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Combined hematologic parameters to optimize review criteria on XE‐5000
Author(s) -
Fu Liang,
Guo Xinyu,
Li Xueheng,
Peng Li,
Luo Huixian,
Xu Yao,
Zeng Fangyin
Publication year - 2020
Publication title -
international journal of laboratory hematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.705
H-Index - 55
eISSN - 1751-553X
pISSN - 1751-5521
DOI - 10.1111/ijlh.13131
Subject(s) - hematology analyzer , medicine , hematology , set (abstract data type) , statistics , computer science , mathematics , programming language
Forty‐one consensus review rules are presented to a large number of hematology laboratories worldwide, as suggested by the International Consensus Group for Hematology Review. Research on the review criteria has mainly focused on adjusting the threshold of each parameter to establish optimized criteria with better efficiency based on the consensus group criteria. This study aimed to optimize the review criteria by combining hematologic parameters on a Sysmex XE‐5000 hematology analyzer (XE‐5000). Material and methods A total of 662 nucleated red blood cell (NRBC) and 406 atypical lymphocyte cell (AL) flagged samples were used to establish hematologic parameters associated with NRBC and AL, respectively. Another set of 1423 optimization samples were used to validate the optimized criteria of NRBC and AL by combining associative hematologic parameters. The efficiency of each set of criteria was compared and optimized to obtain better efficiency, an acceptable slide review rate, and a low false‐negative rate. Results In the optimization NRBC set combining triple parameters, compared with the default setting ( P < .001), the slide review rate declined from 30.26% to 14.42%, and the efficiency increased from 75.65% to 91.02%. In the optimization AL set combining triple parameters, compared with the default setting ( P < .001), the slide review rate declined from 40.60% to 11.80%, and the efficiency increased from 64.02% to 93.00%. Conclusions Based on the adjustment of Q ‐flag values combining associative hematologic parameters, the optimal criteria with a low false‐negative rate not only might have a higher efficiency but also may significantly reduce the slide review rate.