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CD19 B cells, absolute count

Immunology & Autoimmune

Absolute B-cell countAbsolute CD19+ B cellsCD19 abs

Review status

Currently under review

Pending specialist review and validation.

What it shows

This test measures the absolute number of CD19 positive B lymphocytes in your blood using flow cytometry. CD45 is a marker that identifies white blood cells, and CD19 identifies B cells, the immune cells that help make antibodies.

The result tells your care team how many B cells you have per microliter of blood, which helps assess the status of your immune system and guides diagnosis and monitoring of conditions that affect B cells.

Why it matters

B cells are key for protecting you against infections by producing antibodies. Doctors order this test if you have frequent or unusual infections, poor responses to vaccines, or if you are being evaluated for an immune deficiency. It is also used to monitor recovery or suppression of B cells during and after treatments that target B cells, such as anti CD20 medicines, stem cell transplant, or chemotherapy.

Low counts may suggest reduced B cell production or increased loss due to inherited or acquired conditions, certain medications, or severe illness. High counts can occur during immune reconstitution, reactive states, or certain blood cancers. Understanding your B cell number alongside other labs and your symptoms helps your clinician decide next steps.

Understanding your results

Your result will be compared with the laboratory’s reference interval and interpreted with your age, clinical history, medications, and other immune tests. A lower than expected value does not by itself confirm a diagnosis. Your clinician may review your medications, check antibody levels or vaccine responses, repeat the test, or refer you to an immunology specialist.

If your count is higher than expected, your clinician may correlate with other blood counts, examine a broader lymphocyte subset panel, and consider additional tests if there are symptoms or abnormal findings. Most decisions are based on patterns over time and the whole clinical picture, not a single number.

Reference ranges

-- cells/ul
All sexes
0 days – 18 years
43396 cells/ul
All sexes
18 years – 150 years

Reference intervals vary by laboratory, analyzer, methodology, population, and units. The ranges shown here are for education only. Always interpret your results against the reference interval printed on your own lab report.

Factors that could impact CD19 B cells, absolute count

  • Recent anti-CD20 therapy

    Medicines such as rituximab or obinutuzumab deplete CD19 positive B cells and can keep counts very low for months; your result may reflect treatment effect rather than disease activity.

  • Steroids and immunosuppressants

    Corticosteroids, cytotoxic agents, and other immunosuppressive drugs can lower circulating B cell numbers or alter their distribution, influencing the measured count.

  • Recent infection or vaccination

    Acute infections and recent vaccines can transiently change lymphocyte subsets; mild, short term fluctuations in B cell counts may occur during recovery.

  • Age-related physiology

    Normal B cell numbers vary with age, especially in childhood and adolescence; interpretation always accounts for age-specific reference intervals.

  • Specimen handling and timing

    Flow cytometry requires a fresh, properly mixed anticoagulated blood sample; delays, clots, or improper storage can artifactually reduce viable cell counts.

  • Autoimmune disease and splenic status

    Active autoimmune conditions and prior splenectomy can alter circulating B cells; these clinical factors help explain unexpected results.

  • Pregnancy

    Physiologic changes in pregnancy can shift immune cell distributions; your clinician will interpret results in that context if applicable.

2026

References

  1. McGill University Health Centre. (2014, July 21). CD45CD19 Absolu (Task CD 14813245). Laboratory reference ranges.
  2. Clinical and Laboratory Standards Institute. (2019). H62: Enumeration of immunologically defined cell populations by flow cytometry (1st ed.). Wayne, PA: CLSI.
  3. Bonilla, F. A., Khan, D. A., Ballas, Z. K., et al. (2015). Practice parameter for the diagnosis and management of primary immunodeficiency. Journal of Allergy and Clinical Immunology, 136(5), 1186-1205.