Chapter 7

Spurious Counts and Spurious Results on Hematology Analyzers: Platelets

Marc Zandecki PhD

Marc Zandecki PhD

Laboratoire d'Hématologie, Centre Hospitalier Universitaire, Angers, France

Search for more papers by this author
Franck Genevieve MD

Franck Genevieve MD

Laboratoire d'Hématologie, Centre Hospitalier Universitaire, Angers, France

Search for more papers by this author
Jérémie Gérard PhD

Jérémie Gérard PhD

Laboratoire d'Hématologie, Centre Hospitalier Universitaire, Angers, France

Search for more papers by this author
Alban Godon MD

Alban Godon MD

Laboratoire d'Hématologie, Centre Hospitalier Universitaire, Angers, France

Search for more papers by this author
First published: 10 April 2012
Citations: 2

Summary

The widespread use of hematology analyzers has led to major improvements in cellular hematology because of the quick and accurate results that are obtained in most instances. However, in several situations spurious results are observed: inadequate blood samples, situations induced by the anticoagulant(s) being used, peculiar changes related to the pathology in the patient, and technical considerations about performances of the various hematology analyzers must be considered.

Spurious thrombocytopenia occurs in several circumstances related to the presence of ethylene diamine tetraacetic acid (EDTA) used as the anticoagulant. The mechanism of EDTA-dependent platelet agglutination is related to circulating (auto)antibodies directed against normally hidden epitope(s) in the glycoprotein αIIb/βIIIa complex from platelet membrane exposed only in the presence of EDTA. Other spuriously low platelet counts may be related to EDTA, including platelet rosetting around white blood cells (satellitism) and platelet-white blood cell aggregates, but mechanisms responsible for those latter phenomena are less well known.

A spurious increase in platelet count may be related to several situations, including fragmented red blood cells, cytoplasmic fragments of nucleated cells, cryoglobulins, bacteria or fungi, and lipids. Flags generated in several of these situations alert the operator to possible abnormal findings and may identify the problem. Analyzing only platelet parameters is not sufficient and in many situations the white cell differential scattergram is of crucial help for flagging abnormalities. The flags generated depend on the software version on the hematology analyzer used, the performance in detecting the same anomalies may differ according to which analyzer is used, even those from the same manufacturer. Operators must be aware of the characteristics of their analyzer and be able to recognize and circumvent anomalous results.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.