Predicting short-term disability in multiple sclerosis

S. A. Gauthier, M. Mandel, C. R.G. Guttmann, B. I. Glanz, S. J. Khoury, Rebecca Betensky, H. L. Weiner

Research output: Contribution to journalArticle

Abstract

OBJECTIVE: To develop covariate specific short-term disability curves to demonstrate the probability of progressing by Expanded Disability Status Scale (EDSS) at semiannual visits. METHODS: Semiannual EDSS scores were prospectively collected in 218 relapsing-remitting (RR) and clinically isolated syndrome (CIS) patients as part of the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB) study. Baseline brain parenchymal fraction (BPF) and T2 lesion volume were available on 205 patients. A partial proportional odds model determined the influence of covariates on the change in EDSS score at subsequent visits. A discrete second order Markov transitional model was fit and generated a probability matrix for each subject; the 6-month probabilities of EDSS change were graphically represented. RESULTS: The univariate analysis demonstrated the lowest baseline BPF quartile (OR 1.99; p = 0.0203) and the highest T2 lesion volume quartile (OR 2.19; p = 0.0130) were associated with progression in EDSS. Covariate specific disability curves demonstrated the effect of BPF and T2 lesion volume on short-term progression. In subjects with a 6-month EDSS of 2, the probability of a sustained progression of an EDSS of 3 within 3 years was 0.277 for a subject with low BPF and a high T2 lesion volume vs 0.055 for a subject with high BPF and a low T2 lesion volume. CONCLUSIONS: Markov transitional models allow for the comparison of covariate specific short-term disability changes among groups of patients with multiple sclerosis.

Original languageEnglish (US)
Pages (from-to)2059-2065
Number of pages7
JournalNeurology
Volume68
Issue number24
DOIs
StatePublished - Jun 1 2007

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Multiple Sclerosis
Brain

ASJC Scopus subject areas

  • Clinical Neurology

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Gauthier, S. A., Mandel, M., Guttmann, C. R. G., Glanz, B. I., Khoury, S. J., Betensky, R., & Weiner, H. L. (2007). Predicting short-term disability in multiple sclerosis. Neurology, 68(24), 2059-2065. https://doi.org/10.1212/01.wnl.0000264890.97479.b1

Predicting short-term disability in multiple sclerosis. / Gauthier, S. A.; Mandel, M.; Guttmann, C. R.G.; Glanz, B. I.; Khoury, S. J.; Betensky, Rebecca; Weiner, H. L.

In: Neurology, Vol. 68, No. 24, 01.06.2007, p. 2059-2065.

Research output: Contribution to journalArticle

Gauthier, SA, Mandel, M, Guttmann, CRG, Glanz, BI, Khoury, SJ, Betensky, R & Weiner, HL 2007, 'Predicting short-term disability in multiple sclerosis', Neurology, vol. 68, no. 24, pp. 2059-2065. https://doi.org/10.1212/01.wnl.0000264890.97479.b1
Gauthier SA, Mandel M, Guttmann CRG, Glanz BI, Khoury SJ, Betensky R et al. Predicting short-term disability in multiple sclerosis. Neurology. 2007 Jun 1;68(24):2059-2065. https://doi.org/10.1212/01.wnl.0000264890.97479.b1
Gauthier, S. A. ; Mandel, M. ; Guttmann, C. R.G. ; Glanz, B. I. ; Khoury, S. J. ; Betensky, Rebecca ; Weiner, H. L. / Predicting short-term disability in multiple sclerosis. In: Neurology. 2007 ; Vol. 68, No. 24. pp. 2059-2065.
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AU - Guttmann, C. R.G.

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AU - Khoury, S. J.

AU - Betensky, Rebecca

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N2 - OBJECTIVE: To develop covariate specific short-term disability curves to demonstrate the probability of progressing by Expanded Disability Status Scale (EDSS) at semiannual visits. METHODS: Semiannual EDSS scores were prospectively collected in 218 relapsing-remitting (RR) and clinically isolated syndrome (CIS) patients as part of the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB) study. Baseline brain parenchymal fraction (BPF) and T2 lesion volume were available on 205 patients. A partial proportional odds model determined the influence of covariates on the change in EDSS score at subsequent visits. A discrete second order Markov transitional model was fit and generated a probability matrix for each subject; the 6-month probabilities of EDSS change were graphically represented. RESULTS: The univariate analysis demonstrated the lowest baseline BPF quartile (OR 1.99; p = 0.0203) and the highest T2 lesion volume quartile (OR 2.19; p = 0.0130) were associated with progression in EDSS. Covariate specific disability curves demonstrated the effect of BPF and T2 lesion volume on short-term progression. In subjects with a 6-month EDSS of 2, the probability of a sustained progression of an EDSS of 3 within 3 years was 0.277 for a subject with low BPF and a high T2 lesion volume vs 0.055 for a subject with high BPF and a low T2 lesion volume. CONCLUSIONS: Markov transitional models allow for the comparison of covariate specific short-term disability changes among groups of patients with multiple sclerosis.

AB - OBJECTIVE: To develop covariate specific short-term disability curves to demonstrate the probability of progressing by Expanded Disability Status Scale (EDSS) at semiannual visits. METHODS: Semiannual EDSS scores were prospectively collected in 218 relapsing-remitting (RR) and clinically isolated syndrome (CIS) patients as part of the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB) study. Baseline brain parenchymal fraction (BPF) and T2 lesion volume were available on 205 patients. A partial proportional odds model determined the influence of covariates on the change in EDSS score at subsequent visits. A discrete second order Markov transitional model was fit and generated a probability matrix for each subject; the 6-month probabilities of EDSS change were graphically represented. RESULTS: The univariate analysis demonstrated the lowest baseline BPF quartile (OR 1.99; p = 0.0203) and the highest T2 lesion volume quartile (OR 2.19; p = 0.0130) were associated with progression in EDSS. Covariate specific disability curves demonstrated the effect of BPF and T2 lesion volume on short-term progression. In subjects with a 6-month EDSS of 2, the probability of a sustained progression of an EDSS of 3 within 3 years was 0.277 for a subject with low BPF and a high T2 lesion volume vs 0.055 for a subject with high BPF and a low T2 lesion volume. CONCLUSIONS: Markov transitional models allow for the comparison of covariate specific short-term disability changes among groups of patients with multiple sclerosis.

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