Using a validated high-performance liquid chromatographic (HPLC) method, the pharmacokinetics of multi-constituents in Huangqin-Tang decoction were simultaneously studied both in the compound prescription and in each single herb decoction. At different intervals (0, 1, 2, 4, 8, 12, 24, 36, 48 h) after oral administration of the Huangqin-Tang decoction or a single herb decoction at a dose of 10 g x kg(-1), the concentrations of the constituents and their metabolites: baicalin (BG), wogonoside (WG), oroxylin-A-glucuronide (OG), baicalein (B), wogonin (W), oroxylin-A (O), paeoniflorin (PF), paeonimetabolin-I (PM-I), liquiritin (LG), liquiritigenin (L), glycyrrhizic acid (GL) and glycyrrhetinic acid (GA), were detected in the rat plasma. A new metabolite-3,5,7,2',6'-penta hydroxy flavone (visidulin I, VD-I) was found in rat plasma after oral administration of Huangqin-Tang or a single herb Huangqin decoction, and the quality was identified by HPLC and LC/MS. The pharmacokinetic parameters of the constituents and metabolites in the compound prescription and single herb decoctions were compared. All concentration-time curves corresponded to the one-compartment model. The constituents of BG, WG, OG, VD-I and LG had higher C(max) and AUC(0-lim) in the compound prescription than in the single herb decoction, and WG had significant difference. The constituents of PF, W and O only had a higher AUC(0-lim) in the compound prescription, and O had a significant difference. It was concluded, in brief, that there were obvious differences in the pharmacokinetic parameters of most constituents (especially constituent WG) between the compound prescription and single herb decoction. The constituents in the compound prescription had delayed absorption and elimination, a longer residence time in the body, and higher C(max) and AUC(0-lim), than those in the single herb decoction. Therefore, they were more efficient and durable, making them promising to exerting pharmacological effects in vivo.
Background: The aim of this study was to identify risk factors associated with the low anterior resection syndrome (LARS) and to construct a nomogram capable of predicting the risk of LARS in patients who undergo rectal cancer resection. Methods: About 538 patients who had undergone anterior resection were recruited as a development set. In addition, 114 patients with rectal cancer were analysed as a validation set to test the new nomogram. Patients in the development set were grouped into two separate cohorts: those with major LARS and those with minor or no LARS. Multiple logistic regression was conducted to detect risk factors for major LARS. Results: The prevalence of major LARS was 40.7%, of minor LARS was 28.6% and the proportion with no LARS was 30.7% in the development set. In multivariate analysis, female gender, preoperative chemoradiation, low tumour height, diverting ileostomy, postoperative anastomotic leakage were shown to be independently associated with major LARS occurring in patients after rectal cancer resection. The area under the curve (AUC) values of the nomogram were 0.726 (95% CI: 0.682-0.769) and 0.750 (95% CI: 0.655-0.845) in the development and validation sets, respectively. The calibration curves and Hosmer-Lemeshow goodness of fit tests showed that the model was acceptably accurate. Conclusion: A nomogram model based on risk factors could be valuable as a predictor of the probability of major LARS after rectal cancer surgery, and provides a guide that clinical staff can use to take preventive measures for high-risk patients.
Background There were differences in the recovery of bowel function and prolonged postoperative ileus (PPOI) between laparoscopic right colectomy (RC) and left colectomy (LC) under the guidance of enhanced recovery after surgery. Methods We selected 870 patients who underwent elective laparoscopic colectomy from June 2016 to December 2021, including 272 patients who had RC and 598 who had LC. According to 1:1 proportion for propensity score matching and correlation analysis, 247 patients who had RC and 247 who had LC were finally enrolled. Results The incidence of PPOI in all patients was 13.1%. Age, sex, smoking habit, preoperative serum albumin level, operation type, and operation time were the important independent risk factors based on multivariate logistic regression and correlation analysis for PPOI (p<0.05). Age, sex, body mass index, preoperative serum albumin level, operation time, and degree of differentiation between the two groups were significantly different before case matching (p<0.05). There were no statistically significant differences in baseline characteristics and preoperative biochemical parameters between the two groups after case matching (p>0.05). The incidence of PPOI in patients who had RC was 21.9%, while that in patients who had LC was 13.0%. The first flatus, first semi-liquid, and length of stay in LC patients were lower than those in RC patients (p<0.05). Conclusion The return of bowel function in LC was faster than that in RC, and the incidence of PPOI was relatively lower. Therefore, caution should be taken during the early feeding of patients who had laparoscopic RC.
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