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Development of a Prognostic Model for Predicting Multiple Sclerosis After Optic Neuritis: A Secondary Analysis of Data From the Optic Neuritis Treatment Trial.
Luo, Wenjing; Deng, Xinlei; Xu, Xiaoyu; Song, Ruitong; Luo, Meifeng; Moss, Heather E; Du, Yi.
Afiliação
  • Luo W; Department of Neurology (WL), the First Affiliated Hospital of Guangxi Medical University, Nanning, China; Department of Environmental Health Sciences (XD), University at Albany, State University of New York, Rensselaer, New York; State Key Laboratory of Ophthalmology (XX), Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China; Department of Ophthalmology (RS, ML, YD), the First Affiliated Hospital of Guangxi Medical University, Nanning, China; Byers Eye Institute (HEM), Stanford
J Neuroophthalmol ; 42(1): 88-96, 2022 03 01.
Article em En | MEDLINE | ID: mdl-34860745
ABSTRACT

BACKGROUND:

Optic neuritis can be the initial manifestation of multiple sclerosis (MS). The purpose of this study was to develop a prognostic model for predicting the risk of MS development among patients with optic neuritis.

METHODS:

The data from 388 patients with optic neuritis were retrieved from the Optic Neuritis Treatment Trial (ONTT). Cox proportional hazards regression analysis was used to develop a prognostic model. The performance of the model was assessed by using Harrell's C-index and calibration curves. The rates of MS development were estimated using the Kaplan-Meier method.

RESULTS:

Among the enrolled subjects, a total of 154 (39.7%) patients developed clinically definite MS during a median follow-up period of 15.8 years (interquartile range, 7.2-16.9 years). The factors associated with the development of MS were the presence of brain lesions as on baseline MRI, previous nonspecific neurologic symptoms, commencing low-dose corticosteroids treatment, ocular pain, and absence of optic disc/peripapillary hemorrhage. After incorporating these 5 factors into the prognostic model, a C-index of 0.72 (95% confidence interval [CI], 0.69-0.76) and good calibration curves were obtained. The C-index of the model was significantly higher than the C-indexes of any single factor (P < 0.001 in all cases). The model was able to stratify the ONTT patient cohort into 3 risk groups with significantly different intergroup rates of developing MS (rates for developing MS within a 15-year period high-risk group, 75.7% [95% CI, 65.6%-82.9%], intermediate-risk group, 44.7% [95% CI, 31.4%-55.4%]; and low-risk group, 20.8% [95% CI, 14.2%-26.8%]; log-rank P < 0.001).

CONCLUSIONS:

This prognostic model had a better prediction ability when compared with the standard practice that relies solely on using brain lesions on MRI. It can, therefore, help guide decision-making to initiate earlier disease-modifying therapy for patients with optic neuritis at risk of developing MS.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neurite Óptica / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Neuroophthalmol Assunto da revista: NEUROLOGIA / OFTALMOLOGIA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neurite Óptica / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Neuroophthalmol Assunto da revista: NEUROLOGIA / OFTALMOLOGIA Ano de publicação: 2022 Tipo de documento: Article