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      Modelling disease course in amyotrophic lateral Sclerosis: pseudo-longitudinal insights from cross-sectional health-related quality of life data

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          Abstract

          Background

          Amyotrophic Lateral Sclerosis (ALS) is a rapidly progressive neurodegenerative disorder with limited robust disease-modifying therapies presently available. While several treatments are aimed at improving health-related quality of life (HRQoL), longitudinal data on how QoL changes across the disease course are rare.

          Objectives

          To explore longitudinal changes in emotional well-being and HRQoL in ALS.

          Methods

          Of the 161 subjects initially recruited, 39 received 2 subsequent follow-up assessments at 6 and 12 months after baseline. The ALS Functional Rating Scale-Revised (ALSFRS-R) was used to assess physical impairment. HRQoL was assessed using the ALS Assessment Questionnaire (ALSAQ-40). The D50 disease progression model was applied to explore longitudinal changes in HRQoL.

          Results

          Patients were primarily in the early semi-stable and early progressive model-derived disease phases. Non-linear correlation analyses showed that the ALSAQ-40 summary index and emotional well-being subdomain behaved differently across disease phases, indicating that the response shift occurs early in disease. Both the ALSFRS-R and ALSAQ-40 significantly declined at 6- and 12-monthly follow-ups.

          Conclusion

          ALSAQ-40 summary index and emotional well-being change comparably over both actual time and model-derived phases, indicating that the D50 model enables pseudo-longitudinal interpretations of cross-sectional data in ALS.

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          Most cited references13

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          Integrating response shift into health-related quality of life research: a theoretical model.

          Patients confronted with a life-threatening or chronic disease are faced with the necessity to accommodate to their illness. An important mediator of this adaptation process is 'response shift' which involves changing internal standards, values and the conceptualization of quality of life (QOL). Integrating response shift into QOL research would allow a better understanding of how QOL is affected by changes in health status and would direct the development of reliable and valid measures for assessing changes in QOL. A theoretical model is proposed to clarify and predict changes in QOL as a result of the interaction of: (a) a catalyst, referring to changes in the respondent's health status; (b) antecedents, pertaining to stable or dispositional characteristics of the individual (e.g. personality); (c) mechanisms, encompassing behavioral, cognitive, or affective processes to accommodate the changes in health status (e.g. initiating social comparisons, reordering goals); and (d) response shift, defined as changes in the meaning of one's self-evaluation of QOL resulting from changes in internal standards, values, or conceptualization. A dynamic feedback loop aimed at maintaining or improving the perception of QOL is also postulated. This model is illustrated and the underlying assumptions are discussed. Future research directions are outlined that may further the investigation of response shift, by testing specific hypotheses and predictions about the QOL domains and the clinical and psychosocial conditions that would potentiate or prevent response shift effects.
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            Quality of life in ALS is maintained as physical function declines.

            To study patients with ALS to determine how physical function, quality of life (QOL), and spirituality or religiousness change over time, and what relationship these changes have to one another. Sixty patients with ALS were studied prospectively. They were assessed at baseline, 3 months, and 6 months, using questionnaires designed to measure general quality of life (McGill Quality of Life questionnaire), religiosity (Idler Index of Religiosity), ALS-specific health-related quality of life (SIP/ALS-19), and ALS-specific function (ALS functional rating scale). A two-way repeated measures multivariate analysis of variance revealed that both the passage of time and the specific QOL scales used were factors in predicting patient quality of life (F[1, 59]= 9.87, p < 0.003 and F[3, 177]= 16.90, p < 0.001) Despite a progressive decline in physical function as measured by the ALS-specific function score, the general QOL and religiosity scores changed little. In contrast, the ALS-specific health-related QOL score declined in parallel with the ALS-specific function score. QOL in patients with ALS appears to be independent of physical function, which agrees with a previous cross-sectional study. The ALS-specific health-related QOL score is primarily a measure of physical function. QOL instruments that assess spiritual, religious, and psychological factors produce different results than those obtained using measures of physical function alone.
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              Patient-Perceived Outcomes and Quality of Life in ALS

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                Author and article information

                Contributors
                Tino.prell@med.uni-jena.de
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                1 May 2020
                1 May 2020
                2020
                : 18
                : 117
                Affiliations
                [1 ]GRID grid.275559.9, ISNI 0000 0000 8517 6224, Hans Berger Department of Neurology, , Jena University Hospital, ; Am Klinikum 1, 07747 Jena, Germany
                [2 ]GRID grid.275559.9, ISNI 0000 0000 8517 6224, Center for Healthy Ageing, , Jena University Hospital, ; Jena, Germany
                Author information
                http://orcid.org/0000-0001-7854-6247
                Article
                1372
                10.1186/s12955-020-01372-6
                7195704
                32357946
                cb1a6930-e7e2-4791-a98b-f6daf163bdd5
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 14 October 2019
                : 22 April 2020
                Categories
                Short Report
                Custom metadata
                © The Author(s) 2020

                Health & Social care
                disease aggressiveness,health-related quality of life,longitudinal modelling

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