Evaluation of body fluid mode of Sysmex XN-9000 for white blood cell counts in cerebrospinal fluid

Roccaforte, Vincenzo; Daves, Massimo; Proserpio, Vanessa; Sciarini, Flavia; Sangiorgio, Rosella; Costanzo, Arcangelo; Pierro, Angela Maria Di; Ugo, Salvadori; Lippi, Giuseppe; Bonato, Claudio

doi:10.21037/jlpm.2018.02.01

Cited by 3 publications

(6 citation statements)

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“…Good performance for TC-BF, PMN-BF, MN-BF, NE-BF, LY-BF, and MO-BF + HF-BF has been published on the XN-BF module. [5][6][7][8][9]12,14,17 However, the current analyzer cannot directly identify the presence of MC. 9 To overcome this drawback, the use of HF-BF cells has gained interest in the literature.…”

Section: Discussionmentioning

confidence: 99%

“…Good performance for TC‐BF, PMN‐BF, MN‐BF, NE‐BF, LY‐BF, and MO‐BF + HF‐BF has been published on the XN‐BF module . However, the current analyzer cannot directly identify the presence of MC .…”

Section: Discussionmentioning

confidence: 99%

“…The BF module on the XN-1000 (Sysmex Corporation) represents a convenient platform for accurate and fast quantification of total nucleated cells by flow cytometry in multiple types of BF. [5][6][7][8] The advantages of BF analyzers are no sample preparation, reduced turnaround time (TAT), decreased biohazard exposure, low sample volume, low limits of detection (LOD) and quantification (LOQ), flagging system, and a differential module. [9][10][11] Multiple studies have already shown good performance of the XN-1000 for cell counting and the differential nucleated count.…”

Section: Introduction and Objec Tive Smentioning

confidence: 99%

“…[9][10][11] Multiple studies have already shown good performance of the XN-1000 for cell counting and the differential nucleated count. [5][6][7][8][12][13][14] However, it is currently still recommended to use manual methods in case of doubtful results or suspicion of MC. 9 In the same way as it has been performed for peripheral blood film review, 15,16 multiple authors have shown that several parameters on BF analyzers could be used to determine which BF needs microscopic examination (ME) and which does not (ie, white blood cells (WBC) Abn.…”

Section: Introduction and Objec Tive Smentioning

confidence: 99%

“…The advantages of BF analyzers are no sample preparation, reduced turnaround time (TAT), decreased biohazard exposure, low sample volume, low limits of detection (LOD) and quantification (LOQ), flagging system, and a differential module . Multiple studies have already shown good performance of the XN‐1000 for cell counting and the differential nucleated count . However, it is currently still recommended to use manual methods in case of doubtful results or suspicion of MC …”

Section: Introduction and Objectivesmentioning

confidence: 99%

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Two‐site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN‐1000 body fluid analyzer

Favresse

Boland

Schellen

et al. 2020

Int J Lab Hematology

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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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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introduction and Objec Tive Smentioning

confidence: 99%

Section: Introduction and Objec Tive Smentioning

confidence: 99%

Section: Introduction and Objectivesmentioning

confidence: 99%

See 3 more Smart Citations

Two‐site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN‐1000 body fluid analyzer

Favresse

Boland

Schellen

et al. 2020

Int J Lab Hematology

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Performance evaluation of the automated body fluid analysis of the new Sysmex XR haematology analyser

Van Laer,

Dedeene,

Gruwier

et al. 2023

Journal of Laboratory Medicine

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Objectives The cellular composition of body fluids (BF) provides insight into disease pathology and is an important diagnostic parameter. The well-established Sysmex XN haematology analyser (XN) offers automated BF analysis and is in routine use in many laboratories. In this study the performance of the new Sysmex XR analyser (XR) in testing BF is compared to the XN. Methods Cerebrospinal, pleural, peritoneal, and synovial fluids, as well as bronchoalveolar lavage (BAL) samples, were processed in BF mode on both analysers. Standard statistical methods were used to evaluate the performance of XR compared to the reference XN. Results Cell counts were generated from a total of 356 measurements from 307 patient BF samples. After application of exclusion criteria, 86 cerebrospinal, 77 peritoneal, 78 pleural, and 89 synovial fluid sample pairs were compared. An excellent correlation coefficient (r) between the two analysers was observed for all diagnostic parameters; WBC-BF: 0.996, RBC-BF: 0.974, TC-BF: 0.995, MN#: 0.994, MN%: 0.830, PMN#: 0.985 and PMN%: 0.835. The research parameters also performed equally well (r values of 0.900–0.994). The performance of diluted and undiluted samples was equally good. Similar results for diagnostic and research parameters were obtained from 62 BAL samples (r values of 0.899–0.992). Conclusions This study demonstrates that the automated BF counts on the new Sysmex XR analyser are equivalent to that of the XN for all BF types analysed.

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Accuracy of Automated Cell Enumeration Method for Varying Concentration of WBCS for Various Body Fluid Samples

Brohi,

Shaikh,

Moiz

2023

Infect Dis J Pak

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Background: Body fluids (BF) including peritoneal, pericardial, pleural, synovial and cerebrospinal fluids are now being analyzed by fully automated methods that are replacing the manual methods. The aim of this study is to assess the accuracy of automated instrument at varying concentrations of WBCs of various body fluid samples. Material and Methods: This cross-sectional study was conducted at the section of Hematology, Department of Pathology and Laboratory Medicine, the Aga Khan University, Karachi, Pakistan from November 2020 to April 2021. Forty body fluid samples with suspicion of infection including peritoneal, pericardial, pleural, synovial and cerebrospinal fluids (CSF) were analyzed to verify accuracy of white blood cells counts on fully automated XN-1000TM hematology analyzer (Sysmex Corporation, Kobe, Japan) against Neubauer chamber method (a manual method of differentiating WBCs via microscopy). The culture results of the body fluid samples were also analyzed. EP Evaluator version 10.3.0.556 (Data Innovations, LLC, VT, US) was used for statistical analysis with other supporting statistics such as Correlation Coefficient (R), Bias, Mean and Standard Deviation were included. Results: Eleven (n=11) of forty (n=40) body fluid samples showed high WBC count above the normal range. Samples with normal WBC (n=29) were also included in accuracy study to assess instrument performance at varying concentration of analyte. An average Error Index of -0.27 (-0.99 to 0.74) for WBC was obtained. Microbiological cultures grew Escherichia. Coli in 1 and Acinetobacter species in 1 CSF samples and Staphylococcus Aureus in 1 pleural sample. Conclusion: The study verified accuracy of varying concentration of WBC counting by fully automated Sysmex XN-1000 analyzer for various body fluid samples. Keywords: Body fluids, Validation, Automated analyzer, Performance specifications, Accuracy verifications, High white blood count, Infectious.

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Evaluation of body fluid mode of Sysmex XN-9000 for white blood cell counts in cerebrospinal fluid

Cited by 3 publications

References 0 publications

Two‐site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN‐1000 body fluid analyzer

Two‐site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN‐1000 body fluid analyzer

Performance evaluation of the automated body fluid analysis of the new Sysmex XR haematology analyser

Accuracy of Automated Cell Enumeration Method for Varying Concentration of WBCS for Various Body Fluid Samples

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