The evolution of "No Evidence of Disease Activity" in multiple sclerosis

被引:46
作者
Lu, G. [1 ,2 ]
Beadnall, H. N. [3 ,4 ]
Barton, J. [3 ]
Hardy, T. A. [3 ,5 ]
Wang, C. [3 ,6 ]
Barnett, M. H. [3 ,4 ,6 ]
机构
[1] Univ Sydney, Sydney, NSW, Australia
[2] St Vincents Hosp Sydney, Darlinghurst, NSW, Australia
[3] Univ Sydney, Brain & Mind Ctr, Sydney, NSW, Australia
[4] Royal Prince Alfred Hosp, Neurol Dept, Camperdown, NSW, Australia
[5] Univ Sydney, Concord Hosp, Neuroimmunol Clin, Sydney, NSW, Australia
[6] Sydney Neuroimaging Anal Ctr, Sydney, NSW, Australia
关键词
No evidence of disease activity; NEDA; Multiple sclerosis; Magnetic resonance imaging; DISABILITY STATUS SCALE; GRAY-MATTER ATROPHY; APPEARING WHITE-MATTER; BRAIN VOLUME LOSS; FOLLOW-UP; INTERFERON-BETA; DOUBLE-BLIND; RHEUMATOID-ARTHRITIS; TREATMENT RESPONSE; CONTROLLED-TRIAL;
D O I
10.1016/j.msard.2017.12.016
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The availability of effective therapies for patients with relapsing-remitting multiple sclerosis (RRMS) has prompted a re-evaluation of the most appropriate way to measure treatment response, both in clinical trials and clinical practice. Traditional parameters of treatment efficacy such as annualized relapse rate, magnetic resonance imaging (MRI) activity, and disability progression have an important place, but their relative merit is uncertain, and the role of other factors such as brain atrophy is still under study. More recently, composite measures such as "no evidence of disease activity" (NEDA) have emerged as new potential treatment targets, but NEDA itself has variable definitions, is not well validated, and may be hard to implement as a treatment goal in a clinical setting. We describe the development of NEDA as an outcome measure in MS, discuss definitions including NEDA-3 and NEDA-4, and review the strengths and limitations of NEDA, indicating where further research is needed.
引用
收藏
页码:231 / 238
页数:8
相关论文
共 111 条
  • [21] Establishing pathological cut-offs of brain atrophy rates in multiple sclerosis
    De Stefano, Nicola
    Stromillo, Maria Laura
    Giorgio, Antonio
    Bartolozzi, Maria Letizia
    Battaglini, Marco
    Baldini, Mariella
    Portaccio, Emilio
    Amato, Maria Pia
    Sormani, Maria Pia
    [J]. JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2016, 87 (01) : 93 - 99
  • [22] Clinical Relevance of Brain Volume Measures in Multiple Sclerosis
    De Stefano, Nicola
    Airas, Laura
    Grigoriadis, Nikolaos
    Mattle, Heinrich P.
    O'Riordan, Jonathan
    Oreja-Guevara, Celia
    Sellebjerg, Finn
    Stankoff, Bruno
    Walczak, Agata
    Wiendl, Heinz
    Kieseier, Bernd C.
    [J]. CNS DRUGS, 2014, 28 (02) : 147 - 156
  • [23] MRI predictors of cognitive outcome in early multiple sclerosis
    Deloire, M. S. A.
    Ruet, A.
    Hamel, D.
    Bonnet, M.
    Dousset, V.
    Brochet, B.
    [J]. NEUROLOGY, 2011, 76 (13) : 1161 - 1167
  • [24] Assessing treatment response to interferon-β Is there a role for MRI?
    Dobson, Ruth
    Rudick, Richard A.
    Turner, Ben
    Schmierer, Klaus
    Giovannoni, Gavin
    [J]. NEUROLOGY, 2014, 82 (03) : 248 - 254
  • [25] DUQUETTE P, 1995, NEUROLOGY, V45, P1277
  • [26] Improved longitudinal gray and white matter atrophy assessment via application of a 4-dimensional hidden Markov random field model
    Dwyer, Michael G.
    Bergsland, Niels
    Zivadinov, Robert
    [J]. NEUROIMAGE, 2014, 90 : 207 - 217
  • [27] Risk factors for progression of brain atrophy in aging - Six-year follow-up of normal subjects
    Enzinger, C
    Fazekas, F
    Matthews, PM
    Ropele, S
    Schmidt, H
    Smith, S
    Schmidt, R
    [J]. NEUROLOGY, 2005, 64 (10) : 1704 - 1711
  • [28] Evangelou N, 2000, ANN NEUROL, V47, P391, DOI 10.1002/1531-8249(200003)47:3<391::AID-ANA20>3.3.CO
  • [29] 2-A
  • [30] Size-selective neuronal changes in the anterior optic pathways suggest a differential susceptibility to injury in multiple sclerosis
    Evangelou, N
    Konz, D
    Esiri, MM
    Smith, S
    Palace, J
    Matthews, PM
    [J]. BRAIN, 2001, 124 : 1813 - 1820