Improving cognitive function after cardiac surgery: home-based computerised cognitive training (FACCT study)
Notice bibliographique
Résumé
Abstract Funding Acknowledgements Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Barts Charity Nurse / Allied Healthcare Professional Clinical Research Fellowship (MRC0229, Improving cognitive health after cardiac surgery) Background Postoperative cognitive dysfunction (POCD) occurs in up to 50% of patients after cardiac surgery. Despite extensive research, the underlying causes and pathophysiology are poorly understood. Further, definitive treatments for POCD are lacking. The focus of this doctoral work was to identify predictors of POCD, examine the effectiveness of existing cognitive interventions on improving cognitive function, and use the findings of both of these systematic reviews to design and develop a cognitive training programme in postoperative cardiac surgery patients. Objectives The aim of this study was to evaluate the feasibility and acceptability of a home-based computerised cognitive training programme in postoperative cardiac surgery patients. Methods This is a single-arm, non-blinded, feasibility and acceptability study involving adult (>18 years of age) patients admitted for first time elective cardiac surgery. Participants were required to complete an 8-week cognitive training programme (40 sessions [20 minutes/day, 5 days/week]), commencing one week postoperatively, and administered using their own computers or tablets. The Montreal Cognitive Assessment (MoCA), a brief test of global cognition, was administered preoperatively and after the training programme. Feasibility outcomes included recruitment and retention rates and adherence to the programme. Acceptability was assessed by the Theoretical Framework of Acceptability Questionnaire (TFA-Q) which was administered post-programme. Results In total, 95 patients were screened, 51 (53.7%) were eligible and approached, and 31 (60.8%) consented to participate. Of these, 29 participants enrolled in the cognitive training programme, 7 (24.1%) were female, 20 (69.0%) were white British, and the mean baseline MoCA was 26.9 (out of 30). Data collection is complete, final analysis will be complete for presentation prior to ACNAP 2023. Interim results suggest that home-based computerised cognitive training (CCT) is feasible in terms of recruitment rate (60.8%, exceeding the target of 50%) and acceptable (with 94.1% of those who completed the TFA-Q identifying CCT as acceptable). Other feasibility indicators measured include retention (58.6%) and adherence (31.0%). Conclusions A trial examining home-based computerised cognitive training appears feasible and acceptable to patients, although strategies to improve retention and adherence will need to be strengthened. If found to be beneficial, such a programme could offer an inexpensive and safe method of improving postoperative cognitive function.
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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 | 0,007 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,005 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,001 |
| 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 ».