Blood Cancer Journal (Dec 2023)

Determining hemodilution in diagnostic bone marrow aspirated samples in plasma cell disorders by next-generation flow cytometry: Proposal for a bone marrow quality index

  • Jón Þórir Óskarsson,
  • Sæmundur Rögnvaldsson,
  • Sigrun Thorsteinsdottir,
  • Thor Aspelund,
  • Steinar Bragi Gunnarsson,
  • Guðlaug Katrín Hákonardóttir,
  • Guðrún Ásta Sigurðardóttir,
  • Ásdís Rósa Þórðardóttir,
  • Gauti Kjartan Gíslason,
  • Andri Ólafsson,
  • Jón Kristinn Sigurðsson,
  • Elías Eyþórsson,
  • Ásbjörn Jónsson,
  • Brynjar Viðarsson,
  • Páll Torfi Önundarson,
  • Bjarni A. Agnarsson,
  • Róbert Pálmason,
  • Margrét Sigurðardóttir,
  • Ingunn Þorsteinsdóttir,
  • Ísleifur Ólafsson,
  • Stephen Harding,
  • Juan Flores-Montero,
  • Alberto Orfao,
  • Brian G. M. Durie,
  • Thorvardur Jon Love,
  • Sigurdur Yngvi Kristinsson

DOI
https://doi.org/10.1038/s41408-023-00951-2
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Abstract Hemodilution of bone marrow (BM) aspirates is a limitation of multiparameter flow cytometry (MFC) in plasma cell disorders. There is a need for a validated approach for assessing sample quality and the distribution of non-plasma cell BM populations by MFC could provide a solution. We evaluated BM-associated cell populations, assessed by next-generation flow cytometry (NGF) and white blood cell (WBC) count in 351 BM aspirated samples from 219 participants with plasma cell disorders in the Iceland Screens, Treats, or Prevents MM study (iStopMM), as markers of hemodilution by their discriminatory ability between first and (generally more hemodiluted) second pull BM aspirated samples. The most discriminating markers were used to derive a novel BM quality index (BMQI). Nucleated red blood cells and myeloid precursors provided the greatest discriminatory ability between first vs second pull samples (area under the curve (AUC): 0.87 and 0.85, respectively), significantly better than B cell precursors (AUC = 0.64; p < 0.001), mast cells (AUC = 0.65; p < 0.001), and the BM WBC count (AUC = 0.77; p < 0.05). We generated a novel BMQI that is intrinsic to current NGF protocols, for evaluating quality of diagnostic BM samples and suggest the use of a BMQI scoring system for interpreting results and guiding appropriate actions.