Medium-Chain Acyl-CoA Dehydrogenase Deficiency Disorder as a Cause of Acute Liver Failure in a 23-Month-Old Baby
Bibliographic record
Abstract
Fatty acid oxidation disorders are inborn metabolic defects caused by impaired beta-oxidation of fats within the mitochondria. This occurs due to a deficiency in the pathway of fatty acids into the mitochondria via carnitine. Although their incidence is not frequent, the clinical presence of this disorder often leads to morbidity and high mortality. Medium-chain acyl-CoA dehydrogenase (MCAD) deficiency is part of the large group of fatty acid oxidation disorders which has a high variability in clinical manifestations and in daily medical practice can be challenging to early and correctly diagnose. In this article, we present a 23-month-old boy with drowsiness, mild hypoglycemia, and rapid progression to acute liver failure as a consequence of this metabolic disorder. Once the diagnosis was confirmed, treatment was conducted following the guideline of hypoglycemia of the metabolic disorder of MCAD deficiency and its complications. The child was discharged in good condition and the follow-up after 6 months was successful. Further, we review the literature on this genetic condition and check on how they connect to our case. The article aims to focus on the early evaluation of the clinical signs that present from the underlying of this rare metabolic disorder and the importance of aggressive treatment to prevent complications that can be fatal for the patient.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".