Clinical Study on the Effect of Continuity of Care in CICU on Improving Cognitive Function and Psychological State in Patients with Heart Failure
Bibliographic record
Abstract
Objective: To analyze the effect of continuity of care in the cardiac intensive care unit (CICU) on improving cognitive function and psychological state in patients with heart failure (HF). Methods: A total of 112 chronic HF patients admitted to the CICU of Xuzhou Traditional Chinese Medicine Hospital from July 2022 to August 2024 were selected and randomly divided into two groups using the red and blue ball method: a control group (n = 56) and a study group (n = 56). The control group received routine CICU nursing management, while the study group received routine CICU nursing combined with continuity of care management. Cognitive function (using the Montreal Cognitive Assessment, MoCA), psychological state (using the Self-Rating Depression Scale, SDS, and Self-Rating Anxiety Scale, SAS), and quality of life (using the Minnesota Living with Heart Failure Questionnaire, MLHFQ) were compared between the two groups. Results: After the intervention, the cognitive function scores of the study group were significantly higher than those of the control group (P < 0.05). The SDS and SAS scores of the study group were significantly lower than those of the control group after the intervention (P < 0.05). The quality of life in the study group was also significantly better than in the control group (P < 0.05). Conclusion: CICU continuity of care can effectively improve cognitive function and psychological state in patients with HF, while also enhancing their quality of life.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".