Prognostic factors for falls in Parkinson’s disease: a systematic review
dc.contributor.author | Murueta-Goyena Larrañaga, Ane | |
dc.contributor.author | Muiño, Oier | |
dc.contributor.author | Gómez Esteban, Juan Carlos | |
dc.date.accessioned | 2024-04-15T15:49:05Z | |
dc.date.available | 2024-04-15T15:49:05Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Acta Neurologica Belgica 124 : 395-406 (2024) | es_ES |
dc.identifier.issn | 2240-2993 | |
dc.identifier.issn | 0300-9009 | |
dc.identifier.uri | http://hdl.handle.net/10810/66689 | |
dc.description.abstract | Background Falls represent a critical concern in Parkinson’s disease (PD), contributing to increased morbidity and reduced quality of life. Purpose We conducted a systematic review to assess the prognostic factors associated with falls in PD, aiming to provide a comprehensive overview of relevant demographic and clinical parameters, and aid neurologists in identifying subsets of PD patients most susceptible to falls and associated injuries. Methods PubMed and Web of Science databases were searched for prospective studies assessing factors associated with falls in ambulatory PD patients across different settings, from inception to August 2023. Data extraction was conducted using CHARMS-PF checklist and risk of bias was assessed with QUIPS tool. PRISMA guidelines were followed. Results The initial search yielded 155 references. Thirty-four studies, involving a total of 3454 PD patients, were included in the final analysis. The mean pooled age was 67.6 years, and 45.1% were women. PD patients presented mild motor impair- ment (UPDRS III score 27.8) with mean pooled disease duration of 5.7 years. Gait and balance disorders and history of prior falls emerged as the most consistent predictors of falls across studies. Disease duration, disease severity, dysautonomic symptoms, freezing of gait, frontal cognitive functions, and PD medication dosages yielded inconsistent findings. Conversely, dyskinesias, age, sex, and depression were unrelated to future falls in PD. Logistic regression models were most commonly employed to identify factors significantly associated with falls in PD. Substantial heterogeneity prevailed in the inclusion of confounding factors. Conclusion The evidence suggests that previous history of falls, gait disorders, and poor balance are robust prognostic markers for falls in PD. | es_ES |
dc.description.sponsorship | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Parkinson’s disease | es_ES |
dc.subject | falls | es_ES |
dc.subject | gait | es_ES |
dc.subject | balance | es_ES |
dc.subject | prognostic factors | es_ES |
dc.subject | freezing of gait | es_ES |
dc.title | Prognostic factors for falls in Parkinson’s disease: a systematic review | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © The Author(s) 2023. This 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/. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s13760-023-02428-2 | es_ES |
dc.identifier.doi | 10.1007/s13760-023-02428-2 | |
dc.departamentoes | Neurociencias | es_ES |
dc.departamentoeu | Neurozientziak | es_ES |
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Except where otherwise noted, this item's license is described as © The Author(s) 2023. This 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/.