Objective:AFM1-BSA and AFM1-OVA were synthesized and then identified in this experiment.Methods: Using oximation method ,AFM1 was transformed to oxime compounds while the reaction process was monitored via TLC method aiming to identify the compounds.Coupled with carrier protein BSA and OVA respectively , we obtained AFM1-BSA and AFM1-OVA, then identified synthetic antigen via UV spectrophotometry and SDS-PAGE.Antigens were injected into experimental animals , finally obtaining the murine multi-antiserum.Eventually , the multi-antiserums were detected via indirect inhibition ELISA method to judge whether the antigens were effectively or not.Results:After oximation reaction ,the migration distance of oxime compounds in the thin layer plate was shorter.The maximum absorption peak of AFM1-BSA occurred in 274 nm,and was inconsistent with both UV absorption peaks of BSA and AFM 1.The electrophoretic velocity of AFM 1-BSA was less than that of BSA.All the titers of three immunized mice were 1×10-4 approximately;the multi-antiserum from No.3 sample had the best sensitivity ,its IC50 was 359.9 ng/ml.Conclusion:In this study,we obtained AFM1 artificial antigen and murine multi-antiserum of high sensitivity.

OBJECTIVE:To explore the method for the scientific and standard management of clinical trial drugs. METHODS:By theory analysis and empirical analysis,the management model of clinical trial drugs in our hospital was introduced in terms of software and hardware construction of clinical trial pharmacy,the formulation of drug management system and standard operation procedure,regular quality control and drug information management platform construction,etc. RESULTS:In the experience of our hospital,it could safeguard the safety of drug use in subjects and scientificity and preciseness of drug clinical trial results through the concentrated administration trial drugs by full-time pharmacists according to national laws and regulations,management system and standard operation procedure,and regular quality control inspection by quality control group. CONCLUSIONS:Drug clinical trial institute strictly abide the requirements of Good Clinical Practice,strengthen the management of trial drugs and im-prove information management continuously,which is of important significance to construct standardized,detailed and high-effi-ciency centralized management system of clinical trial drugs.

With the widespread application of medical big data and the rapid development of nursing informatics, the application of big data in the service of nursing science induces high attention of nursing field. From the perspective of the concept of big data and their characteristics, this paper explained the technique of big data and its processing flow in details. Combined with five application fields of medical big data, this paper not only summarized the application situation of big data in nursing field, but discussed and analyzed the development prospect of nursing big data and its difficulty, which offers reference for the nursing academic circle.

Objective To investigate the current status of ICU delirium management so as to provide reference for the clinical management of ICU delirium.Methods A total of 6 ICU units from two class Ⅲ grade A hospitals in Beijing were selected by convenient sampling. The spot investigation method was used to investigate the delirium management status and effect from June to September 2016.Results Six ICU units had neither developed a complete delirium management system and standardized process, nor systematically evaluated delirium risk factors. When delirium patients had symptoms, delirium was diagnosed according to the clinical experience in 6 ICU units, while specialist consultation was used in 3 ICU units. None of these units used any delirium screening tool. The delirium prevention rate was from 46.2% to 76.9%. The implementation rate of delirium treatment was 65.8%. Among 38 cases of delirium patients diagnosed by medical staff, 25 cases (65.8%) of which were treated. During the study, there were 106 cases of delirium patients; the incidence of delirium was 30.8%; the delirium identification rate of medical staff was 35.8%.Conclusions The normalization of routine monitoring of delirium in ICU is necessary. Prevention and treatment for delirium is inadequate. The effect of delirium management needs to be further improved.

BackgroundDomestic researches on the professional identity of psychiatrists are still relatively rare up to now， and effective evaluation tools remain inadequate. ObjectiveTo construct a professional identity questionnaire for psychiatrists with high reliability and validity， so as to provide an effective tool for the evaluation of professional identity of psychiatrists. MethodsA self-designed questionnaire titled "Professional Identity Questionnaire" was compiled. After preliminary screening of items and expert consultation， an initial questionnaire was formed and administered to a sample of 400 psychiatrists， and the final questionnaire was assessed by item analysis， reliability analysis and validity analysis. ResultsThe Cronbach's α coefficient was 0.930 for the final questionnaire， and ranged from 0.817 to 0.920 for each dimension. The value of KMO was 0.904 （χ²=2 931.652， P<0.01）. The cumulative variance contribution rate of factors extracted from exploratory factor analysis was 68.306%. Confirmatory factor analysis showed that the integrity of fit indexes were χ²/df=1.234， GFI=0.905， NFI=0.916， RMSEA=0.036， CFI=0.983， IFI=0.983. The final version of the professional identity questionnaire for psychiatrists consisted of 23 items relating to 4 dimensions， namely， professional cognition， professional behavior， professional emotion and professional values. ConclusionThe professional identity questionnaire for psychiatrists has good reliability and validity， and can be used as an effective tool to evaluate the professional identity of psychiatrists. ［Funded by Foundation of Sichuan Research Center of Applied Psychology of Chengdu Medical College （number， CSXL-22304）； Science and Technology Guiding Plan Project of Guangyuan City （number， 22ZDYF0072）］