Investigation and management of non‐infectious transfusion reactions
Notice bibliographique
Résumé
Appropriate management of non‐infectious adverse transfusion reactions begins with recognition that a change in clinical status during or following a transfusion may represent an adverse event. Appropriate monitoring of patients during transfusion and explicit training of staff to recognize the signs and symptoms of adverse transfusion reactions is the key to diagnosis and to management. As some reactions may occur in the hours following transfusion, patient education and instruction on reporting relevant symptoms are also important. The typical symptoms that herald the onset of a transfusion‐related adverse event include fever, rash, shock and respiratory distress. Haemoglobinuria may also be a presenting feature. Early signs or symptoms may reflect more than one type of reaction. All transfusionists must be aware of the steps in acute management of a suspected adverse transfusion reaction. For those events that occur while the transfusion is ongoing, stopping the infusion and maintaining the intravenous access are the important first step. Rapid evaluation of the patient's vital signs, a bedside check of the unit and patient identification, as well as assessment of the appearance of the blood component, are early steps. Supportive care based on the patient's signs and symptoms must occur while additional laboratory and clinical investigations are initiated. In most cases of transfusion‐related adverse events, a ‘posttransfusion’ blood sample should be evaluated for the possibility of serological incompatibility. In addition, most moderate and severe reactions would be investigated with a blood count, renal and liver function tests and assessment of urine for haemoglobin. Other specific investigations depend on the presenting features and initial serologic findings. Based on the clinical, laboratory and/or imaging studies, most transfusion‐related adverse events can be classified into one of the categories of acute transfusion reactions. These include acute haemolytic transfusion reactions, febrile non‐haemolytic, allergic, anaphylactoid, septic, circulatory overload, hypotension and transfusion‐related acute lung injury. Transfusion‐associated graft‐versus‐host disease and posttransfusion purpura can be considered in some circumstances and delayed haemolytic transfusion reactions may be seen in the days to week following a transfusion. This diagnostic classification is important in optimizing acute management and may also contribute to decisions about component selection for subsequent transfusion. Reporting of adverse transfusion events is also an important part of management. Reporting to the hospital blood bank assists with diagnosis and decisions regarding future blood component therapy. The hospital transfusion committee may monitor transfusion reaction rates and trends as a quality indicator that can be used to change practices. The blood supplier must be notified of all reactions which may be attributable to a particular donor or donor unit, especially if recall or quarantine of associated blood components may be necessary. Regional or national haemovigilance programmes may require notification and can contribute to changes in standard practices to address common or serious adverse transfusion events and in early recognition of uncommon complications.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 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) | 0,000 | 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 ».