Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
28382837
DOI
10.1177/1352458517703800
Knihovny.cz E-zdroje
- Klíčová slova
- Primary progressive multiple sclerosis, clinical trials, disability, heterogeneity, long-term, trajectories,
- MeSH
- analýza latentních tříd * MeSH
- Bayesova věta MeSH
- chronicko-progresivní roztroušená skleróza diagnóza patologie MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- následné studie MeSH
- opožděná diagnóza MeSH
- postižení MeSH
- posuzování pracovní neschopnosti * MeSH
- prognóza MeSH
- progrese nemoci * MeSH
- prospektivní studie MeSH
- registrace * MeSH
- sexuální faktory MeSH
- věkové faktory MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Several natural history studies on primary progressive multiple sclerosis (PPMS) patients detected a consistent heterogeneity in the rate of disability accumulation. OBJECTIVES: To identify subgroups of PPMS patients with similar longitudinal trajectories of Expanded Disability Status Scale (EDSS) over time. METHODS: All PPMS patients collected within the MSBase registry, who had their first EDSS assessment within 5 years from onset, were included in the analysis. Longitudinal EDSS scores were modeled by a latent class mixed model (LCMM), using a nonlinear function of time from onset. LCMM is an advanced statistical approach that models heterogeneity between patients by classifying them into unobserved groups showing similar characteristics. RESULTS: A total of 853 PPMS (51.7% females) from 24 countries with a mean age at onset of 42.4 years (standard deviation (SD): 10.8 years), a median baseline EDSS of 4 (interquartile range (IQR): 2.5-5.5), and 2.4 years of disease duration (SD: 1.5 years) were included. LCMM detected three different subgroups of patients with a mild ( n = 143; 16.8%), moderate ( n = 378; 44.3%), or severe ( n = 332; 38.9%) disability trajectory. The probability of reaching EDSS 6 at 10 years was 0%, 46.4%, and 81.9% respectively. CONCLUSION: Applying an LCMM modeling approach to long-term EDSS data, it is possible to identify groups of PPMS patients with different prognosis.
Amiri Hospital Kuwait City Kuwait
Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino Italy
Bombay Hospital Institute of Medical Sciences Mumbai India
C Mondino National Neurological Institute Pavia Italy
Centre de Réadaptation En Déficience Physique Chaudière Appalache Levis QC Canada
Clinique Neuro Rive Sud Greenfield Park QC Canada
Cliniques Universitaires Saint Luc Brussels Belgium
Craigavon Area Hospital Craigavon UK
Department NEUROFARBA Section Neuroscience University of Florence Florence Italy
Department of Basic Medical Sciences Neuroscience and Sense Organs University of Bari Bari Italy
Department of Health Sciences Section of Biostatistics University of Genoa Genova Italy
Department of Medicine The University of Melbourne Melbourne VIC Australia
Flinders University and Medical Centre Adelaide SA Australia
Golestan Hospital Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran
Groene Hart Ziekenhuis Gouda The Netherlands
Hôpital Notre Dame Montreal QC Canada
Hospital Clinico San Carlos Madrid Spain
Hospital de Galdakao Usansolo Galdakao Spain
Hospital Germans Trias i Pujol Badalona Spain
Hospital São João Porto Portugal
Hospital Universitario Virgen de Valme Seville Spain
Hospital Universitario Virgen Macarena Sevilla Spain
Hunter Medical Research Institute The University of Newcastle Newcastle NSW Australia
Isfahan University of Medical Sciences Isfahan Iran
Kommunehospitalet Aarhus Denmark
KTU Medical Faculty Farabi Hospital Trabzon Turkey
Medical Faculty Ondokuz Mayis University Samsun Turkey
Nuovo Ospedale Civile S Agostino Estense Modena Italy
Ospedali Riuniti di Salerno Salerno Italy
Royal Hobart Hospital Hobart TAS Australia
University of Parma Parma Italy
UOC Neurologia Azienda Sanitaria Unica Regionale Marche Macerata Italy
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