Evidence map›Paper›PMID 42024203›Full record

ArticleEuropean journal of pediatrics2026

Prevalence and patterns of abnormal metabolic screening in pediatric acute encephalopathy: a PICU study from Egypt.

Marwa Ibrahem Abdelrazic, Mohamed S Hemeda, Manar Anwar Abd-Elaziz, Ahmed Roshdy Mahmoud, Ibtehal Saad Abuelela

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Article in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marwa Ibrahem AbdelrazicDepartment of Paediatrics, Faculty of Medicine, Minia University, El-Minia, Egypt.
Mohamed S HemedaDepartment of Forensic Medicine and Clinical Toxicology, Port Said University, Port Said, Egypt. mohamudsadawy@med.psu.edu.eg.ORCID http://orcid.org/0009-0005-2721-5591
Manar Anwar Abd-ElazizDepartment of Paediatrics, Faculty of Medicine, Minia University, El-Minia, Egypt.
Ahmed Roshdy MahmoudDepartment of Paediatrics, Faculty of Medicine, Minia University, El-Minia, Egypt.
Ibtehal Saad AbuelelaDepartment of Paediatrics, Faculty of Medicine, Minia University, El-Minia, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInborn errors of metabolism (IEMs) remain underrecognized in children presenting with acute non-infectious encephalopathy, where timely diagnosis and treatment can be lifesaving. This study sought to estimate the yield and spectrum of metabolic screening patterns suggestive of IEM among children with presumed non-infectious acute encephalopathy admitted to a tertiary pediatric intensive care unit in Egypt.

methodsFrom March 2023 to June 2024, we undertook and finalized a cross-sectional research study at the Minia University PICU. After initial clinical evaluation, cerebrospinal fluid (CSF) analysis did not support overt central nervous system infection; children with presumed non-infectious acute encephalopathy were enrolled. They underwent standardized clinical, laboratory, and neuroimaging workups. Metabolic screening comprised tandem mass spectrometry (TMS) of amino acids/acylcarnitines and urine organic acids by gas chromatography-mass spectrometry (GC-MS). N = 100 participants were included.

resultsAbnormal metabolic screening suggestive of an underlying IEM was identified in 26% (n = 26) of children with non-infectious encephalopathy (NIE). The most common abnormal profiles were amino acid disorders (38.5%), organic acidemias (34.6%), and fatty acid oxidation defects (26.9%). Overall mortality was 59%. Abnormal screening was associated with higher ammonia levels (median 176 vs 65 μmol/L; p < 0.001) and a higher frequency of cognitive delay, delayed motor development, and hypotonia (all p < 0.05). On ROC analysis, ammonia > 93.5 μmol/L predicted abnormal screening (sensitivity 84.6%, specificity 65%). In univariate logistic regression, higher serum ammonia, cognitive delay, and delayed motor development were associated with abnormal metabolic screening. In a parsimonious multivariable model, higher ammonia (adjusted OR 1.010, 95% CI 1.004-1.015; p = 0.001) and delayed motor development (adjusted OR 3.66, 95% CI 1.24-10.86; p = 0.019) remained independent predictors.

conclusionsAbnormal metabolic screening suggestive of IEMs comprises a substantial proportion of pediatric NIE in our setting. Early metabolic screening coupled with readily available biomarkers (notably ammonia) may help prioritize patients for confirmatory testing and timely management.

Indexed as

Brain DiseasesMetabolism, Inborn ErrorsChildChild, PreschoolCross-Sectional StudiesEgyptFemaleGas Chromatography-Mass SpectrometryHumansInfantIntensive Care Units, PediatricMaleMass ScreeningPrevalenceAcute encephalopathyForensic MedicineGC–MSInborn errors of metabolismMetabolic screeningMortality predictorsPostmortem Metabolic ScreeningSudden Unexplained DeathTandem mass spectrometry

Identifiers

PMID42024203
PMCPMC13106265

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