Uncovering heterogeneous cognitive trajectories in relapsing-remitting multiple sclerosis: a longitudinal study

被引:0
作者
London, Frederic [1 ,4 ]
De Haan, Alice [2 ]
Benyahia, Zohra [2 ]
Landenne, Gaetane [2 ]
Duprez, Thierry [3 ]
van Pesch, Vincent [2 ]
El Sankari, Souraya [2 ]
机构
[1] Univ Catholique Louvain UCLouvain, Dept Neurol, CHU UCL Namur Site Godinne, Yvoir, Belgium
[2] Univ Catholique Louvain UCLouvain, Dept Neurol, Clin Univ St Luc, Brussels, Belgium
[3] Univ Catholique Louvain UCLouvain, Dept Radiol, Clin Univ St Luc, Brussels, Belgium
[4] CHU UCL Namur, Dept Neurol, 1 Ave G Therasse, B-5530 Yvoir, Belgium
关键词
DECLINE; MRI; RESERVE; DYSFUNCTION; IMPAIRMENT; VALIDATION; PREDICTORS;
D O I
10.1007/s13760-025-02754-7
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BackgroundCognitive impairment (CI) frequently occurs in relapsing-remitting multiple sclerosis (RRMS) and is assumed to be irreversible. Recent longitudinal studies highlighted the heterogeneity of CI in RRMS, challenging the traditional view of inevitable progression. Longitudinal studies exploring the baseline determinants of future cognitive decline are limited, and none yet explored the predictive value of patient-reported outcome measures (PROMs).ObjectiveTo explore the evolutionary patterns of cognitive status in a cohort of RRMS patients initiating a new disease modifying treatment, and to determine whether PROMs may have a predictive value for future cognitive decline.MethodsThis prospective study is a 36-month follow-up of 59 RRMS patients who underwent yearly a comprehensive, multiparametric assessment combining clinical, neuropsychological, MRI-derived metrics and a set of self-reported questionnaires. Lesion load and brain volumes were analyzed and processed by the automated MSmetrix (R) software (Icometrix (R), Leuven, Belgium). A longitudinal logistic regression analysis was performed to investigate baseline predictors of future cognitive decline.ResultsA total of 33 (56%) and 17 (35%) patients were defined as cognitively impaired at baseline and at the end of the study, respectively. Of these 33 patients, 20 showed either improvement and/or impairment in fewer cognitive domains at 36-month follow-up. Baseline physical disability as measured by EDSS was the best predictor for future cognitive decline (OR: 2.17; p = 0.03, 95% confidence interval = 1.07-4.38). None of the PROMs variables contributed to predict further cognitive decline.ConclusionsOur findings highlight the importance of considering the evolution of CI in MS as a dynamic phenomenon with a substantial heterogeneity.
引用
收藏
页码:519 / 530
页数:12
相关论文
共 50 条
  • [41] Thalamic-hippocampal-prefrontal disruption in relapsing-remitting multiple sclerosis
    Kern, Kyle C.
    Gold, Stefan M.
    Lee, Brian
    Montag, Michael
    Horsfall, Jessica
    O'Connor, Mary-Frances
    Sicotte, Nancy L.
    NEUROIMAGE-CLINICAL, 2015, 8 : 440 - 447
  • [42] Skeletonized mean diffusivity and neuropsychological performance in relapsing-remitting multiple sclerosis
    Chylinska, Magdalena
    Karaszewski, Bartosz
    Komendzinski, Jakub
    Wyszomirski, Adam
    Sabisz, Agnieszka
    Halas, Marek
    Szurowska, Edyta
    BRAIN AND BEHAVIOR, 2022, 12 (06):
  • [43] Olfactory identification associates with cognitive function and the third ventricle width in patients with relapsing-remitting multiple sclerosis
    Okada, Kazumasa
    Kakeda, Shingo
    Tahara, Masayuki
    MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2020, 38
  • [44] MR imaging and cognitive correlates of relapsing-remitting multiple sclerosis patients with cerebellar symptoms
    Cerasa, Antonio
    Valentino, Paola
    Chiriaco, Carmelina
    Pirritano, Domenico
    Nistico, Rita
    Gioia, Cecilia M.
    Trotta, Maria
    Del Giudice, Francesco
    Tallarico, Tiziana
    Rocca, Federico
    Augimeri, Antonio
    Bilotti, Giacinta
    Quattrone, Aldo
    JOURNAL OF NEUROLOGY, 2013, 260 (05) : 1358 - 1366
  • [45] The influence of age and illness duration on cognitive impairment in aging patients with relapsing-remitting multiple sclerosis (RR-MS)
    Leclercq, Eugenie
    Cabaret, Maryline
    Guilbert, Alma
    Jougleux, Caroline
    Vermersch, Patrick
    Moroni, Christine
    GERIATRIE ET PSYCHOLOGIE NEUROPSYCHIATRIE DE VIEILLISSEMENT, 2014, 12 (03): : 331 - 338
  • [46] Social cognition and Theory of Mind in patients with relapsing-remitting multiple sclerosis
    Banati, M.
    Sandor, J.
    Mike, A.
    Illes, E.
    Bors, L.
    Feldmann, A.
    Herold, R.
    Illes, Z.
    EUROPEAN JOURNAL OF NEUROLOGY, 2010, 17 (03) : 426 - 433
  • [47] Evidence of cognitive compensation associated with educational level in early relapsing-remitting multiple sclerosis
    Bonnet, Melissa C.
    Deloire, Mathilde S. A.
    Salort, Emmanuelle
    Dousset, Vincent
    Petry, Klaus G.
    Brochet, Bruno
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2006, 251 (1-2) : 23 - 28
  • [48] Longitudinal Trajectories of Digital Cognitive Biomarkers for Multiple Sclerosis
    Foong, Yi Chao
    Merlo, Daniel
    Gresle, Melissa
    Zhu, Chao
    Buzzard, Katherine
    Lechner-Scott, Jeannette
    Barnett, Michael
    Wang, Chenyu
    Taylor, Bruce V.
    Kalincik, Tomas
    Kilpatrick, Trevor
    Darby, David
    Dobay, Pamela
    van Beek, Johan
    Hyde, Robert
    Simpson-Yap, Steve
    Butzkueven, Helmut
    van Der Walt, Anneke
    ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, 2025, : 842 - 850
  • [49] Neurofunctional correlates of personality traits in relapsing-remitting multiple sclerosis: An fMRI study
    Gioia, Maria C.
    Cerasa, Antonio
    Valentino, Paola
    Fera, Francesco
    Nistico, Rita
    Liguori, Maria
    Lanza, Pierluigi
    Quattrone, Aldo
    BRAIN AND COGNITION, 2009, 71 (03) : 320 - 327
  • [50] Brief International Cognitive Assessment for Multiple Sclerosis scores are associated with the cortical thickness of specific cortical areas in relapsing-remitting patients
    Davion, J-B
    Lopes, R.
    Jougleux, C.
    Viard, R.
    Dumont, J.
    Leclerc, X.
    Outteryck, O.
    REVUE NEUROLOGIQUE, 2022, 178 (04) : 326 - 336