ECTRIMS eLearning

The Bayesian Risk Estimate at Onset (BREMSO) correlates with cognitive and physical disability in patients with early Multiple Sclerosis
ECTRIMS Learn. Said M. 10/25/17; 199343; EP1322
Marianne Said
Marianne Said
Contributions
Abstract

Abstract: EP1322

Type: ePoster

Abstract Category: Clinical aspects of MS - 4 Natural course

Background and purpose: Prevention of long-term disability is the goal of therapeutic intervention in relapsing remitting multiple sclerosis (RRMS). The Bayesian Risk Estimate for MS at Onset (BREMSO) was designed to give an individual risk score predicting disease evolution into Secondary Progressive MS (SPMS). The aim of this study is to investigate whether BREMSO correlates with physical disability, cognitive dysfunction, and regional brain atrophy during the early disease course.
Method: We investigated 100 patients with RRMS or clinically isolated syndrome (CIS) enrolled in the AUBMC Multiple Sclerosis Interdisciplinary Research (AMIR) study, with at least two years of follow-up and disease duration of less than six years. BREMSO score was calculated for all participants at disease onset. At each visit, cognitive function was assessed using the Symbol Digit Modalities Test (SDMT) and physical disability using the Multiple Sclerosis Severity Score (MSSS), Timed 25-Foot Walk Test (T25-FW) and 9-Hole Peg Test (9-HPT). Out of the 100 patients, 30 had a baseline MRI performed at the radiology department of the AUBMC. 3DT1 with gadolinium injection and 3DFLAIR images were acquired. The intra cranial volume (ICV) as well as the subcortical gray matter structures and the corpus callosum (CC) were automatically segmented and their volumes measured.
Results: The mean (SD) age was 28.1 (11.19) years, MSSS 3.17 (2.36) and disease duration was 2.4 (1.78) years. In multivariate linear regression analyses, controlling for age and education, the BREMSO score correlated negatively with SDMT at visit 1 (β=-0.33 p=0.019), visit 2 (β=-0.34 p=0.017), and visit 3 (β=-0.34 p=0.014). BREMSO correlated positively with MSSS at visit 1 (r=0.38, p=0.006), visit 2 (r=0.47, p< 0.0001), and visit 3 (r=0.42, p=0.002), but did not correlate with T25-FW and 9-HPT. MRI results showed a negative correlation between the BREMSO score and the CC volume at baseline (p< 0.03). No correlation was found between the BREMSO score and the intracranial volume and the subcortical gray matter structures volume. This can be due to the small sample size or short interval follow up.
Conclusions: The BREMSO score is directly correlated not just with the physical progression of the disease (MSSS) but also with the cognitive disability (SDMT and CC volume measurements) in early MS. Future studies might incorporate MRI measures into the BREMSO score increasing the sensitivity and specificity of this score.
Disclosure: All authors have no conflict of interest to disclose.

Abstract: EP1322

Type: ePoster

Abstract Category: Clinical aspects of MS - 4 Natural course

Background and purpose: Prevention of long-term disability is the goal of therapeutic intervention in relapsing remitting multiple sclerosis (RRMS). The Bayesian Risk Estimate for MS at Onset (BREMSO) was designed to give an individual risk score predicting disease evolution into Secondary Progressive MS (SPMS). The aim of this study is to investigate whether BREMSO correlates with physical disability, cognitive dysfunction, and regional brain atrophy during the early disease course.
Method: We investigated 100 patients with RRMS or clinically isolated syndrome (CIS) enrolled in the AUBMC Multiple Sclerosis Interdisciplinary Research (AMIR) study, with at least two years of follow-up and disease duration of less than six years. BREMSO score was calculated for all participants at disease onset. At each visit, cognitive function was assessed using the Symbol Digit Modalities Test (SDMT) and physical disability using the Multiple Sclerosis Severity Score (MSSS), Timed 25-Foot Walk Test (T25-FW) and 9-Hole Peg Test (9-HPT). Out of the 100 patients, 30 had a baseline MRI performed at the radiology department of the AUBMC. 3DT1 with gadolinium injection and 3DFLAIR images were acquired. The intra cranial volume (ICV) as well as the subcortical gray matter structures and the corpus callosum (CC) were automatically segmented and their volumes measured.
Results: The mean (SD) age was 28.1 (11.19) years, MSSS 3.17 (2.36) and disease duration was 2.4 (1.78) years. In multivariate linear regression analyses, controlling for age and education, the BREMSO score correlated negatively with SDMT at visit 1 (β=-0.33 p=0.019), visit 2 (β=-0.34 p=0.017), and visit 3 (β=-0.34 p=0.014). BREMSO correlated positively with MSSS at visit 1 (r=0.38, p=0.006), visit 2 (r=0.47, p< 0.0001), and visit 3 (r=0.42, p=0.002), but did not correlate with T25-FW and 9-HPT. MRI results showed a negative correlation between the BREMSO score and the CC volume at baseline (p< 0.03). No correlation was found between the BREMSO score and the intracranial volume and the subcortical gray matter structures volume. This can be due to the small sample size or short interval follow up.
Conclusions: The BREMSO score is directly correlated not just with the physical progression of the disease (MSSS) but also with the cognitive disability (SDMT and CC volume measurements) in early MS. Future studies might incorporate MRI measures into the BREMSO score increasing the sensitivity and specificity of this score.
Disclosure: All authors have no conflict of interest to disclose.

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