{"title":"预测慢性丙型肝炎索非布韦 8 周治疗反应的 IFNL4 基因型和其他个人特征","authors":"","doi":"10.1016/j.jinf.2024.106258","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Shorter duration therapy for hepatitis C virus (HCV) infection might reduce treatment costs and increase the number of patients treated and cured. We determined factors associated with treatment response after an 8-week sofosbuvir-based therapy and developed a simple model to predict an individual’s likelihood of treatment success.</p></div><div><h3>Methods</h3><p>Among 2907 patients who received ledipasvir/sofosbuvir for 8 weeks, we determined failure rates by demographic and clinical characteristics, and <em>IFNL4</em>-∆G/TT genotype. We estimated the average <em>IFNL4</em> genotype-related treatment failure rate in major ancestry groups by applying our <em>IFNL4</em> genotype results to genotype distributions from reference populations. We created a treatment response model based on three personal characteristics.</p></div><div><h3>Results</h3><p>Overall, 4.4% of the patients failed treatment. We observed significantly lower failure rates for persons <50 years (1.6%), females (2.6%), those carrying the <em>IFNL4</em>-TT/TT genotype (1.8%), those with HCV RNA <5.8 log<sub>10</sub> copies/mL (2.0%) or HCV genotype-1B infection (2.6%). In a model based on ancestry, age and sex, the predicted probability of treatment failure ranged from 0.5% among females of East Asian ancestry <50 years of age to 8.5% among males of African ancestry age ≥65 years.</p></div><div><h3>Conclusion</h3><p>Applying this algorithm at the point-of-care might facilitate HCV elimination, especially in low- and middle-income countries.</p></div>","PeriodicalId":50180,"journal":{"name":"Journal of Infection","volume":null,"pages":null},"PeriodicalIF":14.3000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0163445324001920/pdfft?md5=03e998d5cd0e3ffa3661cca7eb8805e6&pid=1-s2.0-S0163445324001920-main.pdf","citationCount":"0","resultStr":"{\"title\":\"IFNL4 genotype and other personal characteristics to predict response to 8-week sofosbuvir-based treatment for chronic hepatitis C\",\"authors\":\"\",\"doi\":\"10.1016/j.jinf.2024.106258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Shorter duration therapy for hepatitis C virus (HCV) infection might reduce treatment costs and increase the number of patients treated and cured. We determined factors associated with treatment response after an 8-week sofosbuvir-based therapy and developed a simple model to predict an individual’s likelihood of treatment success.</p></div><div><h3>Methods</h3><p>Among 2907 patients who received ledipasvir/sofosbuvir for 8 weeks, we determined failure rates by demographic and clinical characteristics, and <em>IFNL4</em>-∆G/TT genotype. We estimated the average <em>IFNL4</em> genotype-related treatment failure rate in major ancestry groups by applying our <em>IFNL4</em> genotype results to genotype distributions from reference populations. We created a treatment response model based on three personal characteristics.</p></div><div><h3>Results</h3><p>Overall, 4.4% of the patients failed treatment. We observed significantly lower failure rates for persons <50 years (1.6%), females (2.6%), those carrying the <em>IFNL4</em>-TT/TT genotype (1.8%), those with HCV RNA <5.8 log<sub>10</sub> copies/mL (2.0%) or HCV genotype-1B infection (2.6%). In a model based on ancestry, age and sex, the predicted probability of treatment failure ranged from 0.5% among females of East Asian ancestry <50 years of age to 8.5% among males of African ancestry age ≥65 years.</p></div><div><h3>Conclusion</h3><p>Applying this algorithm at the point-of-care might facilitate HCV elimination, especially in low- and middle-income countries.</p></div>\",\"PeriodicalId\":50180,\"journal\":{\"name\":\"Journal of Infection\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":14.3000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0163445324001920/pdfft?md5=03e998d5cd0e3ffa3661cca7eb8805e6&pid=1-s2.0-S0163445324001920-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Infection\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0163445324001920\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0163445324001920","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
IFNL4 genotype and other personal characteristics to predict response to 8-week sofosbuvir-based treatment for chronic hepatitis C
Background
Shorter duration therapy for hepatitis C virus (HCV) infection might reduce treatment costs and increase the number of patients treated and cured. We determined factors associated with treatment response after an 8-week sofosbuvir-based therapy and developed a simple model to predict an individual’s likelihood of treatment success.
Methods
Among 2907 patients who received ledipasvir/sofosbuvir for 8 weeks, we determined failure rates by demographic and clinical characteristics, and IFNL4-∆G/TT genotype. We estimated the average IFNL4 genotype-related treatment failure rate in major ancestry groups by applying our IFNL4 genotype results to genotype distributions from reference populations. We created a treatment response model based on three personal characteristics.
Results
Overall, 4.4% of the patients failed treatment. We observed significantly lower failure rates for persons <50 years (1.6%), females (2.6%), those carrying the IFNL4-TT/TT genotype (1.8%), those with HCV RNA <5.8 log10 copies/mL (2.0%) or HCV genotype-1B infection (2.6%). In a model based on ancestry, age and sex, the predicted probability of treatment failure ranged from 0.5% among females of East Asian ancestry <50 years of age to 8.5% among males of African ancestry age ≥65 years.
Conclusion
Applying this algorithm at the point-of-care might facilitate HCV elimination, especially in low- and middle-income countries.
期刊介绍:
The Journal of Infection publishes original papers on all aspects of infection - clinical, microbiological and epidemiological. The Journal seeks to bring together knowledge from all specialties involved in infection research and clinical practice, and present the best work in the ever-changing field of infection.
Each issue brings you Editorials that describe current or controversial topics of interest, high quality Reviews to keep you in touch with the latest developments in specific fields of interest, an Epidemiology section reporting studies in the hospital and the general community, and a lively correspondence section.