Contributions
Abstract: EP1394
Type: ePoster
Abstract Category: Clinical aspects of MS - Clinical assessment tools
Cognitive impairment remains a challenging symptom in MS to both detect and ameliorate. Sensitive and reliable measures are needed to identify cognitive involvement at its earliest stages and its link to disease activity. Intra-individual variability (IIV) in information processing reaction time can be easily and precisely measured through administration of computer-based attention tasks to provide an index of consistency that is independent from overall speed or accuracy. Here, we measured IIV using the Attention Network Test- Interaction (ANT-I, measuring Alerting, Orienting and Executive components of attention) along with standard neuropsychological measures (Symbol Digit Modalities Test or SDMT and learning trails for the Brief Visual Memory Test- Revised or BVMT-R and Rey Auditory Verbal Learning Test or RAVLT, approximating the BICAMS) in a group of n=106 MS patients and n=66 healthy control subjects. ANT-I IIV significantly correlated with the SDMT (p< 0.01) and EDSS (p< 0.001). We then compared performances in those with earliest disease (n=32, ≤35 years in age, median EDSS 2.0). Across all measures, only ANT-I IIV and BVMT-R significantly predicted MS group membership (r=0.29 and 0.35, respectively). IIV correctly classified 68.4% of the MS participants, including in those with BICAMS performance within normal limits. IIV is a sensitive marker of cognitive involvement in MS at in its earliest stages and may serve as an important outcome measure for interventions aimed at preventing cognitive decline.
Disclosure:
Margaret Kasschau: Nothing to disclose
Ge Song: Nothing to disclose
Michael Shaw: Nothing to disclose
Michael Porter: Nothing to disclose
Leigh Charvet: Consultant for Biogen
Abstract: EP1394
Type: ePoster
Abstract Category: Clinical aspects of MS - Clinical assessment tools
Cognitive impairment remains a challenging symptom in MS to both detect and ameliorate. Sensitive and reliable measures are needed to identify cognitive involvement at its earliest stages and its link to disease activity. Intra-individual variability (IIV) in information processing reaction time can be easily and precisely measured through administration of computer-based attention tasks to provide an index of consistency that is independent from overall speed or accuracy. Here, we measured IIV using the Attention Network Test- Interaction (ANT-I, measuring Alerting, Orienting and Executive components of attention) along with standard neuropsychological measures (Symbol Digit Modalities Test or SDMT and learning trails for the Brief Visual Memory Test- Revised or BVMT-R and Rey Auditory Verbal Learning Test or RAVLT, approximating the BICAMS) in a group of n=106 MS patients and n=66 healthy control subjects. ANT-I IIV significantly correlated with the SDMT (p< 0.01) and EDSS (p< 0.001). We then compared performances in those with earliest disease (n=32, ≤35 years in age, median EDSS 2.0). Across all measures, only ANT-I IIV and BVMT-R significantly predicted MS group membership (r=0.29 and 0.35, respectively). IIV correctly classified 68.4% of the MS participants, including in those with BICAMS performance within normal limits. IIV is a sensitive marker of cognitive involvement in MS at in its earliest stages and may serve as an important outcome measure for interventions aimed at preventing cognitive decline.
Disclosure:
Margaret Kasschau: Nothing to disclose
Ge Song: Nothing to disclose
Michael Shaw: Nothing to disclose
Michael Porter: Nothing to disclose
Leigh Charvet: Consultant for Biogen