OBJECTIVE:To prepare anti-microbicide contraceptive gel and establish its quality control method. METHODS: The gel was prepared with octoxynol and policresulen as main ingredients and HPMC as matrix. The content of octoxynol in the gel was determined by HPLC,and the content of policresulen in the gel was determined by titration method. RESULTS:Prepared gel was well-proportioned and of good viscidity and its identification and test were up to the standard. The linear rang of octoxynol was 250～1 500 mg?L-1(r=0.999 6)with an average recovery of 100.84%(RSD=0.74%,n=9). The average labeled amount of policresulen was 106.64%(n=3). CONCLUSION:This preparation is feasible and stable in quality,and the quality control method is simple and accurate.

Objective To explore the methods of nursing care and the effects of lumbar disc herniation treated by minimally invasive intervertebral foramen mirror. Methods A total of 40 patients with lumbar disc herniation were selected from June 2012 to October 2013 in Zaozhuang Hospital of TCM and percutaneous endoscopic lumbar discectomy ( PELD ) was operated for them which involved to remove prominent nucleus pulposus tissue and seal broken fiber ring under the endoscope. At the same time, Perioperative nursing care was applied to them including psychological care, rehabilitation exercise, diet and discharge guidance and so on. Results The differences were statistically significant in scores of VAS in lower limb pain and ODI in low back pain among 40 patients before and after operation (P <0. 05). After operation, there were no significant differences among different points (P > 0. 05). Classes of recovery about neurological function included excellent level for 24 patients ( pain disappearing, no limitation of movement function, returning to work or normal activity) , good for 15 ( with occasional pain, able to do light work) , medium for 1 ( some improvement, with pain) with excellent rate of 97. 5%. Conclusions It is an important guarantee for improving quality of nursing and providing high quality nursing care for patients, so as to nurses can conduct nursing and rehabilitation function training guidance reasonably.

In order to explore the platform role and practicability of network teaching in the teaching and training of clinical blood transfusion. By building an "Internet+APP" teaching and training management platform, this research develops personalized teaching and training courses and assessment plans for different groups such as interns, trainees and on-the-job staff in the blood transfusion department, so as to achieve time-saving and high-efficient training results. The results showed that the interns' assessment scores were all up to standard, with more than 90 points accounting for 66% and 80-90 points accounting for 34%. The assessment scores of the trainees and on-the-job personnel were above 90 points, which showed that they had significant improvement of their professional level. The teaching resources of this teaching mode are stable, centered on the trainees, free from traditional time and space constraints, high-efficient, time-saving, and easy to accept.

【Objective】 To establish the multiple regression equation based on R language in order to guide scientific and reasonable blood preparation for clinicians before liver transplantation. 【Methods】 Basic clinical information, including gender, age and disease types, of 183 liver transplant patients were collected, and results of preoperative blood routine(MCV, MCHC, Hct, RBC, Hb and Plt), prothrombin time(PT), activated partial thromboplastin time(APTT), thrombin time(TT), fibrinogen(FIB), international normalized ratio(INR) and D dimer and antithrombin Ⅲ(AT Ⅲ), operation time, as well as intraoperative transfusion volume of red blood cells, plasma, cryoprecipitates and platelets were analyzed using R language analysis.The correlation between blood component transfusion volume and analysis factors was calculated by generalized linear function, and the regression equation for predicting blood preparation was obtained by Poisson regression analysis. 【Results】 Intraoperative transfusion rates of RBC, plasma, platelets and cryoprecipitates in liver transplantation patients were 85.79%(8.35±8.78 U), 100%(1 083±742.80 mL), 18.58%(0.26±0.60 treatment dose), and 12.02%(2.49±7.51 U), respectively. According to the analysis factors with good correlation, the prediction equations for the volume of each blood component were as follows: RBC: 3.348+ 1.276×Time-0.02×Hct-0.16×RBC-0.006×Hb, plasma: 6.901+ 0.826 ×Time-0.003×Hb, platelets: -1.275+ 1.866×Time-0.013 Hb+ 0.025×TT, and cryoprecipitates: -7.183+ 2.888×Time + 0.067×MCV+ 0.029×TT. 【Conclusion】 It is of great clinical significance to use R language to carry out multivariate regression analysis and establish the prediction regression equation of blood preparation before liver transplantation, which can provide scientific, reasonable and sufficient blood supply in operation.

【Objective】 To explore the application of machine learning in scientific and rational blood preparation and predictive analysis for surgical blood usage before liver transplantation surgery. 【Methods】 Clinical basic information including gender, age, clinical diagnosis and surgical methods of 356 liver transplantation patients were collected. The duration (Time) and preoperative laboratory test results of hemoglobin (Hb), hematocrit (Hct), platelet count (Plt), prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (Fib), total bilirubin (TBIL), albumin (ALB), creatinine (Crea) and total protein (TP), as well as the amount of intraoperative blood transfusion were collected. A machine learning model capable of predicting the risk of massive blood transfusion during liver transplantation surgery was established by Python, and was evaluated to select the optimal predictive model. 【Results】 Among the 7 machine learning models constructed, the logistic regression model performed the best (AUROC: 0.90, F1 score: 0.82), with an accuracy of 79.44% and precision of 79.69%, followed by the random forest classifier (AUROC: 0.87, F1 score: 0.83), with an accuracy of 79.44% and precision of 77.94%. 【Conclusion】 Establishing a machine learning prediction model by Python is of significant clinical importance for scientific blood preparation, predicting the risk of massive blood transfusion and ensuring the safety of blood use in liver transplantation surgery.

【Objective】 To investigate the association between HLA-A, B, DRB1 alleles and chronic renal failure (CRF) in Han population of Shandong Peninsula. 【Methods】 Sequence specific oligonucleotide probe-polymerase chain reaction (PCR-SSO) was used to genotype 880 patients with CRF in the Han population of Shandong Peninsula. The allele frequencies of HLA-A, B and DRB1 were compared with 865 hematopoietic stem cell voluntary donors, and the association between HLA gene polymorphism and CRF was analyzed. 【Results】 A total of 33 HLA-A alleles, 76 HLA-B alleles and 39 HLA-DRB1 alleles were detected in the study group. DRB1^*11∶01 (6.70% vs 4.45%) and DRB1^*12∶02 (8.69% vs 5.90%) in CRF group were significantly higher than those in the control(Pc<0.05), and B^*15∶11 (1.82% vs 3.64%) among CRF group was significantly lower compared with the control(Pc<0.05). The frequency of three loci haplotypes A^*30∶01 -B^*13∶02 -DRB1^*07∶01 (16.61% vs 7.61%), A^*33∶03 -B^*58∶01 -DRB1^*03∶01 (4.57% vs 1.62%) and A^*02∶07 -B^*46∶01 -DRB1^*09∶01 (4.06% vs 1.09%) in CRF patients were significantly higher than that of the control(Pc<0.05), which were strongly correlated with CRF. 【Conclusion】 The data on the association of HLA-A, B, DRB1 alleles and haplotype polymorphisms with CRF in Shandong Peninsula has been obtained in this study. DRB1^*11∶01 and DRB1^*12∶02 may be the susceptibility risk factors for development of CRF, and B^*15∶11 may be protective genes against development of CRF, and A^*30∶01 -B^*13∶02 -DRB1^*07∶01, A^*33∶03 -B^*58∶01 -DRB1^*03∶01 and A^*02∶07 -B^*46∶01 -DRB1^*09∶01 may be the susceptible haplotypes in Han population of Shandong Peninsula.

【Objective】 To investigate the profile of Rh blood group antigen in pregnant women and hemolytic disease of the newborn (HDN) in Qingdao area. 【Methods】 10 597 pregnant women admitted in our hospital during October 2016 to February 2020 were selected and the ABO, Rh blood group system antigen (D, C, c, E, e) and the irregular antibody were detected, and positive antibody was further identified. The irregular antibody of Rh blood group in pregnant women was statistically analyzed according to the history of blood transfusion and pregnancy. Twelve HDN cases were studied, and the results of ABO, Rh blood group antigen and irregular antibody, antibody property identification, HDN test and blood routine test were retrospectively analyzed. 【Results】 Among 10 513 cases of Rh-positive pregnant women, the common phenotype was CCee>CcEe>Ccee>ccEE>ccEe; among 84 cases of Rh-negative pregnant wome, the common phenotype was ccee>Ccee> CCee> ccEE>ccEe. The positive rate of irregular antibody was 1.06% (112/10597) in 10 597 pregnant women, of which the Rh antibody was the highest, rated at 56.25% (63/112). For 64 pregnant women with positive antibodies, antibodies against Rh system were different from those against other systems when stratified by the history of blood transfusion (P<0.05) and pregnancy (P<0.05). Twelve neonates were diagnosed with Rh-HDN, with IgG anti-E in 6 cases, IgG anti-D 3, IgG anti-cE 1, IgG anti-C 1and IgG anti-c 1. Among them, 3 were seriously ill and treated with blood exchange. 【Conclusion】 As two-child policy was implemented, the incidence of Rh HDN had increased. ABO, RhD, C, c, E and e matched transfusion should be administered for women at childbearing age. Meanwhile, clinical termination of delivery was recommended for pregnant women, who probably develop Rh-HDN and are with critical situation. Rh phenotype matched fresh blood should be prepared, which has great clinical significance for rescuing newborns.

【Objective】 To investigate the distribution characteristics of Rh blood group antigen phenotypes, haplotypes and irregular antibodies between patients in our hospital and local blood donors, so as to ensure safe and effective blood transfusion and improve the rationality and scientificity of clinical blood transfusion. 【Methods】 A total of 113 326 blood samples, from hospitalized patients in our hospital and local blood donors from October 2015 to March 2020, were subjected to Rh antigen typing and irregular antibody detection. The frequency of Rh phenotypes, haplotypes, and irregular antibodies were retrospectively analyzed and calculated. Chi square test was used to compare the data among different population groups. Rh antigen typing and irregular antibody detection were completed using the automatic blood group analyzer. 【Results】 The prevalence of negative RhD was 0.36% (408/113 326). The most prevalent Rh phenotype was DCCee [40.69%(46 112/ 113 326)] followed by DCcEe [36.82%(41 727/ 113 326)]. Anti-E was the most common irregular antibody, accounting for [0.26%(295/ 113 326)], and DCe [62.51%(70 840/ 113 326)] was the most common haplotype. The most common Rh phenotypes and haplotypes in Caucasians in Germany, North Indian and North African were DCcee, DCCee and Dccee, while DCe, DCe and Dce, respectively. 【Conclusion】 The distribution characteristics of Rh phenotypes, haplotypes and irregular antibodies of patients in our hospital and local blood donors were in line with the distribution characteristics of the population in northern China. Corresponding plans concerning blood storage and collection, as well as the establishment of Rh blood type registry should be carried to effectively ensure the safety, rationality and accuracy of clinical blood transfusion.