1.Clinical practice guidelines and real-life practice in hepatocellular carcinoma: A Taiwan perspective
Tung-Hung SU ; Chih-Horng WU ; Tsung-Hao LIU ; Cheng-Maw HO ; Chun-Jen LIU
Clinical and Molecular Hepatology 2023;29(2):230-241
Hepatocellular carcinoma (HCC) is the fourth most common cancer and the second leading cause of cancer-related death in Taiwan. The Taiwan Liver Cancer Association and the Gastroenterological Society of Taiwan developed and updated the guidelines for HCC management in 2020. In clinical practice, we follow these guidelines and the reimbursement policy of the government. In Taiwan, abdominal ultrasonography, alpha-fetoprotein, and protein induced by vitamin K absence or antagonist-II (PIVKA-II) tests are performed for HCC surveillance every 6 months or every 3 months for high-risk patients. Dynamic computed tomography, magnetic resonance imaging, and contrast-enhanced ultrasound have been recommended for HCC surveillance in extremely high-risk patients or those with poor ultrasonographic visualization results. HCC is usually diagnosed through dynamic imaging, and pathological diagnosis is recommended. Staging of HCC is based on a modified version of the Barcelona Clinic Liver Cancer (BCLC) system, and the HCC management guidelines in Taiwan actively promote curative treatments including surgery and locoregional therapy for BCLC stage B or C patients. Transarterial chemoembolization (TACE), drug-eluting bead TACE, transarterial radioembolization, and hepatic artery infusion chemotherapy may be administered for patients with BCLC stage B or C HCC. Sorafenib and lenvatinib are reimbursed as systemic therapies, and regorafenib and ramucirumab may be reimbursed in cases of sorafenib failure. First-line atezolizumab with bevacizumab is not yet reimbursed but may be administered in clinical practice. Systemic therapy and external beam radiation therapy may be used in specific patients. Early switching to systemic therapy in TACE-refractory patients is a recent paradigm shift in HCC management.
2.Association Between Exposure to Particulate Matter and the Incidence of Parkinson’s Disease: A Nationwide Cohort Study in Taiwan
Ting-Bin CHEN ; Chih-Sung LIANG ; Ching-Mao CHANG ; Cheng-Chia YANG ; Hwa-Lung YU ; Yuh-Shen WU ; Winn-Jung HUANG ; I-Ju TSAI ; Yuan-Horng YAN ; Cheng-Yu WEI ; Chun-Pai YANG
Journal of Movement Disorders 2024;17(3):313-321
Objective:
Emerging evidence suggests that air pollution exposure may increase the risk of Parkinson’s disease (PD). We aimed to investigate the association between exposure to fine particulate matter (PM2.5) and the risk of incident PD nationwide.
Methods:
We utilized data from the Taiwan National Health Insurance Research Database, which is spatiotemporally linked with air quality data from the Taiwan Environmental Protection Administration website. The study population consisted of participants who were followed from the index date (January 1, 2005) until the occurrence of PD or the end of the study period (December 31, 2017). Participants who were diagnosed with PD before the index date were excluded. To evaluate the association between exposure to PM2.5 and incident PD risk, we employed Cox regression to estimate the hazard ratio and 95% confidence interval (CI).
Results:
A total of 454,583 participants were included, with a mean (standard deviation) age of 63.1 (9.9) years and a male proportion of 50%. Over a mean follow-up period of 11.1 (3.6) years, 4% of the participants (n = 18,862) developed PD. We observed a significant positive association between PM2.5 exposure and the risk of PD, with a hazard ratio of 1.22 (95% CI, 1.20–1.23) per interquartile range increase in exposure (10.17 μg/m3) when adjusting for both SO2 and NO2.
Conclusion
We provide further evidence of an association between PM2.5 exposure and the risk of PD. These findings underscore the urgent need for public health policies aimed at reducing ambient air pollution and its potential impact on PD.
3.Sofosbuvir/velpatasvir plus ribavirin for Child-Pugh B and Child-Pugh C hepatitis C virus-related cirrhosis
Chen-Hua LIU ; Chi-Yi CHEN ; Wei-Wen SU ; Chun-Jen LIU ; Ching-Chu LO ; Ke-Jhang HUANG ; Jyh-Jou CHEN ; Kuo-Chih TSENG ; Chi-Yang CHANG ; Cheng-Yuan PENG ; Yu-Lueng SHIH ; Chia-Sheng HUANG ; Wei-Yu KAO ; Sheng-Shun YANG ; Ming-Chang TSAI ; Jo-Hsuan WU ; Po-Yueh CHEN ; Pei-Yuan SU ; Jow-Jyh HWANG ; Yu-Jen FANG ; Pei-Lun LEE ; Chi-Wei TSENG ; Fu-Jen LEE ; Hsueh-Chou LAI ; Tsai-Yuan HSIEH ; Chun-Chao CHANG ; Chung-Hsin CHANG ; Yi-Jie HUANG ; Jia-Horng KAO
Clinical and Molecular Hepatology 2021;27(4):575-588
Background/Aims:
Real-world studies assessing the effectiveness and safety of sofosbuvir/velpatasvir (SOF/VEL) plus ribavirin (RBV) for Child-Pugh B/C hepatitis C virus (HCV)-related cirrhosis are limited.
Methods:
We included 107 patients with Child-Pugh B/C HCV-related cirrhosis receiving SOF/VEL plus RBV for 12 weeks in Taiwan. The sustained virologic response rates at off-treatment week 12 (SVR12) for the evaluable population (EP), modified EP, and per-protocol population (PP) were assessed. Thesafety profiles were reported.
Results:
The SVR12 rates in the EP, modified EP and PP were 89.7% (95% confidence interval [CI], 82.5–94.2%), 94.1% (95% CI, 87.8–97.3%), and 100% (95% CI, 96.2–100%). Number of patients who failed to achieve SVR12 were attributed to virologic failures. The SVR12 rates were comparable regardless of patient characteristics. One patient discontinued treatment because of adverse events (AEs). Twenty-four patients had serious AEs and six died, but none were related to SOF/VEL or RBV. Among the 96 patients achieving SVR12, 84.4% and 64.6% had improved Child-Pugh and model for endstage liver disease (MELD) scores. Multivariate analysis revealed that a baseline MELD score ≥15 was associated with an improved MELD score of ≥3 (odds ratio, 4.13; 95% CI, 1.16–14.71; P=0.02). Patients with chronic kidney disease (CKD) stage 1 had more significant estimated glomerular filtration rate declines than patients with CKD stage 2 (-0.42 mL/min/1.73 m2/month; P=0.01) or stage 3 (-0.56 mL/min/1.73 m2/month; P<0.001).
Conclusions
SOF/VEL plus RBV for 12 weeks is efficacious and well-tolerated for Child-Pugh B/C HCV-related cirrhosis.
4.Sofosbuvir/velpatasvir plus ribavirin for Child-Pugh B and Child-Pugh C hepatitis C virus-related cirrhosis
Chen-Hua LIU ; Chi-Yi CHEN ; Wei-Wen SU ; Chun-Jen LIU ; Ching-Chu LO ; Ke-Jhang HUANG ; Jyh-Jou CHEN ; Kuo-Chih TSENG ; Chi-Yang CHANG ; Cheng-Yuan PENG ; Yu-Lueng SHIH ; Chia-Sheng HUANG ; Wei-Yu KAO ; Sheng-Shun YANG ; Ming-Chang TSAI ; Jo-Hsuan WU ; Po-Yueh CHEN ; Pei-Yuan SU ; Jow-Jyh HWANG ; Yu-Jen FANG ; Pei-Lun LEE ; Chi-Wei TSENG ; Fu-Jen LEE ; Hsueh-Chou LAI ; Tsai-Yuan HSIEH ; Chun-Chao CHANG ; Chung-Hsin CHANG ; Yi-Jie HUANG ; Jia-Horng KAO
Clinical and Molecular Hepatology 2021;27(4):575-588
Background/Aims:
Real-world studies assessing the effectiveness and safety of sofosbuvir/velpatasvir (SOF/VEL) plus ribavirin (RBV) for Child-Pugh B/C hepatitis C virus (HCV)-related cirrhosis are limited.
Methods:
We included 107 patients with Child-Pugh B/C HCV-related cirrhosis receiving SOF/VEL plus RBV for 12 weeks in Taiwan. The sustained virologic response rates at off-treatment week 12 (SVR12) for the evaluable population (EP), modified EP, and per-protocol population (PP) were assessed. Thesafety profiles were reported.
Results:
The SVR12 rates in the EP, modified EP and PP were 89.7% (95% confidence interval [CI], 82.5–94.2%), 94.1% (95% CI, 87.8–97.3%), and 100% (95% CI, 96.2–100%). Number of patients who failed to achieve SVR12 were attributed to virologic failures. The SVR12 rates were comparable regardless of patient characteristics. One patient discontinued treatment because of adverse events (AEs). Twenty-four patients had serious AEs and six died, but none were related to SOF/VEL or RBV. Among the 96 patients achieving SVR12, 84.4% and 64.6% had improved Child-Pugh and model for endstage liver disease (MELD) scores. Multivariate analysis revealed that a baseline MELD score ≥15 was associated with an improved MELD score of ≥3 (odds ratio, 4.13; 95% CI, 1.16–14.71; P=0.02). Patients with chronic kidney disease (CKD) stage 1 had more significant estimated glomerular filtration rate declines than patients with CKD stage 2 (-0.42 mL/min/1.73 m2/month; P=0.01) or stage 3 (-0.56 mL/min/1.73 m2/month; P<0.001).
Conclusions
SOF/VEL plus RBV for 12 weeks is efficacious and well-tolerated for Child-Pugh B/C HCV-related cirrhosis.
5.Taiwan Association for the Study of the Liver-Taiwan Society of Cardiology Taiwan position statement for the management of metabolic dysfunction- associated fatty liver disease and cardiovascular diseases
Pin-Nan CHENG ; Wen-Jone CHEN ; Charles Jia-Yin HOU ; Chih-Lin LIN ; Ming-Ling CHANG ; Chia-Chi WANG ; Wei-Ting CHANG ; Chao-Yung WANG ; Chun-Yen LIN ; Chung-Lieh HUNG ; Cheng-Yuan PENG ; Ming-Lung YU ; Ting-Hsing CHAO ; Jee-Fu HUANG ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Chern-En CHIANG ; Han-Chieh LIN ; Yi-Heng LI ; Tsung-Hsien LIN ; Jia-Horng KAO ; Tzung-Dau WANG ; Ping-Yen LIU ; Yen-Wen WU ; Chun-Jen LIU
Clinical and Molecular Hepatology 2024;30(1):16-36
Metabolic dysfunction-associated fatty liver disease (MAFLD) is an increasingly common liver disease worldwide. MAFLD is diagnosed based on the presence of steatosis on images, histological findings, or serum marker levels as well as the presence of at least one of the three metabolic features: overweight/obesity, type 2 diabetes mellitus, and metabolic risk factors. MAFLD is not only a liver disease but also a factor contributing to or related to cardiovascular diseases (CVD), which is the major etiology responsible for morbidity and mortality in patients with MAFLD. Hence, understanding the association between MAFLD and CVD, surveillance and risk stratification of MAFLD in patients with CVD, and assessment of the current status of MAFLD management are urgent requirements for both hepatologists and cardiologists. This Taiwan position statement reviews the literature and provides suggestions regarding the epidemiology, etiology, risk factors, risk stratification, nonpharmacological interventions, and potential drug treatments of MAFLD, focusing on its association with CVD.
6.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.