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      Health-related quality of life, neuropsychiatric symptoms and structural brain changes in clinically isolated syndrome

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          Abstract

          Background

          Neuropsychiatric symptoms and reduced health-related quality of life (HRQoL) are frequent in multiple sclerosis, where are associated with structural brain changes, but have been less studied in clinically isolated syndrome (CIS).

          Objective

          To characterize HRQoL, neuropsychiatric symptoms (depressive symptoms, anxiety, apathy and fatigue), their interrelations and associations with structural brain changes in CIS.

          Methods

          Patients with CIS (n = 67) and demographically matched healthy controls (n = 46) underwent neurological and psychological examinations including assessment of HRQoL, neuropsychiatric symptoms and cognitive functioning, and MRI brain scan with global, regional and lesion load volume measurement.

          Results

          The CIS group had more, mostly mild, depressive symptoms and anxiety, and lower HRQoL physical and social subscores (p≤0.037). Neuropsychiatric symptoms were associated with most HRQoL subscores (β≤-0.34, p≤0.005). Cognitive functioning unlike clinical disability was associated with depressive symptoms and lower HRQoL emotional subscores (β≤-0.29, p≤0.019). Depressive symptoms and apathy were associated with right temporal, left insular and right occipital lesion load (ß≥0.29, p≤0.032). Anxiety was associated with lower white matter volume (ß = -0.25, p = 0.045).

          Conclusion

          Mild depressive symptoms and anxiety with decreased HRQoL are present in patients with CIS. Neuropsychiatric symptoms contributing to decreased HRQoL are the result of structural brain changes and require complex therapeutic approach in patients with CIS.

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          Most cited references31

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          Assessment of depression: the depression inventory.

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            Reliable screening for neuropsychological impairment in multiple sclerosis.

            In an earlier study, we developed the Multiple Sclerosis Neuropsychological Screening Questionnaire (MSNQ) to assist in the screening for neuropsychological (NP) impairments. Self-report MSNQ scores correlated significantly with measures of depression, whereas informant-report MSNQ scores correlated with cognitive performance, but not depression. This study was criticized for use of a small sample and lack of data regarding normal performance and test-retest reliability. The present study was designed to replicate the earlier work with a larger sample of patients and normal controls obtained from multiple sites. We also evaluated the test-retest reliability and predictive validity of the MSNQ. The sample included 85 multiple sclerosis (MS) patients and 40 normal controls, matched on demographic variables. All participants completed the MSNQ and underwent NP testing. Thirty-four patients were re-examined at one week. Pearson and ANOVA techniques were utilized for univariate comparisons. Bayesian statistics were calculated to assess predictive validity. Patient self- and informant-report MSNQ scores differed from normal and test retest reliability indices were high. Both self- and informant-reports were correlated with cognitive dysfunction and depression scales. Self-report MSNQ scores correlated more strongly with depression than cognitive performance, whereas the opposite pattern was observed with informant-report scores. Bayesian statistics showed that informant-report MSNQ scores predict cognitive impairment and patient self-report scores identify patients with cognitive impairment or depression. It is concluded that the MSNQ is useful, although patient self-reports may be exaggerated in depressed patients or reduced in patients with severe cognitive impairment.
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              Depression is the main determinant of quality of life in multiple sclerosis: a classification-regression (CART) study.

              Quality of life in multiple sclerosis has been often measured through the SF-36 questionnaire. In this study, validation of the SF-36 summary scores, its 'physical' component, and its 'mental' component was attempted by exploring the joint predictive power of disability (EDSS score), of anxiety and depression (HADS-A and -D scores, respectively), and of disease duration, progression type, age, gender and marital status. The sample consisted of 75 patients suffering from multiple sclerosis admitted to an inpatient rehabilitation unit. The interplay between potential predictors was assessed through a particular regression model (classification and regression tree, CART). Two main advantages of this technique are its robustness with respect to distributional assumptions (rarely met by scores coming in from questionnaires) and its sensitivity to high-order interactions, between independent variables, difficult to detect through conventional multiple regression. Predictive variables for physical component of the SF-36 were EDSS and HADS-D (36.8% variance explanation). The only predictive variable for mental component of SF-36 was HADS-D (39.1% variance explanation). Results confirm previous findings showing that in patients with multiple sclerosis quality of life is heavily determined by person's mood, whatever his/her neurological or functional severity. The usefulness and validity of the SF-36 as an index representative of quality of life is debatable, as long as depression explains much of its variance. Further refinement of quality of life definition and measurement is worth further psychometric and statistical research.
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                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – original draft
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: Funding acquisitionRole: ValidationRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 July 2018
                2018
                : 13
                : 7
                : e0200254
                Affiliations
                [1 ] Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
                [2 ] Department of Radiology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
                McLean Hospital, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3186-2669
                Article
                PONE-D-17-27619
                10.1371/journal.pone.0200254
                6034869
                29979757
                ba9df9c9-ecbf-440b-94e3-f4b47d9fcc5b
                © 2018 Hyncicova et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 July 2017
                : 24 June 2018
                Page count
                Figures: 2, Tables: 3, Pages: 13
                Funding
                Funded by: GAUK
                Award ID: 546317
                Award Recipient :
                Funded by: MH CZ–IGA
                Award ID: NT/12385-5 and NR/9445-3
                Award Recipient :
                Funded by: MH CZ–DRO, Motol University Hospital
                Award ID: 00064203
                Award Recipient :
                Funded by: IPE 2. LF UK
                Award ID: 699012
                Award Recipient :
                This work received support from GAUK (Charles University Grant Agency), Grant No. 546317, http://www.cuni.cz/UK-33.html, recipient: Lukas Martinkovic; MH CZ–IGA (Ministry of Health, Czech Republic, Internal Grant Agancy) Grant Nos. NT/12385-5 and NR/9445-3, https://www.mzcr.cz/obsah/veda-a-vyzkum-iga-mz_2203_1.html, recipient: Eva Meluzinova; MH CZ–DRO (Ministry of Health, Czech Republic—conceptual development of research organization, Motol University Hospital, Prague, Czech Republic) Grant No. 00064203, https://www.mzcr.cz/dokumenty/institucionalni-podporadedikace_7615_978_3.html, recipient: Jan Laczó; and IPE (Institutional Support of Excellence, 2nd Faculty of Medicine, Charles University) Grant No. 6990122, https://www.lf2.cuni.cz/aktuality/vyhlaseni-programu-ipe-institucionalni-podpory-excelence, recipient: Jakub Hort. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Clinical Medicine
                Clinical Immunology
                Autoimmune Diseases
                Multiple Sclerosis
                Biology and Life Sciences
                Immunology
                Clinical Immunology
                Autoimmune Diseases
                Multiple Sclerosis
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                Immunology
                Clinical Immunology
                Autoimmune Diseases
                Multiple Sclerosis
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