4.6 Article

Validation of Discrete and Regression-Based Performance and Cognitive Fatigability Normative Data for the Paced Auditory Serial Addition Test in Multiple Sclerosis

Journal

FRONTIERS IN NEUROSCIENCE
Volume 15, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2021.730817

Keywords

PASAT; cognitive fatigability; fatigue; normative data; regression-based norms; discrete norms; multiple sclerosis

Categories

Funding

  1. Multiple Sclerosis Society of Canada
  2. University of Ottawa Brain and Mind Research Institute

Ask authors/readers for more resources

The study validated the use of PASAT discrete and regression-based norms for measuring performance and cognitive fatigability in individuals with MS. The results showed that the 3-second PASAT was effective in detecting cognitive fatigability in MS patients, and using halves or thirds for calculating cognitive fatigability scores was equally effective. Additionally, both discrete and regression-based norms classified a similar proportion of individuals with MS as having impaired performance and cognitive fatigability.
Cognitive fatigability is an objective performance decrement that occurs over time during a task requiring sustained cognitive effort. Although cognitive fatigability is a common and debilitating symptom in multiple sclerosis (MS), there is currently no standard for its quantification. The objective of this study was to validate the Paced Auditory Serial Addition Test (PASAT) discrete and regression-based normative data for quantifying performance and cognitive fatigability in an Ontario-based sample of individuals with MS. Healthy controls and individuals with MS completed the 3 '' and 2 '' versions of the PASAT. PASAT performance was measured with total correct, dyad, and percent dyad scores. Cognitive fatigability scores were calculated by comparing performance on the first half (or third) of the task to the last half (or third). The results revealed that the 3 '' PASAT was sufficient to detect impaired performance and cognitive fatigability in individuals with MS given the increased difficulty of the 2 '' version. In addition, using halves or thirds for calculating cognitive fatigability scores were equally effective methods for detecting impairment. Finally, both the discrete and regression-based norms classified a similar proportion of individuals with MS as having impaired performance and cognitive fatigability. These newly validated discrete and regression-based PASAT norms provide a new tool for clinicians to document statistically significant cognitive fatigability in their patients.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available