Determination of seven ingredients of different grades Alismatis Rhizoma by QAMS method / 中国中药杂志

The present study is to establish a quantitative analysis of multi-components by single marker(QAMS) for determining contents of seven compositions in Alismatis Rhizoma, alismoxide, alisol C 23-acetate, alisol A, alismol, alisol B, alisol B 23-acetate and 11-deoxy-alisol B. Six relative correction factors(RCFs) of alismoxide, alisol C 23-acetate, alisol A, alismol, alisol B and 11-deoxy-alisol B were established in the UPLC method with alisol B 23-acetate as the internal standard, which was to calculate the mass fraction of each. The mass fraction of seven effective constituents in Alismatis Rhizoma was calculated by the external standard method(ESM) at the same time. Compared with the content results determined by the ESM and QAMS, the feasibility and accuracy of QAMS method were verified. Within the linear range, the RCFs of alismoxide, alisol C 23-acetate, alisol A, alismol, alisol B, 11-deoxy-alisol B were 0.946, 4.183, 0.915, 1.039, 0.923 and 1.244, respectively, with good repeatability in different experimental conditions. There was no significant difference between the QAMS method and ESM method. Then, QAMS method was applied to determination of the different degree Alismatis Rhizoma from different areas. As a result, the concentrations of 7 components have differences in different areas, but no significant differences in different grades. The QAMS method is feasible and accurate for the determination of the seven chemical compositions, and which can be used for quality control of Alismatis Rhizoma.

The value of early postoperative albumin reduction in the prediction of surgical site infection after colorectal cancer surgery / 肠外与肠内营养

Objective: To investigate the value of early postoperative monitoring of serum albumin in the prediction of surgical site infection (SSI) in colorectal cancer surgery. Methods: A total of 169 patients undergoing colorectal cancer surgery between December 2012 and January 2016 were collected for this study. Patients was divided into SSI group and no SSI group according to whether SSI occurred after surgery. We continuously collected venous blood three days after surgery. Serum albumin, C-reactive protein level, Procalcitonin and White blood-cell were performed to evaluate the relationship between albumin changes and postoperative SSI. Results: There were 40 cases (23. 7％) of SSI, and the average time for clinical diagnosis of SSI was 3. 2 days after surgery. ALB decreased, and PCT, CRP, and WBC levels increased in the SSI group on the second postoperative day. The decrease in albumin concentration (A ALB2) was significantly higher on the second postoperative day than in the SSI group (P ＜ 0. 001). Receiver-operating characteristics (ROC) curve analysis showed that △ ALB2 had significant value in predicting the occurrence of SSI (area under the curve = 0. 864, sensitivity 97. 5％, specificity 70. 5％), and the optimal cutoff was 15. 5％. Multiple regression analysis showed that A ALB2 ＞15. 5％ was an independent predictor of SSI (OR=2. 10, 95％CI=1. 52-2. 90, P ＜ 0. 001). Conclusions: The dynamic change of serum albumin is valuable to predict the occurrence of SSI after colorectal cancer surgery.