Predictors of Cognitive Functions After Stroke Assessed Using the Wechsler Adult Intelligence Scale: A Retrospective Study.

Alzheimer’s disease WAIS-R cognitive impairment predictor stroke

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
14 Feb 2024
Historique:
medline: 16 2 2024
pubmed: 16 2 2024
entrez: 16 2 2024
Statut: aheadofprint

Résumé

The mechanism(s) of cognitive impairment remains complex, making it difficult to confirm the factors influencing poststroke cognitive impairment (PSCI). This study quantitatively investigated the degree of influence and interactions of clinical indicators of PSCI. Information from 270 patients with PSCI and their Wechsler Adult Intelligence Scale (WAIS-RC) scores, totaling 18 indicators, were retrospectively collected. Correlations between the indicators and WAIS scores were calculated. Multiple linear regression model(MLR), genetic algorithm modified Back-Propagation neural network(GA-BP), logistic regression model (LR), XGBoost model (XGB), and structural equation model were used to analyze the degree of influence of factors on the WAIS and their mediating effects. Seven indicators were significantly correlated with the WAIS scores: education, lesion side, aphasia, frontal lobe, temporal lobe, diffuse lesions, and disease course. The MLR showed significant effect of education, lesion side, aphasia, diffuse lesions, and frontal lobe on the WAIS. The GA-BP included five factors: education, aphasia, frontal lobe, temporal lobe, and diffuse lesions. LR predicted that the lesion side contributed more to mild cognitive impairment, while education, lesion side, aphasia, and course of the disease contributed more to severe cognitive impairment. XGB showed that education, side of the lesion, aphasia, and diffuse lesions contributed the most to PSCI. Aphasia plays a significant mediating role in patients with severe PSCI. Education, lesion side, aphasia, frontal lobe, and diffuse lesions significantly affected PSCI. Aphasia is a mediating variable between clinical information and the WAIS in patients with severe PSCI.

Sections du résumé

Background UNASSIGNED
The mechanism(s) of cognitive impairment remains complex, making it difficult to confirm the factors influencing poststroke cognitive impairment (PSCI).
Objective UNASSIGNED
This study quantitatively investigated the degree of influence and interactions of clinical indicators of PSCI.
Methods UNASSIGNED
Information from 270 patients with PSCI and their Wechsler Adult Intelligence Scale (WAIS-RC) scores, totaling 18 indicators, were retrospectively collected. Correlations between the indicators and WAIS scores were calculated. Multiple linear regression model(MLR), genetic algorithm modified Back-Propagation neural network(GA-BP), logistic regression model (LR), XGBoost model (XGB), and structural equation model were used to analyze the degree of influence of factors on the WAIS and their mediating effects.
Results UNASSIGNED
Seven indicators were significantly correlated with the WAIS scores: education, lesion side, aphasia, frontal lobe, temporal lobe, diffuse lesions, and disease course. The MLR showed significant effect of education, lesion side, aphasia, diffuse lesions, and frontal lobe on the WAIS. The GA-BP included five factors: education, aphasia, frontal lobe, temporal lobe, and diffuse lesions. LR predicted that the lesion side contributed more to mild cognitive impairment, while education, lesion side, aphasia, and course of the disease contributed more to severe cognitive impairment. XGB showed that education, side of the lesion, aphasia, and diffuse lesions contributed the most to PSCI. Aphasia plays a significant mediating role in patients with severe PSCI.
Conclusions UNASSIGNED
Education, lesion side, aphasia, frontal lobe, and diffuse lesions significantly affected PSCI. Aphasia is a mediating variable between clinical information and the WAIS in patients with severe PSCI.

Identifiants

pubmed: 38363609
pii: JAD230840
doi: 10.3233/JAD-230840
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Wenlong Su (W)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
School of Health and Life Science, University of Health and Rehabilitation Sciences, Shinan District, Qingdao City, Shandong Province, China.

Hui Li (H)

Cheeloo College of Medicine, Shandong University, Lixia District, Jinan City, Shandong Province, China.
School of Health and Life Science, University of Health and Rehabilitation Sciences, Shinan District, Qingdao City, Shandong Province, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Hui Dang (H)

Cheeloo College of Medicine, Shandong University, Lixia District, Jinan City, Shandong Province, China.
School of Health and Life Science, University of Health and Rehabilitation Sciences, Shinan District, Qingdao City, Shandong Province, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Kaiyue Han (K)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Jiajie Liu (J)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Tianhao Liu (T)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Ying Liu (Y)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Zhiqing Tang (Z)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Haitao Lu (H)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.

Hao Zhang (H)

China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Fengtai District, Beijing, China.
School of Health and Life Science, University of Health and Rehabilitation Sciences, Shinan District, Qingdao City, Shandong Province, China.
Beijing Bo'ai Hospital, China Rehabilitation Research Center, Fengtai District, Beijing, China.
Cheeloo College of Medicine, Shandong University, Lixia District, Jinan City, Shandong Province, China.

Classifications MeSH