Features of structure and predictors of cognitive disorders in patients after cardiac surgery
Notice bibliographique
Résumé
Abstract Background Cognitive disorders (CDs) are the most common neurological complications in cardiac surgery. Understanding the predictors associated with the occurrence of CDs, identifying modified risk factors, can accelerate recovery, improve prevention and treatment algorithms after cardiac surgery. The aim - to determine the structure and predictors of CDs in patients before surgery and in the early postoperative period (3rd and 7th days). Methods 56 patients were examined, including 19 (33.9%) men (p=0.02). The average age of the patients was 60.86±8.87 years. Cardiac surgery was performed for coronary heart disease in 37 (66.1%) and valvular heart disease in 19 (33.9%) patients (p=0.02). The duration of the operation ranged from 240 to 600 minutes, averaging 371.94±102.04 minutes. In 25 (44.6%) cases, the operations were performed in conditions of cardiopulmonary bypass (CB), the average duration of which didn't differ from operations without CB (389.44±116.88 vs. 355.47±86.16, p=0.34). Testing was performed before surgery, on the 3rd and 7th day of the postoperative period using Montreal Cognitive Test. Statistical processing was performed using the statistical software package SPSS 12.0 for Windows. Results 75% of the patients already had mild CDs before surgery. The structure of CDs in the early postoperative period didn't differ from the data before surgery, however, there were patients with severe CDs (3.6% and 2% vs. 0%, p=0.05). In the structure of the CDs on the 3rd day of the postoperative period there were a significant decrease of visuospatial skills (4.07 vs. 3.7, p<0.001), ability to consistent calculation (2.66 vs. 2.45, p=0.02), repetition of the phrase (1.16 vs. 1.0, p=0.02). On the 7th day of the postoperative period, there were a significant decrease of verbal speed (0.48 vs. 0.32, p=0.006) and memory improvement (1.79 vs. 2.29, p=0.01). The probable predictors of CDs in the early postoperative period are: history of stroke – r=−0.282, p=0.04; presence of atherosclerotic plaques in the coronary arteries according to coronary angiography – r=−0.259, p=0.05; surgery with CB – r=0.29, p=0.03 and presence signs of dyslipidemia according to the lipid profile – r=−0.227, p=0.09. Conclusions 75% of the patients already had mild CD before surgery. The structure of CDs in the early postoperative period didn't differ from the data before surgery, however, there were patients with severe CD. In the structure of the CDs on the 3rd day of the postoperative period there were a significant decrease of visuospatial, ability to consistent calculation, repetition of the phrase. On the 7th day of the postoperative period, there were a significant decrease in verbal speed and memory improvement. Probable predictors of CDs in the early postoperative period are: history of stroke; presence of atherosclerotic plaques in the coronary arteries; surgery with CB and presence of signs of dyslipidemia. Funding Acknowledgement Type of funding sources: None.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| 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) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».