Literature DB >> 25808236

Evaluation of new automated hematopoietic progenitor cell analysis in the clinical management of peripheral blood stem cell collections.

Ellinor I Peerschke1,2, Christine Moung1, Melissa S Pessin1, Peter Maslak1,3.   

Abstract

BACKGROUND: Successful peripheral blood stem cell transplantation (PBSCT) depends on the collection and infusion of adequate numbers of peripheral blood progenitor cells (PBPCs). Several predictors of PBPC yield are used currently, including white blood cell (WBC) count and CD34 analysis. This study evaluated the utility of the new automated hematopoietic progenitor cell count available on Sysmex XN hematology analyzers (XN-HPCs) in PBSCT. STUDY DESIGN AND METHODS: The performance characteristics of XN-HPC, CD34+, and WBC analysis were compared using 107 matched peripheral blood and apheresis samples.
RESULTS: Good correlation was observed between XN-HPC and CD34+ cell counts in peripheral blood (r = 0.88; slope, 0.81) and apheresis collections (r = 0.91; slope, 0.89). Moreover, peripheral blood XN-HPC and CD34 analysis showed comparable ability to predict successful PBPC harvests (≥2 × 10(6) CD34+ cells/kg). At a cutoff of 20 × 10(6) progenitor cells/L, peripheral blood XN- HPC and CD34 analysis both showed negative predictive values (NPVs) of 100% and positive predictive values (PPVs) of 55.4 and 63%, respectively. Using an optimized cutoff of 38 × 10(6) progenitor cells/L, derived from receiver operating characteristic analysis, the PPV for XN-HPC and CD34 analysis increased to 71.4 and 78.9%, respectively, with relatively unchanged NPVs (XN-HPC 97.7%, CD34+ 98.0%). In contrast, the correlation between peripheral blood WBC and CD34 analysis was poor (r = 0.48; slope, 669.85), and the peripheral blood WBC count (cutoff, 10 × 10(9) /L) was a poor predictor of PBPC harvest (NPV 60%, PPV 43.1%).
CONCLUSION: XN-HPC compares favorably with CD34 analysis and may be a surrogate for CD34 analysis to predict optimal timing of PBPC collections.
© 2015 AABB.

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Year:  2015        PMID: 25808236      PMCID: PMC4976989          DOI: 10.1111/trf.13078

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  34 in total

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Authors:  K Saigo; T Sugimoto; S Takeuchi; Y Kosaka; R Ryo; S Kumagai
Journal:  Acta Haematol       Date:  2000       Impact factor: 2.195

Review 2.  Understanding sensitivity and specificity with the right side of the brain.

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3.  Preharvest hematopoietic progenitor cell counts predict CD34+ cell yields in granulocyte-colony-stimulating factor-mobilized peripheral blood stem cell harvest in healthy donors.

Authors:  Shang-Hsien Yang; Tso-Fu Wang; His-Hsiu Tsai; Teng-Yi Lin; Shu-Hui Wen; Shu-Huey Chen
Journal:  Transfusion       Date:  2009-12-29       Impact factor: 3.157

4.  CD34- stem cells as the earliest precursors of hematopoietic progeny.

Authors:  R Huss
Journal:  Exp Hematol       Date:  1998-10       Impact factor: 3.084

5.  The absolute number of circulating CD34+ cells predicts the number of hematopoietic stem cells that can be collected by apheresis.

Authors:  R Schots; I Van Riet; S Damiaens; J Flament; P Lacor; Y Staelens; L Steenssens; B van Camp; M De Waele
Journal:  Bone Marrow Transplant       Date:  1996-04       Impact factor: 5.483

6.  Identification of hematopoietic stem cells by the SE-9000 automated hematology analyzer in peripheral blood stem cell harvest samples.

Authors:  K Takekawa; T Yamane; K Suzuki; M Hino; N Tatsumi
Journal:  Acta Haematol       Date:  1997       Impact factor: 2.195

7.  CD34 counts to predict the adequate collection of peripheral blood progenitor cells.

Authors:  S Armitage; R Hargreaves; D Samson; M Brennan; E Kanfer; C Navarrete
Journal:  Bone Marrow Transplant       Date:  1997-10       Impact factor: 5.483

8.  Mobilization of peripheral blood progenitor cells by chemotherapy and granulocyte-macrophage colony-stimulating factor for hematologic support after high-dose intensification for breast cancer.

Authors:  A D Elias; L Ayash; K C Anderson; M Hunt; C Wheeler; G Schwartz; I Tepler; R Mazanet; C Lynch; S Pap
Journal:  Blood       Date:  1992-06-01       Impact factor: 22.113

9.  Patient characteristics associated with successful mobilizing and autografting of peripheral blood progenitor cells in malignant lymphoma.

Authors:  R Haas; R Möhle; S Frühauf; H Goldschmidt; B Witt; M Flentje; M Wannenmacher; W Hunstein
Journal:  Blood       Date:  1994-06-15       Impact factor: 22.113

10.  Novel and rapid enumeration method of peripheral blood stem cells using automated hematology analyzer.

Authors:  R Tanosaki; T Kumazawa; A Yoshida; S Oguni; A Nakano; S Yamagata; N Takahashi; S Kurosawa; S W Kim; T Yamashita; S Mori; Y Heike; T Fukuda; Y Hamaguchi; H Tsuda
Journal:  Int J Lab Hematol       Date:  2013-12-27       Impact factor: 2.877

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1.  Rapid prediction of stem cell mobilization using volume and conductivity data from automated hematology analyzers.

Authors:  Carlos H Villa; Thomas Porturas; Mary Sell; Mark Wall; Gene DeLeo; Jenna Fetters; Sam Mignono; Leah Irwin; Wei-Ting Hwang; Una O'Doherty
Journal:  Transfusion       Date:  2017-12-11       Impact factor: 3.157

2.  Assessment of haematopoietic progenitor cell counting with the Sysmex® XN-1000 to guide timing of apheresis of peripheral blood stem cells.

Authors:  Francesco Dima; Erika Barison; Martina Midolo; Fabio Benedetti; Giuseppe Lippi
Journal:  Blood Transfus       Date:  2019-07-25       Impact factor: 3.443

3.  Peripheral Blood Stem Cell Harvest HPC Count Is an Effective Surrogate Marker for CD34+ Cell Count in Allogeneic Stem Cell Transplant Setting.

Authors:  Aisha Jamal; Mohammad Tahir Khan; Sadia Parveen; Qurratulain Rizvi; Tasneem Farzana; Uzma Zaidi; Munira Borhany; Saima Siddiqui; Saqib Hussain Ansari; Tahir Sultan Shamsi
Journal:  Transl Oncol       Date:  2020-05-11       Impact factor: 4.243

4.  Algorithms utilizing peripheral blood hematopoietic progenitor cell counts in lieu of some CD34+ cell counts predict successful peripheral blood stem cell collections with substantial time and cost savings.

Authors:  B W Steussy; M Capper; M D Krasowski; N S Rosenthal; A J Schlueter
Journal:  ISBT Sci Ser       Date:  2016-10-05
  4 in total

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