1.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.
2.Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy
Pei-Chien TSAI ; Chung-Feng HUANG ; Ming-Lun YEH ; Meng-Hsuan HSIEH ; Hsing-Tao KUO ; Chao-Hung HUNG ; Kuo-Chih TSENG ; Hsueh-Chou LAI ; Cheng-Yuan PENG ; Jing-Houng WANG ; Jyh-Jou CHEN ; Pei-Lun LEE ; Rong-Nan CHIEN ; Chi-Chieh YANG ; Gin-Ho LO ; Jia-Horng KAO ; Chun-Jen LIU ; Chen-Hua LIU ; Sheng-Lei YAN ; Chun-Yen LIN ; Wei-Wen SU ; Cheng-Hsin CHU ; Chih-Jen CHEN ; Shui-Yi TUNG ; Chi‐Ming TAI ; Chih-Wen LIN ; Ching-Chu LO ; Pin-Nan CHENG ; Yen-Cheng CHIU ; Chia-Chi WANG ; Jin-Shiung CHENG ; Wei-Lun TSAI ; Han-Chieh LIN ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUNG ; Ming-Jong BAIR ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(3):468-486
Background/Aims:
Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients.
Methods:
We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development.
Results:
Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients.
Conclusions
Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.
3.Unlocking the future: Machine learning sheds light on prognostication for early-stage hepatocellular carcinoma: Editorial on “Conventional and machine learning-based risk scores for patients with early-stage hepatocellular carcinoma”
Junlong DAI ; Jimmy Che-To LAI ; Grace Lai-Hung WONG ; Terry Cheuk-Fung YIP
Clinical and Molecular Hepatology 2024;30(4):698-701
4.Dynamic change of metabolic dysfunction-associated steatotic liver disease in chronic hepatitis C patients after viral eradication: A nationwide registry study in Taiwan
Chung-Feng HUANG ; Chia-Yen DAI ; Yi-Hung LIN ; Chih-Wen WANG ; Tyng-Yuan JANG ; Po-Cheng LIANG ; Tzu-Chun LIN ; Pei-Chien TSAI ; Yu-Ju WEI ; Ming-Lun YEH ; Ming-Yen HSIEH ; Chao-Kuan HUANG ; Jee-Fu HUANG ; Wan-Long CHUANG ; Ming-Lung YU
Clinical and Molecular Hepatology 2024;30(4):883-894
Background/Aims:
Steatotic liver disease (SLD) is a common manifestation in chronic hepatitis C (CHC). Metabolic alterations in CHC are associated with metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to elucidate whether hepatitis C virus (HCV) eradication mitigates MASLD occurrence or resolution.
Methods:
We enrolled 5,840 CHC patients whose HCV was eradicated by direct-acting antivirals in a nationwide HCV registry. MASLD and the associated cardiometabolic risk factors (CMRFs) were evaluated at baseline and 6 months after HCV cure.
Results:
There were 2,147 (36.8%) patients with SLD, and 1,986 (34.0%) of them met the MASLD criteria before treatment. After treatment, HbA1c (6.0% vs. 5.9%, p<0.001) and BMI (24.8 kg/m2 vs. 24.7 kg/m2, p<0.001) decreased, whereas HDL-C (49.1 mg/dL vs. 51.9 mg/dL, p<0.001) and triglycerides (102.8 mg/dL vs. 111.9 mg/dL, p<0.001) increased significantly. The proportion of patients with SLD was 37.5% after HCV eradication, which did not change significantly compared with the pretreatment status. The percentage of the patients who had post-treatment MASLD was 34.8%, which did not differ significantly from the pretreatment status (p=0.17). Body mass index (BMI) (odds ratio [OR] 0.89; 95% confidence intervals [CI] 0.85–0.92; p<0.001) was the only factor associated with MASLD resolution. In contrast, unfavorable CMRFs, including BMI (OR 1.10; 95% CI 1.06–1.14; p<0.001) and HbA1c (OR 1.19; 95% CI 1.04–1.35; p=0.01), were independently associated with MASLD development after HCV cure.
Conclusions
HCV eradication mitigates MASLD in CHC patients. CMRF surveillance is mandatory for CHC patients with metabolic alterations, which are altered after HCV eradication and predict the evolution of MASLD.
5.Comedications and potential drug-drug interactions with direct-acting antivirals in hepatitis C patients on hemodialysis
Po-Yao HSU ; Yu-Ju WEI ; Jia-Jung LEE ; Sheng-Wen NIU ; Jiun-Chi HUANG ; Cheng-Ting HSU ; Tyng-Yuan JANG ; Ming-Lun YEH ; Ching-I HUANG ; Po-Cheng LIANG ; Yi-Hung LIN ; Ming-Yen HSIEH ; Meng-Hsuan HSIEH ; Szu-Chia CHEN ; Chia-Yen DAI ; Zu-Yau LIN ; Shinn-Cherng CHEN ; Jee-Fu HUANG ; Jer-Ming CHANG ; Shang-Jyh HWANG ; Wan-Long CHUANG ; Chung-Feng HUANG ; Yi-Wen CHIU ; Ming-Lung YU
Clinical and Molecular Hepatology 2021;27(1):186-196
Background/Aims:
Direct‐acting antivirals (DAAs) have been approved for hepatitis C virus (HCV) treatment in patients with end-stage renal disease (ESRD) on hemodialysis. Nevertheless, the complicated comedications and their potential drug-drug interactions (DDIs) with DAAs might limit clinical practice in this special population.
Methods:
The number, class, and characteristics of comedications and their potential DDIs with five DAA regimens were analyzed among HCV-viremic patients from 23 hemodialysis centers in Taiwan.
Results:
Of 2,015 hemodialysis patients screened in 2019, 169 patients seropositive for HCV RNA were enrolled (mean age, 65.6 years; median duration of hemodialysis, 5.8 years). All patients received at least one comedication (median number, 6; mean class number, 3.4). The most common comedication classes were ESRD-associated medications (94.1%), cardiovascular drugs (69.8%) and antidiabetic drugs (43.2%). ESRD-associated medications were excluded from DDI analysis. Sofosbuvir/velpatasvir/voxilaprevir had the highest frequency of potential contraindicated DDIs (red, 5.6%), followed by glecaprevir/pibrentasvir (4.0%), sofosbuvir/ledipasvir (1.3%), sofosbuvir/velpatasvir (1.3%), and elbasvir/grazoprevir (0.3%). For potentially significant DDIs (orange, requiring close monitoring or dose adjustments), sofosbuvir/velpatasvir/voxilaprevir had the highest frequency (19.9%), followed by sofosbuvir/ledipasvir (18.2%), glecaprevir/pibrentasvir (12.6%), sofosbuvir/velpatasvir (12.6%), and elbasvir/grazoprevir (7.3%). Overall, lipid-lowering agents were the most common comedication class with red-category DDIs to all DAA regimens (n=62), followed by cardiovascular agents (n=15), and central nervous system agents (n=10).
Conclusions
HCV-viremic patients on hemodialysis had a very high prevalence of comedications with a broad spectrum, which had varied DDIs with currently available DAA regimens. Elbasvir/grazoprevir had the fewest potential DDIs, and sofosbuvir/velpatasvir/voxilaprevir had the most potential DDIs.
6.Scaling up the in-hospital hepatitis C virus care cascade in Taiwan
Chung-Feng HUANG ; Pey-Fang WU ; Ming-Lun YEH ; Ching-I HUANG ; Po-Cheng LIANG ; Cheng-Ting HSU ; Po-Yao HSU ; Hung-Yin LIU ; Ying-Chou HUANG ; Zu-Yau LIN ; Shinn-Cherng CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUANG ; Ming-Lung YU
Clinical and Molecular Hepatology 2021;27(1):136-143
Background/Aims:
Obstacles exist in facilitating hepatitis C virus (HCV) care cascade. To increase timely and accurate diagnosis, disease awareness and accessibility, in-hospital HCV reflex testing followed by automatic appointments and a late call-back strategy (R.N.A. model) was applied. We aimed to compare the HCV treatment rate of patients treated with this strategy compared to those without.
Methods:
One hundred and twenty-five anti-HCV seropositive patients who adopted the R.N.A. model in 2020 and another 1,396 controls treated in 2019 were enrolled to compare the gaps in accurate HCV RNA diagnosis to final treatment allocation.
Results:
The HCV RNA testing rate was significantly higher in patients who received reflex testing than in those without reflex testing (100% vs. 84.8%, P<0.001). When patients were stratified according to the referring outpatient department, a significant improvement in the HCV RNA testing rate was particularly noted in patients from non-hepatology departments (100% vs. 23.3%, P<0.001). The treatment rate in HCV RNA seropositive patients was 83% (83/100) after the adoption of the R.N.A. model, among whom 96.1% and 73.9% of patients were from the hepatology and non-hepatology departments, respectively. Compared to subjects without R.N.A. model application, a significant improvement in the treatment rate was observed for patients from non-hepatology departments (73.9% vs. 27.8%, P=0.001). The application of the R.N.A. model significantly increased the in-hospital HCV treatment uptake from 6.4% to 73.9% for patients from non-hepatology departments (P<0.001).
Conclusions
The care cascade increased the treatment uptake and set up a model for enhancing in-hospital HCV elimination.
7.Comprehensive functional annotation of susceptibility variants identifies genetic heterogeneity between lung adenocarcinoma and squamous cell carcinoma.
Na QIN ; Yuancheng LI ; Cheng WANG ; Meng ZHU ; Juncheng DAI ; Tongtong HONG ; Demetrius ALBANES ; Stephen LAM ; Adonina TARDON ; Chu CHEN ; Gary GOODMAN ; Stig E BOJESEN ; Maria Teresa LANDI ; Mattias JOHANSSON ; Angela RISCH ; H-Erich WICHMANN ; Heike BICKEBOLLER ; Gadi RENNERT ; Susanne ARNOLD ; Paul BRENNAN ; John K FIELD ; Sanjay SHETE ; Loic LE MARCHAND ; Olle MELANDER ; Hans BRUNNSTROM ; Geoffrey LIU ; Rayjean J HUNG ; Angeline ANDREW ; Lambertus A KIEMENEY ; Shan ZIENOLDDINY ; Kjell GRANKVIST ; Mikael JOHANSSON ; Neil CAPORASO ; Penella WOLL ; Philip LAZARUS ; Matthew B SCHABATH ; Melinda C ALDRICH ; Victoria L STEVENS ; Guangfu JIN ; David C CHRISTIANI ; Zhibin HU ; Christopher I AMOS ; Hongxia MA ; Hongbing SHEN
Frontiers of Medicine 2021;15(2):275-291
Although genome-wide association studies have identified more than eighty genetic variants associated with non-small cell lung cancer (NSCLC) risk, biological mechanisms of these variants remain largely unknown. By integrating a large-scale genotype data of 15 581 lung adenocarcinoma (AD) cases, 8350 squamous cell carcinoma (SqCC) cases, and 27 355 controls, as well as multiple transcriptome and epigenomic databases, we conducted histology-specific meta-analyses and functional annotations of both reported and novel susceptibility variants. We identified 3064 credible risk variants for NSCLC, which were overrepresented in enhancer-like and promoter-like histone modification peaks as well as DNase I hypersensitive sites. Transcription factor enrichment analysis revealed that USF1 was AD-specific while CREB1 was SqCC-specific. Functional annotation and gene-based analysis implicated 894 target genes, including 274 specifics for AD and 123 for SqCC, which were overrepresented in somatic driver genes (ER = 1.95, P = 0.005). Pathway enrichment analysis and Gene-Set Enrichment Analysis revealed that AD genes were primarily involved in immune-related pathways, while SqCC genes were homologous recombination deficiency related. Our results illustrate the molecular basis of both well-studied and new susceptibility loci of NSCLC, providing not only novel insights into the genetic heterogeneity between AD and SqCC but also a set of plausible gene targets for post-GWAS functional experiments.
Adenocarcinoma of Lung/genetics*
;
Carcinoma, Non-Small-Cell Lung/genetics*
;
Carcinoma, Squamous Cell/genetics*
;
Genetic Heterogeneity
;
Genetic Predisposition to Disease
;
Genome-Wide Association Study
;
Humans
;
Lung Neoplasms/genetics*
;
Polymorphism, Single Nucleotide
8. Free radical scavenging and anti-proliferative activities of avocado (Persea americana Mill.) seed extract
Thanh Sang VO ; Phuong LE UYEN ; Dai Hung NGO
Asian Pacific Journal of Tropical Biomedicine 2019;9(3):91-97
Objective: To investigate the chemical components and biological activities of avocado seed extract and fractions in order to determine the nutritional and pharmaceutical values of avocado seed. Methods: Various organic solvents were applied for extraction and fractionation of avocado seed. 1,1-diphenyl-2-picryl-hydrazyl, 2,2-azinobis-3-ethyl benzothiazoline-6-sulfonic acid, and DNA oxidation assays were applied for investigation of free radical scavenging activity. Nitric oxide production was measured by Griess reaction assay. Moreover, MTT assay was used to measure cancer cell growth inhibition. Results: The result indicated that the avocado seed contains (7.14 ± 0.40) g lipid/100 g, (1.67 ± 0.03) g protein/100 g, (54.0 ± 1.2) g carbohydrate/100 g, and (62.0 ± 2.3) mg gallic acid equivalent/g dried weight extract. Moreover, dichloromethane and ethyl acetate were revealed to be the highest free radical scavenging fractions with IC
9.Anatomy of recurrent laryngeal nerve during thyroid surgery.
Hung DAI ; Qingquan HUA ; Yang JIANG ; Jianfei SHENG
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2014;28(24):1925-1930
OBJECTIVE:
To study the anatomic characteristics of recurrent laryngeal nerve during thyroid surgery.
METHOD:
A retrospective review of surgical data of 307 patients undertook thyroid surgery was conducted.
RESULT:
Total 342 recurrent laryngeal nerves were identified during the surgery(184 on the right side, left 158). 215 (62.9%) nerves were deep to the inferior thyroid artery, 106(31.0%)were superficial to the artery, 21(7.5%) were between the arterial branches. A nerve bifurcation was found in 203(59.4%). None of nerve bifurcation was found in 136(39.8%). 3(0.9%)were confirmed to hold non-recurrent laryngeal nerves during operations. No patient showed permanent laryngeal recurrent nerve paralysis postoperatively.
CONCLUSION
The careful dissection and protection of the recurrent laryngeal nerve was an effective method to prevent its injury during thyroid surgery.
Arteries
;
Cranial Nerve Diseases
;
etiology
;
prevention & control
;
Dissection
;
Humans
;
Postoperative Period
;
Recurrent Laryngeal Nerve
;
Retrospective Studies
;
Thyroid Gland
;
surgery
;
Thyroidectomy
;
Vocal Cord Paralysis
10.Comparison of Two Methods of Laparoscopic Single Port Appendectomy and Conventional Three Port Laparoscopic Appendectomy.
Eun Young KIM ; Hyung Ook KIM ; Hung Dai KIM ; Jun Ho SHIN ; Byung Ho SON ; Won Joon CHOI
Journal of Minimally Invasive Surgery 2013;16(3):62-68
PURPOSE: Acute appendicitis is a type of abdominal disease that requires emergency surgery. Over the past three decades, laparoscopic appendectomy has become the standard operation for acute appendicitis. The aim of this paper is to compare the methods of single port appendectomy and conventional appendectomy and to illustrate the advantages of single port appendectomy. METHODS: The first group of patients underwent single port appendectomy using a surgical glove (Group 1), and those in the second group underwent surgery using the TriPort system (Group 2). The third group of patients underwent conventional three port surgery (Group 3). Questionnaires regarding patient satisfaction with scars were administered via telephone interview. Patient characteristics, histopathological data, postoperative data, and satisfaction score were analyzed by t-test and Pearson chi2 test. RESULTS: A statistically significant difference in satisfaction scores was observed among the three groups. Overall, patients in the single port group using a surgical glove would be more likely to recommend the procedure to friends and family than would patients in the other two groups. Better cosmetic results were achieved for both groups of patients who underwent laparoscopic single port appendectomy, compared to those who underwent conventional three port laparoscopic appendectomy, with statistically significant difference. CONCLUSION: Laparoscopic single port appendectomy using a surgical glove is a feasible and safe procedure and shows no differences in terms of risk, such as postoperative complication, compared to a conventional three-trocar technique. Use of this method resulted in better satisfaction compared with the other two groups, illustrating its cosmetic improvement.
Appendectomy
;
Appendicitis
;
Cicatrix
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Cosmetics
;
Emergencies
;
Friends
;
Gloves, Surgical
;
Humans
;
Interviews as Topic
;
Patient Satisfaction
;
Postoperative Complications
;
Surveys and Questionnaires

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