ORBi: Zhang Lixin - Statistical analysis of serum protein electrophoresis results in External Quality Assessment schemes

Reference : Statistical analysis of serum protein electrophoresis results in External Quality Assess...


	Document type :	Scientific journals : Article
	Discipline(s) :	Human health sciences : Laboratory medicine & medical technology
	To cite this reference:	http://hdl.handle.net/2268/11818

Title :	Statistical analysis of serum protein electrophoresis results in External Quality Assessment schemes
Language :	English
Author, co-author :	Zhang, Lixin [Université de Liège - ULg > Département des sciences de la santé publique > Informatique médicale et biostatistique >]
	Van Campenhout, Christel [Scientific Institute of Public Health > Department of Clinical Biology > > >]
	Devleeschouwer, Nicole [Scientific Institute of Public Health > Department of Clinical Biology > > >]
	Libeer, Jean-Claude [Scientific Institute of Public Health > Department of Clinical Biology > > >]
	Albert, Adelin [Université de Liège - ULg > Département des sciences de la santé publique > Informatique médicale et biostatistique > >]
Publication date :	Mar-2008
Journal title :	Accreditation and Quality Assurance
Publisher :	Springer
Volume :	13
Issue/season :	3
Pages :	149-155
Audience :	International
ISSN :	0949-1775
e-ISSN :	1432-0517
City :	Berlin / Heidelberg
Country :	Germany
Keywords :	[en] Electrophoresis ; EQA schemes ; Outliers ; Robust statistics
Abstract :	[en] The goal of External Quality Assessment (EQA) schemes is to ensure that results obtained on a particular specimen in a given clinical laboratory are compatible with those obtained by other laboratories on the same specimen. Serum protein electrophoresis is a laboratory test consisting of five fractions (albumin, a1, a2, b and c globulins), which sum up to 100% of total proteins. So far, in EQA schemes the five fractions have been analyzed separately as for ordinary tests like glucose or cholesterol. This approach does not consider the fractions as a whole and the linear relationship between them. A statistical approach has been developed to analyze EQA electrophoresis results from a global standpoint by using robust multivariate method to eliminate the effect of outlying profiles. As illustrated on electrophoretic data from the Belgian EQA scheme, the novel approach improves the detection of poor performing laboratories. The method will be implemented in the Belgian EQA scheme on a routine basis.
Permalink :	http://hdl.handle.net/2268/11818
DOI :	10.1007/s00769-008-0388-4

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