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Enregistrement W2162834356 · doi:10.1001/jama.288.12.1525

Red Blood Cell Transfusions in Critically Ill Patients

2002· letter· en· W2162834356 sur OpenAlexaboutno aff
Paul C. Hébert

Notice bibliographique

RevueJAMA · 2002
Typeletter
Langueen
DomaineMedicine
ThématiqueBlood transfusion and management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCritically illIntensive care medicineCritical illnessRed Blood Cell TransfusionBlood transfusionRed blood cellSurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

TRANSFUSIONS OF PACKED RED BLOOD CELLS (RBCS), a complex biological product prepared from donated blood, are unique in many respects when compared with other health interventions. Despite one of the worst epidemics in recent times being caused, in part, by transfusion of blood products in the 1980s, RBC transfusion remains an essential and frequently performed medical intervention. In the United States, 11.5 million units of blood were donated in 1997. Of all units donated yearly, it is estimated that 50% to 70% are transfused in the surgical setting. In this issue of THE JOURNAL, the international epidemiologic study by Vincent and colleagues highlights the frequent use of RBC transfusions in the intensive care unit (ICU). The Anemia and Blood Transfusion in Critical Care (ABC) investigators conducted a cross-sectional study during a 2-week period in November 1999 to evaluate transfusion practices involving 3534 patients from 146 western European ICUs. From a sample of 1136 of these patients, the investigators recorded the volume of blood drawn per day, and found that blood sampling occurs on average 4.6 times in the first few days of intensive care, and removes approximately 41 mL of blood per 24-hour period. Approximately 29% of patients had a hemoglobin concentration below 10 g/dL on admission to the ICU. The average pretransfusion hemoglobin concentration was 8.4 g/dL during this study, and 37% of patients received a blood transfusion during their ICU stay. The authors also observed a significant association between transfusions of RBCs and increased mortality. These data describe the prevalence of anemia and the use of RBCs as well as a relationship between transfusions and adverse outcomes in critically ill patients. The study results show that the average hemoglobin concentration prior to the administration of an RBC transfusion was lower than anticipated, and certainly lower than average values recorded in Canadian ICUs in 1993. Vincent et al hypothesize that pretransfusion hemoglobin concentrations were lower than those recorded in the past, perhaps because of the influence of the Canadian, multicenter, randomized Transfusion Requirements in Critical Care (TRICC) trial, which failed to show a mortality advantage with RBC transfusion. While it is plausible that RBC transfusion triggers may now be lower than previously observed, this hypothesis is not based on direct comparisons of transfusion data before and after publication of the TRICC trial, adjusting for other factors. The most controversial finding in the report by Vincent et al is the association between mortality and RBC transfusions. The investigators used a matching strategy based on propensity scores to define 2 well-balanced groups, to control for the confounding created by illness severity and the need for transfusions (ie, confounding by indication), and to determine the influence of RBC transfusions on mortality. Using this approach, the associated risk of death was increased 33% for patients who received a transfusion compared with similar patients who did not receive blood. However, the lower boundary of the 95% confidence interval (CI) bordered on unity, suggesting that these results might be modified by many factors and thus may not be robust under all circumstances. For example, the results may differ if the propensity scores were derived separately for categories of pretransfusion hemoglobin concentrations ( 8.0, 8.0-10.0, and 10.0 g/dL) instead of hemoglobin concentration at ICU admission. It is improbable that the observed 33% increase in mortality is proportional at all hemoglobin levels (eg, 6.0 g/dL), or transfusions would never be recommended. In another observational study of 78974 Medicare records of patients with acute myocardial infarction, Wu et al suggested that RBC transfusions were beneficial, rather than harmful, when hematocrit values were less than 33%. These investigators observed that blood transfusion was associated with a reduction in 30-day mortality for patients who received at least 1 RBC transfusion if their admitting hematocrit value was less than 33%. For instance, compared with patients who did not receive RBC transfusion, patients with an admitting hematocrit value between 5% and 24% had a significantly lower risk of death (adjusted odds ratio, 0.22; 95% CI, 0.11-0.45) following blood transfusion. This study, and the accompanying editorial, recommended adoption of high hematocrit values as transfusion triggers, despite infrequent RBC transfusions in patients with low hematocrit values and spurious associations between the severity of illness, the disease process, and the physician’s decision to administer RBCs. Group imbalances and spurious associations are threats to the validity of observational studies that attempt to assess the impact of treatments such as RBC transfusions on clinical outcomes,

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,104
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,223
Écart entre enseignants0,211 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations38
Publié2002
Routes d'admission1
Résumé présentoui

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