Beyond the basics: Sigma scores in laboratory medicine with variable total allowable errors (TEa)

[Display omitted] •Sigma metrics are among the many quality indicators that are useful for estimating the quantity of errors.•TEa represents the maximum error that is allowed in a laboratory test without compromising the patient care.•Frequent recalibration and tailored QC measures can be used to en...

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Veröffentlicht in:Clinica chimica acta 2025-01, Vol.565, p.119971, Article 119971
Hauptverfasser: Yadav, Dharmveer, Rathore, Mohini, Banerjee, Mithu, Tomo, Sojit, Sharma, Praveen
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Sprache:eng
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Zusammenfassung:[Display omitted] •Sigma metrics are among the many quality indicators that are useful for estimating the quantity of errors.•TEa represents the maximum error that is allowed in a laboratory test without compromising the patient care.•Frequent recalibration and tailored QC measures can be used to ensure high quality outcomes despite the variability in TEas.•A proper consensus for setting a TEa goal has not been achieved.•Managing and understanding variable TEa s is crucial for accurate sigma score application. To diagnose diseases, track the effectiveness of treatments and make well-informed clinical decisions, doctors rely on results from laboratories. Accurate and precise results minimize the necessity for additional testing, saving time and money while enhancing patient satisfaction.. Internal quality control and an external quality assurance scheme(EQAS) are metrics used to evaluate a clinical laboratory’s performance. One of the numerous quality indicators that can be used to gauge the amount of errors is sigma metrics. To calculate the sigma scores bias%, CV%, and Total Error Allowable (TEa) are needed. Total Error allowable(TEa) is a crucial benchmark that establishes allowed limits on the degree of deviation from the target value for a certain analyte. Nevertheless, a proper consensus for establishing a TEa goal has not been reached and the impact of this limiting factor in standard laboratory practice and sigma calculation has not been sufficiently established. Choosing the right Total Error allowable(TEa) goal is one of the greatest challenges when employing sigma metrics as depending on the source, several measurands of TEa values may exhibit alteration. Our study aims to determine the sigma scores of 20 routine chemistry parameters using six different TEa sources: Clinical Laboratory Improvement Amendment (CLIA 88′), CLIA(Clinical Laboratory Improvement Amendment) 24, BDV (Biological Variation Desirable), RCPA(Royal College of Pathologists of Australasia), RiliBak(Guideline of the German Medical Association for Quality Assurance of Laboratory Medical Examinations), and EMC/Spain(Measurement and Control Scheme) over a 12-month period using the bias percent from the External Quality Assessment Scheme (EQAS) and coefficient of variation (CV) from the Internal Quality Control (IQC). Detection system was automated, multi-channel, selective analyzer, the Beckman Coulter AU680 which works on the principle of spectrophotometry. To compute the Sigma met
ISSN:0009-8981
1873-3492
1873-3492
DOI:10.1016/j.cca.2024.119971