Mindong Mi , Jiyong Gong , Weijie Sun , Tunguang Xu , Qifeng Jiang , Danqing Zhang , Axiang Han , Wei Liang
{"title":"用于电解质程序指数加权移动平均质量控制的新优化组合","authors":"Mindong Mi , Jiyong Gong , Weijie Sun , Tunguang Xu , Qifeng Jiang , Danqing Zhang , Axiang Han , Wei Liang","doi":"10.1016/j.cca.2025.120280","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to optimize and validate the EWMA QC procedure for potassium (K), sodium (Na), and chloride (Cl) by selecting optimal exponential weighting factors (λ), quality control limits (CLs), and truncation limits (TLs).</div></div><div><h3>Methods</h3><div>Data from 150,000 serum tests for K, Na, and Cl were obtained from the Laboratory Medicine Department of the First Affiliated Hospital of Ningbo University. The dataset included inpatient, outpatient, and physical examination populations. Using testing times, 400 simulated days with 375 tests each were created. The EWMA QC process was optimized and verified across the three analytes using false positive rate (FPR), true positive rate (TPR), and the median number of patient results affected before error detection (MNped).</div></div><div><h3>Result</h3><div>The EWMA QC procedure with λ = 0.2 outperformed other λ values for Na and Cl, achieving higher sensitivity for errors exceeding the total allowable error (TEa) and better performance with λ = 0.5 for errors below 1/2TEa in K. All three programs maintained FPRs below 5 %. The optimal QC (λ = 0.2) detected 99.93 % of Na errors and 86.30 % of Cl errors. However, K’s QC showed lower sensitivity, with poor performance even at 2TEa.</div></div><div><h3>Conclusion</h3><div>The EWMA QC method demonstrated high sensitivity and specificity for Na and Cl programs with an optimal λ of 0.2. However, its performance for K was suboptimal, indicating limited applicability in this analyte.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"572 ","pages":"Article 120280"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new optimization combination used in the exponentially weighted moving average quality control of electrolyte programs\",\"authors\":\"Mindong Mi , Jiyong Gong , Weijie Sun , Tunguang Xu , Qifeng Jiang , Danqing Zhang , Axiang Han , Wei Liang\",\"doi\":\"10.1016/j.cca.2025.120280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study aimed to optimize and validate the EWMA QC procedure for potassium (K), sodium (Na), and chloride (Cl) by selecting optimal exponential weighting factors (λ), quality control limits (CLs), and truncation limits (TLs).</div></div><div><h3>Methods</h3><div>Data from 150,000 serum tests for K, Na, and Cl were obtained from the Laboratory Medicine Department of the First Affiliated Hospital of Ningbo University. The dataset included inpatient, outpatient, and physical examination populations. Using testing times, 400 simulated days with 375 tests each were created. The EWMA QC process was optimized and verified across the three analytes using false positive rate (FPR), true positive rate (TPR), and the median number of patient results affected before error detection (MNped).</div></div><div><h3>Result</h3><div>The EWMA QC procedure with λ = 0.2 outperformed other λ values for Na and Cl, achieving higher sensitivity for errors exceeding the total allowable error (TEa) and better performance with λ = 0.5 for errors below 1/2TEa in K. All three programs maintained FPRs below 5 %. The optimal QC (λ = 0.2) detected 99.93 % of Na errors and 86.30 % of Cl errors. However, K’s QC showed lower sensitivity, with poor performance even at 2TEa.</div></div><div><h3>Conclusion</h3><div>The EWMA QC method demonstrated high sensitivity and specificity for Na and Cl programs with an optimal λ of 0.2. However, its performance for K was suboptimal, indicating limited applicability in this analyte.</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"572 \",\"pages\":\"Article 120280\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0009898125001597\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898125001597","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
A new optimization combination used in the exponentially weighted moving average quality control of electrolyte programs
Objective
This study aimed to optimize and validate the EWMA QC procedure for potassium (K), sodium (Na), and chloride (Cl) by selecting optimal exponential weighting factors (λ), quality control limits (CLs), and truncation limits (TLs).
Methods
Data from 150,000 serum tests for K, Na, and Cl were obtained from the Laboratory Medicine Department of the First Affiliated Hospital of Ningbo University. The dataset included inpatient, outpatient, and physical examination populations. Using testing times, 400 simulated days with 375 tests each were created. The EWMA QC process was optimized and verified across the three analytes using false positive rate (FPR), true positive rate (TPR), and the median number of patient results affected before error detection (MNped).
Result
The EWMA QC procedure with λ = 0.2 outperformed other λ values for Na and Cl, achieving higher sensitivity for errors exceeding the total allowable error (TEa) and better performance with λ = 0.5 for errors below 1/2TEa in K. All three programs maintained FPRs below 5 %. The optimal QC (λ = 0.2) detected 99.93 % of Na errors and 86.30 % of Cl errors. However, K’s QC showed lower sensitivity, with poor performance even at 2TEa.
Conclusion
The EWMA QC method demonstrated high sensitivity and specificity for Na and Cl programs with an optimal λ of 0.2. However, its performance for K was suboptimal, indicating limited applicability in this analyte.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.