pucci, E; Granella, F; Van Pesch, V; Soysal, A; Yamout, BI; Lechner-Scott, J; Spitaleri, DLA; Ampapa, R; Turkoglu, R; Iuliano, G; Ramo-Tello, C; Sanchez-Menoyo, JL; Sidhom, Y; Gouider, R; Shaygannejad, V; Prevost, J; Altintas, A; Fragoso, YD; McCombe, PA; Petersen, T; Slee, M; Barnett, MH; Vucic, S; Van der Walt, A; Kalincik, T

(2021), Mult. Scler. J., 755-766

DOI: 10.1177/1352458520926955

Clinical outcomes in patients who discontinue natalizumab therapy after 2 years in the Tysabri(R) Observational Program (TOP)

Butzkueven, H; Trojano, M; Kappos, L; Spelman, T; Wiendl, H; Rosales, K; Su, R; Licata, S; Ho, PR; Campbell, N

(2021), Mult. Scler. J., 410-419

DOI: 10.1177/1352458520917925

Measurement of neurofilaments improves stratification of future disease activity in early multiple sclerosis

Uher, T; Havrdova, EK; Benkert, P; Bergsland, N; Krasensky, J; Srpova, B; Dwyer, M; Tyblova, M; Meier, S; Vaneckova, M; Horakova, D; Zivadinov, R; Leppert, D; Kalincik, T; Kuhle, J

(2021), Mult. Scler. J., 2001-2013

DOI: 10.1177/13524585211047977

Determinants of therapeutic lag in multiple sclerosis

Roos, I; Leray, E; Frascoli, F; Casey, R; Brown, JWL; Horakova, D; Havrdova, EK; Debouverie, M; Trojano, M; Patti, F; Izquierdo, G; Eichau, S; Edan, G; Prat, A; Girard, M; Duquette, P; Onofrj, M; Lugaresi, A; Grammond, P; Ciron, J; Ruet, A; Ozakbas, S; De Seze, J; Louapre, C; Zephir, H; Sa, MJ; Sola, P; Ferraro, D; Labauge, P; Defer, G; Bergamaschi, R; Lebrun-Frenay, C; Boz, C; Cartechini, E; Moreau, T; Laplaud, D; Lechner-Scott, J; Grand'Maison, F; Gerlach, O; Terzi, M; Granella, F; Alroughani, R; Iuliano, G; Van Pesch, V; Van Wijmeersch, B; La Spitaleri, D; Soysal, A; Berger, E; Prevost, J; Aguera-Morales, E; McCombe, P; Trivino, TC; Clavelou, P; Pelletier, J; Turkoglu, R; Stankoff, B; Gout, O; Thouvenot, E; Heinzlef, O; Sidhom, Y; Gouider, R; Csepany, T; Bourre, B; Al Khedr, A; Casez, O; Cabre, P; Montcuquet, A; Wahab, A; Camdessanche, JP; Maurousset, A; Patry, I; Hankiewicz, K; Pottier, C; Maubeuge, N; Labeyrie, C; Nifle, C; Coles, A; Malpas, CB; Vukusic, S; Butzkueven, H; Kalincik, T

(2021), Mult. Scler. J., 1838-1851

DOI: 10.1177/1352458520981300

The effectiveness of natalizumab vs fingolimod-A comparison of international registry studies

Andersen, JB; Sharmin, S; Lefort, M; Koch-Henriksen, N; Sellebjerg, F; Sorensen, PS; Christensen, CCH; Rasmussen, PV; Jensen, MB; Frederiksen, JL; Bramow, S; Mathiesen, HK; Schreiber, KI; Horakova, D; Havrdova, EK; Alroughani, R; Izquierdo, G; Eichau, S; Ozakbas, S; Patti, F; Onofrj, M; Lugaresi, A; Terzi, M; Grammond, P; Maison, FG; Yamout, B; Prat, A; Girard, M; Duquette, P; Boz, C; Trojano, M; McCombe, P; Slee, M; Lechner-Scott, J; Turkoglu, R; Sola, P; Ferraro, D; Granella, F; Shaygannejad, V; Prevost, J; Skibina, O; Solaro, C; Karabudak, R; Wijmeersch, BV; Csepany, T; Spitaleri, D; Vucic, S; Casey, R; Debouverie, M; Edan, G; Ciron, J; Ruet, A; Seze, JD; Maillart, E; Zephir, H; Labauge, P; Defer, G; Lebrun, C; Moreau, T; Berger, E; Clavelou, P; Pelletier, J; Stankoff, B; Gout, O; Thouvenot, E; Heinzlef, O; Al-Khedr, A; Bourre, B; Casez, O; Cabre, P; Montcuquet, A; Wahab, A; Camdessanche, JP; Marousset, A; Patry, I; Hankiewicz, K; Pottier, C; Maubeuge, N; Labeyrie, C; Nifle, C; Leray, E; Laplaud, DA; Butzkueven, H; Kalincik, T; Vukusic, S; Magyari, M

(2021), Mult. Scler. Relat. Disord.

DOI: 10.1016/j.msard.2021.103012

Fast and safe: Optimising multiple sclerosis infusions during COVID-19 pandemic

Rath, L; Bui, MV; Ellis, J; Carey, J; Baker, J; Taylor, L; Fernando, H; Taylor, N; Savage, P; Richards, J; Zhong, M; Kalincik, T; Skibina, O; Wesselingh, R; Nguyen, A; Monif, M; Butzkueven, H; van der Walt, A

(2021), Mult. Scler. Relat. Disord.

DOI: 10.1016/j.msard.2020.102642

Long-term outcomes in patients presenting with optic neuritis: Analyses of the MSBase registry

Kenney, R; Liu, ML; Patil, S; Alroughani, R; Ampapa, R; Bergamaschi, R; Boz, C; Butzkueven, H; Gomez, JC; Cartechini, E; Madueno, SE; Ferraro, D; Grand-Maison, F; Granella, F; Horakova, D; Ayuso, GI; Kalincik, T; Preiningerova, JL; Lugaresi, A; Onofrj, M; Ozakbas, S; Patti, F; Sola, P; Soysal, A; Spitaleri, DLA; Terzi, M; Turkoglu, R; van Pesch, V; Saidha, S; Thorpe, LE; Galetta, SL; Balcer, LJ; Kister, I; Spelman, T

(2021), J. Neurol. Sci.

DOI: 10.1016/j.jns.2021.118067

Effect of lateral therapy switches to oral moderate-efficacy drugs in multiple sclerosis: a nationwide cohort study

Buron, MD; Kalincik, T; Sellebjerg, F; Sorensen, PS; Magyari, M

(2021), J. Neurol. Neurosurg. Psychiatry, 556-562

DOI: 10.1136/jnnp-2020-324869

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

De Brouwer, E; Becker, T; Moreau, Y; Havrdova, EK; Trojano, M; Eichau, S; Ozakbas, S; Onofrj, M; Grammond, P; Kuhle, J; Kappos, L; Sola, P; Cartechini, E; Lechner-Scott, J; Alroughani, R; Gerlach, O; Kalincik, T; Granella, F; Grand'Maison, F; Bergamaschi, R; Sa, MJ; Van Wijmeersch, B; Soysal, A; Sanchez-Menoyo, JL; Solaro, C; Boz, C; Iuliano, G; Buzzard, K; Aguera-Morales, E; Terzi, M; Trivio, TC; Spitaleri, D; Van Pesch, V; Shaygannejad, V; Moore, F; Oreja-Guevara, C; Maimone, D; Gouider, R; Csepany, T; Ramo-Tello, C; Peeters, L

(2021), Comput. Meth. Programs Biomed.

DOI: 10.1016/j.cmpb.2021.106180

Utilization of Multiple Sclerosis Therapies in the Middle East Over a Decade: 2009-2018

Moradi, N; Sharmin, S; Malpas, C; Ozakbas, S; Shaygannejad, V; Terzi, M; Boz, C; Yamout, B; Turkoglu, R; Karabudak, R; Hamdy, S; Soysal, A; Altintas, A; Inshasi, J; Al-Harbi, T; Alroughani, R; Kalincik, T

(2021), CNS Drugs, 1097-1106

DOI: 10.1007/s40263-021-00833-w

Predicting Infection Risk in Multiple Sclerosis Patients Treated with Ocrelizumab: A Retrospective Cohort Study

Seery, N; Sharmin, S; Li, V; Nguyen, AL; Meaton, C; Atvars, R; Taylor, N; Tunnell, K; Carey, J; Marriott, MP; Buzzard, KA; Roos, I; Dwyer, C; Baker, J; Taylor, L; Spriggs, K; Kilpatrick, TJ; Kalincik, T; Monif, M

(2021), CNS Drugs, 907-918

DOI: 10.1007/s40263-021-00810-3

Natalizumab Versus Fingolimod in Patients with Relapsing-Remitting Multiple Sclerosis: A Subgroup Analysis From Three International Cohorts

Sharmin, S; Lefort, M; Andersen, JB; Leray, E; Horakova, D; Havrdova, EK; Alroughani, R; Izquierdo, G; Ozakbas, S; Patti, F; Onofrj, M; Lugaresi, A; Terzi, M; Grammond, P; Grand'Maison, F; Yamout, B; Prat, A; Girard, M; Duquette, P; Boz, C; Trojano, M; McCombe, P; Slee, M; Lechner-Scott, J; Turkoglu, R; Sola, P; Ferraro, D; Granella, F; Prevost, J; Maimone, D; Skibina, O; Buzzard, K; Van der Walt, A; Van Wijmeersch, B; Csepany, T; Spitaleri, D; Vucic, S; Casey, R; Debouverie, M; Edan, G; Ciron, J; Ruet, A; De Seze, J; Maillart, E; Zephir, H; Labauge, P; Defer, G; Lebrun-Frenay, C; Moreau, T; Berger, E; Clavelou, P; Pelletier, J; Stankoff, B; Gout, O; Thouvenot, E; Heinzlef, O; Al-Khedr, A; Bourre, B; Casez, O; Cabre, P; Montcuquet, A; Wahab, A; Camdessanche, JP; Maurousset, A; Patry, I; Hankiewicz, K; Pottier, C; Maubeuge, N; Labeyrie, C; Nifle, C; Laplaud, D; Koch-Henriksen, N; Sellebjerg, FT; Soerensen, PS; Pfleger, CC; Rasmussen, PV; Jensen, MB; Frederiksen, JL; Bramow, S; Mathiesen, HK; Schreiber, KI; Magyari, M; Vukusic, S; Butzkueven, H; Kalincik, T

(2021), CNS Drugs, 1217-1232

DOI: 10.1007/s40263-021-00860-7

Adverse events related to antiepileptic drugs

Dang, YL; Foster, E; Lloyd, M; Rayner, G; Rychkova, M; Ali, R; Carney, PW; Velakoulis, D; Winton-Brown, TT; Kalincik, T; Perucca, P; O'Brien, TJ; Kwan, P; Malpas, CB

(2021), Epilepsy Behav.

DOI: 10.1016/j.yebeh.2020.107657

Development and Pilot Implementation of TACTICS VR: A Virtual Reality-Based Stroke Management Workflow Training Application and Training Framework

Hood, RJ; Maltby, S; Keynes, A; Kluge, MG; Nalivaiko, E; Ryan, A; Cox, M; Parsons, MW; Paul, CL; Garcia-Esperon, C; Spratt, NJ; Levi, CR; Walker, FR

(2021), Front. Neurol.

DOI: 10.3389/fneur.2021.665808

Utility of Severity-Based Prehospital Triage for Endovascular Thrombectomy ACT-FAST Validation Study

Zhao, H; Smith, K; Bernard, S; Stephenson, M; Ma, H; Chandra, RV; Phan, T; Bladin, CF; Churilov, L; Crompton, D; Dewey, HM; Wijeratne, T; Cloud, G; Thijs, V; Kleinig, TJ; Ng, JL; Williams, C; Alemseged, F; Ng, F; Mitchell, PJ; Parsons, MW; Yassi, N; Davis, SM; Campbell, BCV

(2021), Stroke, 70-79

DOI: 10.1161/STROKEAHA.120.031467

Endovascular Treatment Effect Diminishes With Increasing Thrombus Perviousness Pooled Data From 7 Trials on Acute Ischemic Stroke

Kappelhof, M; Tolhuisen, ML; Treurniet, KM; Dutra, BG; Alves, H; Zhang, G; Brown, S; Muir, KW; Davalos, A; Roos, YBWEM; Saver, JL; Demchuk, AM; Jovin, TG; Bracard, S; Campbell, BCV; van der Lugt, A; Guillemin, F; White, P; Hill, MD; Dippel, DWJ; Mitchell, PJ; Goyal, M; Marquering, HA; Majoie, CBLM

(2021), Stroke, 3633-3641

DOI: 10.1161/STROKEAHA.120.033124

Prediction of Outcome and Endovascular Treatment Benefit Validation and Update of the MR PREDICTS Decision Tool

Venema, E; Roozenbeek, B; Mulder, MJHL; Brown, S; Majoie, CBLM; Steyerberg, EW; Demchuk, AM; Muir, KW; Davalos, A; Mitchell, PJ; Bracard, S; Berkhemer, OA; Nijeholt, GJLA; Van Oostenbrugge, RJ; Roos, YBWEM; Van Zwam, WH; Van der Lugt, A; Hill, MD; White, P; Campbell, BCV; Guillemin, F; Saver, JL; Jovin, TG; Goyal, M; Dippel, DWJ; Lingsma, HF

(2021), Stroke, 2764-2772

DOI: 10.1161/STROKEAHA.120.032935

Optimal Tissue Reperfusion Estimation by Computed Tomography Perfusion Post-Thrombectomy in Acute Ischemic Stroke

Tan, ZF; Parsons, M; Bivard, A; Sharma, G; Mitchell, P; Dowling, R; Bush, S; Xu, AD; Yan, B

(2021), Stroke, E760-E763

DOI: 10.1161/STROKEAHA.121.034581

Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke

Kuang, HL; Qiu, W; Boers, AM; Brown, S; Muir, K; Majoie, CBLM; Dippel, DWJ; White, P; Epstein, J; Mitchell, PJ; Davalos, A; Bracard, S; Campbell, B; Saver, JL; Jovin, TG; Rubiera, M; Khaw, AV; Shankar, JJ; Fainardi, E; Hill, MD; Demchuk, AM; Goyal, M; Menon, BK

(2021), Stroke, 223-231

DOI: 10.1161/STROKEAHA.120.030092

Comparing the Prognostic Impact of Age and Baseline National Institutes of Health Stroke Scale in Acute Stroke due to Large Vessel Occlusion

Ospel, JM; Brown, S; Kappelhof, M; van Zwam, W; Jovin, T; Roy, D; Campbell, BCV; Mitchell, P; Roos, Y; Guillemin, F; Buck, B; Muir, K; Bracard, S; White, P; de Rochemont, RD; Goyal, M

(2021), Stroke, 2839-2845

DOI: 10.1161/STROKEAHA.120.032364

Cerebral Edema in Patients With Large Hemispheric Infarct Undergoing Reperfusion Treatment A HERMES Meta-Analysis

Ng, FC; Yassi, N; Sharma, G; Brown, SB; Goyal, M; Majoie, CBLM; Jovin, TG; Hill, MD; Muir, KW; Saver, JL; Guillemin, F; Demchuk, AM; Menon, BK; San Roman, L; Liebeskind, DS; White, P; Dippel, DWJ; Davalos, A; Bracard, S; Mitchell, PJ; Wald, MJ; Davis, SM; Sheth, KN; Kimberly, WT; Campbell, BCV

(2021), Stroke, 3450-3458

DOI: 10.1161/STROKEAHA.120.033246

Automated estimation of ischemic core prior to thrombectomy: comparison of two current algorithms

Gunasekera, L; Churilov, L; Mitchell, P; Bivard, A; Sharma, G; Parsons, MW; Yan, B

(2021), Neuroradiology, 1645-1649

DOI: 10.1007/s00234-021-02651-9

7T Magnetic Resonance Imaging Quantification of Brain Glutamate in Acute Ischaemic Stroke

Nicolo, JP; Moffat, B; Wright, DK; Sinclair, B; Neal, A; Lui, E; Desmond, P; Glarin, R; Davis, KA; Reddy, R; Yan, B; O'Brien, TJ; Kwan, P

(2021), J. Stroke, 281-284

DOI: 10.5853//jos.2020.04784

Intrinsic hospital factors: overlooked cause for variations in delay to transfer for endovascular thrombectomy

Danziger, R; Tan, C; Churilov, L; Mitchell, P; Dowling, R; Bush, S; Yan, B

(2021), J. NeuroInterventional Surg., 968-973

DOI: 10.1136/neurintsurg-2020-016836

Effect of age and baseline ASPECTS on outcomes in large-vessel occlusion stroke: results from the HERMES collaboration

Ospel, JM; Kappelhof, M; Kashani, N; Menon, BK; Campbell, BCV; San Roman, L; Demchuk, AM; Dippel, DWJ; Saver, JL; Jovin, TG; Mitchell, P; Bracard, S; Muir, K; White, P; Guillemin, F; Majoie, CBLM; Hill, MD; Brown, S; Goyal, M

(2021), J. NeuroInterventional Surg., 790-793

DOI: 10.1136/neurintsurg-2020-016621

Association between pre-treatment perfusion profile and cerebral edema after reperfusion therapies in ischemic stroke

Ng, FC; Churilov, L; Yassi, N; Kleinig, TJ; Thijs, V; Wu, TY; Shah, D; Dewey, HM; Sharma, G; Desmond, PM; Yan, B; Parsons, MW; Donnan, GA; Davis, SM; Mitchell, PJ; Campbell, BC

(2021), J. Cereb. Blood Flow Metab., 2887-2896

DOI: 10.1177/0271678X211017696

Healthy Life-Year Costs of Treatment Speed From Arrival to Endovascular Thrombectomy in Patients With Ischemic Stroke A Meta-analysis of Individual Patient Data From 7 Randomized Clinical Trials

Almekhlafi, MA; Goyal, M; Dippel, DWJ; Majoie, CBLM; Campbell, BCV; Muir, KW; Demchuk, AM; Bracard, S; Guillemin, F; Jovin, TG; Mitchell, P; White, P; Hill, MD; Brown, S; Saver, JL

(2021), JAMA Neurol., 709-717

DOI: 10.1001/jamaneurol.2021.1055

Cerebral Large Vessel Occlusion Caused by Fat Embolism-A Case Series and Review of the Literature

Ooi, S; Raviskanthan, S; Campbell, BCV; Hutton, EJ; Mitchell, PJ; Cloud, GC

(2021), Front. Neurol.

DOI: 10.3389/fneur.2021.746099

Intensive versus guideline-recommended blood pressure reduction in acute lacunar stroke with intravenous thrombolysis therapy: The ENCHANTED trial

Zhou, ZE; Xia, C; Carcel, C; Yoshimura, S; Wang, X; Delcourt, C; Malavera, A; Chen, XY; Mair, G; Woodward, M; Chalmers, J; Demchuk, AM; Lindley, RI; Robinson, TG; Parsons, MW; Wardlaw, JM; Anderson, CS

(2021), Eur. J. Neurol., 783-793

DOI: 10.1111/ene.14598

Automated Final Lesion Segmentation in Posterior Circulation Acute Ischemic Stroke Using Deep Learning

Zoetmulder, R; Konduri, PR; Obdeijn, IV; Gavves, E; Isgum, I; Majoie, CBLM; Dippel, DWJ; Roos, YBWEM; Goyal, M; Mitchell, PJ; Campbell, BCV; Lopes, DK; Reimann, G; Jovin, TG; Saver, JL; Muir, KW; White, P; Bracard, S; Chen, BL; Brown, S; Schonewille, WJ; van der Hoeven, E; Puetz, V; Marquering, HA

(2021), Diagnostics

DOI: 10.3390/diagnostics11091621

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