ECTRIMS eLearning

Profiling cognitive deficits of patients with remitting relapsing multiple sclerosis (RRMS) in initial and later disease stages
Author(s): ,
M Stumpfe
Affiliations:
Universität Ulm
,
E Redelstein
Affiliations:
University of Ulm, Ulm
,
K.-O Sigel
Affiliations:
NTD Study Group on MS, Munich
,
J Fischer
Affiliations:
NTD Study Group on MS, Regensburg
,
U Kausch
Affiliations:
NTD Study Group on MS, Bogen
,
E Scholz
Affiliations:
NTD Study Group on MS, Böblingen
,
S Gierer
Affiliations:
NTD Study Group on MS, Dillingen
,
G Reifschneider
Affiliations:
NTD Study Group on MS, Erbach
,
W Hofmann
Affiliations:
NTD Study Group on MS, Aschaffenburg
,
E Schlegel
Affiliations:
Universität Ulm0
,
M Plaschke
Affiliations:
Universität UlmUniversität Ulm
,
S Schlmilch-Paschen
Affiliations:
Universität UlmUniversity of Ulm, Ulm
,
S Schmidt
Affiliations:
Universität UlmNTD Study Group on MS, Munich
,
J Kunz
Affiliations:
Universität UlmNTD Study Group on MS, Regensburg
,
M Ernst
Affiliations:
Universität UlmNTD Study Group on MS, Bogen
,
K Gehring
Affiliations:
Universität UlmNTD Study Group on MS, Böblingen
,
B Elias
Affiliations:
Universität UlmNTD Study Group on MS, Dillingen
,
W Elias
Affiliations:
Universität UlmNTD Study Group on MS, Dillingen
,
A Bergmann
Affiliations:
Universität UlmNTD Study Group on MS, Erbach
,
M Lang
Affiliations:
Universität UlmNTD Study Group on MS, Aschaffenburg
H Schreiber
Affiliations:
Universität UlmNTD Study Group on MS, Aschaffenburg
ECTRIMS Learn. Stumpfe M. 09/15/16; 146175; P334
Maximilian Stumpfe
Maximilian Stumpfe
Contributions
Abstract

Abstract: P334

Type: Poster

Abstract Category: Clinical aspects of MS - MS symptoms

Backround: Cognitive dysfunction, besides fatigue and depression, is one of the most important non-motor deficits of MS representing an essential prediction factor for MS-associated the quality of life.

Objective: Baseline analysis of cognitive profiles of 200 RRMS patients starting therapy with dimethylfumarate (Tecfidera®) or switching from other MS medications and participating in a longitudinal follow-up of 24 months.

Questions:

(1) Is the cognitive profile of the total RRMS sample different from that of healthy controls?

(2) Do cognitive profile and performance distinguish RRMS patients without premedication (de-novo) from those switching to DMF (switchers)?

(3) What are the covariate influences on cognitive variables?

Methods: Baseline analysis of a prospective, non-interventional, multicenter (15 practice centers) study of 24 months with assessments at baseline/T0 and after 6,12 and 24 months follow-up

(T6, T12, T24). Inclusion: 18-60 yr, RRMS/Mc Donald, EDSS: 0,5-5. Group: 159 RRMS patients compared to 29 healthy controls, among them 111 switchers and 48 de-novo patients. Assessments: clinical (EDSS, ambulation index, functional status), behavioral (CGI, fatigue/FSS/FSMC, daytime sleepiness/ESS, self-rated attention/FEDA, depression/BDI, quality of life/EQ5D) and cognitive domains (executive function: verbal and non-verbal fluency/RWT,RFFT, interference control/Stroop; working memory: WMSr-BS/ZS, information processing:SDMT, and learning & memory: non-verbal/BVMT, verbal/CVLT).

Results:

(1) When comparing total RRMS vs. controls, significant cognitive deficits were shown for patients in the domains of executive function and memory (verbal and non-verbal domains, respectively)

(2) When comparing de-novo MS vs. switchers, highly significant deficits were shown for the switchers concerning depression, verbal working memory (WMSr-ZS) and EDSS.

(3) A significant covariate influence on cognition was found for time on disease with respect to visual learning (BVMT), information processing (SDMT), fatigue (FSMC), interference control (Stroop) und all clinical parameters (EDSS, CGI, AI).

Conclusion:

(1) the early MS disease process seems to primarily affect aspects of executive functions and verbal/non-verbal learning and memory

(2) switchers are more affected by working memory deficits and depression suggesting that these areas may be particulary vulnerable in case of medication failure and longer disease duration.

Disclosure: Nothing to disclose

Abstract: P334

Type: Poster

Abstract Category: Clinical aspects of MS - MS symptoms

Backround: Cognitive dysfunction, besides fatigue and depression, is one of the most important non-motor deficits of MS representing an essential prediction factor for MS-associated the quality of life.

Objective: Baseline analysis of cognitive profiles of 200 RRMS patients starting therapy with dimethylfumarate (Tecfidera®) or switching from other MS medications and participating in a longitudinal follow-up of 24 months.

Questions:

(1) Is the cognitive profile of the total RRMS sample different from that of healthy controls?

(2) Do cognitive profile and performance distinguish RRMS patients without premedication (de-novo) from those switching to DMF (switchers)?

(3) What are the covariate influences on cognitive variables?

Methods: Baseline analysis of a prospective, non-interventional, multicenter (15 practice centers) study of 24 months with assessments at baseline/T0 and after 6,12 and 24 months follow-up

(T6, T12, T24). Inclusion: 18-60 yr, RRMS/Mc Donald, EDSS: 0,5-5. Group: 159 RRMS patients compared to 29 healthy controls, among them 111 switchers and 48 de-novo patients. Assessments: clinical (EDSS, ambulation index, functional status), behavioral (CGI, fatigue/FSS/FSMC, daytime sleepiness/ESS, self-rated attention/FEDA, depression/BDI, quality of life/EQ5D) and cognitive domains (executive function: verbal and non-verbal fluency/RWT,RFFT, interference control/Stroop; working memory: WMSr-BS/ZS, information processing:SDMT, and learning & memory: non-verbal/BVMT, verbal/CVLT).

Results:

(1) When comparing total RRMS vs. controls, significant cognitive deficits were shown for patients in the domains of executive function and memory (verbal and non-verbal domains, respectively)

(2) When comparing de-novo MS vs. switchers, highly significant deficits were shown for the switchers concerning depression, verbal working memory (WMSr-ZS) and EDSS.

(3) A significant covariate influence on cognition was found for time on disease with respect to visual learning (BVMT), information processing (SDMT), fatigue (FSMC), interference control (Stroop) und all clinical parameters (EDSS, CGI, AI).

Conclusion:

(1) the early MS disease process seems to primarily affect aspects of executive functions and verbal/non-verbal learning and memory

(2) switchers are more affected by working memory deficits and depression suggesting that these areas may be particulary vulnerable in case of medication failure and longer disease duration.

Disclosure: Nothing to disclose

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