ObjectiveTo investigate the effect of Niuhuang Qingxinwan （NHQXW） in improving intracerebral hemorrhage （ICH） with Tanre Fushi （phlegm-heat and fu-organ excess） syndrome by maintaining blood-brain barrier （BBB） integrity， and to explore its potential mechanism. MethodsMale mice were administered with 15% autologous feces for 3 consecutive days to simulate spontaneous Tanre Fushi syndrome， followed by surgical induction of collagenase-induced ICH on the fourth day. Mice were randomly assigned to seven groups： Sham， Sham+NHQXW-H， collagenase， collagenase+feces， and NHQXW intervention groups at low （NHQXW-L， 0.225 g·kg^-1）， medium （NHQXW-M， 0.45 g·kg^-1）， and high （NHQXW-H， 0.9 g·kg^-1） doses. Treatments were administered for 3 days after surgery. NHQXW effects on Tanre Fushi syndrome were assessed via fecal water content and small intestinal carbon propulsion rate. Protective effects of NHQXW against ICH with Tanre Fushi syndrome were evaluated by measuring hematoma volume， neurological deficits， and brain water content. BBB integrity was further assessed using Evans blue staining， hematoxylin-eosin （HE） staining， immunofluorescence， and Western blot for Claudin-5， plasmalemma vesicle-associated protein （PLVAP）， matrix metalloproteinase （MMP）-2， and MMP-9. The potential mechanism of NHQXW was investigated by detecting protein expression of protein kinase B （Akt）， extracellular signal-regulated kinase 1/2 （ERK1/2）， signal transducer and activator of transcription 3 （STAT3）， Yes-associated protein （YAP）， and their phosphorylated forms. ResultsCompared with the collagenase+feces group， NHQXW-M and NHQXW-H significantly reduced fecal water content （P<0.05， P<0.01） and intestinal propulsion rate （P<0.01）， alleviated neurological deficits （P<0.01）， decreased hematoma volume （P<0.01） and Evans blue extravasation （P<0.01）， increased Claudin-5 protein expression （P<0.05， P<0.01） and fluorescence intensity （P<0.01）， and decreased PLVAP protein expression （P<0.01） and fluorescence intensity （P<0.05， P<0.01）， as well as MMP-2 （P<0.05， P<0.01） and MMP-9 （P<0.01） expression. NHQXW-H downregulated p-Akt （P<0.05）， p-ERK1/2 （P<0.05）， p-STAT3 （P<0.01）， and p-YAP （P<0.05）， with the most significant effect observed on STAT3 phosphorylation. ConclusionNHQXW effectively alleviates neurological deficits and BBB injury in ICH mice with Tanre Fushi syndrome， primarily by inhibiting STAT3 activation.

Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) are linked to numerous chronic conditions, including cardiovascular disease, atherosclerosis, chronic kidney disease, and type II diabetes. Previous research identified the natural flavonoid diosmin, derived from Chrysanthemum morifolium, as a regulator of glucose metabolism. However, its effects on lipid metabolism and underlying mechanisms remained unexplored. The AMP-activated protein kinase (AMPK) pathway serves a critical function in glucose and lipid metabolism. The relationship between diosmin and the AMPK pathway has not been previously documented. This investigation examined diosmin's capacity to reduce lipid content through AMPK pathway activation in hepatoblastoma cell line G2 (HepG2) and 3T3-L1 cells. The study revealed that diosmin inhibits lipogenesis, indicating its potential as an anti-obesity agent in obese mice. Moreover, diosmin demonstrated effective MASLD alleviation in vivo. These findings suggest that diosmin may represent a promising therapeutic candidate for treating obesity and MASLD.
Diosmin/administration & dosage* ; Animals ; AMP-Activated Protein Kinases/genetics* ; Humans ; Non-alcoholic Fatty Liver Disease/enzymology* ; Mice ; Obesity/enzymology* ; Hep G2 Cells ; Male ; 3T3-L1 Cells ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Lipid Metabolism/drug effects* ; Chrysanthemum/chemistry* ; Lipogenesis/drug effects*

Objective:To construct a risk prediction model for radiation dermatitis in the perineum of cervical cancer patients undergoing radiotherapy, and verify the predictive effect of the model, so as to provide theoretical basis for reducing the risk of perineal radiation dermatitis in clinical practice.Methods:A prospective study design was used to conveniently select 247 cervical cancer patients who received radiotherapy at Tianjin Medical University Cancer Institute & Hospital from January 2022 to March 2023 as the modeling group. They were divided into a group with perineal radiodermatitis ( n = 130) and a group without perineal radiodermatitis ( n = 117). The data of the two groups were compared, and a risk prediction model was constructed based on the results of logistic regression analysis. Used the area under the receiver operating characteristic (ROC) curve to test the predictive performance of the model. From May to November 2023, 109 patients were selected as the validation group to conduct external validation of the model. Results:Among the 247 patients in the modeling group, the age of the group with perineal radiodermatitis was (45.31 ± 7.25) years old, and the age of the group without perineal radiodermatitis was (46.70 ± 6.43) years old. The incidence of perineal radiation dermatitis during radiotherapy in the modeling group was 52.6% (130/247), while in the validation group it was 44.0% (48/109). The final predictive variables included in the model were high blood sugar or not ( OR = 0.304, 95% CI 0.174-0.530), vaginal bleeding/discharge or not ( OR = 4.338, 95% CI 2.397-7.854), involvement of 1/3 of the vagina or not ( OR = 0.497, 95% CI 0.281-0.879), whether topical skin protectants could be used( OR = 3.479, 95% CI 1.596-7.583), whether skin protectants could be used in a standardized manner ( OR = 2.399, 95% CI 1.201-4.789), whether the skin could be cleaned with the correct cleaning agent ( OR = 3.155, 95% CI 1.603-6.209), and whether the skin could be wiped with the correct method ( OR = 3.325, 95% CI 1.806-6.121), totaling 7 predictive factors (all P<0.05). The area under the ROC curve of the prediction model was 0.866, the sensitivity was 0.735, and the specificity was 0.852, the Youden index was 0.587. Model validation results showed the area under the ROC curve was 0.762, the sensitivity was 0.815, the specificity was 0.717, and the accuracy was 80.73%, indicating good predictive performance. Conclusions:The predictive model constructed in this study had good predictive performance and could provide reference for clinical nursing staff to screen high-risk patients with perineal radiation dermatitis.

Objective:To construct a risk prediction model for radiation dermatitis in the perineum of cervical cancer patients undergoing radiotherapy, and verify the predictive effect of the model, so as to provide theoretical basis for reducing the risk of perineal radiation dermatitis in clinical practice.Methods:A prospective study design was used to conveniently select 247 cervical cancer patients who received radiotherapy at Tianjin Medical University Cancer Institute & Hospital from January 2022 to March 2023 as the modeling group. They were divided into a group with perineal radiodermatitis ( n = 130) and a group without perineal radiodermatitis ( n = 117). The data of the two groups were compared, and a risk prediction model was constructed based on the results of logistic regression analysis. Used the area under the receiver operating characteristic (ROC) curve to test the predictive performance of the model. From May to November 2023, 109 patients were selected as the validation group to conduct external validation of the model. Results:Among the 247 patients in the modeling group, the age of the group with perineal radiodermatitis was (45.31 ± 7.25) years old, and the age of the group without perineal radiodermatitis was (46.70 ± 6.43) years old. The incidence of perineal radiation dermatitis during radiotherapy in the modeling group was 52.6% (130/247), while in the validation group it was 44.0% (48/109). The final predictive variables included in the model were high blood sugar or not ( OR = 0.304, 95% CI 0.174-0.530), vaginal bleeding/discharge or not ( OR = 4.338, 95% CI 2.397-7.854), involvement of 1/3 of the vagina or not ( OR = 0.497, 95% CI 0.281-0.879), whether topical skin protectants could be used( OR = 3.479, 95% CI 1.596-7.583), whether skin protectants could be used in a standardized manner ( OR = 2.399, 95% CI 1.201-4.789), whether the skin could be cleaned with the correct cleaning agent ( OR = 3.155, 95% CI 1.603-6.209), and whether the skin could be wiped with the correct method ( OR = 3.325, 95% CI 1.806-6.121), totaling 7 predictive factors (all P<0.05). The area under the ROC curve of the prediction model was 0.866, the sensitivity was 0.735, and the specificity was 0.852, the Youden index was 0.587. Model validation results showed the area under the ROC curve was 0.762, the sensitivity was 0.815, the specificity was 0.717, and the accuracy was 80.73%, indicating good predictive performance. Conclusions:The predictive model constructed in this study had good predictive performance and could provide reference for clinical nursing staff to screen high-risk patients with perineal radiation dermatitis.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.