OBJECTIVE To optimize the simmering technology of Rheum palmatum from Menghe Medical School and compare the difference of chemical components before and after processing. METHODS Using appearance score， the contents of gallic acid， 5-hydroxymethylfurfural （5-HMF）， sennoside A+sennoside B， combined anthraquinone and free anthraquinone as indexes， analytic hierarchy process （AHP）-entropy weight method was used to calculate the comprehensive score of evaluation indicators； the orthogonal experiment was designed to optimize the processing technology of simmering R. palmatum with fire temperature， simmering time， paper layer number and paper wrapping time as factors； validation test was conducted. The changes in the contents of five anthraquinones （aloe-emodin， rhein， emodin， chrysophanol， physcion）， five anthraquinone glycosides （barbaloin， rheinoside， rhubarb glycoside， emodin glycoside， and emodin methyl ether glycoside）， two sennosides （sennoside A， sennoside B）， gallic acid and 5-HMF were compared between simmered R. palmatum prepared by optimized technology and R. palmatum. RESULTS The optimal processing conditions of R. palmatum was as follows: each 80 g R. palmatum was wrapped with a layer of wet paper for 0.5 h， simmered on high heat for 20 min and then simmered at 140 ℃， the total simmering time was 2.5 h. The average comprehensive score of 3 validation tests was 94.10 （RSD＜1.0%）. After simmering， the contents of five anthraquinones and two sennosides were decreased significantly， while those of 5 free anthraquinones and gallic acid were increased to different extents； a new component 5-HMF was formed. CONCLUSIONS This study successfully optimizes the simmering technology of R. palmatum. There is a significant difference in the chemical components before and after processing， which can explain that simmering technology slows down the relase of R. palmatum and beneficiate it.

This case report describes a 68-year-old male patient diagnosed with primary hepatocellular carcinoma (HCC). After receiving Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT), the tumor significantly reduced in size, and tumor markers alpha fetoprotein (AFP) and abnormal prothrombin (PIVKA-Ⅱ) decreased. Postoperative pathological results showed minimal residual tumor cells, indicating that ⁹⁰Y-SIRT has good efficacy and safety in downstaging and conversion of HCC, thereby facilitating subsequent surgical resection.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

ObjectiveTo analyze the expression level of triggering receptor expressed on myeloid cells-1 （TREM-1） in serum and ascites of patients with cirrhotic ascites， and to investigate its correlation with clinical features and inflammatory markers and its role in the diagnosis of infection and prognostic evaluation. MethodsA total of 110 patients with cirrhotic ascites who were hospitalized in The Fifth Hospital of Shijiazhuang from January 2019 to December 2020 were enrolled， and according to the presence or absence of intra-abdominal infection， they were divided into infection group with 72 patients and non-infection group with 38 patients. The patients with infection were further divided into improvement group with 38 patients and non-improvement group with 34 patients. Clinical data and laboratory markers were collected from all patients. Serum and ascites samples were collected， and ELISA was used to measure the level of TREM-1. The independent-samples t test was used for comparison of normally distributed continuous data between two groups； the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups； the chi-square test was used for comparison of categorical data between two groups. A Spearman correlation analysis was used to investigate the correlation between indicators. A multivariate Logistic regression analysis was used to identify the influencing factors for the prognosis of patients with cirrhotic ascites and infection. The receiver operating characteristic （ROC） curve was used to evaluate the diagnostic and prognostic efficacy of each indicator， and the Delong test was used for comparison of the area under the ROC curve （AUC）. ResultsThe level of TREM-1 in ascites was significantly positively correlated with that in serum （r=0.50， P<0.001）. Compared with the improvement group， the non-improvement group had a significantly higher level of TREM-1 in ascites （Z=-2.391， P=0.017） and serum （Z=-2.544， P=0.011）， and compared with the non-infection group， the infection group had a significantly higher level of TREM-1 in ascites （Z=-3.420， P<0.001）， while there was no significant difference in the level of TREM-1 in serum between the two groups （P>0.05）. The level of TREM-1 in serum and ascites were significantly positively correlated with C-reactive protein （CRP）， procalcitonin （PCT）， white blood cell count， and neutrophil-lymphocyte ratio （r=0.288， 0.344， 0.530， 0.510， 0.534， 0.454， 0.330， and 0.404， all P<0.05）. The ROC curve analysis showed that when PCT， CRP， and serum or ascitic TREM-1 were used in combination for the diagnosis of cirrhotic ascites with infection， the AUCs were 0.715 and 0.740， respectively. The multivariate Logistic regression analysis showed that CRP （odds ratio ［OR］=1.019， 95% confidence interval ［CI］： 1.001‍ ‍—‍ ‍1.038， P=0.043） and serum TREM-1 （OR=1.002， 95%CI： 1.000‍ ‍—‍ ‍1.003， P=0.016） were independent risk factors for the prognosis of patients with cirrhotic ascites and infection， and the combination of these two indicators had an AUC of 0.728 in predicting poor prognosis. ConclusionThe level of TREM-1 is closely associated with the severity of infection and prognosis in patients with cirrhotic ascites， and combined measurement of TREM-1 and CRP/PCT can improve the diagnostic accuracy of infection and provide support for prognostic evaluation.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Humans ; PPAR gamma/metabolism* ; Multiple Sclerosis ; Transcription Factors/metabolism* ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha

BACKGROUND:There have been many studies on adjacent vertebral fractures in elderly female patients with osteoporotic vertebral compression fractures,but their related risk factors are still in debate.There are also few studies on how to intuitively present their risks for clinical application. OBJECTIVE:To analyze the risk factors of adjacent vertebral refracture in senile women with osteoporotic vertebral compression fracture and construct a Nomogram prediction model. METHODS:A total of 268 elderly female patients with osteoporotic vertebral compression fracture who came to Ganzhou People's Hospital for treatment from January 2018 to November 2022 were selected and divided into study group(adjacent vertebral refracture,n=31)and control group(no adjacent vertebral refracture,n=237)according to whether adjacent vertebral refracture occurred 3 months after percutaneous vertebroplasty.General clinical data were compared between the two groups.Multivariate Logistic regression analysis was conducted to analyze the independent risk factors of adjacent vertebral refracture in elderly women with osteoporotic vertebral compression fracture.A Nomogram prediction model was constructed by R software"rms"package. RESULTS AND CONCLUSION:(1)There were statistically significant differences in age,menopause age,body mass index,fracture history,number of fractured vertebra before surgery,bone cement leakage,bone density,postoperative kyphotic deformity angle,and preoperative Oswestry disability index between the two groups(P<0.05).(2)Multivariate logistic regression analysis results showed that age(>69 years old),menopause age(≤51 years old),body mass index(>24.7 kg/m2),fracture history(presence),number of fractured vertebra before surgery(≥2),and postoperative kyphotic deformity angle(>13°)were independent risk factors for adjacent vertebral refracture in elderly female osteoporotic vertebral compression fracture patients(P<0.05).(3)Nomogram prediction model decision curve results displayed that when the risk threshold was>0.09,this prediction model provided significant additional clinical net benefit.(4)These findings indicate that older age,lower menopause age,higher body mass index,history of fracture,more vertebra fractures before surgery,and larger kyphosis angle after surgery are independent factors for adjacent vertebral refracture in elderly women with osteoporotic vertebral compression fracture.This Nomogram prediction model will provide important strategic guidance for the prevention and treatment of adjacent vertebral refracture in elderly women with osteoporotic vertebral compression fracture.

Objective:Based on the relevance risk analysis of medical equipment,to formulate process management strategies to improve the clinical operation efficiency of medical equipment.Methods:The risk matrix was evaluated from the perspectives of subject,quality,environment,system and diagnosis and treatment perspective,the comprehensive evaluation model of relevance risk was established,and multiple process management countermeasures were formulated.400 sets of medical equipment in clinical use in Shanghai Eighth People's Hospital from April 2021 to March 2022 were selected and divided into the control group and the observation group by the digital table method,with 200 sets in each group.The control group adopted the individualized risk analysis method for process management,and the observation group adopted the relevance risk analysis method for process management.The risk level and operation benefits of the two groups of medical equipment were compared and analyzed.Results:The high risk rates of medical imaging diagnostic and auxiliary equipment,surgical treatment equipment,life support and first aid equipment,extracorporeal circulation and blood processing equipment,health monitoring and rehabilitation equipment in the observation group were 17.39%(4/23),14.58%(7/28),12.24%(6/49),5.55%(1/18)and5.06%(5/62),respectively,which were lower than those in the control group,the difference was statistically significant(x2=4.132,4.009,6.275,4.833,4.859,P<0.05).The scores of cost benefit,social benefit,diagnosis and treatment benefit and development benefit of medical equipment in the observation group were(91.37±6.15)points,(92.78±3.80)points,(95.25±2.09)points and(90.51±3.82)points,respectively,which were higher than those in the control group,the difference was statistically significant(t=2.392,3.877,4.841,2.504,P<0.05).Conclusion:The relevance risk analysis method can reduce the probability and hazard degree of medical equipment safety risks,improve the clinical operation efficiency of medical equipment,and the process management strategy is in line with the actual needs of the medical equipment lifecycle management.

Objective To analyze the changes of the cost and structure of coronary intervention patients before and after the centralized procurement of coronary stents in Zhejiang Province.Methods It was conducted on the medical expenses of patients in the FM1 group(percutaneous coronary stent implantation)of a Class A tertiary hospital in Zhejiang Province from February to December in each 2020 and 2021.The number of cases was 1 403 and 1 698,re-spectively.A nonparametric test was conducted on the patient expenses before and after the reform.Results There are significant differences in total medical expenses,material expenses,treatment expenses,operation expenses and drug expenses before and after centralized purchase(P＜0.01);After the implementation of centralized procure-ment,material cost of patients decreased significantly,while the treatment cost increased;At the same time,the more coronary stents were placed,the greater the decrease in the total medical expenses and material expenses.Conclusion The centralized procurement of coronary stents can reduce the medical burden of patients,improve the structure of medical expenses,enhance the value of technical labor services of medical personnel,and promote DRG cost control.