Application of bone marrow samples for discrimination of acute promyelocytic leukemia from other types of acute leukemia using the routine automated hematology analyzer
Summary Introduction Unreported parameters produced by automated blood cell counter, particularly large unstained cells (LUC) and delta neutrophil index (DNI), indicated the presence of immature and possibly abnormal cell populations in white blood cell population. The purpose of this study was to i...
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| Veröffentlicht in: | International journal of laboratory hematology 2014-10, Vol.36 (5), p.531-540 |
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| container_title | International journal of laboratory hematology |
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| creator | Jang, M. J. Choi, H. W. Lee, S. Y. Lee, O. J. Kim, H. R. Shin, J. H. Suh, S. P. Ryang, D. W. Shin, M. G. |
| description | Summary
Introduction
Unreported parameters produced by automated blood cell counter, particularly large unstained cells (LUC) and delta neutrophil index (DNI), indicated the presence of immature and possibly abnormal cell populations in white blood cell population. The purpose of this study was to investigate the laboratory performance for discrimination of acute promyelocytic leukemia (APL) cells from other types of leukemia cells and clinical value of LUC and DNI parameters in bone marrow (BM) samples of patients with acute leukemia.
Methods
A total of 73 BM samples of patients with various type of acute leukemia were analyzed. LUC and DNI parameters were determined by an automated hematology analyzer (ADVIA 120; Siemens Healthcare Diagnostics, New York, NY, USA). Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney U methods. Receiver operating characteristic curve (ROC) analysis, survival analysis, and Cox proportional hazard model were used to evaluate the clinical implication.
Results
There were significant differences (P |
| doi_str_mv | 10.1111/ijlh.12183 |
| format | Article |
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Introduction
Unreported parameters produced by automated blood cell counter, particularly large unstained cells (LUC) and delta neutrophil index (DNI), indicated the presence of immature and possibly abnormal cell populations in white blood cell population. The purpose of this study was to investigate the laboratory performance for discrimination of acute promyelocytic leukemia (APL) cells from other types of leukemia cells and clinical value of LUC and DNI parameters in bone marrow (BM) samples of patients with acute leukemia.
Methods
A total of 73 BM samples of patients with various type of acute leukemia were analyzed. LUC and DNI parameters were determined by an automated hematology analyzer (ADVIA 120; Siemens Healthcare Diagnostics, New York, NY, USA). Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney U methods. Receiver operating characteristic curve (ROC) analysis, survival analysis, and Cox proportional hazard model were used to evaluate the clinical implication.
Results
There were significant differences (P < 0.05) between APL group and other group in the DNI and LUC values except for DNI between APL group and non‐APL myeloid leukemia group. The area under curve of LUC was larger than that of DNI from the ROC analysis for discrimination between APL group and other group. High LUC value was associated with the increased risk of adverse outcomes and the worse overall survival in patients with acute leukemia.
Conclusion
Delta neutrophil index and LUC in BM showed discriminating power of APL cells from other leukemia cells.</description><identifier>ISSN: 1751-5521</identifier><identifier>EISSN: 1751-553X</identifier><identifier>DOI: 10.1111/ijlh.12183</identifier><identifier>PMID: 24410923</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>acute leukemias ; Adolescent ; Adult ; Area Under Curve ; Automated hematology analyzer ; Automation, Laboratory ; Bone Marrow - pathology ; Case-Control Studies ; Child ; Chromosomes, Human, Pair 15 ; Chromosomes, Human, Pair 17 ; delta neutrophil index ; Diagnosis, Differential ; Female ; flow cytometry ; Humans ; large unstained cell ; Leukemia, Myeloid, Acute - classification ; Leukemia, Myeloid, Acute - diagnosis ; Leukemia, Myeloid, Acute - mortality ; Leukemia, Myeloid, Acute - pathology ; Leukemia, Promyelocytic, Acute - diagnosis ; Leukemia, Promyelocytic, Acute - genetics ; Leukemia, Promyelocytic, Acute - mortality ; Leukemia, Promyelocytic, Acute - pathology ; Male ; Middle Aged ; Neutrophils - pathology ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - mortality ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - pathology ; Proportional Hazards Models ; ROC Curve ; Survival Analysis ; Translocation, Genetic</subject><ispartof>International journal of laboratory hematology, 2014-10, Vol.36 (5), p.531-540</ispartof><rights>2014 John Wiley & Sons Ltd</rights><rights>2014 John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5113-7384eac721cb5d90bacab7a8a45d24c67b558292698582ed757a7889f8dec0ec3</citedby><cites>FETCH-LOGICAL-c5113-7384eac721cb5d90bacab7a8a45d24c67b558292698582ed757a7889f8dec0ec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijlh.12183$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijlh.12183$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27931,27932,45581,45582</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24410923$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jang, M. J.</creatorcontrib><creatorcontrib>Choi, H. W.</creatorcontrib><creatorcontrib>Lee, S. Y.</creatorcontrib><creatorcontrib>Lee, O. J.</creatorcontrib><creatorcontrib>Kim, H. R.</creatorcontrib><creatorcontrib>Shin, J. H.</creatorcontrib><creatorcontrib>Suh, S. P.</creatorcontrib><creatorcontrib>Ryang, D. W.</creatorcontrib><creatorcontrib>Shin, M. G.</creatorcontrib><title>Application of bone marrow samples for discrimination of acute promyelocytic leukemia from other types of acute leukemia using the routine automated hematology analyzer</title><title>International journal of laboratory hematology</title><addtitle>Int. Jnl. Lab. Hem</addtitle><description>Summary
Introduction
Unreported parameters produced by automated blood cell counter, particularly large unstained cells (LUC) and delta neutrophil index (DNI), indicated the presence of immature and possibly abnormal cell populations in white blood cell population. The purpose of this study was to investigate the laboratory performance for discrimination of acute promyelocytic leukemia (APL) cells from other types of leukemia cells and clinical value of LUC and DNI parameters in bone marrow (BM) samples of patients with acute leukemia.
Methods
A total of 73 BM samples of patients with various type of acute leukemia were analyzed. LUC and DNI parameters were determined by an automated hematology analyzer (ADVIA 120; Siemens Healthcare Diagnostics, New York, NY, USA). Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney U methods. Receiver operating characteristic curve (ROC) analysis, survival analysis, and Cox proportional hazard model were used to evaluate the clinical implication.
Results
There were significant differences (P < 0.05) between APL group and other group in the DNI and LUC values except for DNI between APL group and non‐APL myeloid leukemia group. The area under curve of LUC was larger than that of DNI from the ROC analysis for discrimination between APL group and other group. High LUC value was associated with the increased risk of adverse outcomes and the worse overall survival in patients with acute leukemia.
Conclusion
Delta neutrophil index and LUC in BM showed discriminating power of APL cells from other leukemia cells.</description><subject>acute leukemias</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Area Under Curve</subject><subject>Automated hematology analyzer</subject><subject>Automation, Laboratory</subject><subject>Bone Marrow - pathology</subject><subject>Case-Control Studies</subject><subject>Child</subject><subject>Chromosomes, Human, Pair 15</subject><subject>Chromosomes, Human, Pair 17</subject><subject>delta neutrophil index</subject><subject>Diagnosis, Differential</subject><subject>Female</subject><subject>flow cytometry</subject><subject>Humans</subject><subject>large unstained cell</subject><subject>Leukemia, Myeloid, Acute - classification</subject><subject>Leukemia, Myeloid, Acute - diagnosis</subject><subject>Leukemia, Myeloid, Acute - mortality</subject><subject>Leukemia, Myeloid, Acute - pathology</subject><subject>Leukemia, Promyelocytic, Acute - diagnosis</subject><subject>Leukemia, Promyelocytic, Acute - genetics</subject><subject>Leukemia, Promyelocytic, Acute - mortality</subject><subject>Leukemia, Promyelocytic, Acute - pathology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neutrophils - pathology</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - mortality</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - pathology</subject><subject>Proportional Hazards Models</subject><subject>ROC Curve</subject><subject>Survival Analysis</subject><subject>Translocation, Genetic</subject><issn>1751-5521</issn><issn>1751-553X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1u1TAUhC0EoqWw4QGQlwgpxT9xnCyrQv90BRICwc5ynJNet06c2o5KeCIeE19umyV4M5b1zRwdD0KvKTmm-by3N257TBmt-RN0SKWghRD8x9P1zugBehHjDSFClqR5jg5YWVLSMH6Ifp9Mk7NGJ-tH7Hvc-hHwoEPw9zjqYXIQce8D7mw0wQ52XElt5gR4Cn5YwHmzJGuwg_kWBqtxn5-xT1sIOC1TzlgNKzJHO17jjODg52TzWD0nP-gEHd5CVu_89YL1qN3yC8JL9KzXLsKrBz1C384-fj29KDafzy9PTzaFEZTyQvK6BG0ko6YVXUNabXQrda1L0bHSVLIVomYNq5o6K3RSSC3ruunrDgwBw4_Q231u3uxuhpjUkFcH5_QIfo6KVrSmFasq9n9UVJyIRvAd-m6PmuBjDNCrKf-mDouiRO1KVLsS1d8SM_zmIXduB-hW9LG1DNA9cG8dLP-IUpdXm4vH0GLvsTHBz9Wjw62qJJdCff90rq7OvpAPbMNUw_8AMFa61w</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Jang, M. J.</creator><creator>Choi, H. W.</creator><creator>Lee, S. Y.</creator><creator>Lee, O. J.</creator><creator>Kim, H. R.</creator><creator>Shin, J. H.</creator><creator>Suh, S. P.</creator><creator>Ryang, D. W.</creator><creator>Shin, M. G.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7T5</scope><scope>H94</scope></search><sort><creationdate>201410</creationdate><title>Application of bone marrow samples for discrimination of acute promyelocytic leukemia from other types of acute leukemia using the routine automated hematology analyzer</title><author>Jang, M. J. ; Choi, H. W. ; Lee, S. Y. ; Lee, O. J. ; Kim, H. R. ; Shin, J. H. ; Suh, S. P. ; Ryang, D. W. ; Shin, M. G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5113-7384eac721cb5d90bacab7a8a45d24c67b558292698582ed757a7889f8dec0ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>acute leukemias</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Area Under Curve</topic><topic>Automated hematology analyzer</topic><topic>Automation, Laboratory</topic><topic>Bone Marrow - pathology</topic><topic>Case-Control Studies</topic><topic>Child</topic><topic>Chromosomes, Human, Pair 15</topic><topic>Chromosomes, Human, Pair 17</topic><topic>delta neutrophil index</topic><topic>Diagnosis, Differential</topic><topic>Female</topic><topic>flow cytometry</topic><topic>Humans</topic><topic>large unstained cell</topic><topic>Leukemia, Myeloid, Acute - classification</topic><topic>Leukemia, Myeloid, Acute - diagnosis</topic><topic>Leukemia, Myeloid, Acute - mortality</topic><topic>Leukemia, Myeloid, Acute - pathology</topic><topic>Leukemia, Promyelocytic, Acute - diagnosis</topic><topic>Leukemia, Promyelocytic, Acute - genetics</topic><topic>Leukemia, Promyelocytic, Acute - mortality</topic><topic>Leukemia, Promyelocytic, Acute - pathology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neutrophils - pathology</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - mortality</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - pathology</topic><topic>Proportional Hazards Models</topic><topic>ROC Curve</topic><topic>Survival Analysis</topic><topic>Translocation, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jang, M. J.</creatorcontrib><creatorcontrib>Choi, H. W.</creatorcontrib><creatorcontrib>Lee, S. Y.</creatorcontrib><creatorcontrib>Lee, O. J.</creatorcontrib><creatorcontrib>Kim, H. R.</creatorcontrib><creatorcontrib>Shin, J. H.</creatorcontrib><creatorcontrib>Suh, S. P.</creatorcontrib><creatorcontrib>Ryang, D. W.</creatorcontrib><creatorcontrib>Shin, M. G.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>International journal of laboratory hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jang, M. J.</au><au>Choi, H. W.</au><au>Lee, S. Y.</au><au>Lee, O. J.</au><au>Kim, H. R.</au><au>Shin, J. H.</au><au>Suh, S. P.</au><au>Ryang, D. W.</au><au>Shin, M. G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of bone marrow samples for discrimination of acute promyelocytic leukemia from other types of acute leukemia using the routine automated hematology analyzer</atitle><jtitle>International journal of laboratory hematology</jtitle><addtitle>Int. Jnl. Lab. Hem</addtitle><date>2014-10</date><risdate>2014</risdate><volume>36</volume><issue>5</issue><spage>531</spage><epage>540</epage><pages>531-540</pages><issn>1751-5521</issn><eissn>1751-553X</eissn><abstract>Summary
Introduction
Unreported parameters produced by automated blood cell counter, particularly large unstained cells (LUC) and delta neutrophil index (DNI), indicated the presence of immature and possibly abnormal cell populations in white blood cell population. The purpose of this study was to investigate the laboratory performance for discrimination of acute promyelocytic leukemia (APL) cells from other types of leukemia cells and clinical value of LUC and DNI parameters in bone marrow (BM) samples of patients with acute leukemia.
Methods
A total of 73 BM samples of patients with various type of acute leukemia were analyzed. LUC and DNI parameters were determined by an automated hematology analyzer (ADVIA 120; Siemens Healthcare Diagnostics, New York, NY, USA). Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney U methods. Receiver operating characteristic curve (ROC) analysis, survival analysis, and Cox proportional hazard model were used to evaluate the clinical implication.
Results
There were significant differences (P < 0.05) between APL group and other group in the DNI and LUC values except for DNI between APL group and non‐APL myeloid leukemia group. The area under curve of LUC was larger than that of DNI from the ROC analysis for discrimination between APL group and other group. High LUC value was associated with the increased risk of adverse outcomes and the worse overall survival in patients with acute leukemia.
Conclusion
Delta neutrophil index and LUC in BM showed discriminating power of APL cells from other leukemia cells.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>24410923</pmid><doi>10.1111/ijlh.12183</doi><tpages>10</tpages></addata></record> |
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| subjects | acute leukemias Adolescent Adult Area Under Curve Automated hematology analyzer Automation, Laboratory Bone Marrow - pathology Case-Control Studies Child Chromosomes, Human, Pair 15 Chromosomes, Human, Pair 17 delta neutrophil index Diagnosis, Differential Female flow cytometry Humans large unstained cell Leukemia, Myeloid, Acute - classification Leukemia, Myeloid, Acute - diagnosis Leukemia, Myeloid, Acute - mortality Leukemia, Myeloid, Acute - pathology Leukemia, Promyelocytic, Acute - diagnosis Leukemia, Promyelocytic, Acute - genetics Leukemia, Promyelocytic, Acute - mortality Leukemia, Promyelocytic, Acute - pathology Male Middle Aged Neutrophils - pathology Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics Precursor Cell Lymphoblastic Leukemia-Lymphoma - mortality Precursor Cell Lymphoblastic Leukemia-Lymphoma - pathology Proportional Hazards Models ROC Curve Survival Analysis Translocation, Genetic |
| title | Application of bone marrow samples for discrimination of acute promyelocytic leukemia from other types of acute leukemia using the routine automated hematology analyzer |
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