93 results on '"Leray, E."'
Search Results
2. Real-world evaluation of mortality in patients with heart failure treated with Sacubitril-Valsartan in France
- Author
-
Logeart, D., primary, Cohen, A., additional, Hanon, O., additional, Jourdain, P., additional, De Pouvourville, G., additional, Dheyriat, L., additional, Hugon, G., additional, and Leray, E., additional
- Published
- 2024
- Full Text
- View/download PDF
3. Effects of Open-Entry Spike-Bull, Limited-Entry Branched-Bull Harvesting on Elk Composition in Washington
- Author
-
Bender, Louis C., Fowler, Pat E., Bernatowicz, Jeff A., Musser, John L., and Stream, Leray E.
- Published
- 2002
4. Changes in the Distribution and Abundance of Sage Grouse in Washington
- Author
-
Schroeder, Michael A., Hays, David W., Livingston, Michael F., Stream, Leray E., Jacobson, John E., and Pierce, D. John
- Published
- 2000
- Full Text
- View/download PDF
5. Relevancy and reproducibility of magnetic resonance imaging (MRI) interpretation in multiple-ligament injuries and dislocations of the knee
- Author
-
Barbier, O., Galaud, B., Descamps, S., Boisrenoult, P., Leray, E., Lustig, S., Bonnevialle, P., Laffargue, P., Paillot, J.-L., Rosset, P., Neyret, P., Saragaglia, D., and Lapra, C.
- Published
- 2013
- Full Text
- View/download PDF
6. 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
7. 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
8. 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
9. 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
10. POSB397 Benefits of Homeopathic Complementary Treatment in Breast Cancer Patients: A Retrospective Cohort Study Based on the French Nationwide Healthcare Database (SNDS)
- Author
-
Medioni, J, primary, Lopez Marquez, Y, additional, Scimeca, D, additional, Leray, E, additional, Dalichampt, M, additional, and Bennani, M, additional
- Published
- 2022
- Full Text
- View/download PDF
11. TRANSCOV, a multidisciplinary project to evaluate long distance COVID patients transfers
- Author
-
Grimaud, O, primary, Girault, A, additional, Laude, L, additional, Sirven, N, additional, Cucharero Atienza, P, additional, Fermanian, C, additional, Elgharabawy, Y, additional, Ramanantsoa, J, additional, Bayat, S, additional, and Leray, E, additional
- Published
- 2021
- Full Text
- View/download PDF
12. HLA-DRB1*15 allele influences the later course of relapsing remitting multiple sclerosis
- Author
-
Cournu-Rebeix, I, Génin, E, Leray, E, Babron, M-C, Cohen, J, Gout, C, Alizadeh, M, Perdry, H, Semana, G, Brassat, D, Clerget-Darpoux, F, Yaouanq, J, Edan, G, Rosenheim, M, and Fontaine, B
- Published
- 2008
- Full Text
- View/download PDF
13. 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
14. Results of spinal meningioma surgery in patients with severe preoperative neurological deficits
- Author
-
Haegelen, C., Morandi, X., Riffaud, L., Amlashi, S. F. A., Leray, E., and Brassier, G.
- Published
- 2005
- Full Text
- View/download PDF
15. Comparison of epidemiological, clinical, and biological features of invasive aspergillosis in neutropenic and nonneutropenic patients: a 6-year survey
- Author
-
Cornillet, A., Camus, C., Nimubona, S., Gandemer, V., Tattevin, P., Belleguic, C., Chevrier, S., Meunier, C., Lebert, C., Aupee, M., Caulet-Maugendre, S., Faucheux, M., Lelong, B., Leray, E., Guiguen, C., and Gangneux, J.-P.
- Subjects
Aspergillosis -- Care and treatment ,Aspergillosis -- Patient outcomes ,Aspergillosis -- Research ,Neutropenia -- Patient outcomes ,Neutropenia -- Research ,Mortality -- Research ,Health ,Health care industry - Published
- 2006
16. HLA-DRB1* 15 allele influences the later course of relapsing remitting multiple sclerosis
- Author
-
Cournu-Rebeix, I, Génin, E, Leray, E, Babron, M-C, Cohen, J, Gout, C, Alizadeh, M, Perdry, H, Semana, G, Brassat, D, Clerget-Darpoux, F, Yaouanq, J, Edan, G, Rosenheim, M, and Fontaine, B
- Published
- 2008
- Full Text
- View/download PDF
17. Delay from treatment start to full effect of immunotherapies for multiple sclerosis
- Author
-
Roos, I, Leray, E, Frascoli, F, Casey, R, Brown, WJL, Horakova, D, Havrdova, EK, 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, Sá, MJ, 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, CB, Butzkueven, H, Vukusic, S, Kalincik, T, Duquette, P, Grand'Maison, F, Iuliano, G, Ramo-Tello, C, Solaro, C, Cabrera-Gomez, JA, Rio, ME, Bolaños, RF, Shaygannejad, V, Oreja-Guevara, C, Sanchez-Menoyo, JL, Petersen, T, Altintas, A, Barnett, M, Flechter, S, Fragoso, Y, Amato, MP, Moore, F, Ampapa, R, Verheul, F, Hodgkinson, S, Cristiano, E, Yamout, B, Laureys, G, Dominguez, JA, Zwanikken, C, Deri, N, Dobos, E, Vrech, C, Butler, E, Rozsa, C, Petkovska-Boskova, T, Karabudak, R, Rajda, C, Alkhaboori, J, Saladino, ML, Shaw, Cameron, Shuey, N, Vucic, S, Sempere, AP, Campbell, J, Piroska, I, Taylor, B, van der Walt, A, Kappos, L, Roullet, E, Gray, O, Simo, M, Sirbu, CA, Brochet, B, Cotton, F, de Sèze, J, Dion, A, Douek, P, Roos, I, Leray, E, Frascoli, F, Casey, R, Brown, WJL, Horakova, D, Havrdova, EK, 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, Sá, MJ, 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, CB, Butzkueven, H, Vukusic, S, Kalincik, T, Duquette, P, Grand'Maison, F, Iuliano, G, Ramo-Tello, C, Solaro, C, Cabrera-Gomez, JA, Rio, ME, Bolaños, RF, Shaygannejad, V, Oreja-Guevara, C, Sanchez-Menoyo, JL, Petersen, T, Altintas, A, Barnett, M, Flechter, S, Fragoso, Y, Amato, MP, Moore, F, Ampapa, R, Verheul, F, Hodgkinson, S, Cristiano, E, Yamout, B, Laureys, G, Dominguez, JA, Zwanikken, C, Deri, N, Dobos, E, Vrech, C, Butler, E, Rozsa, C, Petkovska-Boskova, T, Karabudak, R, Rajda, C, Alkhaboori, J, Saladino, ML, Shaw, Cameron, Shuey, N, Vucic, S, Sempere, AP, Campbell, J, Piroska, I, Taylor, B, van der Walt, A, Kappos, L, Roullet, E, Gray, O, Simo, M, Sirbu, CA, Brochet, B, Cotton, F, de Sèze, J, Dion, A, and Douek, P
- Published
- 2020
18. Geographical variations in access to expert centers for multiple sclerosis in France
- Author
-
Leray, E, primary, Mamadou, F, primary, Guilleux, A, primary, Roux, J, primary, and Grimaud, O, primary
- Published
- 2019
- Full Text
- View/download PDF
19. Use of healthcare services by patients with multiple sclerosis in France over 2010–2015: a nationwide population-based study using health administrative data
- Author
-
Roux, J., primary, Guilleux, A., additional, Lefort, M., additional, and Leray, E., additional
- Published
- 2019
- Full Text
- View/download PDF
20. Gender Inequities in the Multiple Sclerosis Community: A Call for Action
- Author
-
Waubant, E, Amezcua, L, Sicotte, N, Hellwig, K, Krupp, L, Weinstock-Guttman, B, Yeh, A, Lucas, RM, Longbrake, EE, Yadav, V, Rensel, M, Mar, S, Hersh, C, Block, V, Zipp, F, Han, MH, Spain, R, Kelland, EE, Charvet, L, Dimitri, D, Papeix, C, Cross, AH, Inglese, M, Amato, MP, Airas, L, Leray, E, Sormani, MP, Van der Walt, A, Vukusic, S, Castillo-Trivino, T, Tenembaum, S, Ciccarelli, O, Bommarito, G, Petracca, M, Celius, EG, Carson, MJ, Hua, LH, Van der Mei, I, Lubetzki, C, Jokubaitis, V, Trojano, M, Voskuhl, R, Tintore, M, Harbo, H, Asgari, N, Piccio, L, Burton, JM, Tremlett, H, Goldman, MD, Michel, L, Zhang, Y, Bove, R, Quandt, JA, Costello, F, Ionete, C, Lebrun-Frenay, C, Pakpoor, J, Bevan, C, Morrow, SA, Waldman, AT, Oh, J, Jacobs, D, Palace, J, Marrie, RA, Tiwari-Woodruff, SK, Metz, LM, Cortese, R, Chitnis, T, Benson, L, Benveniste, ET, Conway, J, Sand, IK, Murphy, JO, Kita, M, Riley, C, Goverman, JM, Langer-Gould, AM, Azevedo, CJ, Morales, IB, Barcellos, LF, Crabtree, E, Plummer, P, Shirani, A, Whartenby, K, Brilot-Turville, F, Kingwell, E, Coyle, P, Mowry, E, Zabad, R, Bielekova, B, Monson, N, Laule, C, Burnett, M, Schreiner, T, Grinspan, J, Dobson, R, Akassoglou, K, Graves, J, Gray, O, Smyth, P, Havrdova, EK, Preiningerova, JL, Banwell, B, Makhani, N, Lucchinetti, C, Arrambide, G, Maillart, E, Macklin, W, Gilmore, W, Waubant, E, Amezcua, L, Sicotte, N, Hellwig, K, Krupp, L, Weinstock-Guttman, B, Yeh, A, Lucas, RM, Longbrake, EE, Yadav, V, Rensel, M, Mar, S, Hersh, C, Block, V, Zipp, F, Han, MH, Spain, R, Kelland, EE, Charvet, L, Dimitri, D, Papeix, C, Cross, AH, Inglese, M, Amato, MP, Airas, L, Leray, E, Sormani, MP, Van der Walt, A, Vukusic, S, Castillo-Trivino, T, Tenembaum, S, Ciccarelli, O, Bommarito, G, Petracca, M, Celius, EG, Carson, MJ, Hua, LH, Van der Mei, I, Lubetzki, C, Jokubaitis, V, Trojano, M, Voskuhl, R, Tintore, M, Harbo, H, Asgari, N, Piccio, L, Burton, JM, Tremlett, H, Goldman, MD, Michel, L, Zhang, Y, Bove, R, Quandt, JA, Costello, F, Ionete, C, Lebrun-Frenay, C, Pakpoor, J, Bevan, C, Morrow, SA, Waldman, AT, Oh, J, Jacobs, D, Palace, J, Marrie, RA, Tiwari-Woodruff, SK, Metz, LM, Cortese, R, Chitnis, T, Benson, L, Benveniste, ET, Conway, J, Sand, IK, Murphy, JO, Kita, M, Riley, C, Goverman, JM, Langer-Gould, AM, Azevedo, CJ, Morales, IB, Barcellos, LF, Crabtree, E, Plummer, P, Shirani, A, Whartenby, K, Brilot-Turville, F, Kingwell, E, Coyle, P, Mowry, E, Zabad, R, Bielekova, B, Monson, N, Laule, C, Burnett, M, Schreiner, T, Grinspan, J, Dobson, R, Akassoglou, K, Graves, J, Gray, O, Smyth, P, Havrdova, EK, Preiningerova, JL, Banwell, B, Makhani, N, Lucchinetti, C, Arrambide, G, Maillart, E, Macklin, W, and Gilmore, W
- Published
- 2018
21. Mitoxantrone prior to interferon beta-1b in aggressive relapsing multiple sclerosis: a 3-year randomised trial
- Author
-
Edan, G, Comi, G, Le Page, E, Leray, E, Rocca, Ma, Filippi, M, French–Italian Mitoxantrone Interferon beta 1b Trial Group Trojano, M, Paolicelli, D, D'Onghia, M, Rumbach, L, Clavelou, P, Aufauvre, D, Moreau, T, Amato, Mp, Portaccio, E, Ghezzi, A, Mancardi, A, Vermersch, P, Hautecoeur, P, De Sèze, J, Magy, L, Vallat, Jm, Confavreux, C, Vukusic, S, Ionescu, I, Blanc, S, Pelletier, J, Malikova Klemina, I, Ranjeva, Jp, Debouverie, M, Pittion, S, Lebrun, C, Roullet, E, Heinzlef, O, Gout, O, Lubetzki, C, Stankoff, B, Tourbah, A, Veillard, D, Warter, Jm, Tranchant, C, Berry, I, Brassat, D, Clanet, M, Durelli, Luca, Clerico, Marinella, Service de Neurologie [Rennes] = Neurology [Rennes], CHU Pontchaillou [Rennes], Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Comportement et noyaux gris centraux = Behavior and Basal Ganglia [Rennes], Université de Rennes (UR)-Université européenne de Bretagne - European University of Brittany (UEB)-CHU Pontchaillou [Rennes]-Institut des Neurosciences Cliniques de Rennes = Institute of Clinical Neurosciences of Rennes (INCR), École des Hautes Études en Santé Publique [EHESP] (EHESP), Edan, G, Comi, Giancarlo, Le Page, E, Leray, E, Rocca, Ma, Filippi, Massimo, French Italian Mitoxantrone Interferon beta 1b Trial, Group, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université européenne de Bretagne - European University of Brittany (UEB)-CHU Pontchaillou [Rennes]-Institut des Neurosciences Cliniques de Rennes (INCR)
- Subjects
Oncology ,Male ,medicine.medical_treatment ,Gadolinium ,Severity of Illness Index ,law.invention ,0302 clinical medicine ,Randomized controlled trial ,law ,Clinical endpoint ,030212 general & internal medicine ,10. No inequality ,Brain ,Immunosuppression ,Magnetic Resonance Imaging ,3. Good health ,Psychiatry and Mental health ,Methylprednisolone ,Drug Therapy, Combination ,Female ,Immunosuppressive Agents ,medicine.drug ,Interferon beta-1b ,Adult ,medicine.medical_specialty ,Multiple Sclerosis ,Neuroimaging ,Drug Administration Schedule ,03 medical and health sciences ,Multiple Sclerosis, Relapsing-Remitting ,Internal medicine ,medicine ,Humans ,Immunologic Factors ,Mitoxantrone ,Expanded Disability Status Scale ,business.industry ,Multiple sclerosis ,Interferon-beta ,medicine.disease ,Surgery ,Secondary progressive ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
International audience; Objectives: The long-term impact of interferon-beta-1b (IFN) might be improved by short-term immunosuppression with mitoxantrone (MITOX) in aggressive relapsing-remitting multiple sclerosis (ARMS) patients. Methods: In this 3-year clinical and MRI study, 109 ARMS patients (two or more relapses in the previous 12 months and one or more gadolinium (Gd)-enhancing MRI lesion) were randomised into two groups: 54 patients received MITOX monthly (12 mg/m2; maximum 20 mg) combined with 1 g of methylprednisolone (MP) for 6 months followed by IFN for the last 27 months, and 55 patients received IFN for 3 years combined with 1 g of MP monthly for the first 6 months. The primary endpoint was the time to worsen by at least one Expanded Disability Status Scale point confirmed at 3 months. Results: The time to worsen by at least one Expanded Disability Status Scale point confirmed at 3 months was delayed by 18 months in the MITOX group compared with the IFN group (p
- Published
- 2011
- Full Text
- View/download PDF
22. Long-Term Retention Deficit Involvement in Prodromal Alzheimer’s Disease
- Author
-
Jonin, P. Y., Vichard, H., Leray, E., Sarazin, M., Dubois, B., Belliard, S., and PréAl study group
- Subjects
Male ,Memory Disorders ,Memory, Long-Term ,Individuality ,Retention, Psychology ,Neurosciences. Biological psychiatry. Neuropsychiatry ,General Medicine ,Neuropsychological Tests ,Neuropsychology and Physiological Psychology ,ROC Curve ,Neurology ,Alzheimer Disease ,Humans ,Learning ,Female ,Longitudinal Studies ,Neurology (clinical) ,Research Article ,Aged ,RC321-571 - Published
- 2010
23. Prognostic value of histologic subtypes in renal cell carcinoma: a multicenter experience.
- Author
-
Patard, J.J., Leray, E., Rioux-Leclercq, N., Cindolo, L., Ficarra, V., Zisman, A., Taille, A. De La, Tostain, J., Artibani, W., Abbou, C.C., Lobel, B., Guille, F., Chopin, D.K., Mulders, P.F.A., Wood, C.G., Swanson, D.A., Figlin, R.A., Belldegrun, A.S., Pantuck, A.J., Patard, J.J., Leray, E., Rioux-Leclercq, N., Cindolo, L., Ficarra, V., Zisman, A., Taille, A. De La, Tostain, J., Artibani, W., Abbou, C.C., Lobel, B., Guille, F., Chopin, D.K., Mulders, P.F.A., Wood, C.G., Swanson, D.A., Figlin, R.A., Belldegrun, A.S., and Pantuck, A.J.
- Abstract
Item does not contain fulltext, PURPOSE: To analyze to what extent histologic subtype is of prognostic importance in renal cell carcinoma based on a large, international, multicenter experience. PATIENTS AND METHODS: Four thousand sixty-three patients from eight international centers were included in this retrospective study. Histologic subtype (1997 International Union Against Cancer [UICC] criteria of tumor response), age, sex, TNM stage, Fuhrman grade, tumor size, Eastern Cooperative Oncology Goup performance status (ECOG PS), and overall survival were determined in all cases. The prognostic values of clear cell, papillary, and chromophobe histologic features were assessed by uni- and multivariate analysis using the Kaplan-Meier method and Cox model, respectively. RESULTS: Clear cell, papillary, and chromophobe carcinomas accounted for 3,564 (87.7%), 396 (9.7%) and 103 (2.5%) cases, respectively. In univariate analysis, a trend toward a better survival was observed when clear cell, papillary, and chromophobe histologies were considered prognostic categories (log-rank P = .0007). However, in multivariate analysis, TNM stage, Fuhrman grade and ECOG PS, but not histology, were retained as independent prognostic variables (P < .001). CONCLUSION: The stratification in three main renal cell carcinoma histologic subtypes as defined by the 1997 UICC-American Joint Committee on Cancer consensus should not be considered a major prognostic variable comparable to TNM stage, Fuhrman grade and ECOG PS.
- Published
- 2005
24. Evidence for a two-stage disability progression in multiple sclerosis
- Author
-
Leray, E., primary, Yaouanq, J., additional, Le Page, E., additional, Coustans, M., additional, Laplaud, D., additional, Oger, J., additional, and Edan, G., additional
- Published
- 2010
- Full Text
- View/download PDF
25. Vascular lesions associated with bicruciate and knee dislocation ligamentous injury
- Author
-
Boisrenoult, P., primary, Lustig, S., additional, Bonneviale, P., additional, Leray, E., additional, Versier, G., additional, Neyret, P., additional, Rosset, P., additional, and Saragaglia, D., additional
- Published
- 2009
- Full Text
- View/download PDF
26. Dislocation and bicruciate lesions of the knee: Epidemiology and acute stage assessment in a prospective series
- Author
-
Lustig, S., primary, Leray, E., additional, Boisrenoult, P., additional, Trojani, C., additional, Laffargue, P., additional, Saragaglia, D., additional, Rosset, P., additional, and Neyret, P., additional
- Published
- 2009
- Full Text
- View/download PDF
27. P073 LONGITUDINAL STUDY OF BONE MINERAL DENSITY SINCE THE DIAGNOSIS OF CROHN'S DISEASE
- Author
-
Samson, F., primary, Cagnard, B., additional, Leray, E., additional, Guggenbuhl, P., additional, Bridoux-Henno, L., additional, and Dabadie, A., additional
- Published
- 2009
- Full Text
- View/download PDF
28. Results of spinal meningioma surgery in patients with severe preoperative neurological deficits
- Author
-
Haegelen, C., primary, Morandi, X., additional, Riffaud, L., additional, Amlashi, S. F. A., additional, Leray, E., additional, and Brassier, G., additional
- Published
- 2004
- Full Text
- View/download PDF
29. Changes in the Distribution and Abundance of Sage Grouse in Washington
- Author
-
D. John Pierce, Leray E. Stream, David W. Hays, John E. Jacobson, Michael A. Schroeder, Michael F. Livingston, and Washington E
- Subjects
Current range ,education.field_of_study ,Ecology ,business.industry ,Range (biology) ,Population size ,Population ,Distribution (economics) ,Geography ,Habitat ,Abundance (ecology) ,General Earth and Planetary Sciences ,Sage grouse ,education ,business ,General Environmental Science - Abstract
Sage grouse (Centrocercus urophasianus) historically occurred in shrub-steppe and meadow-steppe communities throughout much of eastern Washington. The decline in distri- bution has been dramatic; 73% of 67 lek complexes documented since 1960 are currently vacant. Many vacant lek complexes (53%) are in areas where sage grouse have been recently extirpated. The current range is about 8% of the historic range, occurring in 2 relatively isolated areas. Based on changes in number of males counted on lek complexes, the sage grouse population size in Washington declined at least 77% from 1960 to 1999; the 1999 spring population was estimated to be about 1,100 birds. Historic and recent declines of sage grouse are linked to con- version of native habitat for production of crops and degradation of the remaining native hab- itat. Although declines in populations of sage grouse appear to be slowing, the small size and isolated nature of the 2 remaining populations may be a long-term problem. Management should be directed toward protecting, enhancing, expanding, and connecting the existing pop- ulations.
- Published
- 2000
- Full Text
- View/download PDF
30. HLA-DRB1*15 allele influences the later course of relapsing remitting multiple sclerosis.
- Author
-
Cournu-Rebeix, I., Génin, E., Leray, E., Babron, M.-C., Cohen, J., Gout, C., Alizadeh, M., Perdry, H., Semana, G., Brassat, D., Clerget-Darpoux, F., Yaouanq, J., Edan, G., Rosenheim, M., and Fontaine, B.
- Subjects
MULTIPLE sclerosis ,MYELIN sheath diseases ,NEUROLOGICAL disorders ,HLA histocompatibility antigens ,DNA ,GENETIC research ,DISEASE risk factors ,COHORT analysis - Abstract
Most of the published works so far have aimed at finding genes associated with multiple sclerosis (MS) susceptibility. Very few studies have attempted to correlate disease features with DNA variants. In a well-characterized sample (651 patients) representative of multiple sclerosis natural history, we engaged a comprehensive study of the role of human leukocyte antigen (HLA) in the course of the disease. We investigated the role of HLA-DRB1
* 15 allele in samples stratified according to severity evaluated by the Multiple Sclerosis Severity Score (MSSS), time to reach EDSS 6.0 and disease type. We found that HLA-DRB1* 15 genotype does not influence MS severity even among patients presenting with a given type of the disease. However, we show for the first time that HLA-DRB1* 15 allele modulates the course of MS for relapsing–remitting (RR) onset patients likely by precipitating the secondary progressive (SP) phase.Genes and Immunity (2008) 9, 570–574; doi:10.1038/gene.2008.52; published online 10 July 2008 [ABSTRACT FROM AUTHOR]- Published
- 2008
- Full Text
- View/download PDF
31. Long-term retention deficit involvement in prodromal Alzheimer's disease.
- Author
-
Vingerhoets, Guy, Jonin, P.Y., Vichard, H., Leray, E., Sarazin, M., Dubois, B., Belliard, S., and PréAl study group
- Subjects
MEMORY disorders ,ALZHEIMER'S disease ,COGNITIVE ability ,DISSOCIATION (Psychology) ,DEMENTIA ,CROSS-sectional method - Published
- 2010
32. 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
- Full Text
- View/download PDF
33. 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
- Full Text
- View/download PDF
34. 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
- Full Text
- View/download PDF
35. Real-life study to assess effectiveness and safety of eculizumab in patients with neuromyelitis optica spectrum disorders in France: protocol for ECUP4, an observational study.
- Author
-
Marignier R, Laplaud D, Zéphir H, Papeix C, Leray E, Amri E, Piotaix M, and de Sèze J
- Abstract
Background: Eculizumab, a humanized monoclonal antibody targeting the C5 complement protein, has been approved for the treatment of neuromyelitis optica spectrum disorders (NMOSD) in adult patients who are anti-aquaporin-4 (AQP4) antibody positive (Ab+). The aim of this study is to evaluate the long-term effectiveness and safety of eculizumab in French adults with NMOSD and to describe patients' characteristics, disability, and quality of life using data collected in a real-world setting., Methods: This is the protocol for ECUP4, an ongoing prospective, observational, non-comparative, multicenter study conducted in 32 reference centers in France. Eligible patients must also be enrolled in NOMADMUS, a nested cohort of the French national multiple sclerosis registry (OFSEP). The primary endpoint is the annualized relapse rate. Secondary endpoints include the long-term safety of eculizumab, as well as patients' characteristics, treatment outcomes, disability, pain, visual acuity, and quality of life. Visits and treatments follow routine clinical practice. The case report forms (CRF) comprise data recorded in the context of the NOMADMUS cohort, collected during routine visits. The inclusion period is planned for 3 years, with no limitation on the number of patients enrolled. The maximum follow-up duration will be 5.5 years., Conclusion: The efficacy and safety of eculizumab in patients with AQP4+ NMOSD have been demonstrated in randomized clinical trials that showed a significant reduction in the risk of relapse, with a safety profile consistent with other indications. This study will provide clinical and patient-reported evidence of the benefits of eculizumab, using data from a real-world setting in France., Trial Registration Number: This study is registered at the French public repertory Health data Hub, N° F20211228123801. All information can be accessed at: https://www.health-data-hub.fr/., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Marignier, Laplaud, Zéphir, Papeix, Leray, Amri, Piotaix and de Sèze.)
- Published
- 2024
- Full Text
- View/download PDF
36. Pregnancy-related healthcare utilization among women with multiple sclerosis.
- Author
-
Mainguy M, Le Page E, Michel L, and Leray E
- Abstract
Introduction: Many studies have investigated pregnancy in women with multiple sclerosis (MS). However, no study has measured prenatal healthcare utilization in women with MS or adherence to follow-up recommendations to improve antenatal care quality. A better knowledge of the quality of antenatal care in women with MS would help identify and better support women with insufficient follow-up. Our objective was to measure the level of compliance to prenatal care recommendations in women with MS using data from the French National Health Insurance Database., Methods: This retrospective cohort study included all pregnant women with MS who gave live birth in France between 2010 and 2015. Using the French National Health Insurance Database, follow-up visits with gynecologists, midwives, and general practitioners (GPs) were identified, as well as ultrasound exams and laboratory tests. Based on the Adequacy of Prenatal Care Use and Content and Timing of care in Pregnancy indices, a new tool adapted to the French recommendations was developed to measure and classify the antenatal care trajectory (adequate or inadequate). Explicative factors were identified using multivariate logistic regression models. A random effect was included because women may have had more than one pregnancy during the study period., Results: In total, 4,804 women with MS ( N = 5,448 pregnancies ending in live births) were included. When considering only visits with gynecologists/midwives, 2,277 pregnancies (41.8%) were considered adequate. When adding visits with GP, their number increased to 3,646 (66.9%). Multivariate models showed that multiple pregnancy and higher medical density were associated with better adherence to follow-up recommendations. Conversely, adherence was lower in 25-29-year-old and >40-year-old women, in women with very low income, and agricultural and self-employed workers. No visits, ultrasound exams, and laboratory tests were recorded in 87 pregnancies (1.6%). In 50% of pregnancies, women had at least one visit with a neurologist during the pregnancy, and women restarted disease-modifying therapy (DMT) within 6 months after delivery in 45.9% of pregnancies., Discussion: Many women consulted their GP during pregnancy. This could be linked to a low density of gynecologists but may also reflect the preferences of women. Our findings can help adapt recommendations and healthcare providers' practices according to the women's profiles., Competing Interests: MM declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. ELP received honoraria for lectures or consulting from Biogen Idec, Merck Serono, Novartis, SanofiAventis, TEVA, Roche, Alexion. LM has received personal compensation for consulting, speaking or other activities with Biogen, Merck, Novartis, Roche, Sanofi-Genzyme, Teva and BMS. EL has received personal compensation for consulting, serving on a scientific advisory board, speaking, or other activities with Alexion, Biogen, Merck, Novartis, Roche, Sanofi-Genzyme., (Copyright © 2023 Mainguy, Le Page, Michel and Leray.)
- Published
- 2023
- Full Text
- View/download PDF
37. Effects of socioeconomic status on excess mortality in patients with multiple sclerosis in France: A retrospective observational cohort study.
- Author
-
Wilson S, Calocer F, Rollot F, Fauvernier M, Remontet L, Tron L, Vukusic S, Le Page E, Debouverie M, Ciron J, Ruet A, De Sèze J, Zephir H, Moreau T, Lebrun-Frénay C, Laplaud DA, Clavelou P, Labauge P, Berger E, Pelletier J, Heinzlef O, Thouvenot E, Camdessanché JP, Leray E, Dejardin O, and Defer G
- Abstract
Background: The effects of socio-economic status on mortality in patients with multiple sclerosis is not well known. The objective was to examine mortality due to multiple sclerosis according to socio-economic status., Methods: A retrospective observational cohort design was used with recruitment from 18 French multiple sclerosis expert centers participating in the Observatoire Français de la Sclérose en Plaques. All patients lived in metropolitan France and had a definite or probable diagnosis of multiple sclerosis according to either Poser or McDonald criteria with an onset of disease between 1960 and 2015. Initial phenotype was either relapsing-onset or primary progressive onset. Vital status was updated on January 1st 2016. Socio-economic status was measured by an ecological index, the European Deprivation Index and was attributed to each patient according to their home address. Excess death rates were studied according to socio-economic status using additive excess hazard models with multidimensional penalised splines. The initial hypothesis was a potential socio-economic gradient in excess mortality., Findings: A total of 34,169 multiple sclerosis patients were included (88% relapsing onset (n = 30,083), 12% progressive onset (n = 4086)), female/male sex ratio 2.7 for relapsing-onset and 1.3 for progressive-onset). Mean age at disease onset was 31.6 (SD = 9.8) for relapsing-onset and 42.7 (SD = 10.8) for progressive-onset. At the end of follow-up, 1849 patients had died (4.4% for relapsing-onset (n = 1311) and 13.2% for progressive-onset (n = 538)). A socio-economic gradient was found for relapsing-onset patients; more deprived patients had a greater excess death rate. At thirty years of disease duration and a year of onset of symptoms of 1980, survival probability difference (or deprivation gap) between less deprived relapsing-onset patients (EDI = -6) and more deprived relapsing-onset patients (EDI = 12) was 16.6% (95% confidence interval (CI) [10.3%-22.9%]) for men and 12.3% (95%CI [7.6%-17.0%]) for women. No clear socio-economic mortality gradient was found in progressive-onset patients., Interpretation: Socio-economic status was associated with mortality due to multiple sclerosis in relapsing-onset patients. Improvements in overall care of more socio-economically deprived patients with multiple sclerosis could help reduce these socio-economic inequalities in multiple sclerosis-related mortality., Funding: This study was funded by the ARSEP foundation "Fondation pour l'aide à la recherche sur la Sclérose en Plaques" (Grant Reference Number 1122). Data collection has been 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" programme, under the reference ANR-10-COHO-002, Observatoire Français de la Sclérose en Plaques (OFSEP)., Competing Interests: Sarah Wilson, Fabien Rollot, Mathieu Fauvernier, Laurent Remontet, Laure Tron, Marc Debouverie, Jérôme de Sèze, Thibault Moreau, Christine Lebrun Frenay, Pierre Labauge, Jean Pelletier and Olivier Dejardin report no disclosures. Floriane Calocer: received funding for the present research from the ARSEP foundation for a Postdoctoral Fellowship (payment to the institution), from the “Réseau Bas-Normand pour la SEP” for a Postdoctoral Fellowship (payment to the institution), from the Regional Council of Normandy (payment to the institution), from the Ecole Doctorale of Caen University for a training in LSHTD to conduct this research (payment to the institution). She received support for attending meetings and/or travel from the ARSEP Foundation (paid directly to herself, unrelated to this work). Sandra Vukusic: received grants or contracts (paid to her university hospital) from Biogen, BMS-Celgene, Janssen, Merck, Novartis, Roche, Sanofi-Genzyme and Teva; received consulting fees from Biogen, BMS-Celgene, Janssen, Merck, Novartis, Roche, Sanofi-Genzyme and Teva (paid to her university hospital); received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Biogen, Merck, Novartis, Roche, Sanofi-Genzyme and Teva (paid to her university hospital); received support for attending meetings and/or travel from Biogen, Merck, Novartis, Roche, Sanofi-Genzyme and Teva, participated on a Data Safety Monitoring Board or Advisory Board for Biogen (contracts with her university hospital), all of the above unrelated to this work. Emmanuelle Le Page: received payment or honoraria for consulting or lectures from Biogen, Merck, Teva, Sanofi-Genzyme, Novartis Alexion; received research support from Teva and Biogen, and received academic research grants from PHRC and LFSEP, and a travel grant from the ARSEP Foundation; received payment for consulting from Biogen, Merck, Sanofi-Genzyme, and Novartis; received invitations for national and international congresses from Biogen, Merck, Sanofi-Genzyme, Novartis Alexion, all of the above unrelated to this work. Jonathan Ciron: participated on a Data Safety Monitory Board of Advisory Board with Biogen, Novartis, Merck, Sanofi, Roche, Alexion and BMS-Celgene (all unrelated to this work). Aurélie Ruet: Consultancy fees from Roche and Biogen, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Merck, Roche, Biogen, research grants (paid to the institution) from Roche, Biogen and Sanofi-Genzyme, and support for attending meetings and/or travel from Biogen, Novartis and Alexion, all of the above unrelated to this work. Hélène Zephir: received research support for one PhD student from Roche, and research support for one MD student from FHU Imminent, consulting fees from Biogen IDEC (Symposium Biogen Idec in ISNI congress); received payment or honoraria for lectures from Merck, received payment or honoraria for lectures and boards from Novartis, all of the above unrelated to this work. David-Axel Laplaud: received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Biogen, Merck, Alexion, BMS, Roche and Novartis, all of the above unrelated to this work. Pierre Clavelou: received consulting fees from Biogen, Janssen, Medday, Merck, Novartis, Roche, Sanofi-Genzyme and Teva Pharma; and support for attending meetings and/or travel from Sanofi-Genzyme, and participated on a Data Safety Monitoring Board or Advisory Board for Medday, Merck and Novartis. All of the above unrelated to this work. Eric Berger: received consulting fees from Novartis, Sanofi Aventis, Biogen, Genzyme, Roche and Teva Pharma; received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Novartis, Sanofi Aventis, Biogen, Genyme, Roche and Teva Pharma (all of the above unrelated to this work). Olivier Heinzlef: consulting fees from Bayer Schering, Merck, Teva, Genzyme, Novartis, Almirall and BiogenIdec, support for attending meetings and/or travel grants from Novartis, Teva, Genzyme, Merck Serono and Biogen Idec and other financial or non-financial interests from Novartis, Teva, Genzyme, Merck Serono and BiogenIdec (all of the above unrelated to this work). Eric Thouvenot: received grants or contracts from Novartis and Biogen (paid to the institution), consulting fees from Merck, Novartis, Biogen and Celgene (paid directly to himself); received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Merck, Novartis, Biogen, Celgene (paid directly to himself). All of the above unrelated to this work. Jean Philippe Camdessanché: received grants or contracts from CSL-Behring, Grifols, Laboratoire Français des Biotechnologies, consulting fees from Akcea, Alexion, Alnylam, Argenx, Bristol Myers Squibb, Laboratoire Français des Biotechnologies, Pfizer, UCB Pharma, SNF-Floeger, received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Akcea, Alexion, Alnylam, Argenx, Biogen, CSL-Behring, Genzyme, Grifols, Laboratoire Français des Biotechnologies, Merck-Serono, Natus, Novartis, Pfizer, UCB Pharma and Teva. Received support for attending meetings and/or travel from Akcea, Alexion, Alnylam, Argenx, Biogen, CSL-Behring, Genzyme, Grifols, Laboratoire Français des Biotechnologies, Merck-Serono, Natus, Novartis, Pfizer, Teva, SNF-Floeger, all of the above unrelated to this work. Emmanuelle Leray: received consulting fees from Alexion, Merck, Novartis, Roche and Biogen, received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Sanofi Genzyme, and received support for attending meetings and/or travel from Sanofi Genzyme, all of the above unrelated to this work. Gilles Defer Received research grants (paid to institution) from Biogen, Merck Serono, Novartis, Sanofi Genzyme; payment for speaker honoraria from Biogen, Merck Serono, Novartis, Sanofi Genzyme, Teva Pharmaceuticals, BMS; funding for travel from Biogen, Merck Serono, Novartis, Sanofi Genzyme, Teva Pharmaceuticals; and personal compensation for scientific advisory boards from Biogen, Merck Serono, Novartis, Sanofi Genzyme, Teva Pharmaceuticals, and BMS. All of the above unrelated to this work., (© 2022 The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
38. Long-Term Effectiveness, Safety and Tolerability of Fingolimod in Patients with Multiple Sclerosis in Real-World Treatment Settings in France: The VIRGILE Study.
- Author
-
Papeix C, Castelnovo G, Leray E, Coustans M, Levy P, Visy JM, Kobelt G, Lamy F, Allaf B, Heintzmann F, Chouette I, Raponi E, Durand B, Grevat E, Kamar D, Debouverie M, and Lebrun-Frenay C
- Abstract
Introduction: It is important to confirm the effectiveness and tolerability of disease-modifying treatments for relapsing-remitting multiple sclerosis (RRMS) in real-world treatment settings. This prospective observational cohort study (VIRGILE) was performed at the request of the French health authorities. The primary objective was to evaluate the effectiveness of fingolimod 0.5 mg in reducing the annualised relapse rate (ARR) in patients with RRMS., Methods: Participating neurologists enrolled all adult patients with RRMS starting fingolimod treatment between 2014 and 2016, who were followed for 3 years. Follow-up consultations took place at the investigator's discretion. The primary outcome measure was the change in ARR at month 24 after fingolimod initiation. Relapses and adverse events were documented at each consultation; disability assessment (EDSS) and magnetic resonance imagery were performed at the investigator's discretion., Results: Of 1055 eligible patients, 633 patients were assessable at month 36; 405 (64.0%) were treated continuously with fingolimod for 3 years. The ARR decreased from 0.92 ± 0.92 at inclusion to 0.31 ± 0.51 at month 24, a significant reduction of 0.58 [95% CI - 0.51 to - 0.65] relapses/year (p < 0.001). Since starting fingolimod, 461 patients (60.9%) remained relapse-free at month 24 and 366 patients (55.5%) at month 36. In multivariate analysis, no previous disease-modifying treatment, number of relapses in the previous year and lower EDSS score at inclusion were associated with a greater on-treatment reduction in ARR. The mean EDSS score remained stable over the course of the study. Sixty-one out of 289 (21.1%) patients presented new radiological signs of disease activity. Treatment-related serious adverse events were lymphopenia (N = 21), bradycardia (N = 19), elevated transaminases (N = 9) and macular oedema (N = 9)., Conclusions: The effectiveness and tolerability of fingolimod in everyday clinical practice are consistent with findings of previous phase III studies. Our study highlights the utility of fingolimod for the long-term management of patients with multiple sclerosis., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
39. Trends in disease-modifying therapy use in patients with multiple sclerosis using a 10-year population-based cohort study in France.
- Author
-
Leblanc S, Lefort M, Le Page E, Michel L, and Leray E
- Subjects
- Cohort Studies, France epidemiology, Humans, Multiple Sclerosis drug therapy, Multiple Sclerosis epidemiology
- Abstract
Background: The availability of new disease-modifying therapies (DMTs) for patients with multiple sclerosis (MS) provides an opportunity for improving outcomes but makes disease management more complex. Our study aimed to describe changes in therapeutic practices over the period 2009-2018 and measure the impact of the arrival of oral DMTs on the use of injectable DMTs., Methods: Data were extracted from a representative 1/97 sample of the French population covered by the healthcare insurance system. Study period was set from 1 January 2009 to 31 December 2018. Four periods of MS identification were defined (before 2009, 2009-2011, 2012-2015, and 2016-2018)., Results: Overall, 1,508 patients with MS were included, of whom 876 (58.1%) were treated at least once over the study period. Untreated patients were older and had more comorbidities than treated ones. First-line DMTs were the most frequent initial DMT (78.5%), and a shift has operated from injectable to oral drugs over time. The proportion of patients receiving several DMTs increased with the number of available drugs. End 2018, relative parts of all DMTs were almost equal., Conclusions: This study provides valuable insights into the real-world use of DMTs and changes that have operated over time.
- Published
- 2022
- Full Text
- View/download PDF
40. Comparative Effectiveness of Natalizumab Versus Anti-CD20 in Highly Active Relapsing-Remitting Multiple Sclerosis After Fingolimod Withdrawal.
- Author
-
Rollot F, Couturier J, Casey R, Wiertlewski S, Debouverie M, Pelletier J, De Sèze J, Labauge P, Ruet A, Thouvenot E, Ciron J, Berger E, Gout O, Clavelou P, Stankoff B, Casez O, Bourre B, Zephir H, Moreau T, Lebrun-Frenay C, Maillart E, Edan G, Neau JP, Montcuquet A, Cabre P, Camdessanché JP, Defer G, Nasr HB, Maurousset A, Hankiewicz K, Pottier C, Leray E, Vukusic S, and Laplaud DA
- Subjects
- Antigens, CD20, Fingolimod Hydrochloride therapeutic use, Humans, Immunologic Factors adverse effects, Immunosuppressive Agents therapeutic use, Natalizumab adverse effects, Recurrence, Multiple Sclerosis drug therapy, Multiple Sclerosis, Relapsing-Remitting drug therapy
- Abstract
In France, two therapeutic strategies can be offered after fingolimod (FNG) withdrawal to highly active relapsing-remitting multiple sclerosis (RRMS) patients: natalizumab (NTZ) or anti-CD20. We compared the effectiveness of these two strategies as a switch for FNG within the OFSEP database. The primary endpoint was the time to first relapse. Other outcomes were the relapse rates over 3-month periods, time to worsening the EDSS score, proportion of patients with worsened 24-month MRI, time to treatment discontinuation, and incidence rates of serious adverse events. The dynamics of event rates over time were modeled using multidimensional penalized splines, allowing the possibility to model the effects of covariates in a flexible way, considering non-linearity and interactions. A total of 740 patients were included (337 under anti-CD20 and 403 under NTZ). There was no difference between the two treatments regarding the dynamic of the first occurrence of relapse, with a monthly probability of 5.0% at initiation and 1.0% after 6 months. The rate of EDSS worsening increased in both groups until 6 months and then decreased. No difference in the proportion of patients with new T2 lesions at 24 months was observed. After 18 months of follow-up, a greater risk of NTZ discontinuation was found compared to anti-CD20. This study showed no difference between NTZ and anti-CD20 after the FNG switch regarding the clinical and radiological activity. The effect of these treatments was optimal after 6 months and there was more frequent discontinuation of NTZ after 18 months, probably mainly related to JC virus seroconversions., (© 2022. The American Society for Experimental NeuroTherapeutics, Inc.)
- Published
- 2022
- Full Text
- View/download PDF
41. Impact of ICU transfers on the mortality rate of patients with COVID-19: insights from comprehensive national database in France.
- Author
-
Sanchez MA, Vuagnat A, Grimaud O, Leray E, Philippe JM, Lescure FX, Boutonnet M, Coignard H, Hibon AR, Sanchez S, and Pottecher J
- Abstract
Background: The first wave of the COVID-19 pandemic confronted healthcare systems around the world with unprecedented organizational challenges, particularly regarding the availability of intensive care unit (ICU) beds. One strategy implemented in France to alleviate healthcare pressure during the first COVID-19 wave was inter-hospital transfers of selected ICU patients from overwhelmed areas towards less saturated ones. At the time, the impact of this transfer strategy on patient mortality was unknown. We aimed to compare in-hospital mortality rates among ICU patients with COVID-19 who were transferred to another healthcare facility and those who remained in the hospital where they were initially admitted to., Method: A prospective observational study was performed from 1 March to 21 June 2020. Data regarding hospitalized patients with COVID-19 were collected from the Ministry of Health-affiliated national SI-VIC registry. The primary endpoint was in-hospital mortality., Results: In total, 93,351 hospital admissions of COVID-19 patients were registered, of which 18,348 (19.6%) were ICU admissions. Transferred patients (n = 2228) had a lower mortality rate than their non-transferred counterparts (n = 15,303), and the risk decreased with increasing transfer distance (odds ratio (OR) 0.7, 95% CI: 0.6-0.9, p = 0.001 for transfers between 10 and 50 km, and OR 0.3, 95% CI: 0.2-0.4, p < 0.0001 for transfer distance > 200 km). Mortality decreased overall over the 3-month study period., Conclusions: Our study shows that the mortality rates were lower for patients with severe COVID-19 who were transferred between ICUs across regions, or internationally, during the first pandemic wave in France. However, the global mortality rate declined overall during the study. Transferring selected patients with COVID-19 from overwhelmed regions to areas with greater capacity may have improved patient access to ICU care, without compounding the short-term mortality risk of transferred patients., (© 2021. The Author(s).)
- Published
- 2021
- Full Text
- View/download PDF
42. TRANSCOV cohort protocol: an epidemiological study assessing the impact of critically ill COVID-19 patients long distance transfers between intensive care units.
- Author
-
Grimaud O, Bayat S, Renault A, Maury E, Pottecher J, Dolz M, Braun F, Fermanian C, Ricard-Hibon A, Prieto N, Philippe JM, and Leray E
- Subjects
- Humans, Intensive Care Units, Retrospective Studies, SARS-CoV-2, COVID-19, Critical Illness
- Abstract
Introduction: During spring 2020, four regions of France faced a surge of severe COVID-19 patients which threatened to overflow local intensive care units (ICU) capacities. As an emergency response, between 13 March 2020 and 10 April 2020, an estimated 661 patients were transferred from overcrowded ICUs to eight other French regions and four neighbouring countries. The intensity, geographical spread and the diversity of vectors used are unprecedented. The study aims at assessing the impact of these inter-ICU transfers on the short-term and medium-term physical and psychological outcomes in this population of severe COVID-19 patients., Methods and Analysis: The TRANSCOV cohort is a multicentre observational retrospective study. All transferred patients between ICUs outside the origin region will be invited to take part. For each transfer, up to four control patients will be selected among those admitted in the same ICU during the same period (±4 days of transfer date). Clinical data will be extracted from medical records and will include haemodynamic and respiratory parameters, as well as clinical severity scores before, during and after transfer. Data linkage with medicoadministrative data will enrich the clinical database and allow follow-up up to 1 year after initial admission., Ethics and Dissemination: The study has been approved by the French Ethics and Scientific Committee on the 16 July 2020 (file no. 2046524). The results will be disseminated via publication of scientific articles and communications in national and international conferences., Trial Registration Number: 20 CO 015 CZ., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2021
- Full Text
- View/download PDF
43. Delay from treatment start to full effect of immunotherapies for multiple sclerosis.
- Author
-
Roos I, Leray E, Frascoli F, Casey R, Brown JWL, Horakova D, Havrdova EK, 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, Sá MJ, 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 CB, Butzkueven H, Vukusic S, and Kalincik T
- Subjects
- Adult, Cohort Studies, Female, Follow-Up Studies, Humans, Male, Middle Aged, Multiple Sclerosis diagnostic imaging, Natalizumab administration & dosage, Prospective Studies, Registries, Time Factors, Treatment Outcome, Disease Progression, Immunologic Factors administration & dosage, Immunosuppressive Agents administration & dosage, Multiple Sclerosis drug therapy, Multiple Sclerosis physiopathology
- 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., (© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
- Published
- 2020
- Full Text
- View/download PDF
44. Prevalence of mental disorders is higher in patients with multiple sclerosis than in the general population or in patients with rheumatoid arthritis in France.
- Author
-
Guilleux A, Roux J, Travers D, and Leray E
- Abstract
Background: Mental disorders (MDs) in multiple sclerosis (MS) patients decreases treatment adherence and quality of life, and increases the risk of disability progression and care consumption., Objective: This study was to assess the prevalence of MDs in MS patients compared with healthy controls (HC) of the French general population and rheumatoid arthritis (RA) patients., Methods: The 2015 prevalence of MDs for MS patients, RA patients and general population was estimated using a random population-based data sample from 'National Inter-Scheme Information System on Health Insurance' in the 2011-2015 period. Two control groups (1:5 ratio for the HC and 1:1 for the RA group) were matched to the MS group for year of birth, gender, area of residence and health insurance scheme., Results: A total of 1145 MS patients were identified (sex ratio of 2.5 (F/M); median age 50 years). The prevalence of MDs was higher in the population of patients with MS (37.3%) than in the French general population (13.6%), and to a lesser extent in the RA group (21.1%) leading to the prevalence ratios of 2.8 (95% confidence intervals (CIs) 2.5-3.0) and 1.9 (95% CI 1.7-2.3), respectively., Conclusions: This study confirmed that MS patients are at a higher risk of MDs than the French general population or RA patients., (© The Author(s) 2020.)
- Published
- 2020
- Full Text
- View/download PDF
45. Teriflunomide-exposed pregnancies in a French cohort of patients with multiple sclerosis.
- Author
-
Barataud-Reilhac A, Kerbrat S, Roux J, Guilleux A, Polard E, and Leray E
- Abstract
Objective: To describe pregnancies exposed to teriflunomide (TERIF) in women with multiple sclerosis (MS) in France over the period 2014-2016., Methods: All 15- to 49-year-old women with MS in the national health insurance database were included. Pregnancies that had started between August 2014 and March 2016 were identified from their outcomes. Three groups according to treatment exposure were compared: TERIF, interferons (IFNs) or glatiramer acetate, and no medication., Results: Among the 44,008 women with MS followed 24.5 months on average, 2,639 pregnancies were identified. There were 1,538 pregnancies (58.3%) that were not exposed to any MS treatment in accordance with the guidelines. A total of 673 pregnancies (25.5%) were exposed to IFN and/or glatiramer acetate, and possible or probable exposure to contra-indicated treatments was observed in 428 pregnancies (16.2%), of whom 47 pregnancies were exposed to TERIF. The annual incidence rate of pregnancies exposed to TERIF was 1.4 per 100 patient-years; i.e., 3 times less than the 2 control groups (5.6 and 4.7, respectively). The median exposure duration to TERIF was 45 days after conception. The outcomes comprised 23 live births, 22 abortions (3 times more than the 2 other groups), and 2 miscarriages. All newborns were healthy at birth., Conclusions: Despite specific TERIF guidelines for pregnancy-related issues and the availability of alternative therapies, some pregnancies exposed to TERIF were identified. Most of the cases were because of the absence of the recommended accelerated elimination procedure and appeared to be mostly unplanned pregnancies that probably reflect a lack of effective contraception., (© 2019 American Academy of Neurology.)
- Published
- 2020
- Full Text
- View/download PDF
46. Multiple sclerosis: effect of beta interferon treatment on survival.
- Author
-
Kingwell E, Leray E, Zhu F, Petkau J, Edan G, Oger J, and Tremlett H
- Subjects
- Adult, Aged, Case-Control Studies, Cohort Studies, Female, Follow-Up Studies, Humans, Male, Middle Aged, Multiple Sclerosis, Relapsing-Remitting diagnosis, Prospective Studies, Random Allocation, Survival Rate trends, Treatment Outcome, Interferon-beta therapeutic use, Multiple Sclerosis, Relapsing-Remitting drug therapy, Multiple Sclerosis, Relapsing-Remitting mortality
- Abstract
Worldwide, the beta interferons remain the most commonly prescribed disease-modifying drugs for multiple sclerosis. However, it is unclear if they alter survival. We investigated the association between beta interferon and mortality in the 'real-world' setting. This was a multi-centre population-based observational study of patients with relapsing-onset multiple sclerosis who were initially registered at a clinic in British Columbia, Canada (1980-2004) or Rennes, France (1976-2013). Data on this cohort were accessed from the clinical multiple sclerosis databases and from individually linked health administrative data; all data were collected prospectively. Participants were followed from the latter of their first multiple sclerosis clinic visit, 18th birthday or 1 January 1996; until death, emigration or 31 December 2013. Only those who were naïve to disease-modifying therapy and immunosuppressant treatment of multiple sclerosis at the start of their follow-up were included in the analysis. A nested case-control approach was used. Up to 20 controls, matched to cases (deaths) by country, sex, age ± 5 years, year and disability level at study entry, were randomly selected from the cohort by incidence density sampling. The associations between all-cause mortality and at least 6 months beta interferon exposure, and also cumulative exposure ('low', 6 months to 3 years; and 'high', >3 years), were estimated by conditional logistic regression adjusting for treatment with other disease-modifying therapies and age in years. Further analyses included separate analyses by sex and country, additional adjustment for comorbidity burden in the Canadian cohort, and estimation of the association between beta interferon and multiple sclerosis-related death in both countries. Among 5989 participants (75% female) with a mean age of 42 (standard deviation, SD 11) years at study entry, there were 742 deaths (70% female) and the mean age at death was 61 (SD 13) years. Of these cases, 649 were matched to between one and 20 controls. Results of the conditional logistic regression analyses are expressed as adjusted odds ratios with 95% confidence intervals. The odds of beta interferon exposure were 32% lower among cases than controls (0.68; 0.53-0.89). Increased survival was associated with >3 years beta interferon exposure (0.44; 0.30-0.66), but not between 6 months and 3 years exposure (1.00; 0.73-1.38). Findings were similar within sex and country, and for multiple sclerosis-related death. Beta interferon treatment was associated with a lower mortality risk among people with relapsing-onset multiple sclerosis. Findings were consistent between two geographically distinct regions in North America and Europe., (© The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2019
- Full Text
- View/download PDF
47. From Medical Prescription to Patient Compliance: A Qualitative Insight into the Neurologist-Patient Relationship in Multiple Sclerosis.
- Author
-
Schlegel V and Leray E
- Abstract
Background: Approximately 12 disease-modifying treatments are available worldwide for patients with relapsing multiple sclerosis (MS). These recent therapeutic advances have led to major changes in patient and neurologist attitudes toward drug prescription. Herein, we aimed to characterize patient choice regarding treatment for MS and identify how neurologists assess and monitor patient compliance during follow-up., Methods: In 29 patients with MS, we observed visits to their neurologist to understand how questions related to compliance were addressed in the doctor-patient relationship. Face-to-face interviews were conducted with 15 of the 29 patients to discuss how they dealt with their drug prescription from a patient-centered perspective., Results: Of the 15 patients with MS, nine were offered a choice of treatment. However, we found that neurologists were not always willing to consider the patients' input. Even if physicians attempt to align treatment choice with patient preferences to ensure compliance, preferences are often assumed rather than solicited from patients. Furthermore, patients may be unwilling to make their own treatment decisions. Various ways for neurologists to assess compliance during visits were also identified. Noncompliance can be considered as a way for patients to communicate their preferences and demonstrate involvement in their drug therapy, and it can lead to a renegotiation of the current treatment course., Conclusions: These findings suggest that the neurologist-patient relationship has a great influence on patient compliance throughout the MS disease course.
- Published
- 2018
- Full Text
- View/download PDF
48. Ozone, NO 2 and PM 10 are associated with the occurrence of multiple sclerosis relapses. Evidence from seasonal multi-pollutant analyses.
- Author
-
Jeanjean M, Bind MA, Roux J, Ongagna JC, de Sèze J, Bard D, and Leray E
- Subjects
- Adult, Female, France, Humans, Male, Recurrence, Seasons, Air Pollutants toxicity, Air Pollution adverse effects, Multiple Sclerosis pathology, Nitrogen Dioxide toxicity, Ozone toxicity, Particulate Matter toxicity
- Abstract
Background: Triggers of multiple sclerosis (MS) relapses are essentially unknown. PM
10 exposure has recently been associated with an increased risk of relapses., Objectives: We further explore the short-term associations between PM10 , NO2 , benzene (C6 H6 ), O3 , and CO exposures, and the odds of MS relapses' occurrence., Methods: Using a case-crossover design, we studied 424 MS patients living in the Strasbourg area, France between 2000 and 2009 (1783 relapses in total). Control days were chosen to be ± 35 days relative to the case (relapse) day. Exposure was modeled through ADMS-Urban software at the census block scale. We consider single-pollutant and multi-pollutant conditional logistic regression models coupled with a distributed-lag linear structure, stratified by season ("hot" vs. "cold"), and adjusted for meteorological parameters, pollen count, influenza-like epidemics, and holidays., Results: The single-pollutant analyses indicated: 1) significant associations between MS relapse incidence and exposures to NO2 , PM10 , and O3 , and 2) seasonality in these associations. For instance, an interquartile range increase in NO2 (lags 0-3) and PM10 exposure were associated with MS relapse incidence (OR = 1.08; 95%CI: [1.03-1.14] and OR = 1.06; 95%CI: [1.01-1.11], respectively) during the "cold" season (i.e., October-March). We also observed an association with O3 and MS relapse incidence during "hot" season (OR = 1.16; 95%CI: [1.07-1.25]). C6 H6 and CO were not significantly related to MS relapse incidence. However, using multi-pollutant models, only O3 remained significantly associated with the odds of relapse triggering during "hot" season., Conclusion: We observed significant single-pollution associations between the occurrence of MS relapses and exposures to NO2 , O3 and PM10 , only O3 remained significantly associated with occurrence of MS relapses in the multi-pollutant model., (Copyright © 2018. Published by Elsevier Inc.)- Published
- 2018
- Full Text
- View/download PDF
49. Air pollution by particulate matter PM 10 may trigger multiple sclerosis relapses.
- Author
-
Roux J, Bard D, Le Pabic E, Segala C, Reis J, Ongagna JC, de Sèze J, and Leray E
- Subjects
- Adult, Air Pollution adverse effects, Cross-Over Studies, Environmental Monitoring, Female, France epidemiology, Humans, Male, Middle Aged, Recurrence, Young Adult, Air Pollutants toxicity, Environmental Exposure, Multiple Sclerosis chemically induced, Multiple Sclerosis epidemiology, Particulate Matter toxicity
- Abstract
Background: Seasonal variation of relapses in multiple sclerosis (MS) suggests that season-dependent factors, such as ambient air pollution, may trigger them. However, only few studies have considered possible role of air pollutants as relapse's risk factor., Objective: We investigated the effect of particulate matter of aerodynamic diameter smaller than 10µm (PM
10 ) on MS relapses., Methods: In total, 536 relapsing MS patients from Strasbourg city (France) were included, accounting for 2052 relapses over 2000-2009 period. A case-crossover design was used with cases defined as the days of relapse and controls being selected in the same patient at plus and minus 35 days. Different lags from 0 to 30 days were considered. Conditional logistic regressions, adjusted on meteorological parameters, school and public holidays, were used and exposure was considered first as a quantitative variable and second, as a binary variable., Results: The natural logarithm of the average PM10 concentration lagged from 1 to 3 days before relapse onset was significantly associated with relapse risk (OR =1.40 [95% confidence interval 1.08-1.81]) in cold season. Consistent results were observed when considering PM10 as a binary variable, even if not significant., Conclusion: With an appropriate study design and robust ascertainment of neurological events and exposure, the present study highlights the effect of PM10 on the risk of relapse in MS patients, probably through oxidative stress mechanisms., (Copyright © 2017 Elsevier Inc. All rights reserved.)- Published
- 2017
- Full Text
- View/download PDF
50. Geographical Heterogeneity of Multiple Sclerosis Prevalence in France.
- Author
-
Pivot D, Debouverie M, Grzebyk M, Brassat D, Clanet M, Clavelou P, Confavreux C, Edan G, Leray E, Moreau T, Vukusic S, Hédelin G, and Guillemin F
- Subjects
- Age Factors, Bayes Theorem, Cross-Sectional Studies, Female, France epidemiology, Hospitalization, Humans, Male, Prevalence, Sex Factors, Multiple Sclerosis epidemiology
- Abstract
Introduction: Geographical variation in the prevalence of multiple sclerosis (MS) is controversial. Heterogeneity is important to acknowledge to adapt the provision of care within the healthcare system. We aimed to investigate differences in prevalence of MS in departments in the French territory., Methods: We estimated MS prevalence on October 31, 2004 in 21 administrative departments in France (22% of the metropolitan departments) by using multiple data sources: the main French health insurance systems, neurologist networks devoted to MS and the Technical Information Agency of Hospitalization. We used a spatial Bayesian approach based on estimating the number of MS cases from 2005 and 2008 capture-recapture studies to analyze differences in prevalence., Results: The age- and sex-standardized prevalence of MS per 100,000 inhabitants ranged from 68.1 (95% credible interval 54.6, 84.4) in Hautes-Pyrénées (southwest France) to 296.5 (258.8, 338.9) in Moselle (northeast France). The greatest prevalence was in the northeast departments, and the other departments showed great variability., Discussion: By combining multiple data sources into a spatial Bayesian model, we found heterogeneity in MS prevalence among the 21 departments of France, some with higher prevalence than anticipated from previous publications. No clear explanation related to health insurance coverage and hospital facilities can be advanced. Population migration, socioeconomic status of the population studied and environmental effects are suspected., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: M. Debouverie has done consulting research and/or workshops for Biogen-Idec, Bayer-Schering, Genzyme, Merck-Serono, Novartis, Sanofi-Aventis and Teva Pharma. The organizations mentioned in this statement did not participate in any aspects of the design, execution, analysis, or write-up of this study. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
- Published
- 2016
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.