Objective:To evaluate the quality level of early pregnancy serum screening in China.Methods:Information on the coefficient of variation, bias, quality control (QC) rules, and testing methods from 576 laboratories participating in the 2022 early pregnancy serum screening inter-laboratory proficiency testing program by the National Health Commission Clinical Laboratory Center was collected. Serological screening indicators included free human chorionic gonadotropin β subunit (β-hCG), total β-hCG, and pregnancy-associated plasma protein A (PAPP-A). Six Sigma (σ) management was used to assess the quality level of the laboratories and the rationality of QC rules.Wilcoxon test was used to evaluate whether different testing time and methods affected the Sigma level.Results:A total of 119 laboratories tested total β-hCG, 457 laboratories tested free β-hCG, and 565 laboratories tested PAPP-A. Seventeen laboratories tested only one marker, 553 laboratories tested two markers, and six laboratories tested three markers. There was no statistically significant difference in sigma levels for the same analyte tested in May and September. The proportion of free β-hCG reaching 6σ was the highest at 71.9% (567/788); although total β-hCG had the lowest proportion reaching 6σ at 53.4% (103/193), it also had the lowest proportion below 3σ at 3.1% (6/193). Early pregnancy serum prenatal screening mainly involved five reagents and primarily used chemiluminescence and time-resolved fluorescence methods (free β-hCG was only tested using chemiluminescence). Laboratories using time-resolved fluorescence had overall higher sigma levels [total β-hCG: 9.56 (7.01-13.22) vs. 5.84 (4.36-9.12), W=53 114.00; PAPP-A: 9.04 (6.40-12.62) vs. 5.71 (4.22-8.15), W=75 752.00; both P<0.001] compared to those using chemiluminescence. The proportion of QC rules conforming to Westgard sigma rules ranged from 16.1% (31/193) to 19.6% (166/846). Among them, the proportion of laboratories with overly lenient QC rules was 24.8% (210/846) to 32.1% (62/193), and the proportion with overly strict QC rules was 51.8% (100/193) to 55.6% (470/846). Conclusion:The overall QC level of prenatal screening laboratories in China is fine, but there is still room for improvement in the setting of QC rules.

Objective To discuss how to plot a power function graph and draw power function graphs corresponding to common quality control rules to assist medical laboratories in selecting quality control rules.Methods Commonly used quality control rules in clinical laboratory testing in China were collected,power function graphs based on the Monte Carlo method were plotted,and the simulation results with existing results were compared and tested the reliability of the method.Results The Monte Carlo method could be used to easily plot power function graphs for the most complex quality control rules such as 13s/22s/R4s/41s/8(x-).This method had a high level of accuracy,but the accuracy and precision were positively correlated with the number of simulations.In terms of statistical proportions of seven commonly used quality control rules,the 13s/22srule had the highest usage proportion,followed by the 13s/22s/R4s.The power function graph corresponding to the 13s/22s/R4s/41s/10(x-) rule was plotted,and the sigma level lines were marked to assist the laboratory in selecting quality control rules.Conclusion The Monte Carlo method accurately plotted power function graphs,and medical laboratories could use this method to independently plot efficiency function graphs to meet quality control requirements.

Humans ; Infant, Newborn ; Neonatal Screening ; China

Objective:To investigate the use of the reference intervals for blood cell counting and the reference of industry standard in China.Methods:Information from all laboratories was collected using online questionnaire in 18 reference intervals survey in blood cell counting in 2019. The information includes the source of the reference intervals, the verification of the reference intervals, and the upper and lower limits of the reference intervals, the method used, the instrument, the reagent and the calibrator. Microsoft Excel 2007 software was used to analyze the results of all laboratories. The median and 95% confidence interval were calculated. The distribution of the reference intervals for blood cell counting and their conformance to industry standards were analyzed.Results:2, 869 labs reported the data. The main sources were industry standards and National Guide to Clinical Laboratory Procedures. The proportion was 33.30%-35.02% and 28.55%-30.90% respectively. 49.44%-55.13% of laboratories validated the reference interval when citing industry standards. The reference interval grouping of most laboratories (89.37%-91.69%) cited in RBC, Hgb and Hct were consistent with the industry standards. We compared the upper and lower limits of the reference intervals with that given by the industry standards, when the lower limit of the reference intervals of mean corpuscular hemoglobin concentration, absolute neutrophils count, absolute basophils count, absolute monocyte count, and lymphocyte percentage were compared. The upper limit of reference intervals of neutrophils percentage as well as upper and lower limits of reference intervals of mean corpuscular volume, mean corpuscular hemoglobin, absolute eosinophil count, basophils percentage, and monocyte percentage were also compared. The median and mode were equal and consistent with industry standards. For other labs, the upper and lower limits of the reference intervals were not consistent with the reference intervals given by the industry standards.Conclusion:The use of reference intervals for blood cell counting was not the same, and the implementation of industry standards was not optimistic. A considerable number of laboratories had not verified the reference intervals, so it was necessary to promote the industry standards for reference intervals.

This article reviews the emerging artificial intelligence (AI) technology and its application in the field of aneuploidy prenatal screening from the aspects of the research methods of AI, the status of prenatal screening, and the role of AI in the integration of the screening markers, improvement of the screening performance, and optimization of screening strategy, etc. There is no doubt that AI has great potential in improving the ability of disease prediction through, integrating various screening data, discovering additional value of the data, and reducing social medical expenses. However, AI technology should be viewed and used in a scientific, rational, and comprehensive way to achieve the ideal effect in the field of prenatal screening.

Objective To eva1uate the external quality assessment results of prenatal screening for maternal serum inhibin A in the second trimester in 2018 and to improve the accuracy of prenatal screening.Methods National Center for Clinical Laboratories provided three batches of quality control urine sample (Lot:201811-201813) to 94 prenatal screening laboratories nationwide in March 2018.Laboratories participated in the assessment voluntarily and reported the results,methods,equipment,reagents and other related information as required.Clinet EQA and Microsoft Excel 2010 were used for statistical analysis of the laboratory test results and for descriptive evaluation of the accuracy rate.Results A total of 55 laboratories submitted their testing results giving a return rate of 58.5％ (55/94),of which 52 (94.5％) were consistent with the expected results,while none of the results submitted by the other three laboratories was accurate.At the mean time,the bias of all three batches in each laboratory fell into the same side (two laboratories showed negative bias and one positive bias).Conclusions The results of the external quality assessment of prenatal screening for maternal serum inhibin A are generally satisfactory except for a few laboratories.It is necessary to incorporate prenatal screening for maternal serum inhibin A in the second trimester into the formal external quality assessment plan and regularly monitor the level of its detection quality.

Objective To investigate and analyze the source and upper and lower limits of the reference interval of children's complete blood count in 110 maternal and child health hospitals and chil-dren's hospitals nationwide. Methods Laboratories submitted the data of reference intervals via external quality assessment (EQA) software which was based on the web. To collect the results of reference intervals questionnaires on complete blood cell counting of children in laboratory departments of 110 maternal and child care service centers and children's hospitals in China in 2017. Questionnaires include information on the source of reference intervals for 18 items of complete blood count, whether to verify, upper and lower lim-its, grouping, methods used, instruments, reagents, and calibrators. Data was analyzed using Microsoft Excel 2007 and SPSS 22.0. The median, P25, P75were obtained, and rank sum test were used to determine wheth-er there were statistical differences between groups. Results The results of 110 laboratories were obtained after rejecting invalid data. The reference intervals were mainly derived from operating procedures and the laboratories themselves, of which 50.5％-53.6％ of the laboratories were validated. The white blood cell counting reference intervals gradually decreased from birth to adolescence, and the value was close to that of adults. The reference intervals of red blood cell counting and hemoglobin were close to that of adults except in the neonatal period. The value of the reference intervals of hematocrit slightly decreased with age. The dif-ference between RBC, Hgb, HCT in reference intervals between groups was statistically significant when grouped by gender(P<0.05). The reference intervals of white blood cell counting were less grouped by gender (5 laboratories), and the difference among groups was not statistically significant. There were no statistically significant differences in the reference intervals of elements between the two measurement systems that Sys-mex XN series and Sysmex XS-800i/XS-1000i/XS 500i/XS 900i series. Conclusions The establishment of reference intervals for children's complete blood cell counting was urgently needed. The reference inter-vals of the complete blood cell counting item had statistical significance in both age and gender. It was sug-gested that the industry standard of children's complete blood cell counting reference intervals should be es-tablished based on age and gender.

Objective To investigate the implementation of professional standards for reference intervals in routine biochemistry laboratories.Methods The relevant data of reference intervals from different laboratories including upper and lower limits,sources of reference intervals,verification and grouping rules,etc was submitted by using the software of interval quality assessment (EQA) via WEB application.The background monitor saved all the data as Microsoft Excel 2007 documents.The implementation of reference intervals of professional standards for decreed 18 routine biochemical tests was analyzed.Results The proportion of laboratories in which the reference intervals were derived from professional standards increased largely in 2016 compared with those in 2014.The data of 2016 showed that the reference intervals derived from professional standards were verified in 58.9％ to 67.5％ of laboratories before they were used in clinical diagnosis.The grouping rules for reference intervals in most laboratories (59.1％ to 83.3％) were in accordance with professional standards,except for individual items,including urea (43.4％),creatinine (40.1％) and alkaline phosphatase (35.8％).There were significant differences for the upper and lower limits of the most items between the laboratories using professional standards and those without using professional standards (P ＜ 0.05),except for some items,including lower limit value of kalium,upper limit of phosphorus,upper limit of amylase,upper limit of aspartate aminotransferase and lower limit of ferrum.There was no significant difference in most items between the the upper and lower limits of the reference intervals in the laboratories using professional standards and the reference intervals defined by professional standards,except for individual items,including upper limit of total protein,lower and upper limit of creatine kinase,upper limit of urea and upper limit of creatinine (P ＜ 0.05).Conclusion The implementation of reference intervals from professional standards in most routine biochemistry laboratories could not be satisfactory.Only a small part of laboratories used the professional standards,and the reference intervals of professional standards,were not verified before use in quite a part of laboratories.

Objective To investigate the status of blood specimen acceptability for clinical chemistry tests in routine medical laboratories of China. Methods The questionnaires were assigned to the laboratories which participated in the routine chemistry exter-nal quality assessment (EQA) programs proposed by National Health Commission for Clinical Laboratory. The questionnaires included general information of participants and information about unacceptable blood specimens. Participants were required to record all the in-formation concerning unacceptable blood specimen received from 1stto 31stJuly, 2017. The data from each laboratory were reported and collected via special online system.Results A total of 866 valid questionnaires were collected.Of 15 981 752 specimens received dur-ing the data collection period unqualified 122 00 specimens were rejected with overall rejection rate of 0.076%. The main reasons for unacceptable specimens were hemolysis (33.98%), insufficient specimen quantity (10.78%) and chylemia/lipemia (10.62%). The rejected specimens were related to the original laboratories, types of container and specimen, transportation manner and operating staff of blood collection. Conclusion Certain problems existed in the receiving and management system for unqualified blood specimen in our country and remaining to be perfected. The clinical laboratories should pay more attention for pre-examination stage, including routinely monitoring unacceptable specimens, analyzing related data at the most possible granular levels, identifying the main problem and taking effective measures.

Objective To evaluate the results of 2017 external quality assessment for newborn hemoglobinopathyand improve the quality of disease screening .Methods Each of 26 participating laboratories testing newborn hemoglobinopathy across the country received 5 batches of quality control blood spots ( Lot 201711-201715 ) in octorber 2017.Laboratories voluntarily participated in the survey and reported the results, methods, equipments and reagents information .Clinet EQA, and Microsoft Excel 2010 were used to perform statistical analysis on the laboratory test results .The rates of accuracy ( number of correct results/total number of submitted results ) were used for evaluating the performance of laboratories . Results 24 laboratories submitted the testing results with a return rate of 80.8%(21/26).The rates of accuracy for each lot were 100%(21/21), 90.5%(19/21), 90.5%(19/21), 57.1%(12/21) and 100%(21/21 ) respectively.Conclusions The results of this external quality assessment for newborn hemoglobinopathy is generally satisfactory , except for HbBarts′and HbA2.The screening laboratories should improve their quality control system , take timely measures to correct mistakes during the analytic period and improve the accuracy of screening tests for newborn hemoglobinopathy.