According to the work goals and tasks determined by edition outline of the Chinese Pharmacopoeia 2025 Edition, the Chinese Pharmacopoeia 2025 has been completed. Among them, 52 new pharmaceutical excipients monographs have been added, and the total number has reached 387. 245 pharmaceutical excipients monographs have been revised, of which 109 monographs have only textual revisions and 136 monographs have substantive revisions. This article focuses on the general framework and the main characteristics of the standards of pharmaceutical excipients in the Chinese Pharmacopoeia 2025, which can contribute to accurately understand and utilize the standards in Chinese Pharmacopoeia.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Muscle-invasive bladder cancer (MIBC) is an aggressive cancer with a high recurrence risk due to micrometastases. Standard treatment, neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, is not suitable for all patients, with many being ineligible or experiencing recurrence, alongside significant toxicity concerns.Current Concepts: The introduction of immune checkpoint inhibitors (ICIs) into the perioperative setting —including neoadjuvant ICI use in cisplatin-ineligible patients, adjuvant ICI use in high-risk individuals, and chemoimmunotherapy in either the preoperative or postoperative period—has demonstrated promising clinical outcomes. Additionally, bladder preservation strategies are currently under investigation in select patients who exhibit favorable treatment responses, aiming to maintain quality of life without compromising oncologic outcomes. Nevertheless, challenges such as overtreatment, long-term toxicity, and immune-related adverse events remain significant, underscoring the necessity for precise patient selection.Discussion and Conclusion: To personalize perioperative management of MIBC, it is essential to develop and clinically implement robust predictive biomarkers. Assessment of molecular residual disease using circulating tumor DNA is emerging as a promising method to stratify risk, guide adjuvant treatment decisions, and monitor therapeutic response in real time. Future research should prioritize the validation of these biomarkers, refinement of patient selection criteria for bladder preservation strategies, and evaluation of novel therapeutic agents such as antibody-drug conjugates and fibroblast growth factor receptor inhibitors in the perioperative setting. Ultimately, adopting a precision oncology approach will be critical for balancing oncologic efficacy with toxicity management and achieving patient-centered outcomes.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Muscle-invasive bladder cancer (MIBC) is an aggressive cancer with a high recurrence risk due to micrometastases. Standard treatment, neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, is not suitable for all patients, with many being ineligible or experiencing recurrence, alongside significant toxicity concerns.Current Concepts: The introduction of immune checkpoint inhibitors (ICIs) into the perioperative setting —including neoadjuvant ICI use in cisplatin-ineligible patients, adjuvant ICI use in high-risk individuals, and chemoimmunotherapy in either the preoperative or postoperative period—has demonstrated promising clinical outcomes. Additionally, bladder preservation strategies are currently under investigation in select patients who exhibit favorable treatment responses, aiming to maintain quality of life without compromising oncologic outcomes. Nevertheless, challenges such as overtreatment, long-term toxicity, and immune-related adverse events remain significant, underscoring the necessity for precise patient selection.Discussion and Conclusion: To personalize perioperative management of MIBC, it is essential to develop and clinically implement robust predictive biomarkers. Assessment of molecular residual disease using circulating tumor DNA is emerging as a promising method to stratify risk, guide adjuvant treatment decisions, and monitor therapeutic response in real time. Future research should prioritize the validation of these biomarkers, refinement of patient selection criteria for bladder preservation strategies, and evaluation of novel therapeutic agents such as antibody-drug conjugates and fibroblast growth factor receptor inhibitors in the perioperative setting. Ultimately, adopting a precision oncology approach will be critical for balancing oncologic efficacy with toxicity management and achieving patient-centered outcomes.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Muscle-invasive bladder cancer (MIBC) is an aggressive cancer with a high recurrence risk due to micrometastases. Standard treatment, neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, is not suitable for all patients, with many being ineligible or experiencing recurrence, alongside significant toxicity concerns.Current Concepts: The introduction of immune checkpoint inhibitors (ICIs) into the perioperative setting —including neoadjuvant ICI use in cisplatin-ineligible patients, adjuvant ICI use in high-risk individuals, and chemoimmunotherapy in either the preoperative or postoperative period—has demonstrated promising clinical outcomes. Additionally, bladder preservation strategies are currently under investigation in select patients who exhibit favorable treatment responses, aiming to maintain quality of life without compromising oncologic outcomes. Nevertheless, challenges such as overtreatment, long-term toxicity, and immune-related adverse events remain significant, underscoring the necessity for precise patient selection.Discussion and Conclusion: To personalize perioperative management of MIBC, it is essential to develop and clinically implement robust predictive biomarkers. Assessment of molecular residual disease using circulating tumor DNA is emerging as a promising method to stratify risk, guide adjuvant treatment decisions, and monitor therapeutic response in real time. Future research should prioritize the validation of these biomarkers, refinement of patient selection criteria for bladder preservation strategies, and evaluation of novel therapeutic agents such as antibody-drug conjugates and fibroblast growth factor receptor inhibitors in the perioperative setting. Ultimately, adopting a precision oncology approach will be critical for balancing oncologic efficacy with toxicity management and achieving patient-centered outcomes.

ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14^th week of 2010 to the 13^th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.

Humans ; Acute Disease ; Pancreatitis/diagnosis* ; Follow-Up Studies ; Patient Discharge ; Disease Progression

Objective To develop the functions and optimize the automatic monitoring module for arrhythmias of the adverse drug event active surveillance and assessment system-Ⅱ,in order to continuously improve the performance,enhance the monitoring efficiency,and explore the ways to optimize the module.Methods Expand and optimize the functions of the module,increase the customized configuration,and determine the optimal setting conditions;compare the optimized test data with the results of the evaluation studies on the automatic monitoring of drug-induced arrhythmias in large samples of medicated population previously,and verify the optimization extent as well as the accuracy of the module.Results In the new module optimized according to the characteristics of the monitoring population,the function of"mandatory medical order keywords"was added,and it was determined that the inclusion of 6 electrocardiogram examination-related medical order keywords with a frequency of not less than 2 occurrences was the optimal configuration condition for the optimization of the module;combining the results of the previous automatic monitoring and evaluation researches,the system functions were verified and compared under the conditions of using the whole drugs and 2 kinds of single drug.While there was no loss of true positive cases,the number of cases with system alarms decreased by 30.75％,80.13％and 90.82％,respectively,compared with that before the optimization of the module,and the positive predictive value was significantly improved.Conclusion After the function expansion and optimization,the automatic monitoring module of drug-induced arrhythmias significantly reduces the labor cost of case evaluation and keeps the accuracy of monitoring results constant;the new module can better adapt to the demands of different automatic monitoring modes and operates stably,which is more generalizable and flexible,and provides a new way of considering for the research and development of automatic monitoring modules.