Transfusion Managament in Cardiac Surgery in British Columbia: Review of 8352 Patients.
Notice bibliographique
Résumé
Abstract Abstract 2277 Background: Transfusion of blood products remains an essential intervention during hospitalization for cardiac surgeries. Published data reveal significant variability in the patterns of transfusion of blood products among different centers. In addition, published data suggest that allogenic transfusions are associated with worse outcomes in cardiac surgery patients. This project was conducted to investigate for significant variability in transfusion practices in the management of cardiac surgery patients in the 4 cardiac surgery centers within the province of British Columbia (BC). Secondary objectives include assessing for correlation of specific patient and surgical characteristics with risk of transfusion, in addition to comparing one-year mortality in patients who received transfusions with those who did not. Methods: A retrospective review of data collected through the BC Cardiac Registry (BCCR) was performed. All adult patients who underwent cardiac surgery in BC between January 1,2008 to December 31,2010 were included. The following patients were excluded: Jehovah's witnesses, heart transplantation recipients and patients who underwent aortic aneurysm repair not including aortic valve surgery. In patients who underwent more that one surgery within 365 days, data were only collected for the first cardiac surgery. The following data were collected: age, gender, type of surgery, clinical urgency, institution, preoperative hemoglobin, preoperative eGFR, duration of cardio-pulmonary bypass and use of cell saver technology. Mortality data over 1 year post operatively and quantities of packed red blood cells (PRBCs), frozen plasma (FP), platelets and cryoprecipitate (cryo) transfused during surgery and within 30 days afterwards were also collected. Cardiac surgery centers were anonymized. Chi-square test and Fisher exact test were used to analyze variation in transfusion requirements. Kaplan-Meir curves will be created for estimation of survival. Multivariate regression analysis will be used to identify risk factors for transfusion. Results: After excluding patients as outlined above, 8352 patients were included in the analysis. A summary of transfusion rates of different blood products in different types of cardiac surgeries among different centers is summarized in table 1. Statistical analysis is currently in progress to assess for association between transfusion of blood products and survival, in addition to multivariate analysis to identify risk factors for transfusion. Conclusions: Significant differences are noted in transfusion requirement of PRBCs, FP and platelets during and within 30 days of cardiac surgery among the four different cardiac surgery centers in British Columbia. The differences are not accounted for by surgery type alone. Further research is required to identify factors to account for the observed variability. Consideration will be made for development of further measures for standardization of transfusion management in this patient group. Disclosures: No relevant conflicts of interest to declare.
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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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».