Search

Your search keyword '"Song, Y. W."' showing total 353 results
Start Over Author "Song, Y. W."
353 results on '"Song, Y. W."'

6. Association between age at disease onset of anti-neutrophil cytoplasmic antibody-associated vasculitis and clinical presentation and short-term outcomes

Author

Monti, S., Craven, A., Klersy, C., Montecucco, C., Caporali, R., Watts, R., Merkel, P. A., Luqmani, R., Achilleos, K., Adler, M., Alba, M. A., Albert, D. A., Alibaz-Oner, F., Allcoat, P., Amano, K., Amarasuriya, M., Amudala, N. A., Andrews, J., Archer, A. M., Arimura, Y., Atukorala, I., Azevedo, E., Bajad, S., Baldwin, C., Barra, L. J., Baslund, B., Basu, N., Baykal, M., Berger, C., Berglin, E., Besada, E., Bhardwaj, M., Bischof, A., Blockmans, D., Blood, J., Draibe, J. B., Brand, S., Brandao, M., Bruce, I. N., Butler, A., Calabrese, L. H., Ferrer, D. C., Carette, S., Carmona, D., Ceunen, H., Chakravarty, K., Chapman, P. T., Chocova, Z., Chung, S. A., Ci, W., Cid, M. C., Clark, T. M., Clarkson, M. R., De Jesus Contreras-Rodriguez, F., Conway, R., Cooke, K., Viros, X. C., Cordeiro, A., Costa, A., Culfear, K., Daikeler, T., Danda, D., Das, S. K., Dasgupta, B., De Castro, A. M., Dehghan, N., Devassy, R., Dhindsa, N., Diamantopoulos, A. P., Direskeneli, H., Dobashi, H., Juan, D., Durrani, M., Edelsten, C., Eifert, J., Elhayek, S., Elsideeg, S., Endo, T., Erden, A., Erer, B., Eriksson, P., Erturk, Z., Espigol-Frigole, G., Felicetti, M., Ferraro, A., Ferro, J. M., Fifi-Mah, A., Flores-Suarez, L. F., Flossmann, O., Flynn, D., Fonseca, J. E., Foot, J., Foote, M., Forbess, L., Fujimoto, S., Fukuoka, K., Furtado, C., Furuta, S., Gaffo, A. L., Gallagher, P., Gao, N., Gatenby, P., Gendi, N., Geraldes, R., Gerits, A., Gioffredi, A., Gomples, L., Goncalves, M. J., Gondo, P., Graham, A., Grainger, R., Gray, D. T., Grayson, P. C., Griffiths, L., Guo, Y., Gupta, R., Gylling, M., Hajj-Ali, R. A., Hammam, N., Harigai, M., Hartley, L., Haslett, J., Hassan, A., Hatemi, G., Hellmich, B., Henckaerts, L., Henes, J. C., Hepburn, J., Herd, V., Hess, C., Hill, C., Hinojosa-Azaola, A., Hirahashi, J., Hirano, F., Hocevar, A., Holle, J., Hollinger, N., Homma, S., Howard, T., Hoyles, R. K., Hruskova, Z., Hutcheon, G., Ignacak, M., Igney-Oertel, A., Ikeda, K., Ikegaya, N., Jagadeesh, S., Jaquith, J., Jayne, D. R. W., Jewell, T., Jones, C., Joshi, A., Kalyoncu, U., Kamall, S., Kamath, S., Lai, K. S., Kaname, S., Kanchinadham, S., Karadag, O., Karube, M., Kaszuba, M., Kaur, R., Kawakami, T., Kawashima, S., Khalidi, N., Khan, A., Kikuchi, M., Kilic, L., Kimura, M., King, M. J., Klapa, S., Klocke, R., Kobayashi, T., Kobayashi, S., Komagata, Y., Kronbichler, A., Kuczia, P., Kumar, M. S., Kurosawa, M., Lamprecht, P., Langford, C. A., Lanyon, P., Laversuch, C., Lee, S. J., Leoni, S., Li, J., Liang, K., Liang, P., Liao, H., Lee, L. A., Luqmani, R. A., Lyle, A., Macdonald, M., Mackie, S. L., Madden, L., Magliano, M., Makino, H., Makol, A., Malaiya, R., Malaviya, A., Manthri, R., Maritati, F., Da Silva, A. M., Mason, J. C., Matara, C., Matsui, K., Matteson, E. L., Mcbride, D., Mccullough, K., Mcgeoch, L., Mclaren, J., Mcmillian, C., Mendiratta, N., Menon, A., Merinopoulos, D., Merkel, P., Messier, S., Micheletti, R. G., Mills, K., Milman, N., Minoda, M., Minz, R. W., Mock, C., Mohammad, A. J., Moiseev, S., Moitinho, M., Molloy, E., Monach, P. A., Montgomery, M., Moosig, F., Moradizadeh, M., Morgan, M., Morgan, A. W., Morgan, A. -M., Muir, A., Mukhtyar, C., Muller, A., Muratore, F., Muso, E., Nada, R., Nakajima, H., Nakajima, T., Nakano, H., Nandagudi, A., Neumann, T., Y. F., Ng, K. H., Ng, Nogueira, E. L., Nolkha, N., Nordstrom, D., Novikov, P., Nugaliyadde, A., O'Donnell, J. L., O'Donoghue, J., O'Neill, L., O'Riordan, E., Oatley, M., Okubo, K., Oliva, E., Oshikawa, H., Ota, Y., Padoan, R., Pagnoux, C., Pan, L., Panaritis, K., Park, J. K., Patel, S., Patil, P., Pazzola, G., Peall, A., Pearce, F., Pehlevan, S., Pereira, L., Pettersson, T., Pineau, C. A., Pirila, L., Poglodek, B., Ponte, C., Prieto-Gonzalez, S., Priya, S. R., Purewal, B., Purschke, S., Putaala, J., Quickert, S., Quincey, V., Raghuvanshi, S., Rajasekhar, L., Ranganathan, D., Rathi, M., Rees, D., Rees, F., Renken, U., Restuccia, G., Rhee, R. L., Rice, B., Robins, D., Robson, J., Rodrigues, M., Romao, V. C., Rotar, C., Ruediger, C., Rutgers, A., A. C., Sa, Saavedra, M. J., Sada, K. -E., Sahbudin, I., Salvarani, C., Sandhu, N., Santos, E., Sato, Y., Schafer, V. S., Schiavon, F., Schmidt, W. A., Segelmark, M., Shahin, A., Sharma, A., Shotton, J., Silva, C., Singer, O. G., Sivasuthan, G., Smolen, S., Solanich-Moreno, X., Boixader, L. S., Song, Y. W., Springer, J., Sreih, A. G., Srivastava, R., Stamp, L. K., Stevens, R., Strbian, D., Sugino, K., Sunderkotter, C., Suppiah, R., Suzuki, K., Szekanecz, Z., Sznajd, J., Taimen, K., Tak, P. P., Takeuchi, T., Takizawa, N., Tames, L., Tan, B. E., Tanaka, M., Tang, M. W., Tatlisumak, T., Tesar, V., Thomas, A., Tian, X., Tokunaga, K., Tombetti, E., Tomsic, M., Toz, B., Tsukamoto, T., Uchida, S., Unal, A. U., Urban, M. L., Usui, J., Vaglio, A., Venkatachalam, S., Vermaak, E., Viswanath, V., Wada, T., Wagh, S., Wallace, D. J., Walters, G., Walz, B., Wan, J., Wang, T., Wang, G., Warrington, K. J., Watts, R. A., Wawrzycka-Adamczyk, K., Weeratunga, P., Weisman, M. H., Wickramasinghe, S., Williams, M., Wojcik, K., Woodruff, L., Xenitidis, T., Yamada, H., Yamagata, K., Yee, C. -S., Yoon, M., Yoshida, K., Yoshifuji, H., Ytterberg, S. R., Yumura, W., Zayed, H., Zeng, X., Zhao, M. -H., Zugaj, A., Zuk, J., İç Hastalıkları, Clinical Haematology, and Translational Immunology Groningen (TRIGR)

Subjects
Male, Outcome, Antineutrophil Cytoplasmic, 030232 urology & nephrology, 0302 clinical medicine, Risk Factors, 80 and over, Pharmacology (medical), Age of Onset, Young adult, Aged, 80 and over, education.field_of_study, age, anti-neutrophil cytoplasmic antibody-associated vasculitis, outcome, Adolescent, Adult, Aged, Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis, Antibodies, Antineutrophil Cytoplasmic, Female, Humans, Middle Aged, Morbidity, Prognosis, Retrospective Studies, Risk Assessment, Survival Rate, United Kingdom, Young Adult, Vasculitis, Systemic vasculitis, medicine.medical_specialty, Population, anti-neutrophil cytoplasmic antibody–associated vasculitis, Antibodies, 03 medical and health sciences, Rheumatology, Internal medicine, medicine, education, Anti-neutrophil cytoplasmic antibody–associated vasculitis, Survival rate, Anti-neutrophil cytoplasmic antibody, 030203 arthritis & rheumatology, business.industry, Retrospective cohort study, medicine.disease, Age of onset, business
Abstract

Objectives ANCA-associated vasculitis (AAV) can affect all age groups. We aimed to show that differences in disease presentation and 6 month outcome between younger- and older-onset patients are still incompletely understood. Methods We included patients enrolled in the Diagnostic and Classification Criteria for Primary Systemic Vasculitis (DCVAS) study between October 2010 and January 2017 with a diagnosis of AAV. We divided the population according to age at diagnosis: Results A total of 1338 patients with AAV were included: 66% had disease onset at Conclusion Within 6 months of diagnosis of AAV, patients >65 years of age display a different pattern of organ involvement and an increased risk of significant damage and mortality compared with younger patients.

Published
2021
Full Text
View/download PDF

9. 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology Classification Criteria for Eosinophilic Granulomatosis With Polyangiitis

Author

Grayson, P. C., Ponte, C., Suppiah, R., Robson, J. C., Craven, A., Judge, A., Khalid, S., Hutchings, A., Luqmani, R. A., Watts, R. A., Merkel, P. A., Gatenby, P., Hill, C., Ranganathan, D., Kronbichler, A., Blockmans, D., Barra, L., Carette, S., Pagnoux, C., Dhindsa, N., Fifi-Mah, A., Khalidi, N., Liang, P., Milman, N., Pineau, C., Tian, X., Wang, G., Wang, T., Zhao, M. -H., Tesar, V., Baslund, B., Hammam, N., Shahin, A., Pirila, L., Putaala, J., Hellmich, B., Henes, J., Lamprecht, P., Neumann, T., Schmidt, W., Sunderkoetter, C., Szekanecz, Z., Danda, D., Das, S., Gupta, R., Rajasekhar, L., Sharma, A., Wagh, S., Clarkson, M., Molloy, E., Salvarani, C., Schiavon, F., Tombetti, E., Vaglio, A., Amano, K., Arimura, Y., Dobashi, H., Fujimoto, S., Harigai, M., Hirano, F., Hirahashi, J., Honma, S., Kawakami, T., Kobayashi, S., Kono, H., Makino, H., Matsui, K., Muso, E., Suzuki, K., Ikeda, K., Takeuchi, T., Tsukamoto, T., Uchida, S., Wada, T., Yamada, H., Yamagata, K., Yumura, W., Lai, K. S., Flores-Suarez, L. F., Hinojosa, A., Rutgers, B., Tak, P. -P., Grainger, R., Quincey, V., Stamp, L., Besada, E., Diamantopoulos, A., Sznajd, J., Azevedo, E., Geraldes, R., Rodrigues, M., Santos, E., Song, Y. -W., Moiseev, S., Hocevar, A., Cid, M. C., Moreno, X. S., Atukorala, I., Berglin, E., Mohammed, A., Segelmark, M., Daikeler, T., Direskeneli, H., Hatemi, G., Kamali, S., Karadag, O., Pehlevan, S., Adler, M., Basu, N., Bruce, I., Chakravarty, K., Dasgupta, B., Flossmann, O., Gendi, N., Hassan, A., Hoyles, R., Jayne, D., Jones, C., Klocke, R., Lanyon, P., Laversuch, C., Luqmani, R., Robson, J., Magliano, M., Mason, J., Maw, W. W., Mcinnes, I., Mclaren, J., Morgan, M., Morgan, A., Mukhtyar, C., O'Riordan, E., Patel, S., Peall, A., Venkatachalam, S., Vermaak, E., Menon, A., Watts, R., Yee, C. -S., Albert, D., Calabrese, L., Chung, S., Forbess, L., Gaffo, A., Gewurz-Singer, O., Grayson, P., Liang, K., Matteson, E., Springer, J., Sreih, A., and Translational Immunology Groningen (TRIGR)

Subjects
Adult, Male, Vasculitis, Myeloblastin, Immunology, Churg-Strauss Syndrome, Sensitivity and Specificity, General Biochemistry, Genetics and Molecular Biology, Antibodies, Antineutrophil Cytoplasmic, Diagnosis, Differential, Rheumatology, Risk Factors, Humans, Immunology and Allergy, anti-neutrophil cytoplasm antibody, Prospective Studies, Aged, Granulomatosis with Polyangiitis, Reproducibility of Results, Middle Aged, United States, Female, eosinophilic granulomatosis with polyangiitis, Eosinophilic Granuloma, Europe, classification, Societies
Abstract

ObjectiveTo develop and validate revised classification criteria for eosinophilic granulomatosis with polyangiitis (EGPA).MethodsPatients with vasculitis or comparator diseases were recruited into an international cohort. The study proceeded in five phases: (1) identification of candidate criteria items using consensus methodology, (2) prospective collection of candidate items present at the time of diagnosis, (3) data-driven reduction of the number of candidate items, (4) expert panel review of cases to define the reference diagnosis and (5) derivation of a points-based risk score for disease classification in a development set using least absolute shrinkage and selection operator logistic regression, with subsequent validation of performance characteristics in an independent set of cases and comparators.ResultsThe development set for EGPA consisted of 107 cases of EGPA and 450 comparators. The validation set consisted of an additional 119 cases of EGPA and 437 comparators. From 91 candidate items, regression analysis identified 11 items for EPGA, 7 of which were retained. The final criteria and their weights were as follows: maximum eosinophil count ≥1×109/L (+5), obstructive airway disease (+3), nasal polyps (+3), cytoplasmic antineutrophil cytoplasmic antibody (ANCA) or anti-proteinase 3–ANCA positivity (−3), extravascular eosinophilic predominant inflammation (+2), mononeuritis multiplex/motor neuropathy not due to radiculopathy (+1) and haematuria (−1). After excluding mimics of vasculitis, a patient with a diagnosis of small- or medium-vessel vasculitis could be classified as having EGPA if the cumulative score was ≥6 points. When these criteria were tested in the validation data set, the sensitivity was 85% (95% CI 77% to 91%) and the specificity was 99% (95% CI 98% to 100%).ConclusionThe 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology Classification Criteria for Eosinophilic Granulomatosis with Polyangiitis demonstrate strong performance characteristics and are validated for use in research.

Published
2022
Full Text
View/download PDF

10. List of Contributors

Author

Ahmadivand, Arash, primary, Bowers, John E., additional, Caironi, Mario, additional, Castro, Francisco, additional, Currie, Marc, additional, Deen, M. Jamal, additional, Dianat, Pouya, additional, Dinu, Nicoleta, additional, Durini, Daniel, additional, El-Batawy, Yasser, additional, Karaagac, Hakan, additional, Karabiyik, Mustafa, additional, Kaya, Serkan, additional, Lo, Guo-Qiang, additional, Mohammedy, Farseem M., additional, Nabet, Bahram, additional, Nagatsuma, Tadao, additional, Natali, Dario, additional, Ombaba, Matthew M., additional, Pala, Nezih, additional, Paschen, Uwe, additional, Piels, Molly, additional, Polat, Kazim G., additional, Saif Islam, M., additional, Schwinger, Alexander, additional, Seddik, Amro Anwar, additional, Song, Y.-W., additional, Spickermann, Andreas, additional, Zhao, Xia, additional, and Zhu, Shiyang, additional

Published
2016
Full Text
View/download PDF

14. Role of MYH9 and APOL1 in African and non-African populations with lupus nephritis

Author

Lin, C P, Adrianto, I, Lessard, C J, Kelly, J A, Kaufman, K M, Guthridge, J M, Freedman, B I, Anaya, J-M, Alarcón-Riquelme, M E, Pons-Estel, B A, Martin, J, Glenn, S, Adler, A, Bae, S-C, Park, S-Y, Bang, S-Y, Song, Y-W, Boackle, S A, Brown, E E, Edberg, J C, Alarcón, G S, Petri, M A, Criswell, L A, Ramsey-Goldman, R, Reveille, J D, Vila, L M, Gilkeson, G S, Kamen, D L, Ziegler, J, Jacob, C O, Rasmussen, A, James, J A, Kimberly, R P, Merrill, J T, Niewold, T B, Scofield, R H, Stevens, A M, Tsao, B P, Vyse, T J, Langefeld, C D, Moser, K L, Harley, J B, Gaffney, P M, and Montgomery, C G

Published
2012
Full Text
View/download PDF

20. Genetic Association of a Gain-of-Function IFNGR1 Polymorphism and the Intergenic Region LNCAROD/DKK1 With Behçet's Disease

Author

Ortiz-Fernández, Lourdes, Coit, Patrick, Yilmaz, Vuslat, Yentür, Sibel P., Alibaz-Oner, Fatma, Aksu, Kenan, Erken, Eren, Düzgün, Nursen, Kese, Gokhan, Cefle, Ayse, Yazici, Ayten, Ergen, Andac, Alpsoy, Erkan, Salvarani, Carlo, Casali, Bruno, Bünyamin, Kısacık, Kötter, Ina, Henes, Jörg, Muhammet, Çınar, Schaefer, Arne, Nohutcu, Rahime M., Zhernakova, Alexandra, Wijmenga, Cisca, Takeuchi, Fujio, Harihara, Shinji, Kaburak, Toshikatsu, Messedi, Meriam, Song, Y. W., Kaşifoğlu, Timuçin, Carmona, F.D., Guthridge, Joel M., James, Judith A., Martín, J., González-Escribano, María Francisca, Saruhan-Direskeneli, Güher, Direskeneli, Haner, Sawalha, Amr H., Ortiz-Fernández, Lourdes, Coit, Patrick, Yilmaz, Vuslat, Yentür, Sibel P., Alibaz-Oner, Fatma, Aksu, Kenan, Erken, Eren, Düzgün, Nursen, Kese, Gokhan, Cefle, Ayse, Yazici, Ayten, Ergen, Andac, Alpsoy, Erkan, Salvarani, Carlo, Casali, Bruno, Bünyamin, Kısacık, Kötter, Ina, Henes, Jörg, Muhammet, Çınar, Schaefer, Arne, Nohutcu, Rahime M., Zhernakova, Alexandra, Wijmenga, Cisca, Takeuchi, Fujio, Harihara, Shinji, Kaburak, Toshikatsu, Messedi, Meriam, Song, Y. W., Kaşifoğlu, Timuçin, Carmona, F.D., Guthridge, Joel M., James, Judith A., Martín, J., González-Escribano, María Francisca, Saruhan-Direskeneli, Güher, Direskeneli, Haner, and Sawalha, Amr H.

Abstract

Objective. Behçet’s disease is a complex systemic inflammatory vasculitis of incompletely understood etiology. This study was undertaken to investigate genetic associations with Behçet’s disease in a diverse multiethnic population.Methods. A total of 9,444 patients and controls from 7 different populations were included in this study. Genotyping was performed using an Infinium ImmunoArray- 24 v.1.0 or v.2.0 BeadChip. Analysis of expression data from stimulated monocytes, and epigenetic and chromatin interaction analyses were performed.Results. We identified 2 novel genetic susceptibility loci for Behçet’s disease, including a risk locus in IFNGR1(rs4896243) (odds ratio [OR] 1.25; P = 2.42 × 10−9) and within the intergenic region LNCAROD/DKK1 (rs1660760) (OR 0.78; P = 2.75 × 10−8). The risk variants in IFNGR1 significantly increased IFNGR1 messenger RNA expression in lipopolysaccharide- stimulated monocytes. In addition, our results replicated the association (P < 5 × 10−8) of 6 previously identified susceptibility loci in Behçet’s disease: IL10, IL23R, IL12A- AS1, CCR3, ADO, and LACC1, reinforcing the notion that these loci are strong genetic factors in Behçet’s disease shared across ancestries. We also identified >30 genetic susceptibility loci with a suggestive level of association (P < 5 × 10−5), which will require replication. Finally, functional annotation of genetic susceptibility loci in Behçet’s disease revealed their possible regulatory roles and suggested potential causal genes and molecular mechanisms that could be further investigated.Conclusion. We performed the largest genetic association study in Behçet’s disease to date. Our findings reveal novel putative functional variants associated with the disease and replicate and extend the genetic associations in other loci across multiple ancestries.

Published
2021

23. Contributor contact details

Author

Yamashita, S., primary, Saito, Y., additional, Choi, J.H., additional, Matsuda, K., additional, Einarsson, E., additional, Maruyama, S., additional, Song, Y.-W., additional, Gaufrès, E., additional, Izard, N., additional, Noury, A., additional, Le Roux, X., additional, Vivien, L., additional, Martinez, A., additional, Yamashita, S., additional, Rotermund, F., additional, Cho, W.B., additional, Mikhailov, S., additional, Chow, K.K., additional, Baker, B.A., additional, Zhang, H., additional, Cha, T.-G., additional, Pan, J., additional, Chen, H., additional, Peng, L.-M., additional, Wang, S., additional, Zhang, Z., additional, Wilkinson, T., additional, Butt, H., additional, Walden-Newman, W., additional, and Strauf, S., additional

Published
2013
Full Text
View/download PDF

45. 2016 ACR-EULAR adult dermatomyositis and polymyositis and juvenile dermatomyositis response criteria—methodological aspects

Author

Rider, L. G., Ruperto, N., Pistorio, A., Erman, B., Bayat, N., Lachenbruc, P. A., Rockette, H., Feldman, B. M., Huber, A. M., Hansen, P., Oddis, C. V., Lundberg, I. E., Amato, A. A., Chinoy, H., Cooper, R. G., Chung, L., Danko, K., Fiorentino, D., De la Torre, I. G., Reed, A. M., Song, Y. W., Cimaz, R., Cuttica, R. J., Pilkington, C. A., Martini, A., van der Net, J., Maillard, S., Miller, F. W., Vencovsky, J., Aggarwal, R., Christopher-Stine, L., Criscione-Schreiber, L., Crofford, L., Cronin, M. E., Gordon, P., Hengstman, G., Katz, J. D., Mammen, A., Marder, G., Mchugh, N., Schiopu, E., Wolfe, G., Wortmann, R., Apaz, M., Bowyer, S., Constantin, T., Curran, M., Davidson, J., Griffin, T., Jones, O., Kim, S., Lang, B., Lindsley, C., Lovell, D., Magalhaes, C. S., Pachman, L. M., Ponyi, A., Punaro, M., Quartier, P., Ramanan, A. V., Ravelli, A., Rennebohm, R., Van Royen-Kerkhof, A., Sherry, D. D., Silva, C. A., Stringer, E., Wallace, C., Ascherman, D., Barohn, R., Benveniste, O., De Bleecker, J., Callen, J., Charles-Schoeman, C., Danoff, S., Dastmalchi, M., Dimachkie, M., Di Martino, S., Dourmishev, L., Ernste, F., Gono, T., Isenberg, D., Katsumata, Y., Kissel, J., Leff, R. L., Levine, T., Mann, H., Marie, I., Merola, J., Olesinska, M., Olsen, N., Pipitone, N., Ramchandren, S., Rutkove, S., Saketkoo, L. A., Schiffenbauer, A., Selva-O'Callaghan, A., Shinjo, S. K., Shupak, R., Swierkocka, K., de Visser, M., Wanschitz, J., Werth, V. P., Whitt, I., Ytterberg, S., Avcin, T., Becker, M., Beresford, M. W., Dressler, F., Dvergsten, J., Ferriani, V. P. L., Flato, B., Gerloni, V., Henrickson, M., Hinze, C., Hoeltzel, M., BUNES IBARRA, MIGUEL ANGEL, Ilowite, N., Imundo, L., Kingsbury, D., Magnusson, B., Maguiness, S., Mathiesen, P., Mccann, L., Nielsen, S., de Oliveira, S. K. F., Passo, M., Rabinovich, E., Rivas-Chacon, R., Robinson, A. B., Rouster-Stevens, K., Russo, R., Rutkowska-Sak, L., Sallum, A., Sanner, H., Schmeling, H., Selcen, D., Shaham, B., Spencer, C. H., Sundel, R., Tardieu, M., Thatayatikom, A., Wahezi, D., and Zulian, F.

Subjects
medicine.medical_specialty, dermatomyositis, Hybrid measure, 1000Minds software, Minimal Clinically Important Difference, response criteria, Klinikai orvostudományok, Logistic regression, Polymyositis, Dermatomyositis, polymyositis, 03 medical and health sciences, 0302 clinical medicine, Rheumatology, Response criteria, medicine, Humans, Pharmacology (medical), Conjoint analysis, outcome assessment, Juvenile dermatomyositis, Myositis, 030203 arthritis & rheumatology, hybrid measure, juvenile dermatomyositis, business.industry, Minimal clinically important difference, Outcome assessment, Area Under Curve, Logistic Models, Treatment Outcome, Orvostudományok, Clinical Science, medicine.disease, Adult dermatomyositis, Clinical trial, Physical therapy, conjoint analysis, business, 030217 neurology & neurosurgery
Abstract

Objective: The objective was to describe the methodology used to develop new response criteria for adult DM/PM and JDM.Methods: Patient profiles from prospective natural history data and clinical trials were rated by myositis specialists to develop consensus gold-standard ratings of minimal, moderate and major improvement. Experts completed a survey regarding clinically meaningful improvement in the core set measures (CSM) and a conjoint-analysis survey (using 1000Minds software) to derive relative weights of CSM and candidate definitions. Six types of candidate definitions for response criteria were derived using survey results, logistic regression, conjoint analysis, application of conjoint-analysis weights to CSM and published definitions. Sensitivity, specificity and area under the curve were defined for candidate criteria using consensus patient profile data, and selected definitions were validated using clinical trial data.Results: Myositis specialists defined the degree of clinically meaningful improvement in CSM for minimal, moderate and major improvement. The conjoint-analysis survey established the relative weights of CSM, with muscle strength and Physician Global Activity as most important. Many candidate definitions showed excellent sensitivity, specificity and area under the curve in the consensus profiles. Trial validation showed that a number of candidate criteria differentiated between treatment groups. Top candidate criteria definitions were presented at the consensus conference.Conclusion: Consensus methodology, with definitions tested on patient profiles and validated using clinical trials, led to 18 definitions for adult PM/DM and 14 for JDM as excellent candidates for consideration in the final consensus on new response criteria for myositis.

Published
2017
Full Text
View/download PDF

46. Dispersion Management

Author

Willner, A.E., primary, Song, Y.-W., additional, McGeehan, J., additional, Pan, Z., additional, and Hoanca, B., additional

Published
2005
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results