Clinical decision limits as criteria for setting analytical performance specifications for laboratory tests

被引:4
|
作者
Rotgers, Emmi [1 ,2 ]
Linko, Solveig [3 ]
Theodorsson, Elvar [4 ]
Kouri, Timo T. [1 ,2 ,5 ]
机构
[1] Univ Helsinki, Helsinki Univ Hosp, Dept Clin Chem, FIN-00029 Helsinki, Finland
[2] Helsinki Univ Hosp, HUS Diagnost Ctr, HUSLAB, FIN-00029 Helsinki, Finland
[3] Linko Q Solut, FIN-00950 Helsinki, Finland
[4] Linkoping Univ, Dept Biomed & Clin Sci, Div Clin Chem & Pharmacol, SE-58183 Linkoping, Sweden
[5] Haikaranportti 4 B 22, FIN-02620 Espoo, Finland
关键词
Analytical performance specification; Biological variation; Clinical performance; Clinically significant difference; Diagnostic variation; REFERENCE CHANGE VALUES; HEMOGLOBIN A(1C); ANALYTICAL BIAS; QUALITY-CONTROL; BLOOD-GLUCOSE; UNCERTAINTY; GUIDELINE; CHEMISTRY; DIAGNOSIS; GOALS;
D O I
10.1016/j.cca.2023.117233
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: The biological (CVI), preanalytical (CVPRE), and analytical variation (CVA) are inherent to clinical laboratory testing and consequently, interpretation of clinical test results.Methods: The sum of the CVI, CVPRE, and CVA, called diagnostic variation (CVD), was used to derive clinically acceptable analytical performance specifications (CAAPS) for clinical chemistry measurands. The reference change concept was applied to clinically significant differences (CD) between two measurements, with the formula CD = z*& RADIC;2* CVD. CD for six measurands were sought from international guidelines. The CAAPS were calculated by subtracting variances of CVI and CVPRE from CVD. Modified formulae were applied to consider statistical power (1-beta) and repeated measurements. Results: The obtained CAAPS were 44.9% for urine albumin, 0.6% for plasma sodium, 22.9% for plasma pancreatic amylase, and 8.0% for plasma creatinine (z = 3, alpha = 2.5%, 1-beta = 85%). For blood HbA1c and plasma low-density lipoprotein cholesterol, replicate measurements were necessary to reach CAAPS for patient monitoring. The derived CAAPS were compared with analytical performance specifications, APS, based on biological variation.Conclusions: The CAAPS models pose a new tool for assessing APS in a clinical laboratory. Their usability depends on the relevance of CD limits, required statistical power and the feasibility of repeated measurements.
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页数:10
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