How Much Furosemide Should be Administered to Prevent Transfusion-Associated Circulatory Overload? Results of a Dose-Finding Study
Notice bibliographique
Résumé
BACKGROUND: Transfusion-associated circulatory overload (TACO) is a common but under-reported complication of transfusion therapy, and results in significant morbidity and mortality. Pre-transfusion furosemide has been proposed as a mitigating strategy but has not received widespread endorsement, in part due to uncertainty regarding safe and effective dosing. An observational study was therefore conducted with the goal of creating a reliable dose-response curve in patients at high risk of TACO, using the statistical technique of Multiple Comparisons Procedure with Modelling (MCP-MOD). METHODS: Eligible patients were identified by screening bolus intravenous (IV) furosemide orders at two large academic hospitals. Eligibility criteria were selected to mimic those of a planned randomized controlled trial (RCT) of pre-transfusion furosemide for the prevention of TACO. Inclusion criteria were inpatients 50 years of age or older. Exclusion criteria were active bleeding, hemodynamic instability, glomerular filtration rate (GFR) < 30mL/min or need for dialysis, diuretic therapy (other than furosemide) administered less than 24 hours, furosemide (either IV or PO) administered less than 12 hours, or exogenous albumin administered less than 8 hours prior to index furosemide therapy. The primary outcome measure was the total volume of urine output in the six hours following IV furosemide administration. MCP-MOD analysis was performed after every 50 patients and continued until a weight-adjusted dose-response curve could be established with 100 mL precision, using the following covariates: age, sex, mean arterial pressure (MAP), serum albumin, GFR and history of chronic furosemide use. RESULTS: A total of 149 participants (53 female and 96 male) were enrolled over 2 years. As too few patients received doses exceeding 0.6 mg/kg to allow for a precise dose-response curve, only 132 patients receiving weight-adjusted doses ranging from 0.1 to 0.6 mg/kg were included in the MCP-MOD analysis. The characteristics of these patients are shown in Table 1. The dose-response curve formula that was derived from these patients was: Urine Output at 6 hours (mL) = 717.21 + 191.33 ln(dose (mg)/weight (kg)) + 0.73 × Age (years) + 103.37 × Sex (M=1/F=0) + 1.63 × GFR (ml/min) + 5.45 × MAP (mmHg) - 9.56 × albumin (g/L) - 62.31 × chronic diuretic use (Y=1/N-0) The curve with accompanying 95% confidence intervals is shown in Figure 1 This formula suggests that in an 80 kg patient with a GFR of 75 mL/min, a MAP of 85 mmHg, albumin of 40 g/L and no history of chronic diuretic use, 10 mg of IV furosemide should produce a diuresis of approximately 600 mL, sufficient to prevent circulatory overload from the transfusion of 1 unit of RBCs. A dose of 20 mg would be required to achieve a similar diuresis in patients with either a MAP < 60 mmHg, or a combination of both a GFR < 45 mL/min and a history of chronic diuretic use. CONCLUSIONS: A statistically precise dose-response curve for IV furosemide is possible with the inclusion of relevant clinical covariates, and can be used to guide dosing decisions in patients at risk of transfusion-associated circulatory overload. This formula derived from this study will inform the dosing recommendations of a planned RCT: Transfusion-Associated Circulatory Overload: Best Eliminated by Lasix® (TACO-BEL).
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 | 0,026 | 0,073 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».