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Iron Deficiency As a Common Treatable Cause of Chronic Normocytic Anemia

2014· article· en· W183222656 on OpenAlexaff
Justin CL Ho, Anthony K.C. Chan, Keith K Lau, Howard H.W. Chan

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsThrombosis and Atherosclerosis Research InstituteMcMaster University
Fundersnot available
KeywordsMedicineAnemiaMicrocytic anemiaMacrocytic anemiaIron deficiencyAnemia of chronic diseaseIron-deficiency anemiaInternal medicineGastroenterologyPediatricsSerum iron

Abstract

fetched live from OpenAlex

Abstract Introduction Normocytic anemia is a common type of anemia, with increasing prevalence in old age. However, diagnosing the etiology of normocytic anemia can be a challenge, as it is a clinical presentation for a vast variety of diseases. Physicians often commence extensive laboratory testing to exclude other differential diagnosis. Although nutritional (iron or vitamin B12/folate) deficiencies are typically associated with microcytic or macrocytic anemia, these deficiencies are readily treatable and iron deficiency is the most common form of anemia worldwide. Therefore, we would like to evaluate the prevalence of iron deficiency in patients initially presented with normocytic anemia. Methods This study is a retrospective chart review of patients being referred to an academic hematology clinic from 2003 to 2014 for further evaluation of chronic normocytic anemia without abnormalities in other cell lines. Following initial workup to ensure the absence of 1) mixed microcytic-macrocytic anemia, 2) reticulocytosis, and 3) low erythropoietin level, all patients received a therapeutic trial of iron orally or intravenously. A total of 125 patients (median age: 71 years, range: 24 – 97) had complete records before and after iron therapy for further analysis to determine the changes in hematological parameters and iron indexes. The patients were categorized by the severity of their anemia, as defined by pretreatment hemoglobin levels below a given age and gender-specific normal range: (1) Hb ≤ 10.0 g/L below normal (n = 54), (2) Hb 10.1 – 20.0 g/L below normal (n = 37), Hb 20.1 – 30.0 g/L below normal (n = 21) and Hb > 30.1 g/L below normal (n = 14). Furthermore, the WHO definition of an increase of Hb ≥ 5.0 g/L was used to signify a response to iron replacement, which might be associated with a subjective improvement in general well-beings. Results The overall response rate to iron replacement therapy was 85.6% (Fig. 1), and the anemia was fully corrected in 54.4% of the patients. The average pretreatment ferritin level for these patients was 127 μg/L (median: 85 μg/L, range 3 – 581 μg/L), which would generally not be considered indicative of iron deficiency. Additionally, the response rates among different subgroups were from 83% to 93% (Fig. 1), where the percentage of responders was similar when comparing the mild anemic group (Hb ≤ 10.0 g/L below normal) and the more severe anemic groups. In contrast, although more than 80% of patients with mild normocytic anemia achieved a normal Hb after iron replacement, only 30-40% of patients with moderate to severe anemia (> 10 g/L below normal) experienced a normalization of Hb after iron therapy. Conclusion This retrospective case series illustrates that iron deficiency is a common and treatable cause in patients with chronic normocytic anemia. Despite the dogma that patients are unlikely to be iron deficient with a ferritin level ≥ 100 ug/L, more than 80% of patients in this study had an increase in Hb ≥ 5 g/L when iron stores were replenished. The data also suggests that a therapeutic trial of iron replacement should be considered in patients with mild normocytic anemia before extensive workup. However, as the anemia was likely multifactorial in patients with more severe normocytic anemia (with Hb > 10 g/L below the normal range) the benefits of an iron replacement trial should be balanced against the risks of iron overload if patients ultimately require regular blood transfusion for other concomitant hematological disorders. Fig. 1: Percentage of patients showing an improvement in Hb (≥ 5 g/L) and those having a normalization of Hb after iron therapy Fig. 1:. Percentage of patients showing an improvement in Hb (≥ 5 g/L) and those having a normalization of Hb after iron therapy Disclosures No relevant conflicts of interest to declare.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.248
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations3
Published2014
Admission routes1
Has abstractyes

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