Literature DB >> 20959654

Validation and implementation of an algorithm for reporting the automated absolute neutrophil count from selected flagged specimens.

Anthony N Sireci1, Leal Herlitz, Keagan Lee, Jessica L Bautista, Alexander Kratz.   

Abstract

Samples that are flagged by automated cell counters and, therefore, require a time-consuming microscopic review cause unacceptable wait times for patients in hematology/oncology clinics. We used a set of 518 samples to validate that 5 flags on Sysmex XE/XT instruments (Sysmex, Kobe, Japan) could safely be ignored when the absolute neutrophil count (ANC) was the primary clinical question. The R(2) between automated and manual ANCs was 96.9% for samples triggering non-ANC flags, with 1 clinically significant discrepant sample out of 296 (0.3%). A new test code allowing clinicians to specify "ANC-only" was implemented, and these non-ANC specific flags were disregarded. The new order set was used in 16.3% of patients. Automated reporting of the ANC in selected flagged samples reduced the review rate by 60% and decreased the turnaround time by 100 minutes. This approach to automatically report the ANC in selected flagged specimens in which the ANC is the primary clinical interest safely decreases the turnaround time for many ANC samples.

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Year:  2010        PMID: 20959654     DOI: 10.1309/AJCP9PEDYQMFGMA3

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  2 in total

1.  Validity of Selected WBC Differentiation Flags in Sysmex XT-1800i.

Authors:  Parya Bameni Moghaddam; Fatemeh Mahjoub; Amirhossein Emami; Alireza Abdollahi
Journal:  Iran J Pathol       Date:  2016

2.  Choosing wisely during the COVID-19 pandemic: optimising outpatient cancer care while conserving resources with a new algorithm to report automated ANC results.

Authors:  Maly Fenelus; Tamiqua Graham; Ryan Golden; Jessica L Bautista; Rachel J So; Nora Plante; Ellinor I B Peerschke
Journal:  J Clin Pathol       Date:  2020-11-16       Impact factor: 3.411

  2 in total

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