Predictive Model of Quality of Life in Patients with Parkinson’s Disease
Parkinson’s disease is a chronic, progressive, and disabling neurodegenerative disease which evolves until the end of life and triggers different mood and organic alterations that influence health-related quality of life. The objective of our study was to identify the factors that negatively impact...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/32956 |
| Acceso en línea: | https://www.mdpi.com/1660-4601/19/2/672 https://hdl.handle.net/10578/32956 |
| Access Level: | acceso abierto |
| Palabra clave: | Model predictive Parkinson’s disease PDQ-39 Quality of life |
| id |
ES_83a882bb14b534b3af8ccd276eca3fa4 |
|---|---|
| oai_identifier_str |
oai:ruidera.uclm.es:10578/32956 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Predictive Model of Quality of Life in Patients with Parkinson’s DiseaseCandel Parra, EduardoCorcoles Jiménez, María PilarDelicado Useros, VictoriaRuiz Grao, Marta CarolinaHernández Martínez, AntonioMolina Alarcón, MilagrosModel predictiveParkinson’s diseasePDQ-39Quality of lifeParkinson’s disease is a chronic, progressive, and disabling neurodegenerative disease which evolves until the end of life and triggers different mood and organic alterations that influence health-related quality of life. The objective of our study was to identify the factors that negatively impact the quality of life of patients with Parkinson’s disease and construct a predictive model of health-related quality of life in these patients. Methods: An analytical, prospective observational study was carried out, including Parkinson’s patients at different stages in the Albacete Health Area. The sample consisted of 155 patients (T0) who were followed up at one (T1) and two years (T2). The instruments used were a purpose-designed data collection questionnaire and the “Parkinson’s Disease Questionnaire” (PDQ-39), with a global index where a higher score indicates a worse quality of life. A multivariate analysis was performed by multiple linear regression at T0. Next, the model’s predictive capacity was evaluated at T1 and T2 using the area under the ROC curve (AUROC). Results: Predictive factors were: sex, living in a residence, using a cane, using a wheelchair, having a Parkinson’s stage of HY > 2, having Alzheimer’s disease or a major neurocognitive disorder, having more than five non-motor symptoms, polypharmacy, and disability greater than 66%. This model showed good predictive capacity at one year and two years of follow-up, with an AUROC of 0.89 (95% CI: 0.83–0.94) and 0.83 (95% CI: 0.76–0.89), respectively. Conclusions: A predictive model constructed with nine variables showed a good discriminative capacity to predict the quality of life of patients with Parkinson’s disease at one and two years of follow-up.MDPI202420242022info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://www.mdpi.com/1660-4601/19/2/672https://hdl.handle.net/10578/32956reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/329562026-05-27T07:36:41Z |
| dc.title.none.fl_str_mv |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| title |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| spellingShingle |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease Candel Parra, Eduardo Model predictive Parkinson’s disease PDQ-39 Quality of life |
| title_short |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| title_full |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| title_fullStr |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| title_full_unstemmed |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| title_sort |
Predictive Model of Quality of Life in Patients with Parkinson’s Disease |
| dc.creator.none.fl_str_mv |
Candel Parra, Eduardo Corcoles Jiménez, María Pilar Delicado Useros, Victoria Ruiz Grao, Marta Carolina Hernández Martínez, Antonio Molina Alarcón, Milagros |
| author |
Candel Parra, Eduardo |
| author_facet |
Candel Parra, Eduardo Corcoles Jiménez, María Pilar Delicado Useros, Victoria Ruiz Grao, Marta Carolina Hernández Martínez, Antonio Molina Alarcón, Milagros |
| author_role |
author |
| author2 |
Corcoles Jiménez, María Pilar Delicado Useros, Victoria Ruiz Grao, Marta Carolina Hernández Martínez, Antonio Molina Alarcón, Milagros |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Model predictive Parkinson’s disease PDQ-39 Quality of life |
| topic |
Model predictive Parkinson’s disease PDQ-39 Quality of life |
| description |
Parkinson’s disease is a chronic, progressive, and disabling neurodegenerative disease which evolves until the end of life and triggers different mood and organic alterations that influence health-related quality of life. The objective of our study was to identify the factors that negatively impact the quality of life of patients with Parkinson’s disease and construct a predictive model of health-related quality of life in these patients. Methods: An analytical, prospective observational study was carried out, including Parkinson’s patients at different stages in the Albacete Health Area. The sample consisted of 155 patients (T0) who were followed up at one (T1) and two years (T2). The instruments used were a purpose-designed data collection questionnaire and the “Parkinson’s Disease Questionnaire” (PDQ-39), with a global index where a higher score indicates a worse quality of life. A multivariate analysis was performed by multiple linear regression at T0. Next, the model’s predictive capacity was evaluated at T1 and T2 using the area under the ROC curve (AUROC). Results: Predictive factors were: sex, living in a residence, using a cane, using a wheelchair, having a Parkinson’s stage of HY > 2, having Alzheimer’s disease or a major neurocognitive disorder, having more than five non-motor symptoms, polypharmacy, and disability greater than 66%. This model showed good predictive capacity at one year and two years of follow-up, with an AUROC of 0.89 (95% CI: 0.83–0.94) and 0.83 (95% CI: 0.76–0.89), respectively. Conclusions: A predictive model constructed with nine variables showed a good discriminative capacity to predict the quality of life of patients with Parkinson’s disease at one and two years of follow-up. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2024 2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://www.mdpi.com/1660-4601/19/2/672 https://hdl.handle.net/10578/32956 |
| url |
https://www.mdpi.com/1660-4601/19/2/672 https://hdl.handle.net/10578/32956 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
MDPI |
| publisher.none.fl_str_mv |
MDPI |
| dc.source.none.fl_str_mv |
reponame:RUIdeRA. Repositorio Institucional de la UCLM instname:Universidad de Castilla-La Mancha |
| instname_str |
Universidad de Castilla-La Mancha |
| reponame_str |
RUIdeRA. Repositorio Institucional de la UCLM |
| collection |
RUIdeRA. Repositorio Institucional de la UCLM |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869412151975739392 |
| score |
15,300719 |