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Fatigue scores correlate with other self-assessment data, but not with clinical and biomarker parameters, in CIS and RRMS.
Mult Scler Relat Disord 2019; 36:101424MS

Abstract

BACKGROUND

Fatigue is common in multiple sclerosis and is associated with reduced quality of life. This study aimed to assess the correlation between fatigue scores and data from other self-assessment questionnaires, neuropsychological tests and neuroimaging, as well as data on neuroimmunological markers in cerebrospinal fluid (CSF) and serum/plasma, in clinically isolated syndrome (CIS) and relapsing remitting MS (RRMS).

METHODS

Modified fatigue impact scale (MFIS) scores were determined in 38 patients with newly diagnosed CIS or RRMS at baseline and after one year in a prospective longitudinal cohort study. Non-parametric correlation analyses were used to assess associations between MFIS scores and other self-assessment questionnaire data (Hospital Anxiety and Depression scale (HAD), Multiple Sclerosis Impact Scale 29 (MSIS-29) and Short Form 36 (SF-36)), as well as with neuropsychological test performances (e.g. Auditory Consonant Trigram Test (ACTT)), clinical parameters (e.g. disease duration and expanded disability status scale (EDSS)), magnetic resonance imaging (MRI) data (number of T2 lesions in brain MRI and total brain volume) and several neurodegenerative/neuroinflammatory markers in CSF and serum/plasma (IL-1β, IL-6, CXCL1, CXCL10, CXCL13, CCL-22 in plasma; neurofilament light chain (NFL) in serum; IL-6, CXCL1, CXCL10, CXCL13, CCL22, NFL and chitinase-3-like-1 (CHI3L1) in CSF. CSF and serum/plasma from 21 age- and sex-matched healthy controls were available for comparison.

RESULTS

At both baseline and one-year follow-up, fatigue scores correlated significantly with HAD, MSIS-29 and SF-36 scores and ACTT performance (Spearman´s rho 0.45-0.78, all p ≤ 0.01) but not with the other neuropsychological test results, disease duration, EDSS ratings, number of T2 lesions, total brain volume or neurodegenerative/neuroinflammatory markers, including neurofilament light chain levels in CSF and serum. In group comparisons, MFIS scores were similar in patients fulfilling no evidence of disease activity-3 (NEDA-3) (n = 18) and patients not fulfilling NEDA-3 (n = 20) during one year of follow-up (p > 0.01).

CONCLUSIONS

In this cohort of patients with newly diagnosed CIS and RRMS, fatigue scores were associated with mood, disease impact on daily life and quality of life as well as with alterations of attentive functions. Study results indicate that subjective fatigue scores are not well reflected by some commonly used and objectively measurable disease parameters like EDSS, T2 lesions and NFL levels.

Authors+Show Affiliations

Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden. Electronic address: irene.hakansson@regionostergotland.se.Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden; Department of Clinical Immunology and Transfusion Medicine and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.Department of Clinical Immunology and Transfusion Medicine and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31586802

Citation

Håkansson, Irene, et al. "Fatigue Scores Correlate With Other Self-assessment Data, but Not With Clinical and Biomarker Parameters, in CIS and RRMS." Multiple Sclerosis and Related Disorders, vol. 36, 2019, p. 101424.
Håkansson I, Johansson L, Dahle C, et al. Fatigue scores correlate with other self-assessment data, but not with clinical and biomarker parameters, in CIS and RRMS. Mult Scler Relat Disord. 2019;36:101424.
Håkansson, I., Johansson, L., Dahle, C., Vrethem, M., & Ernerudh, J. (2019). Fatigue scores correlate with other self-assessment data, but not with clinical and biomarker parameters, in CIS and RRMS. Multiple Sclerosis and Related Disorders, 36, p. 101424. doi:10.1016/j.msard.2019.101424.
Håkansson I, et al. Fatigue Scores Correlate With Other Self-assessment Data, but Not With Clinical and Biomarker Parameters, in CIS and RRMS. Mult Scler Relat Disord. 2019 Oct 1;36:101424. PubMed PMID: 31586802.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Fatigue scores correlate with other self-assessment data, but not with clinical and biomarker parameters, in CIS and RRMS. AU - Håkansson,Irene, AU - Johansson,Lovisa, AU - Dahle,Charlotte, AU - Vrethem,Magnus, AU - Ernerudh,Jan, Y1 - 2019/10/01/ PY - 2019/01/18/received PY - 2019/08/07/revised PY - 2019/09/30/accepted PY - 2019/10/7/pubmed PY - 2019/10/7/medline PY - 2019/10/7/entrez KW - Chemokine KW - Fatigue KW - Multiple sclerosis KW - Neurofilament light chain KW - Neuropsychology SP - 101424 EP - 101424 JF - Multiple sclerosis and related disorders JO - Mult Scler Relat Disord VL - 36 N2 - BACKGROUND: Fatigue is common in multiple sclerosis and is associated with reduced quality of life. This study aimed to assess the correlation between fatigue scores and data from other self-assessment questionnaires, neuropsychological tests and neuroimaging, as well as data on neuroimmunological markers in cerebrospinal fluid (CSF) and serum/plasma, in clinically isolated syndrome (CIS) and relapsing remitting MS (RRMS). METHODS: Modified fatigue impact scale (MFIS) scores were determined in 38 patients with newly diagnosed CIS or RRMS at baseline and after one year in a prospective longitudinal cohort study. Non-parametric correlation analyses were used to assess associations between MFIS scores and other self-assessment questionnaire data (Hospital Anxiety and Depression scale (HAD), Multiple Sclerosis Impact Scale 29 (MSIS-29) and Short Form 36 (SF-36)), as well as with neuropsychological test performances (e.g. Auditory Consonant Trigram Test (ACTT)), clinical parameters (e.g. disease duration and expanded disability status scale (EDSS)), magnetic resonance imaging (MRI) data (number of T2 lesions in brain MRI and total brain volume) and several neurodegenerative/neuroinflammatory markers in CSF and serum/plasma (IL-1β, IL-6, CXCL1, CXCL10, CXCL13, CCL-22 in plasma; neurofilament light chain (NFL) in serum; IL-6, CXCL1, CXCL10, CXCL13, CCL22, NFL and chitinase-3-like-1 (CHI3L1) in CSF. CSF and serum/plasma from 21 age- and sex-matched healthy controls were available for comparison. RESULTS: At both baseline and one-year follow-up, fatigue scores correlated significantly with HAD, MSIS-29 and SF-36 scores and ACTT performance (Spearman´s rho 0.45-0.78, all p ≤ 0.01) but not with the other neuropsychological test results, disease duration, EDSS ratings, number of T2 lesions, total brain volume or neurodegenerative/neuroinflammatory markers, including neurofilament light chain levels in CSF and serum. In group comparisons, MFIS scores were similar in patients fulfilling no evidence of disease activity-3 (NEDA-3) (n = 18) and patients not fulfilling NEDA-3 (n = 20) during one year of follow-up (p > 0.01). CONCLUSIONS: In this cohort of patients with newly diagnosed CIS and RRMS, fatigue scores were associated with mood, disease impact on daily life and quality of life as well as with alterations of attentive functions. Study results indicate that subjective fatigue scores are not well reflected by some commonly used and objectively measurable disease parameters like EDSS, T2 lesions and NFL levels. SN - 2211-0356 UR - https://www.unboundmedicine.com/medline/citation/31586802/Fatigue_scores_correlate_with_other_self-assessment_data,_but_not_with_clinical_and_biomarker_parameters,_in_CIS_and_RRMS L2 - https://linkinghub.elsevier.com/retrieve/pii/S2211-0348(19)30404-3 DB - PRIME DP - Unbound Medicine ER -