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Record W2753721866 · doi:10.5376/ijccr.2017.07.0010

Neonatal Hypocalcemic Convulsions Secondary to Vitamin D Deficiency

2017· article· en· W2753721866 on OpenAlexvenueno aff
S. Azzoug, Ilyes Bekkaye, F. Chentli, D. Meskine

Bibliographic record

VenueInternational Journal of Clinical Case Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVitamin deficiencyvitamin D deficiencyPediatricsVitamin D and neurologyVitaminEndocrinology

Abstract

fetched live from OpenAlex

Vitamin D deficiency is a major public health issue affecting large proportions of the population. Therefore, maternal vitamin D deficiency is not uncommon. Infants born to mothers who are deficient in vitamin D are at risk of developing vitamin D deficiency and hypocalcaemia. We reported here a case of neonatal hypocalcaemic seizures secondary to vitamin D deficiency. A 25-day old, full term male infant presented two episodes of generalized seizures. Laboratory investigations in blood, revealed low calcium level at 5.5 mg/dl, elevated phosphatemia level at 9.6 mg/dl and high parathormone (PTH) level at 133.4 pg/ml. Unfortunately 25 hydroxy vitamin D assay was not available in the infant but it was low in the mother at 12.9 ng/ml. The infant was commenced on vitamin D and calcium supplements during some weeks which allowed normalization of calcium levels. After several months of treatment cessation, the infant was doing well, and his development was according to his chronological. His calcium, phosphatemia and PTH levels were within normal ranges without any treatment. Hypocalcemia in this infant was presumably due to vitamin D deficiency as other causes were unlikely. Neonatal hypocalcaemic seizures are a rare presentation of vitamin D deficiency. This case could have been preventable had the mother been given vitamin D supplementation during pregnancy and early lactation.

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)0.003
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.086
GPT teacher head0.479
Teacher spread0.393 · 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.

Study designCase report
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
Published2017
Admission routes1
Has abstractyes

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