1.Statistical Quality Control Strategy of Clinical Biochemistry Detection Project Based on Risk Model
Dahai HE ; Lirui KONG ; Yan ZHANG ; Feng WU ; Chaoqiong ZHOU ; Ying HUANG ; Lin YU
Journal of Modern Laboratory Medicine 2025;40(2):202-207
Objective To define the operation scale of the biochemical test project based on the risk model,and design the statistical quality control(SQC)strategy by rationally adjusting the risk factors.Methods The σ(σ)values for the biochemistry test items were calculated based on the imprecision(CV)of internal quality control(IQC),external quality assessment(EQA)offset bias(Bias)and allowable total error(TEa)of CLIA 2019.By evaluating and adjusting the patient risk factors,designed the SQC for multiple test biochemical items representing high σ,medium σ and low σ categories.Results Clinical biochemistry testing items with different QC levels showed different σ performance,with values for P and K quality control levels 2 higher than level 1 and the remaining items all had very similar.18 projects for risk σ≥4.96:CK,LDH,GGT,AMY,AST,MG,TG,TBIL,FE,NA,UA,CREA,P,ALP,K,ALT and CA,respectively.Controlled with a QC program 13s N=2,run size was 179~1 000 samples.ALB,GLU,CL,TP and UREA need to achieve the expected operational scale by adjusting for risk factors.Conclusion The laboratory can combine program testing performance and patient safety goals,design SQC strategies for clinical biochemistry testing programs by rationally adjusting risk factors,apply as few SQC procedures for as much testing as possible,and align the laboratory workload and reporting interval with the number of patient samples.
2.Statistical Quality Control Strategy of Clinical Biochemistry Detection Project Based on Risk Model
Dahai HE ; Lirui KONG ; Yan ZHANG ; Feng WU ; Chaoqiong ZHOU ; Ying HUANG ; Lin YU
Journal of Modern Laboratory Medicine 2025;40(2):202-207
Objective To define the operation scale of the biochemical test project based on the risk model,and design the statistical quality control(SQC)strategy by rationally adjusting the risk factors.Methods The σ(σ)values for the biochemistry test items were calculated based on the imprecision(CV)of internal quality control(IQC),external quality assessment(EQA)offset bias(Bias)and allowable total error(TEa)of CLIA 2019.By evaluating and adjusting the patient risk factors,designed the SQC for multiple test biochemical items representing high σ,medium σ and low σ categories.Results Clinical biochemistry testing items with different QC levels showed different σ performance,with values for P and K quality control levels 2 higher than level 1 and the remaining items all had very similar.18 projects for risk σ≥4.96:CK,LDH,GGT,AMY,AST,MG,TG,TBIL,FE,NA,UA,CREA,P,ALP,K,ALT and CA,respectively.Controlled with a QC program 13s N=2,run size was 179~1 000 samples.ALB,GLU,CL,TP and UREA need to achieve the expected operational scale by adjusting for risk factors.Conclusion The laboratory can combine program testing performance and patient safety goals,design SQC strategies for clinical biochemistry testing programs by rationally adjusting risk factors,apply as few SQC procedures for as much testing as possible,and align the laboratory workload and reporting interval with the number of patient samples.
3.Analytical Performance Specifications for Routine Items of Biochemical Inspection Based on EQA and IQC Data in Clinical Laboratory
Feng WU ; Lirui KONG ; Yan ZHANG ; Dahai HE ; Ying HUANG ; Chaoqiong ZHOU ; Yanqun LIU ; Lin YU
Journal of Modern Laboratory Medicine 2024;39(4):203-207,212
Objective To establish the analytical performance specifications(APS)for routine items of biochemical inspection based on the external quality assessment(EQA)and internal quality control(IQC)data.Methods The EQA data and IQC data of routine items of biochemistry inspection in clinical laboratory center of national health commission from 2021 to 2023 were collected from the Department Clinical Laboratory of Traditional Chinese Medicine Hospital of Chengdu Pidu District.Comparing the percentage difference of the EQA data and the IQC in control imprecision[expressed as the coefficient of variation(CV)]data with the 3-level evaluation criteria derived based on biological variation(BV),the percentage pass rate of EQA data and the pass rate of CV under control were calculated,so as to achieve the quality target of APS with 80%or more as the quality control product of this level as the routine biochemical test items of the laboratory.For the inspection items that did not reach BV standard APS or were not applicable to meet the standard,the APS would be set to the WS/T 403-2012 industry standard or based on current technical level.Results TEa/allowable CV of biochemical inspection items were as follows:Potassium(K)2.4%/1.9%,Sodium(Na)4.0%/0.9%,Chloride(Cl)4.0%/0.9%,Calcium(Ca)3.4%/1.8%,Phosphate(P)9.6%/1.9%,Magnesium(Mg)3.8%/2.0%,Glucose(Glu)6.1%/2.3%,Creatinine(Crea)3.9%/2.2%,Urea(Urea)8.6%/3.3%,Total protein(TP)4.9%/2.0%,Albumin(Alb)3.3%/1.9%,Total bilirubin(TBil)6.3%/2.4%,Alanine transaminase(ALT)9.3%/2.9%,Asparpartate transaminase(AST)6.2%/2.1%,γ-glutamyl transferase activity(GGT)9.2%/2.1%,Lactate dehydrogenase(LDH)6.8%/2.2%,Alkaline phosphatase(ALP)7.2%/3.3%,Total cholesterol(TC)of 8.3%/2.6%,Triglyceride(TG)12.9%/4.9%,Amylase(AMY)5.9%/1.6%,Creatine kinase(CK)4.3%/1.6%and Uric acid(UA)2.9%/1.0%.Conclusion The APS set based on BV or current technical level can be used as a quality target for routine laboratory clinical biochemistry testing programs,and the laboratory can select the suitable APS according to the actual situation.

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