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.Correlation between stool form and diversity of intestinal flora among children and adolescents
WANG Bing, WU Yan, JIN Hui, PI Xionge, LIU Wei, XU Yongjie, ZHAO Gang
Chinese Journal of School Health 2024;45(1):104-109
Objective:
To investigate the differences and diversity changes in gut microbiota between children and adolescents with constipation and diarrhea, and healthy individuals, and to explore the correlation between changes in stool consistency and gut microbiota, in order to provide a scientific reference for the research on intestinal microecology among children and adolescents.
Methods:
From October 2021 to March 2022, a total of 42 children and adolescents with constipation and 37 with diarrhea from a tertiary hospital in Hangzhou City, and 43 healthy individuals from 3 primary and secondary schools were included in this study. Fecal samples of children and adolescents were collected and then stool genomic DNA was extracted for 16S rRNA gene high throughput sequencing, and the sequencing results were analyzed. In the analysis of alpha diversity, the Kruskal-Wallis rank sum test was used to compare the differences between the three groups, and the FDR multiple testing correction was used for pairwise comparisons. In the analysis of beta diversity, the Adonis test was used to compare the overall differences between the three groups, and the ANOSIM test was used for pairwise comparisons. In the LEfSe analysis, the LDA scores obtained through LDA analysis (linear regression analysis).
Results:
Alpha diversity analysis showed that there were statistically significant differences in the Shannon index (4.01, 3.81, 4.19) and Simpson index (0.05, 0.06, 0.04) between the diarrhea group, constipation group, and healthy group ( H=6.05, 6.35, P <0.1). Further pairwise comparison showed that the Shannon index and Simpson index of the healthy group were higher than those of the constipation group ( P <0.1). Beta diversity analysis showed that the impact of grouping factors on inter group differences was statistically significant ( R 2=0.045, P <0.1). Community composition analysis showed that there were 234 species in total among the three groups, and 36 unique species in the healthy group, 36 species in the diarrhea group, and 48 species in the constipation group. Species difference analysis showed significant differences in species composition at the genus level among the three groups ( H=0.000 05, 0.000 16, 0.000 20, 0.000 21, 0.000 53, 0.001 39, P <0.1), including Lachnospiraceae of Firmicutes phylum, Eubacterium hallii, Veillonellaceae, Qscillospiraceae, Butyricicoccaceae and Staphylococcaceae, respectively. KEGG abundance statistics and COG functional analysis showed that there were no significant differences in gene expression abundance of the same function among the three groups ( P >0.1).
Conclusions
The different stool consistency of children and adolescents is related to changes in gut microbiota composition. Compared to the healthy group, children with constipation or diarrhea have disrupted gut microbiota balance, with a shift in dominant bacteria and a higher abundance of opportunistic pathogens.
5.Based on the interaction between supramolecules of traditional Chinese medicine and enterobacteria to explore the material basis of combination of Rhei Radix et Rhizoma - Coptidis Rhizoma
Xiao-yu LIN ; Ji-hui LU ; Yao-zhi ZHANG ; Wen-min PI ; Zhi-jia WANG ; Lin-ying WU ; Xue-mei HUANG ; Peng-long WANG
Acta Pharmaceutica Sinica 2024;59(2):464-475
Based on the interaction between supramolecule of traditional Chinese medicine and enterobacteria, the material basis of
6.Metabonomic study of blood of mice with high-voltage electrical injury
Si-Yu CHEN ; Hui WANG ; Yan LUO ; Jia-Wen TAO ; Wen-Juan ZHANG ; Yang YUE ; Zheng-Ping YU ; Hui-Feng PI
Journal of Regional Anatomy and Operative Surgery 2024;33(2):100-106
Objective To explore the changes of metabonomics in blood of mice after high-voltage electric shock,then screen out the significantly changed differential metabolites and metabolic pathways.Methods The head of C57BL/6J mice was subjected to high-voltage electric shock(electric shock group)or exposed to acoustic and optical stimulation of high-voltage electric(control group),then the whole blood from mice were collected to separate serum.The dual platform combined metabonomic analysis based on gas chromatography-mass spectrometer(GC-MS)and liquid chromatography-mass spectrometer(LC-MS)was performed and orthogonal partial least squares discriminant analysis(OPLS-DA)was used to screen the differential metabolites and related metabolic pathways.Results A total of 415 differential metabolites were screened out in metabonomics in blood of mice after high-voltage electric shock,including 187 up-regulated and 228 down-regulated metabolites.These differentially metabolites were significantly enriched in metabolic pathways including central carbon metabolism in cancer,glucagon signaling pathway,etc.Conclusion By establishing the model of high-voltage electrical injury on experimental mice,this study reveals the significant change of metabolite content and metabolic pathway in blood by high-voltage electrical injury.Which provides a basis for the damage of blood metabolic activity by high-voltage electrical injury,and suggests the potential harm of high-voltage electrical injury to blood metabolic activity in the whole body.
7.Hepatic lipidomics study in chronic cadmium-exposed mice
Rong-Rong HAO ; Ling LI ; Li TIAN ; Jia XIE ; Meng-Yan CHEN ; Zheng-Ping YU ; Hui-Feng PI
Journal of Regional Anatomy and Operative Surgery 2024;33(3):194-200
Objective To study the change of lipidomics in chronic cadmium-exposed mice,thereby screening out lipid subclasses,lipid molecules and enriched metabolic pathways with significant differences.Methods Twelve SPF male C57BL/6J mice(8 weeks old)were randomly divided into the control group(normal water feeding)and the experimental group[cadmium water(0.6 mg/L of CdCl2)feeding],with 6 mice in each group.Mice were sacrificed after 6 months of cadmium exposure,and fresh liver tissues were collected immediately.Lipid oil red O staining and lipidomics analysis were performed on liver tissue.Results Compared with the control group,the liver tissue of mice in the experimental group did not appear red after lipid oil red O staining.Seventeen lipid subclasses with significant differences and 144 lipid molecules with significant differences were screened out by lipidomics.These lipid molecules with significant differences were enriched in glycerophospholipid metabolism,linoleic acid metabolism,alpha-linolenic acid metabolism,glycosylphosphati-dylinositol biosynthesis,glycerolipid metabolism and arachidonic acid metabolism by KEGG.Conclusion This study reveals that chronic cadmium exposure can induce the disorder of lipid subclasses and lipid metabolites in the liver of mice,which provides a basis for understanding the non-alcoholic fatty liver disease caused by chronic cadmium exposure.
8.Kaixinsan alleviates adriamycin-induced depression-like behaviors in mice by reducing ferroptosis in the prefrontal cortex
Mingzi OUYANG ; Jiaqi CUI ; Hui WANG ; Zheng LIANG ; Dajin PI ; Liguo CHEN ; Qianjun CHEN ; Yingchao WU
Journal of Southern Medical University 2024;44(8):1441-1449
Objective To investigate the effect of Kaixinsan(KXS,a traditional Chinese medicine formula)for alleviating adriamycin-induced depression-like behaviors in mice bearing breast cancer xenografts and explore the pharmacological mechanism.Methods Forty female BALB/c mice were randomized equally into control group,model group,and low-and high-dose KXS treatment groups,and in the latter 3 groups,mouse models bearing orthotopic breast cancer 4T1 cell xenografts were established and treated with adriamycin along with saline or KXS via gavage.Depression-like behaviors of the mice were assessed using open field test and elevated plus-maze test,and the changes in serum levels of depression-related factors were examined.RNA-seq analysis and transmission electron microscopy were used and ferroptosis-related factors were detected to explore the mechanisms of adriamycin-induced depression and the therapeutic mechanism of KXS.The results were verified in SH-SY5Y cells using ferroptosis inhibitor Fer-1 as the positive control.Results KXS significantly alleviated depression-like behaviors and depression-related serological changes induced by adriamycin in the mouse models.RNA-seq results suggested that KXS alleviated chemotherapy-induced depression by regulating oxidative stress,lipid metabolism and iron ion binding in the prefrontal cortex.Pathological analysis and detection of ferroptosis-related factors showed that KXS significantly reduced ferroptosis in the prefrontal cortex of adriamycin-treated mice.In SH-SY5Y cells,both KXS-medicated serum and the ferroptosis inhibitor were capable of attenuating adriamycin-induced cell ferroptosis.Conclusion KXS alleviates adriamycin-induced depression-like behaviors in mice by reducing ferroptosis in the prefrontal cortex of breast cancer-bearing mice.
9.Preparation of traditional Chinese medicine metal complexes supramolecular hydrogel and its multiple biological activity evaluation
Lin-ying WU ; Wen-min PI ; Xiao-yu LIN ; Yao-zhi ZHANG ; Ji-hui LU ; Xue-mei HUANG ; Peng-long WANG
Acta Pharmaceutica Sinica 2024;59(5):1306-1312
The effect of different concentrations of glycyrrhizic acid (GA) and Zn2+ on the self-assembly of metal complexes was investigated by forming metal complexes, and the properties and assembly mechanisms of the formed carrier-free supramolecular hydrogel were characterised. Scanning electron microscopy (SEM) and zeta potential were used to characterise the microscopic morphology and stability of the GA-Zn complex hydrogel, which had spherical-like particles of about 1 μm with good stability; the rheometer was used to detect its materialistic properties, which showed excellent stability, self-healing property and reversibility; through
10.Effect of swimming exercise on lipid metabolism in NAFLD mice based on lipidomics
Yan LUO ; Ping DENG ; Meng-Yan CHEN ; Jia XIE ; Li TIAN ; Hui-Feng PI
Journal of Regional Anatomy and Operative Surgery 2024;33(12):1027-1033
Objective To investigate the regulatory effect of swimming exercise(SE)on lipid metabolism in nonalcoholic fatty liver disease(NAFLD)mice.Methods A total of 27 C57BL/6J mice were divided into the control group(normal diet),high fat diet(HFD)group and HFD+SE group,with 9 mice in each group.Twelve weeks later,liver tissues were collected for untargeted lipidomics detection by LC-MS.Dimensional statistical analysis of lipidomics profiles was carried out by constructing OPLS-DA model,and combined with the t-test,the lipids with OPLS-DA VIP>1,P<0.05 were screened out from all samples as significantly different lipids.Results There were 81 different lipids between HFD group and the control group;and there were 27 different lipids between HFD+SE group and HFD group.The different lipids mainly belong to glycerides,glycerophospholipids and sphingomyelins.Conclusion Lipid metabolism profile of NAFLD mice has been changed,and swimming exercise can improve lipid metabolism of NAFLD mice.


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