OBJECTIVES: To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application. Methods and. RESULTS: Recommendations were formulated based on literature review and expert group discussion, and consensus was reached following expert consultation. The consensus recommendations are comprehensive, covering the entire treatment procedures from preoperative assessment and preparation, surgical operation process, postoperative management and traditional Chinese medicine treatment to individualized treatment planning. The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain, reduced the use of opioid drugs, and significantly improved the quality of life and enhanced immune function of the patients. Postoperative follow-up suggested good treatment tolerance among the patients without serious complications. CONCLUSIONS The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy. The combined treatment has a high clinical value with a good safety profile for management of cancer pain.
Humans ; Medicine, Chinese Traditional ; Cancer Pain/therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Drug Delivery Systems ; Pain Management/methods* ; China

Objective To screen and identify significant influencing factors associated with voriconazole clearance using machine learning algorithms.Methods This study utilized a clinical dataset of elderly patients undergoing voriconazole treatment at our institution.We employed seven feature selection techniques from three categories of methods(filter,wrapper methodsand Embedded methods)to identify crucial influencing factors related to voriconazole clearance.Then six algorithms including Stochastic Gradient Descent Regression(SGDR),Lasso Regression(LassoR),Ridge Regression(RidgeR),Random Forest Regression(RFR),XGBoost Regression(XGBR),and Support Vector Regression(SVR),were applied to identify the best models by 5 fold cross-validation and the mean absolute error.SHAP values were employed to analyze the importance of influencing factors.Results The SVR model outperformed other regressors and were considered.The model was developed for seven selected features,which demonstrated good precision with an average relative error was 32.57%,and with approximately 57.89%of predicted values falling within a relative error range of±20%.The SHAP results revealed the importance ranking of influencing factors as ALT,ALP,PLT,administration method,CREA,TBIL,and PCT.Conclusion Feature selection techniques applied in machine learning can be utilized for the screening of influencing factors linked to voriconazole clearance.

Objective To investigate the key factors influencing the willingness of chronic disease patients to participate in home pharmaceutical services.Methods The study adopted the data from inner Mongolia and northeast China set of the drug aging system research for China.The Null Importance method was employed to identify key factors influencing the willingness of chronic disease patients to participate in home pharmaceutical services.The logistic regression model was constructed and evaluated the impact of feature selection through 5 fold cross-validation and accuracy and AUC values.Results 10 key factors were selected by the Null Importance method and the performance of the logistic regression model was improved after feature selection.The factors which significantly affected patients' willingness to accept home pharmaceutical services included the number of accessible information sources(OR=1.261,95％CI=1.182～1.345),medication therapeutic indication cognition(OR=1.342,95％CI=1.124～1.603),the presence the drug packaging or not(OR=1.218,95％CI=1.015～1.462),medication adherence(OR=0.881,95％CI=0.839～0.925),medication literacy(OR=0.631,95％CI=0.488～0.817),the degree of know of medication guidance services(OR=1.211,95％CI=1.017～1.442).Conclusion The logistic model refined by the Null Importance feature selection method demonstrated good performance and was conducive to analyzing the factors influencing the willingness of chronic disease patients to participate in home pharmaceutical care.

Inappropriate polypharmacy is common in older patients with co-morbidities, and prescription streamlining can help to ensure the safety of medications for older patients with co-morbidities.In 2023, The Alliance of European Geriatrics Societies(AEGS)summarized the literature on medication review and prescription streamlining to propose 33 recommendations for optimizing polypharmacy and prescription streamlining in older patients with co-morbidities.The strategy suggests incorporating prescription streamlining into the daily practice of geriatricians and clinical pharmacists, and provides recommendations about education and training of clinical staff, development of disease guidelines, policy support, and clinical trial research in older adults aiming to improve the management of polypharmacy.This article explains the key elements of this strategy to provide reference for high-quality healthcare for elderly patients with co-morbid in China.

Objective:To assess the efficacy and safety profile of antaitasvir phosphate combined with yiqibuvir in the treatment of chronic hepatitis C (CHC) of various genotypes, without cirrhosis or with compensated cirrhosis.Methods:394 cases with CHC from 22 centers were collected from October 2021 to April 2023. They were randomly assigned to receive either the experimental drugs (antaitasvir phosphate 100 mg+yiqibuvir 600 mg) or placebo treatment in a 3∶1 ratio. The patients were administered drugs once a day for 12 consecutive weeks, and then followed up for 24 weeks after treatment cessation. All subjects were unblinded at the four-week follow-up following drug discontinuation, with the experimental drug group continuing to complete subsequent post-discontinuation follow-up. The placebo group was switched to receive the experimental drugs for a repeated 12-week treatment period and followed up for another 24 weeks after discontinuation of the drug (placebo delayed treatment phase).The sustained virologic response rate (SVR12) was observed for subjects in the double-blind phase and the placebo delayed-treatment phase at 12 weeks after treatment cessation.Virological resistance analysis was performed on subjects who failed treatment. The primary efficacy endpoint was SVR12. The number and percentage of subjects who achieved "HCV RNA

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson's disease (PD), a prevalent neurodegenerative disorder. The microbiota-gut-brain axis plays a crucial role in the development and progression of PD, and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota. This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms. The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD. While the relationship is not fully elucidated, existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development, and further investigation is warranted to explain the specific underlying mechanisms.
Humans ; Parkinson Disease/microbiology* ; Gastrointestinal Microbiome/physiology* ; Dysbiosis/microbiology*

Inappropriate polypharmacy is common in older patients with co-morbidities, and prescription streamlining can help to ensure the safety of medications for older patients with co-morbidities.In 2023, The Alliance of European Geriatrics Societies(AEGS)summarized the literature on medication review and prescription streamlining to propose 33 recommendations for optimizing polypharmacy and prescription streamlining in older patients with co-morbidities.The strategy suggests incorporating prescription streamlining into the daily practice of geriatricians and clinical pharmacists, and provides recommendations about education and training of clinical staff, development of disease guidelines, policy support, and clinical trial research in older adults aiming to improve the management of polypharmacy.This article explains the key elements of this strategy to provide reference for high-quality healthcare for elderly patients with co-morbid in China.

Objective To investigate the key factors influencing the willingness of chronic disease patients to participate in home pharmaceutical services.Methods The study adopted the data from inner Mongolia and northeast China set of the drug aging system research for China.The Null Importance method was employed to identify key factors influencing the willingness of chronic disease patients to participate in home pharmaceutical services.The logistic regression model was constructed and evaluated the impact of feature selection through 5 fold cross-validation and accuracy and AUC values.Results 10 key factors were selected by the Null Importance method and the performance of the logistic regression model was improved after feature selection.The factors which significantly affected patients' willingness to accept home pharmaceutical services included the number of accessible information sources(OR=1.261,95％CI=1.182～1.345),medication therapeutic indication cognition(OR=1.342,95％CI=1.124～1.603),the presence the drug packaging or not(OR=1.218,95％CI=1.015～1.462),medication adherence(OR=0.881,95％CI=0.839～0.925),medication literacy(OR=0.631,95％CI=0.488～0.817),the degree of know of medication guidance services(OR=1.211,95％CI=1.017～1.442).Conclusion The logistic model refined by the Null Importance feature selection method demonstrated good performance and was conducive to analyzing the factors influencing the willingness of chronic disease patients to participate in home pharmaceutical care.

Objective To screen and identify significant influencing factors associated with voriconazole clearance using machine learning algorithms.Methods This study utilized a clinical dataset of elderly patients undergoing voriconazole treatment at our institution.We employed seven feature selection techniques from three categories of methods(filter,wrapper methodsand Embedded methods)to identify crucial influencing factors related to voriconazole clearance.Then six algorithms including Stochastic Gradient Descent Regression(SGDR),Lasso Regression(LassoR),Ridge Regression(RidgeR),Random Forest Regression(RFR),XGBoost Regression(XGBR),and Support Vector Regression(SVR),were applied to identify the best models by 5 fold cross-validation and the mean absolute error.SHAP values were employed to analyze the importance of influencing factors.Results The SVR model outperformed other regressors and were considered.The model was developed for seven selected features,which demonstrated good precision with an average relative error was 32.57%,and with approximately 57.89%of predicted values falling within a relative error range of±20%.The SHAP results revealed the importance ranking of influencing factors as ALT,ALP,PLT,administration method,CREA,TBIL,and PCT.Conclusion Feature selection techniques applied in machine learning can be utilized for the screening of influencing factors linked to voriconazole clearance.