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Pseudothrombocytopenia: a laboratory artifact with potentially serious consequences
Mayo Clinic Proceedings
|February 1, 1984
Summary
Pseudothrombocytopenia, a falsely low platelet count, can be identified by examining blood smears and repeating counts using different anticoagulants or methods. Automated hematology analyzers can also detect EDTA-induced platelet clumping.
Area of Science:
- Hematology
- Clinical Pathology
- Laboratory Medicine
Background:
- Unexpected low platelet counts (thrombocytopenia) may indicate pseudothrombocytopenia.
- Pseudothrombocytopenia is an artifactual reduction in platelet count due to platelet clumping.
- It is crucial to differentiate true thrombocytopenia from pseudothrombocytopenia to ensure accurate diagnosis and treatment.
Purpose of the Study:
- To outline methods for suspecting and confirming pseudothrombocytopenia.
- To provide guidance on laboratory techniques for accurate platelet counting.
- To highlight the role of automated hematology analyzers in detecting EDTA-induced platelet clumping.
Main Methods:
- Examination of peripheral blood smears for platelet morphology and clumping.
- Repeating platelet counts using alternative anticoagulants (e.g., sodium citrate) or collection methods (e.g., finger-stick with phase microscopy).
- Analyzing histogram displays (Coulter) or X-Y scatter plots (Technicon H6000) from automated hematology analyzers.
Main Results:
- EDTA (ethylenediaminetetraacetic acid) is a common cause of in vitro platelet clumping, leading to spuriously low platelet counts.
- Blood smear examination can reveal EDTA-induced platelet aggregation.
- Automated analyzers with specific display features can alert operators to potential pseudothrombocytopenia.
Conclusions:
- Pseudothrombocytopenia should be considered in cases of unexpected low platelet counts without bleeding symptoms.
- A combination of smear review, repeat counting with different anticoagulants, and analyzer data interpretation is essential for accurate diagnosis.
- Proper laboratory techniques prevent misdiagnosis and inappropriate patient management.