Efficacy and safety of parecoxib and flurbiprofen axetil for perioperative analgesia in children: a network meta-analysis.

Objective: The aim of this study was to systematically review the efficacy and safety of parecoxib and flurbiprofen axetil for perioperative analgesia in children through Bayesian network meta-analysis. Methods: We systematically searched PubMed, Embase, Cochrane Library, Web of Science, Sinomed, CNKI, VIP, and Wanfang Data databases on 18 July 2022 to obtain randomized controlled trials comparing perioperative parecoxib or flurbiprofen with placebo or standard treatment for pediatric analgesia. The outcomes were the postoperative pain score and the incidence of adverse events. The Gemtc package of R-4.0.3 and Stata 17.0 were used for Bayesian network meta-analysis. Results: We retrieved 942 articles and 49 randomized controlled trials involving 3,657 patients who met the inclusion criteria. Compared with children who received placebo treatment, those who received flurbiprofen axetil had lower pain sores at each time point within 24 h postoperatively, and those who received parecoxib had lower pain sores at each time point within 12 h postoperatively. Compared with children who received tramadol treatment, both the children who received flurbiprofen axetil or parecoxib had lower pain scores at 8 h postoperatively. The ranking results demonstrated that flurbiprofen axetil had significant superiority in reducing pain scores at 2, 4, and 12 h postoperatively, and parecoxib had significant superiority in reducing pain scores at 0, 0.5, 1, 6, 8, and 24 h postoperatively. In terms of safety, compared with children who received placebo, those who received flurbiprofen axetil or parecoxib had a lower incidence of total adverse events and postoperative agitation. Compared with tramadol, flurbiprofen axetil and parecoxib both significantly reduced the incidence of total adverse events and postoperative nausea and vomiting. Compared with flurbiprofen axetil or fentanyl, parecoxib significantly reduced the incidence of postoperative nausea and vomiting. The ranking results showed that parecoxib was advantageous in decreasing the incidence of total adverse events and postoperative nausea and vomiting. Conclusion: Flurbiprofen axetil was most effective at reducing pain scores at 2, 4, and 12 h postoperatively. Parecoxib had an advantage in terms of reducing pain scores at 0, 0.5, 1, 6, 8, and 24 h postoperatively, as well as the incidence of total adverse events and postoperative nausea and vomiting. Systematic trial registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=348886, PROSPERO (CRD42022348886).

A drug utilization study of oral anticoagulants in five representative cities of China between 2015 and 2019.

WHAT IS KNOWN AND OBJECTIVE: Oral anticoagulants (OACs), including warfarin and newer direct-acting OACs (DOACs), have been used for decades to prevent thromboembolic diseases. A drug utilization study was performed to determine the prescribing patterns of OACs. METHODS: Data were extracted from the Cooperation Project of Hospital Prescription Analysis in China. A total of 455,490 prescription records from 43 tertiary hospitals in five cities of China (Beijing, Shanghai, Guangzhou, Hangzhou and Chengdu) were selected for inclusion. Quarterly trends of defined daily doses (DDDs) and defined daily dose cost (DDDC) from 1 January 2015 to 31 December 2019 were calculated. RESULTS AND DISCUSSION: Warfarin was the most widely used OAC with DDDs between 189,982 and 176,323 from the first quarter (Q1) of 2015 to the fourth quarter (Q4) of 2019, whereas the use of DOACs increased rapidly during this period. DDDs of rivaroxaban increased from 5409 in Q1 of 2015 to 125,800 in Q4 of 2019, whereas the DDDC declined from 160.5 to 45.7. From Q1 of 2018, rivaroxaban became the most prescribed OAC, surpassing warfarin, in patients diagnosed with deep vein thrombosis. In addition, the DDDs of rivaroxaban exceeded those of warfarin in patients diagnosed with non-valvular atrial fibrillation since the second quarter (Q2) of 2019. DDDs in outpatients and inpatients increased by 80.6% and 71.4%, respectively, and the DDDC for outpatients in Q4 of 2019 was 6.7-fold higher than that in Q1 of 2015. Among patients of all ages, the DDDs in elderly patients increased from 36.8% in Q1 of 2015 to 59.4% in Q4 of 2019. Moreover, the departments of cardiology and cardiothoracic surgery prescribed the majority of the OACs. WHAT IS NEW AND CONCLUSION: In this study, we describe OAC prescription patterns in China. DOACs, especially rivaroxaban, contribute to the continuous increase in the use of OACs. In the investigated population of China, outpatients and elderly patients were observed to be administered the highest proportion of DOACs.

Evaluation of a Pharmacist-Led Remote Warfarin Management Model Using a Smartphone Application (Yixing) in Improving Patients' Knowledge and Outcomes of Anticoagulation Therapy.

Background: The management of warfarin-treated patients has been recognized as a challenge due to narrow therapeutic range and food and drug interactions in warfarin therapy. We aim to evaluate the effect of a pharmacist-led remote warfarin management model using a smartphone application (app) on anticoagulation therapy. Methods: Eligible patients who had received warfarin therapy after mechanical heart valve replacement were enrolled. The intervention group was offered a pharmacist-led remote warfarin management model using the app named Yixing. Yixing incorporates functions including automatic daily reminder, personal health record, educational program, and online counseling. The control group received traditional pharmacy services without Yixing. Co-primary outcomes were patients' awareness score of warfarin therapy obtained from questionnaire, the medication adherence measured by the percentage of the correct-warfarin-taken days in the monitored period, the fraction of time in therapeutic range (FTTR), and the incidence of anticoagulation-related complications. The needed information of the patients was acquired via electronic medical records from the hospital, Yixing system and telephone follow-up when necessary. Results: 64 and 66 patients were initially in the intervention and control groups respectively. After propensity score matching, 50 patients were assigned in each group. The intervention group had a median age of 51.0 years, in which 27 (54%) were male. The control group had a median age of 50.5 years, in which 28 (56%) were male. Patient awareness score in the intervention group was 8.00 (2.00), which was higher than that in the control group, with score at 6.50 (2.50) (p = 0.001). No significant difference was found in the percentage of the correct-warfarin-taken days between the two groups (p = 0.520). The median (interquartile range) value of FTTR was 80.3% (21.9%) and 72.1% (17.7%) in the intervention and control groups respectively (p = 0.033), and no significant differences in the incidence of anticoagulation-related complications were observed (p = 0.514). Conclusion: The pharmacist-led remote warfarin management model using Yixing improves patients' awareness of warfarin therapy and increases FTTR, but may not have significant improvements on medication adherence and safety.

[Prediction of mycophenolic acid exposure in renal transplantation recipients by artificial neural network].

The paper is aimed to establish an artificial neural network (ANN) for predicting mycophenolic acid (MPA) area under the plasma concentration-time curve (AUC) in renal transplantation recipients. 64 Chinese renal transplantation recipients receiving mycophenolate mofetil (MMF) were investigated. 10 timed samples were drawn at different days after transplantation. Plasma MPA concentration was determined by HPLC method and area under curve over the period of 0 to 12 h (AUC(0-12 h)) was calculated using the linear trapezoidal rule. ANN was established after network parameters were optimized using momentum method in combination with genetic algorithm. Furthermore, the predictive performance of ANN was compared with that of multiple linear regression (MLR). When using plasma MPA concentration of 0, 0.5, 2 h after MMF administration to predict MPA AUC(0-12 h), mean prediction error and mean absolute prediction error were -1.53% and 9.12%, respectively. Accuracy and precision of prediction by ANN were superior to that of MLR prediction, and similar results could be found when using plasma MPA concentration of 0, 0.5 h to predict MPA AUC(0-12h). The accuracy and precision of ANN prediction were superior to that of MLR prediction, and ANN can be used to predict MPA AUC(0-12 h).