First Observation of HbM-Saskatoon at the Origin of Neonatal Cyanosis in a Tunisian Baby
Bibliographic record
Abstract
Several causes are known to be at the origin of neonatal cyanosis among them methemoglobinemia is by inheritance of an hemoglobin (Hb) M variant. This is a rare condition never been reported in Tunisia so far. Here, we report a Tunisian newborn with refractory cyanosis since birth. As cardiac and respiratory diseases were ruled out, methemoglobinemia was suspected. Hematological parameters, concentration of methemoglobin, capillary electrophoresis, and amplification sequencing of the HBB gene were performed. Computational analysis was achieved by different in silico tools to investigate the mutation effect. The diagnosis was established by a raised MetHb, confirmed by the presence HbM-Saskatoon [Beta63 (E7) His>Tyr] by capillary electrophoresis and molecular analysis. The identified mutation occurred as a de novo mutation. In silico analysis confirmed the pathogenicity of the mutation. To our knowledge, this is the first time that this mutation has been reported in the Tunisian population. In view of its low incidence rate, clinicians might misdiagnose cyanosis caused by HbM, which can lead to inappropriate treatment and clinical complications. An up-to-date literature review of HbM disease is presented in this study.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".