Clinical validation of a delta check model in haematology automated counting improves data validation

Abstract

IntroductionThe delta check quality control measure has been applied in haematology testing for a long time. Although the delta check graph of haematology test had been reported by Berend Houwen in 1989, problems still exist in its clinical application. This study aims to provide a simplified and practical process for the improvement of validity in haematology testing.MethodsWe analysed a total of 5260 patients with two sequential complete blood counting results, taken in 1 week, to verify the delta check curve. The delta check equations were simulated using the sigma plot 13.0 software. Validations of test results were performed on patients from the haematology, oncology and other departments.ResultsThree equations of the delta check limits for mean corpuscular volume (MCV), haemoglobin, white blood cell and platelets were simulated. The following two limitation lines were selected: limit A (ΔA) and limit B (ΔB), wherein ΔA was to simplify the review rules and ΔB to check random errors. Delta check procedures including rules and equations were established for clinical use, and the re‐inspection rate was reduced in different departments using the delta check model in clinical validation.ConclusionThe simplified delta check limitation formulae are meaningful for data review and may help the laboratory technician optimize workflow and reduce workload.

Performance evaluation of delta checks for error control in a hematology laboratory

“…Delta checks, at least indirectly, have been included in accreditation requirements issued by the Joint Commission International, International Organization of Standardization, and CAP, highlighting the significance of delta checks and its application as a part of good laboratory practice. Moreover, the re‐inspection rate during clinical validation of results in an experimental study was reduced by 7.01%, 4.66%, and 7.86% in the oncology, hematology, and other departments, respectively, reflecting improved working efficiency through delta checks 10 …”

Effective and Practical Complete Blood Count Delta Check Method and Criteria for the Quality Control of Automated Hematology Analyzers

“…Some recent studies have used machine learning for delta check [14,15]; however, few studies on hematologic tests have been published. Fu, et al [16] simplified the delta check limitation formulae for data review and reported a new delta check model for automated complete blood counting that improved data validation. Miller, et al [17] suggested a new mean corpuscular volume (MCV)-based delta check method and limits ( > 3.0 fL) for hematology laboratories.…”

“…Fu, et al . [ 16 ] simplified the delta check limitation formulae for data review and reported a new delta check model for automated complete blood counting that improved data validation. Miller, et al .…”