1.The construction and management of scientific research institutes portal websites
Xinyuan ZHANG ; Yue ZHOU ; Xueshi MAO
Chinese Journal of Medical Science Research Management 2022;35(4):246-251
Objective:Exploring effective methods of information management in the practice of constructing practical and beautiful websites.Methods:Building a website that fits the management concept through research needs, page planning and design, column layout and other links. Standardize the website management by improving the management system, improving the management mechanism, and building a solid foundation for information security protection.Results:The revised website becomes not only an important window and bridge for external publicity and communication of the scientific research institutes, but also a concentrated embodiment of the achievements of information construction and management quality.Conclusions:Unified construction and management of the website can integrate resources, realize the coordination and efficiency of scientific research management, significantly improve the timeliness of information dissemination, promote the diversification of publicity modes, and improve the quality of scientific research services.
2.Thyroid diseases induced by peginterferon and ribavirin treatment in patients with chronic hepatitis C: a retrospective study
Xueshi ZHOU ; Yuanwang QIU ; Yangqun YE ; Zhonghua LU ; Cuilan YIN ; Tingting SU ; Yanqun MAO ; Chao LI ; Lihua HUANG
Chinese Journal of Infectious Diseases 2017;35(8):472-476
Objective To retrospectively study the incidence and risk factors of thyroid disease induced by peginterferon plus ribavirin (Peg IFN/RBV) antiviral treatment in patients with chronic hepatitis C (CHC).Methods From January 2012 to December 2014,a total of 362 CHC patients were treated with Peg IFN/RBV antiviral therapy at Wuxi Fifth People's Hospital,among whom 315 patients were included in this study.Thyroid function,autoantibodies and thyroid ultrasound were measured at baseline,weeks 12,24 and 48.Comparisons between groups were performed using chi-square test for qualitative data and the unpaired t test for continuous variables.Results After treatment,thyroid dysfunction developed in 12.1% of patients.Positive anti-thyroid peroxidase and anti-thyrobolulin antibodies were detected in 21% of patients.The thyroid ultrasound changes developed in 14.9% of the patients,among whom normal thyroid function and thyroid autoantibodies negative were detected in 8.7 % of patients.The titer of thyroid autoantibodies increased steadily from baseline to the end of treatment.Logistic regression analysis showed that positive thyroid autoantibody (OR =5.423,95% CI:3.441 8.716),sustained virological response (OR=7.201,95%CI:6.231-10.206),female(OR=1.22,95% CI:0.951-2.212) were the risk factors of thyroid dysfunction.Conclusions Peg IFN/RBV antiviral treatment increases the incidence of thyroid disease in CHC patients.Positive thyroid autoantibody,sustained virological response and the female gender are the risk factors of thyroid dysfunction.
3.Prediction value of antithrombin Ⅲ activity in the prognosis of patients with acute-on-chronic liver failure
Xueshi ZHOU ; Yangqun YE ; Yanqun MAO ; Tingting SU ; Hejuan DU ; Xiaoye GUO ; Lingxiao ZHOU ; Ying ZHANG ; Lihua HUANG ; Yuanwang QIU
Chinese Journal of Infectious Diseases 2020;38(2):105-110
Objective:To analyze the relationship between antithrombin Ⅲ(AT-Ⅲ) activity and survival, bleeding and thrombosis complications in patients with acute-on-chronic liver failure (ACLF), and to explore the prediction value of AT-Ⅲ activity in the prognosis of ACLF patients.Methods:The clinical data of 130 hospitalized patients with ACLF were retrospectively collected in Wuxi No.5 People′s Hospital from January 1, 2013 to April 1, 2019. The liver function, international normalized ratio (INR), and 90-day survival rate were detected. The AT-Ⅲ activity values at admission, week two, week four, and week eight of hospitalization were recorded, and the occurrences of fecal occult blood and femoral vein thrombosis were also recorded. The measurement data were compared by t test, analysis of variance, or rank sum test, and the categorical data were compared by chi-square test. The risk factors affecting the survival of ACLF patients were analyzed by Cox regression. The survival analysis was performed using the Kaplan-Meier method. Results:At the end of 90-day follow-up of 130 patients, 56 patients died, 20 patients (15.38%) were fecal occult blood positive and 15 (11.54%) had femoral vein thrombosis. The baseline AT-Ⅲ activity in the death group was lower than that in the survival group ((17.89±13.68)% vs (36.03±11.96)%), and the difference was statistically significant ( t=-8.045, P<0.01). The baseline AT-Ⅲ activities in fecal occult blood positive and negative patients were (18.26±11.52)% and (25.06±10.97)%, respectively, and in femoral vein thrombosis and non-thrombotic patients were (17.55±10.33)% and (32.48±11.88)%, respectively. The differences were both statistically significant ( t=8.746 and 8.090, respectively, both P<0.01). Through dynamic monitoring of AT-Ⅲ, the AT-Ⅲ activity showed a downward trend in the death group, while that showed an upward trend in the survival group, but the differences were not statistically significant ( F=0.282 and 0.401, respectively, both P>0.05). The Cox regression analysis suggested INR (odds ratio ( OR)=1.364, 95% confidence interval ( CI) 1.078-1.726, P=0.010) and AT-Ⅲ activity ( OR=0.930, 95% CI 0.906-0.954, P<0.01) were the independent factors affecting the survival of patients with ACLF. The area under the receiver operator characteristic curve of the AT-Ⅲ activity for predicting 90-day survival outcome of the patient was 0.706 (95% CI 0.773-0.952, P<0.01), and the cut-off value was 25%. Patients with AT-Ⅲ activity ≥ 25% had a higher survival rate than those with AT-Ⅲ activity <25% ( χ2=58.20, P<0.01). Conclusions:AT-Ⅲ activity is associated with fecal occult blood positive and femoral vein thrombosis in ACLF patients. The AT-Ⅲ activity is an independent influencing factor for predicting the prognosis of ACLF patients. Patients with AT-Ⅲ activity less than 25% have the higher mortality rate.
4.The predictive value of liver failure-related etiology for clinical outcomes
Yan YAN ; Chunyan LYU ; Xueshi ZHOU ; Meifang ZHOU ; Richeng MAO ; Davgadorj CHANTSALMAA ; Ying ZHANG ; Zhonghua LU
Chinese Critical Care Medicine 2022;34(2):172-177
Objective:To assess the predictors of outcomes for different subtypes of liver failure, and the effectiveness of artificial liver support systems in the treatment of liver failure.Methods:The clinical data of 112 patients with hepatitis B virus (HBV)- and non-HBV-related liver failure admitted to the intensive care unit (ICU) of the Fifth People's Hospital of Wuxi were collected from January to December 2020. The relevant etiologies of acute, subacute, acute-on-chronic, subacute-on-chronic, chronic subtype liver failure were analyzed. The efficacies of artificial liver support systems in the treatment of various subtypes of liver failure were also compared. The correlation of various indicators was analyzed by Spearman correlation analysis, the risk factors affecting the prognosis of patients with liver failure were analyzed by multivariate Logistic regression equation, and receiver operator characteristic curve (ROC curve) of subjects was plotted to evaluate the predictive value of each risk factor for the prognosis of patients with liver failure.Results:Among the 112 liver failure patients, 63 were caused by hepatitis B and 49 were caused by non-hepatitis B. The liver failure caused by hepatitis B was 6 times higher than for men than for women, which was higher than that of non-HBV liver failure group (1.33 times). Antithrombin Ⅲ (AT Ⅲ) and total bilirubin (TBil) levels of subacute liver failure were higher than those of pre-liver failure in the HBV liver failure group [AT Ⅲ: (59.33±14.57)% vs. (35.66±20.72)%, TBil (μmol/L): 399.21±112.94 vs. 206.08±126.96, both P < 0.05]. The levels of AT Ⅲ in patients with pre-liver failure and chronic liver failure in the non-HBV liver failure group were significantly higher than those with acute liver failure [(58.33±15.28%), (44.00±19.10)% vs. (31.33±7.57)%, both P < 0.05], patients with acute liver failure had significantly lower level of TBil than pre-liver failure (μmol/L: 107.83±49.73 vs. 286.20±128.92, P < 0.05), the TBil levels in patients with subacute and acute-on-chronic liver failure were also significantly higher than that in pre-liver failure group (μmol/L: 417.27±118.60, 373.00±187.00 vs. 286.20±128.92, both P < 0.05). Patients with subacute liver failure, subacute-on-chronic liver failure and chronic liver failure in the non-HBV failure group were significantly longer than those in acute liver failure (days: 36.00±8.31, 27.52±11.71, 27.72±22.71 vs. 11.00±1.41, all P < 0.05). There was no statistically significant difference in the case fatality rate of using the artificial liver support system between the HBV failure group and the non-HBV failure group (55.6% vs. 50.0%, P < 0.05), the levels of AT Ⅲ in the two groups of surviving patients were significantly higher than that of the dead [HBV liver failure group: (36.20±6.26)% vs. (27.33±8.87)%, non-HBV liver failure group: (41.06±4.16)% vs. (28.71±12.35)%, both P < 0.01]. Correlation analysis showed that there was a clear positive correlation between AT Ⅲ and TBil in the dead patients of HBV liver failure group and the survival and death patients of non-HBV liver failure group ( r values were 0.069, 0.341, 0.064, and P values were 0.723, 1.196 and 0.761, respectively); there was a significant inverse correlation between AT Ⅲ and TBil in the HBV liver failure group ( r = -0.105, P = 0.745). Multivariate Logistic regression analysis showed that AT Ⅲ was an independent risk factor affecting the prognosis of patients with non-HBV liver failure [odd ratio ( OR) = 1.023, 95% confidence interval (95% CI) was -0.001 to 0.001, P = 0.007]. TBil was an independent risk factor affecting prognosis of patients with HBV liver failure ( OR = 1.005, 95% CI was -0.002 to -7.543, P = 0.033). The analysis of ROC curve showed that AT Ⅲ had a predictive value for the prognosis of patients with non-HBV liver failure, the area under the ROC curve (AUC) = 0.747, the 95% CI was 0.592-0.902, P = 0.009. When the optimal truncation value was 39.5%, its sensitivity and specificity were 83.33% and 56.25%, respectively. Conclusions:Artificial liver support system treatment of liver failure was difficult to effectively reduce the mortality of patients with end-stage liver failure. In addition to AT Ⅲ, TBil also could be used as an indicator to assess liver compensatency and predict prognosis in liver failure patients.