1.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
2.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
3.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
4.Effect of loading angle and fabrication materials on stress distribution with periodontal splint in compromised periodontal tissues: a finite element study
Ming FANG ; Yuchen LIU ; Sheng ZHONG ; Dongmei LI ; Tong YANG ; Shizhu BAI
Chinese Journal of Stomatology 2024;59(11):1120-1125
		                        		
		                        			
		                        			Objective:To evaluate the effect of polyetheretherketone (PEEK) periodontal splints and splints made from other materials under static loading on stress distributions in periodontal tissues, cement layer, and splints themselves.Methods:A finite element model based on cone-beam CT imaging data of a 25-year-old male patient (treated at the Department of Prosthodontics, School of Stomatology, The Fourth Military Medical University in October 2021 for a cracked maxillary molar) with a healthy and intact mandibular dentition and periodontal health was constructed. The finite element model included anterior mandible dentition, mandibular bone model without bone resorption (WBR group), a periodontally compromised mandible model (control group), and three types of periodontal splints: a PEEK periodontal splint (0.7 mm thick, Young′s modulus: 4.1 MPa), a fiber-reinforced resin (FRC) splint (1.0 mm thick, Young′s modulus: 37.0 MPa), and a titanium splint (1.2 mm thick, Young′s modulus: 110.0 MPa). The bone resorption models fixed with different periodontal splints constituted the experimental groups (PEEK group, FRC group and titanium group). Loading of 100 N was applied on the midpoint of the incisal edge of tooth 41. The direction was set at 0°, which was parallel to the long axis of the tooth and downward. The buccal to lingual and downward angles were 30°and 60°, respectively, perpendicular to the long axis of the tooth and 90° to the lingual side. The finite element analysis software was utilized to analyze the stress distribution characteristics of the periodontal tissues, adhesive layer, and the splint itself in the anterior mandibular teeth among the different group.Results:Under the different loading simulation, in the control group, the maximal von Mises stresses of periodontal ligament and bone were 15.7-50.2 MPa and 38.8-130.3 MPa, respectively, and in the WBR group, the maximal von Mises stresses of periodontal ligament and bone were 3.6-6.4 MPa and 16.5-42.7 MPa, respectively. Under the same loading conditions, the magnitude of maximal von Mises stresses in periodontal tissues in the PEEK group was 4.6-6.2 MPa, and the magnitude of stresses in the periodontal ligament of 41 teeth in the WBR group was similar to that in the PEEK group, but higher than that in the FRC and titanium groups. The maximal von Mises stresses of each group is primarily distributed in the periodontal ligament and alveolar bone at the cervical area of the tooth. The higher the elastic modulus of the splint, the higher its own maximal von Mises stresses, and the smaller the maximal principal stresses transmitted to the adhesive layer. In the PEEK group and titanium group, the stress distribution area in the adhesive layer and the splint was near the splint connection adjacent to tooth 41.Conclusions:Periodontal splints fabricated from three types of materials, are effective in distributing stress within the periodontal tissues of the abutment teeth. Compared to FRC and titanium group, the higher PEEK splint stress value was obtained, and the smaller the stress value was transmitted to its adhesive layer.
		                        		
		                        		
		                        		
		                        	
5.Digital technologies embedding,enhancing organizational resilience and reshaping service system in primary healthcare:Mechanism and action framework
Zhong LI ; Liang ZHANG ; Hao-Miao LI ; Zhao-Han CUI ; Ming-Sheng CHEN
Chinese Journal of Health Policy 2024;17(9):36-43
		                        		
		                        			
		                        			Using the"structure-process-outcome-institution"framework,this article analyzes the conceptual connotation and manifestation of primary care resilience.The mechanism by which digital technologies embedding improve organizational resilience of primary healthcare institution was elucidated;From the resilience perspective,an action framework for reshaping the primary healthcare system by digital technologies was constructed.Research has found that:1)Organizational resilience is the core of primary healthcare resilience.2)Digital technologies mainly promote coupling coordination between resource and organization through promoting change perception,knowledge absorption,and knowledge integration,improve organizational resilience of primary healthcare institution.3)There is a bidirectional interaction between the improvement of organizational resilience and reshaping primary healthcare system;4)The relevant departments should unify instrumental rationality,institutional rationality,and value rationality to establish the embedding,governance,and evaluation framework for digital technologies to reshape the primary healthcare system.
		                        		
		                        		
		                        		
		                        	
6.Application of Hisense computer-assisted surgery system in perioperative period of laparoscopic hepatectomy for liver cancer
Xin-Yu LI ; Zi-Qi ZANG ; Qi-Sheng HAO ; Li-Chao CHA ; Ming-Kai GONG ; Guo-Fei DONG ; Qing-Ze LI ; Lan-Tian TIAN
Chinese Journal of Current Advances in General Surgery 2024;27(6):435-441
		                        		
		                        			
		                        			Objective:To explore the clinical application of Hisense Computer-Assisted Sur-gery System(CAS)in the perioperative period of hepatectomy for liver cancer.Methods:Clinical data of patients undergoing laparoscopic hepatectomy(LH)for liver cancer from January 2021 to December 2022 were collected.Patients were divided into three groups based on surgical difficulty(low,medium,high)and further stratified into CAS-assisted subgroup and control subgroup ac-cording to whether the CAS system was used.Demographic and perioperative data were com-pared among different groups.Results:A total of 317 patients'clinical data were collected,in-cluding 31 cases in the low difficulty group,132 cases in th medium difficulty group,and 154 cases in the high difficulty group,with 108 cases(34.1%)in the CAS-assisted subgroup and 209 cases(65.9%)in the control group.In the medium difficulty group,the CAS-assisted subgroup had shorter operation time,drainage tube duration,and postoperative hospital stay compared to the control group(P<0.001),and the AFP levels at 1 month postoperatively in the CAS-assisted sub-group were lower than those in the control group(P<0.001).In the high difficulty group,the CAS-assisted subgroup showed shorter operation time,drainage tube duration,and postoperative hospi-tal stay,less intraoperative blood loss,and lower AFP levels 1 month post-operation compared to the control group(P<0.001 for all).Conclusion:Preoperative CAS in medium and high difficulty laparoscopic liver resections improves perioperative outcomes.Hisense CAS effectively assists general surgeons in accurately identifying the anatomical site of liver tumors,providing precise pre-operative simulation and intraoperative navigation,thereby optimizing surgical strategies for pa-tients.
		                        		
		                        		
		                        		
		                        	
7.Downregulation of MUC1 Inhibits Proliferation and Promotes Apoptosis by Inactivating NF-κB Signaling Pathway in Human Nasopharyngeal Carcinoma
Shou-Wu WU ; Shao-Kun LIN ; Zhong-Zhu NIAN ; Xin-Wen WANG ; Wei-Nian LIN ; Li-Ming ZHUANG ; Zhi-Sheng WU ; Zhi-Wei HUANG ; A-Min WANG ; Ni-Li GAO ; Jia-Wen CHEN ; Wen-Ting YUAN ; Kai-Xian LU ; Jun LIAO
Progress in Biochemistry and Biophysics 2024;51(9):2182-2193
		                        		
		                        			
		                        			ObjectiveTo investigate the effect of mucin 1 (MUC1) on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. MethodsThe 60 NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). Cell proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the levels of TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). ResultsThe expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. ConclusionDownregulation of MUC1 restrained biological characteristics of malignancy, including cell proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC. 
		                        		
		                        		
		                        		
		                        	
8.Cordycepin targets HDAC7 to mediate epithelial-mesenchymal transition to ameliorate pulmonary fibrosis
Xiao-ye WANG ; Ming-han CHENG ; Guang-li SHENG ; Yue WU ; Jian GAO
Acta Pharmaceutica Sinica 2024;59(6):1627-1638
		                        		
		                        			
		                        			 Cordycepin (Cpn), a natural active compound derived from the traditional Chinese medicine
		                        		
		                        	
9.Study on multi-component contents of Jinqi Jiangtang Capsule
Tian TIAN ; Rong SHI ; Jia-sheng WU ; Tian-ming WANG ; Jian-guo LI ; Guo-feng XIA ; An-ning LI ; Yuan-yuan LI ; Yue-ming MA
Acta Pharmaceutica Sinica 2024;59(10):2849-2856
		                        		
		                        			
		                        			 Jinqi Jiangtang Capsule (JQJTC) is clinically used for the prevention and treatment of type 2 diabetes, but the contents of its main chemical components are not yet clear. In this study, an ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method was established for the determination of 15 components in JQJTC, including new chlorogenic acid, chlorogenic acid, cryptochlorogenic acid, formononetin, ononin, calycosin, calycosin-7-glucoside, astragaloside IV, berberine, epiberberine, berberrubine, coptisine, jatrorrhizine, palmatine and magnoflorine. The method was used to determine the contents of 15 components in the capsule and then to investigate the influence of excipients on the contents of the components in JQJTC. The separation was performed on a ACQUITY UPLC BEH C18 column (100 mm × 2.1 mm, 1.7 μm) with a mobile phase consisting of 0.1% acetic acid and 5 mmol·L-1 ammonium acetate (A) and acetonitrile (B) with gradient elution at a flow rate of 0.3 mL·min-1 and a column temperature at 40 ℃. Electron spray ionization was used for mass spectrometry in positive ion mode. The established method meets the requirements of methodology of content determination in Chinese pharmacopoeia. The contents of 15 components in JQJTC varied from high to low. The top 5 contents were berberine, chlorogenic acid, magnoflorine, coptisine, and cryptochlorogenic acid, accounting for 87.31% of the total content. The contents of 10 components, including the alkaloids of coptidis rhizoma (berberine, epiberberine, berberrubine, coptisine, jatrorrhizine, palmatine and magnoflorine) and the organic acids of honeysuckle (new chlorogenic acid, chlorogenic acid, and cryptochlorogenic acid) in the whole formula extract without excipients was significantly lower than that in the capsule. These components accounted for 99.20% of the determined component contents. In this experiment, an accurate, sensitive and efficient UHPLC-MS/MS method for the determination of multi-components in JQJTC was established, which stably and reliably detected the contents of 15 components in the capsule and could provide the basis for more comprehensive quality analysis. It was also found that excipients had an increasing effect on the contents of detected alkaloid and organic acid components, which may be beneficial to the effectiveness of the capsules. 
		                        		
		                        		
		                        		
		                        	
		                				10.Ameliorative effect of Panax notoginseng  saponins eye drops on non-proliferative diabetic retinopathy in rats
		                			
		                			Xin SUN ; Ya-ru WANG ; Xue-mei CHENG ; Hong-yu CHEN ; Ming CHEN ; Shu-sheng LAI ; Li-li JI ; Xiao-hui WEI ; Chang-hong WANG
Acta Pharmaceutica Sinica 2024;59(5):1271-1279
		                        		
		                        			
		                        			 Diabetic retinopathy (DR) is a diabetic ocular complication that can lead to poor vision and blindness. This experiment aimed to investigate the ameliorative effect and its mechanism of 
		                        		
		                        	
            
Result Analysis
Print
Save
E-mail