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Pathological cerebrospinal fluid protein concentration and albumin quotient at relapse predicts short-term disability progression in multiple sclerosis: a retrospective single center observational study
Author(s) -
Lara Diem,
Maxine Bürge,
Alexander Leichtle,
Arsany Hakim,
Andrew Chan,
Anke Salmen,
MariaEleftheria Evangelopoulos,
Robert Hoepner
Publication year - 2020
Publication title -
therapeutic advances in neurological disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.684
H-Index - 50
eISSN - 1756-2864
pISSN - 1756-2856
DOI - 10.1177/1756286420975909
Subject(s) - medicine , expanded disability status scale , multiple sclerosis , cerebrospinal fluid , confidence interval , proportional hazards model , retrospective cohort study , pathological , magnetic resonance imaging , oncology , gastroenterology , immunology , radiology
Background: Blood–brain barrier dysfunction in active multiple sclerosis (MS) lesions leads to pathological changes of cerebrospinal fluid (CSF). Theoretically, CSF analyses could help to predict relapse recovery and the course of disability. In this monocentric study, we investigated the impact of CSF findings assessed during the first relapse of MS on the short-term course of disability.Methods: We performed a retrospective observational study including MS patients with available CSF data after onset of first MS relapse. Clinical symptoms had to be accompanied by gadolinium-enhanced lesion on magnetic resonance imaging. Expanded Disability Status Scale (EDSS) assessments at timepoint of relapse and after relapse recovery were studied to analyze disability. A two-step multivariate linear regression analysis adjusted for EDSS at spinal tab, duration of symptoms, sex, time until post relapse EDSS assessment, immunotherapy post relapse, and relapse treatment with glucocorticoids/plasma exchange to predict relapse associated disability was run.Results: In the first step of the regression model, pathological albumin quotient (QAlb) [regression coefficient 0.50, 95% confidence interval (CI) (0.07–0.92), p = 0.02, n = 99] and CSF protein concentration [regression coefficient 0.84, 95% CI (0.33–1.35), p = 0.001, n = 99] predicted EDSS after relapse recovery. In the second step, the sum score of both predictors [range 0–2; n per value: 0 ( n = 73), 1 ( n = 10), 2 ( n = 15)] confirmed the negative impact on course of disability after relapse [regression coefficient 0.38, 95% CI (0.13–0.62), p = 0.003, n = 98]. In this final multivariate linear regression model ( p < 0.001; R 2 0.34), also EDSS at lumbar puncture [regression coefficient 0.58, 95% CI (0.35–0.81), p < 0.001, n = 98] and time between symptom onset and CSF evaluation [regression coefficient 0.03, 95% CI (0.006–0.048), p = 0.01, n = 98] forecast subsequent disabilityDiscussion: Our study conducted in MS patients during first relapse confirmed that both increased CSF protein concentration and pathological QAlb have a negative impact on EDSS after relapse. As secondary finding, we identified time from symptom onset to lumbar puncture as predictor of disability recovery after relapse.

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