Enhancing Outcomes in Alzheimer's Disease: Exploring the Effects of a Diversified Rehabilitation Program Combined with Donepezil on Apathy, Cognitive Function, and Family Caregiver Burden
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Alzheimer's disease is a progressive neurodegenerative disorder characterized by cognitive decline, behavioral changes, and functional impairments. Apathy, a common symptom in Alzheimer's disease, refers to a lack of motivation, interest, and emotional responsiveness. It can significantly impact patients' quality of life and increase caregiver burden. This study aimed to determine the effects of a diversified rehabilitation program combined with donepezil on apathy, cognitive function, and family caregiver burden of Alzheimer's disease patients. METHODS: A total of 105 Alzheimer's disease patients treated at our hospital between January 2020 and January 2023 were selected and analyzed retrospectively. They were assigned to the control group (n = 50) or the observation group (n = 55). The two groups did not differ in terms of general data such as age and sex. All patients were treated with donepezil orally. The control group was given routine nursing, whereas the observation group was given a diversified rehabilitation program intervention, including cognitive training and emotional support. The Hasegawa's dementia scale, mini-mental state examination, and Montreal cognitive assessment scale were adopted to evaluate the cognitive function of the two groups before and after treatment. A caregiver burden scale, the Zarit Burden Interview (ZBI) and the Apathy Evaluation Scale Informant version (AES-I) were used to evaluate the caregiver burden and apathy of the two groups. RESULTS: A significantly higher overall response rate to treatment was found in the observation group (94.55%) than in the control group (80.00%) (p = 0.024). After treatment, scores on the Hasegawa's dementia scale, mini-mental state examination, and Montreal cognitive assessment scale of the two groups increased to varying degrees, with greater increases in the observation group than in the control group (p < 0.05). The ZBI and AES-I scores of the two groups decreased to different degrees after treatment, with greater decreases in the observation group than in the control group (p < 0.05). CONCLUSION: A diversified rehabilitation program combined with donepezil can substantially alleviate the apathy of Alzheimer's disease patients, improve their cognitive function, and reduce the burden on their families.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".