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Record W3131933030 · doi:10.1097/mph.0000000000002096

First Observation of HbM-Saskatoon at the Origin of Neonatal Cyanosis in a Tunisian Baby

2021· article· en· W3131933030 on OpenAlexaboutno aff
Emna Bouatrous, Sonia Nouira, Monia Ben Khaled, Monia Ouederni, Salem Abbes, Samia Menif, Houyem Ouragini

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMethemoglobinemiaMethemoglobinMutationPopulationPediatricsIncidence (geometry)Hemoglobin electrophoresisHemoglobinGeneticsInternal medicineGeneAnesthesiaBiology

Abstract

fetched live from OpenAlex

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.648
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.326
Teacher spread0.295 · 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 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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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