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One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure

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Qualitative urinary organic acid analysis: methodological approaches and performance.

V Peters¹, S F Garbade, C D Langhans

¹University Children's Hospital, Division of Metabolic Diseases, Heidelberg, Germany. Verena.Peters@med.uni-heidelberg.de

Journal of Inherited Metabolic Disease

|November 6, 2008

Summary

Proficiency testing revealed variability in biochemical genetics laboratories’ performance for diagnosing inherited metabolic disorders via organic acid analysis. Consistent quality control and external assurance participation correlated with improved diagnostic accuracy.

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Area of Science:

Biochemical Genetics
Clinical Chemistry
Diagnostic Laboratory Science

Background:

Accurate diagnosis of inherited metabolic disorders relies on specialized biochemical genetics testing.
Urinary qualitative organic acid analysis is a key diagnostic method for these conditions.
Proficiency testing is crucial for ensuring laboratory performance and diagnostic reliability.

Purpose of the Study:

To evaluate the performance of laboratories conducting urinary organic acid analysis.
To identify factors contributing to performance variability in diagnosing inherited metabolic disorders.
To provide insights for improving diagnostic accuracy in biochemical genetics.

Main Methods:

A proficiency testing program involving 50 urine samples (patient and control) was conducted.
Results from 94 participating biochemical genetics laboratories were analyzed.
A questionnaire was used to correlate laboratory practices with performance outcomes.

Main Results:

Significant variability in laboratory performance was observed, both overall and for specific inherited metabolic disorders.
Easier detection for conditions like methylmalonic aciduria and Canavan disease; poorer detection for glutaric aciduria type II and others.
Laboratories using internal quality control (QC) and participating in external quality assurance (EQA) showed a trend towards better performance.

Conclusions:

Performance disparities exist among laboratories performing urinary organic acid analysis.
Consistent use of QC and participation in EQA schemes are associated with improved diagnostic performance.
Awareness of these factors is vital for clinicians and laboratories to minimize missed diagnoses.