- Title
- Comparison of BICAMS and ARCS for assessment of cognition in multiple sclerosis and predictive value of employment status
- Creator
- Maltby, Vicki E.; Lea, Rodney A.; Ribbons, Karen; Lea, Marino G.; Schofield, Peter W.; Lechner-Scott, Jeannette
- Relation
- Multiple Sclerosis and Related Disorders Vol. 41, Issue June 2020, no. 102037
- Publisher Link
- http://dx.doi.org/10.1016/j.msard.2020.102037
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2020
- Description
- Background: Cognitive impairment is common in multiple sclerosis (MS) but not adequately monitored by Expanded Disability Status Scale assessment. The Audio Recorded Cognitive Screen (ARCS) and Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) are easy-to-use tools to assess cognitive function in clinical practice. Objective: To compare the sensitivity of ARCS to BICAMS and their relative predictive value for employment status. Methods: MS patients and healthy controls were assessed using the ARCS and the BICAMS consecutively. Receiver Operating Characteristic (ROC) curve analyses were used to compare the two tests. A step-wise, logistic regression analysis was used to identify the cognitive test(s) that best predicted employment status and quality of life. Results: Total ARCS, memory and attention domain scores were moderately correlated with all BICAMS tests (r = 0.3–0.5; P ≤ 0.05). Total ARCS predicts cognitive impairment with good sensitivity and specificity relative to the BICAMS tests (AUC = 0.8; P = 0.00045). Total ARCS detects higher levels of impairment than BICAMS in MS patients (44% versus 21%). The memory domain of the ARCS and the BVMT-R were the best predictors of employment status (OR = 1.12 and 1.14, P < 0.05). Conclusion: BICAMS and ARCS have comparable sensitivity for cognitive impairment in MS. Memory assessment from either tests is the best predictor of employment status; however, the BICAMS is a better predictor of work productivity.
- Subject
- multiple sclerosis; cognition; ARCS; BICAMS; employment; quality of life; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1430483
- Identifier
- uon:38853
- Identifier
- ISSN:2211-0348
- Language
- eng
- Full Text
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