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Enregistrement W3095502010 · doi:10.1182/blood-2020-143345

Intravenous Iron Infusion Administration Schedule and Hematologic Response; A Single-Center Retrospective Cohort Study

2020· article· en· W3095502010 sur OpenAlexaffabout
Melissa T. Maltez, Johnathan Mack

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineDosingHemoglobinIntravenous ironAnemiaRetrospective cohort studyBlood transfusionSurgeryIron deficiencyAnesthesiaInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background: Clinical trials studying the efficacy of intravenous (IV) iron replacement have used a variety of dosing schedules, even for the same iron formulations and there isn't a clear standard for how IV iron replacement should be scheduled. Differences in iron absorption efficiency have been observed with different oral iron supplementation schedules but it is not known if the same is true for IV iron. The objective of this study was to evaluate the association between iron administration schedule and hemoglobin response in patients treated at a tertiary care center. Methods: Data was collected retrospectively using The Ottawa Hospital Data Warehouse (OHDW) capturing all iron infusions given at 3 local institutions between January 2007 and December 2018. Patients that received at least 2 intravenous iron infusions within 180 days of each other were included. A 'course' of iron replacement was defined as consecutive infusions with ≤180 days between doses. Patients transfused red blood cells within 90 days of the last iron infusion in each course were excluded. Patient age, sex, dose and formulation of administered, date of each iron infusion, and laboratory parameters from the period starting 3 months before the first infusion to 6 months after the last infusion were extracted for analysis. Patients were categorized into 4 groups based on the mean time between iron infusions in each course: 1-10 days, 11-20 days, 21-30 days, and >30 days. Achieving a maximum hemoglobin (Hb) 10 g/L or higher than the pre-infusion Hb was defined as a 'good' response. A logistic regression model was used to evaluate the association between interval between infusions and achieving a 'good' Hb response. The model was adjusted for sex, age, presence of chronic kidney disease (CKD), dose of iron per course, number of infusions per course, and number of courses. CKD was defined as having a serum creatinine >177 µmol/L. Iron sucrose, iron gluconate, and iron dextran were available for administration during the study period. Results: A total of 4350 patients were included in the analysis. These patients received a total of 6409 courses of iron replacement, with a median of 2 courses (interquartile range [IQR] 1-3) per patient, and 4 infusions (IQR 3-6) per replacement course. Infusions were given a median of 21.9 days (IQR 12-34) apart in each course, with a range of 1-179 days. Iron sucrose was given in most courses (81.6%), followed by iron gluconate (18.2%) and iron dextran (0.1%). Patient characteristics are summarized in Table 1 and laboratory values prior to the first infusion of each course are summarized in Table 2. The interval between iron infusions was associated with Hb response. Results of the logistic regression are summarized Table 3. Compared with patients receiving infusions every 10-20 days, patients receiving infusions more frequently or less frequently were less likely to achieve a good Hb response. Male sex was associated with increased odds of response, while increasing age, having CKD, and receiving more courses of iron were associated with decreased odds of response. Conclusions: In this single-center retrospective cohort analysis, an association between interval of iron infusions and hematologic response was observed. Patients given iron every 10-20 days more likely to achieve a good response compared with more, or less frequent dosing intervals. Strengths of this study include the large sample size, adjustment for sex, age, presence of CKD, and number of iron infusions and courses given. Transfused patients were excluded, so the hemoglobin response is attributable to iron replacement. The study has several important limitations. The clinical decision-making for the infusion schedule was not known and factors that went into this decision are a possible source of confounding (for example, ongoing bleeding). The suspected cause of iron deficiency was not known. Additionally, concomitant oral iron supplementation and iron infusions or transfusions occurring outside the study institution are unknowns and may influence to outcome. The hypothesis-generating findings suggest that the schedule of iron administration may play an important role in hematologic response to iron infusions. Disclosures No relevant conflicts of interest to declare.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,013
Tête enseignante GPT0,239
Écart entre enseignants0,226 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2020
Routes d'admission2
Résumé présentoui

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