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Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset
OBJECTIVES: Huntington’s disease (HD) is a neurodegenerative disease in which cognitive and behavioural symptoms impair the performance of instrumental activities of daily living, including the handling of finances. We sought to determine the prevalence of financial dysfunction in HD, and the demogr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217841/ https://www.ncbi.nlm.nih.gov/pubmed/35165768 http://dx.doi.org/10.1007/s00415-021-10929-4 |
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author | Harris, Kate L. Mason, Sarah L. Barker, Roger A. |
author_facet | Harris, Kate L. Mason, Sarah L. Barker, Roger A. |
author_sort | Harris, Kate L. |
collection | PubMed |
description | OBJECTIVES: Huntington’s disease (HD) is a neurodegenerative disease in which cognitive and behavioural symptoms impair the performance of instrumental activities of daily living, including the handling of finances. We sought to determine the prevalence of financial dysfunction in HD, and the demographic and clinical predictors of such impairments. METHODS: We analysed longitudinal data for pre-manifest gene carriers and HD patients from the Enroll-HD dataset. Financial dysfunction was determined by finance-related items in the Total Functional Capacity (TFC) and Functional Assessment (FA) scales. A binary logistical regression model was used to investigate the predictive value of demographic and clinical factors for the development of financial dysfunction. RESULTS: Financial impairment was found to be common in HD gene carriers, and over half required financial assistance within 5 years from diagnosis. Cognitive impairment, apathy, unemployment and disease severity predicted financial dysfunction in manifest patients. For pre-manifest patients, the predictors were proximity to disease onset and depression. CONCLUSIONS: Loss of financial autonomy is common in HD, and cognitive and psychiatric factors are important in its development. Clinicians must be vigilant to identify patients that may be vulnerable to financial exploitation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-021-10929-4. |
format | Online Article Text |
id | pubmed-9217841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-92178412022-06-24 Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset Harris, Kate L. Mason, Sarah L. Barker, Roger A. J Neurol Original Communication OBJECTIVES: Huntington’s disease (HD) is a neurodegenerative disease in which cognitive and behavioural symptoms impair the performance of instrumental activities of daily living, including the handling of finances. We sought to determine the prevalence of financial dysfunction in HD, and the demographic and clinical predictors of such impairments. METHODS: We analysed longitudinal data for pre-manifest gene carriers and HD patients from the Enroll-HD dataset. Financial dysfunction was determined by finance-related items in the Total Functional Capacity (TFC) and Functional Assessment (FA) scales. A binary logistical regression model was used to investigate the predictive value of demographic and clinical factors for the development of financial dysfunction. RESULTS: Financial impairment was found to be common in HD gene carriers, and over half required financial assistance within 5 years from diagnosis. Cognitive impairment, apathy, unemployment and disease severity predicted financial dysfunction in manifest patients. For pre-manifest patients, the predictors were proximity to disease onset and depression. CONCLUSIONS: Loss of financial autonomy is common in HD, and cognitive and psychiatric factors are important in its development. Clinicians must be vigilant to identify patients that may be vulnerable to financial exploitation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-021-10929-4. Springer Berlin Heidelberg 2022-02-14 2022 /pmc/articles/PMC9217841/ /pubmed/35165768 http://dx.doi.org/10.1007/s00415-021-10929-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Communication Harris, Kate L. Mason, Sarah L. Barker, Roger A. Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset |
title | Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset |
title_full | Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset |
title_fullStr | Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset |
title_full_unstemmed | Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset |
title_short | Exploring the predictors of financial impairment in Huntington’s disease using the Enroll-HD dataset |
title_sort | exploring the predictors of financial impairment in huntington’s disease using the enroll-hd dataset |
topic | Original Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217841/ https://www.ncbi.nlm.nih.gov/pubmed/35165768 http://dx.doi.org/10.1007/s00415-021-10929-4 |
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