Exposure To ABO Compatible But Non-Group Identical Blood and In-Hospital Mortality
Notice bibliographique
Résumé
Abstract Background Transfusions that are ABO compatible but not group identical (mismatched) are given for a variety of reasons including inventory availability, avoiding wastage from outdating, and clinical urgency. A recent observation at our centre suggested that patient outcome was different for those patients that received a transfusion of units with a compatible but mismatched ABO group compared to those receiving ABO group identical blood. Hence, we performed a retrospective hospital registry study to explore the association between mismatched blood and in-hospital mortality in transfused patients. Study Design Our patient/blood utilization database included 35,487 transfused hospitalized patients from 3 acute care academic centres from April 1, 2002 to October 31, 2011. Information on transfused RBCs included duration of storage (days) and ABO type. Patient data included: sex; age; hemoglobin; creatinine; diagnosis; interventions; ABO blood group and hospital discharge status. Factors associated with mismatched blood and in-hospital mortality were examined using generalized estimating equations to account for the potential serial dependence over multiple transfusions. The effect of exposure to ABO mismatched blood on in-hospital death was examined through Cox regression with time-dependent strata defined by: year of first admission; disease group; and the cumulative number of units transfused (≤ 7 days of storage; > 7 days but ≤ 28 days storage; and, >28 days of storage); and, controlling for available baseline and time-varying characteristics. Results 18,843 patients (blood groups A, B and AB), with complete covariates contributed to the analysis. Factors associated with transfusion of mismatched blood included: younger patient age (p<0.0001); lower hemoglobin (p<0.0001); higher creatinine (p<0.0001); intervention during hospitalization (OR=4.6, p<0.0001); and, patient ABO group whereby blood types A and B were much less likely to receive a mismatched unit compared to type AB patients (p<0.0001). There was a statistically significant interaction between patient blood type and the effect of receiving mismatched blood (p=0.034) with type A patients incurring a 79% higher risk of death (RR=1.79, 95% CI: 1.20, 2.67; p=0.0047); other patient blood types did not suggest increased risk. Similar results were observed when suspected trauma patients (≥ 6 units within 24 hours) were excluded from the analysis (Table 1). Conclusion Controlling for known potential confounders through Cox regression yielded evidence of increased risk of in-hospital mortality among blood type A patients receiving group O red cells. This association remained after suspected trauma patients were excluded from the analyses. Further study of the association observed in this study is warranted. Disclosures: Cook: CIHR: Research Funding. Heddle:CIHR: Research Funding; Canadian Blood Services: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Health Canada: Research Funding. Eikelboom:CIHR: Research Funding.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,002 | 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 ».