Study of Discriminating Markers for the Diagnosis of Chronic Lymphoid Leukemia and Evaluation of Matutes Scores

Authors

  • Abddaoui M Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco Author
  • Atassi M Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco Author
  • Tlemçani I Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco Author
  • Benrahou M Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco Author
  • El-Azami El-Idrissi M Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco Author
  • Amani Hassani M Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco Author

DOI:

https://doi.org/10.47363/JCCEM/2022(1)112

Keywords:

Chronic Lymphocytic Leukemia, Discriminating Markers, Diagnostic Score, Flow Cytometry

Abstract

The study of the expression level by lymphoma cells (MFI: mean fluorescence intensity) completed by ROC curve for diagnostic markers is a valuable aid for the daily interpretation of lymphocyte immunophenotyping as well as the differential diagnosis with other chronic lymphoproliferative B syndromes. The aim is to provide diagnostic guidance, increase the power of the diagnostic test based on the discriminating capacity of each marker and validate the value of the Matutes score adapted to our study population.

Materials and Methods: This is a technical validation study with retrospective recruitment of 91 patients diagnosed with B-CLL according to clinical, cytological and biological results. Statistical analysis is performed by the SPSS software.

Results: The ROC curve shows the discriminative power of each diagnostic marker. The combination of discriminatory markers (CD23, CD5, CD43) either in double or triple marking did not increase the power of the test; The diagnosis of B-CLL according to our threshold values is changed to a score value greater than or equal to 3.

Conclusion: The analysis of each marker, using the ROC curve allows us to identify the most discriminating markers useful to orient the diagnosis by
elaborating a diagnostic score.

Author Biographies

  • Abddaoui M, Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco

    Abddaoui M, Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco.

  • Atassi M, Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco

    Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco.

  • Tlemçani I, Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco

    Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco

  • Benrahou M, Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco

    Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco

  • El-Azami El-Idrissi M, Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco

    Laboratory of Epidemiology, Faculty of Medicine and Pharmacy of Fes, University Sidi Mohammed Ben Abdellah of Fez, Morocco.

  • Amani Hassani M, Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco

    Central Laboratory of Medical Analysis, Hassan II University Hospital Center of Fez, Morocco.

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Published

2025-12-04

Issue

Vol. 1 No. 4 (2022): Volume 1 Issue 4

Section

Articles