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Mak LY, To WP, Tsui V, Chung MSH, Hui KY, Wu TKH, Kwok A, Ko KL, Wong DKH, Wong SY, Liu KSH, Seto WK, Yuen MF. Pilot model of hepatitis C virus micro-elimination in high-risk populations in Hong Kong: Barriers and facilitators. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2024; 132:104568. [PMID: 39216456 DOI: 10.1016/j.drugpo.2024.104568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 08/14/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Although the general seroprevalence of hepatitis C virus (HCV) infection in Hong Kong is <0.5 %, Hong Kong is still striving for HCV elimination owing to barriers in care cascade encompassing linkage-to-care (LTC), treatment initiation and adherence. We aimed to evaluate the feasibility of a pilot model of micro-elimination to strengthen the HCV care cascade for high-risk groups in Hong Kong. METHODS We initiated the pilot Conquering Hepatitis vIa Micro-Elimination (CHIME) program which adopts an integrated care approach involving outreach visits to halfway house or drug rehabilitation centers run by non-governmental organizations. Participants with history of injection drug use (PWID), recreational drug use, or imprisonment were included. We performed point-of-care test for anti-HCV with reflex HCV RNA testing. LTC with government-subsidized direct acting antiviral was provided to viremic participants. We compared the impact on the care cascade with a cohort of HCV patients (17.8 % PWID) under usual care. RESULTS 396 participants (62.9 % PWID) were screened and 187 (47.2 %) were viremic, of which 29.8 % had cirrhosis. Proportion with LTC, treatment initiation and adherence were 76.5 % and 63.7 %, 90.9 % and 85.8 %, and 90.0 % and 92.2 %, for the CHIME program and usual care, respectively. The CHIME program was significantly associated with higher odds of LTC (OR 1.797, 95 % CI 1.221-2.644). Non-engagement in care (affecting 37.9 % participants with HCV viremia) was associated with unemployment (OR 2.165, 95 % CI 1.118-4.190). CONCLUSION The pilot CHIME program demonstrated feasibility of an integrated approach to consolidate the HCV care cascade in high-risk populations in Hong Kong.
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Affiliation(s)
- Lung-Yi Mak
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Wai-Pan To
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | - Vivien Tsui
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | | | - Ka-Yin Hui
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | | | - Anthony Kwok
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | - Kwan-Lung Ko
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | - Danny Ka-Ho Wong
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Siu-Yin Wong
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | - Kevin Sze-Hang Liu
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong
| | - Wai-Kay Seto
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Man-Fung Yuen
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong.
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Chow VYS, Cheung WI. Evaluation of patients treated with direct-acting anti-viral therapy for chronic hepatitis C and their risk of hepatocellular carcinoma in Hong Kong. BMC Gastroenterol 2024; 24:49. [PMID: 38273255 PMCID: PMC10811862 DOI: 10.1186/s12876-023-03099-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 12/14/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND & AIM To evaluate the risk of early hepatocellular carcinoma (HCC) in chronic hepatitis C patients treated with direct-acting antivirals (DAAs) in Hong Kong, as it has not been studied before in this locality. METHODS Three hundred thirty-three consecutive chronic hepatitis C patients treated with DAAs from two hospitals over the past 6 years were identified. Kaplan-Meier method was used to calculate cumulative HCC incidence. Cox regression was used to identify factors associated with HCC development. RESULTS During a median follow-up of 23.4 months after DAA started, 15 (5.4%, 95% CI 3.3-8.7%) out of 279 total included patients developed HCC. The overall sustained virological response (SVR) rate was 98.9%. The 1-year cumulative incidence for de-novo HCC and HCC recurrence were 0.8 and 30.9%, respectively (log-rank test p < 0.001). The 1-year cumulative HCC incidence for patients without and with cirrhosis were 0.7 and 5.1%, respectively (log-rank test p = 0.036). Univariate analysis showed that significant factors associated with HCC after DAA were: history of treated HCC, cirrhosis, evidence of portal hypertension, higher AFP at the start or end of DAA therapy, higher bilirubin, lower platelets, lower albumin, and older age. From receiver operating characteristic curve analysis, the optimal cut-off level of AFP for predicting HCC was 10.5 ng/mL at the start and 5.6 ng/mL at the end of DAA therapy. CONCLUSIONS The risk of early HCC recurrence remains high despite achieving SVR following DAA therapy, whereas the risk of early de-novo HCC occurence is low. AFP levels, both at the start and end of DAA therapy, can be useful in stratifying risks of HCC development.
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Wong GLH, Hui VWK, Hui YT, Lui GCY. Letter: Rethinking the lower incidence of HCC in HIV-infected patients-A closer look at confounding factors. Authors' reply. Aliment Pharmacol Ther 2023; 58:958-959. [PMID: 37831538 DOI: 10.1111/apt.17713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
LINKED CONTENTThis article is linked to Lui et al papers. To view these articles, visit https://doi.org/10.1111/apt.17654 and https://doi.org/10.1111/apt.17689
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Affiliation(s)
- Grace Lai-Hung Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Vicki Wing-Ki Hui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Yee-Tak Hui
- Queen Elizabeth Hospital, Hong Kong, Special Administrative Region, China
| | - Grace Chung-Yan Lui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
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Ma T, Wei X, Wu X, Du J. Trends and future projections of liver cancer incidence in Hong Kong: a population-based study. Arch Public Health 2023; 81:179. [PMID: 37789405 PMCID: PMC10548600 DOI: 10.1186/s13690-023-01191-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/19/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Liver cancer remains a significant burden in Hong Kong. We sought to examine trends in liver cancer incidence using 30 years of cancer registry data in Hong Kong. Additionally, we aimed to assess the impact of age, period and birth cohort on liver cancer incidence, provided projections for liver cancer incidence until 2030, and examined the drivers of liver cancer incidence. METHODS Data on liver cancer incidence were collected from the Hong Kong Cancer Registry (HKCaR). We assessed age, period, and birth cohort effects using age-period-cohort (APC) models. We employed Bayesian APC analysis with integrated nested Laplace approximations to project the future burden of liver cancer in Hong Kong. Furthermore, we attributed the changes in new liver cancer cases to population growth, population ageing, and epidemiological changes. RESULTS The study included a total of 51,333 individuals, of whom 39,287 (76.53%) were male. From 1991 to 2020, the age-standardized liver cancer incidence rate in Hong Kong continued declining, while the number of new cases increased significantly, especially among males. The net drift, representing the overall annual percentage change of the age-adjusted rate, was - 3.06% (95% confidence interval [CI]: -3.31% to -2.80%) for males and - 3.85% (95% CI: -4.61% to -3.09%) for females. Local drift, which estimates the annual percentage change over time specific to age group, decreased in all age groups for both sexes, with a more pronounced decrease in younger age groups. The period and cohort risk of developing liver cancer also showed decreasing trends for both sexes. The study projected a decline in liver cancer cases for males but an increase for females in Hong Kong, with an estimated 1,083 cases in males and 710 cases in females by 2030. Demographic decomposition analysis revealed that while population growth and ageing were the main drivers of increased liver cancer cases, epidemiologic shifts mostly offset these factors. CONCLUSION The period and cohort risk of developing liver cancer in Hong Kong declined due to epidemiological changes. Although the age-standardized incidence rates of liver cancer have also declined, demographic and epidemiological factors have led to lower case expectations in males but a likely increase in females. Further research and epidemiological assessment of the disease are needed.
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Affiliation(s)
- Tianyou Ma
- School of Public Health, Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Xiaohui Wei
- Third Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xiaoming Wu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China
| | - Jianqiang Du
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China.
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Wu D, Nam R, Leung KSK, Waraich H, Purnomo A, Chou OHI, Perone F, Pawar S, Faraz F, Liu H, Zhou J, Liu T, Chan JSK, Tse G. Population-Based Clinical Studies Using Routinely Collected Data in Hong Kong, China: A Systematic Review of Trends and Established Local Practices. CARDIOVASCULAR INNOVATIONS AND APPLICATIONS 2023; 8. [DOI: 10.15212/cvia.2023.0073] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2024] Open
Abstract
Background: Routinely collected health data are increasingly used in clinical research. No study has systematically reviewed the temporal trends in the number of publications and analyzed different aspects of local research practices and their variations in Hong Kong, China, with a specific focus on research ethics governance and approval.
Methods: PubMed was systematically searched from its inception to March 28, 2023, for studies using routinely collected healthcare data from Hong Kong.
Results: A total of 454 studies were included. Between 2000 and 2009, 32 studies were identified. The number of publications increased from 5 to 120 between 2010 and 2022. Of the investigator-led studies using the Hospital Authority (HA)’s cross-cluster data (n = 393), 327 (83.2%) reported receiving ethics approval from a single cluster/university-based REC, whereas 50 studies (12.7%) did not report approval from a REC. For use of the HA Data Collaboration Lab, approval by a single hospital-based or University-based REC is accepted. Repeated submission of identical ethics applications to different RECs is estimated to cost HK$4.2 million yearly.
Conclusions: Most studies reported gaining approval from a single cluster REC before retrieval of cross-cluster HA data. Substantial cost savings would result if repeated review of identical ethics applications were not required.
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Wong NS, Chan DPC, Chan CP, Poon CM, Wong GLH, Wong VWS, Lee SS. Point-of-care hepatitis C reflex testing and treatment referral in methadone clinic settings in Hong Kong—a pilot study. IJID REGIONS 2022; 5:8-12. [PMID: 36119439 PMCID: PMC9471432 DOI: 10.1016/j.ijregi.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 12/04/2022]
Abstract
Hepatitis C virus (HCV) prevalence is high among attendees of methadone clinics in Hong Kong. Finger-prick sampling and reflex HCV testing constitute an acceptable strategy. Linkage of RNA-positive methadone clinic attendees to direct-acting antiviral treatment referral is high. Methadone clinics could be enabled to contribute to HCV micro-elimination.
Objectives People who inject drugs (PWID) constitute a population group with a high hepatitis C virus (HCV) burden. With the objectives of assessing the HCV prevalence in PWID and determining the proportion requiring treatment who could be linked to care, this study piloted onsite reflex HCV testing at low threshold methadone clinics, with prompt referral of HCV RNA-positive participants for treatment. Methods This was a prospective study on methadone clinic attendees in Hong Kong. Questionnaires were completed, finger-prick anti-HCV rapid testing was performed, and positive blood samples were collected for laboratory HCV RNA testing. The proportions of participants along the cascade of HCV care were calculated. Results In 2021–2022, after 14 evening screening sessions at three methadone clinics, 86 of 354 regular attendees (24%) were recruited. The anti-HCV prevalence was 63% (54/86, 95% confidence interval 52–73%), with 78% (42/54) testing positive for HCV RNA and 79% (33/42) successfully referred. Almost all (31/33) referred participants received direct-acting antiviral (DAA) treatment, 94% (29/31) with full treatment compliance; 55% (16/29) of these compliant participants achieved a sustained virological response, while the remainder had not received post-treatment testing. Conclusions The use of a simplified testing algorithm in the setting of substitution treatment services, incorporating reflex HCV testing, could be an effective strategy for contributing towards the micro-elimination of HCV in PWID.
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Hui VWK, Au CL, Lam ASM, Yip TCF, Tse YK, Lai JCT, Chan HLY, Wong VWS, Wong GLH. Drug-drug interactions between direct-acting antivirals and co-medications: a territory-wide cohort study. Hepatol Int 2022; 16:1318-1329. [PMID: 36074319 DOI: 10.1007/s12072-022-10402-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 07/09/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND The increasing number of direct-acting antiviral (DAA) regimens along with limited number of subjects and co-medications involved in clinical trials results in drug-drug interactions (DDIs) with DAAs is to be determined. We aimed to examine the prevalence and degree of DDIs between DAAs and other co-medications in a territory-wide cohort of chronic hepatitis C virus (HCV) patients. METHODS DDIs were assigned to three risk categories: Category 1-no clinically significant DDI; category 2-potential clinically significant interaction (monitoring and caution required); category 3-contraindicated (should not be co-administered). RESULTS Of 2981 patients (mean age 59.3 ± 12.3 years; male 60.6%), 810 (48.8%) had genotype 1 and 552 (33.2%) genotype 6 HCV among the 1661 patients with HCV genotype tested; 769 (25.8%) received sofosbuvir/velpatasvir, 510 (17.1%) sofosbuvir/ledipasvir, and 865 (29.0%) glecaprevir/pibrentasvir. More than one-fourth (26.3%) of the patients have polypharmacy (≥ 3 co-medications) in all patients, 27.0% in patients received sofosbuvir/velpatasvir, 25.1% in elbasvir/grazoprevir, and 21.2% in glecaprevir/pibrentasvir. 2037 (68.3%) patient experienced DDI (Category 2: 53.1%; Category 3: 15.2%). The commonest drugs leading to DDIs were calcium channel blockers (31.5%) and proton pump inhibitors (23.0%) in category 2; statins (10.2%), antiplatelet/anticoagulants (3.0%) and antipsychotics (2.9%) in category 3. Changing medication was the most common response from physicians in both category 2 and 3 DDIs. CONCLUSION The commonest co-medications leading to contraindication during DAA treatment were statins and antipsychotics. Category 2 and 3 DDIs are often managed by appropriate dose adjustments or temporary discontinuation of relevant co-medications. Careful assessment for potential DDI before DAA use is mandatory to avoid potential harmful effects.
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Affiliation(s)
- Vicki Wing-Ki Hui
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Christopher Langjun Au
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Amy Shuk Man Lam
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
| | - Terry Cheuk-Fung Yip
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yee-Kit Tse
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jimmy Che-To Lai
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Henry Lik-Yuen Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- Union Hospital, Hong Kong SAR, China
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Grace Lai-Hung Wong
- Medical Data Analytics Centre (MDAC), The Chinese University of Hong Kong, Hong Kong SAR, China.
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China.
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Wong GLH, Hui VWK, Tan Q, Xu J, Lee HW, Yip TCF, Yang B, Tse YK, Yin C, Lyu F, Lai JCT, Lui GCY, Chan HLY, Yuen PC, Wong VWS. Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis. JHEP Rep 2022; 4:100441. [PMID: 35198928 PMCID: PMC8844233 DOI: 10.1016/j.jhepr.2022.100441] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 12/20/2021] [Accepted: 12/28/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND & AIMS Accurate hepatocellular carcinoma (HCC) risk prediction facilitates appropriate surveillance strategy and reduces cancer mortality. We aimed to derive and validate novel machine learning models to predict HCC in a territory-wide cohort of patients with chronic viral hepatitis (CVH) using data from the Hospital Authority Data Collaboration Lab (HADCL). METHODS This was a territory-wide, retrospective, observational, cohort study of patients with CVH in Hong Kong in 2000-2018 identified from HADCL based on viral markers, diagnosis codes, and antiviral treatment for chronic hepatitis B and/or C. The cohort was randomly split into training and validation cohorts in a 7:3 ratio. Five popular machine learning methods, namely, logistic regression, ridge regression, AdaBoost, decision tree, and random forest, were performed and compared to find the best prediction model. RESULTS A total of 124,006 patients with CVH with complete data were included to build the models. In the training cohort (n = 86,804; 6,821 HCC), ridge regression (area under the receiver operating characteristic curve [AUROC] 0.842), decision tree (0.952), and random forest (0.992) performed the best. In the validation cohort (n = 37,202; 2,875 HCC), ridge regression (AUROC 0.844) and random forest (0.837) maintained their accuracy, which was significantly higher than those of HCC risk scores: CU-HCC (0.672), GAG-HCC (0.745), REACH-B (0.671), PAGE-B (0.748), and REAL-B (0.712) scores. The low cut-off (0.07) of HCC ridge score (HCC-RS) achieved 90.0% sensitivity and 98.6% negative predictive value (NPV) in the validation cohort. The high cut-off (0.15) of HCC-RS achieved high specificity (90.0%) and NPV (95.6%); 31.1% of patients remained indeterminate. CONCLUSIONS HCC-RS from the ridge regression machine learning model accurately predicted HCC in patients with CVH. These machine learning models may be developed as built-in functional keys or calculators in electronic health systems to reduce cancer mortality. LAY SUMMARY Novel machine learning models generated accurate risk scores for hepatocellular carcinoma (HCC) in patients with chronic viral hepatitis. HCC ridge score was consistently more accurate than existing HCC risk scores. These models may be incorporated into electronic medical health systems to develop appropriate cancer surveillance strategies and reduce cancer death.
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Key Words
- ALT, alanine aminotransferase
- APRI, aspartate transaminase-to-platelet ratio index
- AUROC, area under the receiver operating characteristic curve
- Antiviral treatment
- CDARS, Clinical Data Analysis and Reporting System
- CHB, chronic hepatitis B
- CHC, chronic hepatitis C
- CI, confidence intervals
- CVH, chronic viral hepatitis
- Cirrhosis
- DM, diabetes mellitus
- HADCL, Hospital Authority Data Collaboration Lab
- HBV, hepatitis B virus
- HBeAg, hepatitis B e antigen
- HBsAg, hepatitis B surface antigen
- HCC, hepatocellular carcinoma
- ICD-9-CM, International Classification of Diseases, Ninth Revision Clinical Modification
- Liver cancer
- Mortality
- NA, nucleos(t)ide analogue
- RS, ridge score
- WHO, World Health Organization
- World Health Organization
- aHR, adjusted hazard ratio
- anti-HCV, antibody to hepatitis C virus
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Affiliation(s)
- Grace Lai-Hung Wong
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vicki Wing-Ki Hui
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Qingxiong Tan
- Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Jingwen Xu
- Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Hye Won Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Terry Cheuk-Fung Yip
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Baoyao Yang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Yee-Kit Tse
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Chong Yin
- Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Fei Lyu
- Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Jimmy Che-To Lai
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Grace Chung-Yan Lui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Henry Lik-Yuen Chan
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Union Hospital, Hong Kong Special Administrative Region, China
| | - Pong-Chi Yuen
- Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Vincent Wai-Sun Wong
- Medical Data Analytic Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
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Lai JCT, Ho AHY, Wu CWK, Wong GLH. HCV elimination in Hong Kong - Non-government organisation (NGO) activities. Glob Health Med 2021; 3:283-287. [PMID: 34782870 DOI: 10.35772/ghm.2021.01049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 05/17/2021] [Accepted: 05/19/2021] [Indexed: 12/16/2022]
Abstract
World Health Organization (WHO) calls for global hepatitis strategy to eliminate viral hepatitis by 2030. Yet many high-income countries were unable to achieve HCV elimination by 2030. Apart from the tremendous efforts and resources from the governments, many non-government organizations (NGOs) have been working very hard to contribute to HCV elimination. In Hong Kong, the Center for Liver Health of The Chinese University of Hong Kong (CUHK) has been working very closely with various NGOs to educate and screen subjects who previously use intravenous drugs. In this review article, we discussed in details the New Life New Liver Program, and the barriers to HCV elimination, with special highlight the role of NGOs in overcoming the barriers.
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Affiliation(s)
- Jimmy Che-To Lai
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Agnes Hiu-Yan Ho
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Claudia Wing-Kwan Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Grace Lai-Hung Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.,Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
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Wang Y, Cheng G, Lau G. Achieving WHO target of HCV control in Hong Kong: challenges and strategies. Glob Health Med 2021; 3:276-282. [PMID: 34782869 DOI: 10.35772/ghm.2021.01075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/26/2021] [Accepted: 08/03/2021] [Indexed: 11/08/2022]
Abstract
With the introduction of effective directly acting antiviral agents (DAAs) therapy, control and elimination of hepatitis C virus (HCV) infection is becoming a feasible goal. In Hong Kong, HCV prevalence in general population is 0.3%-0.5% over the past decades. However, like other high-income areas/countries, high prevalence of HCV infection has been found in several population groups, such as people who inject drugs (PWID), patients undergoing dialysis, and human immunodeficiency virus infection and acquired immunodeficiency syndrome (HIV/ AIDS) patients. Based on the epidemiological study using data retrieved from the Hong Kong HCV Registry from January 2005 to March 2017, the estimated territory-wide diagnosis rate and treatment rate of HCV infection were only 50.9% and 12.4%, respectively. Although these rates was comparable to many developed countries/areas, the performances remained substantially below 90% and 80%, the 2030 targets proposed by World Health Organization (WHO). In recognition of the challenges, the Hong Kong Government set up the Steering Committee on Prevention and Control of Viral Hepatitis (SCVH) which formulated the Hong Kong Viral Hepatitis Action Plan 2020-2024. The Action Plan adopts four key strategies, as described in the WHO framework for global action, namely, awareness, surveillance, prevention and treatment. With the effective implementation of the Action Plan, especially in targeted screening of high-risk populations and more generalized use of the highly efficacious DAAs for all diagnosed HCV subjects, the goals of reducing HCV transmission and HCV-related morbidity and mortality can be achieved in Hong Kong by 2030.
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Affiliation(s)
- Yudong Wang
- Humanity and Health Clinical Trial Center, Humanity & Health Medical Group, Hong Kong SAR, China
| | - Gregory Cheng
- Humanity and Health Clinical Trial Center, Humanity & Health Medical Group, Hong Kong SAR, China.,Faculty of Health Science, University of Macau, Macau SAR, China
| | - George Lau
- Humanity and Health Clinical Trial Center, Humanity & Health Medical Group, Hong Kong SAR, China.,The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
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11
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Yip TC, Wong VW, Lui GC, Chow VC, Tse Y, Hui VW, Liang LY, Chan HL, Hui DS, Wong GL. Current and Past Infections of HBV Do Not Increase Mortality in Patients With COVID-19. Hepatology 2021; 74:1750-1765. [PMID: 33961298 PMCID: PMC8239872 DOI: 10.1002/hep.31890] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/04/2021] [Accepted: 04/28/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS We compared risk of acute liver injury and mortality in patients with COVID-19 and current, past, and no HBV infection. APPROACH AND RESULTS This was a territory-wide retrospective cohort study in Hong Kong. Patients with COVID-19 between January 23, 2020, and January 1, 2021, were identified. Patients with hepatitis C or no HBsAg results were excluded. The primary outcome was mortality. Acute liver injury was defined as alanine aminotransferase or aspartate aminotransferase ≥2 × upper limit of normal (ULN; i.e., 80 U/L), with total bilirubin ≥2 × ULN (i.e., 2.2 mg/dL) and/or international normalized ratio ≥1.7. Of 5,639 patients included, 353 (6.3%) and 359 (6.4%) had current and past HBV infection, respectively. Compared to patients without known HBV exposure, current HBV-infected patients were older and more likely to have cirrhosis. Past HBV-infected patients were the oldest, and more had diabetes and cardiovascular disease. At a median follow-up of 14 (9-20) days, 138 (2.4%) patients died; acute liver injury occurred in 58 (1.2%), 8 (2.3%), and 11 (3.1%) patients with no, current, and past HBV infection, respectively. Acute liver injury (adjusted HR [aHR], 2.45; 95% CI, 1.52-3.96; P < 0.001), but not current (aHR, 1.29; 95% CI, 0.61-2.70; P = 0.507) or past (aHR, 0.90; 95% CI, 0.56-1.46; P = 0.681) HBV infection, was associated with mortality. Use of corticosteroid, antifungal, ribavirin, or lopinavir-ritonavir (adjusted OR [aOR], 2.55-5.63), but not current (aOR, 1.93; 95% CI, 0.88-4.24; P = 0.102) or past (aOR, 1.25; 95% CI, 0.62-2.55; P = 0.533) HBV infection, was associated with acute liver injury. CONCLUSION Current or past HBV infections were not associated with more liver injury and mortality in COVID-19.
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Affiliation(s)
- Terry Cheuk‐Fung Yip
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
| | - Vincent Wai‐Sun Wong
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
| | - Grace Chung‐Yan Lui
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Stanley Ho Centre for Emerging Infectious DiseasesJockey Club School of Public Health & Primary CareThe Chinese University of Hong KongHong Kong SARChina
| | - Viola Chi‐Ying Chow
- Department of MicrobiologyFaculty of MedicineThe Chinese University of Hong KongHong Kong SARChina
| | - Yee‐Kit Tse
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
| | - Vicki Wing‐Ki Hui
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
| | - Lilian Yan Liang
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
| | - Henry Lik‐Yuen Chan
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
| | - David Shu‐Cheong Hui
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Stanley Ho Centre for Emerging Infectious DiseasesJockey Club School of Public Health & Primary CareThe Chinese University of Hong KongHong Kong SARChina
| | - Grace Lai‐Hung Wong
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Medical Data Analytics CentreThe Chinese University of Hong KongHong Kong SARChina
- Institute of Digestive DiseaseThe Chinese University of Hong KongHong Kong SARChina
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12
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Yuen MF, Liu SH, Seto WK, Mak LY, Corman SL, Hsu DC, Lee MYK, Khan TK, Puenpatom A. Cost-Utility of All-Oral Direct-Acting Antiviral Regimens for the Treatment of Genotype 1 Chronic Hepatitis C Virus-Infected Patients in Hong Kong. Dig Dis Sci 2021; 66:1315-1326. [PMID: 32385703 PMCID: PMC7990846 DOI: 10.1007/s10620-020-06281-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/16/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Direct-acting antivirals (DAAs) are entering the hepatitis C virus (HCV) treatment landscape in Hong Kong, prompting the need for cost-effectiveness evaluations of these interventions to enable optimal use of healthcare resources. AIMS This study aimed to compare the cost-effectiveness of DAAs to standard-of-care pegylated interferon plus ribavirin (RBV) in treatment-naïve patients without significant liver fibrosis and to compare different DAAs in patients who are treatment-experienced and/or have advanced liver disease. METHODS A Markov model was constructed to evaluate cost-effectiveness over a lifetime time horizon from the payer perspective. The target population was treatment-naïve and treatment-experienced HCV genotype 1 patients, stratified by degree of liver fibrosis. The model consists of 16 health states encompassing METAVIR fibrosis score (F0-F4), treatment success or failure, decompensated cirrhosis, hepatocellular carcinoma, liver transplant, and liver-related death. The proportions of patients achieving sustained virologic response were obtained from clinical trials. Other inputs were obtained from published and local data. The primary outcome was incremental cost-utility ratio for each DAA versus pegylated interferon + ribavirin and among different DAAs. RESULTS In treatment-naïve F0-2 HCV patients, all DAAs were cost-effective in genotype 1a and daclatasvir + asunaprevir, elbasvir/grazoprevir, ledipasvir/sofosbuvir, and glecaprevir/pibrentasvir were cost-effective compared to pegylated interferon + ribavirin in genotype 1b. In genotypes 1a and 1b, treatment-experienced patients, and F3-4 patients, elbasvir/grazoprevir was the least costly DAA and economically dominant over most other DAAs. CONCLUSIONS DAAs can be a cost-effective option for the treatment of genotype 1 HCV patients in Hong Kong, and elbasvir/grazoprevir is cost-effective.
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Affiliation(s)
- Man-Fung Yuen
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam, Hong Kong
- State Key Laboratory of Liver Disease, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Sze-Hang Liu
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Wai-Kay Seto
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam, Hong Kong
- State Key Laboratory of Liver Disease, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Lung-Yi Mak
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Shelby L Corman
- Pharmerit International, 4350 East-West Highway Suite 1100, Bethesda, MD, 20814, USA.
| | - Danny C Hsu
- Merck Sharp & Dohme (Asia) Ltd., Hong Kong, Hong Kong
| | - Mary Y K Lee
- Merck Sharp & Dohme (Asia) Ltd., Hong Kong, Hong Kong
| | - Tsz K Khan
- Merck Sharp & Dohme (Asia) Ltd., Hong Kong, Hong Kong
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13
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Yip TCF, Wong GLH, Tse YK, Yuen BWY, Luk HWS, Lam MHB, Li MKK, Loo CK, Tsang OTY, Tsang SWC, Chan HLY, Wing YK, Wong VWS. High incidence of hepatocellular carcinoma and cirrhotic complications in patients with psychiatric illness: a territory-wide cohort study. BMC Gastroenterol 2020; 20:128. [PMID: 32349708 PMCID: PMC7189713 DOI: 10.1186/s12876-020-01277-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/15/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Because of high-risk behaviours, sedentary lifestyle and side effects of medications, psychiatric patients are at risk of viral hepatitis, alcohol-related liver disease and non-alcoholic fatty liver disease. We aimed to study the incidence of hepatocellular carcinoma (HCC) and cirrhotic complications in psychiatric patients. METHODS We identified consecutive adult patients in all public hospitals and clinics in Hong Kong with psychiatric diagnoses between year 2003 and 2007 using the Clinical Data Analysis and Reporting System, which represents in-patient and out-patient data of approximately 80% of the 7.4-million local population. The patients were followed for liver-related events (HCC and cirrhotic complications) and deaths until December 2017. Age- and sex-standardized incidence ratio (SIR) of HCC in psychiatric patients to the general population was estimated by Poisson model. RESULTS We included 105,763 psychiatric patients without prior liver-related events in the final analysis. During a median (interquartile range) follow-up of 12.4 (11.0-13.7) years, 1461 (1.4%) patients developed liver-related events; 472 (0.4%) patients developed HCC. Compared with the general population, psychiatric patients had increased incidence of HCC (SIR 1.42, 95% confidence interval [CI] 1.28-1.57, P < 0.001). The SIR was highest in patients with drug-induced (SIR 3.18, 95% CI 2.41-4.11, P < 0.001) and alcohol-induced mental disorders (SIR 2.98, 95% CI 2.30-3.81, P < 0.001), but was also increased in patients with psychotic disorders (SIR 1.39, 95% CI 1.16-1.65, P < 0.001) and mood disorders (SIR 1.16, 95% CI 1.00-1.34, P = 0.047). Liver disease was the fifth most common cause of death in this population, accounting for 595 of 10,614 (5.6%) deaths. Importantly, 569 (38.9%) patients were not known to have liver diseases at the time of liver-related events. The median age at HCC diagnosis (61 [range 26-83] years) was older and the median overall survival (8.0 [95% CI 5.0-10.9] months) after HCC diagnosis was shorter in this cohort of psychiatric patients than other reports from Hong Kong. CONCLUSIONS HCC, cirrhotic complications, and liver-related deaths are common in psychiatric patients, but liver diseases are often undiagnosed. More efforts are needed to identify liver diseases in the psychiatric population so that treatments and screening for HCC and varices can be provided to patients in need.
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Affiliation(s)
- Terry Cheuk-Fung Yip
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Grace Lai-Hung Wong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Yee-Kit Tse
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Becky Wing-Yan Yuen
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Hester Wing-Sum Luk
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
| | - Marco Ho-Bun Lam
- Department of Psychiatry, Shatin Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Ching Kong Loo
- Department of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong, China
| | - Owen Tak-Yin Tsang
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, China
| | | | - Henry Lik-Yuen Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Yun-Kwok Wing
- Department of Psychiatry, Shatin Hospital, The Chinese University of Hong Kong, Hong Kong, China.
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China.
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
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14
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Kåberg M, Weiland O. Hepatitis C elimination - Macro-elimination. Liver Int 2020; 40 Suppl 1:61-66. [PMID: 32077600 DOI: 10.1111/liv.14352] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 12/26/2019] [Indexed: 12/11/2022]
Abstract
In 2016 the WHO set a goal to obtain an 80% reduction in new chronic HCV cases, requiring a level of diagnosis of 90%, treatment coverage of 80% and resulting in a 65% reduction in HCV-related deaths by 2030. This goal is easier to reach in specific populations such as people who inject drugs (PWID), men who have sex with men (MSM) or blood-transfusion recipients before screening for HCV became mandatory and in high-income regions. It is much more difficult to achieve macro-elimination throughout the population especially in low-income areas with underdeveloped infrastructures, a high prevalence of HCV and limited economic resources. To achieve the WHO goals by 2030, awareness of HCV must increase and the cascade of care must be improved and implemented. Diagnostic procedures and treatment should be affordable and universally available. At the end of 2017 fewer than 15 countries were on track to reach these goals by 2030.
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Affiliation(s)
- Martin Kåberg
- Department of Medicine Huddinge, Division of Infectious Diseases, Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden.,The Stockholm Needle Exchange, Stockholm Centre for Dependency Disorders, Stockholm, Sweden
| | - Ola Weiland
- Department of Medicine Huddinge, Division of Infectious Diseases, Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden
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15
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Sridhar S, Yip CCY, Chew NFS, Wu S, Leung KH, Chan JFW, Cheng VCC, Yuen KY. Epidemiological and Clinical Characteristics of Human Hepegivirus 1 Infection in Patients With Hepatitis C. Open Forum Infect Dis 2019; 6:ofz329. [PMID: 31660385 PMCID: PMC6735942 DOI: 10.1093/ofid/ofz329] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 07/11/2019] [Indexed: 12/13/2022] Open
Abstract
Background Transmission of human hepegivirus 1 (HHpgV-1), a novel human pegivirus, is closely associated with hepatitis C virus (HCV). The impact of HHpgV-1 viremia on HCV infection is unknown. This study aimed to (a) evaluate the impact of HHpgV-1 viremia on HCV viral load and liver injury and (b) elucidate the clinical and molecular epidemiology of HHpgV-1 infection. Methods Individuals with HHpgV-1 viremia (cases) were identified by screening plasma from 655 HCV-infected adults. HHpgV-1 isolates were sequenced for phylogenetic analysis, and viral load was quantified. Cases were age- and sex-matched to HCV-infected individuals without HHpgV-1 viremia (controls) in a 1:3 ratio. A retrospective case–control analysis was performed to identify differences in HCV viral load and parameters of liver injury. Results Among HCV-infected adults, 16/655 (2.4%) had HHpgV-1 viremia. Risk groups for HHpgV-1 infection included intravenous drug users, blood product recipients, tattoo recipients, and men who have sex with men. Viral sequences clustered into 2 distinct HHpgV-1 genogroups. Cases had a higher mean HCV viral load than controls, with difference between means of 0.58 log10 IU/mL (P = .009). Cases were more likely to have an HCV viral load >5 log10 IU/mL (P = .028). Multiple regression demonstrated the impact of HHpgV-1 viral load and infection status on HCV viral load. HHpgV-1 infection was not associated with higher liver function tests, fibrosis scores, or imaging abnormalities. Conclusions HHpgV-1 viremia is associated with a higher HCV viral load in co-infected patients. HHpgV-1 infection does not affect progression of HCV-related liver disease.
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Affiliation(s)
- Siddharth Sridhar
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong - Shenzhen Hospital, The University of Hong Kong, Hong Kong.,State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong.,Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.,Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong
| | - Cyril C Y Yip
- Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Nicholas F S Chew
- Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Shusheng Wu
- Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Kit-Hang Leung
- Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Jasper F W Chan
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong - Shenzhen Hospital, The University of Hong Kong, Hong Kong.,State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong.,Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.,Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong
| | - Vincent C C Cheng
- Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Kwok-Yung Yuen
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong - Shenzhen Hospital, The University of Hong Kong, Hong Kong.,State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong.,Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.,Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong.,The Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong
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16
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Lazarus JV, Pericàs JM, Elsharkawy AM. Leaving behind pegylated interferon-based regimens to eliminate hepatitis C as a public health threat by 2030 as set out by WHO. Liver Int 2018; 38:1902-1905. [PMID: 30358061 DOI: 10.1111/liv.13944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Affiliation(s)
- Jeffrey V Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Juan M Pericàs
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
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