A new approach for diagnosing hematological malignancies using monocytosis workflow optimization and abnormal lymphocyte/blast flag of Sysmex XN series of blood count analyzers

Introduction Monocytosis Workflow Optimization rule set has been developed by using mono‐dysplasia‐score to determine reactive monocytosis and prevent unnecessary blood smear of these patients and for detection of chronic myelomonocytic leukemia cases during complete blood count. In our study, we ai...

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Published in:International journal of laboratory hematology 2020-12, Vol.42 (6), p.744-749
Main Authors: Kocaturk, Evin, Kusku Kiraz, Zeynep, Uskudar Teke, Hava, Demir, Sukru Saygin, Alatas, Ibrahim Ozkan
Format: Article
Language:English
Subjects:
Aged
Automation, Laboratory
Blood
blood cell count
Blood tests
Chronic myelomonocytic leukemia
Dysplasia
Female
Hematologic Neoplasms - blood
Hematologic Neoplasms - diagnosis
hematological malignancies
Hematology
Humans
Laboratories
leukemia
Leukocyte Count - instrumentation
Leukocyte Count - methods
Leukocyte Count - standards
Lymphocytes
Lymphocytes - metabolism
Male
Malignancy
Middle Aged
Monocytes
Monocytosis
mono‐dysphasia‐score
Myelomonocytic leukemia
Optimization
Prospective Studies
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Summary:Introduction Monocytosis Workflow Optimization rule set has been developed by using mono‐dysplasia‐score to determine reactive monocytosis and prevent unnecessary blood smear of these patients and for detection of chronic myelomonocytic leukemia cases during complete blood count. In our study, we aimed to examine the contribution of Monocytosis Workflow Optimization rule set. Methods Adult patients with monocyte count ≥1.0 103/µL and monocyte percentage ≥10% were included in our study. Blood smears were made from the samples in our laboratory. These smears were examined and patients were divided into two groups as reactive monocytosis or hematological malignancy. The groups were compared in terms of Monocytosis Workflow Optimization rule set and device flags. Results Twenty‐one patients had hematological malignancies of 155 patients who were included in our study. Monocytosis Workflow Optimization rule set suggested performing blood smear in 19 of the patients with hematological malignancy, and evaluated two patients as reactive monocytosis with 90.5% sensitivity and 76.9% specificity. There was an “abnormal lymphocyte/ blast” flag in 90.5% of patients with hematological malignancies and in patients whose Monocytosis Workflow Optimization rule set defined as reactive monocytosis and it was found that sensitivity and negative predictive value reached 100%. Conclusion Automated validation support systems and softwares developed especially for these systems make it possible to classify patients with their non‐specific findings, as a result both contributing to the reduction of laboratory workload and costs and assisting laboratory specialists and clinicians with adding value to laboratory results.
ISSN:1751-5521
1751-553X
DOI:10.1111/ijlh.13281