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Updated: Jan 29, 2026

Sigma's Non-specific Protease Activity Assay - Casein as a Substrate
Published on: September 17, 2008
Practical application of the sigma-metric run size nomogram for multistage bracketed statistical quality control
Yuping Zeng1, He He2, Ken Qin3
1West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China; Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Background:
A sigma-metric run size nomogram is used to recommend quality control (QC) strategies to reduce patient risks. Herein, we aimed to evaluate the sigma performance of 8 enzymes and apply multistage bracketed statistical QC (SQC).
Methods:
Sigma performance of alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), creatine kinase (CK), amylase (AMY), and lipase (LIP) were determined. Daily workload of each test was estimated and expected reporting QC intervals were designed. Per the nomogram, "start-up" and "monitor" QC rules were determined from sigma performance. SQC was finally applied, followed by quality improvement.
Results:
Sigma metrics were as follows: 5.26 (ALT), 4.80(AST), 5.25(GGT), 3.36(ALP), 4.71(LDH), 15.45(CK), 10.77(AMY), and 3.70 (LIP). "Start-up" rules were MR N2, MR N4, MR N2, MR N4, MR N4, 1:2.5 s N1, 1:3 s N1, and MR N4, and "monitor" QC rules were 1:2.5 s N1, 1:3 s N2, 1:2.5 s N1, MR N4, 1:3 s N2, 1:3 s N1, 1:3 s N1, MR N2 for 8 enzymes, respectively.
Conclusion:
Multistage bracketed SQC is determined by sigma performance. Risk monitoring is significant during assaying to reduce patient risks and improve quality.
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