[Improving the quality of hematological studies using sigmametry.]

O V Petrova1,2, G R Shabanova1, O I Murygina1

  • 1Federal state budgetary establishment «Federal center cardiovascular surgery» (Astrakhan) Russia, 414011, Astrakhan, Russia.

Insights

Sigmetry analysis of hematology studies demonstrated good quality for most parameters. This quality control method can enhance the accuracy of platelet count determination in clinical laboratories.

Area of Science:

  • Clinical laboratory science
  • Hematology
  • Quality control

Background:

  • Hematology studies are crucial for diagnosing and monitoring various medical conditions.
  • Ensuring the accuracy and reliability of hematology test results is paramount for patient care.
  • Sigmetry provides a robust framework for evaluating analytical performance in laboratory testing.

Purpose of the Study:

  • To evaluate the implementation quality of hematology studies using sigmetry.
  • To assess the performance of hematology analyzers based on sigmetry metrics.
  • To determine optimal strategies for internal laboratory quality control.

Main Methods:

  • Daily monitoring of key hematology parameters: white blood cells, red blood cells, platelets, and hemoglobin.
  • Utilization of a certified three-level control material ('CBC-XE Hematology control') for laboratory quality control.
  • Analysis of data using sigmetry, calculating coefficient of variation (CV), systematic error (Bias), and total allowable analytical error (TE max).
  • Testing performed on 'Sysmex XT-2000i' and 'Sysmex XT-1800i' hematology analyzers.

Main Results:

  • On the 'Sysmex XT-2000i' analyzer, sigmetry values for platelets ranged between 3 and 4.
  • For white blood cells, red blood cells, and hemoglobin on the 'Sysmex XT-2000i', sigmetry values exceeded 4.
  • On the 'Sysmex XT-1800i' analyzer, sigmetry values for platelets, white blood cells, red blood cells, and hemoglobin were all greater than 4.
  • The results provide a basis for selecting appropriate control materials and frequency for internal quality control.

Conclusions:

  • Sigmetry analysis indicates acceptable to excellent quality for most hematology parameters tested.
  • The implementation of sigmetry in daily laboratory activities can improve the quality of platelet count determination.
  • Further observation is recommended to fully validate the impact of sigmetry on platelet count accuracy.

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