Objective:To explore the influence ofDan Shou Tang to fetal loss induced by APA.Methods:One hundred of10-week pregnant SD rats were divided randomly into two groups, every group were divided randomly into nourishing kidney and promoting blood flow group A, nourishing kidney group B, promoting blood flow group C, group D-APS model group and group E--blank control group.From the first day ofpregnancy, the rats in group A were given Dan Shou Tang through intragastric administration;the rats in group B were given formula to nourish kidney and rats in group C were given formula to promote blood flow, while group D and group E, as the control were given the corresponding physiological brine through intragastric administration.Then on the eighth and the twelfth day ofpregnancy, all rats ofgroup A, B, C and D were given multi-site subcutaneous injecting ofpurified ACA-IgG or LA-IgG with a dosage of15mg/ml, fats ofgroup E were injected the corresponding physiological brine.On the 15th day ofpregnancy, the rats were killed for samples.Results:Compared with APS model group, fetal absorptivity, ACA and APTT level were dramatically decreased in group A, B and C(P

Objective To establish a new model of indocyanine green (ICG) clearance test combined with total bilirubin actual resident rate (TBARR) for predicting the short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) treated with artificial liver support system (ALSS) therapy. Methods A retrospective analysis was performed for the clinical data of 136 patients with HBV-ACLF who underwent ALSS therapy in Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, from June 2017 to July 2021, and according to the prognosis at 3-month follow-up, they were divided into survival group with 92 patients and death group with 44 patients. Related indicators were measured at the time of the confirmed diagnosis of ACLF, including biochemical parameters, coagulation, indocyanine green retention rate at 15 minutes (ICGR 15 ), and effective hepatic blood flow (EHBF), and related indices were calculated, including Model for End-Stage Liver Disease (MELD) score, MELD difference (ΔMELD), Child-Turcotte-Pugh (CTP) score, total bilirubin clearance rate (TBCR), total bilirubin rebound rate (TBRR), and TBARR. The Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups; the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was used to establish a combined predictive model for the prognosis of HBV-ACLF after ALSS therapy. The area under the ROC curve (AUC) was used to compare the accuracy of various models in judging the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the Z test was used for comparison of AUC. Results There were significant differences between the death group and the survival group in MELD score, ΔMELD, CTP score, ICGR 15 , EHBF, TBRR, TBARR, neutrophil count, percentage of neutrophils, lymphocyte count, platelet count, alkaline phosphatase, gamma-glutamyl transpeptidase, total bilirubin, albumin, prothrombin time, international normalized ratio, prothrombin time activity, prealbumin, fibrinogen, serum sodium, age, and the incidence rate of hepatic encephalopathy (all P < 0.05). The multivariate logistic regression analysis showed that age (odds ratio [ OR ]=1.096, 95% confidence interval [ CI ]: 1.056-1.137, P < 0.001), neutrophil count ( OR =1.214, 95% CI : 1.044-1.411, P =0.012), TBRR ( OR =0.989, 95% CI : 0.982-0.996, P =0.001), TBARR ( OR =1.073, 95% CI : 1.049-1.098, P < 0.001), ΔMELD ( OR =1.480, 95% CI : 1.288-1.701, P < 0.001), CTP score ( OR =2.081, 95% CI : 1.585-2.732, P < 0.001), and ICGR 15 ( OR =1.116, 95% CI : 1.067-1.168, P < 0.001) were independent influencing factors for short-term mortality in patients with HBV-ACLF after ALSS therapy. The binary logistic regression analysis was used to establish four combined predictive models for predicting the prognosis of HBV-ACLF after ALSS therapy, i.e., TBRR-ICGR 15 , TBARR-ICGR 15 , TBARR-ICGR 15 -ΔMELD, and TBARR-ICGR 15 -ΔMELD-age, with an AUC of 0.830, 0.867, 0.900, and 0.917, respectively, and the combined predictive models had a larger AUC than each index alone (age, neutrophil count, TBRR, TBARR, ΔMELD, MELD score, CTP score, and ICGR 15 ), among which the TBARR-ICGR 15 -ΔMELD-age model had the largest AUC. The combined models TBARR-ICGR 15 -ΔMELD and TBARR-ICGR 15 -ΔMELD-age had sensitivities and specificities of > 80%. Conclusion The combined predictive model established by ICGR 15 and TBARR has a good value for in predicting the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the combined predictive model has a better accuracy than the single model in judging prognosis.