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Enregistrement W3096010167 · doi:10.1182/blood-2020-143358

Association between Pre-Infusion Laboratory Characteristics and Hematologic Response in Patients Treated for Iron-Deficiency at a Tertiary Care Center

2020· article· en· W3096010167 sur OpenAlexaffabout
Melissa T. Maltez, Johnathan Mack

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueIron Metabolism and Disorders
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineTransferrin saturationAnemiaHemoglobinFerritinIron deficiencyGastroenterologySerum ironTotal iron-binding capacityIron-deficiency anemiaInternal medicineKidney diseaseSurgery

Résumé

récupéré en direct d'OpenAlex

Background :A panel of laboratory tests are used to diagnose iron deficiency anemia, including hemoglobin (Hb), mean cell volume (MCV), serum ferritin, total iron binding capacity (TIBC), and iron saturation (ISAT). Newer diagnostic biomarkers include reticulocyte hemoglobin (RHb). The association between these parameters and response to intravenous iron have not been well characterized. The aim of this study was to evaluate the associations between baseline laboratory values commonly used in diagnosis of iron-deficiency anemia and improvement in hemoglobin concentration (Hb). Methods :Data was collected retrospectively using The Ottawa Hospital Data Warehouse (OHDW) reflecting practices from 3 local institutions. Patients that received at least 1 intravenous iron infusion between 2007 and 2018 were included. Patients that received intravenous iron replacement with baseline hemoglobin and at least one hemoglobin measured after the last documented iron infusion were included. Patients transfused within 90 days of the last infusion were excluded. For patients that received more than one course of iron replacement, each course was included separately if the time between the last infusion of the earlier course and the first infusion of the later course were at least 180 days apart. The primary outcome was achieving a maximum change in Hb of ≥10 g/L after the last iron infusion. Logistic regression was used to measure the association between pre-infusion laboratory characteristics (Hb, mean cell volume [MCV], platelet and reticulocyte count, reticulocyte Hb, ferritin, total iron binding capacity [TIBC], and iron saturation [ISAT]), age, sex, and presence of chronic kidney disease (CKD[serum creatinine >177 µmol/L]) and the primary outcome. A multivariable logistic regression model was used to adjust for baseline characteristics and the primary outcome, adjusting for iron replacement characteristics. Results :Between 2007 and 2018, a total of 8326 patients were treated with intravenous iron replacement, of whom 7185 were not transfused 90 days before the last administered dose of iron. Baseline characteristics of these patients are summarized in Table 1. The median maximum post-infusion hemoglobin was 119 g/L (interquartile range [IQR] 107-30 g/L), with a median change from pre-infusion hemoglobin of 16 g/L (IQR 5-31). The maximum Hb was measured a median of 62 days (IQR 6-144 days) after the last infusion. Results of univariable (Table 2) and multivariable (Table 3) regression are shown in Tables 2 and 3, respectively. In the multivariable model, pre-infusion Hb was the only evaluated laboratory value associated with Hb response (OR 0.48 95% confidence interval (95%CI) 0.38-0.62, p<0.001). Presence of CKD (OR 0.35, 95%CI 0.19-0.66, p=0.001) and the number of infusions given per course (OR 1.33, 95%CI 1.15-1.53, p<0.001) were also associated with hematologic response. Conclusions:In this single-center, retrospective cohort of patients treated with intravenous iron replacement and not transfused red blood cells within 90 days of the last infusion, most evaluated baseline characteristics were not associated with achieving a ≥10 g/L improvement in Hb concentration. Baseline Hb concentration was associated with Hb response, with higher baseline Hb associated with a lower probability of a 'good' Hb response. The presence of CKD was also associated with lower chance of hematologic response. The study has several important limitations including the lack of diagnostic data relating to the need for iron infusions, concomitant oral supplementation, and potential infusions outside the study site. Pre-infusion laboratory values were missing for a large proportion of patients. The strengths of the study include the large sample size and broad inclusion criteria, allowing for increased generalizability. Further exploration of serum biomarkers in the prediction of hemoglobin responses in parenteral iron supplementation is warranted in prospective studies with scheduled laboratory measurements. 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)0,000
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,029
Score d'incertitude au seuil0,057

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
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 Opus0,007
Tête enseignante GPT0,233
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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