Many studies have shown that experimental umbilical cord blood stem calls are even more primitive, more self-renewal, differentiation and reproductive potential of ex vivo expansion than bone marrow stem cells and peripheral blood stem calls. The preservation of cord blood stem cells and umbilical cord blood transplantation, and other clinical applications have made significant progress, but blood is also facing many problems. This article reviewed a variety of cord blood stem/progenitor calls of the biological characteristics of liver calls proliferation, differentiation, and the building of umbilical cord blood bank of neurology in clinical application.

Objective To investigate the immunization effect of influenza A/H1N1 vaccine in health care workers (HCW) in Inner Mongolia Greater Khingan Mountains area. Methods Five hundred and five HCW who received A/H1N1 influenza vaccination (immunized group) and 129 staffs who didn't receive the vaccination (unimmunized group) were randomly sampled for semiquantitative testing of serum H1N1 antibody (IgG) levels by enzyme-linked immunosorbent assay (ELISA).Results were analyzed and stratified by age, sex, occupation and the time interval between the time of vaccination and serum sample collection. The antibody positive rates of the two groups were compared by x2test. Results There were 401 (79. 4%) HCW whose H1N1 antibody were positive and 50 (9.9%) whose antibody were weak positive among 505 immunized HCW. While among 129 unimmunized HCW, there were 59 (45.7%) whose antibody were positive and 15 (11.6%) whose antibody were weak positive. The seroconversion rates of specific antibody were not significantly different among the different age groups after receiving A/H1N1 influenza vaccine (P＞ 0.05).However, there were statistical differences of the seroconversion rates among different sex groups (men 95.7% vs women 87.4% in immunized group, x2=6.40, P＜0.05; and men 73.3% vs women 52.5% in unimmunized group, x2 =4.07, P＜0.05) and different occupation groups (doctor 86.0% vs nurse 94.5% in immunized group, x2 = 9. 16, P＜0.01; and doctor 43. 8% vs nurse 75.0% in unimmunized group, x2=12.61, P＜0.01 ). The seroconversion rate was 81.5% after 80 to 89 days of vaccination, which was significantly lower than those after 30 to 39, 50 to 59 days and 60 to 69 days of vaccination, which was 100.0%, 94.7% and 93.6%, respectively (x2 =3.96, P ＜0.05; x2=7.15, P ＜0. 01; x2 = 9. 98, P＜0. 01). Conclusions A/H1N1 influenza vaccination can induce effective immune response in HCW in Greater Khingan Mountains area of Inner Mongolia. However,the level of specific antibody significantly reduces after 80 to 89 days of vaccination.

Tick-borne encephalitis,also called forest encephalitis,is caused by tick-borne encephalitis virus.Central nervous system lesion is the major clinical symptom of tick-borne encephalitis,as an acute infectious disease,the case fatality rate is as high as 10％-20％.Virology experts consider it as a key and difficult point in recent years.This paper summarizes the progress in research of epidemiological characteristics,pathogenesis,clinical manifestations,outcome,diagnosis and treatment of tick-borne encephalitis to provide evidence for the prevention and treatment of tick-borne encephalitis.

Objective: To establish a set of rules for autoverification of blood analysis, in order to provide a way to validate autoverification rules for different analytical systems, which can ensure the accuracy of test results as well as shorten turnaround time (TAT) of test reports. Methods: A total of 34 629 EDTA-K2 anticoagulated blood samples were collected from multicenter cooperative units including the First Hospital of Jinlin University during January 2017 to November 2017. These samples included: 3 478 cases in Autoverification Establishment Group, including 288 cases for Delta check rules; 5 362 cases in Autoverification Validation Group, including 2 494 cases for Delta check; 25 789 cases in Clinical Application Trial Group. All these samples were analyzed for blood routine tests using Sysmex XN series automatic blood analyzers.Blood smears, staining and microscopic examination were done for each sample; then the clinical information, instrument parameters, test results and microscopic results were summarized; screening and determination of autoverification conditions including parameters and cutoff values were done using statistical analysis. The autoverification rules were input into Sysmex Laboman software and undergone stage Ⅰ validation using simulated data, and stage Ⅱ validation for post-analytical samples successively. True negative, false negative, true positive, false positive, autoverification pass rate and passing accuracy were calculated. Autoverification rules were applied to autoverification blood routine results and missed detection rates were validated, and also data of autoverification pass rate and TAT were obtained. Results: (1)The selected autoverification conditions and cutoff values included 43 rules involving WBC, RBC, PLT, Delta check and abnormal characteristics. (2)Validation of 3 190 cases in Autoverification Establishment Group showed the false negative rate was 1.94%(62/3 190)(P<0.001), autoverification pass rate was 76.74%, passing accuracy was 97.47%; Validation of 2 868 cases in Autoverification Validation Group, the false negative rate was 3.38%(97/2 868)(P=0.002), autoverification pass rate was 42.26%, passing accuracy was 92.00%; Validation of Delta check on 288 cases in Autoverification Establishment Group and 2 494 cases in Autoverification Validation Group showed the false negative rates were respectively 1.39% and 2.61%(P<0.001). (3)Three hospitals adopted these rules of autoverification for 25 789 blood routine samples, and found that the average TAT of blood routine test reports were shortened by 24min, 32min and 7min respectively, the rate of samples reported within 30min were elevated by 33%, 53% and 7%. The autoverification pass rates were 72%-74%. Conclusions The application of this set of 43 autoverification rules in blood sample analysis can ensure test quality while shortenTAT and improve work efficiency. It is worth pointing out that for the same analytical systems in this research, validation is necessary before application of this set of rules, and periodic validation is required during application to make necessary adjustment; for different analytical systems, as this research provide a way to establish autoverification rules for blood routine tests.Clinical labs may establish their own suitable autoverification rules on the basis of technological parameters. (Chin J Lab Med, 2018, 41: 601-607)

Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.