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Scoring System for Detecting Spurious Hemolysis in Anticoagulated Blood Specimens

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Background: The identification of in vitro hemolysis (IVH) using a hematology analyzer is challenging because centrifugation of the specimens cannot be performed for cell counts. In the present study, we aimed to develop a scoring system to help identify the presence of hemolysis in anticoagulated blood specimens. Methods: Thirty-seven potassium EDTA anticoagulated blood specimens were obtained, and each specimen was divided into 3 aliquots (A, B, and C). Aliquots B and C were mechanically hemolyzed by aspirating 2 and 5 times, respectively, using a 27-gauge needle and then tested; aliquot A was analyzed immediately without any hemolysis. After the cells were counted, aliquots B and C were centrifuged and the supernatants were tested for the hemolytic index and lactate dehydrogenase levels. Results: The 4 hematologic parameters were selected and scored from 0 to 3 as follows:<34.0, 34.0-36.2, 36.3-38.4, and ≥38.5 for mean cell hemoglobin concentration (MCHC, g/dL); <0.02, 0.02, 0.03, and ≥0.04 for red blood cell ghosts (1012/L); <0.13, 0.13-0.38, 0.39-1.30, and ≥1.31 for difference value (g/dL) of measured hemoglobin and calculated hemoglobin; and <0.26, 0.26-0.95, 0.96-3.34, and ≥3.35 for difference value (g/dL) of MCHC and cell hemoglobin concentration mean. The hemolysis score was calculated by adding all the scores from the 4 parameters. At the cutoff hemolysis score of 3, the IVH of aliquots B and C were detected as 64.9% and 91.9%, respectively. Conclusions: The scoring system might provide effective screening for detecting spurious IVH.

Abstract

Background: The identification of in vitro hemolysis (IVH) using a hematology analyzer is challenging because centrifugation of the specimens cannot be performed for cell counts. In the present study, we aimed to develop a scoring system to help identify the presence of hemolysis in anticoagulated blood specimens. Methods: Thirty-seven potassium EDTA anticoagulated blood specimens were obtained, and each specimen was divided into 3 aliquots (A, B, and C). Aliquots B and C were mechanically hemolyzed by aspirating 2 and 5 times, respectively, using a 27-gauge needle and then tested; aliquot A was analyzed immediately without any hemolysis. After the cells were counted, aliquots B and C were centrifuged and the supernatants were tested for the hemolytic index and lactate dehydrogenase levels. Results: The 4 hematologic parameters were selected and scored from 0 to 3 as follows:<34.0, 34.0-36.2, 36.3-38.4, and ≥38.5 for mean cell hemoglobin concentration (MCHC, g/dL); <0.02, 0.02, 0.03, and ≥0.04 for red blood cell ghosts (1012/L); <0.13, 0.13-0.38, 0.39-1.30, and ≥1.31 for difference value (g/dL) of measured hemoglobin and calculated hemoglobin; and <0.26, 0.26-0.95, 0.96-3.34, and ≥3.35 for difference value (g/dL) of MCHC and cell hemoglobin concentration mean. The hemolysis score was calculated by adding all the scores from the 4 parameters. At the cutoff hemolysis score of 3, the IVH of aliquots B and C were detected as 64.9% and 91.9%, respectively. Conclusions: The scoring system might provide effective screening for detecting spurious IVH.

참고문헌 (7)

  1. Clinical Laboratory and Standards Institute, "Hemolysis, icterus, and lipemia", turbidity indices as indicators of interference in clinical laboratory analysis. Approved guideline, C56-A, 2012
  2. 신동훈, "Development of an Integrated Reporting System for Verifying Hemolysis, Icterus, and Lipemia in Clinical Chemistry Results", Annals of Laboratory Medicine, 34(4), pp.307~312 (2014), 대한진단검사의학회
  3. Lippi G, "Hemolyzed specimens: a major challenge for emergency departments and clinical laboratories", Crit Rev Clin Lab Sci, 48, pp.143~153 (2011)
  4. Vajpayee N, "Clinical diagnosis and management by laboratory methods", pp.509~535 (2011), WB Saunders
  5. Kunicka J, "Automated quantitation of hemoglobin-based blood substitutes in whole blood samples", Am J Clin Pathol, 116, pp.913~919 (2001)
  6. "ADVIA 2120", 2120i hematology systems operator’s guide, 2010
  7. Lippi G, "Identification of spurious hemolysis in anticoagulated blood with Sysmex XE-2100 and Siemens Advia 2120", Clin Lab, 58, pp.801~804 (2012)

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