Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory

Objective: Although the microscopic manual count is considered the standard method for NRBC enumeration, modern hematology analyzers can perform this task automatically with reliable accuracy and efficiency. This study aims to evaluate the diagnostic performance of the Sysmex XN hematology analyzer...

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Main Authors: Pawadee Chinudomwong, Narin Khongjaroensakun, Benjarat Chatachote, Nutdanai Chaothai, Karan Paisooksantivatana
Other Authors: Faculty of Medicine Ramathibodi Hospital, Mahidol University
Format: Article
Published: 2022
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/75929
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spelling th-mahidol.759292022-08-04T16:03:17Z Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory Pawadee Chinudomwong Narin Khongjaroensakun Benjarat Chatachote Nutdanai Chaothai Karan Paisooksantivatana Faculty of Medicine Ramathibodi Hospital, Mahidol University Biochemistry, Genetics and Molecular Biology Medicine Objective: Although the microscopic manual count is considered the standard method for NRBC enumeration, modern hematology analyzers can perform this task automatically with reliable accuracy and efficiency. This study aims to evaluate the diagnostic performance of the Sysmex XN hematology analyzer and to construct the optimal workflow for accurate and efficient NRBC reporting. Methods: Specimens containing different levels of NRBC were included. Analytical performance was evaluated via method comparison with flow cytometry (FCM) and manual count (MC). Clinical sensitivity was analyzed by ROC analysis using manual count as the standard method. Results: Correlation study of %NRBC with FCM and MC demonstrated an r value of 0.925 (95% CI 0.905 to 0.942) and 0.990 (95% CI 0.987 to 0.992) with a mean difference of −0.8 (95%CI: −6.7 to +5.0) and +0.50 (95% CI: −6.7 to +7.7), respectively. When the automated NRBC count was equal to zero and >0.07 × 109/L, the false-negative rate and false-positive rate were 100%, respectively; hence, manual slide review could be omitted. A false-positive rate of 72.7% was noted in specimens containing NRBC count less than 0.07 × 109/L. Conclusion: The Sysmex XN can help improve the efficiency of NRBC enumeration owing to its accuracy, rapidity, and automation. However, further studies are required to improve the accuracy of detection in specimens containing a very low level of NRBC. 2022-08-04T08:03:24Z 2022-08-04T08:03:24Z 2021-12-01 Article International Journal of Laboratory Hematology. Vol.43, No.6 (2021), 1373-1378 10.1111/ijlh.13641 1751553X 17515521 2-s2.0-85109395729 https://repository.li.mahidol.ac.th/handle/123456789/75929 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109395729&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Biochemistry, Genetics and Molecular Biology
Medicine
spellingShingle Biochemistry, Genetics and Molecular Biology
Medicine
Pawadee Chinudomwong
Narin Khongjaroensakun
Benjarat Chatachote
Nutdanai Chaothai
Karan Paisooksantivatana
Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
description Objective: Although the microscopic manual count is considered the standard method for NRBC enumeration, modern hematology analyzers can perform this task automatically with reliable accuracy and efficiency. This study aims to evaluate the diagnostic performance of the Sysmex XN hematology analyzer and to construct the optimal workflow for accurate and efficient NRBC reporting. Methods: Specimens containing different levels of NRBC were included. Analytical performance was evaluated via method comparison with flow cytometry (FCM) and manual count (MC). Clinical sensitivity was analyzed by ROC analysis using manual count as the standard method. Results: Correlation study of %NRBC with FCM and MC demonstrated an r value of 0.925 (95% CI 0.905 to 0.942) and 0.990 (95% CI 0.987 to 0.992) with a mean difference of −0.8 (95%CI: −6.7 to +5.0) and +0.50 (95% CI: −6.7 to +7.7), respectively. When the automated NRBC count was equal to zero and >0.07 × 109/L, the false-negative rate and false-positive rate were 100%, respectively; hence, manual slide review could be omitted. A false-positive rate of 72.7% was noted in specimens containing NRBC count less than 0.07 × 109/L. Conclusion: The Sysmex XN can help improve the efficiency of NRBC enumeration owing to its accuracy, rapidity, and automation. However, further studies are required to improve the accuracy of detection in specimens containing a very low level of NRBC.
author2 Faculty of Medicine Ramathibodi Hospital, Mahidol University
author_facet Faculty of Medicine Ramathibodi Hospital, Mahidol University
Pawadee Chinudomwong
Narin Khongjaroensakun
Benjarat Chatachote
Nutdanai Chaothai
Karan Paisooksantivatana
format Article
author Pawadee Chinudomwong
Narin Khongjaroensakun
Benjarat Chatachote
Nutdanai Chaothai
Karan Paisooksantivatana
author_sort Pawadee Chinudomwong
title Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
title_short Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
title_full Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
title_fullStr Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
title_full_unstemmed Improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
title_sort improving the efficiency of the autoverification workflow for nucleated red blood cell reporting in the hematology laboratory
publishDate 2022
url https://repository.li.mahidol.ac.th/handle/123456789/75929
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