A new approach for diagnosing hematological malignancies using monocytosis workflow optimization and abnormal lymphocyte/blast flag of Sysmex XN series of blood count analyzers
| Autor: | Zeynep Küskü Kiraz, Evin Kocatürk, Sukru Saygin Demir, İbrahim Özkan Alataş, Hava Üsküdar Teke |
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| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty Clinical Biochemistry Chronic myelomonocytic leukemia 030204 cardiovascular system & hematology Workflow optimization 03 medical and health sciences Leukocyte Count 0302 clinical medicine Monocytosis Internal medicine medicine Humans Lymphocytes Prospective Studies Aged Automation Laboratory medicine.diagnostic_test business.industry Biochemistry (medical) Complete blood count Hematology General Medicine Middle Aged medicine.disease Leukemia Hematologic Neoplasms FLAG (chemotherapy) Female business Abnormal Lymphocyte 030215 immunology Sysmex xn |
| Zdroj: | International journal of laboratory hematologyREFERENCES. 42(6) |
| ISSN: | 1751-553X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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