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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. Carrefour des spécialités : autogreffe de cellules souches hématopoïétiques périphériques pour la prise en charge thérapeutique des polyradiculonévrites inflammatoires démyélinisantes chroniques

Author: Urbain, F., Labeyrie, C., Castilla-Llorente, C., Cintas, P., Puma, A., Maubeuge, N., Puyade, M., and Farge, D.
Published: 2021
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3. French validation of the Brief International Cognitive Assessment for Multiple Sclerosis

Author: Maubeuge, N., Deloire, M.S.A., Brochet, B., Ehrlé, N., Charré-Morin, J., Saubusse, A., and Ruet, A.
Published: 2021
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4. 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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5. 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

6. 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

7. 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

8. 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

9. 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
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10. 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

11. 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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12. 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
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13. 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
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14. 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
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15. 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
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16. 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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17. 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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18. 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 BI, 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, Sánchez-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
Subjects: Humans, Female, Natalizumab therapeutic use, Fingolimod Hydrochloride therapeutic use, Retrospective Studies, Recurrence, Immunosuppressive Agents adverse effects, Multiple Sclerosis, Relapsing-Remitting drug therapy, Multiple Sclerosis, Relapsing-Remitting epidemiology, Multiple Sclerosis chemically induced
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 different therapies. These results suggest that untreated intervals should be minimized after stopping antitrafficking therapies (natalizumab and fingolimod)., Classification of Evidence: This study provides Class III that disease reactivation occurs within months of discontinuation of MS disease-modifying therapies. The risk of disease activity is reduced by commencement of a subsequent therapy., (© 2022 American Academy of Neurology.)
Published: 2022
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19. Validation of a Brief Computerized Cognitive Assessment in Multiple Sclerosis (BCCAMS) and comparison with reference batteries.

Author: Maubeuge N, Deloire MS, Brochet B, Charré-Morin J, Saubusse A, and Ruet A
Subjects: Cognition, Humans, Neuropsychological Tests, Reproducibility of Results, Cognition Disorders diagnosis, Cognitive Dysfunction diagnosis, Cognitive Dysfunction etiology, Memory, Episodic, Multiple Sclerosis complications, Multiple Sclerosis diagnosis, Multiple Sclerosis psychology
Abstract: Background: The Brief Computerized Cognitive Assessment in Multiple Sclerosis (BCCAMS) is a short neuropsychological battery for persons with multiple sclerosis (PwMS)., Objectives: The main objective of the study is to validate the BCCAMS., Methods: PwMS and healthy subjects (HS) were evaluated using the BCCAMS which include two computerized tests, the Computerized Speed Cognitive Test and the Computerized Episodic Visual Memory Test (CEVMT), a newly developed visuospatial memory test, and the French learning test. The Minimal Assessment of Cognitive Function in MS (MACFIMS), including the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) tests, was also administered. Regression-based norms of the BCCAMS were calculated in 276 HS. BCCAMS was compared with BICAMS and MACFIMS for detection of cognitive impairment (CI)., Results: Out of 120 PwMS, CI was detected using the BCCAMS, BICAMS (one impaired test), and MACFIMS (two impaired tests) in 59.1%, 50%, and 37.9%, respectively. The BCCAMS produced the same predictive value as that of the BICAMS battery for detecting CI in the MACFIMS., Conclusion: This study validated the BCCAMS as a validated computerized short assessment for information processing speed and learning in MS.
Published: 2022
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20. CCR5 Blockade in Inflammatory PML and PML-IRIS Associated With Chronic Inflammatory Diseases' Treatments.

Author: Bernard-Valnet R, Moisset X, Maubeuge N, Lefebvre M, Ouallet JC, Roumier M, Lebrun-Frenay C, Ciron J, Biotti D, Clavelou P, Godeau B, Du Pasquier RA, and Martin-Blondel G
Subjects: Adult, CCR5 Receptor Antagonists administration & dosage, Female, Humans, Immune Reconstitution Inflammatory Syndrome chemically induced, Leukoencephalopathy, Progressive Multifocal chemically induced, Male, Maraviroc administration & dosage, Middle Aged, Outcome Assessment, Health Care, Retrospective Studies, Young Adult, CCR5 Receptor Antagonists pharmacology, Immune Reconstitution Inflammatory Syndrome drug therapy, Immune Reconstitution Inflammatory Syndrome prevention & control, Leukoencephalopathy, Progressive Multifocal drug therapy, Leukoencephalopathy, Progressive Multifocal prevention & control, Maraviroc pharmacology
Abstract: Background and Objectives: Progressive multifocal leukoencephalopathy (PML) is a disabling neurologic disorder resulting from the infection of the CNS by JC polyomavirus in immunocompromised individuals. For the last 2 decades, increasing use of immunotherapies leads to iatrogenic PML. Iatrogenic PML is often associated with signs of inflammation at onset (inflammatory PML) and/or after treatment withdrawal immune reconstitution inflammatory syndrome (PML-IRIS). Although immune reconstitution is a key element for viral clearance, it may also be harmful and induce clinical worsening. A C-C chemokine receptor type 5 (CCR5) antagonist (maraviroc) has been proposed to prevent and/or limit the deleterious immune responses underlying PML-IRIS. However, the data to support its use remain scarce and disputed., Methods: We conducted a multicenter retrospective cohort study at 8 university hospitals in France and Switzerland by collecting clinical, biological, and radiologic data of patients who developed inflammatory PML (iPML) or PML-IRIS related to immunosuppressive therapies used for chronic inflammatory diseases between 2010 and 2020. We added to this cohort, a meta-analysis of individual case reports of patients with iPML/PML-IRIS treated with maraviroc published up to 2021., Results: Overall, 27 cases were identified in the cohort and 9 from the literature. Among them, 27 met the inclusion criteria: 16 treated with maraviroc and 11 with standard of care (including corticosteroids use). Most cases were related to MS (92.6%) and natalizumab (88%). Inflammatory features (iPML) were present at onset in 12 patients (44.4%), and most patients (92.6%) received corticosteroids within the course of PML. Aggravation due to PML-IRIS was not prevented by maraviroc compared with patients who received only corticosteroids (adjusted odds ratio: 0.408, 95% CI: 0.06-2.63). Similarly, maraviroc did not influence time to clinical worsening due to PML-IRIS (adjusted hazard ratio = 0.529, 95% CI: 0.14-2.0) or disability at the last follow-up (adjusted odds ratio: 2, 95% CI: 0.23-17.3)., Discussion: The use of CCR5 blockade did not help to keep deleterious immune reconstitution in check even when associated with corticosteroids. Despite maraviroc's reassuring safety profile, this study does not support its use in iPML/PML-IRIS., Classification of Evidence: This study provides Class IV evidence showing that adding maraviroc to the management of iatrogenic iPML/PML-IRIS does not improve the outcome., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
Published: 2021
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21. 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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22. 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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23. [Autologous hematopoietic stem cell transplantation for chronic inflammatory demyelinating polyneuropathy].

Author: Urbain F, Labeyrie C, Castilla-Llorente C, Cintas P, Puma A, Maubeuge N, Puyade M, and Farge D
Subjects: Humans, Immunomodulation, Transplantation, Autologous, Autoimmune Diseases, Hematopoietic Stem Cell Transplantation, Polyradiculoneuropathy, Chronic Inflammatory Demyelinating diagnosis, Polyradiculoneuropathy, Chronic Inflammatory Demyelinating therapy
Abstract: Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a dysimmune neuropathy with sensory and/or motor symptoms due to destruction of the myelin sheat secondary to an auto-immune attack. A quarter to a third of patients do not respond to immunomodulatory first line recommended therapies. No second line treatment has shown its effectiveness with a sufficient level of evidence. Autologous hematopoietic stem cell transplantation (AHSCT) is a promising therapy for autoimmune disease, especially for CIDP in recent works. We present in this article an update on the diagnosis of CIDP, its conventional treatments as well as the results of AHSCT in this indication, which was the subject of French recommendations under the aegis of the SFGMTC and neuromuscular disease french faculty (FILNEMUS) as a third line therapy after failure of two first-line and one second-line treatments., (Copyright © 2021 Société Nationale Française de Médecine Interne (SNFMI). Published by Elsevier Masson SAS. All rights reserved.)
Published: 2021
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24. 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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25. 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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26. Hematopoietic stem cell transplantation in chronic inflammatory demyelinating polyneuropathy: French experience about four patients, under the behalf of French society for bone marrow transplantation.

Author: Urbain F, Puyade M, Labeyrie C, Maubeuge N, Puma A, Cintas P, Pugnet G, Castilla-Llorente C, Adams D, and Farge-Bancel D
Subjects: Bone Marrow Transplantation, Humans, Transplantation, Homologous, Hematopoietic Stem Cell Transplantation, Polyradiculoneuropathy, Chronic Inflammatory Demyelinating therapy
Published: 2021
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27. Validation of the French version of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS).

Author: Maubeuge N, Deloire MSA, Brochet B, Ehrlé N, Charré-Morin J, Saubusse A, and Ruet A
Subjects: Cognition, Humans, Neuropsychological Tests, Cognition Disorders, Multiple Sclerosis complications, Multiple Sclerosis diagnosis, Multiple Sclerosis, Chronic Progressive diagnosis
Abstract: Background: The Minimal Assessment of Cognitive Function in Multiple sclerosis (MACFIMS) is an internationally recognised battery of neuropsychological tests for patients with multiple sclerosis (MS)., Objectives: To establish regression-based norms for the MACFIMS in French-speaking healthy subjects (HS) and validate its use in persons with multiple sclerosis (PwMS)., Methods: 136 PwMS, including 43 with relapsing-remitting MS, 46 with secondary progressive MS and 45 with primary progressive MS, as well as 276 HS were enrolled. Regression-based norms and validity were established for the seven tests of the MACIMS: the Symbol Digit Modalities Test (SDMT), the Paced Auditory Serial Addition Test (PASAT), the French learning test (FLT) a French-adapted memory test (or the California Verbal Learning Test (CVLT) at re-testing), the Judgment of Line Orientation Test (JLO), the 'épreuve de classement de cartes de Champagne' (ECCC), a French adaptation of the DKEF-sorting test, the Brief Visuospatial Memory Test (BVMT-R) and the Controlled Oral Word Association Test (COWAT)., Results: Regression-based norms of MACFIMS tests were established in the HS population. The MACFIMS battery was able to identify cognitive impairment (CI) (at least two abnormal tests in different domains) in 32.7% of PwMS. The domains with more frequent impairment were (in descending order): learning followed by IPS, delayed memory, verbal fluency and working memory., Conclusion: This study established the regression-based norms for French subjects of the French adaptation of the MACFIMS and its validity in PwMS., (Copyright © 2020. Published by Elsevier B.V.)
Published: 2021
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28. Frequency and characteristics of short versus longitudinally extensive myelitis in adults with MOG antibodies: A retrospective multicentric study.

Author: Ciron J, Cobo-Calvo A, Audoin B, Bourre B, Brassat D, Cohen M, Collongues N, Deschamps R, Durand-Dubief F, Laplaud D, Maillart E, Papeix C, Zephir H, Bereau M, Brochet B, Carra-Dallière C, Derache N, Gagou-Scherer C, Henry C, Kerschen P, Mathey G, Maubeuge N, Maurousset A, Montcuquet A, Moreau T, Prat C, Taithe F, Thouvenot E, Tourbah A, Rollot F, Vukusic S, and Marignier R
Subjects: Adult, Aged, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Prognosis, Retrospective Studies, Young Adult, Autoantibodies, Disease Progression, Myelin-Oligodendrocyte Glycoprotein immunology, Myelitis diagnosis, Myelitis immunology, Myelitis pathology, Myelitis physiopathology, Registries, Severity of Illness Index
Abstract: Objectives: We aim to (1) determine the frequency and distinctive features of short myelitis (SM) and longitudinally extensive transverse myelitis (LETM) in a cohort of adults with myelin oligodendrocyte glycoprotein (MOG)-antibody (Ab)-associated myelitis and (2) determine baseline prognostic factors among MOG-Ab-positive patients whose disease started with myelitis., Material and Methods: We retrospectively analyzed clinical and paraclinical variables from a multicentric French cohort of adults with MOG-Ab-associated myelitis. At last follow-up, patients were classified into two groups according to the severity of the Expanded Disability Status Scale (EDSS) as ⩽2.5 or ⩾3.0., Results: Seventy-three patients with at least one episode of myelitis over disease course were included; among them, 28 (38.4%) presented with SM at the time of the first myelitis. Motor and sphincter involvement was less frequently observed in SM (51.9% and 48.2%, respectively) than in LETM patients (83.3% and 78.6%, respectively), p = 0.007 and p = 0.017; 61% of LETM patients displayed brain lesions compared to 28.6% in the SM group, p = 0.008, and the thoracic segment was more frequently involved in the LETM (82.2%) than in the SM group (39.3%), p < 0.001. EDSS at last follow-up was higher in LETM (median 3.0 (interquartile range: 2.0-4.0)) compared to SM patients (2.0, (1.0-3.0)), p = 0.042. Finally, a higher EDSS at onset was identified as the only independent risk factor for EDSS ⩾3.0 (odds ratio, 1.40, 95% confidence interval (CI): 1.01-1.95, p = 0.046)., Conclusion: SM in MOG-Ab-associated disease is not rare. The severity at onset was the only independent factor related to the final prognosis in MOG-Ab-associated myelitis.
Published: 2020
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29. Area postrema syndrome: Another feature of anti-GFAP encephalomyelitis.

Author: Ciron J, Sourdrille F, Biotti D, Tchoumi T, Ruiz A, Bernard-Valnet R, Maubeuge N, and Marignier R
Subjects: Adult, Autoantigens immunology, Encephalomyelitis complications, Encephalomyelitis pathology, Female, Humans, Nausea immunology, Syndrome, Vomiting immunology, Area Postrema, Autoantibodies immunology, Encephalomyelitis immunology, Glial Fibrillary Acidic Protein immunology
Abstract: Anti-Glial fibrillary acidic protein (GFAP) encephalomyelitis is a recently described entity and while the spectrum of this disease has been explored, further research is needed to fully describe its phenotype. Area postrema syndrome (APS) is usually associated with neuromyelitis optica spectrum disorders (NMOSDs), whereas no case of APS has been previously reported with anti-GFAP encephalomyelitis. In this article, we report a case of APS in a 41-year-old woman in the context of anti-GFAP encephalomyelitis. This case was not associated with additional anti-AQP4 IgG and therefore extends the clinico-radiological spectrum of anti-GFAP encephalomyelitis.
Published: 2020
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30. 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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31. 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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32. 1 H- 31 P magnetic resonance spectroscopy: effect of biotin in multiple sclerosis.

Author: Guillevin C, Agius P, Naudin M, Herpe G, Ragot S, Maubeuge N, Philippe Neau J, and Guillevin R
Subjects: Female, Humans, Magnetic Resonance Spectroscopy, Male, Middle Aged, Multiple Sclerosis, Chronic Progressive diagnostic imaging, Multiple Sclerosis, Chronic Progressive metabolism, Biotin metabolism, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis metabolism
Abstract: Biotin is thought to improve functional impairment in progressive multiple sclerosis (MS) by upregulating bioenergetic metabolism. We enrolled 19 patients suffering from progressive MS (5 primary and 14 secondary Progressive-MS). Using cerebral multinuclear magnetic resonance spectroscopy (MMRS) and clinical evaluation before and after 6 months of biotin cure, we showed significant modifications of: PME/PDE, ATP, and lactate resonances; an improvement of EDSS Neuroscore. Our results are consistent with metabolic pathways concerned with biotin action and could suggest the usefulness of MMRS for monitoring., (© 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.)
Published: 2019
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33. The coexistence of recurrent cerebral tumefactive demyelinating lesions with longitudinally extensive transverse myelitis and demyelinating neuropathy.

Author: Ciron J, Carra-Dallière C, Ayrignac X, Neau JP, Maubeuge N, and Labauge P
Subjects: Demyelinating Autoimmune Diseases, CNS diagnostic imaging, Demyelinating Autoimmune Diseases, CNS physiopathology, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Myelitis, Transverse diagnosis, Myelitis, Transverse physiopathology, Polyradiculoneuropathy diagnostic imaging, Polyradiculoneuropathy physiopathology, Recurrence, Demyelinating Autoimmune Diseases, CNS diagnosis, Polyradiculoneuropathy diagnosis
Abstract: Combined central and peripheral demyelination (CCPD) is a rare chronic inflammatory disorder of the nervous system. In this article, we report on a CCPD patient with a very unusual pattern of central demyelination, comprising recurrent cerebral tumefactive demyelinating lesions (three times, each one in a new area of the brain) and one episode of longitudinally extensive transverse myelitis. This patient could not be classified as having multiple sclerosis, or neuromyelitis optica spectrum disorder, or any other well-known inflammatory disorder of the central nervous system, associated with demyelinating neuropathy. A diagnosis of idiopathic inflammatory demyelinating disorder (IIDD) was made while waiting for more knowledge concerning the diseases currently characterized as IIDD., (Copyright © 2018. Published by Elsevier B.V.)
Published: 2019
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33 results on '"Maubeuge, N"'

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

2. Carrefour des spécialités : autogreffe de cellules souches hématopoïétiques périphériques pour la prise en charge thérapeutique des polyradiculonévrites inflammatoires démyélinisantes chroniques

3. French validation of the Brief International Cognitive Assessment for Multiple Sclerosis

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

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

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

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

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

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

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

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

12. The effectiveness of natalizumab vs fingolimod–A comparison of international registry studies

13. Determinants of therapeutic lag in multiple sclerosis

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

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

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

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

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

19. Validation of a Brief Computerized Cognitive Assessment in Multiple Sclerosis (BCCAMS) and comparison with reference batteries.

20. CCR5 Blockade in Inflammatory PML and PML-IRIS Associated With Chronic Inflammatory Diseases' Treatments.

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

22. Determinants of therapeutic lag in multiple sclerosis.

23. [Autologous hematopoietic stem cell transplantation for chronic inflammatory demyelinating polyneuropathy].

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

25. Untreated patients with multiple sclerosis: A study of French expert centers.

26. Hematopoietic stem cell transplantation in chronic inflammatory demyelinating polyneuropathy: French experience about four patients, under the behalf of French society for bone marrow transplantation.

27. Validation of the French version of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS).

28. Frequency and characteristics of short versus longitudinally extensive myelitis in adults with MOG antibodies: A retrospective multicentric study.

29. Area postrema syndrome: Another feature of anti-GFAP encephalomyelitis.

30. Progressive Multifocal Leukoencephalopathy Incidence and Risk Stratification Among Natalizumab Users in France.

31. Comparative effectiveness of teriflunomide vs dimethyl fumarate in multiple sclerosis.

32. 1 H- 31 P magnetic resonance spectroscopy: effect of biotin in multiple sclerosis.

33. The coexistence of recurrent cerebral tumefactive demyelinating lesions with longitudinally extensive transverse myelitis and demyelinating neuropathy.

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