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Prevalence and patterns of abnormal metabolic screening in pediatric acute encephalopathy: a PICU study from Egypt
Marwa Ibrahem Abdelrazic1, Mohamed S Hemeda2, Manar Anwar Abd-Elaziz1
1Department of Paediatrics, Faculty of Medicine, Minia University, El-Minia, Egypt.
Insights
Inborn errors of metabolism (IEMs) are often missed in children with acute non-infectious encephalopathy. Metabolic screening identified IEMs in 26% of cases, highlighting the importance of early testing for timely diagnosis and treatment.
Area of Science:
- Pediatric Neurology
- Metabolic Disorders
- Critical Care Medicine
Background:
- Inborn errors of metabolism (IEMs) are frequently underdiagnosed in children with acute non-infectious encephalopathy (NIE).
- Prompt identification and intervention for IEMs are critical for improving patient outcomes.
- This study addresses the diagnostic yield of metabolic screening in this vulnerable pediatric population.
Purpose of the Study:
- To estimate the frequency and spectrum of IEMs suggested by metabolic screening in children with presumed NIE.
- To identify clinical and biochemical predictors of IEMs in this cohort.
- To evaluate the utility of early metabolic screening in a tertiary pediatric intensive care unit (PICU) setting in Egypt.
Main Methods:
- A cross-sectional study was conducted involving 100 children with NIE admitted to a PICU.
- Participants underwent comprehensive clinical, laboratory, and neuroimaging evaluations after excluding CNS infection.
- Metabolic screening included tandem mass spectrometry (amino acids/acylcarnitines) and GC-MS (urine organic acids).
Main Results:
- Abnormal metabolic screening suggestive of IEMs was found in 26% of children with NIE.
- Amino acid disorders (38.5%), organic acidemias (34.6%), and fatty acid oxidation defects (26.9%) were the most common IEM types.
- Higher ammonia levels (>93.5 μmol/L) and delayed motor development were independent predictors of abnormal metabolic screening.
Conclusions:
- Metabolic screening reveals a significant proportion of IEMs among children with NIE in this Egyptian PICU.
- Early metabolic screening, particularly utilizing biomarkers like ammonia, can aid in prioritizing patients for further diagnostic evaluation and management.
- Integrating metabolic screening into the workup of pediatric NIE is crucial for improving diagnostic accuracy and patient survival.
Background:
Inborn 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.
Methods:
From 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.
Results:
Abnormal 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.
Conclusions:
Abnormal 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.
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