Prevalence and genotypes of hepatitis C virus infection among drug addicts and blood donors in Thailand.

Hepatitis C virus (HCV) is an infectious agent that has the potential to cause chronic liver disease, cirrhosis and hepatocellular carcinoma. We determined the prevalence and genotypes of HCV infection among groups of drug addicts: intravenous drug users (n = 134), methamphetamine users (n = 100), inhaled-drugs users (n = 19) and alcoholics (n = 50); a group of blood donors acted as a control. The control group consisted of 179 randomly-selected anti-HCV positive samples: these were subjected to HCV RNA screening and genotyping. The anti-HCV test was performed by ELISA: HCV RNA screening was by nested RT-PCR that employed primers from the 5' noncoding region. The genotype assay was based upon analysis of the 5' NCR amplified sequences and RFLP. Hepatitis C virus was highly prevalent among all groups of drug addicts (12-70%). In 2000. among the new blood donors (n = 66,340) at the National Blood Center, Thai Red Cross, anti-HCV prevalence amounted to 0.98%. The HCV genotype distribution showed that the most prevalent genotype was 3a, followed by 1b and 6a. Our data demonstrated the very high prevalence of HCV infection in IVDUs, a finding that is consistent with the blood-borne nature of the virus. In order to curb HCV infection, a determined effort to educate both the general population and high-risk groups is required; such a program of education would address both general and particular methods of transmission, especially the use of non-sterile needles etc.

Relationship of national highway with injecting drug abuse and HIV in rural Manipur, India.

Earlier study reported that about 1% of general population or urban Manipur was injecting drug users (IDUs). A study was conducted to observe the IDU prevalence in rural Manipur and the role of national highway (NH) in determining the IDU prevalence if any. It was also aimed to study the HIV prevalence among IDUs of different villages. Villages were startified in to 3 categories based on distance and communication facilities from the national highway, which cuts across the villages to the neighboring state, Nagaland. Villages close to NH had the highest IDU prevalence of 1.3% and remote villages had the least prevalence of 0.2% whereas villages in between the above mentioned two groups had a prevalence of 0.9%. It was surprisingly observed that HIV was uniformly distributed among the IDUs of all villages and ranged from 50-51%. This indicates that IDU prevalence at distance is predominantly determined by the presence of drug trafficking route/s like national highway whereas HIV prevalence is mainly determined by the needle sharing behaviour of IDUs.

A cross-sectional study on factors including HIV testing and counselling determining unsafe injecting practices among injecting drug users of Manipur.

In India, a steep increase in the prevalence of HIV (0% to 50% within six months) among the IDUs has been reported in Manipur, a north eastern state in 1990. In spite of large scale intervention program like educational campaign and widespread voluntary HIV testing in this state, the infection has quickly spread to the heterosexual population at large. The determinants of risk taking behaviors like sharing of unclean needle among the IDU population has been explored in this paper. A cross sectional study has been carried out among all of the 488 IDUs who attended any detoxification centers and prison during last two years at Imphal, the capital city of this state. Self reported behaviors based on the pre-scheduled interview were recorded and participation rate was satisfactory. The data was compared to a similar survey carried out by us in 1990. Although there has been decline in risk behavior among the IDUs, a logistic regression analysis reveals that unsafe needle sharing behavior is not influenced by the knowledge on HIV transmission, educational status or history of HIV testing or serostatus of the individual. The limitation of cross sectional nature of the study, bias due to collection of data in prison, self reported behavior, possible differences with street samples of the addict are discussed.