Objective:To analyze the influencing factors of low fall alertness in elderly inpatients,construct a risk prediction model and validate it,providing a reference for clinical medical staff to identify elderly inpatients with low fall alertness in the early stage.Methods:A total of 605 elderly inpatients treated in Yijishan Hospital affiliated to Wannan Medical College from Oct 2023 to Mar 2024 were enrolled and randomly divided into the training group(n=423)and validation group(n=182)at a ratio of 7∶3.The patients were evaluated using a general information questionnaire,the Social Frailty Screening Tool(HALFT),the Tilburg Frailty Indicator(TFI),and the Self-Awareness of Falls in Elderly scale(SAFE).Multivariate logistic analysis was used to determine the influencing factors of low fall alertness in elderly inpatients.RStudio was used to construct a risk prediction model of low fall alertness.The discrimination,calibration,and clinical net benefit of the model were verified using the receiver operating characteristic(ROC)curves,calibration plots,and decision curve analysis(DCA).Results:Multivariate logistic analysis showed that the history of falls,monthly income,previous physical activity time,social frailty score and TFI score were independent risk factors for low fall alertness in elderly inpatients.The Hosmer-Lemeshow χ2 test showed that χ2=8.863,P=0.354,indicating good calibration of the prediction model.The area under the ROC curve of the training group and the validation group were 0.860(95%CI:0.815-0.904)and 0.937(95%CI:0.888-0.986),respectively,and the maximum Youden indices of the model was 0.576 and 0.788,respectively,indicating good discrimination of the model.The DCA decision curve showed that the model had good clinical effectiveness.Conclusion:The constructed model has a good prediction effect and can help clinical medical staff quickly and effectively screen out elderly inpatients at risk of low fall alertness.

Objective:To explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.

Objective:To explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.

Objective:To investigate the interventional effects of the Fuzheng Huayu (FZHY) formula and its partial mechanistic role on cholestatic liver fibrosis in mice.Methods:Mdr2 gene knockout (Mdr2－/ －) mice were randomly divided into a model group, FZHY group, and Obeticholic acid group. Wild-type C57BL/6J mice of the same age served as the control group. Mdr2－/ －mice were given the corresponding drugs starting from the first day of 9 weeks of age by oral gavage in each group. The control and model groups were administered 0.3% sodium carboxymethylcellulose by oral gavage and were sacrificed at 12 weeks of age for specimen collection. High-speed biochemistry analyzer was used to detect serum alkaline phosphatase and alanine aminotransferase activity in mice. Hematoxylin-eosin staining and Sirius red staining were used to observe pathological changes in liver tissues. Hydroxyproline content was measured to assess collagen in liver tissues. Immunohistochemical staining, Western blotting, and real-time fluorescence quantitative PCR were used to detect the expression of fibrosis markers Col-I and alpha-smooth muscle actin in liver tissues. The expressional condition of cholangiocyte response markers Epcam, CK7, CK19, as well as Pcna, Mki67, and Ccnd1, inflammatory related factors Ccl2, Ccl5, Tnf-α, Il10, and Cxcl4, phosphorylated peroxisome proliferator-activated receptor alpha (PPARα) and nuclear factor kappa-B (NF-κB) were determined. Comparative analysis among multiple groups was performed using one-way ANOVA. The LSD method was used for comparisons between groups. Two-tailed statistical tests were used.Results:Compared with wild-type mice, Mdr2 －/ － mice had a significant increase in serum alanine aminotransferase and alkaline phosphatase activity ( P<0.001). The percentage of Sirius red-positive staining areas and hydroxyproline content in liver tissues was significantly increased ( P<0.01). The expression of Col-I, α-smooth muscle actin, Epcam, CK7, CK19, Pcna, Mki67, and Ccnd1, and the expression of Ccl2, Ccl5, Tnf-α, Il10, and Cxcl4 were significantly increased ( P<0.01); however, both FZHY and Obeticholic acid significantly reversed the increases in these indicators ( P<0.05; P<0.01). Further results showed that compared to wild-type mice, the expression of PPARα was significantly reduced in liver tissues of Mdr2 －/ － mice, while NF-κB was significantly enhanced ( P<0.01). In contrast, compared to Mdr2-/- mice, the expression of PPARα in the liver tissues of FZHY group mice was significantly increased ( P<0.05), while NF-κB was significantly inhibited ( P<0.05). Conclusion:FZHY can significantly improve liver fibrosis, cholangiocyte response, and inflammation in Mdr2 －/ － mice with spontaneously occurring cholestatic liver fibrosis, and its mechanistic role is related to the regulation of the PPARα/NF-κB pathway.

Objective To analyze the procurement data of lipid-lowering drugs in hospitals at different levels in Jiangsu Province from October 2019 to September 2023,to evaluate the impact of the volume-based procurement(VBP)policy,and to provide references for clinical rational drug use and healthcare policy optimization.Methods Based on procurement data from the Jiangsu Provincial Health Information Center,statistical analyses of procurement expenditures,defined daily doses(DDDs),and defined daily cost(DDC)were conducted.Mixed-effects models were applied to assess changes in procurement expenditures,DDDs,and DDC before and after VBP implementation.Results From 2019 to 2023,statins dominated the market in Jiangsu Province,with rosuvastatin recording the highest DDDs(748 million).Statins,traditional Chinese medicines,and cholesterol absorption inhibitors ranked highest in procurement expenditures.Tertiary hospitals accounted for the largest share of usage(47.6%)and expenditures(55.8%),while secondary hospitals had the lowest DDC(1.22 yuan)and tertiary hospitals the highest(1.89 yuan).Post-VBP,procurement expenditures and DDC decreased by 53.9%and 35.4%,respectively.Primary hospitals showed the largest expenditure reduction(61.6%),and secondary hospitals exhibited the greatest DDC decline(53.9%).DDDs increased significantly in primary care settings(e.g.,pitavastatin surged by 239.79%in secondary hospitals),while tertiary hospitals saw reduced usage of some drugs(e.g.,amlodipine/atorvastatin decreased by 7.34%).Mixed-effects models confirmed that VBP significantly reduced expenditures(OR=-1.07,P<0.01)and DDC(OR=-2.70,P<0.01)while indirectly lowering prices of non-VBP drugs.After covariate adjustment,expenditure reductions for rosuvastatin and atorvastatin narrowed,ezetimibe expenditures increased(OR=0.13,P<0.01),and pitavastatin usage declined(OR=-0.10,P<0.01).Changes in amlodipine/atorvastatin and ezetimibe lacked statistical significance due to short VBP implementation periods.Tertiary hospitals demonstrated the strictest policy adherence,with the largest expenditure and DDC reductions(P<0.01).Subgroup analysis revealed that the policy did not significantly affect clinical demand(DDDs)in hospitals at different levels,though it was considered to have triggered adjustments in medication structure.Conclusion Jiangsu's lipid-lowering drug structure aligns with guidelines(statin-based,moderate-intensity preference).VBP effectively reduced costs,with tertiary hospitals prioritizing originator-to-generic substitution and primary hospitals reflecting cost-control and demand variations.Confounding factors influenced policy evaluation.The study recommends continuous monitoring and policy optimization to enhance procurement efficiency,ensure rational clinical use,and sustain cost savings,providing insights for further healthcare reform.

Objective To explore the potential categories of frailty development trajectories in patients undergoing cardiac surgery from pre-operation to 6 months post-operation,and analyze the influencing factors.Methods By a longitudinal study design,patients undergoing elective heart valve replacement surgery or coronary artery bypass grafting in a tertiary general hospital in Zunyi City from August 2022 to June 2023 were selected by the convenience sampling method.Tilburg frailty scale was used to investigate the frailty level of cardiac surgery patients 1 day before surgery(T0),1 month(T1),3 months(T2)and 6 months after surgery(T3).The growth mixture model was used to identify the trajectory categories,and the influencing factors of different frailty trajectories were analyzed by binary Logistic regression.Results 261 patients were enrolled at T0,with 22,9,and 3 patients lost at T1 to T3,and 227 patients were finally included in the analysis.There were 2 types of trajectories being identified as the low frailty decline group and the high frailty maintenance group.Age,use of sedative and analgesic drugs,pace,and depression were the factors influencing the frailty in cardiac surgery patients(P＜0.05).Conclusion There are 2 kinds of frailty development trajectories in patients undergoing cardiac surgery.Medical staff should fonnulate precise interventions and nursing measures according to the factors influencing frailty,so as to improve frailty degree and quality of life of patients undergoing cardiac surgery.

Objective To investigate the clinical efficacy of Guanxinning tablets in the treatment of di-astolic heart failure(DHF).Methods A total of 98 patients with DHF admitted to our hospital from Decem-ber 2021 to December 2022 were selected as study subjects and randomly divided into a control group and an observation group,with 49 cases in each group.The control group received oral medication according to the es-tablished protocol,while the observation group additionally received Guanxinning tablets orally on the basis of the control group's treatment.Both groups underwent a 4-week treatment period.Clinical efficacy,cardiac function indicators,blood routine parameters,cardiovascular and inflammatory markers,and left ventricular diastolic function indicators were compared between the two groups before and after treatment.Results After treatment,the total effective rate in the observation group(97.96%)was higher than that in the control group(85.71%),with statistically significant differences(P<0.05).The observation group exhibited higher left ventricular ejection fraction(LVEF)and lower left ventricular end-diastolic diameter(LVEDD)and left ventricular end-systolic diameter(LVESD)compared to the control group,with statistically significant differ-ences(P<0.05).All blood routine parameters and cardiovascular/inflammatory markers in the observation group were significantly lower than those in the control group(P<0.05).Additionally,the observation group showed higher E-peak and E/A ratio,along with lower A-peak and E-peak deceleration time(DT),compared to the control group,with statistically significant differences(P<0.05).Conclusion Guanxinning tablets can stabilize blood routine levels,inhibit vascular inflammation,improve cardiac function and left ventricular dias-tolic function,and alleviate heart failure symptoms in DHF patients.

Objective To analyze the procurement data of lipid-lowering drugs in hospitals at different levels in Jiangsu Province from October 2019 to September 2023,to evaluate the impact of the volume-based procurement(VBP)policy,and to provide references for clinical rational drug use and healthcare policy optimization.Methods Based on procurement data from the Jiangsu Provincial Health Information Center,statistical analyses of procurement expenditures,defined daily doses(DDDs),and defined daily cost(DDC)were conducted.Mixed-effects models were applied to assess changes in procurement expenditures,DDDs,and DDC before and after VBP implementation.Results From 2019 to 2023,statins dominated the market in Jiangsu Province,with rosuvastatin recording the highest DDDs(748 million).Statins,traditional Chinese medicines,and cholesterol absorption inhibitors ranked highest in procurement expenditures.Tertiary hospitals accounted for the largest share of usage(47.6%)and expenditures(55.8%),while secondary hospitals had the lowest DDC(1.22 yuan)and tertiary hospitals the highest(1.89 yuan).Post-VBP,procurement expenditures and DDC decreased by 53.9%and 35.4%,respectively.Primary hospitals showed the largest expenditure reduction(61.6%),and secondary hospitals exhibited the greatest DDC decline(53.9%).DDDs increased significantly in primary care settings(e.g.,pitavastatin surged by 239.79%in secondary hospitals),while tertiary hospitals saw reduced usage of some drugs(e.g.,amlodipine/atorvastatin decreased by 7.34%).Mixed-effects models confirmed that VBP significantly reduced expenditures(OR=-1.07,P<0.01)and DDC(OR=-2.70,P<0.01)while indirectly lowering prices of non-VBP drugs.After covariate adjustment,expenditure reductions for rosuvastatin and atorvastatin narrowed,ezetimibe expenditures increased(OR=0.13,P<0.01),and pitavastatin usage declined(OR=-0.10,P<0.01).Changes in amlodipine/atorvastatin and ezetimibe lacked statistical significance due to short VBP implementation periods.Tertiary hospitals demonstrated the strictest policy adherence,with the largest expenditure and DDC reductions(P<0.01).Subgroup analysis revealed that the policy did not significantly affect clinical demand(DDDs)in hospitals at different levels,though it was considered to have triggered adjustments in medication structure.Conclusion Jiangsu's lipid-lowering drug structure aligns with guidelines(statin-based,moderate-intensity preference).VBP effectively reduced costs,with tertiary hospitals prioritizing originator-to-generic substitution and primary hospitals reflecting cost-control and demand variations.Confounding factors influenced policy evaluation.The study recommends continuous monitoring and policy optimization to enhance procurement efficiency,ensure rational clinical use,and sustain cost savings,providing insights for further healthcare reform.

Objective:To analyze the influencing factors of low fall alertness in elderly inpatients,construct a risk prediction model and validate it,providing a reference for clinical medical staff to identify elderly inpatients with low fall alertness in the early stage.Methods:A total of 605 elderly inpatients treated in Yijishan Hospital affiliated to Wannan Medical College from Oct 2023 to Mar 2024 were enrolled and randomly divided into the training group(n=423)and validation group(n=182)at a ratio of 7∶3.The patients were evaluated using a general information questionnaire,the Social Frailty Screening Tool(HALFT),the Tilburg Frailty Indicator(TFI),and the Self-Awareness of Falls in Elderly scale(SAFE).Multivariate logistic analysis was used to determine the influencing factors of low fall alertness in elderly inpatients.RStudio was used to construct a risk prediction model of low fall alertness.The discrimination,calibration,and clinical net benefit of the model were verified using the receiver operating characteristic(ROC)curves,calibration plots,and decision curve analysis(DCA).Results:Multivariate logistic analysis showed that the history of falls,monthly income,previous physical activity time,social frailty score and TFI score were independent risk factors for low fall alertness in elderly inpatients.The Hosmer-Lemeshow χ2 test showed that χ2=8.863,P=0.354,indicating good calibration of the prediction model.The area under the ROC curve of the training group and the validation group were 0.860(95%CI:0.815-0.904)and 0.937(95%CI:0.888-0.986),respectively,and the maximum Youden indices of the model was 0.576 and 0.788,respectively,indicating good discrimination of the model.The DCA decision curve showed that the model had good clinical effectiveness.Conclusion:The constructed model has a good prediction effect and can help clinical medical staff quickly and effectively screen out elderly inpatients at risk of low fall alertness.

Objective To explore the potential categories of frailty development trajectories in patients undergoing cardiac surgery from pre-operation to 6 months post-operation,and analyze the influencing factors.Methods By a longitudinal study design,patients undergoing elective heart valve replacement surgery or coronary artery bypass grafting in a tertiary general hospital in Zunyi City from August 2022 to June 2023 were selected by the convenience sampling method.Tilburg frailty scale was used to investigate the frailty level of cardiac surgery patients 1 day before surgery(T0),1 month(T1),3 months(T2)and 6 months after surgery(T3).The growth mixture model was used to identify the trajectory categories,and the influencing factors of different frailty trajectories were analyzed by binary Logistic regression.Results 261 patients were enrolled at T0,with 22,9,and 3 patients lost at T1 to T3,and 227 patients were finally included in the analysis.There were 2 types of trajectories being identified as the low frailty decline group and the high frailty maintenance group.Age,use of sedative and analgesic drugs,pace,and depression were the factors influencing the frailty in cardiac surgery patients(P＜0.05).Conclusion There are 2 kinds of frailty development trajectories in patients undergoing cardiac surgery.Medical staff should fonnulate precise interventions and nursing measures according to the factors influencing frailty,so as to improve frailty degree and quality of life of patients undergoing cardiac surgery.