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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Recommendations for the detection and therapeutic management of cognitive impairment in multiple sclerosis
C Bensa1, E Bodiguel, D Brassat
1Fondation Rothschild, service de neurologie, 25-29 rue Manin, Paris, France. carobensa@hotmail.com
Abstract:
The aim of the Multiple Sclerosis Think Tank (Groupe de réflexion sur la sclérose en plaques [GRESEP]) is to prescribe recommendations following a systematic literature search and using a Rand Corporation and California University (RAND/UCLA) appropriateness derived method, in response to practical questions that are raised in the management of patients with multiple sclerosis (MS). The topics of this working program were chosen because they were not addressed in the French recommendations and because of the few data in the literature that enabled practices to be based on validated data. Following the theme on useful serum testing with suspected multiple sclerosis, the subjects of the present work concern the detection and management of cognitive impairment in the beginning stages of the disease course. Two clinical questions were asked: which complementary exams (besides physical examination and neuropsychological tests) would help in the screening of cognitive impairment at the beginning of the disease? What care management should the person with MS and cognitive impairment be offered (treatments and neurocognitive rehabilitation)? The recommendations are the result of a consensus amongst a working group, a rating group and a reading group comprised of hospital neurologists involved in the management of patients with multiple sclerosis. Each recommendation is presented with the degree of consensus that it was accorded.
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