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Sigma metrics analysis of serology screening assays to enhance quality and efficiency in New Zealand blood services. | LitMetric

Sigma metrics analysis of serology screening assays to enhance quality and efficiency in New Zealand blood services.

Diagn Microbiol Infect Dis

Director of Client Services & Technology, Westgard QC, Inc., 7614 Gray Fox Trail, Madison, WI, 53717, USA.

Published: October 2024

Sigma metric analysis was conducted across two New Zealand Blood Services (NZBS) laboratories (Auckland and Christchurch) to optimize quality control (QC) procedures. We evaluated five assays (anti-HCV, HIV Ag/Ab combo, HTLV-I/II, HBsAg, and Syphilis) using internal quality control (IQC) and third-party daily QC data extracted from four Architect i2000SR instruments during Jan 2 -31st, 2023. Mean, standard deviation (SD), and coefficient of variation (CV%) were calculated, assuming zero bias. Sigma metrics were determined using the Total Allowable Error (TEa %) based on difference between positive control mean and signal-to-cutoff (s/co) cut-off. Most assays exhibited CV% values ≤10 % except for HBsAg IQC (18.5 %) and anti-HCV third-party QC (13.4 %) at Christchurch. TEa % ranged from 38 % to 90 %. Overall, the assays demonstrated Six Sigma performance (σ > 6), except for HBsAg IQC (3.97) and anti-HCV third-party QC (5.46) at Christchurch. These high-quality serology assays can benefit from simplified QC design without compromising blood safety.

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Source
http://dx.doi.org/10.1016/j.diagmicrobio.2024.116451DOI Listing

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