Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls
Introduction: Patients with subjective memory complaints (SMC) may include subgroups with different neuropsychological profiles and risks of cognitive impairment. Methods: Cluster analysis was performed on two datasets (n: 630 and 734) comprising demographic and neuropsychological data from SMC and...
| Autores: | , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | Dadun. Depósito Académico Digital de la Universidad de Navarra |
| Idioma: | inglés |
| OAI Identifier: | oai:dadun.unav.edu:10171/121965 |
| Acesso em linha: | https://hdl.handle.net/10171/121965 |
| Access Level: | acceso abierto |
| Palavra-chave: | Alzheimer’s disease Bayesian model averaging Biomarkers Cluster analysis Cognitive impair-ment Neuropsychological profiles Subjective memory complaints |
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Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controlsJiménez-Huete, A. (Adolfo)|||/items/835a290a-50ce-4e91-bd76-42946f89f501Villino-Rodríguez, R.Á. (Rafael Ángel)|||/items/21c8cd1b-0bcd-4181-9a14-3052d2fe478cRíos-Rivera, M.M. (Mirla)|||/items/ef9ddb68-7a94-49cf-a5a6-4a96d107e1a4Rognoni, T. (Teresa)|||/items/50d4c1e6-b17f-49d1-8de3-80d83dba81baMontoya-Murillo, G. (Genoveva)|||/items/760874d6-2e69-478b-a06d-df3421388bdcArrondo-Elizaran, C. (Carlota)|||/items/d946a393-4d8f-4796-b61c-de688bcf5191Zapata, C. (Carolina)|||/items/afa2d7b7-d625-4d29-9ccb-f4cd420b3991Rodriguez-Oroz, M.C. (María Cruz)|||/items/ba71432e-1a59-4a6d-87af-ba74627ba030Riverol-Fernández, M. (Mario)|||/items/d2bcd472-bb2a-4e9c-b381-00f4e363b24dAlzheimer’s diseaseBayesian model averagingBiomarkersCluster analysisCognitive impair-mentNeuropsychological profilesSubjective memory complaintsIntroduction: Patients with subjective memory complaints (SMC) may include subgroups with different neuropsychological profiles and risks of cognitive impairment. Methods: Cluster analysis was performed on two datasets (n: 630 and 734) comprising demographic and neuropsychological data from SMC and healthy controls (HC). Survival analyses were conducted on clusters. Bayesian model averaging assessed the predictive utility of clusters and other biomarkers. Results: Two clusters with higher and lower than average cognitive performance were detected in SMC and HC. Assignment to the lower performance cluster increased the risk of cognitive impairment in both datasets (hazard ratios: 1.78 and 2.96; Plog-rank: 0.04 and <0.001) and was associated with lower hippocampal volumes and higher tau/amyloid beta 42 ratios in cerebrospinal fluid. The effect of SMC was small and confounded by mood. Discussion: This study provides evidence of the presence of cognitive clusters that hold biological significance and predictive value for cognitive decline in SMC and HC. Highlights: Patients with subjective memory complaints include two cognitive clusters. Assignment to the lower performance cluster increases risk of cognitive impairment. This cluster shows a pattern of biomarkers consistent with incipient Alzheimer's disease pathology. The same cognitive cluster structure is found in healthy controls. The effect of memory complaints on risk of cognitive decline is small and confounded.John Wiley & Sons, Ltd.Dadun. Depósito Académico Digital Universidad de Navarra20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/121965reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/1219652026-06-21T12:47:57Z |
| dc.title.none.fl_str_mv |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| title |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| spellingShingle |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls Jiménez-Huete, A. (Adolfo)|||/items/835a290a-50ce-4e91-bd76-42946f89f501 Alzheimer’s disease Bayesian model averaging Biomarkers Cluster analysis Cognitive impair-ment Neuropsychological profiles Subjective memory complaints |
| title_short |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| title_full |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| title_fullStr |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| title_full_unstemmed |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| title_sort |
Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls |
| dc.creator.none.fl_str_mv |
Jiménez-Huete, A. (Adolfo)|||/items/835a290a-50ce-4e91-bd76-42946f89f501 Villino-Rodríguez, R.Á. (Rafael Ángel)|||/items/21c8cd1b-0bcd-4181-9a14-3052d2fe478c Ríos-Rivera, M.M. (Mirla)|||/items/ef9ddb68-7a94-49cf-a5a6-4a96d107e1a4 Rognoni, T. (Teresa)|||/items/50d4c1e6-b17f-49d1-8de3-80d83dba81ba Montoya-Murillo, G. (Genoveva)|||/items/760874d6-2e69-478b-a06d-df3421388bdc Arrondo-Elizaran, C. (Carlota)|||/items/d946a393-4d8f-4796-b61c-de688bcf5191 Zapata, C. (Carolina)|||/items/afa2d7b7-d625-4d29-9ccb-f4cd420b3991 Rodriguez-Oroz, M.C. (María Cruz)|||/items/ba71432e-1a59-4a6d-87af-ba74627ba030 Riverol-Fernández, M. (Mario)|||/items/d2bcd472-bb2a-4e9c-b381-00f4e363b24d |
| author |
Jiménez-Huete, A. (Adolfo)|||/items/835a290a-50ce-4e91-bd76-42946f89f501 |
| author_facet |
Jiménez-Huete, A. (Adolfo)|||/items/835a290a-50ce-4e91-bd76-42946f89f501 Villino-Rodríguez, R.Á. (Rafael Ángel)|||/items/21c8cd1b-0bcd-4181-9a14-3052d2fe478c Ríos-Rivera, M.M. (Mirla)|||/items/ef9ddb68-7a94-49cf-a5a6-4a96d107e1a4 Rognoni, T. (Teresa)|||/items/50d4c1e6-b17f-49d1-8de3-80d83dba81ba Montoya-Murillo, G. (Genoveva)|||/items/760874d6-2e69-478b-a06d-df3421388bdc Arrondo-Elizaran, C. (Carlota)|||/items/d946a393-4d8f-4796-b61c-de688bcf5191 Zapata, C. (Carolina)|||/items/afa2d7b7-d625-4d29-9ccb-f4cd420b3991 Rodriguez-Oroz, M.C. (María Cruz)|||/items/ba71432e-1a59-4a6d-87af-ba74627ba030 Riverol-Fernández, M. (Mario)|||/items/d2bcd472-bb2a-4e9c-b381-00f4e363b24d |
| author_role |
author |
| author2 |
Villino-Rodríguez, R.Á. (Rafael Ángel)|||/items/21c8cd1b-0bcd-4181-9a14-3052d2fe478c Ríos-Rivera, M.M. (Mirla)|||/items/ef9ddb68-7a94-49cf-a5a6-4a96d107e1a4 Rognoni, T. (Teresa)|||/items/50d4c1e6-b17f-49d1-8de3-80d83dba81ba Montoya-Murillo, G. (Genoveva)|||/items/760874d6-2e69-478b-a06d-df3421388bdc Arrondo-Elizaran, C. (Carlota)|||/items/d946a393-4d8f-4796-b61c-de688bcf5191 Zapata, C. (Carolina)|||/items/afa2d7b7-d625-4d29-9ccb-f4cd420b3991 Rodriguez-Oroz, M.C. (María Cruz)|||/items/ba71432e-1a59-4a6d-87af-ba74627ba030 Riverol-Fernández, M. (Mario)|||/items/d2bcd472-bb2a-4e9c-b381-00f4e363b24d |
| author2_role |
author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Dadun. Depósito Académico Digital Universidad de Navarra |
| dc.subject.none.fl_str_mv |
Alzheimer’s disease Bayesian model averaging Biomarkers Cluster analysis Cognitive impair-ment Neuropsychological profiles Subjective memory complaints |
| topic |
Alzheimer’s disease Bayesian model averaging Biomarkers Cluster analysis Cognitive impair-ment Neuropsychological profiles Subjective memory complaints |
| description |
Introduction: Patients with subjective memory complaints (SMC) may include subgroups with different neuropsychological profiles and risks of cognitive impairment. Methods: Cluster analysis was performed on two datasets (n: 630 and 734) comprising demographic and neuropsychological data from SMC and healthy controls (HC). Survival analyses were conducted on clusters. Bayesian model averaging assessed the predictive utility of clusters and other biomarkers. Results: Two clusters with higher and lower than average cognitive performance were detected in SMC and HC. Assignment to the lower performance cluster increased the risk of cognitive impairment in both datasets (hazard ratios: 1.78 and 2.96; Plog-rank: 0.04 and <0.001) and was associated with lower hippocampal volumes and higher tau/amyloid beta 42 ratios in cerebrospinal fluid. The effect of SMC was small and confounded by mood. Discussion: This study provides evidence of the presence of cognitive clusters that hold biological significance and predictive value for cognitive decline in SMC and HC. Highlights: Patients with subjective memory complaints include two cognitive clusters. Assignment to the lower performance cluster increases risk of cognitive impairment. This cluster shows a pattern of biomarkers consistent with incipient Alzheimer's disease pathology. The same cognitive cluster structure is found in healthy controls. The effect of memory complaints on risk of cognitive decline is small and confounded. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-01-01 2024 2024-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10171/121965 |
| url |
https://hdl.handle.net/10171/121965 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
John Wiley & Sons, Ltd. |
| publisher.none.fl_str_mv |
John Wiley & Sons, Ltd. |
| dc.source.none.fl_str_mv |
reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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Dadun. Depósito Académico Digital de la Universidad de Navarra |
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Dadun. Depósito Académico Digital de la Universidad de Navarra |
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15,811543 |