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.Analysis of epidemiological and clinical characteristics of 1247 cases of infectious diseases of the central nervous system
Jia-Hua ZHAO ; Yu-Ying CEN ; Xiao-Jiao XU ; Fei YANG ; Xing-Wen ZHANG ; Zhao DONG ; Ruo-Zhuo LIU ; De-Hui HUANG ; Rong-Tai CUI ; Xiang-Qing WANG ; Cheng-Lin TIAN ; Xu-Sheng HUANG ; Sheng-Yuan YU ; Jia-Tang ZHANG
Medical Journal of Chinese People's Liberation Army 2024;49(1):43-49
Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6%),Mycobacterium tuberculosis 249(20.0%),other bacteria 150(12.0%),fungi 68(5.5%),parasites 18(1.4%),Treponema pallidum 18(1.4%)and rickettsia 1(0.1%).The number of cases increased by 177 cases(33.1%)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ¥29,500(¥16,000,¥59,200).The mortality rate from CNS infectious diseases is 1.6%.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.
5.Effects of microRNA-103a-3p on osteoporosis through tumor protein 53-regulated inhibitor of apoptosis 1/P53
Jie-He HUANG ; Qian WANG ; Shun-Jie JIA ; Sheng YANG
Acta Anatomica Sinica 2024;55(2):174-180
Objective To investigate the efeects of microRNA(miR)-103a-3p regulates tumor protein 53-regulated inhibitor of apoptosis 1(TRIAP1)on osteoblast differentiation and bone mass in ovariectomized mice.Methods MC3T3-E1 cells were divided into normal group,miR-103a-3p-NC group,miR-103a-3p mimic group,miR-103a-3p mimic+TRIAP1-NC group,miR-103a-3p mimic+TRIAP1 mimic group.mRNA expression of miR-103a-3p,TRIAP1,P53 were detected by Real-time PCR;Cell proliferation and apoptosis were detected by MTT test and flow cytometry;cytoskeleton and mineralization of cells were detected by F-actin immunofluorescence staining and alizarin staining;alkaline phosphatase(ALP)activity was detected by ELISA.24 female mice were divided into sham group,osteoporosis(OP)group,miR-103a-3p antagonist-NC group,miR-103a-3p antagonist group(six in each group),extract bilateral ovaries to establish an OP model,sham group mice only isolated fat around ovarian tissue.mRNA expression of miR-103a-3p,TRIAP1,P53,ALP,osteocalcin(OCN),osteopontin(OPN)of bone tissue were detected;microCT detect bone mineral density(BMD),bone mineral content(BMC);haematoxylin eosin staining was used to observe pathological changes of bone tissue.Results After miR-103a-3p mimic was transfected into cells,the miR-103a-3p and P53 expression increased,TRIAP1 expression decreased,cell proliferation decreased,apoptosis increased,F-actin expression decreased,the number of calcium nodules decreased,and ALP enzyme activity decreased(P<0.01);however,after TRIAP1 mimic was additionally transfected into cells,the above result caused by miR-103a-3p mimics were significantly reversed(P<0.01).In OP group,the miR-103a-3p and P53 expression in bone tissue increased,the TRIAP1,ALP,OCN and OPN expression decreased,BMD and BMC were decreased,and bone tissue construct was damaged(P<0.05);in miR-103a-3p antagonist group,the miR-103a-3p and P53 expression in bone tissue decreased,TRIAP1,ALP,OCN,OPN expression increased,BMD and BMC increased,and bone tissue construct was improved(P<0.05).Conclusion MiRNA-103a-3p mediate TRIAP1/P53 to inhibit proliferation and mineralization of osteoblast,while miR-103a-3p antagonistic treatment reduce bone loss in OP mice.
6.A quantitative study on the outcome of patients with breast cancer after autologous breast reconstruction and implant breast reconstruction based on multi-scaleon
Qiu-Ping WU ; Jiong WU ; Ke-Da YU ; A-Yong CAO ; Xiao-Yan HUANG ; Sheng CHEN ; Lei WANG ; Jia-Qin GUAN
Fudan University Journal of Medical Sciences 2024;51(1):81-88,127
Objective To evaluate the patient-reported outcome(PRO)of patients with breast cancer who underwent autologous breast reconstruction and implant breast reconstruction.Methods Patients who underwent breast reconstruction in Shanghai Cancer Center,Fudan University from Jan 2020 to Jun 2021 were selected,including 111 patients who underwent autologous breast reconstruction and 108 patients who underwent implant breast reconstruction.Chinese version Breast-Q2.0 scale,breast cancer specificity scale QLQ-BR23 and EORTC quality of life scale QLQ-C30 were used to investigate the PRO of the two groups 18 months after operation.Results The rate of stage Ⅲ breast cancer in the self-weight construction group was higher than that in the implant reconstruction group(64.9%vs.44.4%,P<0.001).The preoperative neoadjuvant therapy and postoperative radiotherapy in the autologous reconstruction group were higher than those in the implant reconstruction group(P<0.001).Postoperative chemotherapy and endocrine therapy in the autologous reconstruction group were lower than those in the implant reconstruction group(P<0.001).The study based on Breast-Q scale showed that the breast satisfaction of autologous reconstruction group was higher than that of implant reconstruction(59.28±17.20 vs.54.94±14.48,P<0.05).The study based on QLQ-BR23 showed that the self-weight construction group was higher than the implant reconstruction group in the field of arm symptoms(20.02±20.80 vs.12.65±16.18,P<0.05).The study based on QLQ-C30 scale showed that there was no significant difference in all functional areas and symptom areas of patients.There was no significant difference in the number and time of social regression between the two groups.Conclusion Breast reconstruction can improve the PRO of breast cancer patients,and oncology factors will affect the choice of breast reconstruction.Patients with autologous breast reconstruction are more satisfied with breast appearance,but upper limb symptoms such as swelling and pain are more obvious than implant reconstruction,which is related to the higher proportion of axillary lymph node dissection in patients with autologous reconstruction.There is no significant difference in quality of life and social regression between the two groups.
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.Effects of curcumol on iron death and epithelial-mesenchymal transition in hepatic stellate cells
Lei WANG ; Jin-Biao HUANG ; Yan-Qing HUANG ; Ze-Yu WANG ; Jia-Hui WANG ; Yang ZHENG ; Wei-Sheng LUO ; Tie-Jian ZHAO
The Chinese Journal of Clinical Pharmacology 2024;40(4):539-543
Objective To elucidate the effect of curcumol on hepatic stellate cell iron death and epithelial-mesenchymal transition(EMT),and to investigate the molecular mechanism of its anti-liver fibrosis effect.Methods A model of hepatic stellate cell activation was constructed using normal cultured hepatic stellate cells in vitro,and the cells were divided into blank group and experimental-L,-M,-H groups.The blank group was given DMEM complete culture solution for normal culture;the experimental-L,-M,-H groups were given DMEM complete culture solution containing 12.5,25.0 and 50.0 mg·L-1 curcumol for 48 h of intervention.The effects of curcumol on the proliferation of hepatic stellate cells was observed by CCK-8.The expression levels of glutathione peroxidase 4(GPX4)and solute carrier family 7 member 11(SLC7A11)were detected by Western blot.The expression levels of E-cadherin and N-cadherin were detected by immunofluorescence.Results The cell proliferation rates of the experimental-M,-H groups and blank group were(68.97±5.61)%,(61.91±4.40)%and(118.07±10.01)%;the relative expression levels of GPX4 were 0.37±0.04,0.28±0.03 and 0.58±0.05;the relative expression levels of SLC7A11 were 0.38±0.04,0.28±0.03 and 0.60±0.05;E-cadherin levels were 6.76±1.09,9.57±1.73 and 2.05±0.72;N-cadherin levels were 5.66±0.66,3.44±0.78 and 10.37±0.66.The differences of above indicators were statistically significant between the blank group and the experimental-M,-H groups(P<0.05,P<0.01).Conclusion Curcumol promotes iron death in hepatic stellate cells,thereby inhibiting hepatic stellate cell EMT,which may be its molecular mechanism to prevent and treat liver fibrosis.
9.Research status of traditional Chinese medicine monomer,drug-to-drug groups and compound formula in the treatment of endometriosis
Bin YUE ; Yuan-Huan CHEN ; Quan-Sheng WU ; Xiao-Hua ZHANG ; Yuan CHENG ; Hao MEI ; Can-Can HUANG ; Zuo-Liang ZHANG ; Xiu-Jia JI
The Chinese Journal of Clinical Pharmacology 2024;40(15):2283-2287
Interventions for endometriosis(EMs)include surgical excision of lesions and hormonal therapy,which usually have limited efficacy and adverse drug reactions.Traditional Chinese medicine(TCM)has the multi-component and multi-target characteristics,which can help patients achieve good clinical benefits by intervening in different parts of the disease.In this paper,we briefly discuss the modern pharmacology of Sanlang and Curcuma longa,and deeply summarize the possible mechanisms of action of TCM monomer and classical compound extracts and their active ingredients through signal pathways in inflammation,immune system,angiogenesis,hormone regulation,etc.,so as to provide theoretical bases for the clinical use of TCM monomers,drug-to-drug groups and compounds in the treatment of EMs.
10.Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi
Jian Yu LIANG ; Hui Jia RONG ; Xiu Xue WANG ; Sheng Jian CAI ; Dong Li QIN ; Mei Qiu LIU ; Xu TANG ; Ting Xiao MO ; Fei Yan WEI ; Xia Yin LIN ; Xiang Shen HUANG ; Yu Ting LUO ; Yu Ruo GOU ; Jing Jie CAO ; Wu Chu HUANG ; Fu Yu LU ; Jian QIN ; Yong Zhi ZHANG
Biomedical and Environmental Sciences 2024;37(1):3-18
Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

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