Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis.
Mult Scler
; 24(5): 642-652, 2018 04.
Article
en En
| MEDLINE
| ID: mdl-28382837
ABSTRACT
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.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Sistema de Registros
/
Progresión de la Enfermedad
/
Esclerosis Múltiple Crónica Progresiva
/
Evaluación de la Discapacidad
/
Análisis de Clases Latentes
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Mult Scler
Asunto de la revista:
NEUROLOGIA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Italia