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1. Review of the pharmacoeconomics of early treatment of multiple sclerosis using interferon beta

Author

Castrop F, Haslinger B, Hemmer B, and Buck D

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Florian Castrop, Bernhard Haslinger, Bernhard Hemmer, Dorothea Buck Department of Neurology, Technische Universität München, Munich, Germany Abstract: Multiple sclerosis (MS) is a common neurological disease with increasing incidence and prevalence. Onset of disease is most frequently in young adulthood when productivity is usually highest; it is of chronic nature and, in the majority of patients, it will result in accumulation of disability. Due to loss of productivity in patients and caregivers as well as high expenses for medical treatment, MS is considered a disease with high economic burden for patients and society. Several drugs have been approved for treatment of MS. While treatment ameliorates the course of the disease, it is very costly; therefore, pharmacoeconomics, evaluating costs and effects of disease-modifying treatment in MS, has become an important issue. Here, we review the economic impact and treatment strategies of MS and discuss recent studies on pharmacoeconomics of early treatment with interferon beta. Keywords: MS, pharmacoeconomics, disease-modifying therapy, interferon beta, CIS

Published
2013

2. Update on immunopathogenesis and immunotherapy in multiple sclerosis

Author

Selter RC and Hemmer B

Subjects
Multiple sclerosis, immunopathogenesis, disease-modifying therapy, Immunologic diseases. Allergy, RC581-607
Abstract

Rebecca C Selter,1 Bernhard Hemmer1–3 1Department of Neurology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; 2Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; 3Competence Network on Multiple Sklerosis, Munich, Germany Abstract: Multiple sclerosis is a chronic inflammatory demyelinating disease of the central nervous system. Both genetic and environmental factors are believed to contribute to the pathogenesis of the disease. Histopathological findings suggest that multiple sclerosis is an immune-mediated disease, involving both the cellular and humoral immune systems. Within the last 20 years, several disease-modifying therapies for the treatment of multiple sclerosis were established. Moreover, promising new substances are currently being tested in clinical trials and will likely broaden the therapeutic opportunities available within the upcoming years. Keywords: multiple sclerosis, immunopathogenesis, disease-modifying therapy

Published
2013

3. MRI plaque imaging reveals high-risk carotid plaques especially in diabetic patients irrespective of the degree of stenosis

Author

Holzer K, Liebig T, Winkler C, Feurer R, Sepp D, Pelisek Jaroslav, Bockelbrink Angelina, Heider P, Saam T, Esposito L, Pauly O, Sadikovic S, Hemmer B, and Poppert H

Subjects
Medical technology, R855-855.5
Abstract

Abstract Background Plaque imaging based on magnetic resonance imaging (MRI) represents a new modality for risk assessment in atherosclerosis. It allows classification of carotid plaques in high-risk and low-risk lesion types (I-VIII). Type 2 diabetes mellitus (DM 2) represents a known risk factor for atherosclerosis, but its specific influence on plaque vulnerability is not fully understood. This study investigates whether MRI-plaque imaging can reveal differences in carotid plaque features of diabetic patients compared to nondiabetics. Methods 191 patients with moderate to high-grade carotid artery stenosis were enrolled after written informed consent was obtained. Each patient underwent MRI-plaque imaging using a 1.5-T scanner with phased-array carotid coils. The carotid plaques were classified as lesion types I-VIII according to the MRI-modified AHA criteria. For 36 patients histology data was available. Results Eleven patients were excluded because of insufficient MR-image quality. DM 2 was diagnosed in 51 patients (28.3%). Concordance between histology and MRI-classification was 91.7% (33/36) and showed a Cohen's kappa value of 0.81 with a 95% CI of 0.98-1.15. MRI-defined high-risk lesion types were overrepresented in diabetic patients (n = 29; 56.8%). Multiple logistic regression analysis revealed association between DM 2 and MRI-defined high-risk lesion types (OR 2.59; 95% CI [1.15-5.81]), independent of the degree of stenosis. Conclusion DM 2 seems to represent a predictor for the development of vulnerable carotid plaques irrespective of the degree of stenosis and other risk factors. MRI-plaque imaging represents a new tool for risk stratification of diabetic patients. See Commentary: http://www.biomedcentral.com/1741-7015/8/78/abstract

Published
2010
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8. Treatment of MOG antibody associated disorders: results of an international survey

Author

Whittam, D. H., Karthikeayan, V., Gibbons, E., Kneen, R., Chandratre, S., Ciccarelli, O., Hacohen, Y., de Seze, J., Deiva, K., Hintzen, R. Q., Wildemann, B., Jarius, S., Kleiter, I., Rostasy, K., Huppke, P., Hemmer, B., Paul, F., Aktas, O., Pröbstel, A. K., Arrambide, G., Tintore, M., Amato, M. P., Nosadini, M., Mancardi, M. M., Capobianco, M., Illes, Z., Siva, A., Altintas, A., Akman-Demir, G., Pandit, L., Apiwattankul, M., Hor, J. Y., Viswanathan, S., Qiu, W., Kim, H. J., Nakashima, I., Fujihara, K., Ramanathan, S., Dale, R. C., Boggild, M., Broadley, S., Lana-Peixoto, M. A., Sato, D. K., Tenembaum, S., Cabre, P., Wingerchuk, D. M., Weinshenker, B. G., Greenberg, B., Matiello, M., Klawiter, E. C., Bennett, J. L., Wallach, A. I., Kister, I., Banwell, B. L., Traboulsee, A., Pohl, D., Palace, J., Leite, M. I., Levy, M., Marignier, R., Solomon, T., Lim, M., Huda, S., and Jacob, A.

Published
2020
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10. B lymphocytes in neuromyelitis optica.

Author

Zamvil, Scott, Yeaman, Michael, Von Buedingen, Hans-Christian, Bennett, JL, O'Connor, KC, Bar-Or, A, Zamvil, SS, Hemmer, B, Tedder, TF, von, H-C, Stuve, O, Yeaman, MR, and Smith, TJ

Abstract

Neuromyelitis optica (NMO) is an inflammatory autoimmune disorder of the CNS that predominantly affects the spinal cord and optic nerves. A majority (approximately 75%) of patients with NMO are seropositive for autoantibodies against the astrocyte water ch

Published
2015

12. Locus for severity implicates CNS resilience in progression of multiple sclerosis

Author

Harroud, A, Stridh, PJ, McCauley, JH, Saarela, J, van den Bosch, AMR, Engelenburg, H, Beecham, A, Alfredsson, L, Alikhani, K, Amezcua, L, Andlauer, TFM, Ban, M, Barcellos, L, Barizzone, N, Berge, T, Berthele, A, Bittner, S, Bos, S, Briggs, FBS, Caillier, S, Calabresi, P, Caputo, D, Carmona-Burgos, D, Cavalla, P, Celius, E, Cerono, G, Chinea, A, Chitnis, T, Clarelli, F, Comabella, M, Comi, G, Cotsapas, C, Cree, BCA, D'Alfonso, S, Dardiotis, E, De Jager, P, Delgado, S, Dubois, B, Engel, S, Esposito, F, Fabis-Pedrini, M, Filippi, M, Fitzgerald, K, Gasperi, C, Gomez, L, Gomez, R, Hadjigeorgiou, G, Hamann, J, Held, F, Henry, R, Hillert, J, Huang, J, Huitinga, I, Islam, T, Isobe, N, Jagodic, M, Kermode, AL, Khalil, M, Kilpatrick, T, Konidari, I, Kreft, K, Lechner-Scott, J, Leone, M, Luessi, F, Malhotra, S, Manouchehrinia, A, Manrique, C, Martinelli-Boneschi, F, Martinez, A, Martinez-Maldonado, V, Mascia, E, Metz, L, Midaglia, L, Montalban, X, Oksenberg, J, Olsson, T, Oturai, A, Paakkonen, K, Parnell, GP, Patsopoulos, N, Pericak-Vance, M, Piehl, F, Rubio, J, Santaniello, A, Santoro, S, Schaefer, C, Sellebjerg, F, Shams, H, Shchetynsky, K, Silva, C, Siokas, V, Sondergaard, H, Sorosina, M, Taylor, B, Vandebergh, M, Vasileiou, E, Vecchio, D, Voortman, M, Weiner, H, Wever, D, Yong, VW, Hafler, D, Stewart, G, Compston, A, Zipp, F, Harbo, H, Hemmer, B, Goris, A, Smolders, J, Hauser, S, Kockum, I, Sawcer, S, Baranzini, S, Jonsdottir, I, Blanco, Y, Llufriu, S, Madireddy, L, Saiz, A, Villoslada, P, Stefansson, K, Harbo, HF, Sawcer, SJ, Baranzini, SE, Harroud, A, Stridh, PJ, McCauley, JH, Saarela, J, van den Bosch, AMR, Engelenburg, H, Beecham, A, Alfredsson, L, Alikhani, K, Amezcua, L, Andlauer, TFM, Ban, M, Barcellos, L, Barizzone, N, Berge, T, Berthele, A, Bittner, S, Bos, S, Briggs, FBS, Caillier, S, Calabresi, P, Caputo, D, Carmona-Burgos, D, Cavalla, P, Celius, E, Cerono, G, Chinea, A, Chitnis, T, Clarelli, F, Comabella, M, Comi, G, Cotsapas, C, Cree, BCA, D'Alfonso, S, Dardiotis, E, De Jager, P, Delgado, S, Dubois, B, Engel, S, Esposito, F, Fabis-Pedrini, M, Filippi, M, Fitzgerald, K, Gasperi, C, Gomez, L, Gomez, R, Hadjigeorgiou, G, Hamann, J, Held, F, Henry, R, Hillert, J, Huang, J, Huitinga, I, Islam, T, Isobe, N, Jagodic, M, Kermode, AL, Khalil, M, Kilpatrick, T, Konidari, I, Kreft, K, Lechner-Scott, J, Leone, M, Luessi, F, Malhotra, S, Manouchehrinia, A, Manrique, C, Martinelli-Boneschi, F, Martinez, A, Martinez-Maldonado, V, Mascia, E, Metz, L, Midaglia, L, Montalban, X, Oksenberg, J, Olsson, T, Oturai, A, Paakkonen, K, Parnell, GP, Patsopoulos, N, Pericak-Vance, M, Piehl, F, Rubio, J, Santaniello, A, Santoro, S, Schaefer, C, Sellebjerg, F, Shams, H, Shchetynsky, K, Silva, C, Siokas, V, Sondergaard, H, Sorosina, M, Taylor, B, Vandebergh, M, Vasileiou, E, Vecchio, D, Voortman, M, Weiner, H, Wever, D, Yong, VW, Hafler, D, Stewart, G, Compston, A, Zipp, F, Harbo, H, Hemmer, B, Goris, A, Smolders, J, Hauser, S, Kockum, I, Sawcer, S, Baranzini, S, Jonsdottir, I, Blanco, Y, Llufriu, S, Madireddy, L, Saiz, A, Villoslada, P, Stefansson, K, Harbo, HF, Sawcer, SJ, and Baranzini, SE

Abstract

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) that results in significant neurodegeneration in the majority of those affected and is a common cause of chronic neurological disability in young adults1,2. Here, to provide insight into the potential mechanisms involved in progression, we conducted a genome-wide association study of the age-related MS severity score in 12,584 cases and replicated our findings in a further 9,805 cases. We identified a significant association with rs10191329 in the DYSF-ZNF638 locus, the risk allele of which is associated with a shortening in the median time to requiring a walking aid of a median of 3.7 years in homozygous carriers and with increased brainstem and cortical pathology in brain tissue. We also identified suggestive association with rs149097173 in the DNM3-PIGC locus and significant heritability enrichment in CNS tissues. Mendelian randomization analyses suggested a potential protective role for higher educational attainment. In contrast to immune-driven susceptibility3, these findings suggest a key role for CNS resilience and potentially neurocognitive reserve in determining outcome in MS.

Published
2023

13. Retinal ganglion cell loss is associated with future disability worsening in early relapsing remitting multiple sclerosis

Author

Wauschkuhn, J., Solorza Buenrostro, G., Aly, L., Asseyer, S., Wicklein, R., Hartberger, J.M., Ruprecht, K., Mühlau, M., Schmitz-Hübsch, T., Chien, C., Berthele, A., Brandt, A.U., Korn, T., Paul, F., Hemmer, B., Zimmermann, H.G., and Knier, B.

Subjects
Function and Dysfunction of the Nervous System
Abstract

BACKGROUND: Thinning of the retinal combined ganglion cell and inner plexiform layer (GCIP) as measured by optical coherence tomography (OCT) is a common finding in patients with multiple sclerosis. This study aimed to investigate whether a single retinal OCT analysis allows prediction of future disease activity after a first demyelinating event. METHODS: Observational cohort study including 201 patients with recently diagnosed clinically isolated syndrome or relapsing remitting multiple sclerosis from two German tertiary referral centers. Individuals underwent neurological examination, MRI and OCT at baseline and at yearly follow-up visits. RESULTS: Patients were included at a median disease duration of 2.0 months. During a median follow-up of 59 (interquartile range 43 - 71) months, 82% of patients had ongoing disease activity as demonstrated by failing the no evidence of disease activity (NEDA)-3 criteria and 19% presented with confirmed disability worsening. A GCIP threshold ≤ 77 μm at baseline identified patients with a high risk for NEDA-3 failure (hazard ratio 1.7 [95% CI 1.1 - 2.8], p=0.04) and GCIP measures ≤ 69 μm predicted disability worsening (hazard ratio 2.2 (95% CI, 1.2 - 4.3); p=0.01). Higher rates of annualized GCIP loss increased the risk for disability worsening (hazard ratio 2.5 per 1 μm/year increase of GCIP loss, p=0.03). CONCLUSIONS: Ganglion cell thickness as measured by OCT after the initial manifestation of multiple sclerosis may allow early risk stratification as to future disease activity and progression.

Published
2023

14. Epidemiology of amyotrophic lateral sclerosis in Southern Germany

Author

Rosenbohm, Angela, Peter, Raphael S., Erhardt, Siegfried, Lulé, Dorothée, Rothenbacher, Dietrich, Ludolph, Albert C., Nagel, Gabriele, Andres, F., Arnold, G., Asshauer, I., Baezner, H., Baier, H., Beattie, J., Becker, T., Behne, F., Bengel, D., Boertlein, A., Bracknies, V., Broer, R., Burkhard, A., Connemann, B., Dempewolf, S., Dettmers, C., Dieterich, M., Etzersdorfer, E., Freund, W., Gersner, T., Gold, H.-J., Hacke, W., Hamann, G., Hecht, M., Heimbach, B., Hemmer, B., Hendrich, C., Herting, B., Huber, R., Huber-Hartmann, K., Hülser, P.-J., Jüttler, E., Kammerer-Ciernioch, J., Kaspar, A., Kern, R., Kimmig, H., Klebe, S., Kloetzsch, C., Klopstock, T., Kohler, A., Kuethmann, A., Lewis, D., Lichy, C., Lindner, A., Mäurer, M., Maier-Janson, W., Metrikat, J., Meudt, O., Meyer, A., Müller vom Hagen, J., Naegele, A., Naumann, M., Neher, K.-D., Neuhaus, O., Neusch, C., Niehaus, L., Opherk, C., Raape, J., Ratzka, P., Rettenmayr, C., Riepe, M. W., Rothmeier, J., Sabolek, M., Schabet, M., Schell, C., Schlipf, T., Schmauss, M., Schoels, L., Schuetz, K., Schweigert, B., Sommer, N., Sperber, W., Steber, C., Steber, R., Stroick, M., Synofzik, M., Trottenberg, T., Tumani, H., Wahl, C., Weber, F., Weiler, M., Weiller, C., Wessig, C., Winkler, A., and The ALS Registry Study Group

Published
2017
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15. ECTRIMS/EAN guideline on the pharmacological treatment of people with multiple sclerosis

Author

Montalban, X., Gold, R., Thompson, A. J., Otero‐Romero, S., Amato, M. P., Chandraratna, D., Clanet, M., Comi, G., Derfuss, T., Fazekas, F., Hartung, H. P., Havrdova, E., Hemmer, B., Kappos, L., Liblau, R., Lubetzki, C., Marcus, E., Miller, D. H., Olsson, T., Pilling, S., Selmaj, K., Siva, A., Sorensen, P. S., Sormani, M. P., Thalheim, C., Wiendl, H., and Zipp, F.

Published
2018
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17. Monitoring von Blutparametern unter verlaufsmodifizierender MS-Therapie: Substanzspezifische Relevanz und aktuelle Handlungsempfehlungen

Author

Klotz, L., Berthele, A., Brück, W., Chan, A., Flachenecker, P., Gold, R., Haghikia, A., Hellwig, K., Hemmer, B., Hohlfeld, R., Korn, T., Kümpfel, T., Lang, M., Limmroth, V., Linker, R. A., Meier, U., Meuth, S. G., Paul, F., Salmen, A., Stangel, M., Tackenberg, B., Tumani, H., Warnke, C., Weber, M. S., Ziemssen, T., Zipp, F., and Wiendl, H.

Published
2016
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19. Artificial intelligence extension of the OSCAR-IB criteria

Author

Petzold, A., Albrecht, P., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., Jensen, G. P., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., Zimmermann, H., Albrecht P., Petzold A., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., P. , Jensen, G., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., and Zimmermann, H.

Subjects
0301 basic medicine, Big Data, medicine.medical_specialty, Neurology, media_common.quotation_subject, Big data, MEDLINE, Reviews, Socio-culturale, Neurosciences. Biological psychiatry. Neuropsychiatry, Review, Public domain, Retina, Cohort Studies, 03 medical and health sciences, Annotation, 0302 clinical medicine, Artificial Intelligence, medicine, Humans, Quality (business), RC346-429, Tomography, media_common, Image pattern recognition, business.industry, General Neuroscience, Nervous System Diseases, Tomography, Optical Coherence, Algorithms, 030104 developmental biology, Optical Coherence, Imaging technology, RC0321, Neurology. Diseases of the nervous system, Neurology (clinical), Artificial intelligence, sense organs, business, 030217 neurology & neurosurgery, RC321-571
Abstract

Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data in neurology is optical coherence tomography (OCT). We highlight that OCT changes observed in the retina, as a window to the brain, are small, requiring rigorous quality control pipelines. There are existing tools for this purpose. Firstly, there are human‐led validated consensus quality control criteria (OSCAR‐IB) for OCT. Secondly, these criteria are embedded into OCT reporting guidelines (APOSTEL). The use of the described annotation of failed OCT scans advances machine learning. This is illustrated through the present review of the advantages and disadvantages of AI‐based applications to OCT data. The neurological conditions reviewed here for the use of big data include Alzheimer disease, stroke, multiple sclerosis (MS), Parkinson disease, and epilepsy. It is noted that while big data is relevant for AI, ownership is complex. For this reason, we also reached out to involve representatives from patient organizations and the public domain in addition to clinical and research centers. The evidence reviewed can be grouped in a five‐point expansion of the OSCAR‐IB criteria to embrace AI (OSCAR‐AI). The review concludes by specific recommendations on how this can be achieved practically and in compliance with existing guidelines.

Published
2021

20. Development and evaluation of evidence-based patient information handbooks about multiple sclerosis immunotherapies

Author

Schneider, A., Fasshauer, E., Scheiderbauer, J., Warnke, C., Koepke, S., Kasper, J., Toussaint, M., Temmes, H., Hemmer, B., Schiffmann, I, Rahn, A. C., Heesen, C., Schneider, A., Fasshauer, E., Scheiderbauer, J., Warnke, C., Koepke, S., Kasper, J., Toussaint, M., Temmes, H., Hemmer, B., Schiffmann, I, Rahn, A. C., and Heesen, C.

Abstract

Background: Multiple sclerosis treatment options are increasing. Evidence-based patient information (EBPI) are therefore crucial to enable patient involvement in decision making. Based on earlier work on decision support, patient information handbooks on 8 MS immunotherapies were developed, piloted and evaluated with support from the German Clinical Competence Network MS and the German MS Society. Methods: Handbooks were structured according to EBPI concepts. Drafts were commented by patient representatives and neurologists with an MS expertise. Executive boards of the German MS Society and the Competence Network as well as pharmaceutical companies' feedback was included. Handbooks were distributed among MS neurologists by the German MS Society. Evaluation followed applying a mixed methods approach with interviews, focus groups and surveys. One survey addressed persons with MS (pwMS) based on a questionnaire included in each handbook. Neurologists who received printed patient handbooks were invited to give feedback in a second survey. Results: Eight handbooks were developed providing absolute and relative risk information in numbers and figures as well as monitoring needs and drug fact boxes. Despite the high amount of information and the display of low absolute risk reduction rates of treatments, handbooks were overall appreciated by pwMS (n=107) and mostly also by physicians (n=24). For more than 70% of the pwMS the information was new, understandable and supportive for decision making. But patients felt uncomfortable with relative risk information. However, response rates in the evaluation were low, exposing the challenges when implementing EBPI into clinical care. Therefore, conclusions must be considered preliminary. Conclusion: EBPI on immunotherapies for MS seem feasible and are appreciated by patients and treating neurologists but more implementation research is needed.

Published
2022

24. Aktuelles zur Therapieumstellung bei Multipler Sklerose

Author

Kolber, P., Luessi, F., Meuth, S.G., Klotz, L., Korn, T., Trebst, C., Tackenberg, B., Kieseier, B., Kümpfel, T., Fleischer, V., Tumani, H., Wildemann, B., Lang, M., Flachenecker, P., Meier, U., Brück, W., Limmroth, V., Haghikia, A., Hartung, H.-P., Stangel, M., Hohlfeld, R., Hemmer, B., Gold, R., Wiendl, H., and Zipp, F.

Published
2015
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26. Toskana-Virus-Meningoenzephalitis in Oberbayern

Author

Wenzel, M., Afzali, A.M., Hoffmann, D., Zange, S., Georgi, E., and Hemmer, B.

Abstract

Das durch Sandmücken übertragene Toskana-Virus (TOSV), ein Phlebovirus aus der Familie der Phenuiviridae, zählt in Endemiegebieten zu den häufigsten Erregern einer Meningoenzephalitis (ME) (1). Kenntnisse über regionale Erreger sind im Hinblick auf die initiale Behandlung von besonderer Bedeutung. Zuletzt mehrten sich Meldungen über die Ausbreitung von Sandmücken (2), sodass eine endemische Zirkulation des TOSV auch in Deutschland denkbar ist.

Published
2022

29. Myelin-oligodendrocyte glycoprotein antibody-associated disease

Author

Marignier, R. Hacohen, Y. Cobo-Calvo, A. Pröbstel, A.-K. Aktas, O. Alexopoulos, H. Amato, M.-P. Asgari, N. Banwell, B. Bennett, J. Brilot, F. Capobianco, M. Chitnis, T. Ciccarelli, O. Deiva, K. De Sèze, J. Fujihara, K. Jacob, A. Kim, H.J. Kleiter, I. Lassmann, H. Leite, M.-I. Linington, C. Meinl, E. Palace, J. Paul, F. Petzold, A. Pittock, S. Reindl, M. Sato, D.K. Selmaj, K. Siva, A. Stankoff, B. Tintore, M. Traboulsee, A. Waters, P. Waubant, E. Weinshenker, B. Derfuss, T. Vukusic, S. Hemmer, B.

Abstract

Myelin-oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is a recently identified autoimmune disorder that presents in both adults and children as CNS demyelination. Although there are clinical phenotypic overlaps between MOGAD, multiple sclerosis, and aquaporin-4 antibody-associated neuromyelitis optica spectrum disorder (NMOSD) cumulative biological, clinical, and pathological evidence discriminates between these conditions. Patients should not be diagnosed with multiple sclerosis or NMOSD if they have anti-MOG antibodies in their serum. However, many questions related to the clinical characterisation of MOGAD and pathogenetic role of MOG antibodies are still unanswered. Furthermore, therapy is mainly based on standard protocols for aquaporin-4 antibody-associated NMOSD and multiple sclerosis, and more evidence is needed regarding how and when to treat patients with MOGAD. © 2021 Elsevier Ltd

Published
2021

35. Ocrelizumab versus Placebo in Primary Progressive Multiple Sclerosis

Author

Montalban, X., Hauser, S. L., Kappos, L., Arnold, D. L., Bar‑or, A., Comi, G., de Seze, J., Giovannoni, G., Hartung, H. -P., Hemmer, B., Lublin, F., Rammohan, K. W., Selmaj, K., Traboulsee, A., Sauter, A., Masterman, D., Fontoura, P., Belachew, S., Garren, H., Mairon, N., Chin, P., Wolinsky, J. S., Uccelli, A, for the ORATORIO Clinical Investigators, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Med Staf Spec Neurologie (9), Klinische Neurowetenschappen, Institut Català de la Salut, [Montalban X] Hospital Universitari Vall d’Hebron, Barcelona, Spain. [Hauser SL] University of California, San Francisco, United States. [Kappos L] University Hospital Basel, Basel, Switzerland. [Arnold DL, Bar-Or A] McGill University, Montreal, Canada. [Comi G] University Vita-Salute San Raffaele, Milan, Italy., Hospital Universitari Vall d'Hebron, 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, CHU Strasbourg, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Montalban, X., Hauser, S. L., Kappos, L., Arnold, D. L., Bar or, A., Comi, Giancarlo, De Seze, J., Giovannoni, G., Hartung, H. . P., Hemmer, B., Lublin, F., Rammohan, K. W., Selmaj, K., Traboulsee, A., Sauter, A., Masterman, D., Fontoura, P., Belachew, S., Garren, H., Mairon, N., Chin, P., and Wolinsky, J. S.

Subjects
Male, 0301 basic medicine, Intention to Treat Analysi, T-Lymphocytes, Esclerosi múltiple, enfermedades del sistema nervioso::enfermedades autoinmunitarias del sistema nervioso::enfermedades autoinmunes desmielinizantes del SNC::esclerosis múltiple::esclerosis múltiple crónica progresiva [ENFERMEDADES], Other subheadings::Other subheadings::/drug therapy [Other subheadings], DOUBLE-BLIND, chemistry.chemical_compound, 0302 clinical medicine, DEMYELINATION, Monoclonal, Clinical endpoint, aminoácidos, péptidos y proteínas::proteínas::proteínas sanguíneas::inmunoproteínas::inmunoglobulinas::anticuerpos::anticuerpos monoclonales::anticuerpos monoclonales humanizados [COMPUESTOS QUÍMICOS Y DROGAS], Infusions, Intravenou, Other subheadings::/therapeutic use [Other subheadings], Otros calificadores::Otros calificadores::/inmunología [Otros calificadores], Humanized, Otros calificadores::Otros calificadores::/tratamiento farmacológico [Otros calificadores], MULTICENTER TRIAL, Enfermedades del Sistema Nervioso::Enfermedades Autoinmunes del Sistema Nervioso::Enfermedades Autoinmunes Desmielinizantes SNC::Esclerosis Múltiple::Esclerosis Múltiple Crónica Progresiva [ENFERMEDADES], DAMAGE, B-Lymphocytes, Medicine (all), Hazard ratio, B-Lymphocyte, Brain, General Medicine, Multiple Sclerosis, Chronic Progressive, Middle Aged, Magnetic Resonance Imaging, Intention to Treat Analysis, 3. Good health, Chronic Progressive, Disease Progression, Female, Intravenous, Human, medicine.drug, Adult, Infusions, medicine.medical_specialty, Multiple Sclerosis, Adolescent, CANCER-RISK, Antibodies, Monoclonal, Humanized, Amino Acids, Peptides, and Proteins::Proteins::Blood Proteins::Immunoproteins::Immunoglobulins::Antibodies::Antibodies, Monoclonal::Antibodies, Monoclonal, Humanized [CHEMICALS AND DRUGS], Placebo, Antibodies, Young Adult, 03 medical and health sciences, Double-Blind Method, Nervous System Diseases::Autoimmune Diseases of the Nervous System::Demyelinating Autoimmune Diseases, CNS::Multiple Sclerosis::Multiple Sclerosis, Chronic Progressive [DISEASES], Other subheadings::Other subheadings::/immunology [Other subheadings], Multicenter trial, Internal medicine, medicine, Humans, CD20, Lymphocyte Count, Antigens, Intention-to-treat analysis, Otros calificadores::/uso terapéutico [Otros calificadores], business.industry, Multiple sclerosis, Antigens, CD20, medicine.disease, Infusions, Intravenous, Surgery, PATHOLOGY, 030104 developmental biology, Siponimod, T-Lymphocyte, ANTIBODY, chemistry, Ocrelizumab, Medicaments immunosupressors, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery
Abstract

Ocrelizumab; Placebo; Multiple sclerosis Ocrelizumab; Placebo; Esclerosi múltiple Ocrelizumab; Placebo; Esclerosis múltiple BACKGROUND: An evolving understanding of the immunopathogenesis of multiple sclerosis suggests that depleting B cells could be useful for treatment. We studied ocrelizumab, a humanized monoclonal antibody that selectively depletes CD20-expressing B cells, in the primary progressive form of the disease. METHODS: In this phase 3 trial, we randomly assigned 732 patients with primary progressive multiple sclerosis in a 2:1 ratio to receive intravenous ocrelizumab (600 mg) or placebo every 24 weeks for at least 120 weeks and until a prespecified number of confirmed disability progression events had occurred. The primary end point was the percentage of patients with disability progression confirmed at 12 weeks in a time-to-event analysis. RESULTS: The percentage of patients with 12-week confirmed disability progression was 32.9% with ocrelizumab versus 39.3% with placebo (hazard ratio, 0.76; 95% confidence interval [CI], 0.59 to 0.98; P=0.03). The percentage of patients with 24-week confirmed disability progression was 29.6% with ocrelizumab versus 35.7% with placebo (hazard ratio, 0.75; 95% CI, 0.58 to 0.98; P=0.04). By week 120, performance on the timed 25-foot walk worsened by 38.9% with ocrelizumab versus 55.1% with placebo (P=0.04); the total volume of brain lesions on T2-weighted magnetic resonance imaging (MRI) decreased by 3.4% with ocrelizumab and increased by 7.4% with placebo (P

Published
2017

39. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

Author

Patsopoulos, NA, Baranzini, SE, Santaniello, A, Shoostari, P, Cotsapas, C, Wong, G, Beecham, AH, James, T, Replogle, J, Vlachos, IS, McCabe, C, Pers, TH, Brandes, A, White, C, Keenan, B, Cimpean, M, Winn, P, Panteliadis, IP, Robbins, A, Andlauer, TFM, Zarzycki, O, Dubois, B, Goris, A, Sondergaard, HB, Sellebjerg, F, Sorensen, PS, Ullum, H, Thorner, LW, Saarela, J, Cournu-Rebeix, I, Damotte, V, Fontaine, B, Guillot-Noel, L, Lathrop, M, Vukusic, S, Berthele, A, Pongratz, V, Gasperi, C, Graetz, C, Grummel, V, Hemmer, B, Hoshi, M, Knier, B, Korn, T, Lill, CM, Luessi, F, Muhlau, M, Zipp, F, Dardiotis, E, Agliardi, C, Amoroso, A, Barizzone, N, Benedetti, MD, Bernardinelli, L, Cavalla, P, Clarelli, F, Comi, G, Cusi, D, Esposito, F, Ferre, L, Galimberti, D, Guaschino, C, Leone, MA, Martinelli, V, Moiola, L, Salvetti, M, Sorosina, M, Vecchio, D, Zauli, A, Santoro, S, Mancini, N, Zuccala, M, Mescheriakova, J, van Duijn, C, Bos, SD, Celius, EG, Spurkland, A, Comabella, M, Montalban, X, Alfredsson, L, Bomfim, IL, Gomez-Cabrero, D, Hillert, J, Jagodic, M, Linden, M, Piehl, F, Jelcic, I, Martin, R, Sospedra, M, Baker, A, Ban, M, Hawkins, C, Hysi, P, Kalra, S, Karpe, F, Khadake, J, Lachance, G, Molyneux, P, Neville, M, Thorpe, J, Bradshaw, E, Caillier, SJ, Calabresi, P, Cree, BAC, Cross, A, Davis, M, de Bakker, PWI, Delgado, S, Dembele, M, Edwards, K, Fitzgerald, K, Frohlich, IY, Gourraud, PA, Haines, JL, Hakonarson, H, Kimbrough, D, Isobe, N, Konidari, I, Lathi, E, Lee, MH, Li, T, An, D, Zimmer, A, Madireddy, L, Manrique, CP, Mitrovic, M, Olah, M, Patrick, E, Pericak-Vance, MA, Piccio, L, Schaefer, C, Weiner, H, Lage, K, Scott, RJ, Lechner-Scott, J, Leal, R, Moscato, P, Booth, DR, Stewart, GJ, Vucic, S, Pame, G, BamettO, M, Mason, D, GriffithS, L, Broadley, S, Tajouri, L, Baxter, A, Slee, M, Taylor, BV, Charlesworth, J, Kilpatrick, TJ, Rubio, J, Jokubaitis, V, Wiley, J, Butzkueven, H, Leslie, S, Motyer, A, Stankovich, J, Carroll, WM, Kermode, AG, Edrin, M, Barclay, M, Peyrin-Biroulet, L, Chamaillard, M, Colombe, JF, Cottone, M, Croft, A, D'Inca, R, Halfvarson, J, Hanigan, K, Henderson, P, Hugot, JP, Karban, A, Kennedy, NA, Khan, MA, Lemann, M, Levine, A, Massey, D, Milla, M, Motoey, GW, Ng, SME, Oikonomnou, J, Peeters, H, Proctor, DD, Rahier, JF, Roberts, R, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, KM, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, MH, Zhang, H, Zhang, W, Donnelly, P, Barroso, I, Blackwe, JM, Bramon, E, Brown, MA, Casas, JP, Corvin, A, Deloukas, P, Duncanson, A, Jankowski, J, Markus, HS, Mathew, CG, Palmer, CNA, Plomin, R, Rautanen, A, Sawcer, SJ, Trembath, RC, Viswanathan, AC, Wood, NW, Spencer, CCA, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, R, Strange, A, Sul, Z, Vukcevic, DA, Langford, C, Hunt, SE, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, SJ, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, McCann, OT, Liddle, J, Potter, SC, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, Compston, A, Hafler, D, Harbo, HF, Hauser, SL, Stewart, G, D'Alfonso, S, Hadjigeorgiou, G, Taylor, B, Barcellos, LF, Booth, D, Hintzen, R, Kockum, I, Martinelli-Boneschi, F, McCauley, JL, Oksenberg, JR, Oturai, A, Sawcer, S, Ivinson, AJ, Olsson, T, De Jager, PL, Patsopoulos, Na, Baranzini, Se, Santaniello, A, Shoostari, P, Cotsapas, C, Wong, G, Beecham, Ah, James, T, Replogle, J, Vlachos, I, Mccabe, C, Pers, Th, Brandes, A, White, C, Keenan, B, Cimpean, M, Winn, P, Panteliadis, Ip, Robbins, A, Andlauer, Tfm, Zarzycki, O, Dubois, B, Goris, A, Sondergaard, Hb, Sellebjerg, F, Sorensen, P, Ullum, H, Thorner, Lw, Saarela, J, Cournu-Rebeix, I, Damotte, V, Fontaine, B, Guillot-Noel, L, Lathrop, M, Vukusic, S, Berthele, A, Pongratz, V, Gasperi, C, Graetz, C, Grummel, V, Hemmer, B, Hoshi, M, Knier, B, Korn, T, Lill, Cm, Luessi, F, Muhlau, M, Zipp, F, Dardiotis, E, Agliardi, C, Amoroso, A, Barizzone, N, Benedetti, Md, Bernardinelli, L, Cavalla, P, Clarelli, F, Comi, G, Cusi, D, Esposito, F, Ferre, L, Galimberti, D, Guaschino, C, Leone, Ma, Martinelli, V, Moiola, L, Salvetti, M, Sorosina, M, Vecchio, D, Zauli, A, Santoro, S, Mancini, N, Zuccala, M, Mescheriakova, J, van Duijn, C, Bos, Sd, Celius, Eg, Spurkland, A, Comabella, M, Montalban, X, Alfredsson, L, Bomfim, Il, Gomez-Cabrero, D, Hillert, J, Jagodic, M, Linden, M, Piehl, F, Jelcic, I, Martin, R, Sospedra, M, Baker, A, Ban, M, Hawkins, C, Hysi, P, Kalra, S, Karpe, F, Khadake, J, Lachance, G, Molyneux, P, Neville, M, Thorpe, J, Bradshaw, E, Caillier, Sj, Calabresi, P, Cree, Bac, Cross, A, Davis, M, de Bakker, Pwi, Delgado, S, Dembele, M, Edwards, K, Fitzgerald, K, Frohlich, Iy, Gourraud, Pa, Haines, Jl, Hakonarson, H, Kimbrough, D, Isobe, N, Konidari, I, Lathi, E, Lee, Mh, Li, T, An, D, Zimmer, A, Madireddy, L, Manrique, Cp, Mitrovic, M, Olah, M, Patrick, E, Pericak-Vance, Ma, Piccio, L, Schaefer, C, Weiner, H, Lage, K, Scott, Rj, Lechner-Scott, J, Leal, R, Moscato, P, Booth, Dr, Stewart, Gj, Vucic, S, Pame, G, Bametto, M, Mason, D, Griffiths, L, Broadley, S, Tajouri, L, Baxter, A, Slee, M, Taylor, Bv, Charlesworth, J, Kilpatrick, Tj, Rubio, J, Jokubaitis, V, Wiley, J, Butzkueven, H, Leslie, S, Motyer, A, Stankovich, J, Carroll, Wm, Kermode, Ag, Edrin, M, Barclay, M, Peyrin-Biroulet, L, Chamaillard, M, Colombe, Jf, Cottone, M, Croft, A, D'Inca, R, Halfvarson, J, Hanigan, K, Henderson, P, Hugot, Jp, Karban, A, Kennedy, Na, Khan, Ma, Lemann, M, Levine, A, Massey, D, Milla, M, Motoey, Gw, Ng, Sme, Oikonomnou, J, Peeters, H, Proctor, Dd, Rahier, Jf, Roberts, R, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, Km, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, Mh, Zhang, H, Zhang, W, Donnelly, P, Barroso, I, Blackwe, Jm, Bramon, E, Brown, Ma, Casas, Jp, Corvin, A, Deloukas, P, Duncanson, A, Jankowski, J, Markus, H, Mathew, Cg, Palmer, Cna, Plomin, R, Rautanen, A, Sawcer, Sj, Trembath, Rc, Viswanathan, Ac, Wood, Nw, Spencer, Cca, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, R, Strange, A, Sul, Z, Vukcevic, Da, Langford, C, Hunt, Se, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, Sj, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, Mccann, Ot, Liddle, J, Potter, Sc, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, Compston, A, Hafler, D, Harbo, Hf, Hauser, Sl, Stewart, G, D'Alfonso, S, Hadjigeorgiou, G, Taylor, B, Barcellos, Lf, Booth, D, Hintzen, R, Kockum, I, Martinelli-Boneschi, F, Mccauley, Jl, Oksenberg, Jr, Oturai, A, Sawcer, S, Ivinson, Aj, Olsson, T, De Jager, Pl, Neurology, and Immunology

Subjects
0301 basic medicine, Multiple Sclerosis, Quantitative Trait Loci, Inheritance Patterns, Cell Cycle Proteins, Genome-wide association study, Biology, Major histocompatibility complex, Polymorphism, Single Nucleotide, Major Histocompatibility Complex, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Immune system, Gene Frequency, Autoimmune Process, medicine, Humans, RNA-Seq, X chromosome, Genetics, Chromosomes, Human, X, Multidisciplinary, Microglia, Multiple sclerosis, GTPase-Activating Proteins, Chromosome Mapping, Genomics, medicine.disease, 3. Good health, 030104 developmental biology, medicine.anatomical_structure, Genetic Loci, Case-Control Studies, biology.protein, Genome-Wide Association Study, 030217 neurology & neurosurgery
Abstract

Genetic roots of multiple sclerosis The genetics underlying who develops multiple sclerosis (MS) have been difficult to work out. Examining more than 47,000 cases and 68,000 controls with multiple genome-wide association studies, the International Multiple Sclerosis Genetics Consortium identified more than 200 risk loci in MS (see the Perspective by Briggs). Focusing on the best candidate genes, including a model of the major histocompatibility complex region, the authors identified statistically independent effects at the genome level. Gene expression studies detected that every major immune cell type is enriched for MS susceptibility genes and that MS risk variants are enriched in brain-resident immune cells, especially microglia. Up to 48% of the genetic contribution of MS can be explained through this analysis. Science , this issue p. eaav7188 ; see also p. 1383

Published
2019

41. Correction to: A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer’s disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity (Acta Neuropathologica, (2019), 138, 2, (237-250), 10.1007/s00401-019-02026-8)

Author

van der Lee, S. J., Conway, O. J., Jansen, I., Carrasquillo, M. M., Kleineidam, L., van den Akker, E., Hernandez, I., van Eijk, K. R., Stringa, N., Chen, J. A., Zettergren, A., Andlauer, T. F. M., Diez-Fairen, M., Simon-Sanchez, J., Lleo, A., Zetterberg, H., Nygaard, M., Blauwendraat, C., Savage, J. E., Mengel-From, J., Moreno-Grau, S., Wagner, M., Fortea, J., Keogh, M. J., Blennow, K., Skoog, I., Friese, M. A., Pletnikova, O., Zulaica, M., Lage, C., de Rojas, I., Riedel-Heller, S., Illan-Gala, I., Wei, W., Jeune, B., Orellana, A., Then Bergh, F., Wang, X., Hulsman, M., Beker, N., Tesi, N., Morris, C. M., Indakoetxea, B., Collij, L. E., Scherer, M., Morenas-Rodriguez, E., Ironside, J. W., van Berckel, B. N. M., Alcolea, D., Wiendl, H., Strickland, S. L., Pastor, P., Rodriguez Rodriguez, E., Mead, S., Synofzik, M., van Swieten, J. C., Leber, I., Ferrari, R., Hernandez, D. G., Nalls, M. A., Rohrer, J. D., Ramasamy, A., Kwok, J. B. J., Dobson-Stone, C., Schofield, P. R., Halliday, G. M., Hodges, J. R., Piguet, O., Bartley, L., Thompson, E., Borroni, B., Padovani, A., Cruchaga, C., Cairns, N. J., Benussi, L., Binetti, G., Ghidoni, R., Forloni, G., Albani, D., Galimberti, D., Fenoglio, C., Serpente, M., Scarpini, E., Blesa, R., Landqvist Waldo, M., Nilsson, K., Nilsson, C., Mackenzie, I. R. A., Hsiung, G. -Y. R., Mann, D. M. A., Grafman, J., Attems, J., Griffiths, T. D., Mckeith, I. G., Thomas, A. J., Pietrini, P., Huey, E. D., Wassermann, E. M., Baborie, A., Jaros, E., Tierney, M. C., Razquin, C., Ortega-Cubero, S., Alonso, E., Perneczky, R., Diehl-Schmid, J., Alexopoulos, P., Kurz, A., Rainero, I., Rubino, E., Pinessi, L., Rogaeva, E., St George-Hyslop, P., Rossi, G., Tagliavini, F., Giaccone, G., Rowe, J. B., Schlachetzki, J. C. M., Uphill, J., Collinge, J., Danek, A., Van Deerlin, V. M., Grossman, M., Trojanowski, J. Q., van der Zee, J., Van Broeckhoven, C., Cappa, S. F., Hannequin, D., Golfier, V., Vercelletto, M., Brice, A., Nacmias, B., Sorbi, S., Bagnoli, S., Piaceri, I., Nielsen, J. E., Hjermind, L. E., Riemenschneider, M., Mayhaus, M., Ibach, B., Gasparoni, G., Pichler, S., Gu, W., Rossor, M. N., Fox, N. C., Warren, J. D., Spillantini, M. G., Morris, H. R., Rizzu, P., Snowden, J. S., Rollinson, S., Richardson, A., Gerhard, A., Bruni, A. C., Maletta, R., Frangipane, F., Cupidi, C., Bernardi, L., Anfossi, M., Gallo, M., Conidi, M. E., Smirne, N., Baker, M., Josephs, K. A., Parisi, J. E., Seeley, W. W., Miller, B. L., Karydas, A. M., Rosen, H., Dopper, E. G. P., Seelaar, H., Logroscino, G., Capozzo, R., Novelli, V., Puca, A. A., Franceschi, M., Postiglione, A., Milan, G., Sorrentino, P., Kristiansen, M., Chiang, H. -H., Graff, C., Pasquier, F., Rollin, A., Deramecourt, V., Lebouvier, T., Kapogiannis, D., Ferrucci, L., Pickering-Brown, S., Singleton, A. B., Hardy, J., Momeni, P., Boeve, B. F., Petersen, R. C., Ferman, T. J., van Gerpen, J. A., Reinders, M. J. T., Uitti, R. J., Tarraga, L., Maier, W., Dols-Icardo, O., Kawalia, A., Dalmasso, M. C., Boada, M., Zettl, U. K., van Schoor, N. M., Beekman, M., Allen, M., Masliah, E., de Munain, A. L., Pantelyat, A., Wszolek, Z. K., Ross, O. A., Dickson, D. W., Graff-Radford, N. R., Knopman, D., Rademakers, R., Lemstra, A. W., Pijnenburg, Y. A. L., Scheltens, P., Gasser, T., Chinnery, P. F., Hemmer, B., Huisman, M. A., Troncoso, J., Moreno, F., Nohr, E. A., Sorensen, T. I. A., Heutink, P., Sanchez-Juan, P., Posthuma, D., Coppola, G., Varpetian, A., Foroud, T. M., Levey, A. I., Kukull, W. A., Mendez, M. F., Ringman, J., Chui, H., Cotman, C., Decarli, C., Geschwind, D. H., Clarimon, J., Christensen, K., Ertekin-Taner, N., Scholz, S. W., Ramirez, A., Ruiz, A., Slagboom, E., van der Flier, W. M., Holstege, H., Neurology, Epidemiology and Data Science, Human genetics, APH - Societal Participation & Health, APH - Aging & Later Life, Amsterdam Neuroscience - Complex Trait Genetics, APH - Personalized Medicine, and APH - Methodology

Subjects
education
Abstract

The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.

Published
2020

42. Aggressive multiple sclerosis (2): Treatment

Author

Arrambide, G., Iacobaeus, E., Amato, M. P., Derfuss, T., Vukusic, S., Hemmer, B., Brundin, L., Tintore, M., Berger, J., Boyko, A., Brinar, V., Brownlee, W., Ciccarelli, O., Coles, A., Correale, J., Cutter, G., Edan, G., Evangelou, N., Fernandez, O., Frederiksen, J., Gold, R., Hacohen, Y., Hartung, H. -P., Hellwig, K., Hillert, J., Imitola, J., Kalincik, T., Kappos, L., Khoury, S., Kim, H. J., Havrdova, E. K., Liblau, R., Lycke, J., Montalban, X., Muraro, P., Reingold, S., Schmierer, K., Sellebjerg, F., Sorensen, P. S., Solari, A., Sormani, M. P., Thompson, A., Trapp, B., Tremlett, H., Trojano, M., Tur, C., Uccelli, A., van Pesch, V., and Waubant, E.

Subjects
Aggressive, medicine.medical_specialty, Treatment response, relapsing–remitting, Disease, Permanent disability, multiple sclerosis, disability, highly active, treatment response, Multiple sclerosis, 03 medical and health sciences, 0302 clinical medicine, 2018 ECTRIMS Focused Workshop Group, medicine, Relapsing-remitting, 030212 general & internal medicine, Intensive care medicine, Highly active, Therapeutic window, Neurology & Neurosurgery, Disability, business.industry, 1103 Clinical Sciences, medicine.disease, ddc, Natural history, Neurology, Relapsing remitting, Neurology (clinical), business, 1109 Neurosciences, 030217 neurology & neurosurgery, Meeting Reviews
Abstract

Altres ajuts: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The workshop on which the manuscript is based was supported in its entirety by the European Committee on Treatment and Research in Multiple Sclerosis (ECTRIMS). The natural history of multiple sclerosis (MS) is highly heterogeneous. A subgroup of patients has what might be termed aggressive MS. These patients may have frequent, severe relapses with incomplete recovery and are at risk of developing greater and permanent disability at the earlier stages of the disease. Their therapeutic window of opportunity may be narrow, and while it is generally considered that they will benefit from starting early with a highly efficacious treatment, a unified definition of aggressive MS does not exist and data on its treatment are largely lacking. Based on discussions at an international focused workshop sponsored by the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), we review our current knowledge about treatment of individuals with aggressive MS. We analyse the available evidence, identify gaps in knowledge and suggest future research needed to fill those gaps. A companion paper details the difficulties in developing a consensus about what defines aggressive MS.

Published
2020

43. A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity (vol 138, pg 237, 2019)

Author

van der Lee, SJ, Conway, OJ, Jansen, I, Carrasquillo, MM, Kleineidam, L, van den Akker, E, Hernandez, I, van Eijk, KR, Stringa, N, Chen, JSA, Zettergren, A, Andlauer, TFM, Diez-Fairen, M, Simon-Sanchez, J, Lleo, A, Zetterberg, H, Nygaard, M, Blauwendraat, C, Savage, JE, Mengel-From, J, Moreno-Grau, S, Wagner, M, Fortea, J, Keogh, MJ, Blennow, K, Skoog, I, Friese, MA, Pletnikova, O, Zulaica, M, Lage, C, de Rojas, I, Riedel-Heller, S, Illan-Gala, I, Wei, W, Jeune, B, Orellana, A, Bergh, FT, Wang, X, Hulsman, M, Beker, N, Tesi, N, Morris, CM, Indakoetxea, B, Collij, LE, Scherer, M, Morenas-Rodriguez, E, Ironside, JW, van Berckel, BNM, Alcolea, D, Wiendl, H, Strickland, SL, Pastor, P, Rodriguez, ER, Boeve, BF, Petersen, RC, Ferman, TJ, van Gerpen, JA, Reinders, MJT, Uitti, RJ, Tarraga, L, Maier, W, Dols-Icardo, O, Kawalia, A, Dalmasso, MC, Boada, M, Zettl, UK, van Schoor, NM, Beekman, M, Allen, M, Masliah, E, de Munain, AL, Pantelyat, A, Wszolek, ZK, Ross, OA, Dickson, DW, Graff-Radford, NR, Knopman, D, Rademakers, R, Lemstra, AW, Pijnenburg, YAL, Scheltens, P, Gasser, T, Chinnery, PF, Hemmer, B, Huisman, MA, Troncoso, J, Moreno, F, Nohr, EA, Sorensen, TIA, Heutink, P, Sanchez-Juan, P, Posthuma, D, Clarim?on, J, Christensen, K, Ertekin-Taner, N, Scholz, SW, Ramirez, A, Ruiz, A, Slagboom, E, van der Flier, WM, and Holstege, H

Subjects
education
Abstract

The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.

Published
2020

44. Aggressive multiple sclerosis (1) : Towards a definition of the phenotype

Author

Iacobaeus, E., Arrambide, G., Amato, M. P., Derfuss, T., Vukusic, S., Hemmer, B., Tintore, M., Brundin, L., Berger, J., Boyko, A., Brinar, V., Brownlee, W., Ciccarelli, O., Coles, A., Correale, J., Cutter, G., Edan, G., Evangelou, N., Fernandez, O., Frederiksen, J., Gold, R., Hacohen, Y., Hartung, H. -P., Hellwig, K., Hillert, J., Imitola, J., Kalincik, T., Kappos, L., Khoury, S., Kim, H. J., Havrdova, E. K., Liblau, R., Lycke, J., Montalban, X., Muraro, P., Reingold, S., Schmierer, K., Sellebjerg, F., Sorensen, P. S., Solari, A., Sormani, M. P., Thompson, A., Trapp, B., Tremlett, H., Trojano, M., Tur, C., Uccelli, A., van Pesch, V., Waubant, E., UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, and UCL - (SLuc) Service de neurologie

Subjects
Disease subtype, Aggressive, medicine.medical_specialty, Severe disease, Aggressive disease, multiple sclerosis, Relapsing/remitting, Multiple sclerosis, 03 medical and health sciences, 0302 clinical medicine, disability, highly active, observational studies, relapsing/remitting, 2018 ECTRIMS Focused Workshop Group, medicine, Intensive care medicine, Secondary progressive, Highly active, Observational studies, 030304 developmental biology, 0303 health sciences, Neurology & Neurosurgery, Disability, business.industry, 1103 Clinical Sciences, medicine.disease, Phenotype, Additional research, ddc, Neurology, Observational study, Neurology (clinical), 1109 Neurosciences, business, 030217 neurology & neurosurgery, Meeting Reviews
Abstract

Altres ajuts: The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: The workshop on which the manuscript is based was supported in its entirety by the European Committee on Treatment and Research in Multiple Sclerosis (ECTRIMS). While the major phenotypes of multiple sclerosis (MS) and relapsing-remitting, primary and secondary progressive MS have been well characterized, a subgroup of patients with an active, aggressive disease course and rapid disability accumulation remains difficult to define and there is no consensus about their management and treatment. The current lack of an accepted definition and treatment guidelines for aggressive MS triggered a 2018 focused workshop of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) on aggressive MS. The aim of the workshop was to discuss approaches on how to describe and define the disease phenotype and its treatments. Unfortunately, it was not possible to come to consensus on a definition because of unavailable data correlating severe disease with imaging and molecular biomarkers. However, the workshop highlighted the need for future research needed to define this disease subtype while also focusing on its treatment and management. Here, we review previous attempts to define aggressive MS and present characteristics that might, with additional research, eventually help characterize it. A companion paper summarizes data regarding treatment and management.

Published
2020

45. Aggressive multiple sclerosis (2): Treatment.

Author

Arrambide, G, Iacobaeus, E, Amato, MP, Derfuss, T, Vukusic, S, Hemmer, B, Brundin, L, Tintore, M, 2018 ECTRIMS Focused Workshop Group, Arrambide, G, Iacobaeus, E, Amato, MP, Derfuss, T, Vukusic, S, Hemmer, B, Brundin, L, Tintore, M, and 2018 ECTRIMS Focused Workshop Group

Abstract

The natural history of multiple sclerosis (MS) is highly heterogeneous. A subgroup of patients has what might be termed aggressive MS. These patients may have frequent, severe relapses with incomplete recovery and are at risk of developing greater and permanent disability at the earlier stages of the disease. Their therapeutic window of opportunity may be narrow, and while it is generally considered that they will benefit from starting early with a highly efficacious treatment, a unified definition of aggressive MS does not exist and data on its treatment are largely lacking. Based on discussions at an international focused workshop sponsored by the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), we review our current knowledge about treatment of individuals with aggressive MS. We analyse the available evidence, identify gaps in knowledge and suggest future research needed to fill those gaps. A companion paper details the difficulties in developing a consensus about what defines aggressive MS.

Published
2020

46. Aggressive multiple sclerosis (1): Towards a definition of the phenotype.

Author

Iacobaeus, E, Arrambide, G, Amato, MP, Derfuss, T, Vukusic, S, Hemmer, B, Tintore, M, Brundin, L, 2018 ECTRIMS Focused Workshop Group, Iacobaeus, E, Arrambide, G, Amato, MP, Derfuss, T, Vukusic, S, Hemmer, B, Tintore, M, Brundin, L, and 2018 ECTRIMS Focused Workshop Group

Abstract

While the major phenotypes of multiple sclerosis (MS) and relapsing-remitting, primary and secondary progressive MS have been well characterized, a subgroup of patients with an active, aggressive disease course and rapid disability accumulation remains difficult to define and there is no consensus about their management and treatment. The current lack of an accepted definition and treatment guidelines for aggressive MS triggered a 2018 focused workshop of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) on aggressive MS. The aim of the workshop was to discuss approaches on how to describe and define the disease phenotype and its treatments. Unfortunately, it was not possible to come to consensus on a definition because of unavailable data correlating severe disease with imaging and molecular biomarkers. However, the workshop highlighted the need for future research needed to define this disease subtype while also focusing on its treatment and management. Here, we review previous attempts to define aggressive MS and present characteristics that might, with additional research, eventually help characterize it. A companion paper summarizes data regarding treatment and management.

Published
2020

50. Diagnosis and Management of Neuromyelitis Optica

Author

Sellner, J., primary, Boggild, M., additional, Clanet, M., additional, Hintzen, R. Q., additional, Illes, Z., additional, Montalban, X., additional, Du Pasquier, R. A., additional, Polman, C. H., additional, Soelberg Sørensen, P., additional, and Hemmer, B., additional

Published
2011
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