MétaCan
Menu
Back to cohort
Record 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 on OpenAlexaff
Vivian Uzoechi, Priyaleela Thota, Lisbel Gonzalez, Yordanos Divelbess, Sulatha Dwarakanath, Patrick T. McGann

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldEngineering
TopicBiosensors and Analytical Detection
Canadian institutionsProvidence Health Care
Fundersnot available
KeywordsFerritinIron deficiencyHemoglobinAnemiaIron-deficiency anemiaAntibodyImmunoassayThalassemia

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.254

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.254
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicBiosensors and Analytical DetectionFrench-language works237,207