1.Sexual Abuse Is Associated With an Abnormal Psychological Profile and Sleep Difficulty in Patients With Irritable Bowel Syndrome in Taiwan
Hsing Feng LEE ; Pei Yi LIU ; Yen Po WANG ; Chia Fen TSAI ; Full Young CHANG ; Ching Liang LU
Journal of Neurogastroenterology and Motility 2018;24(1):79-86
BACKGROUND/AIMS: Both sexual and physical abuse history have been reported to be associated with irritable bowel syndrome (IBS) in Western countries. The impact of abuse history in IBS patients in Asia remains unclear. We aim to determine the prevalence of abuse history, its associated psychological profiles, and sleep problems among IBS patients in Taiwan. METHODS: In total, 194 Rome III-defined IBS patients were invited to participate. Age- and sex-matched healthy carriers of chronic hepatitis B or hepatitis C without chronic abdominal symptoms were identified as disease-controls. We administered a validated questionnaire to evaluate bowel symptoms, physical/sexual abuse history, anxiety/depression (Hospital Anxiety and Depression Scale [HADS]), and sleep quality. RESULTS: IBS patients had a significantly higher prevalence of sexual abuse history than the disease-control group both before (16.5% vs 6.7%, P < 0.05) and after (16.0% vs 6.6%, P < 0.05) adolescence. These significant differences were mainly observed in women (13.4% vs 3.4%, P < 0.05). No difference was noted in history of physical abuse between the 2 groups. IBS patients with a history of sexual abuse had significantly higher HADS scores and higher frequencies of sleep difficulty than those without. CONCLUSIONS: In Taiwan, sexual abuse history was more prevalent in female IBS patients than controls. Sexual abuse history may contribute to higher anxiety/depression levels and sleep difficulties, which are commonly experienced in IBS patients. In Asia, abuse history should be obtained when approaching IBS patients to facilitate better management.
Adolescent
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Anxiety
;
Asia
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Depression
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Female
;
Hepatitis B, Chronic
;
Hepatitis C
;
Humans
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Irritable Bowel Syndrome
;
Physical Abuse
;
Prevalence
;
Sex Offenses
;
Taiwan
2.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.
3.Risk of Hepatitis B Virus (HBV) Reactivation in HBsAg-Negative, Anti-HBc-Negative Patients Receiving Rituximab for Autoimmune Diseases in HBV Endemic Areas
Ting-Yuan LAN ; Yen-Chun LIN ; Tai-Chung TSENG ; Hung-Chih YANG ; Jui-Hung KAO ; Chiao-Feng CHENG ; Tai-Ju LEE ; Shang-Chin HUANG ; Cheng-Hsun LU ; Ko-Jen LI ; Song-Chou HSIEH
Gut and Liver 2023;17(2):288-298
Background/Aims:
Rituximab is known to be associated with high hepatitis B virus (HBV) reactivation rate in patients with resolved HBV infection and hematologic malignancy. However, data regarding HBV reactivation (HBVr) in rheumatic patients receiving rituximab is limited. To assess the HBVr rate in hepatitis B surface antigen (HBsAg)-negative patients receiving rituximab for autoimmune diseases in a large real-world cohort.
Methods:
From March 2006 to December 2019, 900 patients with negative HBsAg receiving at least one cycle of rituximab for autoimmune diseases in a tertiary medical center in Taiwan were retrospectively reviewed. Clinical outcome and factors associated with HBVr were analyzed.
Results:
After a median follow-up period of 3.3 years, 21 patients developed HBVr, among whom 17 patients were positive for hepatitis B core antibody (anti-HBc) and four were negative. Thirteen patients had clinical hepatitis flare, while eight patients had HBsAg seroreversion without hepatitis. Old age, anti-HBc positivity, undetectable serum hepatitis B surface antibody level at rituximab initiation and a higher average rituximab dose were associated with a higher HBVr rate. There was no significant difference in the HBVr risk between rheumatoid arthritis and other autoimmune diseases. Among anti-HBc-negative patients, subjects without HBV vaccination at birth had an increased risk of HBVr (4/368, 1.1%) compared with those who received vaccination (0/126, 0%).
Conclusions
In HBV endemic areas where occult HBV is prevalent, anti-HBc-negative patients, may still be at risk for HBVr after rituximab exposure. HBVr may still be considered in HBsAgnegative patients developing abnormal liver function after rituximab exposure, even in patients with negative anti-HBc.
4.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.
5.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.
7.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.