Literature DB >> 27146437

Qualitative urinary organic acid analysis: 10 years of quality assurance.

Verena Peters1, James R Bonham2, Georg F Hoffmann3, Camilla Scott2, Claus-Dieter Langhans3.   

Abstract

Over the last 10 years, a total of 90 urine samples from patients with metabolic disorders and controls were circulated to different laboratories in Europe and overseas, starting with 67 laboratories in 2005 and reaching 101 in 2014. The participants were asked to analyse the samples in their usual way and to prepare a report as if to a non-specialist pediatrician. The performance for the detection of fumarase deficiency, glutaric aciduria type I, isovaleric aciduria, methylmalonic aciduria, mevalonic aciduria, phenylketonuria and propionic aciduria was excellent (98-100 %). Over the last few years, detection has clearly improved for tyrosinaemia type I (39 % in 2008 to over 80 % in 2011/2014), maple syrup urine disease (85 % in 2005 to 98 % in 2012), hawkinsinuria (62 % in 2010 to 88 % in 2014), aminoacylase I deficiency (43 % in 2009 to 73 % in 2012) and 3-methylcrotonyl-CoA carboxylase deficiency (60 % in 2005 to 93 % by 2011). Normal urines were mostly considered as normal (83-100 %), but laboratories often made additional diagnostic suggestions. When the findings were unambiguous, the reports were mostly clear. However, when they were less obvious, the content and quality of reports varied greatly. Repetition of organic acid measurements on a fresh sample was rarely suggested, while more complex or invasive diagnostic strategies, including further metabolic screening or biopsy were recommended. Surprisingly very few participants suggested referral from the general paediatrician to a specialist metabolic centre to confirm a diagnosis and, if applicable, to initiate treatment despite evidence suggesting that this improves the outcome for patients with inherited metabolic disorders. The reliability of qualitative organic acid analysis has improved over the last few years. However, several aspects of reporting to non-specialists may need discussion and clinicians need to be aware of the uncertainty inherent in all forms of laboratory diagnostic analysis.

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Year:  2016        PMID: 27146437     DOI: 10.1007/s10545-016-9941-1

Source DB:  PubMed          Journal:  J Inherit Metab Dis        ISSN: 0141-8955            Impact factor:   4.982


  5 in total

1.  Use of guidelines improves the neurological outcome in glutaric aciduria type I.

Authors:  Jana Heringer; S P Nikolas Boy; Regina Ensenauer; Birgit Assmann; Johannes Zschocke; Inga Harting; Thomas Lücke; Esther M Maier; Chris Mühlhausen; Gisela Haege; Georg F Hoffmann; Peter Burgard; Stefan Kölker
Journal:  Ann Neurol       Date:  2010-11       Impact factor: 10.422

2.  Quality assessment of urinary organic acid analysis.

Authors:  J R Bonham; M Downing; R J Pollitt; N J Manning; K H Carpenter; S E Olpin; J C Allen; E Worthy
Journal:  Ann Clin Biochem       Date:  1994-03       Impact factor: 2.057

3.  Qualitative urinary organic acid analysis: methodological approaches and performance.

Authors:  V Peters; S F Garbade; C D Langhans; G F Hoffmann; R J Pollitt; M Downing; J R Bonham
Journal:  J Inherit Metab Dis       Date:  2008-11-07       Impact factor: 4.982

4.  NMR spectroscopy of aminoacylase 1 deficiency, a novel inborn error of metabolism.

Authors:  Udo F H Engelke; Jörn Oliver Sass; Rudy N Van Coster; Erik Gerlo; Heike Olbrich; Stefan Krywawych; Jacqui Calvin; Claire Hart; Heymut Omran; Ron A Wevers
Journal:  NMR Biomed       Date:  2008-02       Impact factor: 4.044

5.  Quality control for selective screening of inborn errors of metabolism.

Authors:  F A Hommes
Journal:  Eur J Pediatr       Date:  1994       Impact factor: 3.183

  5 in total
  2 in total

1.  Fast and accurate quantitative organic acid analysis with LC-QTOF/MS facilitates screening of patients for inborn errors of metabolism.

Authors:  Irene M L W Körver-Keularts; Ping Wang; Huub W A H Waterval; Leo A J Kluijtmans; Ron A Wevers; Claus-Dieter Langhans; Camilla Scott; Daphna D J Habets; Jörgen Bierau
Journal:  J Inherit Metab Dis       Date:  2018-02-12       Impact factor: 4.982

Review 2.  The role of ERNDIM diagnostic proficiency schemes in improving the quality of diagnostic testing for inherited metabolic diseases.

Authors:  Déborah Mathis; Joanne Croft; Petr Chrastina; Brian Fowler; Christine Vianey-Saban; George J G Ruijter
Journal:  J Inherit Metab Dis       Date:  2022-05-23       Impact factor: 4.750

  2 in total

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