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A longitudinal evaluation of the relationship between no evidence of disease activity and progression of cerebral atrophy and cognitive dysfunction in patients with multiple sclerosis

Grant number: 16/04270-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): October 01, 2016
Effective date (End): September 30, 2018
Field of knowledge:Health Sciences - Medicine - Medical Clinics
Principal researcher:Fernando Cendes
Grantee:Alfredo Damasceno
Home Institution: Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Multiple Sclerosis (MS) is a demyelinating and inflammatory disease of the central nervous system which causes a high socioeconomic cost for health care systems and society as a whole. Over the last decade, the scenario of available disease-modifying therapies (DMT) for MS has rapidly changed and has incorporated drugs that surpass in efficacy the first approved DMTs. Nevertheless, therapeutic progress has led to evolving treatment goals. Assessment of efficacy has relied so far mainly on reduction of annualized relapse rate and disability progression, but these endpoints are becoming impractical nowadays. Therefore, the concept of no evidence of disease activity (NEDA) has recently emerged as a newly employed outcome metric that has the potential to advance clinical trial design. However, its prognostic utility in assessing MS disability still needs to be established. Additionally, this composite measure does not include assessment of cognitive function and brain atrophy, and currently some experts in the field suggest the addition of these measures to the composite outcome. Nevertheless, it is not known if adding cognitive and brain atrophy evaluation is indeed feasible, and whether maintaining NEDA status would have a positive impact on these measures. Therefore, a simple and accurate outcome measure is lacking, yet extremely needed in MS. In this setting, we aimed to evaluate NEDA status after six years of follow-up in a cohort of MS patients, exploring its implications on cognitive and brain atrophy measures.

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DAMASCENO, ALFREDO; PIMENTEL-SILVA, LUCIANA RAMALHO; DAMASCENO, BENITO PEREIRA; CENDES, FERNANDO. Exploring the performance of outcome measures in MS for predicting cognitive and clinical progression in the following years. MULTIPLE SCLEROSIS AND RELATED DISORDERS, v. 46, NOV 2020. Web of Science Citations: 0.
DAMASCENO, ALFREDO; PIMENTEL-SILVA, LUCIANA RAMALHO; DAMASCENO, BENITO PEREIRA; CENDES, FERNANDO. Cognitive trajectories in relapsing-remitting multiple sclerosis: A longitudinal 6-year study. MULTIPLE SCLEROSIS, v. 26, n. 13 OCT 2019. Web of Science Citations: 4.
DAMASCENO, ALFREDO; DIAS-CARNEIRO, RAFAEL PATERNO C.; MORAES, ADRIEL SANTOS; BOLDRINI, VINICIUS O.; QUINTILIANO, RAPHAEL PATRICIO S.; DE PAULA GALDINO DA SILVA, VERONICA ALMEIDA; FARIAS, ALESSANDRO S.; BRANDAO, CARLOS OTAVIO; DAMASCENO, BENITO PEREIRA; BARBOSA DOS SANTOS, LEONILDA MARIA; CENDES, FERNANDO. Clinical and MRI correlates of CSF neurofilament light chain levels in relapsing and progressive MS. MULTIPLE SCLEROSIS AND RELATED DISORDERS, v. 30, p. 149-153, MAY 2019. Web of Science Citations: 1.
DAMASCENO, ALFREDO; SANTIAGO DOS SANTOS AMARAL, JULIANA MACHADO; BARREIRA, AMILTON ANTUNES; BECKER, JEFFERSON; CALLEGARO, DAGOBERTO; CAMPANHOLO, KENIA REPISO; DAMASCENO, LUCIANA AZEVEDO; DINIZ, DENISE SISTEROLLI; FRAGOSO, YARA DADALTI; FRANCO, PAULA S.; FINKELSZTEJN, ALESSANDRO; JORGE, FREDERICO M. H.; LANA-PEIXOTO, MARCO AURELIO; DA CUNHA MATTA, ANDRE PALMA; RABELO MENDONCA, ANDREIA COSTA; NOAL, JANAINA; PAES, RENATA ALVES; PAPAIS-ALVARENGA, REGINA MARIA; PEREIRA, ADRIANA GUTTERRES; SPEDO, CARINA TELLAROLI; DAMASCENO, BENITO PEREIRA. Normative values of the Brief Repeatable Battery of Neuropsychological Tests in a Brazilian population sample: discrete and regression-based norms. Arquivos de Neuro-Psiquiatria, v. 76, n. 3, p. 163-169, MAR 2018. Web of Science Citations: 1.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.