Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS)
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Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS). / Johnen, Andreas; Bürkner, Paul-Christian; Landmeyer, Nils C; Ambrosius, Björn; Calabrese, Pasquale; Motte, Jeremias; Hessler, Nicole; Antony, Gisela; König, Inke R; Klotz, Luisa; Hoshi, Muna-Miriam; Aly, Lilian; Groppa, Sergiu; Luessi, Felix; Paul, Friedemann; Tackenberg, Björn; Bergh, Florian Then; Kümpfel, Tania; Tumani, Hayrettin; Stangel, Martin; Weber, Frank; Bayas, Antonios; Wildemann, Brigitte; Heesen, Christoph; Zettl, Uwe K; Zipp, Frauke; Hemmer, Bernhard; Meuth, Sven G; Gold, Ralf; Wiendl, Heinz; Salmen, Anke; German Competence Network Multiple Sclerosis (KKNMS).
In: J NEUROL, Vol. 266, No. 2, 02.2019, p. 386-397.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS)
AU - Johnen, Andreas
AU - Bürkner, Paul-Christian
AU - Landmeyer, Nils C
AU - Ambrosius, Björn
AU - Calabrese, Pasquale
AU - Motte, Jeremias
AU - Hessler, Nicole
AU - Antony, Gisela
AU - König, Inke R
AU - Klotz, Luisa
AU - Hoshi, Muna-Miriam
AU - Aly, Lilian
AU - Groppa, Sergiu
AU - Luessi, Felix
AU - Paul, Friedemann
AU - Tackenberg, Björn
AU - Bergh, Florian Then
AU - Kümpfel, Tania
AU - Tumani, Hayrettin
AU - Stangel, Martin
AU - Weber, Frank
AU - Bayas, Antonios
AU - Wildemann, Brigitte
AU - Heesen, Christoph
AU - Zettl, Uwe K
AU - Zipp, Frauke
AU - Hemmer, Bernhard
AU - Meuth, Sven G
AU - Gold, Ralf
AU - Wiendl, Heinz
AU - Salmen, Anke
AU - German Competence Network Multiple Sclerosis (KKNMS)
AU - Pöttgen, Jana
PY - 2019/2
Y1 - 2019/2
N2 - BACKGROUND: Cognitive impairment (CI) affects approximately one-third of the patients with early multiple sclerosis (MS) and clinically isolated syndrome (CIS). Little is known about factors predicting CI and progression after initial diagnosis.METHODS: Neuropsychological screening data from baseline and 1-year follow-up of a prospective multicenter cohort study (NationMS) involving 1123 patients with newly diagnosed MS or CIS were analyzed. Employing linear multilevel models, we investigated whether demographic, clinical and conventional MRI markers at baseline were predictive for CI and longitudinal cognitive changes.RESULTS: At baseline, 22% of patients had CI (impairment in ≥2 cognitive domains) with highest frequencies and severity in processing speed and executive functions. Demographics (fewer years of academic education, higher age, male sex), clinical (EDSS, depressive symptoms) but no conventional MRI characteristics were linked to baseline CI. At follow-up, only 14% of patients showed CI suggesting effects of retesting. Neither baseline characteristics nor initiation of treatment between baseline and follow-up was able to predict cognitive changes within the follow-up period of 1 year.CONCLUSIONS: Identification of risk factors for short-term cognitive change in newly diagnosed MS or CIS is insufficient using only demographic, clinical and conventional MRI data. Change-sensitive, re-test reliable cognitive tests and more sophisticated predictors need to be employed in future clinical trials and cohort studies of early-stage MS to improve prediction.
AB - BACKGROUND: Cognitive impairment (CI) affects approximately one-third of the patients with early multiple sclerosis (MS) and clinically isolated syndrome (CIS). Little is known about factors predicting CI and progression after initial diagnosis.METHODS: Neuropsychological screening data from baseline and 1-year follow-up of a prospective multicenter cohort study (NationMS) involving 1123 patients with newly diagnosed MS or CIS were analyzed. Employing linear multilevel models, we investigated whether demographic, clinical and conventional MRI markers at baseline were predictive for CI and longitudinal cognitive changes.RESULTS: At baseline, 22% of patients had CI (impairment in ≥2 cognitive domains) with highest frequencies and severity in processing speed and executive functions. Demographics (fewer years of academic education, higher age, male sex), clinical (EDSS, depressive symptoms) but no conventional MRI characteristics were linked to baseline CI. At follow-up, only 14% of patients showed CI suggesting effects of retesting. Neither baseline characteristics nor initiation of treatment between baseline and follow-up was able to predict cognitive changes within the follow-up period of 1 year.CONCLUSIONS: Identification of risk factors for short-term cognitive change in newly diagnosed MS or CIS is insufficient using only demographic, clinical and conventional MRI data. Change-sensitive, re-test reliable cognitive tests and more sophisticated predictors need to be employed in future clinical trials and cohort studies of early-stage MS to improve prediction.
KW - Journal Article
U2 - 10.1007/s00415-018-9142-y
DO - 10.1007/s00415-018-9142-y
M3 - SCORING: Journal article
C2 - 30515631
VL - 266
SP - 386
EP - 397
JO - J NEUROL
JF - J NEUROL
SN - 0340-5354
IS - 2
ER -
