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2. OP0135 MULTI-OMIC STUDY IN PATIENTS WITH SITRAME SYNDROME

Author

Zhu, Y. Y. J., primary, Soria, A., additional, Amsler, E., additional, Barbaud, A., additional, Rahal, F., additional, Chantran, Y., additional, Moreau, T., additional, Cescato, M., additional, Maillet, F., additional, Korganow, A. S., additional, Dieudonné, Y., additional, Boursier, G., additional, Miyara, M., additional, Cretet, C., additional, Haddouche, A., additional, Beziat, V., additional, Deswarte, C., additional, Duffy, D., additional, Georgin-Lavialle, S., additional, and Rodero, M. P., additional

Published
2024
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3. 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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6. 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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7. Urinary tract infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

Author

Donzé, C., Papeix, C., Lebrun-Frénay, C., Collongues, N., de Seze, M., Dinh, A., Even, A., Scheiber-Nogueira, C., Bensa, C., Bourre, B., Carra-Dallière, C., Ciron, J., Cohen, M., Guennoc, A.M., Louapre, C., Lebreton, F., Michel, L., Maillart, E., Audoin, B., Ayrignac, X., Bernady, P., Brochet, B., Clavelou, P., Colamarino, R., Declemy, A., de Seze, J., Derache, N., Faucheux, J.-M., Heinzlef, O., Labauge, P., Laplaud, D., Lepage, E., Leray, E., Magy, L., Mathey, G., Mekies, C., Mondain, V., Planque, E., Pelletier, J., Pittion, S., Stankhof, B., Tournaire, P., Thouvenot, E., Vukusic, S., Wiertlevski, S., Zephir, H., Alchaar, H., Androdias, G., Benazet, M., Bensmail, D., Biotti, D., Blanchard-Dauphin, A., Bonnan, M., Boutière, C., Branger, P., Bresch, S., Bru, J.-P., Camdessanché, J.-P., Castel Canal, E., Coustans, M., Casez, O., Castan, B., Creange, A., Creisson, E., De Broucker, T., Depaz, R., Douay, X., Dulau, C., Durand-Dubief, F., Fagniez, O., Faucher, M., Floch, A., Fournier, M., Fromont, A., Gallien, P., Gamé, X., Gault, D., Gayou, A., Giroux, M., Gout, O., Grimaud, J., Hautecoeur, P., Kerbrat, A., Kremer, L., Kwiatkowski, A., Labeyrie, C., Lachaud, S., Lanctin-Garcia, C., Lanotte, L., Manchon, E., Maurousset, A., Milor, A.-M., Moisset, X., Mont-Cuquet, A., Moreau, T., Ouallet, J.-C., Patry, I., Peaureaux, D., Pouget, M.-C., Pourcher Martinez, V., Radot, C., Ruet, A., Saint-Val, C., Salmon, A., Taithe, F., Tatevin, P., Vaillant, M., Stahl, J.-P., Vuoto, F., Zaenker, C., and Lebrun-Frenay, C.

Published
2020
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10. Immunization and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

Author

Abadie, V., Achour, C., Ader, F., Alchaar, H., Alkhedr, A., Andreux, F., Androdias, G., Arjmand, R., Audoin, B., Audry, D., Aufauvre, D., Autreaux, C., Ayrignac, X., Bailbe, M., Benazet, M., Bensa, C., Bensmail, D., Berger, E., Bernady, P., Bertagna, Y., Biotti, D., Blanchard-Dauphin, A., Bonenfant, J., Bonnan, M., Bonnemain, B., Borgel, F., Botelho-Nevers, E., Boucly, S., Bourre, B., Boutière, C., Branger, P., Brassat, D., Bresch, S., Breuil, V., Brochet, B., Brugeilles, H., Bugnon, P., Cabre, P., Camdessanché, J.-P., Carra-Dalière, C., Casez, O., Chamouard, J.-M., Chassande, B., Chataignier, P., Chbicheb, M., Chenet, A., Ciron, J., Clavelou, P., Cohen, M., Colamarino, R., Collongues, N., Coman, I., Corail, P.-R., Courtois, S., Coustans, M., Creange, A., Creisson, E., Daluzeau, N., Davenas, C., De Seze, J., Debouverie, M., Depaz, R., Derache, N., Divio, L., Douay, X., Dulau, C., Durand-Dubief, F., Edan, G., Elias, Z., Fagniez, O., Faucher, M., Faucheux, J.-M., Fournier, M., Gagneux-Brunon, A., Gaida, P., Galli, P., Gallien, P., Gaudelus, J., Gault, D., Gayou, A., Genevray, M., Gentil, A., Gere, J., Gignoux, L., Giroux, M., Givron, P., Gout, O., Grimaud, J., Guennoc, A.-M., Hadhoum, N., Hautecoeur, P., Heinzlef, O., Jaeger, M., Jeannin, S., Kremer, L., Kwiatkowski, A., Labauge, P., Labeyrie, C., Lachaud, S., Laffont, I., Lanctin-Garcia, C., Lannoy, J., Lanotte, L., Laplaud, D., Latombe, D., Lauxerois, M., Le Page, E., Lebrun-Frenay, C., Lejeune, P., Lejoyeux, P., Lemonnier, B., Leray, E., Loche, C.-M., Louapre, C., Lubetzki, C., Maarouf, A., Mada, B., Magy, L., Maillart, E., Manchon, E., Marignier, R., Marque, P., Mathey, G., Maurousset, A., Mekies, C., Merienne, M., Michel, L., Milor, A.-M., Moisset, X., Montcuquet, A., Moreau, T., Morel, N., Moussa, M., Naudillon, J.-P., Normand, M., Olive, P., Ouallet, J.-C., Outteryck, O., Pacault, C., Papeix, C., Patry, I., Peaureaux, D., Pelletier, J., Pichon, B., Pittion, S., Planque, E., Pouget, M.-C., Pourcher, V., Radot, C., Robert, I., Rocher, F., Ruet, A., Saint-Val, C., Salle, J.-Y., Salmon, A., Sartori, E., Schaeffer, S., Stankhof, B., Taithe, F., Thouvenot, E., Tizon, C., Tourbah, A., Tourniaire, P., Vaillant, M., Vermersch, P., Vidil, S., Wahab, A., Warter, M.-H., Wiertlewski, S., Wiplosz, B., Wittwer, B., Zaenker, C., Zephir, H., Lebrun, C., and Vukusic, S.

Published
2019
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21. The THEMIS Magnetic Cleanliness Program

Author

Ludlam, M., Angelopoulos, V., Taylor, E., Snare, R. C., Means, J. D., Ge, Y. S., Narvaez, P., Auster, H. U., Le Contel, O., Larson, D., Moreau, T., Burch, J. L., editor, and Angelopoulos, V., editor

Published
2009
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24. Oxysterols and multiple sclerosis: Physiopathology, evolutive biomarkers and therapeutic strategy

Author

Vejux, A, Ghzaiel, I, Nury, T, Schneider, V, Charriere, K, Sghaier, R, Zarrouk, A, Leoni, V, Moreau, T, Lizard, G, Vejux A., Ghzaiel I., Nury T., Schneider V., Charriere K., Sghaier R., Zarrouk A., Leoni V., Moreau T., Lizard G., Vejux, A, Ghzaiel, I, Nury, T, Schneider, V, Charriere, K, Sghaier, R, Zarrouk, A, Leoni, V, Moreau, T, Lizard, G, Vejux A., Ghzaiel I., Nury T., Schneider V., Charriere K., Sghaier R., Zarrouk A., Leoni V., Moreau T., and Lizard G.

Abstract

Multiple sclerosis is an autoimmune disease that affects the central nervous system. Dysfunction of the immune system leads to lesions that cause motor, sensory, cognitive, visual and/or sphincter disturbances. In the long term, these disorders can progress towards an irreversible handicap. The diagnosis takes time because there are no specific criteria to diagnose multiple sclerosis. To realize the diagnosis, a combination of clinical, biological, and radiological arguments is therefore required. Hence, there is a need to identify multiple sclerosis biomarkers. Some biomarkers target immunity through the detection of oligoclonal bands, the measurement of the IgG index and cytokines. During the physiopathological process, the blood-brain barrier can be broken, and this event can be identified by measuring metalloproteinase activity and diffusion of gadolinium in the brain by magnetic resonance imaging. Markers of demyelination and of astrocyte and microglial activity may also be of interest as well as markers of neuronal damage and mitochondrial status. The measurement of different lipids in the plasma and cerebrospinal fluid can also provide suitable information. These different lipids include fatty acids, fatty acid peroxidation products, phospholipids as well as oxidized derivatives of cholesterol (oxysterols). Oxysterols could constitute new biomarkers providing information on the form of multiple sclerosis, the outcome of the disease and the answer to treatment.

Published
2021

29. Disease Reactivation After Cessation of Disease-Modifying Therapy in Patients With Relapsing-Remitting Multiple Sclerosis.

Author

Roos I., Malpas C., Leray E., Casey R., Horakova D., Havrdova E.K., Debouverie M., Patti F., De Seze J., Izquierdo G., Eichau S., Edan G., Prat A., Girard M., Ozakbas S., Grammond P., Zephir H., Ciron J., Maillart E., Moreau T., Amato M.P., Labauge P., Alroughani R., Buzzard K., Skibina O., Terzi M., Laplaud D.A., Berger E., Grand'Maison F., Lebrun-Frenay C., Cartechini E., Boz C., Lechner-Scott J., Clavelou P., Stankoff B., Prevost J., Kappos L., Pelletier J., Shaygannejad V., Yamout B.I., Khoury S.J., Gerlach O., Spitaleri D.L.A., Van Pesch V., Gout O., Turkoglu R., Heinzlef O., Thouvenot E., McCombe P.A., Soysal A., Bourre B., Slee M., Castillo-Trivino T., Bakchine S., Ampapa R., Butler E.G., Wahab A., Macdonell R.A., Aguera-Morales E., Cabre P., Ben N.H., Van der Walt A., Laureys G., Van Hijfte L., Ramo-Tello C.M., Maubeuge N., Hodgkinson S., Sanchez-Menoyo J.L., Barnett M.H., Labeyrie C., Vucic S., Sidhom Y., Gouider R., Csepany T., Sotoca J., de Gans K., Al-Asmi A., Fragoso Y.D., Vukusic S., Butzkueven H., Kalincik T., Roos I., Malpas C., Leray E., Casey R., Horakova D., Havrdova E.K., Debouverie M., Patti F., De Seze J., Izquierdo G., Eichau S., Edan G., Prat A., Girard M., Ozakbas S., Grammond P., Zephir H., Ciron J., Maillart E., Moreau T., Amato M.P., Labauge P., Alroughani R., Buzzard K., Skibina O., Terzi M., Laplaud D.A., Berger E., Grand'Maison F., Lebrun-Frenay C., Cartechini E., Boz C., Lechner-Scott J., Clavelou P., Stankoff B., Prevost J., Kappos L., Pelletier J., Shaygannejad V., Yamout B.I., Khoury S.J., Gerlach O., Spitaleri D.L.A., Van Pesch V., Gout O., Turkoglu R., Heinzlef O., Thouvenot E., McCombe P.A., Soysal A., Bourre B., Slee M., Castillo-Trivino T., Bakchine S., Ampapa R., Butler E.G., Wahab A., Macdonell R.A., Aguera-Morales E., Cabre P., Ben N.H., Van der Walt A., Laureys G., Van Hijfte L., Ramo-Tello C.M., Maubeuge N., Hodgkinson S., Sanchez-Menoyo J.L., Barnett M.H., Labeyrie C., Vucic S., Sidhom Y., Gouider R., Csepany T., Sotoca J., de Gans K., Al-Asmi A., Fragoso Y.D., Vukusic S., Butzkueven H., and Kalincik T.

Abstract

OBJECTIVES: To evaluate the rate of return of disease activity after cessation of multiple sclerosis (MS) disease-modifying therapy. METHOD(S): This was a retrospective cohort study from two large observational MS registries: MSBase and OFSEP. Patients with relapsing-remitting MS who had ceased a disease-modifying therapy and were followed up for the subsequent 12-months were included in the analysis. The primary study outcome was annualised relapse rate in the 12 months after disease-modifying therapy discontinuation stratified by patients who did, and did not, commence a subsequent therapy. The secondary endpoint was the predictors of first relapse and disability accumulation after treatment discontinuation. RESULT(S): 14,213 patients, with 18,029 eligible treatment discontinuation epochs, were identified for seven therapies. Annualised rates of relapse (ARR) started to increase 2-months after natalizumab cessation (month 2-4 ARR, 95% confidence interval): 0.47, 0.43-0.51). Commencement of a subsequent therapy within 2-4 months reduced the magnitude of disease reactivation (mean ARR difference: 0.15, 0.08-0.22). After discontinuation of fingolimod, rates of relapse increased overall (month 1-2 ARR: 0.80, 0.70-0.89), and stabilised faster in patients who started a new therapy within 1-2 months (mean ARR difference: 0.14, -0.01-0.29). Magnitude of disease reactivation for other therapies was low, but reduced further by commencement of another treatment 1-10 months after treatment discontinuation. Predictors of relapse were higher relapse rate in the year before cessation, female sex, younger age and higher EDSS. Commencement of a subsequent therapy reduced both the risk of relapse (HR 0.76, 95%CI 0.72-0.81) and disability accumulation (0.73, 0.65-0.80). CONCLUSION(S): The rate of disease reactivation after treatment cessation differs among MS treatments, with the peaks of relapse activity ranging from 1 to 10 months in untreated cohorts that discontinued different t

Published
2022

30. 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

31. Disease Reactivation After Cessation of Disease-Modifying Therapy in Patients With Relapsing-Remitting Multiple Sclerosis

Author

Roos, I, Malpas, C, Leray, E, Casey, R, Horakova, D, Havrdova, EK, Debouverie, M, Patti, F, De Seze, J, Izquierdo, G, Eichau, S, Edan, G, Prat, A, Girard, M, Ozakbas, S, Grammond, P, Zephir, H, Ciron, J, Maillart, E, Moreau, T, Amato, MP, Labauge, P, Alroughani, R, Buzzard, K, Skibina, O, Terzi, M, Laplaud, DA, Berger, E, Grand'Maison, F, Lebrun-Frenay, C, Cartechini, E, Boz, C, Lechner-Scott, J, Clavelou, P, Stankoff, B, Prevost, J, Kappos, L, Pelletier, J, Shaygannejad, V, Yamout, B, Khoury, SJ, Gerlach, O, Spitaleri, DLA, Van Pesch, V, Gout, O, Turkoglu, R, Heinzlef, O, Thouvenot, E, McCombe, PA, Soysal, A, Bourre, B, Slee, M, Castillo-Trivino, T, Bakchine, S, Ampapa, R, Butler, EG, Wahab, A, Macdonell, RA, Aguera-Morales, E, Cabre, P, Ben, NH, Van der Walt, A, Laureys, G, Van Hijfte, L, Ramo-Tello, CM, Maubeuge, N, Hodgkinson, S, Sanchez-Menoyo, JL, Barnett, MH, Labeyrie, C, Vucic, S, Sidhom, Y, Gouider, R, Csepany, T, Sotoca, J, de Gans, K, Al-Asmi, A, Fragoso, YD, Vukusic, S, Butzkueven, H, Kalincik, T, Roos, I, Malpas, C, Leray, E, Casey, R, Horakova, D, Havrdova, EK, Debouverie, M, Patti, F, De Seze, J, Izquierdo, G, Eichau, S, Edan, G, Prat, A, Girard, M, Ozakbas, S, Grammond, P, Zephir, H, Ciron, J, Maillart, E, Moreau, T, Amato, MP, Labauge, P, Alroughani, R, Buzzard, K, Skibina, O, Terzi, M, Laplaud, DA, Berger, E, Grand'Maison, F, Lebrun-Frenay, C, Cartechini, E, Boz, C, Lechner-Scott, J, Clavelou, P, Stankoff, B, Prevost, J, Kappos, L, Pelletier, J, Shaygannejad, V, Yamout, B, Khoury, SJ, Gerlach, O, Spitaleri, DLA, Van Pesch, V, Gout, O, Turkoglu, R, Heinzlef, O, Thouvenot, E, McCombe, PA, Soysal, A, Bourre, B, Slee, M, Castillo-Trivino, T, Bakchine, S, Ampapa, R, Butler, EG, Wahab, A, Macdonell, RA, Aguera-Morales, E, Cabre, P, Ben, NH, Van der Walt, A, Laureys, G, Van Hijfte, L, Ramo-Tello, CM, Maubeuge, N, Hodgkinson, S, Sanchez-Menoyo, JL, Barnett, MH, Labeyrie, C, Vucic, S, Sidhom, Y, Gouider, R, Csepany, T, Sotoca, J, de Gans, K, Al-Asmi, A, Fragoso, YD, Vukusic, S, Butzkueven, H, and Kalincik, T

Abstract

BACKGROUND AND OBJECTIVES: To evaluate the rate of return of disease activity after cessation of multiple sclerosis (MS) disease-modifying therapy. METHODS: This was a retrospective cohort study from 2 large observational MS registries: MSBase and OFSEP. Patients with relapsing-remitting MS who had ceased a disease-modifying therapy and were followed up for the subsequent 12 months were included in the analysis. The primary study outcome was annualized relapse rate in the 12 months after disease-modifying therapy discontinuation stratified by patients who did, and did not, commence a subsequent therapy. The secondary endpoint was the predictors of first relapse and disability accumulation after treatment discontinuation. RESULTS: A total of 14,213 patients, with 18,029 eligible treatment discontinuation epochs, were identified for 7 therapies. Annualized rates of relapse (ARRs) started to increase 2 months after natalizumab cessation (month 2-4 ARR 0.47, 95% CI 0.43-0.51). Commencement of a subsequent therapy within 2-4 months reduced the magnitude of disease reactivation (mean ARR difference: 0.15, 0.08-0.22). After discontinuation of fingolimod, rates of relapse increased overall (month 1-2 ARR: 0.80, 0.70-0.89) and stabilized faster in patients who started a new therapy within 1-2 months (mean ARR difference: 0.14, -0.01 to 0.29). The magnitude of disease reactivation for other therapies was low but reduced further by commencement of another treatment 1-10 months after treatment discontinuation. Predictors of relapse were a higher relapse rate in the year before cessation, female sex, younger age, and higher EDSS score. Commencement of a subsequent therapy reduced both the risk of relapse (HR 0.76, 95% CI 0.72-0.81) and disability accumulation (0.73, 0.65-0.80). DISCUSSION: The rate of disease reactivation after treatment cessation differs among MS treatments, with the peaks of relapse activity ranging from 1 to 10 months in untreated cohorts that discontinued di

Published
2022

32. 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

36. Introduction

Author

Paré, M., Bruning, M.R., Moreau, T., and Siffrein-Blanc, C.

Published
2022

38. Facteurs pronostiques et effet des traitements dans la sarcoïdose médullaire : une cohorte de 97 patients avec suivi à long terme

Author

Gavoille, A., primary, Desbois, A.C., additional, Joubert, B., additional, Durel, C.A., additional, Auvens, C., additional, Berthoux, E., additional, Delboy, T., additional, Dufour, J.F., additional, Turcu, A., additional, Bonnotte, B., additional, Moreau, T., additional, Le Guenno, G., additional, Andre, M., additional, Ruivard, M., additional, Camdessanche, J.P., additional, Antoine, J.C., additional, Marignier, R., additional, Chapelon-Abric, C., additional, Saadoun, D., additional, and Sève, P., additional

Published
2021
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39. 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

44. Infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

Author

Papeix, C., primary, Donze, C., additional, Lebrun-Frénay, C., additional, Papeix, C., additional, Donzé, C., additional, Laplaud, D., additional, Thouvenot, E., additional, Ayrignac, X., additional, Pourcher-Martinez, V., additional, Zéphir, H., additional, de Seze, J., additional, Michel, L., additional, Bensa, C., additional, Cara-Dalliere, C., additional, Guen-noc, A.M., additional, Casez, O., additional, Maarouf, A., additional, Bourre, B., additional, Kwiatkowski, A., additional, Cohen, M., additional, Maillart, E., additional, Collongues, N., additional, Louapre, C., additional, Androdias, G., additional, Guegen, A., additional, Audoin, B., additional, Mattey, G., additional, Bernady, P., additional, Faucheux, J.M., additional, Labauge, P., additional, Meckies, C., additional, Stankoff, B., additional, Tourniaire, P., additional, Dinh, A., additional, Guennoc, A.M., additional, Durnad-Dubief, F., additional, Wiertlewski, S., additional, Derache, N., additional, Le page, E., additional, Pittion, S., additional, Vukusic, S., additional, Clavelou, P., additional, Heinzlef, O., additional, Colamarino, R., additional, Planque, E., additional, Rico, A., additional, Sheiber nogueira, C., additional, de Seze, M., additional, Ciron, J., additional, Alchaar, H., additional, Bensmail, D., additional, Biotti, D., additional, Branger, P., additional, Brochet, B., additional, Castan, B., additional, Creange, A., additional, Creisson, E., additional, DeBroucker, T., additional, Depaz, R., additional, Douay, X., additional, Dulau, C., additional, Faucher, M., additional, Fournier, M., additional, Fromont, A., additional, Gallien, P., additional, Gout, O., additional, Grimaud, J., additional, Hervé, Y., additional, Kerbrat, A., additional, Kremer, L., additional, Lanotte, L., additional, Magy, L., additional, Mania, A., additional, Maurousset, A., additional, Moisset, X., additional, Montcuquet, A., additional, Moreau, T., additional, Morel, N., additional, Patry, I., additional, Peaureaux, D., additional, Pouget, M.C., additional, Ruet, A., additional, Saint-Val, C., additional, Stahl, J.P., additional, Taithe, F., additional, Tattevin, P., additional, Vaillant, M., additional, and Vuoto, F., additional

Published
2021
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