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.Clinical Study of Huatan Tongluo Decoction in the Treatment of Post-Stroke Cognitive Impairment Based on BDNF Pathway
Yang YANG ; Su RUAN ; Hui LIANG ; Qiaolan CHEN ; Nianwen YAN ; Yanping HUANG
Journal of Nanjing University of Traditional Chinese Medicine 2024;40(9):979-984
		                        		
		                        			
		                        			OBJECTIVE To observe the clinical efficacy of Huatan Tongluo Decoction in the treatment of post-stroke cognitive impairment(PSCI)with phlegm stasis obstructing collaterals syndrome,and its influence on the serum brain-derived neurotrophic fac-tor(BDNF)pathway-related factors.METHODS Sixty patients who met the inclusion criteria were collected and randomly divided into a control group and a treatment group with 30 patients each.The control group was given basic treatment and nimodipine,while the treatment group was given Huatan Tongluo Decoction on the basis of the treatment in the control group.The treatment course for both groups was 4 weeks.Changes in Mini-Mental State Examination(MMSE),TCM syndrome scores and serum levels of BDNF,nuclear transcription factor κB(NF-κB),B lymphocyte tumor-2(Bcl-2)and Bcl-2-associated X protein(Bax)were compared between the two groups before and after treatment.The TCM clinical efficacy in the two groups of patients was evaluated after treatment,and the oc-currence of adverse reactions was observed during treatment.RESULTS After treatment,the MMSE scores of the patients in the two groups increased significantly,the total TCM syndrome scores decreased significantly(P<0.01),and the treatment group was better than the control group(P<0.01);the serum BDNF,NF-κB,and Bcl-2 levels of the two groups of patients were significantly in-creased(P<0.05,P<0.01),and the Bax level was significantly decreased(P<0.01).The treatment group was better than the control group(P<0.01).CONCLUSION Huatan Tongluo Decoction can improve the clinical symptoms of PSCI patients with phlegm stasis obstructing collaterals,and is safe and effective.Its therapeutic mechanism may be related to regulating the BDNF pathway to protect nerve cells and inhibit nerve cell apoptosis.
		                        		
		                        		
		                        		
		                        	
5.Study on the correlation between neuropeptide S receptor gene polymorphism and primary insomnia
Jie FAN ; Peilin HUI ; Wei MA ; Xubin WANG ; Yuan ZHAO ; Jinfeng WANG ; Xueping CHEN ; Xiaoyan SU ; Bin GUO ; Yuping XIE
China Modern Doctor 2024;62(21):1-5,46
		                        		
		                        			
		                        			Objective To investigate the correlation between neuropeptide S receptor(NPSR)single nucleotide polymorphism(SNP)(rs323917,rs323920,rs323922,rs2530547,rs324957)and primary insomnia(PI).Methods A total of 157 patients diagnosed with PI in the outpatient department of Center of Sleep Medicine,Gansu Provincial People's Hospital from December 2016 to May 2019 were selected as PI group,and 133 healthy physical examination subjects during the same period were selected as control group.Venous blood samples were collected and DNA,polymerase chain reaction(PCR)amplification and agarose gel electrophoresis were extracted.rs323917,rs323920,rs323922,rs2530547,rs324957 single nucleotide loci were genotypized by target site sequencing.Meanwhile,standard polysomnosis monitoring was performed to analyze the correlation between gene polymorphism and PI.Results There were no significant differences in the genotype distribution of NPSR SNP sites(rs323917,rs323920,rs323922,rs2530547)and allele frequency and rs324957 allele frequency between two groups(P>0.05).There was significant difference in genotype distribution of rs324957(P=0.034).There was no significant difference in the frequency of different haplotypes between two groups(P>0.05).Conclusion The expression of rs324957 SNP genotypes in NPSR may be related to PI,and AG genotype is dominant.
		                        		
		                        		
		                        		
		                        	
6.Analysis of medication patterns for palpitation based on data mining and network pharmacology
Fuping WU ; Xinlan BAI ; Yuyin WANG ; Yingying SU ; Siyuan CHEN ; Hui SHEN ; Yaping LI
China Modern Doctor 2024;62(25):70-76
		                        		
		                        			
		                        			Objective To analyze medication patterns and the targets and pathways of core drug combinations in treatment of palpitation.Methods The prescriptions of Li Yaping for treatment of palpitation from March 2023 to March 2024 were collected,and frequency counts of drugs'nature and flavour,channel tropism,and efficacy were performed.Apriori algorithm,association rules,and clustering analysis were carried out using SPSS Modeler 18.0 and SPSS 26.0.The core drugs and disease targets were searched,and gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis were performed on the targets of their therapeutic action for palpitation.Results A total of 220 prescriptions were collected,involving 192 flavors of traditional Chinese medicines,with a cumulative medication frequency of 3978 times,and 18 flavors of high-frequency medicines.The medicines were mainly tonics,sedative,and promoting blood circulation for removing blood stasis.The distribution of medicinal properties were mainly warm,cold and flat.The medicinal flavors were mainly sweet,bitter and pungent,and channel tropism were mostly heart,liver and spleen channel.Association rule analysis showed that Radix Angelicae Sinensis,Radix et Rhizoma Salviae Miltiorrhizae,Radix et Rhizoma Glycyrrhizae,Radix Ophiopogonis,and Radix Astragali were the core drugs.Cluster analysis showed that there was 3 cluster combinations.In the network pharmacology part,there were 181 targets intersected by drug combinations and diseases.KEGG analysis showed that the core drugs for palpitation mainly involved signaling pathways such as phosphoinositide 3-kinase/protein kinase B,hypoxia-inducible factor-1,mitogen-activated protein kinase,interleukin-17,etc.GO analysis obtained 1000 GO pathways,of which 760 were biological processes,93 were cellular components,and 147 were molecular functions.Conclusion In the treatment of palpitation,Li Yaping advocates benefiting qi and promoting yang,removing blood stasis and eliminating turbidity,and tranquilizing the mind,emphasizing the"two hearts in the same adjustment",and treating the heart and liver at the same time,taking into account the spleen and stomach,and the combination of core medicines can intervene in the course of palpitation through multi-components,multi-targets,and multi-pathways,which is of great significance for the treatment of palpitation in the clinical setting.
		                        		
		                        		
		                        		
		                        	
7.Preparation and properties of 177Lu-labeled HER2 affibody
Hongxia GUO ; Donghui PAN ; Chen SU ; Yuping XU ; Lizhen WANG ; Junjie YAN ; Xinyu WANG ; Chongyang CHEN ; Hui YANG ; Min YANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2024;44(6):330-336
		                        		
		                        			
		                        			Objective:To prepare a 177Lu labeled human epidermal growth factor receptor 2 (HER2) affibody 177Lu-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-maleimide (Mal)-cysteine (Cys)-ZHER 2: 342 ( 177Lu-NOTA-MZHER2 for short), and investigate its labeling process and anti-tumor properties. Methods:Two kinds of buffer systems (sodium acetate buffer system and sodium ascorbate buffer system) were investigated. The effects of pH value, precursor mass and reaction temperature on 177Lu labeling NOTA-MZHER2 were compared to obtain optimal labeling conditions. The radiochemical purity of labeled product was determined by instant thin-layer chromatography (ITLC), and its stabilities in PBS and plasma were observed. Human ovarian cancer cell line SKOV-3 was selected for cell internalization and cytotoxicity test to evaluate cell uptake and killing effect of 177Lu-NOTA-MZHER2. SKOV-3 tumor-bearing mice( n=3) were injected with 177Lu-NOTA-MZHER2, and microSPECT/CT imaging was performed. Another 40 tumor-bearing mice were divided into 22.2 MBq group (tail vein injection with probe of 22.2 MBq), control group (tail vein injection with PBS), low-dose group (tumor injection with probe of 3.7 MBq) and high-dose group (tumor injection with probe of 7.4 MBq). Tumor volume and mass of tumor-bearing mice were monitored after injection, and the anti-tumor effect and toxicity of probe were evaluated. Repeated measurement analysis of variance (Bonferroni method) was used to analyze the data. Results:The optimal labeling condition was 70-80 ℃ for 30 min in the system of sodium acetate buffer solution with pH=4 and precursor mass of 50 μg. Under these conditions, the labeling rate of 177Lu-NOTA-MZHER2 was (99.3±0.4)% and radiochemical purity was >99%. After 12 d in PBS and plasma, the radiochemical purities were (95.0±1.5)% and (95.0±2.1)%. Results of cell experiment showed that the internalization of 177Lu-NOTA-MZHER2 accounted for (29.02±3.50)% of the total uptake, and the survival rate of SKOV-3 cells was (48±6)% with the probe concerntration of 6×10 -3 Bq/L. SPECT imaging showed that 177Lu-NOTA-MZHER2 was still concentrated at the tumor site 96 h after injection with a dose of 18.5 MBq. Relative tumor volume (RTV) of tumor-bearing mice in 22.2 MBq group, high-dose group and low-dose group was significantly different from that in control group ( F=21.75, P<0.001). Twenty days after injection, RTV and relative body mass of the tumor-bearing mice in high-dose group were (140±7)% and (80±9)%, respectively. Compared with control group, high-dose group had obvious anti-tumor effect (both P<0.001). Conclusion:177Lu-NOTA-MZHER2 is successfully prepared, which is simple and efficient, and the probe has good anti-tumor effect.
		                        		
		                        		
		                        		
		                        	
8.Photothermal-sensitive biomimetic liposomes coated with DOX and IR820 for chemo-photothermal-photodynamic therapy of cancer in lung cancer cells
Shi-zhuang LI ; Yu-ping KAN ; Ming CHEN ; Hui SU ; Xue-ying YAN
Acta Pharmaceutica Sinica 2024;59(5):1430-1440
		                        		
		                        			
		                        			 In this study, doxorubicin (DOX) was used as the model drug, new indocyanine green (IR820) as the photosensitizer, and temperature sensitive liposomes (TSL) as the carrier. H460-NCI photoheat-sensitive liposomes coated with cell membrane of human cell lung cancer (DOX-IR820-TSL@CCM) for highly effective multi-pathway tumor targeting in chemical-photothermal therapy and photodynamic therapy. DOX-IR820-TSL was prepared by reverse evaporation, cancer cell membrane (CCM) was prepared by lysis, crushing and centrifugation, and DOX-IR820-TSL@CCM was prepared by nanomembrane extrusion. The drug-loading conditions of DOX-IR820-TSL were finally determined: the ratio of organic phase to aqueous phase was 4.02, the dosage of dipalmitoyl-
		                        		
		                        	
9.Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing
Li Ya ZHANG ; Zhe Wen SU ; Chen Rui WANG ; Yan LI ; Feng Jun ZHANG ; Hui Sheng LIU ; He Dan HU ; Xiao Chong XU ; Yu Jia YIN ; Kai Qi YIN ; Ying HE ; Fan LI ; Hong Shi FU ; Kai NIE ; Dong Guo LIANG ; Yong TAO ; Tao Song XU ; Feng Chao MA ; Yu Huan WANG
Biomedical and Environmental Sciences 2024;37(3):294-302
		                        		
		                        			
		                        			Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.
		                        		
		                        		
		                        		
		                        	
10.Management and Development of Health-related Standards in Nations and Organizations: An Evidence-based Review
Hongfeng HE ; Qiannan TIAN ; Qi ZHOU ; Junxian ZHAO ; Renfeng SU ; Zhewei LI ; Hui LIU ; Nan YANG ; Yaolong CHEN ; Liqun WU ; Xiaohui WANG
Medical Journal of Peking Union Medical College Hospital 2024;15(1):202-210
		                        		
		                        			
		                        			
		                        		
		                        	
            
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