An analysis of the bias in red blood cell hemolysis measurement using several analytical approaches
JP Acker, IM Croteau, QL Yi - Clinica Chimica Acta, 2012 - Elsevier
JP Acker, IM Croteau, QL Yi
Clinica Chimica Acta, 2012•ElsevierBACKGROUND: Percentage hemolysis in red cell concentrates (RCC) for transfusion is an
indicator of RBC damage. As several factors need to be measured to determine hemolysis,
and multiple assays are available for each, the choice of analytical methodology could
critically influence results. METHODS: Hemolysis was measured in 48 RCCs every 7days
during storage including expiry (42days), with supernatant hemoglobin measured using the
reference Drabkin's cyanmethemoglobin method and the Harboe spectrophotometric …
indicator of RBC damage. As several factors need to be measured to determine hemolysis,
and multiple assays are available for each, the choice of analytical methodology could
critically influence results. METHODS: Hemolysis was measured in 48 RCCs every 7days
during storage including expiry (42days), with supernatant hemoglobin measured using the
reference Drabkin's cyanmethemoglobin method and the Harboe spectrophotometric …
BACKGROUND
Percentage hemolysis in red cell concentrates (RCC) for transfusion is an indicator of RBC damage. As several factors need to be measured to determine hemolysis, and multiple assays are available for each, the choice of analytical methodology could critically influence results.
METHODS
Hemolysis was measured in 48 RCCs every 7days during storage including expiry (42days), with supernatant hemoglobin measured using the reference Drabkin's cyanmethemoglobin method and the Harboe spectrophotometric method, total hemoglobin measured using Drabkin's method and 3 automated analyzers (ADVIA 120, CELL-DYN 1700, Coulter AcT), and hematocrit measured using traditional centrifugation and automated analyzers.
RESULTS
The choice of method affects hemolysis measurement. Biases ranging from −0.01–−0.03% were observed depending on the combination of methods used. Hematocrit measurement appeared to be a major determinant of bias, and the greatest bias was seen with the ADVIA 120 automated analyzer. Although results did not differ by a level thought to be of clinical significance, the choice of method will impact quality control pass/fail rates.
CONCLUSION
Although guidelines exist in many jurisdictions regarding acceptable hemolysis levels in RCCs, these are silent regarding the methods to be used. The presence of bias highlights the need for standardization of methodology.
Elsevier