Nutritional and social support enhance cognitive function in acute cerebral infarction patients
Notice bibliographique
Résumé
BACKGROUND Acute ischemic stroke (AIS) is a leading global cause of disability and mortality, with post-stroke cognitive impairment (PSCI) affecting 20%-40% of survivors. PSCI ranges from mild cognitive decline to dementia, severely hindering functional recovery, increasing healthcare costs, and elevating risks of recurrent stroke and death. While nutritional support aids neuronal repair and reduces oxidative damage, and social support alleviates psychological distress, existing studies often evaluate these interventions in isolation. This study investigates the combined effects of standardized nutritional intervention and structured social support on cognitive function, psychological status, and quality of life (QoL) in AIS patients with cognitive dysfunction, aiming to establish an integrated rehabilitation model. AIM To explore the effects of nutritional intervention and social support on the cognitive function and psychological status in patients with acute cerebral infarction complicated by cognitive dysfunction. METHODS A retrospective study was conducted. A total of 59 patients with acute cerebral infarction complicated by cognitive dysfunction from January 2023 to December 2023 were selected as the control group. Another 59 patients with the same condition were selected as the research group. The research group received standardized nutritional intervention and regular social support, including dietary guidance, nutritional supplementation, psychological counseling, and family support plans. The control group received routine medical care. Cognitive function, anxiety, depression, QoL, sleep quality, nutritional status, and family satisfaction were compared between the two groups. RESULTS The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) scores of the research group were higher than those of the control group, with statistically significant differences (P < 0.05). Pearson correlation analysis showed that increases in serum albumin (Alb), prealbumin (PAB), and hemoglobin (Hb) were all highly and significantly associated with improvements in MMSE and MoCA scores (P < 0.05). The Self-Rating Anxiety Scale and Self-Rating Depression Scale scores of the research group were lower than those of the control group, with statistically significant differences (P < 0.05). The scores of QoL dimensions in the research group were higher than those of the control group, with statistically significant differences (P < 0.05). The Pittsburgh Sleep Quality Index scores and total score of the research group were lower than those of the control group, with statistically significant differences (P < 0.05). The serum Alb, PAB, and Hb levels in the research group were higher than those of the control group, with statistically significant differences (P < 0.05). The Social Disability Screening Schedule scores of the research group were lower than those of the control group, with statistically significant differences (P < 0.05). The family satisfaction of the research group was significantly higher than that of the control group, with statistically significant differences (P < 0.05). CONCLUSION Nutritional intervention and social support significantly improved the cognitive function, psychological status, and QoL in patients with acute cerebral infarction complicated by cognitive dysfunction. These interventions reduced anxiety and depression symptoms, improved sleep and nutritional status, and enhanced the social adaptability of patients as well as family satisfaction.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».