Evidence map›Paper›PMID 41784735›Full record

ArticleJournal of neurology2026

Symptoms of depression and anxiety are early predictors of multi-domain disability progression in progressive MS.

Romy A M Klein Kranenbarg, Katelijn M Blok, Yifan van Hasselt, Sylvia Melisse, Nabil Asahaad, Christiaan de Brabander, Franka Claes, Ilse Hoppenbrouwers, Naghmeh Jafari, Luuk van Rooij and 4 more

Abstract read
In one paragraph

Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Romy A M Klein KranenbargDepartment of Neurology, MS Centre, Albert Schweitzer Hospital, Albert Schweitzerplaats 25, 3318 AT, Dordrecht, The Netherlands.ORCID http://orcid.org/0009-0007-3460-9948
Katelijn M BlokDepartment of Neurology, MS Centre, Albert Schweitzer Hospital, Albert Schweitzerplaats 25, 3318 AT, Dordrecht, The Netherlands.
Yifan van HasseltDepartment of Immunology, MS Centre ErasMS, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
Sylvia MelisseDepartment of Medical Psychology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Nabil AsahaadDepartment of Neurology, IJsselland Hospital, Capelle aan den IJssel, The Netherlands.
Christiaan de BrabanderDepartment of Neurology, Admiraal de Ruijter Hospital, Goes, The Netherlands.
Franka ClaesDepartment of Neurology, Fransiscus Gasthuis and Vlietland Hospital, Rotterdam, The Netherlands.
Ilse HoppenbrouwersDepartment of Neurology, Van Weel-Bethesda Hospital, Dirksland, The Netherlands.
Naghmeh JafariDepartment of Neurology, Amphia Hospital, Breda, The Netherlands.
Luuk van RooijDepartment of Neurology, Maasstad Hospital, Rotterdam, The Netherlands.
Johnny SamijnDepartment of Neurology, Maasstad Hospital, Rotterdam, The Netherlands.
Joost SmoldersDepartment of Neurology, MS Centre ErasMS, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
Beatrijs WokkeDepartment of Neurology, MS Centre ErasMS, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
Janet de BeukelaarDepartment of Neurology, MS Centre, Albert Schweitzer Hospital, Albert Schweitzerplaats 25, 3318 AT, Dordrecht, The Netherlands. beukelaarj@asz.nl.

Funding

Albert Schweitzer Hospital GoedIdee SubsidieAlbert Schweitzer Hospital Stipendium 2021-012Dutch National MS Foundation 2019-019Dutch National MS Foundation OZ2021-019Stichting MS Research 23-490g
6 · The paper itself

Abstract

introductionIn multiple sclerosis (MS), depression and anxiety are common, yet their relation to disease progression is unclear. We investigated whether Hospital Anxiety and Depression Scale (HADS) symptoms predict neurological disability progression.

methodsIn our prospective cohort of people with primary progressive MS (PPMS), depressive and anxiety symptoms were assessed using HADS. Disability progression at 1 and 2 years was assessed using three predefined endpoints: (1) Expanded Disability Status Scale (EDSS), (2) a three-variable composite endpoint (EDSS, Timed 25-Foot Walk (T25FW), or Arm Function in Multiple Sclerosis Questionnaire (AMSQ)), and (3) a five-variable composite endpoint (EDSS, T25FW, AMSQ, Symbol Digit Modalities Test (SDMT), or Patient-Determined Disease Steps (PDDS)). Logistic regression modelled whether HADS scores predicted disability progression. Boruta feature selection identified the most informative HADS items.

resultsOne hundred eleven adults with PPMS completed the HADS (all ≥ 1-year follow-up; 62 ≥ 2 years). Progression occurred predominantly on individual domains. At 1 year, higher total HADS scores predicted progression on the five-variable composite endpoint (OR 3.10, [95% CI 0.99-9.75], p = 0.05; AUC 0.59, [95% CI 0.47-0.70]). At 2 years, the depression sub-score consistently predicted progression on EDSS (OR 8.88, [95% CI 1.12-70.66], p = 0.04), and the five-variable composite endpoint (OR 9.46, [95% CI 1.50-59.52], p = 0.02). Boruta feature selection identified HADS depression-associated items 6 and 8 as best predictors; together achieving similar predictive accuracy compared to the full HADS questionnaire.

conclusionHigher HADS scores, particularly depressive symptoms, predicted disability progression. These findings indicate prognostic value of patient-reported outcomes in predicting disease worsening and their potential use in guiding personalised treatment in progressive MS.

Indexed as

AnxietyDepressionDisease ProgressionMultiple Sclerosis, Chronic ProgressiveAdultDisability EvaluationFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisProspective StudiesAnxietyBiomarkerDepressionMultiple sclerosisPredictorProgression

Identifiers

PMID41784735
PMCPMC12963175

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.