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1. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author

Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, 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., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., 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., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.

Published
2022
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2. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author

Brochet, B., Casey, R., Cotton, F., De Sèze, J., Douek, P., Guillemin, F., Laplaud, D., Lebrun-Frenay, C., Mansuy, L., Moreau, T., Olaiz, J., Pelletier, J., Rigaud-Bully, C., Stankoff, B., Vukusic, S., Marignier, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., Collongues, N., Lubetzki, C., Vermersch, P., Labauge, P., Defer, G., Cohen, M., Fromont, A., Wiertlewsky, S., Berger, E., Clavelou, P., Audoin, B., Giannesini, C., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Créange, A., Camdessanché, J.-P., Faure, J., Maurousset, A., Patry, I., Hankiewicz, K., Pottier, C., Maubeuge, N., Labeyrie, C., Nifle, C., Ameli, R., Anxionnat, R., Attye, A., Bannier, E., Barillot, C., Ben Salem, D., Boncoeur-Martel, M.-P., Bonneville, F., Boutet, C., Brisset, J.-C., Cervenanski, F., Claise, B., Commowick, O., Constans, J.-M., Dardel, P., Desal, H., Dousset, Vincent, Durand-Dubief, F., Ferre, J.-C., Gerardin, E., Glattard, T., Grand, S., Grenier, T., Guillevin, R., Guttmann, C., Krainik, A., Kremer, S., Lion, S., Menjot de Champfleur, N., Mondot, L., Outteryck, O., Pyatigorskaya, N., Pruvo, J.-P., Rabaste, S., Ranjeva, J.-P., Roch, J.-A., Sadik, J.C., Sappey-Marinier, D., Savatovsky, J., Tanguy, J.-Y., Tourbah, A., Tourdias, T., Roca, P., Colas, L., Tucholka, A., Rubini, P., Cackowski, S., Ding, J., Budzik, J.-F., Renard, F., Doyle, S., Barbier, E.L., Bousaid, I., Lassau, N., and Verclytte, S.

Published
2020
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4. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author

Lefort, M, Sharmin, S, Andersen, JB, Vukusic, 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, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, 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, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, Leray, E, Lefort, M, Sharmin, S, Andersen, JB, Vukusic, 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, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, 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, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, and Leray, E

Abstract

BACKGROUND: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing-remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. METHODS: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. RESULTS: Overall, 5,148 relapsing-remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. CONCLUSIONS: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is ful

Published
2022

5. Impact of methodological choices in comparative effectiveness studies:application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author

Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, 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., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., 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., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., Leray, E., Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, 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., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., 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., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.

Abstract

Background: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing–remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. Methods: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. Results: Overall, 5,148 relapsing–remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. Conclusions: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is

Published
2022

6. Improving the decision to switch from first to second-line therapy in MS: a dynamic scoring system

Author

Sabathe, C., Casey, Romain, Vukusic, S., Leray, Emmanuelle, Mathey, G., de Seze, J., Ciron, J., Wiertlewski, S., Ruet, A., Pelletier, J., Zephir, H., Michel, L., Lebrun-Frenay, C., Moisset, X., Thouvenot, Eric, Camdessanche, J. -P., Bakchine, Serge, Stankoff, B., Al Khedr, A., Cabre, P., Maillart, E., Berger, E., Heinzlef, O., Hankiewicz, K., Moreau, T., Gout, O., Bourre, B., Wahab, A., Labauge, Pierre, Montcuquet, A., Defer, G., Maurousset, A., Maubeuge, N., Dalia, D. Boulos, Ben Nasr, H., Nifle, C., Casez, O., Laplaud, D. -A., Foucher, yohann, MethodS in Patients-centered outcomes and HEalth ResEarch (SPHERE), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes (UN)-Université de Nantes (UN), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Université de Lorraine (UL), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), CHU Strasbourg, CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Bordeaux (UB), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), CIC Bordeaux, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital de la Timone [CHU - APHM] (TIMONE), Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Microenvironment, Cell Differentiation, Immunology and Cancer (MICMAC), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), CHU Nice [Cimiez], Hôpital Cimiez [Nice] (CHU), CHU Clermont-Ferrand, Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Centre Hospitalier Universitaire de Reims (CHU Reims), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Amiens-Picardie, CHU de la Martinique [Fort de France], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neurologie [CHRU Besançon], Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHI Poissy-Saint-Germain, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Fondation Ophtalmologique Adolphe de Rotschild, CHU Rouen, Normandie Université (NU), CHU Henri Mondor [Créteil], CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CHU Limoges, CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), INSERM CIC 0802 (INSERM - CHU de Poitiers), Université de Poitiers-Centre hospitalier universitaire de Poitiers (CHU Poitiers)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre hospitalier universitaire de Poitiers (CHU Poitiers), Hémostase, Inflammation, Thrombose (HITH - U1176 Inserm - CHU Bicêtre), Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre)-Université Paris-Saclay, Hôpital Sud Francilien Corbeil Essonne, Centre de Référence des Maladies Auto-Inflammatoires et des Amyloses [CH Versailles] (CeRéMAIA - Hôpital André Mignot), Centre Hospitalier de Versailles André Mignot (CHV), Laboratoire de Génétique Chromosomique [CHU de Grenoble], CHU Grenoble, Agence Nationale de la Recherche French National Research Agency (ANR) uropean Commission [ANR-10COHO-002], Fond de dotation de l'Universite de Nantes, Foundation EDMUS, ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, CHU Toulouse [Toulouse], Physiopathologie de la Plasticité Neuronale (Neurocentre Magendie - U1215 Inserm), Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Henri Mondor, Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Poitiers (CHU Poitiers)-Université de Poitiers, Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Meeting Abstract 035

Published
2021

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

Author

Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, 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, B, 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, J-P, 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, Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, 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, B, 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, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, and Magyari, M

Abstract

BACKGROUND: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. METHODS: By re-analyzing original published results from MSBase, France, and Denmark using uniform methodologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. RESULTS: The pooled analyses comprised 968 natalizumab- and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. CONCLUSION: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed.

Published
2021

8. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author

Roca, P., primary, Attye, A., additional, Colas, L., additional, Tucholka, A., additional, Rubini, P., additional, Cackowski, S., additional, Ding, J., additional, Budzik, J.-F., additional, Renard, F., additional, Doyle, S., additional, Barbier, E.L., additional, Bousaid, I., additional, Casey, R., additional, Vukusic, S., additional, Lassau, N., additional, Verclytte, S., additional, Cotton, F., additional, Brochet, B., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Stankoff, B., additional, Marignier, R., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Ruet, A., additional, Collongues, N., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Cohen, M., additional, Fromont, A., additional, Wiertlewsky, S., additional, Berger, E., additional, Clavelou, P., additional, Audoin, B., additional, Giannesini, C., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Faure, J., additional, Maurousset, A., additional, Patry, I., additional, Hankiewicz, K., additional, Pottier, C., additional, Maubeuge, N., additional, Labeyrie, C., additional, Nifle, C., additional, Ameli, R., additional, Anxionnat, R., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.-C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Dardel, P., additional, Desal, H., additional, Dousset, Vincent, additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Menjot de Champfleur, N., additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, and Tourdias, T., additional

Published
2020
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9. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Author

Brisset, Jean-Christophe, primary, Kremer, Stephane, additional, Hannoun, Salem, additional, Bonneville, Fabrice, additional, Durand-Dubief, Francoise, additional, Tourdias, Thomas, additional, Barillot, Christian, additional, Guttmann, Charles, additional, Vukusic, Sandra, additional, Dousset, Vincent, additional, Cotton, Francois, additional, Ameli, R., additional, Anxionnat, R., additional, Audoin, B., additional, Attye, A., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonhomme, G., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Cotton, F., additional, Dardel, P., additional, Desal, H., additional, Dousset, V., additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gaultier, A., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Champfleur, N. Menjot De, additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.-C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Stankoff, B., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, Tourdias, T., additional, Brochet, B., additional, Casey, R., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Vukusic, S., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Berger, E., additional, Clavelou, P., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Bakchine, S., additional, Maurousset, A., additional, Patry, I., additional, De Broucker, T., additional, Pottier, C., additional, Neau, J.-P., additional, Labeyrie, C., additional, and Nifle, C., additional

Published
2020
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10. Efficacité comparée du Teriflunomide et du Dimethyl-Fumarate : une étude observationnelle française multicentrique

Author

Laplaud, D.-A., primary, Barbin, L., additional, Casey, R., additional, Debouverie, M., additional, Vukusic, S., additional, Labauge, P., additional, Brassat, D., additional, Wiertlewski, S., additional, De Seze, J., additional, Edan, G., additional, Brochet, B., additional, Moreau, T., additional, Berger, E., additional, Clavelou, P., additional, Castelnovo, G., additional, Ciron, J., additional, Pelletier, J., additional, Bourre, B., additional, Lubetzki, C., additional, Al Khedr, A., additional, Vermersch, P., additional, Lebrun-Frenay, C., additional, Defer, G., additional, Tourbah, A., additional, Camdessanche, J.-P., additional, Stankoff, B., additional, Labeyrie, C., additional, Patry, I., additional, Creange, A., additional, Gout, O., additional, Heinzlef, O., additional, Casez, O., additional, Magy, L., additional, Guennoc, A.-M., additional, De Broucker, T., additional, Nifle, C., additional, Dupel-Pottier, C., additional, Leray, E., additional, Rollot, F., additional, and Foucher, Y., additional

Published
2018
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21. The effectiveness of natalizumab vs fingolimod–A comparison of international registry studies

Author

Alexis Montcuquet, Henrik Kahr Mathiesen, Tomas Kalincik, Marc Girard, Karolina Hankiewicz, Marco Onofrj, Francois Grand Maison, Raed Alroughani, Mathilde Lefort, Olivier Gout, Jeannette Lechner-Scott, Marc Debouverie, Julie Prevost, Eva Havrdova, Olivier Casez, Per Soelberg Sørensen, Pierre Duquette, Jean Pelletier, Claudio Solaro, Alessandra Lugaresi, Francesco Patti, Emmanuelle Leray, Johanna Balslev Andersen, Bassem Yamout, Céline Labeyrie, Karen Schreiber, Eric Thouvenot, Nils Koch-Henriksen, Michael Broksgaard Jensen, Elisabeth Maillart, Chantal Nifle, Stephan Bramow, Pierre Clavelou, Bruno Stankoff, Olivier Heinzlef, Finn Sellebjerg, Abir Wahab, Mark Slee, Gilles Defer, Pierre Labauge, Melinda Magyari, Steve Vucic, Guillermo Izquierdo, Helmut Butzkueven, Peter Vestergaard Rasmussen, Bertrand Bourre, Maria Trojano, Franco Granella, Corinne Pottier, Jette L. Frederiksen, Olga Skibina, Recai Turkoglu, Ivania Patry, Pierre Grammond, Bart Van Wijmeersch, Eric Berger, Aurélie Ruet, Serkan Ozakbas, Jonathan Ciron, Tünde Csépány, Jean Philippe Camdessanche, Sandra Vukusic, Nicolas Maubeuge, David Laplaud, Cavit Boz, Christine Lebrun, Claudia C. Hilt Christensen, Patrizia Sola, Vahid Shaygannejad, Romain Casey, Murat Terzi, Philippe Cabre, Jérôme De Seze, Abdullatif Al-Khedr, Dana Horakova, Pamela A. McCombe, Daniele Spitaleri, Alexandre Prat, Gilles Edan, Hélène Zéphir, Aude Marousset, Sifat Sharmin, Diana Ferraro, Sara Eichau, Rana Karabudak, Thibault Moreau, Sellebjerg, Finn/0000-0002-1333-9623, Lugaresi, Alessandra/0000-0003-2902-5589, frederiksen, jette/0000-0003-1661-7438, Ciron, Jonathan/0000-0002-3386-6308, University of Copenhagen = Københavns Universitet (KU), University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Aarhus University Hospital, Rigshospitalet [Copenhagen], Copenhagen University Hospital, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre hospitalier universitaire de Nantes (CHU Nantes), The MSBase Foundation is a not-for-profit organization that receives support from Biogen, Novartis, Merck, Roche, Teva and Sanofi Genzyme. The study was conducted separately and apart from the guidance of the sponsors. CORe received funding from NHMRC [1140766, 1129789, 1157717] to support studies of comparative effectiveness of MS therapies.OFSEP was supported by a grant provided by the French State and handled by the 'Agence Nationale de la Recherche,' within the framework of the 'Investments for the Future' program, under the reference ANR-10-COHO-002, by the Eugène Devic EDMUS Foundation against multiple sclerosis and by the ARSEP Foundation.DMSR did not receive any funding to collaborate in this study., ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Andersen J.B., Sharmin S., Lefort M., Koch-Henriksen N., Sellebjerg F., Sorensen P.S., Hilt Christensen C.C., Rasmussen P.V., Jensen M.B., Frederiksen J.L., Bramow S., Mathiesen H.K., Schreiber K.I., Horakova D., Havrdova E.K., Alroughani R., Izquierdo G., Eichau S., 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., Shaygannejad V., Prevost J., Skibina O., Solaro C., Karabudak R., Wijmeersch B.V., Csepany T., Spitaleri D., Vucic S., Casey R., Debouverie M., Edan G., Ciron J., Ruet A., Seze J.D., 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 J.-P., Marousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Leray E., Laplaud D.A., Butzkueven H., Kalincik T., Vukusic S., Magyari M., University of Copenhagen = Københavns Universitet (UCPH), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), CHU Bordeaux [Bordeaux], CHU Strasbourg, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Hospitalier Universitaire de Nice (CHU Nice), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHU Clermont-Ferrand, Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], CHU Amiens-Picardie, CHU Rouen, Normandie Université (NU), Centre Hospitalier Universitaire [Grenoble] (CHU), CHU de la Martinique [Fort de France], CHU Limoges, Hôpital Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier de Saint-Denis [Ile-de-France], Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), and Centre Hospitalier de Versailles André Mignot (CHV)

Subjects
medicine.medical_specialty, Fingolimod, Head-to-head comparison, Multiple sclerosis, Natalizumab, Treatment effectiveness, [SDV]Life Sciences [q-bio], Relapse rate, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Internal medicine, Fingolimod Hydrochloride, Epidemiology, Humans, Medicine, Multiple sclerosi, Registries, 030212 general & internal medicine, business.industry, Hazard ratio, General Medicine, medicine.disease, 3. Good health, First relapse, Treatment Outcome, Neurology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), business, Immunosuppressive Agents, 030217 neurology & neurosurgery, medicine.drug
Abstract

Background: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. Methods: By re-analyzing original published results from MSBase, France, and Denmark using uniform meth-odologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/ exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. Results: The pooled analyses comprised 968 natalizumab-and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. Conclusion: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed. BiogenBiogen; NovartisNovartis; MerckMerck & Company; RocheRoche Holding; Teva; Sanofi GenzymeSanofi-AventisGenzyme Corporation; NHMRCNational Health and Medical Research Council of Australia [1140766,1129789, 1157717]; French State; Agence Nationale de la Recherche-French National Research Agency (ANR)European Commission [ANR-10-COHO-002]; Eugene Devic EDMUS Foundation; ARSEP Foundation

Published
2021

22. Determinants of therapeutic lag in multiple sclerosis

Author

Tomas Kalincik, Marc Girard, Corinne Pottier, Murat Terzi, Jean Pelletier, Oliver Gerlach, Julie Prevost, Dana Horakova, Francois Grand'Maison, Raed Alroughani, Guillermo Izquierdo, Francesco Patti, Federico Frascoli, Maria Trojano, Franco Granella, Pamela A. McCombe, Charles B Malpas, Recai Turkoglu, Aurélie Ruet, Jonathan Ciron, Tünde Csépány, Nicolas Maubeuge, Helmut Butzkueven, Pierre Clavelou, Tamara Castillo Trivino, Marco Onofrj, Jean Philippe Camdessanche, Pierre Labauge, Vincent Van Pesch, Pierre Grammond, Abir Wahab, Roberto Bergamaschi, Aysun Soysal, Diana Ferraro, Bertrand Bourre, Olivier Gout, Jeannette Lechner-Scott, Sara Eichau, Emmanuelle Leray, Alexis Montcuquet, Pierre Duquette, Olivier Casez, Youssef Sidhom, Patrizia Sola, Bart Van Wijmeersch, Izanne Roos, Gilles Edan, Serkan Ozakbas, David Laplaud, Sandra Vukusic, Abdullatif Al Khedr, Céline Labeyrie, Philippe Cabre, Eric Thouvenot, Céline Louapre, Romain Casey, Alessandra Lugaresi, Riadh Gouider, Alasdair Coles, Eric Berger, Ivania Patry, Gerardo Iuliano, Elisabetta Cartechini, Cavit Boz, Karolina Hankiewicz, Eva Havrdova, Eduardo Aguera-Morales, J William L Brown, Jérôme De Seze, Bruno Stankoff, Olivier Heinzlef, Gilles Defer, Alexandre Prat, Chantal Nifle, Maria José Sá, Marc Debouverie, Daniele Spitaleri, Aude Maurousset, Thibault Moreau, Christine Lebrun-Frenay, Hélène Zéphir, University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Collectif de recherche handicap, autonomie et société inclusive (CoRHASI), Swinburne University of Technology [Melbourne], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Charles University [Prague], Università degli studi di Catania [Catania], Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), Università degli Studi di Modena e Reggio Emilia (UNIMORE), University of Queensland [Brisbane], Monash University [Clayton], UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, UCL - (SLuc) Service de biochimie médicale, UCL - (SLuc) Service de neurologie, Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Charles University [Prague] (CU), Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Université de Lorraine (UL), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), University of Bari Aldo Moro (UNIBA), University of Catania [Italy], Hospital Virgen Macarena, Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), CHU Toulouse [Toulouse], INSERM, Neurocentre Magendie, U1215, Physiopathologie de la Plasticité Neuronale, F-33000 Bordeaux, France, CIC Bordeaux, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Lille, Fernando Pessoa University, Azienda Ospedaleria Universitaria di Modena, CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Hospitalier Universitaire de Nice (CHU Nice), Karadeniz Technical University (KTU), Università degli Studi di Macerata = University of Macerata (UNIMC), CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Centre hospitalier universitaire de Nantes (CHU Nantes), University of Newcastle [Australia] (UoN), Zuyderland Hospital [Heerlen, The Netherlands], Ondokuz Mayis University, University of Parma = Università degli studi di Parma [Parme, Italie], Amiri hospital, University of Salerno (UNISA), Université Catholique de Louvain = Catholic University of Louvain (UCL), Hasselt University (UHasselt), San Giuseppe Moscati Hospital [Avellino, Italie], Bakirkoy Matern & Childrens State Hosp, Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Universidad de Córdoba [Cordoba], Hospital Donostia, CHU Clermont-Ferrand, Hôpital de la Timone [CHU - APHM] (TIMONE), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), CHI Poissy-Saint-Germain, Université de la Manouba [Tunisie] (UMA), University of Debrecen, Hôpital Charles Nicolle [Rouen], CHU Amiens-Picardie, CHU de la Martinique [Fort de France], CHU Limoges, CHU Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Centre Hospitalier Sud Francilien, CH Evry-Corbeil, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], This study was supported by the EDMUS Foundation and NHMRC [1140766,1129189, 1157717]. IR is supported by a MSIF-ARSEP McDonald fellowship grantand a Melbourne Research Scholarship. The MSBase Foundation is a not-for-profitorganization that receives support from Biogen, Novartis, Merck, Roche, Teva andSanofi Genzyme. The study was conducted separately and apart from the guidanceof the sponsors. The Observatoire Français de la Sclérose en Plaques (OFSEP) issupported by a grant provided by the French State and handled by the 'AgenceNationale de la Recherche,' within the framework of the 'Investments for the Future'program, under the reference ANR-10-COHO-002, by the Eugène Devic EDMUSFoundation against multiple sclerosis and by the ARSEP Foundation., ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Roos I., Leray E., Frascoli F., Casey R., Brown J.W.L., Horakova D., Havrdova E.K., 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 M.J., 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., Spitaleri D.L.A., Soysal A., Berger E., Prevost J., Aguera-Morales E., McCombe P., Castillo Trivino T., 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 J.-P., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Coles A., Malpas C.B., Vukusic S., Butzkueven H., Kalincik T., Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Università degli studi di Catania = University of Catania (Unict), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), University of Newcastle [Callaghan, Australia] (UoN), Ondokuz Mayis University (OMU), Università degli studi di Parma = University of Parma (UNIPR), Universidad de Córdoba = University of Córdoba [Córdoba], University of Debrecen Egyetem [Debrecen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), CHU Henri Mondor [Créteil], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Registrie, Male, medicine.medical_specialty, Treatment response, Pediatrics, Neurology, Lag, [SDV]Life Sciences [q-bio], Aucun, multiple sclerosis, 03 medical and health sciences, Disability Evaluation, 0302 clinical medicine, Multiple Sclerosis, Relapsing-Remitting, Recurrence, medicine, Humans, Treatment effect, Disabled Persons, Registries, 030304 developmental biology, 0303 health sciences, business.industry, Multiple sclerosis, Delayed onset, medicine.disease, 3. Good health, Clinical neurology, therapeutic lag, multiple sclerosi, Disease Progression, Disabled Person, Observational study, Female, observational study, Neurology (clinical), business, 030217 neurology & neurosurgery, Human
Abstract

International audience; Objective: To explore the associations of patient and disease characteristics with the duration of therapeutic lag for relapses and disability progression.Background: Therapeutic lag represents the delay from initiation of therapy to attainment of full treatment effect. Understanding the determinants of therapeutic lag provides valuable information for personalised choice of therapy in multiple sclerosis (MS).Design/Methods: Data from MSBase, a multinational MS registry, and OFSEP, the French national registry, were used. Patients diagnosed with MS, minimum 1-year exposure to MS treatment, minimum 3-year pre-treatment follow up and yearly review were included in the analysis. By studying incidence of relapses and 6-month confirmed disability progression, the duration of therapeutic lag was calculated by identifying the first local minimum of the first derivative after treatment start in subgroups stratified by patient and disease characteristics. Pairwise analyses of univariate predictors were performed. Combinations of determinants that consistently drove differences in therapeutic lag in pair by pair analyses were included in the final model.Results: Baseline EDSS, ARR and sex were associated with duration of therapeutic lag on disability progression in univariate and pairwise bivariable analyses. In the final model, therapeutic lag was 27.8 weeks shorter in females with ARR6 compared to those with EDSS>=6 (26.6, 18.2–34.9 vs 54.3, 47.2–61.5). Baseline EDSS, ARR, sex and MS phenotype were associated with duration of therapeutic lag on relapses in univariate analyses. Pairwise bivariable analyses of the pairs of determinants suggested ependently associated with therapeutic lag. In the final model, therapeutic lag was shortest in those with RRMS and EDSS

Published
2021

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

Author

Mark Slee, Guillermo Izquierdo, Per Soelberg Soerensen, Karen Schreiber, Alexandre Prat, Francois Grand'Maison, Maria Trojano, Franco Granella, Pierre Duquette, David Laplaud, Elisabeth Maillart, Henrik Kahr Mathiesen, Bassem Yamout, Cavit Boz, Jean Pelletier, Corinne Pottier, Jette L. Frederiksen, Claudia Christina Pfleger, Tomas Kalincik, Olivier Gout, Daniele Spitaleri, Marc Girard, Marco Onofrj, Jérôme De Seze, Helmut Butzkueven, Emmanuelle Leray, Philippe Cabre, Julie Prevost, Abullatif Al-Khedr, Aude Maurousset, Eric Berger, Sifat Sharmin, Ivania Patry, Pamela A. McCombe, Patrizia Sola, Olga Skibina, Diana Ferraro, Pierre Clavelou, Francesco Patti, Finn Sellebjerg, Niels Koch-Henriksen, Alexis Montcuquet, Recai Turkoglu, Romain Casey, Bart Van Wijmeersch, Hélène Zéphir, Pierre Grammond, Dana Horakova, Davide Maimone, Serkan Ozakbas, Céline Labeyrie, Murat Terzi, Aurélie Ruet, Steve Vucic, Jonathan Ciron, Tünde Csépány, Nicolas Maubeuge, Bruno Stankoff, Mathilde Lefort, Katherine Buzzard, Karolina Hankiewicz, Jean-Philippe Camdessanché, Raed Alroughani, Michael Broksgaard Jensen, Pierre Labauge, Olivier Casez, Peter Vestergaard Rasmussen, Bertrand Bourre, Olivier Heinzlef, Gilles Defer, Gilles Edan, Alessandra Lugaresi, Abir Wahab, Melinda Magyari, Anneke van der Walt, Eva Havrdova, Johanna Balslev Andersen, Chantal Nifle, Stephan Bramow, Marc Debouverie, Thibault Moreau, Sandra Vukusic, Christine Lebrun-Frenay, Jeannette Lechner-Scott, Eric Thouvenot, Sharmin S., Lefort M., Andersen J.B., Leray E., Horakova D., Havrdova E.K., 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 J.-P., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Laplaud D., Koch-Henriksen N., Sellebjerg F.T., Soerensen P.S., Pfleger C.C., Rasmussen P.V., Jensen M.B., Frederiksen J.L., Bramow S., Mathiesen H.K., Schreiber K.I., Magyari M., Vukusic S., Butzkueven H., Kalincik T., University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), CHU Pontchaillou [Rennes], Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Copenhagen = Københavns Universitet (UCPH), École des Hautes Études en Santé Publique [EHESP] (EHESP), Charles University [Prague] (CU), Amiri hospital, Hospital Virgen Macarena, Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), University of Catania [Italy], G.F. Ingrassia Hospital, Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Institute of Neurological Science of Bologna (IRCCS), Ondokuz Mayis University (OMU), American University of Beirut Faculty of Medicine and Medical Center (AUB), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), Karadeniz Technical University (KTU), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), University of Queensland [Brisbane], Royal Brisbane & Women's Hospital [Brisbane, Australia] (RBWH), Flinders University [Adelaide, Australia], University of Newcastle [Callaghan, Australia] (UoN), Azienda Ospedaleria Universitaria di Modena, Università degli studi di Parma = University of Parma (UNIPR), University Hospital Parma, Monash University [Melbourne], The Alfred Hospital, Hasselt University (UHasselt), University of Debrecen Egyetem [Debrecen], San Giuseppe Moscati Hospital [Avellino, Italie], Westmead Hospital [Sydney], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Hospices Civils de Lyon (HCL), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Fondation Eugène Devic EDMUS, Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Université de Lorraine (UL), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), CIC Bordeaux, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Lille, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Hôpital Pasteur [Nice] (CHU), Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), CHU Clermont-Ferrand, Neuro-Dol (Neuro-Dol), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA), Hôpital de la Timone [CHU - APHM] (TIMONE), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), CHI Poissy-Saint-Germain, Service de neurologie [Amiens], CHU Amiens-Picardie, Service de neurologie [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Centre Hospitalier Universitaire [Grenoble] (CHU), CHU de la Martinique [Fort de France], Service de Neurologie [CHU Limoges], CHU Limoges, CHU Henri Mondor [Créteil], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Service de Neurologie [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau, Hôpital Sud Francilien Corbeil Essonne, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], Hôpital de la Milétrie, Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Centre Hospitalier de Versailles André Mignot (CHV), Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Aarhus University Hospital, Aalborg University [Denmark] (AAU), University Hospital of Northern Sealand, Rigshospitalet [Copenhagen], Copenhagen University Hospital, The Royal Melbourne Hospital, 1140766, National Health and Medical Research Council, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Copenhagen = Københavns Universitet (KU), Università degli Studi di Bologna, University of Bari Aldo Moro (UNIBA), University of Newcastle [Australia] (UoN), University of Parma = Università degli studi di Parma [Parme, Italie], University of Debrecen, Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), CHU Toulouse [Toulouse], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Ondokuz Mayis University, Centre de recherche en neurosciences de Lyon (CRNL), Physiopathologie de la Plasticité Neuronale (Neurocentre Magendie - U1215 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Internationality, Subgroup analysis, Rate ratio, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Natalizumab, Multiple Sclerosis, Relapsing-Remitting, 030225 pediatrics, Internal medicine, Secondary Prevention, Medicine, Humans, Immunologic Factors, Pharmacology (medical), Longitudinal Studies, Registries, 10. No inequality, Expanded Disability Status Scale, business.industry, Proportional hazards model, Fingolimod Hydrochloride, Multiple sclerosis, [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences, Middle Aged, medicine.disease, Fingolimod, 3. Good health, multiple sclerosis, sex, age, natalizumab, fingolimod, big data, Psychiatry and Mental health, Cohort, Female, Neurology (clinical), business, 030217 neurology & neurosurgery, Immunosuppressive Agents, medicine.drug, Follow-Up Studies
Abstract

Introduction: Natalizumab has proved to be more effective than fingolimod in reducing disease activity in relapsing-remitting multiple sclerosis (RRMS). Whether this association is universal for all patient groups remains to be determined. Objective: The aim of this study was to compare the relative effectiveness of natalizumab and fingolimod in RRMS subgroups defined by the baseline demographic and clinical characteristics of interest. Methods: Patients with RRMS who were given natalizumab or fingolimod were identified in a merged cohort from three international registries. Efficacy outcomes were compared across subgroups based on patients’ sex, age, disease duration, Expanded Disability Status Scale (EDSS) score, and disease and magnetic resonance imaging (MRI) activity 12 months prior to treatment initiation. Study endpoints were number of relapses (analyzed withweighted negative binomial generalized linear model) and 6-month confirmed disability worsening and improvement events (weighted Cox proportional hazards model), recorded during study therapy. Each patient was weighted using inverse probability of treatment weighting based on propensity score. Results: A total of 5148 patients (natalizumab 1989; fingolimod 3159) were included, with a mean ± standard deviation age at baseline of 38 ± 10 years, and the majority (72%) were women. The median on-treatment follow-up was 25 (quartiles 15–41) months. Natalizumab was associated with fewer relapses than fingolimod (incidence rate ratio [IRR]; 95% confidence interval [CI]) in women (0.76; 0.65–0.88); in those aged ≤38 years (0.64; 0.54–0.76); in those withdisease duration ≤7 years (0.63; 0.53–0.76); in those with EDSS score 38 years (1.34; 1.04–1.73); those with disease duration >7 years (1.33; 1.01–1.74); those with EDSS score

Published
2021

24. Delay from treatment start to full effect of immunotherapies for multiple sclerosis

Author

Roos, Izanne, Leray, Emmanuelle, Frascoli, Federico, Casey, Romain, Brown, J William L, Horakova, Dana, Havrdova, Eva, Trojano, Maria, Patti, Francesco, Izquierdo, Guillermo, Eichau, Sara, Onofrj, Marco, Lugaresi, Alessandra, Prat, Alexandre, Girard, Marc, Grammond, Pierre, Sola, Patrizia, Ferraro, Diana, Ozakbas, Serkan, Bergamaschi, Roberto, Sá, Maria José, Cartechini, Elisabetta, Boz, Cavit, Granella, Franco, Hupperts, Raymond, Terzi, Murat, Lechner-Scott, Jeannette, Spitaleri, Daniele, Van Pesch, Vincent, Soysal, Aysun, Olascoaga, Javier, Prevost, Julie, Aguera-Morales, Eduardo, Slee, Mark, Csepany, Tunde, Turkoglu, Recai, Sidhom, Youssef, Gouider, Riadh, Van Wijmeersch, Bart, McCombe, Pamela, Macdonell, Richard, Coles, Alasdair, Malpas, Charles, Butzkueven, Helmut, Vukusic, Sandra, Kalincik, Tomas, Duquette, Pierre, Grand'Maison, Francois, Iuliano, Gerardo, Ramo-Tello, Cristina, Solaro, Claudio, Cabrera-Gomez, Jose Antonio, Rio, Maria Edite, Bolaños, Ricardo Fernandez, Shaygannejad, Vahid, Oreja-Guevara, Celia, Sanchez-Menoyo, Jose Luis, Petersen, Thor, Altintas, Ayse, Barnett, Michael, Flechter, Shlomo, Fragoso, Yara, Amato, Maria Pia, Moore, Fraser, Ampapa, Radek, Verheul, Freek, Hodgkinson, Suzanne, Cristiano, Edgardo, Yamout, Bassem, Laureys, Guy, Dominguez, Jose Andres, Zwanikken, Cees, Deri, Norma, Dobos, Eniko, Vrech, Carlos, Butler, Ernest, Rozsa, Csilla, Petkovska-Boskova, Tatjana, Karabudak, Rana, Rajda, Cecilia, Alkhaboori, Jabir, Saladino, Maria Laura, Shaw, Cameron, Shuey, Neil, Vucic, Steve, Sempere, Angel Perez, Campbell, Jamie, Piroska, Imre, Taylor, Bruce, van der Walt, Anneke, Kappos, Ludwig, Roullet, Etienne, Gray, Orla, Simo, Magdolna, Sirbu, Carmen-Adella, Brochet, Bruno, Cotton, François, De Sèze, Jérôme, Dion, Armelle, Douek, Pascal, Guillemin, Francis, Laplaud, David, Lebrun-Frenay, Christine, Moreau, Thibault, Olaiz, Javier, Pelletier, Jean, Rigaud-Bully, Claire, Stankoff, Bruno, Marignier, Romain, Debouverie, Marc, Edan, Gilles, Ciron, Jonathan, Ruet, Aurélie, Collongues, Nicolas, Lubetzki, Catherine, Vermersch, Patrick, Labauge, Pierre, Defer, Gilles, Cohen, Mikaël, Fromont, Agnès, Wiertlewsky, Sandrine, Berger, Eric, Clavelou, Pierre, Audoin, Bertrand, Giannesini, Claire, Gout, Olivier, Thouvenot, Eric, Heinzlef, Olivier, Al-Khedr, Abdullatif, Bourre, Bertrand, Casez, Olivier, Cabre, Philippe, Montcuquet, Alexis, Créange, Alain, Camdessanché, Jean-Philippe, Faure, Justine, Maurousset, Aude, Patry, Ivania, Hankiewicz, Karolina, Pottier, Corinne, Maubeuge, Nicolas, Labeyrie, Céline, Nifle, Chantal, University of Melbourne, The Royal Melbourne Hospital, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Swinburne University of Technology [Melbourne], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, University of Cambridge [UK] (CAM), Medicine Charles University and General Faculty Hospital in Prague, University of Bari Aldo Moro (UNIBA), University of Catania [Italy], Hospital Universitario Virgen Macarena [Seville, Spain], University 'G. d'Annunzio' of Chieti-Pescara [Chieti], Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Université de Montréal (UdeM), University of Modena and Reggio Emilia, Partenaires INRAE, Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), IRCCS Mondino Foundation, Universidade Fernando Pessoa, KTU Medical Faculty Farabi Hospital, University of Parma = Università degli studi di Parma [Parme, Italie], Zuyderland Ziekenhuis, Medical Faculty [Samsun, Turkey], University of Newcastle [Australia] (UoN), Université Catholique de Louvain = Catholic University of Louvain (UCL), Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Hospital Universitario Donostia, Hospital Universitario Reina Sofía de Córdoba, Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Haydarpasa Numune Training and Research Hospital, Hasselt University (UHasselt), University of Queensland [Brisbane], Hitachi Cambridge Laboratory [University of Cambridge], Hitachi, Ltd-University of Cambridge [UK] (CAM), Monash University [Melbourne], Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM), Ospedali Riuniti di Salerno, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), 1157717, National Health and Medical Research Council, Biogen, MSIF-ARSEP McDonald, Melbourne Research Scholarship, French State, ‘Agence Nationale de la Recherche,’, ANR-10-COHO-002, ‘Investments for the Future’, Eugène Devic EDMUS Foundation, ARSEP Foundation, Novartis, Merck, Roche, Teva Pharmaceutical Industries, Sanofi Genzyme, EDMUS Foundation, UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, UCL - (SLuc) Service de neurologie, Roos I., Leray E., Frascoli F., Casey R., Brown W.J.L., Horakova D., Havrdova E.K., Trojano M., Patti F., Izquierdo G., Eichau S., Onofrj M., Lugaresi A., Prat A., Girard M., Grammond P., Sola P., Ferraro D., Ozakbas S., Bergamaschi R., Sa M.J., Cartechini E., Boz C., Granella F., Hupperts R., Terzi M., Lechner-Scott J., Spitaleri D., van Pesch V., Soysal A., Olascoaga J., Prevost J., Aguera-Morales E., Slee M., Csepany T., Turkoglu R., Sidhom Y., Gouider R., van Wijmeersch B., McCombe P., Macdonell R., Coles A., Malpas C.B., Butzkueven H., Vukusic S., Kalincik T., Duquette P., Grand'Maison F., Iuliano G., Ramo-Tello C., Solaro C., Cabrera-Gomez J.A., Rio M.E., Bolanos R.F., Shaygannejad V., Oreja-Guevara C., Sanchez-Menoyo J.L., Petersen T., Altintas A., Barnett M., Flechter S., Fragoso Y., Amato M.P., Moore F., Ampapa R., Verheul F., Hodgkinson S., Cristiano E., Yamout B., Laureys G., Dominguez J.A., Zwanikken C., Deri N., Dobos E., Vrech C., Butler E., Rozsa C., Petkovska-Boskova T., Karabudak R., Rajda C., Alkhaboori J., Saladino M.L., Shaw C., Shuey N., Vucic S., Sempere A.P., Campbell J., Piroska I., Taylor B., van der Walt A., Kappos L., Roullet E., Gray O., Simo M., Sirbu C.-A., Brochet B., Cotton F., de Seze J., Dion A., Douek P., Guillemin F., Laplaud D., Lebrun-Frenay C., Moreau T., Olaiz J., Pelletier J., Rigaud-Bully C., Stankoff B., Marignier R., Debouverie M., Edan G., Ciron J., Ruet A., Collongues N., Lubetzki C., Vermersch P., Labauge P., Defer G., Cohen M., Fromont A., Wiertlewsky S., Berger E., Clavelou P., Audoin B., Giannesini C., Gout O., Thouvenot E., Heinzlef O., Al-Khedr A., Bourre B., Casez O., Cabre P., Montcuquet A., Creange A., Camdessanche J.-P., Faure J., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Brown, Will [0000-0002-7737-5834], Coles, Alasdair [0000-0003-4738-0760], Apollo - University of Cambridge Repository, McCombe, Pamela/0000-0003-2704-8517, Slee, Mark/0000-0003-4323-2453, Brown, William/0000-0002-7737-5834, Laplaud, David/0000-0001-6113-6938, Ciron, Jonathan/0000-0002-3386-6308, Roos, Izanne/0000-0003-0371-3666, Lugaresi, Alessandra/0000-0003-2902-5589, Aguera-Morales, Eduardo/0000-0002-8604-2054, Kalincik, Tomas, Girard, Marc, Patti, Francesco, Horakova, Dana, Malpas, Charles B., Olascoaga, Javier, Prevost, Julie, Roos, Izanne, Hupperts, Raymond, Csepany, Tunde, VAN WIJMEERSCH, Bart, Ferraro, Diana, Aguera-Morales, Eduardo, Cartechini, Elisabetta, Vukusic, Sandra, Frascoli, Federico, Lugaresi, Alessandra, Sa, Maria Jose, Butzkueven, Helmut, Spitaleri, Daniele, Macdonell, Richard, Coles, Alasdair, Havrdova, Eva K., Granella, Franco, Turkoglu, Recai, Trojano, Maria, Sola, Patrizia, Van Pesch, Vincent, Onofrj, Marco, Grammond, Pierre, Bergamaschi, Roberto, Izquierdo, Guillermo, McCombe, Pamela, Slee, Mark, Eichau, Sara, Prat, Alexandre, Leray, Emmanuelle, Soysal, Aysun, Terzi, Murat, Brown, J. William L., Boz, Cavit, Sidhom, Youssef, Gouider, Riadh, Ozakbas, Serkan, Casey, Romain, Lechner-Scott, Jeannette, Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Hospital Universitario Virgen Macarena [Séville], Università degli studi di Parma = University of Parma (UNIPR), University of Newcastle [Callaghan, Australia] (UoN), University of Cambridge [UK] (CAM)-Hitachi, Ltd, and ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010)

Subjects
Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Time Factors, multiple sclerosis, law.invention, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Natalizumab, Randomized controlled trial, law, Internal medicine, medicine, Humans, Immunologic Factors, Multiple sclerosi, 030212 general & internal medicine, Prospective Studies, Registries, Prospective cohort study, therapeutic lag, business.industry, Multiple sclerosis, Interferon beta-1a, Middle Aged, medicine.disease, Fingolimod, 3. Good health, Treatment Outcome, Cohort, Disease Progression, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Female, Neurology (clinical), business, Immunotherapies, 030217 neurology & neurosurgery, Immunosuppressive Agents, Therapeutic lag, prognosis, treatment, medicine.drug, Cohort study, Follow-Up Studies
Abstract

In multiple sclerosis, treatment start or switch is prompted by evidence of disease activity. Whilst immunomodulatory therapies reduce disease activity, the time required to attain maximal effect is unclear. In this study we aimed to develop a method that allows identification of the time to manifest fully and clinically the effect of multiple sclerosis treatments ('therapeutic lag') on clinical disease activity represented by relapses and progression-of-disability events. Data from two multiple sclerosis registries, MSBase (multinational) and OFSEP (French), were used. Patients diagnosed with multiple sclerosis, minimum 1-year exposure to treatment, minimum 3-year pretreatment follow-up and yearly review were included in the analysis. For analysis of disability progression, all events in the subsequent 5-year period were included. Density curves, representing incidence of relapses and 6-month confirmed progression events, were separately constructed for each sufficiently represented therapy. Monte Carlo simulations were performed to identify the first local minimum of the first derivative after treatment start; this point represented the point of stabilization of treatment effect, after the maximum treatment effect was observed. The method was developed in a discovery cohort (MSBase), and externally validated in a separate, non-overlapping cohort (OFSEP). A merged MSBase-OFSEP cohort was used for all subsequent analyses. Annualized relapse rates were compared in the time before treatment start and after the stabilization of treatment effect following commencement of each therapy. We identified 11 180 eligible treatment epochs for analysis of relapses and 4088 treatment epochs for disability progression. External validation was performed in four therapies, with no significant difference in the bootstrapped mean differences in therapeutic lag duration between registries. The duration of therapeutic lag for relapses was calculated for 10 therapies and ranged between 12 and 30 weeks. The duration of therapeutic lag for disability progression was calculated for seven therapies and ranged between 30 and 70 weeks. Significant differences in the pre- versus post-treatment annualized relapse rate were present for all therapies apart from intramuscular interferon beta-1a. In conclusion we have developed, and externally validated, a method to objectively quantify the duration of therapeutic lag on relapses and disability progression in different therapies in patients more than 3 years from multiple sclerosis onset. Objectively defined periods of expected therapeutic lag allows insights into the evaluation of treatment response in randomized clinical trials and may guide clinical decision-making in patients who experience early on-treatment disease activity. This method will subsequently be applied in studies that evaluate the effect of patient and disease characteristics on therapeutic lag. This study was supported by the EDMUS Foundation, Biogen and NHMRC (1140766, 1129189, 1157717). I.R. is supported by a MSIF-ARSEP McDonald fellowship grant and a Melbourne Research Scholarship. The MSBase Foundation is a not-for-profit organization that receives support from Biogen, Novartis, Merck, Roche, Teva and Sanofi Genzyme. The Observatoire Francais de la Sclerose en Plaques (OFSEP) is supported by a grant provided by the French State and handled by the 'Agence Nationale de la Recherche,' within the framework of the 'Investments for the Future' program, under the reference ANR-10-COHO-002, by the Eugene Devic EDMUS Foundation against multiple sclerosis and by the ARSEP Foundation. The study was conducted separately and apart from the guidance of the sponsors. Kalincik, T (corresponding author), Univ Melbourne, Dept Med, CORe, 300 Grattan St, Melbourne, Vic 3050, Australia. tomas.kalincik@unimelb.edu.au

26. Early Maintenance Treatment Initiation and Relapse Risk Mitigation After a First Event of MOGAD in Adults: The MOGADOR2 Study.

Author

Deschamps R, Guillaume J, Ciron J, Audoin B, Ruet A, Maillart E, Pique J, Benyahya L, Laplaud DA, Michel L, Collongues N, Cohen M, Ayrignac X, Thouvenot E, Zephir H, Bourre B, Froment Tilikete C, Moreau T, Cantagrel P, Kerschen P, Cabasson S, Maubeuge N, Hankiewicz K, Nifle C, Berger E, Megherbi H, Magy L, Klapczynski F, Sarov Riviere M, Giannesini C, Hamelin L, Giroux M, Branger P, Maurousset A, Mathey G, Moulin M, Mélé N, Papeix C, and Marignier R

Subjects
Humans, Male, Female, Adult, Middle Aged, Aged, Young Adult, Autoantibodies blood, France epidemiology, Cohort Studies, Follow-Up Studies, Optic Neuritis, Recurrence, Myelin-Oligodendrocyte Glycoprotein immunology
Abstract

Background and Objectives: Because myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is a recently identified autoimmune disorder, the natural history of MOGAD is still not well described. The objective of this study was to describe the long-term outcomes of adult patients with MOGAD. In addition, we aimed to identify factors affecting relapse risk and neurologic outcomes., Methods: Clinical and biological data were obtained from patients with a first event of MOGAD and included in the French nationwide incident cohort between February 2014 and March 2017. Only patients aged 18 years or older at disease onset and with observation period of at least 3 months were included. Data were collected prospectively until July 2023 and registered in the dedicated French nationwide database. This form includes every relapse with phenotype description during follow-up, date of last assessment, final clinical outcome with Expanded Disability Status Scale score and visual acuity, and maintenance therapy. The probability of recurrence-free survival was assessed using the Kaplan-Meier method., Results: We included 128 patients. The onset phenotype was isolated optic neuritis in 81 patients (63.3%) and isolated myelitis in 25 patients (19.5%). The median follow-up duration was 77.8 months (range 3.2-111.2), with 49 patients (38.3%) experienced at least one relapse. Median times from onset to second and third attacks were 3.2 (1.0-86.2) and 13.0 (2.6-64.4) months, respectively. At the last assessment, Expanded Disability Status Scale Score was ≥3 and ≥6 in 22 (17.2%) and 6 (4.7%) patients, respectively. Eighty patients received at least one maintenance treatment. This treatment was initiated after the first attack in 47 patients (36.7% of the whole cohort) and at the time of a second attack in 25 (19.5%). Multivariate analysis revealed that initiating maintenance treatment after the first attack was associated with a lower relapse risk (OR = 0.26 [95% CI 0.11-0.62], p = 0.002). In patients receiving maintenance therapy after first attack, the 2-year, 4-year, 6-year, and 8-year relapse risks were 11%, 15%, 20%, and 20%, respectively. In other patients, the risks were 41%, 46%, 51%, and 56%., Discussion: The highest risk of a relapse in MOGAD occurs early, and initiating maintenance therapy from the first attack substantially reduced the relapse risk., Classification of Evidence: This study provides Class III evidence that initiating maintenance therapy from the first attack in patients with MOGAD reduces the relapse risk.

Published
2024
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27. Acute Clinical Events Identified as Relapses With Stable Magnetic Resonance Imaging in Multiple Sclerosis.

Author

Gavoille A, Rollot F, Casey R, Kerbrat A, Le Page E, Bigaut K, Mathey G, Michel L, Ciron J, Ruet A, Maillart E, Labauge P, Zephir H, Papeix C, Defer G, Lebrun-Frenay C, Moreau T, Berger E, Stankoff B, Clavelou P, Thouvenot E, Heinzlef O, Pelletier J, Al-Khedr A, Casez O, Bourre B, Cabre P, Wahab A, Magy L, Camdessanché JP, Doghri I, Moulin S, Ben-Nasr H, Labeyrie C, Hankiewicz K, Neau JP, Pottier C, Nifle C, Manchon E, Lapergue B, Wiertlewski S, De Sèze J, Vukusic S, and Laplaud DA

Subjects
Humans, Female, Male, Adult, Middle Aged, Cohort Studies, Spinal Cord diagnostic imaging, Spinal Cord pathology, Brain diagnostic imaging, Disease Progression, Gadolinium, Registries, Magnetic Resonance Imaging methods, Recurrence, Multiple Sclerosis, Relapsing-Remitting diagnostic imaging, Multiple Sclerosis, Relapsing-Remitting drug therapy
Abstract

Importance: Understanding the association between clinically defined relapses and radiological activity in multiple sclerosis (MS) is essential for patient treatment and therapeutic development., Objective: To investigate clinical events identified as relapses but not associated with new T2 lesions or gadolinium-enhanced T1 lesions on brain and spinal cord magnetic resonance imaging (MRI)., Design, Setting, and Participants: This multicenter observational cohort study was conducted between January 2015 and June 2023. Data were extracted on June 8, 2023, from the French MS registry. All clinical events reported as relapses in patients with relapsing-remitting MS were included if brain and spinal cord MRI was performed within 12 and 24 months before the event, respectively, and 50 days thereafter with gadolinium injection., Exposures: Events were classified as relapses with active MRI (RAM) if a new T2 lesion or gadolinium-enhanced T1 lesion appeared on brain or spinal cord MRI or as acute clinical events with stable MRI (ACES) otherwise., Main Outcomes and Measures: Factors associated with ACES were investigated; patients with ACES and RAM were compared regarding Expanded Disability Status Scale (EDSS) course, relapse rate, confirmed disability accrual (CDA), relapse-associated worsening (RAW), progression independent of relapse activity (PIRA), and transition to secondary progressive (SP) MS, and ACES and RAM rates under each disease-modifying therapy (DMT) were estimated., Results: Among 31 885 clinical events, 637 in 608 patients (493 [77.4%] female; mean [SD] age, 35.8 [10.7] years) were included. ACES accounted for 166 (26.1%) events and were more likely in patients receiving highly effective DMTs, those with longer disease duration (odds ratio [OR], 1.04; 95% CI, 1.01-1.07), or those presenting with fatigue (OR, 2.14; 95% CI, 1.15-3.96). ACES were associated with significant EDSS score increases, lower than those found for RAM. Before the index event, patients with ACES experienced significantly higher rates of relapse (relative rate [RR], 1.21; 95% CI, 1.01-1.46), CDA (hazard ratio [HR], 1.54; 95% CI, 1.13-2.11), and RAW (HR, 1.72; 95% CI, 1.20-2.45). Patients with ACES were at significantly greater risk of SP transition (HR, 2.58; 95% CI, 1.02-6.51). Although RAM rate decreased with DMTs according to their expected efficacy, ACES rate was stable across DMTs., Conclusions and Relevance: The findings in this study introduce the concept of ACES in MS, which accounted for one-fourth of clinical events identified as relapses.

Published
2024
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28. High-Efficacy Therapy Discontinuation vs Continuation in Patients 50 Years and Older With Nonactive MS.

Author

Jouvenot G, Courbon G, Lefort M, Rollot F, Casey R, Le Page E, Michel L, Edan G, de Seze J, Kremer L, Bigaut K, Vukusic S, Mathey G, Ciron J, Ruet A, Maillart E, Labauge P, Zephir H, Papeix C, Defer G, Lebrun-Frenay C, Moreau T, Laplaud DA, Berger E, Stankoff B, Clavelou P, Thouvenot E, Heinzlef O, Pelletier J, Al-Khedr A, Casez O, Bourre B, Cabre P, Wahab A, Magy L, Camdessanché JP, Doghri I, Moulin S, Ben-Nasr H, Labeyrie C, Hankiewicz K, Neau JP, Pottier C, Nifle C, Collongues N, and Kerbrat A

Subjects
Humans, Female, Male, Middle Aged, Cohort Studies, Fingolimod Hydrochloride therapeutic use, Immunologic Factors therapeutic use, Immunologic Factors administration & dosage, Registries, Aged, Withholding Treatment, Immunosuppressive Agents therapeutic use, Multiple Sclerosis drug therapy, Natalizumab therapeutic use, Multiple Sclerosis, Relapsing-Remitting drug therapy
Abstract

Importance: A recent randomized clinical trial concluded that discontinuing medium-efficacy therapy might be a reasonable option for older patients with nonactive multiple sclerosis (MS), but there is a lack of data on discontinuing high-efficacy therapy (HET). In younger patients, the discontinuation of natalizumab and fingolimod is associated with a risk of rebound of disease activity., Objective: To determine whether discontinuing HET in patients 50 years and older with nonactive MS is associated with an increased risk of relapse compared with continuing HET., Design, Setting, and Participants: This observational cohort study used data from 38 referral centers from the French MS registry (Observatoire Français de la Sclérose en Plaques [OFSEP] database). Among 84704 patients in the database, data were extracted for 1857 patients 50 years and older with relapsing-remitting MS treated by HET and with no relapse or magnetic resonance imaging activity for at least 2 years. After verification of the medical records, 1620 patients were classified as having discontinued HET or having remained taking treatment and were matched 1:1 using a dynamic propensity score (including age, sex, disease phenotype, disability, treatment of interest, and time since last inflammatory activity). Patients were included from February 2008 to November 2021, with a mean (SD) follow-up of 5.1 (2.9) years. Data were extracted in June 2022., Exposures: Natalizumab, fingolimod, rituximab, and ocrelizumab., Main Outcomes and Measures: Time to first relapse., Results: Of 1620 included patients, 1175 (72.5%) were female, and the mean (SD) age was 54.7 (4.8) years. Among the 1452 in the HET continuation group and 168 in the HET discontinuation group, 154 patients in each group were matched using propensity scores (mean [SD] age, 57.7 [5.5] years; mean [SD] delay since the last inflammatory activity, 5.6 [3.8] years; mean [SD] follow-up duration after propensity score matching, 2.5 [2.1] years). Time to first relapse was significantly reduced in the HET discontinuation group compared with the HET continuation group (hazard ratio, 4.1; 95% CI, 2.0-8.5; P < .001) but differed between HETs, with a hazard ratio of 7.2 (95% CI, 2.1-24.5; P = .001) for natalizumab, 4.5 (95% CI, 1.3-15.5; P = .02) for fingolimod, and 1.1 (95% CI, 0.3-4.8; P = .85) for anti-CD20 therapy., Conclusion and Relevance: As in younger patients, in patients 50 years and older with nonactive MS, the risk of relapse increased significantly after stopping HETs that impact immune cell trafficking (natalizumab and fingolimod). There was no significant increase in risk after stopping HETs that deplete B-cells (anti-CD20 therapy). This result may inform decisions about stopping HETs in clinical practice.

Published
2024
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29. Investigating the Long-term Effect of Pregnancy on the Course of Multiple Sclerosis Using Causal Inference.

Author

Gavoille A, Rollot F, Casey R, Debouverie M, Le Page E, Ciron J, De Seze J, Ruet A, Maillart E, Labauge P, Zephir H, Papeix C, Defer G, Lebrun-Frenay C, Moreau T, Laplaud DA, Berger E, Stankoff B, Clavelou P, Thouvenot E, Heinzlef O, Pelletier J, Al Khedr A, Casez O, Bourre B, Cabre P, Wahab A, Magy L, Camdessanche JP, Maurousset A, Moulin S, Ben NH, Boulos DD, Hankiewicz K, Neau JP, Pottier C, Nifle C, Rabilloud M, Subtil F, and Vukusic S

Subjects
Pregnancy, Humans, Female, Cohort Studies, Probability, Recurrence, Disease Progression, Multiple Sclerosis epidemiology, Disabled Persons, Multiple Sclerosis, Relapsing-Remitting
Abstract

Background and Objectives: The question of the long-term safety of pregnancy is a major concern in patients with multiple sclerosis (MS), but its study is biased by reverse causation (women with higher disability are less likely to experience pregnancy). Using a causal inference approach, we aimed to estimate the unbiased long-term effects of pregnancy on disability and relapse risk in patients with MS and secondarily the short-term effects (during the perpartum and postpartum years) and delayed effects (occurring beyond 1 year after delivery)., Methods: We conducted an observational cohort study with data from patients with MS followed in the Observatoire Français de la Sclérose en Plaques registry between 1990 and 2020. We included female patients with MS aged 18-45 years at MS onset, clinically followed up for more than 2 years, and with ≥3 Expanded Disease Status Scale (EDSS) measurements. Outcomes were the mean EDSS score at the end of follow-up and the annual probability of relapse during follow-up. Counterfactual outcomes were predicted using the longitudinal targeted maximum likelihood estimator in the entire study population. The patients exposed to at least 1 pregnancy during their follow-up were compared with the counterfactual situation in which, contrary to what was observed, they would not have been exposed to any pregnancy. Short-term and delayed effects were analyzed from the first pregnancy of early-exposed patients (who experienced it during their first 3 years of follow-up)., Results: We included 9,100 patients, with a median follow-up duration of 7.8 years, of whom 2,125 (23.4%) patients were exposed to at least 1 pregnancy. Pregnancy had no significant long-term causal effect on the mean EDSS score at 9 years (causal mean difference [95% CI] = 0.00 [-0.16 to 0.15]) or on the annual probability of relapse (causal risk ratio [95% CI] = 0.95 [0.93-1.38]). For the 1,253 early-exposed patients, pregnancy significantly decreased the probability of relapse during the perpartum year and significantly increased it during the postpartum year, but no significant delayed effect was found on the EDSS and relapse rate., Discussion: Using a causal inference approach, we found no evidence of significantly deleterious or beneficial long-term effects of pregnancy on disability. The beneficial effects found in other studies were probably related to a reverse causation bias., (© 2022 American Academy of Neurology.)

Published
2023
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30. Improving the decision to switch from first- to second-line therapy in multiple sclerosis: A dynamic scoring system.

Author

Sabathé C, Casey R, Vukusic S, Leray E, Mathey G, De Sèze J, Ciron J, Wiertlewski S, Ruet A, Pelletier J, Zéphir H, Michel L, Lebrun-Frenay C, Moisset X, Thouvenot E, Camdessanché JP, Bakchine S, Stankoff B, Al Khedr A, Cabre P, Maillart E, Berger E, Heinzlef O, Hankiewicz K, Moreau T, Gout O, Bourre B, Wahab A, Labauge P, Montcuquet A, Defer G, Maurousset A, Maubeuge N, Dimitri Boulos D, Ben Nasr H, Nifle C, Casez O, Laplaud DA, and Foucher Y

Subjects
Humans, Immunologic Factors, Multiple Sclerosis, Multiple Sclerosis, Relapsing-Remitting drug therapy
Abstract

Background: In relapsing-remitting multiple sclerosis (RRMS), early identification of suboptimal responders can prevent disability progression., Objective: We aimed to develop and validate a dynamic score to guide the early decision to switch from first- to second-line therapy., Methods: Using time-dependent propensity scores (PS) from a French cohort of 12,823 patients with RRMS, we constructed one training and two validation PS-matched cohorts to compare the switched patients to second-line treatment and the maintained patients. We used a frailty Cox model for predicting individual hazard ratios (iHRs)., Results: From the validation PS-matched cohort of 348 independent patients with iHR ⩽ 0.69, we reported the 5-year relapse-free survival at 0.14 (95% confidence interval (CI) 0.09-0.22) for the waiting group and 0.40 (95% CI 0.32-0.51) for the switched group. From the validation PS-matched cohort of 518 independent patients with iHR > 0.69, these values were 0.37 (95% CI 0.30-0.46) and 0.44 (95% CI 0.37-0.52), respectively., Conclusions: By using the proposed dynamic score, we estimated that at least one-third of patients could benefit from an earlier switch to prevent relapse.

Published
2023
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31. Natalizumab Versus Fingolimod in Patients with Relapsing-Remitting Multiple Sclerosis: A Subgroup Analysis From Three International Cohorts.

Author

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 Sèze J, Maillart E, Zephir H, Labauge P, Defer G, Lebrun-Frénay 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, Camdessanché 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, and Kalincik T

Subjects
Adult, Cohort Studies, Female, Follow-Up Studies, Humans, Immunosuppressive Agents therapeutic use, Longitudinal Studies, Male, Middle Aged, Multiple Sclerosis, Relapsing-Remitting diagnosis, Multiple Sclerosis, Relapsing-Remitting epidemiology, Secondary Prevention, Fingolimod Hydrochloride therapeutic use, Immunologic Factors therapeutic use, Internationality, Multiple Sclerosis, Relapsing-Remitting drug therapy, Natalizumab therapeutic use, Registries
Abstract

Introduction: Natalizumab has proved to be more effective than fingolimod in reducing disease activity in relapsing-remitting multiple sclerosis (RRMS). Whether this association is universal for all patient groups remains to be determined., Objective: The aim of this study was to compare the relative effectiveness of natalizumab and fingolimod in RRMS subgroups defined by the baseline demographic and clinical characteristics of interest., Methods: Patients with RRMS who were given natalizumab or fingolimod were identified in a merged cohort from three international registries. Efficacy outcomes were compared across subgroups based on patients' sex, age, disease duration, Expanded Disability Status Scale (EDSS) score, and disease and magnetic resonance imaging (MRI) activity 12 months prior to treatment initiation. Study endpoints were number of relapses (analyzed with weighted negative binomial generalized linear model) and 6-month confirmed disability worsening and improvement events (weighted Cox proportional hazards model), recorded during study therapy. Each patient was weighted using inverse probability of treatment weighting based on propensity score., Results: A total of 5148 patients (natalizumab 1989; fingolimod 3159) were included, with a mean ± standard deviation age at baseline of 38 ± 10 years, and the majority (72%) were women. The median on-treatment follow-up was 25 (quartiles 15-41) months. Natalizumab was associated with fewer relapses than fingolimod (incidence rate ratio [IRR]; 95% confidence interval [CI]) in women (0.76; 0.65-0.88); in those aged ≤ 38 years (0.64; 0.54-0.76); in those with disease duration ≤ 7 years (0.63; 0.53-0.76); in those with EDSS score < 4 (0.75; 0.64-0.88), < 6 (0.80; 0.70-0.91), and ≥ 6 (0.52; 0.31-0.86); and in patients with pre-baseline relapses (0.74; 0.64-0.86). A higher probability of confirmed disability improvement on natalizumab versus fingolimod (hazard ratio [HR]; 95% CI) was observed among women (1.36; 1.10-1.66); those aged > 38 years (1.34; 1.04-1.73); those with disease duration > 7 years (1.33; 1.01-1.74); those with EDSS score < 6 (1.21; 1.01-1.46) and ≥ 6 (1.93; 1.11-3.34); and patients with no new MRI lesion (1.73; 1.19-2.51)., Conclusions: Overall, in women, younger patients, those with shorter disease durations, and patients with pre-treatment relapses, natalizumab was associated with a lower frequency of multiple sclerosis relapses than fingolimod. It was also associated with an increased chance of recovery from disability among most patients, particularly women and those with no recent MRI activity., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Published
2021
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32. Determinants of therapeutic lag in multiple sclerosis.

Author

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, Sá 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, Spitaleri D, Soysal A, Berger E, Prevost J, Aguera-Morales E, McCombe P, Castillo Triviño T, 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, and Kalincik T

Subjects
Disability Evaluation, Disease Progression, Female, Humans, Male, Recurrence, Registries, Disabled Persons, Multiple Sclerosis drug therapy, Multiple Sclerosis, Relapsing-Remitting
Abstract

Background: A delayed onset of treatment effect, termed therapeutic lag, may influence the assessment of treatment response in some patient subgroups., Objectives: The objective of this study is to explore the associations of patient and disease characteristics with therapeutic lag on relapses and disability accumulation., Methods: Data from MSBase, a multinational multiple sclerosis (MS) registry, and OFSEP, the French MS registry, were used. Patients diagnosed with MS, minimum 1 year of exposure to MS treatment and 3 years of pre-treatment follow-up, were included in the analysis. Studied outcomes were incidence of relapses and disability accumulation. Therapeutic lag was calculated using an objective, validated method in subgroups stratified by patient and disease characteristics. Therapeutic lag under specific circumstances was then estimated in subgroups defined by combinations of clinical and demographic determinants., Results: High baseline disability scores, annualised relapse rate (ARR) ⩾ 1 and male sex were associated with longer therapeutic lag on disability progression in sufficiently populated groups: females with expanded disability status scale (EDSS) < 6 and ARR < 1 had mean lag of 26.6 weeks (95% CI = 18.2-34.9), males with EDSS < 6 and ARR < 1 31.0 weeks (95% CI = 25.3-36.8), females with EDSS < 6 and ARR ⩾ 1 44.8 weeks (95% CI = 24.5-65.1), and females with EDSS ⩾ 6 and ARR < 1 54.3 weeks (95% CI = 47.2-61.5)., Conclusions: Pre-treatment EDSS and ARR are the most important determinants of therapeutic lag.

Published
2021
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33. The effectiveness of natalizumab vs fingolimod-A comparison of international registry studies.

Author

Andersen JB, Sharmin S, Lefort M, Koch-Henriksen N, Sellebjerg F, Sørensen PS, Hilt Christensen CC, 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, 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, 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, Sèze 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, Camdessanché 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, and Magyari M

Subjects
Humans, Immunosuppressive Agents therapeutic use, Natalizumab therapeutic use, Registries, Treatment Outcome, Fingolimod Hydrochloride therapeutic use, Multiple Sclerosis, Relapsing-Remitting drug therapy
Abstract

Background: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening., Methods: By re-analyzing original published results from MSBase, France, and Denmark using uniform methodologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/exclusion criteria and statistical methods with Inverse Probability Treatment Weighting., Results: The pooled analyses comprised 968 natalizumab- and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod., Conclusion: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
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34. Untreated patients with multiple sclerosis: A study of French expert centers.

Author

Moisset X, Fouchard AA, Pereira B, Taithe F, Mathey G, Edan G, Ciron J, Brochet B, De Sèze J, Papeix C, Vermersch P, Labauge P, Defer G, Lebrun-Frenay C, Moreau T, Laplaud D, Berger E, Pelletier J, Stankoff B, Gout O, Thouvenot E, Heinzlef O, Al-Khedr A, Bourre B, Casez O, Cabre P, Montcuquet A, Créange A, Camdessanché JP, Bakchine S, Maurousset A, Hankiewicz K, Pottier C, Maubeuge N, Dimitri Boulos D, Nifle C, Vukusic S, and Clavelou P

Subjects
Adult, Humans, Middle Aged, Neoplasm Recurrence, Local, Retrospective Studies, Multiple Sclerosis epidemiology, Multiple Sclerosis therapy, Multiple Sclerosis, Chronic Progressive, Multiple Sclerosis, Relapsing-Remitting
Abstract

Background and Purpose: Disease-modifying therapies (DMTs) have an impact on relapses and disease progression. Nonetheless, many patients with multiple sclerosis (MS) remain untreated. The objectives of the present study were to determine the proportion of untreated patients with MS followed in expert centers in France and to determine the predictive factors of nontreatment., Methods: We conducted a retrospective cohort study. Data were extracted from the 38 centers participating in the European Database for Multiple Sclerosis (EDMUS) on December 15, 2018, and patients with MS seen at least once during the study period (from June 15, 2016 to June 14, 2017) were included., Results: Of the 21,189 patients with MS (age 47.1 ± 13.1 years; Expanded Disability Status Scale (EDSS) score 3.4 ± 2.4), 6,631 (31.3%; 95% confidence interval [CI] 30.7-31.9) were not receiving any DMT. Although patients with a relapsing-remitting course (n = 11,693) were the most likely to receive DMT, 14.8% (95% CI 14.2-15.4) were still untreated (6.8% never treated). After multivariate analysis among patients with relapsing-remitting MS, the main factors explaining never having been treated were: not having ≥9 lesions on brain magnetic resonance imaging (odds ratio [OR] 0.52 [95% CI 0.44-0.61]) and lower EDSS score (OR 0.78 [95% CI 0.74-0.82]). Most patients with progressive MS (50.4% for secondary and 64.2% for primary progressive MS) did not receive any DMT during the study period, while 11.6% of patients with secondary and 34.0% of patients with primary progressive MS had never received any DMT., Conclusion: A significant proportion of patients with MS did not receive any DMT, even though such treatments are reimbursed by the healthcare system for French patients. This result highlights the unmet need for current DMTs for a large subgroup of patients with MS., (© 2021 European Academy of Neurology.)

Published
2021
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35. Progressive Multifocal Leukoencephalopathy Incidence and Risk Stratification Among Natalizumab Users in France.

Author

Vukusic S, Rollot F, Casey R, Pique J, Marignier R, Mathey G, Edan G, Brassat D, Ruet A, De Sèze J, Maillart E, Zéphir H, Labauge P, Derache N, Lebrun-Frenay C, Moreau T, Wiertlewski S, Berger E, Moisset X, Rico-Lamy A, Stankoff B, Bensa C, Thouvenot E, Heinzlef O, Al-Khedr A, Bourre B, Vaillant M, Cabre P, Montcuquet A, Wahab A, Camdessanché JP, Tourbah A, Guennoc AM, Hankiewicz K, Patry I, Nifle C, Maubeuge N, Labeyrie C, Vermersch P, and Laplaud DA

Subjects
Adolescent, Adult, Female, France epidemiology, Humans, Immunocompromised Host, Incidence, JC Virus, Leukoencephalopathy, Progressive Multifocal immunology, Leukoencephalopathy, Progressive Multifocal prevention & control, Male, Registries, Risk Factors, Young Adult, Immunologic Factors adverse effects, Leukoencephalopathy, Progressive Multifocal epidemiology, Multiple Sclerosis, Relapsing-Remitting drug therapy, Natalizumab adverse effects
Abstract

Importance: Risk of developing progressive multifocal leukoencephalopathy (PML) is the major barrier to using natalizumab for patients with multiple sclerosis (MS). To date, the association of risk stratification with PML incidence has not been evaluated., Objective: To describe the temporal evolution of PML incidence in France before and after introduction of risk minimization recommendations in 2013., Design, Setting, and Participants: This observational study used data in the MS registry OFSEP (Observatoire Français de la Sclérose en Plaques) collected between April 15, 2007, and December 31, 2016, by participating MS expert centers and MS-dedicated networks of neurologists in France. Patients with an MS diagnosis according to current criteria, regardless of age, were eligible, and those exposed to at least 1 natalizumab infusion (n = 6318) were included in the at-risk population. A questionnaire was sent to all centers, asking for a description of their practice regarding PML risk stratification. Data were analyzed in July 2018., Exposures: Time from the first natalizumab infusion to the occurrence of PML, natalizumab discontinuation plus 6 months, or the last clinical evaluation., Main Outcomes and Measures: Incidence was the number of PML cases reported relative to the person-years exposed to natalizumab. A Poisson regression model for the 2007 to 2016 period estimated the annual variation in incidence and incidence rate ratio (IRR), adjusted for sex and age at treatment initiation and stratified by period (2007-2013 and 2013-2016)., Results: In total, 6318 patients were exposed to natalizumab during the study period, of whom 4682 (74.1%) were female, with a mean (SD [range]) age at MS onset of 28.5 (9.1 [1.1-72.4]) years; 45 confirmed incident cases of PML were diagnosed in 22 414 person-years of exposure. The crude incidence rate for the whole 2007 to 2016 period was 2.00 (95% CI, 1.46-2.69) per 1000 patient-years. Incidence significantly increased by 45.3% (IRR, 1.45; 95% CI, 1.15-1.83; P = .001) each year before 2013 and decreased by 23.0% (IRR, 0.77; 95% CI, 0.61-0.97; P = .03) each year from 2013 to 2016., Conclusions and Relevance: The results of this study suggest, for the first time, a decrease in natalizumab-associated PML incidence since 2013 in France that may be associated with a generalized use of John Cunningham virus serologic test results; this finding appears to support the continuation and reinforcement of educational activities and risk-minimization strategies in the management of disease-modifying therapies for multiple sclerosis.

Published
2020
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36. Comparative effectiveness of teriflunomide vs dimethyl fumarate in multiple sclerosis.

Author

Laplaud DA, Casey R, Barbin L, Debouverie M, De Sèze J, Brassat D, Wiertlewski S, Brochet B, Pelletier J, Vermersch P, Edan G, Lebrun-Frenay C, Clavelou P, Thouvenot E, Camdessanché JP, Tourbah A, Stankoff B, Al Khedr A, Cabre P, Lubetzki C, Papeix C, Berger E, Heinzlef O, Debroucker T, Moreau T, Gout O, Bourre B, Wahab A, Labauge P, Magy L, Defer G, Guennoc AM, Maubeuge N, Labeyrie C, Patry I, Nifle C, Casez O, Michel L, Rollot F, Leray E, Vukusic S, and Foucher Y

Subjects
Adult, Disease Progression, Female, Fingolimod Hydrochloride therapeutic use, Humans, Hydroxybutyrates, Male, Middle Aged, Nitriles, Recurrence, Treatment Outcome, Crotonates therapeutic use, Dimethyl Fumarate therapeutic use, Immunosuppressive Agents therapeutic use, Multiple Sclerosis drug therapy, Toluidines therapeutic use
Abstract

Objective: In this study, we compared the effectiveness of teriflunomide (TRF) and dimethyl fumarate (DMF) on both clinical and MRI outcomes in patients followed prospectively in the Observatoire Français de la Sclérose en Plaques., Methods: A total of 1,770 patients with relapsing-remitting multiple sclerosis (RRMS) (713 on TRF and 1,057 on DMF) with an available baseline brain MRI were included in intention to treat. The 1- and 2-year postinitiation outcomes were relapses, increase of T2 lesions, increase in Expanded Disability Status Scale score, and reason for treatment discontinuation. Propensity scores (inverse probability weighting) and logistic regressions were estimated., Results: The confounder-adjusted proportions of patients were similar in TRF- compared to DMF-treated patients for relapses and disability progression after 1 and 2 years. However, the adjusted proportion of patients with at least one new T2 lesion after 2 years was lower in DMF compared to TRF (60.8% vs 72.2%, odds ratio [OR] 0.60, p < 0.001). Analyses of reasons for treatment withdrawal showed that lack of effectiveness was reported for 8.5% of DMF-treated patients vs 14.5% of TRF-treated patients (OR 0.54, p < 0.001), while adverse events accounted for 16% of TRF-treated patients and 21% of DMF-treated patients after 2 years (OR 1.39, p < 0.001)., Conclusions: After 2 years of treatment, we found similar effectiveness of DMF and TRF in terms of clinical outcomes, but with better MRI-based outcomes for DMF-treated patients, resulting in a lower rate of treatment discontinuation due to lack of effectiveness., Classification of Evidence: This study provides Class III evidence that for patients with RRMS, TRF and DMF have similar clinical effectiveness after 2 years of treatment., (Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Published
2019
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37. Artery of Percheron infarction as an unusual cause of coma: three cases and literature review.

Author

Zappella N, Merceron S, Nifle C, Hilly-Ginoux J, Bruneel F, Troché G, Cordoliani YS, Bedos JP, Pico F, and Legriel S

Subjects
Aged, Aged, 80 and over, Arterial Occlusive Diseases pathology, Cerebral Infarction pathology, Circle of Willis pathology, Coma pathology, Female, Humans, Mediodorsal Thalamic Nucleus blood supply, Arterial Occlusive Diseases complications, Cerebral Infarction etiology, Coma etiology, Mediodorsal Thalamic Nucleus pathology, Posterior Cerebral Artery pathology
Abstract

Objective: Stroke due to occlusion of the artery of Percheron (AOP), an uncommon anatomic variant supplying the bilateral medial thalami, may raise diagnostic challenges and cause life-threatening symptoms. Our objective here was to detail the features and outcomes in three patients who required intensive care unit (ICU) admission and to review the relevant literature., Methods: Description of three cases and literature review based on a 1973-2013 PubMed search., Results: Three patients were admitted to our ICU with sudden-onset coma and respiratory and cardiovascular dysfunctions requiring endotracheal mechanical ventilation. Focal neurological deficits, ophthalmological signs (abnormal light reflexes and/or ocular motility and/or ptosis), and neuropsychological abnormalities were variably combined. Initial CT scan was normal. Cerebral MRI demonstrated bilateral paramedian thalamic infarction, with extension to the cerebral peduncles in two patients. Consciousness improved rapidly and time to extubation was 1-4 days. All three patients were discharged alive from the hospital and two had good 1-year functional outcomes. Similar clinical features and outcomes were recorded in the 117 patients identified in the literature, of whom ten required ICU admission., Conclusions: Bilateral paramedian thalamic stroke due to AOP occlusion can be life threatening. The early diagnosis relies on MRI with magnetic resonance angiography. Recovery of consciousness is usually rapid and mortality is low, warranting full-code ICU management.

Published
2014
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38. Concomitant axillary mycobacteriosis and neuro-sarcoidosis: diagnostic pitfalls.

Author

Meckenstock R, Therby A, Chapelon-Abric C, Nifle C, Beressi JP, Lebas C, and Greder-Belan A

Subjects
Adrenal Cortex Hormones therapeutic use, Antitubercular Agents therapeutic use, Diagnosis, Differential, Diagnostic Imaging, Female, Humans, Middle Aged, Mycobacterium Infections drug therapy, Sarcoidosis drug therapy, Spondylarthritis diagnosis, Axilla, Brain Diseases diagnosis, Mycobacterium Infections diagnosis, Sarcoidosis diagnosis
Abstract

There are many similarities between mycobacteriosis, in particular, tuberculosis, and sarcoidosis such as predominant intrathoracic localisation (even if all organs and tissues may be concerned), great variability of phenotypic expression, and granulomatous inflammatory reaction, caseous necrosis not being an absolute criterion of tuberculosis. Moreover, microbial (or mycobacterial?) agents may play a role in the pathogenesis of sarcoidosis which remains a diagnosis of exclusion particularly in atypical cases. The authors report a case of a non-immunocompromised female patient who presented, simultaneously, isolated axillary tubercular adenitis and neuro-sarcoidosis without any other localisation. This case illustrates the difficulty to distinguish between both of these two diseases and thus to choose an adequate treatment when diagnosis is not proven. Moreover, our patient (human leucocyte antigen B27 positive) presented symptoms of spondylarthritis which also may have a nosological link with tuberculosis or sarcoidosis.

Published
2011
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39. [Brain MRI associated with chronic hepatic failure and hypermanganism].

Author

Aissi M, Nifle C, Roussin Bretagne S, Hubert C, Cordoliani YS, and Pico F

Subjects
Adult, Chronic Disease, Diagnosis, Differential, Globus Pallidus drug effects, Globus Pallidus pathology, Humans, Liver Failure etiology, Liver Failure pathology, Magnetic Resonance Imaging, Male, Manganese blood, Manganese Poisoning complications, Brain pathology, Manganese Poisoning diagnosis
Abstract

Introduction: Hypermanganism is primarily linked to inhalation exposure. Several observations of exogenous manganese poisoning have been reported associating neuropsychiatric symptoms, parkinsonian syndrome and hyperintensities of the two pallida on T1 weighted sequences on brain MRI. Recently, similar neurological and radiological signs have been described without exogenous exposure to manganese but in the framework of endogenous poisoning particularly in chronic hepatic failure., Case Report: We report the case of a 41-year-old HIV-positive and HVC-positive man who presented psychomotor impairment associated with bipallidal T1 hyperintensities on the brain MRI. The diagnosis of a hypermanganesemia was made on blood samples. We present a literature review on exogenous and endogenous hypermanganesemia and discuss differential diagnosis in the radiological setting of bipallidal T1 hyperintensities., Conclusion: Bipallidal T1 hyperintensities on brain MRI may suggest hypermanganism even in the clinical setting of a non-specific neurological disorder such as psychomotor impairment., (Copyright 2009 Elsevier Masson SAS. All rights reserved.)

Published
2010
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40. Comparison of intravenous alteplase with a combined intravenous-endovascular approach in patients with stroke and confirmed arterial occlusion (RECANALISE study): a prospective cohort study.

Author

Mazighi M, Serfaty JM, Labreuche J, Laissy JP, Meseguer E, Lavallée PC, Cabrejo L, Slaoui T, Guidoux C, Lapergue B, Klein IF, Olivot JM, Abboud H, Simon O, Niclot P, Nifle C, Touboul PJ, Raphaeli G, Gohin C, Claeys ES, and Amarenco P

Subjects
Aged, Aged, 80 and over, Cerebral Arteries diagnostic imaging, Cerebral Arteries drug effects, Cerebral Arteries pathology, Clinical Protocols, Cohort Studies, Drug Administration Routes, Female, Fibrinolytic Agents adverse effects, Humans, Injections, Intra-Arterial adverse effects, Injections, Intra-Arterial statistics & numerical data, Injections, Intravenous statistics & numerical data, Intracranial Thrombosis complications, Intracranial Thrombosis physiopathology, Male, Middle Aged, Postoperative Complications etiology, Prospective Studies, Radiography, Recovery of Function drug effects, Recovery of Function physiology, Stroke etiology, Stroke physiopathology, Thrombolytic Therapy adverse effects, Thrombolytic Therapy statistics & numerical data, Tissue Plasminogen Activator adverse effects, Treatment Outcome, Fibrinolytic Agents administration & dosage, Intracranial Thrombosis drug therapy, Stroke drug therapy, Thrombolytic Therapy methods, Tissue Plasminogen Activator administration & dosage
Abstract

Background: The efficacy of intravenous (IV) alteplase is restricted by the speed of recanalisation and the site of the occlusion. The aim of this study was to ascertain the effect of a combined IV-endovascular approach (intra-arterial alteplase and, if required, additional thrombectomy) in patients with stroke due to arterial occlusion., Methods: We compared recanalisation rates, neurological improvement at 24 h, and functional outcome at 3 months between two periods (February, 2002, to March, 2007, vs April, 2007, to October, 2008) in patients in a prospective registry who were treated with different regimens of alteplase within 3 h of symptom onset. Patients with confirmed occlusion who were treated before April, 2007, were treated with IV alteplase; after April, 2007, patients were treated with a systematic IV-endovascular approach. Analysis was by intention to treat., Findings: 46 (87%) of 53 patients treated with the IV-endovascular approach achieved recanalisation versus 56 (52%) of 107 patients in the IV group (adjusted relative risk [RR] 1.49, 95% CI 1.21-1.84; p=0.0002). Early neurological improvement (NIHSS score of 0 or 1 or an improvement of 4 points or more at 24 h) occurred in 32 (60%) patients in the IV-endovascular group and 42 (39%) patients in the IV group (adjusted RR 1.36, 0.97-1.91; p=0.07). Favourable outcome (mRS of 0-2 at 90 days) occurred in 30 (57%) patients in the IV-endovascular group and 47 (44%) patients in the IV group (adjusted RR 1.16, 0.85-1.58; p=0.35). The mortality rate at 90 days was 17% in both groups, and symptomatic intracranial haemorrhage was reported in five (9%) patients in the IV-endovascular group and in 12 (11%) patients in the IV group. Better clinical outcome was associated with recanalisation in both groups and with time to recanalisation in the IV-endovascular group., Interpretation: An IV-endovascular approach is associated with higher recanalisation rates than is IV alteplase in patients with stroke and confirmed arterial occlusion. In patients treated with an IV-endovascular approach, a shorter time from symptom onset to recanalisation is associated with better clinical outcomes.

Published
2009
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41. [Multiple sclerosis and familial Mediterranean fever: a case report].

Author

Guinet A, Grateau G, Nifle C, Rozier A, and Pico F

Subjects
Adult, Brain pathology, Colchicine therapeutic use, Diplopia etiology, Familial Mediterranean Fever drug therapy, Familial Mediterranean Fever pathology, Humans, Magnetic Resonance Imaging, Male, Multiple Sclerosis pathology, Familial Mediterranean Fever complications, Multiple Sclerosis complications
Abstract

Introduction: Few cases of patients with both Familial Mediterranean Fever (FMF) and Multiple Sclerosis (MS) have been reported, mainly from Turkey. Central nervous system manifestations are rare in FMF., Case Report: We report the case of a 37-year-old right-handed man with FMF diagnosed at 17 the age of years and successfully treated with colchicine. The patient was born in Algeria and lived in France since he was four years old. He had a brother who had multiple sclerosis. When the patient was 23 years old, he experienced diplopia and leg numbness that resolved spontaneously without treatment. Ten years later, new neurological events appeared every six months and were treated with corticoid-steroids. The diagnosis of MS was made. In 2006, he was hospitalized for new explorations in order to search for neuro-Behçet's disease, because of the development of a canker sore. There was no argument for neuro-Behçet's disease., Discussion: Neurological complications of FMF are rare. It is important to rule out a neuro-Behçet disease in a FMF patient with neurological disorders. Previous studies and case reports on the association between FMF and MS have failed to draw a clear conclusion as to whether this is a true association or a simple coincidence. In our patient's clinical situation, we found no argument for changing the treatment of MS and FMF.

Published
2008
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42. A transient ischaemic attack clinic with round-the-clock access (SOS-TIA): feasibility and effects.

Author

Lavallée PC, Meseguer E, Abboud H, Cabrejo L, Olivot JM, Simon O, Mazighi M, Nifle C, Niclot P, Lapergue B, Klein IF, Brochet E, Steg PG, Lesèche G, Labreuche J, Touboul PJ, and Amarenco P

Subjects
Anticoagulants therapeutic use, Atrial Fibrillation complications, Atrial Fibrillation drug therapy, Brain diagnostic imaging, Brain pathology, Carotid Artery Diseases complications, Carotid Artery Diseases surgery, Cerebral Revascularization, Feasibility Studies, Humans, Incidence, Ischemic Attack, Transient complications, Ischemic Attack, Transient etiology, Magnetic Resonance Imaging, Stroke epidemiology, Stroke etiology, Time Factors, Tomography, X-Ray Computed, Circadian Rhythm, Emergency Medical Services, Ischemic Attack, Transient diagnosis, Ischemic Attack, Transient therapy, Neurology, Outpatient Clinics, Hospital, Stroke prevention & control
Abstract

Background: Diagnosis and treatment of cerebral and retinal transient ischaemic attacks (TIAs) are often delayed by the lack of immediate access to a dedicated TIA clinic. We evaluated the effects of rapid assessment of patients with TIA on clinical decision making, length of hospital stay, and subsequent stroke rates., Methods: We set up SOS-TIA, a hospital clinic with 24-h access. Patients were admitted if they had sudden retinal or cerebral focal symptoms judged to relate to ischaemia and if they made a total recovery. Assessment, which included neurological, arterial, and cardiac imaging, was within 4 h of admission. A leaflet about TIA with a toll-free telephone number for SOS-TIA was sent to 15 000 family doctors, cardiologists, neurologists, and ophthalmologists in Paris and its administrative region. Endpoints were stroke within 90 days, and stroke, myocardial infarction, and vascular death within 1 year., Findings: Between January, 2003, and December, 2005, we admitted 1085 patients with suspected TIA; 574 (53%) were seen within 24 h of symptom onset. 701 (65%) patients had confirmed TIA or minor stroke, and 144 (13%) had possible TIA. 108 (17%) of the 643 patients with confirmed TIA had brain tissue damage. Median duration of symptoms was 15 min (IQR 5-75 min). Of the patients with confirmed or possible TIA, all started a stroke prevention programme, 43 (5%) had urgent carotid revascularisation, and 44 (5%) were treated for atrial fibrillation with anticoagulants. 808 (74%) of all patients seen were sent home on the same day. The 90-day stroke rate was 1.24% (95% CI 0.72-2.12), whereas the rate predicted from ABCD(2) scores was 5.96%., Interpretation: Use of TIA clinics with 24-h access and immediate initiation of preventive treatment might greatly reduce length of hospital stay and risk of stroke compared with expected risk.

Published
2007
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43. [Transient high-intensity T2 signal in the splenium of the corpus callosum in a non-epileptic patient].

Author

Nifle C, Couratier M, Jallade C, Sarfati Y, Mignon F, and Pico F

Subjects
Antimanic Agents therapeutic use, Carbamazepine analogs & derivatives, Carbamazepine therapeutic use, Diffusion Magnetic Resonance Imaging, Electroconvulsive Therapy, Female, Humans, Magnetic Resonance Imaging, Middle Aged, Oxcarbazepine, Bipolar Disorder pathology, Corpus Callosum pathology
Abstract

Transient splenial lesions of the corpus callosum have been mainly reported in epileptic patients. We report the case of a non-epileptic woman with bipolar affective disorder treated by oxcarbazepine which was withdrawn because of a mild hyponatremia (128 mmol/l). A confusional state followed withdrawal and the electroencephalogram was free of spike or sharp waves. Brain MRI showed a single splenial lesion of the corpus callosum revealed by a high intensity T2 signal on FLAIR and diffusion sequences. Because of a major depressive episode, twelve sessions of electroconvulsive therapy were performed and yielded clinical improvement. A second brain MRI performed 5 weeks later was normal. The relevances of this cases are the non-epileptic status of the patient, the drug incriminated (oxcarbazepine), and the normalisation of brain MRI despite electroconvulsive therapy. Different mechanisms of this brain MRI abnormality are discussed including the sudden withdraw of oxcarbazepine. Prognosis of transient splenial lesions of the corpus callosum is good. Clinicians should search for recent metabolic disorders and therapeutic modifications.

Published
2007
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44. [Cerebellar infarction after sclerotherapy for leg varicosities].

Author

Kas A, Begue M, Nifle C, Gil R, and Neau JP

Subjects
Brain Infarction diagnosis, Cerebellar Diseases diagnosis, Female, Humans, Middle Aged, Risk Factors, Brain Infarction etiology, Cerebellar Diseases etiology, Sclerotherapy adverse effects, Varicose Veins therapy
Published
2000

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