Strategies to manage hepatitis C virus (HCV) infection disease burden - volume 2

The hepatitis C virus (HCV) epidemic was forecasted through 2030 for 15 countries, and the relative impact of two scenarios was considered: (i) increased treatment efficacy while holding the treated population constant and (ii) increased treatment efficacy and increased annual treated population. Increasing levels of diagnosis and treatment, in combination with improved treatment efficacy, were critical for achieving substantial reductions in disease burden. In most countries, the annual treated population had to increase several fold to achieve the largest reductions in HCV-related morbidity and mortality. This suggests that increased capacity for screening and treatment will be critical in many countries. Birth cohort screening is a helpful tool for maximizing resources. In most of the studied countries, the majority of patients were born between 1945 and 1985.

The present and future disease burden of hepatitis C virus (HCV) infections with today's treatment paradigm - volume 2

Morbidity and mortality attributable to chronic hepatitis C virus (HCV) infection are increasing in many countries as the infected population ages. Models were developed for 15 countries to quantify and characterize the viremic population, as well as estimate the number of new infections and HCV related deaths from 2013 to 2030. Expert consensus was used to determine current treatment levels and outcomes in each country. In most countries, viremic prevalence has already peaked. In every country studied, prevalence begins to decline before 2030, when current treatment levels were held constant. In contrast, cases of advanced liver disease and liver related deaths will continue to increase through 2030 in most countries. The current treatment paradigm is inadequate if large reductions in HCV related morbidity and mortality are to be achieved.

Historical epidemiology of hepatitis C virus (HCV) in select countries - volume 2

Chronic hepatitis C virus (HCV) infection is a leading cause of liver related morbidity and mortality. In many countries, there is a lack of comprehensive epidemiological data that are crucial in implementing disease control measures as new treatment options become available. Published literature, unpublished data and expert consensus were used to determine key parameters, including prevalence, viremia, genotype and the number of patients diagnosed and treated. In this study of 15 countries, viremic prevalence ranged from 0.13% in the Netherlands to 2.91% in Russia. The largest viremic populations were in India (8 666 000 cases) and Russia (4 162 000 cases). In most countries, males had a higher rate of infections, likely due to higher rates of injection drug use (IDU). Estimates characterizing the infected population are critical to focus screening and treatment efforts as new therapeutic options become available.

Association between glycosylated hemoglobin and cancer risk: a New Zealand linkage study

BACKGROUND

The purpose of this study was to examine the relationship between glycosylated hemoglobin (HbA(1c)) level and subsequent cancer risk.

MATERIAL AND METHODS

HbA(1c) measurements were made on blood samples of participants in a hepatitis B (HB) screening program (1999-2001). Cancer incidence was determined by linkage to cancer registrations and hospitalization records to the end of 2004. Participants previously diagnosed with diabetes or cancer were excluded. Hazard ratios (HR) and 95% confidence intervals (CIs) were estimated using Cox regression.

RESULTS

Among the 46 575 participants (70% Māori, 12% Pacific, 5% Asian and 12% Other), 634 cancer cases were observed. For all cancers combined, a significant increased risk was found in persons with moderately elevated HbA(1c) levels (6%-6.9%) (HR 1.40, 95% CI: 1.11-1.76), with a smaller increased risk in persons with highly elevated levels (> or =7%) (HR 1.09, 95% CI: 0.80-1.48) as compared with persons having low HbA(1c) levels (<6%). The HRs for respiratory cancers were 2.27 (95% CI: 1.34-3.86) for the moderate HbA(1c) category and 1.58 (95% CI: 0.77-3.26) for the upper HbA(1c) category. For endometrial cancers, the HRs were 4.05 (95% CI: 1.10-14.88) and 5.07 (95% CI: 1.20-21.31), respectively. For other cancer sites, no significantly increased risks were found.

CONCLUSIONS

These findings are consistent with other evidence that abnormal glucose metabolism may be associated with an increased risk of some cancers.