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.Asia-Pacific consensus on long-term and sequential therapy for osteoporosis
Ta-Wei TAI ; Hsuan-Yu CHEN ; Chien-An SHIH ; Chun-Feng HUANG ; Eugene MCCLOSKEY ; Joon-Kiong LEE ; Swan Sim YEAP ; Ching-Lung CHEUNG ; Natthinee CHARATCHAROENWITTHAYA ; Unnop JAISAMRARN ; Vilai KUPTNIRATSAIKUL ; Rong-Sen YANG ; Sung-Yen LIN ; Akira TAGUCHI ; Satoshi MORI ; Julie LI-YU ; Seng Bin ANG ; Ding-Cheng CHAN ; Wai Sin CHAN ; Hou NG ; Jung-Fu CHEN ; Shih-Te TU ; Hai-Hua CHUANG ; Yin-Fan CHANG ; Fang-Ping CHEN ; Keh-Sung TSAI ; Peter R. EBELING ; Fernando MARIN ; Francisco Javier Nistal RODRÍGUEZ ; Huipeng SHI ; Kyu Ri HWANG ; Kwang-Kyoun KIM ; Yoon-Sok CHUNG ; Ian R. REID ; Manju CHANDRAN ; Serge FERRARI ; E Michael LEWIECKI ; Fen Lee HEW ; Lan T. HO-PHAM ; Tuan Van NGUYEN ; Van Hy NGUYEN ; Sarath LEKAMWASAM ; Dipendra PANDEY ; Sanjay BHADADA ; Chung-Hwan CHEN ; Jawl-Shan HWANG ; Chih-Hsing WU
Osteoporosis and Sarcopenia 2024;10(1):3-10
Objectives:
This study aimed to present the Asia-Pacific consensus on long-term and sequential therapy for osteoporosis, offering evidence-based recommendations for the effective management of this chronic condition.The primary focus is on achieving optimal fracture prevention through a comprehensive, individualized approach.
Methods:
A panel of experts convened to develop consensus statements by synthesizing the current literature and leveraging clinical expertise. The review encompassed long-term anti-osteoporosis medication goals, first-line treatments for individuals at very high fracture risk, and the strategic integration of anabolic and anti resorptive agents in sequential therapy approaches.
Results:
The panelists reached a consensus on 12 statements. Key recommendations included advocating for anabolic agents as the first-line treatment for individuals at very high fracture risk and transitioning to anti resorptive agents following the completion of anabolic therapy. Anabolic therapy remains an option for in dividuals experiencing new fractures or persistent high fracture risk despite antiresorptive treatment. In cases of inadequate response, the consensus recommended considering a switch to more potent medications. The consensus also addressed the management of medication-related complications, proposing alternatives instead of discontinuation of treatment.
Conclusions
This consensus provides a comprehensive, cost-effective strategy for fracture prevention with an emphasis on shared decision-making and the incorporation of country-specific case management systems, such as fracture liaison services. It serves as a valuable guide for healthcare professionals in the Asia-Pacific region, contributing to the ongoing evolution of osteoporosis management.
5.Fear of Covid-19 and Burnout Among Healthcare Providers in Malaysia: Is Resilience a Missing Link?
Siew-Mooi Ching ; Ramayah Thurasamy ; Ai Theng Cheong ; Anne Yee ; Poh Ying Ling ; Irmi Ismail Zarina ; Kai Wei Lee ; Jun Ying Ng ; Rofina Abdul Rahim ; Mohd Khairi Mohd Noor ; Chang Li Cheng ; Ahmad Iqmer Nashriq Mohd Nazan ; Hafizah Md Salleh ; Noor Hasliza Hassan
Malaysian Journal of Medicine and Health Sciences 2023;19(No.4):265-272
Introduction: During the COVID-19 pandemic, healthcare providers have been in great fear due to the high risk of
contracting COVID-19 infection at any time. This study aimed to determine the mediating role of resilience on the
relationship between fear of COVID-19 and burnout in primary care healthcare providers in Malaysia. Methods: This
was an online cross-sectional study involving 1280 healthcare providers aged 18 years and older from 30 government primary care clinics in Malaysia. We used the COVID-19 Fear Scale, the Copenhagen Burnout Inventory Scale,
and the Short Brief Resilience Scale to collect data from the respondents. Smart-PLS was used to perform mediation
analysis. Results: The mean age of the respondents was 36 years old and mean duration of working experience was
11 years. The majority of the respondents were female (82.4%) and Malays (82.3%). The study population consisted of nurses (47.4%), doctors (26%), medical assistants (11.9), healthcare assistant (7.1%), medical laboratory
technicians (6.4%) and drivers(1.3).The results show that fear of COVID-19 positively predicts burnout. According
to the results, resilience mediates the relationship between fear of COVID-19 and all the three burnout domains,
namely personal burnout (β=0.175,p<0.001), work-related burnout (β=0.175,p<0.001) and client-related burnout
(β=0.172,p<0.001). Additionally, resilience reduces the impact of COVID-19 fear on the three domains of burnout.
Conclusion: Our study has reported a mediating effect of resilience on the relationship between fear of COVID-19
and burnout.
6.Eating self-regulatory skill, diet quantity, and diet quality of Malaysian healthcare university students: A cross-sectional study
Ching Li Lee ; Jamilah Abd Jamil ; Jia Tian Chang ; Kar Xsin Yap ; Hsin Yuen Yap ; Wei Jin Khoo
Malaysian Journal of Nutrition 2023;29(No.1):27-37
Introduction: The ability to self-regulate eating can improve health. This study
aimed to determine the relationship between eating self-regulatory skills, diet
quantity, and diet quality among Malaysian university students. Methods: This
cross-sectional study involved 132 university students. Eating self-regulatory skill
was assessed using the Self-Regulation of Eating Behaviour Questionnaire (SREBQ).
Dietary intakes from two 24-hour dietary recalls were used to assess diet quantity
and quality. Diet quantity was measured as energy and macronutrient intakes,
analysed using NutritionistPro. Diet quality was measured using the Malaysian
Healthy Eating Index (M-HEI). The relationship between eating self-regulatory
skills, diet quantity, and diet quality were evaluated using tests for differences
between means and multiple linear regression. Results: Male participants (n=47)
consumed more energy than female participants (n=85) (Male: 1850±570 kcal/day,
Female: 1596±567 kcal/day, p=0.015). Participants from the Nutrition and Dietetics
(N&D) course (n=49) had better M-HEI scores than participants from other health
courses (n=83) (N&D course: 52.7±10.5, non-N&D course: 47.2±10.7, p=0.005). The
predictors of energy intake were gender (β=-0.193, p=0.023) and SREBQ score (β=-
0.223, p=0.009). Being female and having higher eating self-regulatory skills were
associated with lower energy intake. The predictors of diet quality were university
course (β=0.240, p=0.005) and SREBQ score (β=0.181, p=0.033). Studying N&D
and having higher eating self-regulatory skills were associated with higher M-HEI
scores. Conclusion: Higher self-regulation of eating behaviour score is a factor that
contributes to lower daily energy intake and higher diet quality score.
7.The host-targeting compound peruvoside has a broad-spectrum antiviral activity against positive-sense RNA viruses.
Kan Xing WU ; Thinesshwary YOGARAJAH ; Marcus Wing Choy LOE ; Parveen KAUR ; Regina Ching Hua LEE ; Chee Keng MOK ; Yi Hao WONG ; Patchara PHUEKTES ; Li Sze YEO ; Vincent T K CHOW ; Yong Wah TAN ; Justin Jang Hann CHU
Acta Pharmaceutica Sinica B 2023;13(5):2039-2055
Positive-sense RNA viruses modify intracellular calcium stores, endoplasmic reticulum and Golgi apparatus (Golgi) to generate membranous replication organelles known as viral factories. Viral factories provide a conducive and substantial enclave for essential virus replication via concentrating necessary cellular factors and viral proteins in proximity. Here, we identified the vital role of a broad-spectrum antiviral, peruvoside in limiting the formation of viral factories. Mechanistically, we revealed the pleiotropic cellular effect of Src and PLC kinase signaling via cyclin-dependent kinase 1 signaling leads to Golgi-specific brefeldin A-resistance guanine nucleotide exchange factor 1 (GBF1) phosphorylation and Golgi vesiculation by peruvoside treatment. The ramification of GBF1 phosphorylation fosters GBF1 deprivation consequentially activating downstream antiviral signaling by dampening viral factories formation. Further investigation showed signaling of ERK1/2 pathway via cyclin-dependent kinase 1 activation leading to GBF1 phosphorylation at Threonine 1337 (T1337). We also showed 100% of protection in peruvoside-treated mouse model with a significant reduction in viral titre and without measurable cytotoxicity in serum. These findings highlight the importance of dissecting the broad-spectrum antiviral therapeutics mechanism and pave the way for consideration of peruvoside, host-directed antivirals for positive-sense RNA virus-mediated disease, in the interim where no vaccine is available.
8.Cerebral Venous Reflux and Dilated Basal Ganglia Perivascular Space in Hypertensive Intracerebral Hemorrhage
Hsin-Hsi TSAI ; Bo-Ching LEE ; Ya-Fang CHEN ; Jiann-Shing JENG ; Li-Kai TSAI
Journal of Stroke 2022;24(3):363-371
Background:
and Purpose Cerebral venous flow alterations potentially contribute to age-related white matter changes, but their role in small vessel disease has not been investigated.
Methods:
This study included 297 patients with hypertensive intracerebral hemorrhages (ICH) who underwent magnetic resonance imaging. Cerebral venous reflux (CVR) was defined as the presence of abnormal signal intensity in the dural venous sinuses or internal jugular vein on time-of-flight angiography. We investigated the association between CVR, dilated perivascular spaces (PVS), and recurrent stroke risk.
Results:
CVR was observed in 38 (12.8%) patients. Compared to patients without CVR those with CVR were more likely to have high grade (>20 in the number) dilated PVS in the basal ganglia (60.5% vs. 35.1%; adjusted odds ratio [aOR], 2.64; 95% confidence interval [CI], 1.25 to 5.60; P=0.011) and large PVS (>3 mm in diameter) (50.0% vs. 18.5%; aOR, 3.87; 95% CI, 1.85 to 8.09; P<0.001). During a median follow-up of 18 months, patients with CVR had a higher recurrent stroke rate (13.6%/year vs. 6.2%/year; aOR, 2.53; 95% CI, 1.09 to 5.84; P=0.03) than those without CVR.
Conclusions
CVR may contribute to the formation of enlarged PVS and increase the risk of recurrent stroke in patients with hypertensive ICH.
9.A structured lifestyle intervention combined with mobile health application to reduce chronic disease risk among employees at a university workplace
Ching Li Lee ; Harvinder Kaur ; Gilcharan Singh ; Winnie Siew Swee Chee
International e-Journal of Science, Medicine and Education 2022;16(1):3-15
Introduction:
This pilot study assessed the impact
of a structured lifestyle intervention combined with
mobile health application on chronic disease risk in a
healthcare-based university.
Methods:
A total of 24 overweight/obese university
employees participated in a 12-week intervention that
included group nutrition education and exercise sessions,
a structured low-calorie meal plan, meal replacements,
and a mobile health application.
Results:
A pre- and post-intervention analysis showed
that the participants had weight loss (p < 0.001), a
reduction in blood triglyceride (p = 0.010), and a
reduction in systolic blood pressure (p < 0.001). There
was an increase in the proportion of participants who
achieved their clinical targets for systolic blood pressure
from 16.7% at baseline to 58.3% after the intervention
(p = 0.004). A focus group discussion demonstrated
good acceptability of the intervention that was driven
by the use of practical nutrition knowledge gained from
the group education sessions and structured meal plans,
and timely feedback on eating behaviour from use of the
mobile heath application
Conclusion
A structured lifestyle intervention
combined with mobile health application supports
significant clinical improvements including weight loss
and reductions in blood triglyceride and blood pressure.
Chronic Disease
;
Telemedicine
;
Obesity
10.EPOSTER • DRUG DISCOVERY AND DEVELOPMENT
Marwan Ibrahim ; Olivier D LaFlamme ; Turgay Akay ; Julia Barczuk ; Wioletta Rozpedek-Kaminska ; Grzegorz Galita ; Natalia Siwecka ; Ireneusz Majsterek ; Sharmni Vishnu K. ; Thin Thin Wi ; Saint Nway Aye ; Arun Kumar ; Grace Devadason ; Fatin Aqilah Binti Ishak ; Goh Jia Shen ; Dhaniya A/P Subramaniam ; Hiew Ke Wei ; Hong Yan Ren ; Sivalingam Nalliah ; Nikitha Lalindri Mareena Senaratne ; Chong Chun Wie ; Divya Gopinath ; Pang Yi Xuan ; Mohamed Ismath Fathima Fahumida ; Muhammad Imran Bin Al Nazir Hussain ; Nethmi Thathsarani Jayathilake ; Sujata Khobragade ; Htoo Htoo Kyaw Soe ; Soe Moe ; Mila Nu Nu Htay ; Rosamund Koo ; Tan Wai Yee ; Wong Zi Qin ; Lau Kai Yee ; Ali Haider Mohammed ; Ali Blebil ; Juman Dujaili ; Alicia Yu Tian Tan ; Cheryl Yan Yen Ng ; Ching Xin Ni ; Michelle Ng Yeen Tan ; Kokila A/P Thiagarajah ; Justin Jing Cherg Chong ; Yong Khai Pang ; Pei Wern Hue ; Raksaini Sivasubramaniam ; Fathimath Hadhima ; Jun Jean Ong ; Matthew Joseph Manavalan ; Reyna Rehan ; Tularama Naidu ; Hansi Amarasinghe ; Minosh Kumar ; Sdney Jia Eer Tew ; Yee Sin Chong ; Yi Ting Sim ; Qi Xuan Ng ; Wei Jin Wong ; Shaun Wen Huey Lee ; Ronald Fook Seng Lee ; Wei Ni Tay ; Yi Tan ; Wai Yew Yang ; Shu Hwa Ong ; Yee Siew Lim ; Siddique Abu Nowajish ; Zobaidul Amin ; Umajeyam Anbarasan ; Lim Kean Ghee ; John Pinto ; Quek Jia Hui ; Ching Xiu Wei ; Dominic Lim Tao Ran ; Philip George ; Chandramani Thuraisingham ; Tan Kok Joon ; Wong Zhi Hang ; Freya Tang Sin Wei ; Ho Ket Li ; Shu Shuen Yee ; Goon Month Lim ; Wen Tien Tan ; Sin Wei Tang
International e-Journal of Science, Medicine and Education 2022;16(Suppl1):21-37


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