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Enregistrement W4417069280 · doi:10.1182/blood-2025-599

From lab to field: Evaluation of a rapid, low-cost, point-of-care ferritin assay for detection of iron deficiency

2025· article· en· W4417069280 sur OpenAlexaff
Vivian Uzoechi, Priyaleela Thota, Lisbel Gonzalez, Yordanos Divelbess, Sulatha Dwarakanath, Patrick T. McGann

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueBiosensors and Analytical Detection
Établissements canadiensProvidence Health Care
Organismes subventionnairesnon disponible
Mots-clésFerritinIron deficiencyHemoglobinAnemiaIron-deficiency anemiaAntibodyImmunoassayThalassemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Iron deficiency (ID) is among the most common global hematologic disorders and a leading contributor to the global disease burden. Over 1/3 of individuals worldwide have iron deficiency anemia (IDA), with children and pregnant women living in low- and middle-income countries (LMICs) disproportionately impacted. The most sensitive and specific test to diagnose ID is measurement of serum ferritin, with values reflective of body iron stores. However, hemoglobin concentration is more commonly used as the primary screening test in both high- and low-resource settings due to its low cost, widespread availability, and ease of fingerstick-based point-of-care (POC) testing. While IDA is the most common cause, anemia in LMICs is often multifactorial, with overlapping causes including malaria, sickle cell disease, infections, and thalassemias. The Gazelle™ is a low-cost (~$500), battery-operated POC platform that has been validated across the world for diagnosing hemoglobinopathies using miniaturized electrophoresis. In this study, we evaluated the accuracy of the newly developed tool for this same Gazelle device to quantify serum ferritin. Methods: This study used de-identified, leftover clinical blood samples for which ferritin levels were previously measured using the Abbott Alinity system. Samples were collected under an IRB-approved protocol, stored cold, and tested on the Gazelle™ Ferritin fluorescent lateral flow immunoassay (FIA) within 48 hours. The Gazelle FIA uses antibody sandwich format with fluorescent detection. Ferritin in the sample binds to fluorescently labeled anti-ferritin antibodies on the conjugate pad, forming immune complexes that migrate via capillary action. These complexes are captured at the test line by immobilized anti-ferritin antibodies, while a control line confirms test validity. Fluorescence intensity at the test line is proportional to ferritin concentration and is quantitatively analyzed by the Gazelle Reader using pre-programmed algorithms. Results are available within 15 minutes at the POC. Results: To date, a total of 54 patient samples were collected and run in triplicate using whole blood on the Gazelle machine ferritin assay. Seven samples with ferritin values >500 ng/mL were excluded from the primary analysis to avoid data skewing. For the 47 remaining samples, the median ferritin concentration was 54 ng/mL (IQR 20-131, range 3-513). Notably, 22 samples had ferritin ≤ 50 ng/mL and 15 had ferritin ≤ 25 ng/mL, below common thresholds to diagnose ID. The assay demonstrated excellent internal reproducibility (alpha = 0.96) and strong correlation with the gold standard Alinity (r = 0.95, R² = 0.89). The average coefficient of variation was 10.5%. Among 45 runs for samples with ferritin values ≤25 ng/mL, a common threshold to define iron deficiency, Gazelle accurately reported values for these samples as ≤30 ng/mL for 93% of runs. For samples with ferritin >500 ng/mL, the assay identified 5/7 as >500 ng/mL, with the remaining 2 correctly flagged as high but below the assay's upper limit of detection. Discussion: These data demonstrate the initial feasibility and accuracy of the Gazelle device to quantify serum ferritin with values that approximate those obtained by the gold standard. This study provides important data to support the continued evaluation and optimization of this device for future use in LMICs to diagnose iron deficiency at the point of care. In combination with POC hemoglobin testing and testing with the Gazelle for both sickle cell disease and ferritin could result in a low-cost and rapid (<15 minutes) comprehensive step-wise screening strategy for anemia that could have tremendous implications in addressing the global burden of anemia and iron deficiency. There is a potential role for this tool in high resource settings as a screening tool by general pediatricians or obstetricians, who are still using hemoglobin as the screening tool for iron deficiency. Future testing will evaluate the accuracy of ferritin values as a screening tool for iron deficiency given that ferritin is an acute phase reactant and may be artificially elevated in the setting of other acute and chronic illnesses that are common in sub-Saharan Africa and other LMICs. In conclusion, these findings support further deployment and clinical validation of the Gazelle platform to address global gaps in anemia diagnosis and iron deficiency management.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,234
Score d'incertitude au seuil0,254

Scores Codex et Gemma par catégorie

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

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 Opus0,011
Tête enseignante GPT0,254
Écart entre enseignants0,243 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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
Publié2025
Routes d'admission1
Résumé présentoui

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