ObjectiveTo investigate the treatment and safety of interferon ? plus Ribovirin for chronic hepatitis C after kidney transplantation. MethodsFive patients with chronic hepatitis C after kidney transplantation were administered with interferon ? (50 ?g) subcutaneously once a week, plus Ribovirin (600 mg) orally once daily. The levels of HCV-RNA, ALT and serum creatinine in patients’ serum were monitored monthly. ResultsFour in 5 patients presented normal ALT and negative HCV-RNA in serum 12 weeks after treatment, and obtained sustained viral response 24 weeks after interferon ? plus Ribovirin therapy. During treatment, renal graft rejection did not occur. The most frequent side-effects were the decrease of leukocyte and hemoglobin, myalgia and fever, but did not influence the course of treatment. ConclusionCombination of interferon ? with Ribovirin can be a valid therapeutic option in renal transplant recipients with hepatitis C, and shows no influence on the renal function.

Objective To present a medical image transmission scheme based on fast healthcare interoperability resources(FHIR) proxy gateway which can enable medical personnel to access the hospital's medical imaging system via the Internet using mobile terminals,and then raise the medical staffs' working efficiency.Methods RESTful WebServices as the interoperability mechanism of image data was used in combination with FHIR image resource model and construct an intermediate gateway to three-tier network architecture,in order to solve the problem of transmitting image data to mobile terminals through gateway via the hospital's network.Results During its half-year trial run,the Internet mobile terminal reading system based on this method ran stably and was in good condition,in the actual hospital environment.Conclusion The gateway method is simple,flexible,and can fully support the mobile terminals' access to the background image data center.

Objective To explore the relationship between blood uric acid levels and non-alcoholic fatty liver disease in patients with type H hypertension.Methods The clinical data of 284 patients with type H hyper-tension admitted to the Cardiovascular Department,Xianyang Hospital,Yan'an University in 2022 were collected and retrospectively reviewed.The patients were divided into NAFLD group(n=88)and normal group(n=196)according to whether they had NAFLD.The general information and laboratory indicators were compared between the two groups.Multivariate logistic regression analysis was conducted to explore the influencing factors of NAFLD in H-type hypertension patients.The draw ROC curves were plotted to observe the role of SUA in predicting NAFLD and select the optimal cutoff value based on the maximum Youden index.Results The NAFLD group demonstrated higher levels in body mass index,systolic blood pressure,diastolic blood pressure,total cholesterol,triglycerides,low-density lipoprotein cholesterol,SUA,γ-Glutamyl transpeptidase and alanine aminotransferase compared to the normal group,but significantly lower levels at age and high-density lipoprotein cholesterol(P＜0.05).The multivariate logistic regression analysis showed that elevated levels of BMI(OR=1.173,95%CI:1.066～1.291),SUA(OR=1.005,95%CI:1.001～1.010),and TG(OR=1.929,95%CI:1.042～3.574)were risk factors for NAFLD in patients with type H hypertension(P＜0.05).The ROC curves showed that the area under the curve(AUC)of SUA,TG,BMI,and their combination were 0.709,0.707,0.750,and 0.796,respectively.Conclusion type H hypertensive NAFLD patients have high levels of BMI,SUA,TG compared to non-NAFLD patients.Elevated SUA is a risk factor for type H hypertensive NAFLD patients,with SUA＞337 μmol/L as a significant value for predicting NAFLD.

【Objective】 To investigate the changing pattern of polymer content in the manufacturing process of human immunoglobulin, especially the correlation between pH value and polymer content, so as to provide basis for the control of polymer in human immunoglobulin products. 【Methods】 IVIG and HBIG low pH intermediate samples were taken and their pH values were adjusted to different gradients with 0.5 or 0.1 mol/L HCl. The polymer content was detected by HPLC, and the influence of different pH values on polymer content was observed and analyzed. 【Results】 With low pH value, the polymer content of samples increased from <1% to 10% with the decrease of pH value. When pH value was in the range of 3.85~3.10, the polymer content in the samples increased from 0.38% to 15.5% exponentially with the decrease of pH value. The logarithm of polymer was linearly correlated with pH value. 【Conclusion】 When pH value is low, polymer content of human immunoglobulin is significantly affected by pH value. Keeping pH value above 4.0 during the whole manufacturing process of human immunoglobulin is suggested.

ObjectiveTo establish a modified BISAP scoring system， and to investigate the value of the BISAP scoring system versus the modified BISAP scoring system in assessing the severity and condition of acute pancreatitis （AP）. MethodsFor the establishment of the new scoring system， a retrospective analysis was performed for the clinical data of 1 033 patients with AP who were admitted to Third Xiangya hospital of central South University from January 2019 to December 2021， and according to the revised Atlanta classification， they were divided into mild acute pancreatitis （MAP） group with 827 patients and severe acute pancreatitis （SAP） group with 206 patients. The two groups were compared in terms of clinical features， laboratory markers， and imaging data. A binary logistic regression analysis was performed for the statistically significant indicators to screen for the independent risk factors for SAP. The receiver operating characteristic （ROC） curve was used to obtain the optimal cut－off value corresponding to the maximum Youden index for each independent risk factor， and a score of 0 or 1 was assigned depending on different situations， which was integrated into the BISAP scoring system to establish a modified BISAP scoring system. For the validation of the new scoring system， a retrospective analysis was performed for the clinical data of 473 patients with AP who were admitted to Third Xiangya hospital of central South University from January 2017 to December 2018. BISAP score and modified BISAP score were determined for each patient， and the area under the ROC curve （AUC） was used to compare the value of the two scoring systems in predicting the severity and prognosis of AP. The chi－square test or the Fisher’s exact test was used for comparison of categorical data between two groups， and the independent－samples t test and the Mann－Whitney U test were used for comparison of continuous data between two groups. ResultsFor the establishment of the new scoring system， there were significant differences between the MAP group and the SAP group in mode of admission， length of hospital stay， ICU admission rate， number of deaths， underlying diseases， and incidence rate of complications （all P<0.05）. The binary logistic regression analysis showed that body temperature， neutrophil－to－lymphocyte ratio （NLR）， C－reactive protein （CRP）， albumin， triglycerides， D－dimer， fibrinogen， and MCTSI score were independent risk factors for SAP （all P<0.05）. The ROC curve analysis showed that CRP （AUC=0.921）， NLR （AUC=0.798）， D－dimer （AUC=0.768）， and MCTSI score （AUC=0.931） had a good predictive value for SAP， and the combination of these four indicators had an AUC of 0.976 and showed a significantly higher diagnostic efficiency than each indicator alone or the combination of two or three indicators （all P<0.05）. For the validation of the new scoring system， a total of 473 patients were enrolled， with 408 in the MAP group and 65 in the SAP group， and there were significant differences between the two groups in mode of admission， length of hospital stay， ICU admission rate， number of deaths， and incidence rate of complications （all P<0.05）. The modified BISAP score was better than the BISAP score in predicting SAP （AUC： 0.972 vs 0.887， P<0.05）， with an optimal cut－off value of >3 points. The modified BISAP score also had a relatively high value in predicting the mortality of AP patients （AUC=0.910）， but there was no significant difference between the modified BISAP score and the BISAP scoring system （AUC： 0.910 vs 0.896， P=0.707）. ConclusionThe modified BISAP score is better than the BISAP score in predicting the severity of AP and has a relatively high value in predicting the mortality of AP patients， giving a more accurate， objective， and early assessment of the condition of AP patients.