{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T05:50:57Z","timestamp":1785563457366,"version":"3.56.0"},"reference-count":15,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Sysmex"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Monocytosis Workflow Optimization rule set has been developed by using mono\u2010dysplasia\u2010score 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Adult patients with monocyte count \u22651.0\u00a010<jats:sup>3<\/jats:sup>\/\u00b5L and monocyte percentage \u226510% 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Twenty\u2010one 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 \u201cabnormal lymphocyte\/ blast\u201d 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%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Automated validation support systems and softwares developed especially for these systems make it possible to classify patients with their non\u2010specific 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.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.13281","type":"journal-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T15:49:20Z","timestamp":1594223360000},"page":"744-749","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A new approach for diagnosing hematological malignancies using monocytosis workflow optimization and abnormal lymphocyte\/blast flag of Sysmex XN series of blood count analyzers"],"prefix":"10.1111","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7434-4234","authenticated-orcid":false,"given":"Evin","family":"Kocaturk","sequence":"first","affiliation":[{"name":"Department of Medical Biochemistry Eskisehir Osmangazi University Medical Faculty  Eskisehir Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7375-8486","authenticated-orcid":false,"given":"Zeynep","family":"Kusku Kiraz","sequence":"additional","affiliation":[{"name":"Department of Medical Biochemistry Eskisehir Osmangazi University Medical Faculty  Eskisehir Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4434-4580","authenticated-orcid":false,"given":"Hava","family":"Uskudar Teke","sequence":"additional","affiliation":[{"name":"Department of Hematology Eskisehir Osmangazi University Medical Faculty  Eskisehir Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8718-0291","authenticated-orcid":false,"given":"Sukru Saygin","family":"Demir","sequence":"additional","affiliation":[{"name":"Department of Medical Biochemistry Eskisehir Osmangazi University Medical Faculty  Eskisehir Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1753-8873","authenticated-orcid":false,"given":"Ibrahim Ozkan","family":"Alatas","sequence":"additional","affiliation":[{"name":"Department of Medical Biochemistry Eskisehir Osmangazi University Medical Faculty  Eskisehir Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12776"},{"key":"e_1_2_8_3_1","volume-title":"WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues","author":"Swerdlow SH","year":"2017"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/00365513.2018.1423702"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/00365513.2016.1199049"},{"key":"e_1_2_8_6_1","unstructured":"https:\/\/www.sysmex.dk\/academy\/library\/glossary\/extended-ipu-1348.html. 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