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Comar SR, Spiri BS, Ferreira DS, de Azambuja AP. Early detection of Candida parapsilosis sepsis in peripheral blood as a result of cytografic changes on the Sysmex XN-3000 hematology analyzer. Int J Lab Hematol 2021; 43:e280-e283. [PMID: 33973721 DOI: 10.1111/ijlh.13566] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/11/2021] [Accepted: 04/15/2021] [Indexed: 01/25/2023]
Affiliation(s)
- Samuel Ricardo Comar
- Universidade Federal do Paraná, Complexo Hospital de Clínicas, Laboratório de Hematologia, Curitiba, Brasil
| | - Beatriz Sanada Spiri
- Universidade Federal do Paraná, Complexo Hospital de Clínicas, Laboratório de Hematologia, Curitiba, Brasil
| | - Diésica Suiane Ferreira
- Universidade Federal do Paraná, Complexo Hospital de Clínicas, Laboratório de Hematologia, Curitiba, Brasil
| | - Ana Paula de Azambuja
- Universidade Federal do Paraná, Complexo Hospital de Clínicas, Laboratório de Citometria de Fluxo, Curitiba, Brasil
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Alcaide Martín MJ, Altimira Queral L, Sahuquillo Frías L, Valiña Amado L, Merino A, García de Guadiana-Romualdo L. Automated cell count in body fluids: a review. ADVANCES IN LABORATORY MEDICINE 2021; 2:149-177. [PMID: 37363326 PMCID: PMC10197423 DOI: 10.1515/almed-2021-0011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 12/21/2020] [Indexed: 06/28/2023]
Abstract
Body fluid cell counting provides valuable information for the diagnosis and treatment of a variety of conditions. Chamber cell count and cellularity analysis by optical microscopy are considered the gold-standard method for cell counting. However, this method has a long turnaround time and limited reproducibility, and requires highly-trained personnel. In the recent decades, specific modes have been developed for the analysis of body fluids. These modes, which perform automated cell counting, are incorporated into hemocytometers and urine analyzers. These innovations have been rapidly incorporated into routine laboratory practice. At present, a variety of analyzers are available that enable automated cell counting for body fluids. Nevertheless, these analyzers have some limitations and can only be operated by highly-qualified laboratory professionals. In this review, we provide an overview of the most relevant automated cell counters currently available for body fluids, the interpretation of the parameters measured by these analyzers, their main analytical features, and the role of optical microscopy as automated cell counters gain ground.
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Affiliation(s)
- María José Alcaide Martín
- Committee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain
- Hematologic Biology Committee, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain
| | - Laura Altimira Queral
- Committee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain
| | - Laura Sahuquillo Frías
- Committee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain
| | - Laura Valiña Amado
- Committee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain
| | - Anna Merino
- Hematologic Biology Committee, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain
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Favresse J, Boland L, Schellen M, Fervaille C, Wuestenberghs F, Camboni A, Chatelain B, Mullier F, Defour JP, Jacqmin H. Two-site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN-1000 body fluid analyzer. Int J Lab Hematol 2020; 42:544-551. [PMID: 32163671 DOI: 10.1111/ijlh.13187] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 02/12/2020] [Accepted: 02/23/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The presence of high fluorescent cells (HF-BF) on the Sysmex XN-1000 hematology analyzers has gained interest regarding the prediction of malignant cells in body fluids, but lacks sensitivity. We aimed to increase this sensitivity by combining HF-BF value, automated results, and clinical information. METHODS We evaluated a new workflow for the management of body fluids in the hematology laboratory, including the HF-BF criterion and clinical information. In two laboratories, 1623 serous fluids were retrospectively analyzed on the XN-1000 BF mode. All samples were morphologically screened for malignant cells. Optimal HF-BF cutoffs were determined to predict their presence. Thereafter, the added value of clinical information was evaluated. Other reflex testing rules (eosinophilic count >5% and presence of the WBC Abnormal Scattergram flag) were also used to refine our workflow. RESULTS Optimal HF-BF cutoffs in the two hematology centers were 108 and 45 cells/µL, yielding a sensitivity/specificity of 66.7/93.6% and 86.8/66.6% for malignant cell detection. When adding clinical information, sensitivity/specificity evolved to 100.0/68.9% and 100.0%/not determined. Of 104 samples containing malignant cells, 97 had positive clinical information; the remainder had a HF-BF > cutoff. CONCLUSION Combining clinical information and HF-BF reached 100% sensitivity for malignant cell detection in body fluid analysis. Lack of robustness of the optimal HF-BF cutoff deserves the use of local cutoffs. Rapid automated results reporting from the XN-1000 BF mode are also feasible in clinical practice. Prospective evaluation of the workflow is needed before its implementation in clinical practice.
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Affiliation(s)
- Julien Favresse
- CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium
| | - Lidvine Boland
- Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium
| | - Marie Schellen
- Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium
| | - Caroline Fervaille
- Pathology Department, CHU UCL Namur, Université catholique de Louvain, Yvoir, Belgium
| | - Fabien Wuestenberghs
- Department of Gastroenterology and Hepatology, CHU UCL Namur, Godinne University Hospital, UCLouvain, Yvoir, Belgium
| | - Alessandra Camboni
- Pathology Department, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium
| | - Bernard Chatelain
- CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium
| | - François Mullier
- CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium
| | - Jean-Philippe Defour
- Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.,Ludwig Cancer Research and de Duve Institute, Université catholique de Louvain, Brussels, Belgium
| | - Hugues Jacqmin
- CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium
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