Objective To observe the effect of Shenfuqing injection combined with glucocorticoidonthe treatment of septic shock.Methods 93 cases from October 2013 to June 2015 were randomly divided into the observation group(47 cases) and the control group(46 cases).On the basis of anti infection, the observation group were given Shenfu injection combined with green glucocorticoid, and the control group were given glucocorticoid.Acute physiology and chronic health evaluation (APACHE-II score), down calcium original (PCT), high-sensitivity C-reactive protein (hs-CRP), interleukin-10 (IL-10), interleukin-1 (IL-1), interleukin-6 (IL-6), and effect in the two groups were followed-up and compared.Results APACHE-II score, PCT respectivelywere(41.69±6.25)points and (3.01±0.73)ng/mL, which were lower than (52.19±7.06) points and (4.52±1.04)ng/mL in the control group, and the difference is significant (P<0.05).hs-CRP and IL-10 were(16.38±2.45)mg/L and (26.08±3.34)pg/mL in the observation group, which were lower than (21.69±3.02)mg/L and (32.18±4.17)pg/mL in the control group, the difference was significant (P<0.05).IL-1 and IL-6 were (6.49±2.00)ng/Land (15.62±5.67)pg/mL in the observation group, which were lower than (10.45±2.26)ng/L and (26.19±7.02) pg/mLin the control group, and the difference was significant (P<0.05).The total effective rate was 74.47%, which was significantly lower than 52.17% in the control group, and the difference was significant (P<0.05).Conclusion It which Shenfuqing injection combined with glucocorticoid was use in the treatment of septic shock can significantly reduce the inflammatory factors, relieve symptoms.

AIM:To develop and validate a predic-tive model for the risk of high plasma concentra-tion of voriconazole,and to guide clinical individual-ized medication of voriconazole.METHODS:Based on the real-world data from the hospital Informa-tion system(HIS),the clinical data of hospitalized patients who received voriconazole treatment and underwent voriconazole plasma concentration monitoring in our hospital from August 2017 to Au-gust 2021 were collected.Univariate and multivari-ate logistic regression analysis were performed on the included influencing factors.At the same time,in order to minimize the potential collinearity and overfitting between variables,the least absolute shrinkage and selection operator regression were used to screen the potential predictors.Logistic re-gression analysis was used to construct a predic-tion model for the risk of high plasma concentra-tion of voriconazole.C-index,calibration chart and clinical decision curve analysis were used to evalu-ate the discrimination,consistency and clinical ap-plicability of the model,and a nomogram was drawn.RESULTS:A total of 147 patients were en-rolled in this study.Plasma albumin and procalcito-nin were selected as predictive variables for Logis-tic regression analysis,and the prediction model was established.Draw predict voriconazole nomo-gram risk blood drug concentration on the high side.The receiver operating characteristic curve showed that the AUC of the prediction model for predicting the risk of high plasma concentration of voriconazole was 0.787(95%CI 0.663-0.911).Vori-conazole blood drug concentration was high inci-dence of cut-off value was 33.06%,sensitivity was 63.64%,87.65%and 58.33%positive predictive val-ue,negative predictive value of 89.87%.The cali-bration curve showed good consistency,and the clinical decision curve showed that the model had a positive net benefit when the threshold probabili-ty was between 6.67%and 99.99%.CONCLUSION:The predictive model for the risk of high plasma concentration of voriconazole has good predictive efficacy,which can provide guidance for clinical in-dividualized medication of voriconazole.