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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Validation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) in a Colombian Population
Andrea N Alarcón1, Oscar D Ayala1, Juan R García2
1Departamento de Psicología, Universidad Nacional de Colombia, Bogotá, Colombia.
Background:
Cognitive impairment has been recognized as an important factor in multiple sclerosis (MS) in the past few years. One brief, reliable and valid tool to assess cognition in MS is the BICAMS, which encompasses the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test (CVLT II), and the Brief Visuospatial Memory Test - Revised (BVMT-R). Continuing with the international initiative to validate the BICAMS in different countries, here we present the results obtained from the efforts in validating such test in the Colombian population.
Method:
100 healthy controls and 50 MS patients participated in the study, group matched for age, education and gender. Subjects completed all three tests of the BICAMS. Instead of the CVLT-II, the Colombian validated form PAMCL (Prueba de Aprendizaje y Memoria con Codificación Libre) was used. Test-retest measures were obtained for 16 patients in order to test for reliability.
Results:
Evidence of criterion validity was obtained, MS group performing significantly worse than HC group in all three tests (SDMT: p= .001, d= 0.59; PAMCL: p= .03, d= 0.38; BVMT-R: p<.001, d= 0.58). Test-retest was also obtained, finding significant correlations for all three tests (SDMT: r=0.932, p<.00; BVMT-R: r=0.863, p<.001; PAMCL: r=0.889, p<.001). Standardization of raw scores to uncontrolled scaled scores was done and these scores were then adjusted for age and years of schooling using a multiple linear regression.
Conclusions:
The BICAMS proved to be a valid and sensitive tool to screen for cognitive impairment in MS patients.
