Excess liver-related morbidity of chronic hepatitis C patients, who achieve a sustained viral response, and are discharged from care.

UNLABELLED: Our objective was to address two shortfalls in the hepatitis C virus (HCV) literature: (1) Few data exist comparing post-treatment liver-related mortality/morbidity in HCV-sustained virologic response (SVR) patients to non-SVR patients and (2) no data exist examining liver-related morbidity among treatment response subgroups,particularly among noncirrhotic SVR patients, a group who in the main are discharged from care without further follow-up. A retrospective cohort of 1,215 previously naïve HCV interferon patients (treated 1996-2007)was derived using HCV clinical databases from nine Scottish clinics. Patients were followed up post-treatment for a mean of 5.3 years. (1) By Cox-regression, liver-related hospital episodes (adjusted hazard ratio [AHR]:0.22; 95% confidence interval [CI]: 0.15-0.34) and liver-related mortality [corrected] (AHR: 0.22; 95% CI: 0.09-0.58)were significantly lower in SVR patients, compared to non-SVR patients. (2) Rates of liver-related hospitalization were elevated among all treatment subgroups compared to the general population: Among noncirrhotic SVR patients, adjusted standardized morbidity ratio (SMBR) up to 5.9 (95% CI: 4.5-8.0); among all SVR patients,SMBR up to 10.5 (95% CI: 8.7-12.9); and among non-SVR patients, SMBR up to 53.2 (95% CI: 49.4-57.2).Considerable elevation was also noted among patients who have spontaneously resolved their HCV infection(a control group used to gauge the extent to which lifestyle factors, and not chronic HCV, can contribute toliver-related morbidity), SMBR up to 26.8 (95% CI: 25.3-28.3). CONCLUSIONS: (1) Patients achieving an SVR were more than four times less likely to be hospitalized, or die for a liver-related reason, than non-SVR patients and (2) although discharged, noncirrhotic SVR patients harbor a disproportionate burden of liver-related morbidity; up to six times that of the general population. Further, alarming levels of liver-related morbidity in spontaneous resolvers is an important finding warranting further study..

Ranking predictors of a sustained viral response for patients with chronic hepatitis C treated with pegylated interferon and ribavirin in Scotland.

OBJECTIVES: From the literature on the hepatitis C virus, the existence of a gap between a sustained virologic response (SVR) attainable in randomized clinical trials (RCTs) versus routine practice is not clear. Further, in terms of the pretreatment prediction of SVR, to date, studies have focused only on reporting the magnitude of association (MOA) between each predictor and an SVR. They fail to acknowledge that a predictor with a large MOA is of little value to clinicians if it has low variability in the treatment population. METHODS: Hepatitis C virus clinical databases were used to derive a large, representative cohort of Scottish pegylated interferon and ribavirin initiates. RESULTS: Overall, 39% [123/315, 95% confidence interval (CI) 34-45%] of genotype 1 and 70% (414/594, 95% CI 66-73%) of genotype 2/3 patients achieved an SVR; this compares with the pooled estimates of 47% for genotype 1 (95% CI 41-52%) and 80% for genotype 2/3 (95% CI 75-85%) RCT participants. Significant predictors of SVR identified from logistic regression were ranked on the basis of the akaike information criteria (reflecting an approach that will account for each predictor's MOA and variability) as follows: (i) genotype, % increase in akaike information criteria of the final model when variables are excluded, 58.49%; (ii) γ-glutamyl transferase, 18.64%; (iii) platelet count, 6.48%; (iv) alanine aminotransferase quotient, 4.63%; (v) ever infected with hepatitis B virus, 4.31% and (vi) sex, 3.10%. CONCLUSION: (i) The proportion of patients attaining an SVR in Scottish routine practice is marginally lower than in RCTs and (ii) other than genotype, γ-glutamyl transferase emerges as a valuable predictor of an SVR in routine practice. Further, we demonstrate an approach to more clearly discern the predictive value of response predictors.