Iron-Refractory Iron Deficiency Anemia May Not Lead to Neurocognitive Dysfunction: A Case Report
Bibliographic record
Abstract
Iron deficiency is a common cause of anemia (IDA) in infancy and can be associated with neurocognitive impairments. Iron-refractory IDA (IRIDA) has recently been described as an inherited cause of IDA due to loss-of-function mutations in the TMPRSS6 gene. IRIDA is characterized by a lack of response to iron replacement. Here we report a new case of IRIDA with its biological parameters and its functional consequences, including neuropsychological impact. The latter was evaluated by the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition and subtests. We report a 5-year-old French Canadian boy who was incidentally diagnosed with a severe microcytic anemia at 2 years of age (hemoglobin 52 g/L, mean corpuscular volume 50 fL). Except mild pallor, he was asymptomatic of his anemia. Although he had a slight response to intravenous iron therapy, his hemoglobin remained <92 g/L, with persistent microcytosis, low serum iron, but normal ferritin levels. Blood hepcidin level was higher than those of his parents and control (patient 11.2 nM, father 9.06 nM, mother 4.07 nM). Compound heterozygosity for TMPRSS6 paternally inherited c.1324G>A and maternally inherited c.1807G>C mutations were eventually identified. The patient had normal development and growth. Neuropsychological evaluation revealed excellent performance, with high Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition scores (ie, 82nd percentile for both global intelligence and general ability index). In conclusion, TMPRSS6 c.1807G>C in conjunction with c.1324G>A results in IRIDA. In contrast to the usual form of IDA, IRIDA may not be associated with neuropsychological deficits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".