# Six SIGMA-based quality assessment of biochemical analytes: A comparative analysis of clinical laboratory improvement amendments 1988 and 2024 standards

**Authors:** Mert Üge, Saliha Aksun

PMC · DOI: 10.5937/jomb0-58564 · Journal of Medical Biochemistry · 2025-11-05

## TL;DR

This study compares the performance of biochemical tests under old and new quality standards, finding that stricter standards can lower test reliability.

## Contribution

The study evaluates SIGMA performance of biochemical analytes under CLIA 1988 and 2024 standards, highlighting impacts of stricter error limits.

## Key findings

- Some analytes maintained high SIGMA performance under both CLIA 1988 and 2024 standards.
- Stricter CLIA 2024 limits caused a decline in SIGMA values for certain analytes.
- Enhanced quality control is needed to meet evolving standards and ensure test reliability.

## Abstract

Laboratories have a responsibility to produce accurate and reliable results to ensure patient safety and meet quality standards. Within the Six SIGMA quality management framework, various approaches may emerge depending on the total allowable error (TAE) limits defined by different standards. This study aimed to compare analyte SIGMA levels using CLIA 1988 and CLIA 2024 criteria, determine appropriate quality control procedures based on Westgard multirules, and identify potential sources of error using the Quality Goal Index.

SIGMA values for 17 biochemical analytes were calculated based on internal and external quality control data using the formula (TEa - bias)/CV The Quality Goal Index (QGI) was determined using the formula bias/(1.5xCV). All analytes were evaluated at the Karabuk Public Health Laboratory between November 2024 and March 2025.

Amylase (Levels 1 and 2), total bilirubin (Level 1), high-density lipoprotein cholesterol (Levels 1 and 2), creatine kinase (Levels 1 and 2), and lactate dehydrogenase (Levels 1 and 2) demonstrated world-class SIGMA performance according to both CLIA 1988 and CLIA 2024 standards. However, a decline in SIGMA values was observed when calculated using the more stringent CLIA 2024 limits.

The comparison of CLIA 1988 and CLIA 2024 standards demonstrated that stricter TEa limits can significantly impact the performance of SIGMA. While some analytes maintained world-class performance, others exhibited a notable decline, necessitating enhanced quality control measures. These findings emphasise the need for laboratories to periodically reassess test performance in light of evolving regulatory standards to ensure continued analytical reliability and patient safety.

## Full-text entities

- **Genes:** ALPP (alkaline phosphatase, placental) [NCBI Gene 250] {aka ALP, PALP, PLAP, PLAP-1}, GGT1 (gamma-glutamyltransferase 1) [NCBI Gene 2678] {aka CD224, D22S672, D22S732, GGT, GGT 1, GGTD}, GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}, CMPK1 (cytidine/uridine monophosphate kinase 1) [NCBI Gene 51727] {aka CK, CMK, CMPK, UMK, UMP-CMPK, UMPK}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, GGTLC5P (gamma-glutamyltransferase light chain 5 pseudogene) [NCBI Gene 653590] {aka GGT}
- **Chemicals:** cholesterol (MESH:D002784), creatinine (MESH:D003404), Glucose (MESH:D005947), Calcium (MESH:D002118), triglycerides (MESH:D014280), bilirubin (MESH:D001663), phosphorus (MESH:D010758)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12967164/full.md

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Source: https://tomesphere.com/paper/PMC12967164