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.Update on the treatment navigation for functional cure of chronic hepatitis B: Expert consensus 2.0
Di WU ; Jia-Horng KAO ; Teerha PIRATVISUTH ; Xiaojing WANG ; Patrick T.F. KENNEDY ; Motoyuki OTSUKA ; Sang Hoon AHN ; Yasuhito TANAKA ; Guiqiang WANG ; Zhenghong YUAN ; Wenhui LI ; Young-Suk LIM ; Junqi NIU ; Fengmin LU ; Wenhong ZHANG ; Zhiliang GAO ; Apichat KAEWDECH ; Meifang HAN ; Weiming YAN ; Hong REN ; Peng HU ; Sainan SHU ; Paul Yien KWO ; Fu-sheng WANG ; Man-Fung YUEN ; Qin NING
Clinical and Molecular Hepatology 2025;31(Suppl):S134-S164
As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.
3.Update on the treatment navigation for functional cure of chronic hepatitis B: Expert consensus 2.0
Di WU ; Jia-Horng KAO ; Teerha PIRATVISUTH ; Xiaojing WANG ; Patrick T.F. KENNEDY ; Motoyuki OTSUKA ; Sang Hoon AHN ; Yasuhito TANAKA ; Guiqiang WANG ; Zhenghong YUAN ; Wenhui LI ; Young-Suk LIM ; Junqi NIU ; Fengmin LU ; Wenhong ZHANG ; Zhiliang GAO ; Apichat KAEWDECH ; Meifang HAN ; Weiming YAN ; Hong REN ; Peng HU ; Sainan SHU ; Paul Yien KWO ; Fu-sheng WANG ; Man-Fung YUEN ; Qin NING
Clinical and Molecular Hepatology 2025;31(Suppl):S134-S164
As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.
4.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.
5.Update on the treatment navigation for functional cure of chronic hepatitis B: Expert consensus 2.0
Di WU ; Jia-Horng KAO ; Teerha PIRATVISUTH ; Xiaojing WANG ; Patrick T.F. KENNEDY ; Motoyuki OTSUKA ; Sang Hoon AHN ; Yasuhito TANAKA ; Guiqiang WANG ; Zhenghong YUAN ; Wenhui LI ; Young-Suk LIM ; Junqi NIU ; Fengmin LU ; Wenhong ZHANG ; Zhiliang GAO ; Apichat KAEWDECH ; Meifang HAN ; Weiming YAN ; Hong REN ; Peng HU ; Sainan SHU ; Paul Yien KWO ; Fu-sheng WANG ; Man-Fung YUEN ; Qin NING
Clinical and Molecular Hepatology 2025;31(Suppl):S134-S164
As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.
6.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.
7.Two new dalbergiphenols from Zhuang medicine Dalbergia rimosa Roxb
Cheng-sheng LU ; Wei-yu WANG ; Min ZHU ; Si-si QIN ; Zhao-hui LI ; Chen-yan LIANG ; Xu FENG ; Jian-hua WEI
Acta Pharmaceutica Sinica 2024;59(2):418-423
Twelve compounds were isolated from the ethyl acetate fraction of the 80% aqueous ethanol extract of the roots and stems of
8.Advances in biomarkers for diagnosing congenital heart disease
Yuquan LU ; Guixiang TIAN ; Wei SHENG
International Journal of Pediatrics 2024;51(2):73-76
Congenital heart disease(CHD)is a common congenital anomaly that is the leading cause of death among children under the age of five years with birth defects in both developed and developing countries. With the increasing prevalence of CHD,the importance of early diagnosis and intervention of CHD is well accepted. Prenatal ultrasonography is routinely applied for the screening of CHD but many factors influence its diagnostic accuracy. Biomarker testing is a simple and rapid method that can be used as an adjunct to prenatal screening for CHD. This review aims to provide new ideas for the early diagnosis of children with CHD by exploring the pathogenesis of biomarkers in CHD. In recent years,many studies have been devoted to the exploration of biomarkers related to CHD,and the studies on biomarkers in CHD are summarized from three aspects:epigenetics,proteomics and environmental factors.
9.Efficacy Evaluation and Mechanism Research of Qi-Shen-Yi-Zhi Formula in Improving the Learning and Memory Ability of Aβ1-42 Hippocampus Injection Mice
Ziqiang ZHU ; Yunqing LU ; Jiani ZHENG ; Cheng CAO ; Yang CHEN ; Jiaxiang TONG ; Xuan LI ; Sheng GUO ; Jin'ao DUAN ; Yue ZHU
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(1):40-47
Objective Evaluation of the effect and mechanism research of Qi-Shen-Yi-Zhi formula on improving learning and memory ability in mice injected with Aβ1-42 in hippocampus.Methods Alzheimer's disease model mice were constructed by injecting β amyloid peptide 1-42 into hippocampus and treated with water extracts of Qi-Shen-Yi-Zhi formula.The cognitive abilities of mice were assessed using Morris water maze and Y maze tests,which measure learning and memory capabilities.HE staining was used to observe the damage and TUNEL method was used to determine apoptosis of hippocampus.Detection of the expression of oxidative factors,inflammatory factors,and related antioxidant proteins and apoptotic proteins in the hippocampal tissue of a mouse model of dementia.Results Both high-dose and low-dose groups of Qi-Shen-Yi-Zhi formula significantly improved cognitive dysfunction in mice injected with Aβ1-42 in hippocampus,and attenuated the damage and apoptosis of the hippocampus.It also inhibited oxidative stress and downregulated the expressions of inflammatory factors IL-6,IL-1β and TNF-a,increased the expression of antioxidant proteins Nrf2 and HO-1,and regulated the expressions of apoptotic proteins Caspase-9,Caspase-3,Bax and Bcl-2.Conclusion Qi-Shen-Yi-Zhi formula improves the learning and memory abilities of mice injected with Aβ1-42 in hippocampus,which might be related to the attenuation of oxidative stress and neuronal inflammation of hippocampus.
10.Specific DNA barcodes screening, germplasm resource identification, and genetic diversity analysis of Platycodon grandiflorum
Xin WANG ; Yue SHI ; Jin-hui MAN ; Yu-ying HUANG ; Xiao-qin ZHANG ; Ke-lu AN ; Gao-jie HE ; Zi-qi LIU ; Fan-yuan GUAN ; Yu-yan ZHENG ; Xiao-hui WANG ; Sheng-li WEI
Acta Pharmaceutica Sinica 2024;59(1):243-252
Platycodonis Radix is the dry root of

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