Yinyang Gongji Pills have the effects of strengthening the body resistance to eliminate pathogenic factors, removing stasis, and reducing swelling, which is a commonly used traditional Chinese medicine(TCM) formula for treating intestinal accumulation. A real-world, registered, and single-arm clinical trial was conducted to observe the clinical efficacy and safety of Yinyang Gongji Pills combined with capecitabine in the treatment of advanced colorectal cancer and analyze the clinical characteristics of the patients. A total of 60 patients with advanced colorectal cancer who refused or could not tolerate standard treatment of western medicine were included in the study. They were treated with Yinyang Gongji Pills combined with capecitabine until disease progression or intolerable adverse events occurred. The main observation indicators were progression-free survival(PFS) and safety. The treatment effects of the patients under different baseline characteristics were analyzed. The clinical trial has found that the median PFS of all enrolled patients was 7.3 months, with 30.1% of patients having a PFS exceeding 12.0 months. Layered analysis showed that the median PFS of patients with the onset site being the colon and rectum were respectively 8.4 and 4.7 months. The median PFS of patients with high, medium, and low tumor burden were respectively 7.0, 4.7, and 10.8 months. The median PFS of patients with wild-type and mutant-type RAS/BRAF were respectively 7.9 and 6.9 months. The median PFS of patients with KPS scores ≥80 and ≤70 were respectively 7.9 and 6.5 months. The median PFS of patients treated with Yinyang Gongji Pills for ≥6, 3-6, and ≤3 months were respectively 8.0, 5.2, and 4.2 months. The median PFS of patients with spleen, kidney, liver, and lung syndrome differentiation in TCM were respectively 8.3, 6.7, 7.3, and 5.6 months. The median PFS of patients with TCM pathological factors including phlegm, dampness, and blood stasis were respectively 7.0, 7.3, and 6.5 months. Common adverse reactions include anemia, decreased white blood cells, decreased appetite, fatigue, and hand foot syndrome, with incidence rates being respectively 44.2%, 34.6%, 42.3%, 32.7%, and 17.3%. The results showed that the combination of Yinyang Gongji Pills and capecitabine demonstrated potential clinical efficacy and good safety in this study. The patients have clinical characteristics such as low tumor burden, onset site at the colon, KPS scores ≥ 80, long duration of oral TCM, and TCM syndrome differentiation including spleen or liver.
Humans ; Capecitabine/adverse effects* ; Colorectal Neoplasms/mortality* ; Drugs, Chinese Herbal/adverse effects* ; Male ; Middle Aged ; Female ; Aged ; Adult ; Treatment Outcome

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:To develop and evaluate a nomogram prediction model for the 3-month mortality risk of patients with sepsis-associated acute kidney injury (S-AKI).Methods:Based on the American Medical Information Mart for Intensive Care-Ⅳ (MIMIC-Ⅳ), clinical data of S-AKI patients from 2008 to 2021 were collected.Initially, 58 relevant predictive factors were included, with all-cause mortality within 3 months as the outcome event. The data were divided into training and testing sets at a 7∶3 ratio. In the training set, univariate Logistic regression analysis was used for preliminary variable screening. Multicollinearity analysis, Lasso regression, and random forest algorithm were employed for variable selection, combined with the clinical application value of variables, to establish a multivariable Logistic regression model, visualized using a nomogram. In the testing set, the predictive value of the model was evaluated through internal validation. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the curve (AUC) was calculated to evaluate the discrimination of nomogram model and Oxford acute severity of illness score (OASIS), sequential organ failure assessment (SOFA), and systemic inflammatory response syndrome score (SIRS). The calibration curve was used to evaluate the calibration, and decision curve analysis (DCA) was performed to assess the net benefit at different probability thresholds.Results:Based on the survival status at 3 months after diagnosis, patients were divided into 7?768 (68.54%) survivors and 3?566 (31.46%) death. In the training set, after multiple screenings, 7 variables were finally included in the nomogram model: Logistic organ dysfunction system (LODS), Charlson comorbidity index, urine output, international normalized ratio (INR), respiratory support mode, blood urea nitrogen, and age. Internal validation in the testing set showed that the AUC of nomogram model was 0.81 [95% confidence interval (95% CI) was 0.80-0.82], higher than the OASIS score's 0.70 (95% CI was 0.69-0.71) and significantly higher than the SOFA score's 0.57 (95% CI was 0.56-0.58) and SIRS score's 0.56 (95% CI was 0.55-0.57), indicating good discrimination. The calibration curve demonstrated that the nomogram model's calibration was better than the OASIS, SOFA, and SIRS scores. The DCA curve suggested that the nomogram model's clinical net benefit was better than the OASIS, SOFA, and SIRS scores at different probability thresholds. Conclusions:A nomogram prediction model for the 3-month mortality risk of S-AKI patients, based on clinical big data from MIMIC-Ⅳ and including seven variables, demonstrates good discriminative ability and calibration, providing an effective new tool for assessing the prognosis of S-AKI patients.