Evidence map›Paper›PMID 40928193›Full record

ArticleJournal of clinical laboratory analysis2025

Integrating Cell Population Data With Hematology Analyzer Messages for Improved Detection of Immature White Blood Cells and Laboratory Efficiency.

Lin-Chen Hsu, Tsung-Han Tsai, Yu-Hua Lin, Kai-Yun Lu, Wen-Chun Liu

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Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lin-Chen HsuDepartment of Laboratory Medicine, An Nan Hospital, China Medical University, Tainan, Taiwan.
Tsung-Han TsaiDepartment of Laboratory Medicine, An Nan Hospital, China Medical University, Tainan, Taiwan.
Yu-Hua LinDepartment of Laboratory Medicine, An Nan Hospital, China Medical University, Tainan, Taiwan.
Kai-Yun LuScientific Division, MedTri Company Limited, Taipei, Taiwan.
Wen-Chun LiuDepartment of Nursing, National Tainan Junior College of Nursing, Tainan, Taiwan.ORCID https://orcid.org/0000-0001-9048-6363

Funding

Tainan Municipal An-Nan Hospital ANHRF112-34
6 · The paper itself

Abstract

backgroundImproving efficiency and reducing turnaround time are crucial in clinical laboratories. While automated analyzers such as the Beckman Coulter DxH 900 streamline workflow, subtle abnormalities like blasts and immature granulocytes (IGs) may be missed, especially in the absence of WBC-related suspect messages. This study evaluated whether integrating cell population data (CPD) with instrument messages could enhance detection accuracy.

methodsA total of 587 blood samples were analyzed and classified with (Group A) or without (Group N) WBC-related suspect messages. Manual slide review (MSR) and digital morphology (DM) served as reference standards. CPD parameters were evaluated using receiver operating characteristic (ROC) analysis and Youden's index to establish optimal detection rules.

resultsAmong the 587 samples, 55.3% were in Group A and 44.7% in Group N, with Group A showing significantly lower red blood cell, hemoglobin, and platelet counts (p < 0.001). The DxH 900 flagged 37.7% and 55.4% of samples with blast- and IG-related messages, respectively. However, it failed to detect blasts in 20.6% of cases confirmed by MSR and 21.3% by DM, and missed IGs in 16.2% of MSR-confirmed and 18.7% of DM-confirmed positive samples. CPD parameters (e.g., SD_V_NE, MN_V_NE) identified additional true positives, with area under the curve (AUC) values > 0.9. Integrating CPD rules with WBC-related suspect messages improved sensitivity/specificity to 91.9%/99.0% for blasts and 91.5%/96.7% for IGs, using MSR as the reference standard.

conclusionsIntegrating CPD parameters with WBC-related suspect messages provides a sensitive, automated secondary screening strategy that reduces false negatives and enhances hematologic diagnostics.

Indexed as

Hematologic TestsHematologyLeukocytesHumansLeukocyte CountROC Curveblastscell population datadigital morphologyimmature granulocytesmanual slide review

Identifiers

PMID40928193
PMCPMC12514968

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.