Hussainy As

Comparative analysis of viral titers and histologic features of Pakistani patients infected with hepatitis C virus type 3

BACKGROUNDnSerum hepatitis C virus (HCV) RNA levels and genotypes are considered to be important determinants of the response to interferon treatment. Generally, patterns of viral loads have been reported for HCV type 1 infections and categorized as low- or high-level viremia. We studied the distribution of HCV RNA levels in patients predominantly infected with HCV type 3 and correlated it with hepatic damage.nnnMETHODSnSerum HCV RNA levels and HCV serotypes were determined in 245 anti-HCV-positive patients representing all the major ethnic groups of Pakistan. Patients were grouped according to their HCV RNA levels as: level I (up to 50th percentile); level II (50th to 75th percentile); and level III (>75th percentile).nnnRESULTSnSixty-one patients (25%) had high-level viremia (level III) of 13.9 mega equivalent per milliliter (MEq/mL) or greater. These were more likely to be males (48 versus 13, P<0.05). A higher viral load correlated with advanced levels of fatty changes in liver. HCV type 3 was found in 68% of the samples, and type 1 in 14%; the rest were undefined. Mean HCV RNA levels were lower in patients infected with HCV type 3 than in patients infected with HCV type 1 (8.63 MEq/mL versus 37 MEq/mL; P<0.001).nnnCONCLUSIONSnMost patients with HCV type 3 infection had viremia that was significantly lower than that in HCV type 1-infected patients. This may be the reason for the better response to treatment usually seen in such cases. The severity of histologic changes was not associated with HCV type 3 viremia levels.

Large-Scale pathology-based cancer data - a reflection of population-based cancer data

Pathology-based cancer data is a high quality reflection of the patterns of cancer in the population it represents, provided the demographic details of the patients are carefully recorded. Relative frequency data is neither a replacement for population-based data nor a suggested alternative; it simply enhances the quality of population data and in very large data sets reflects the cancer patterns observed in the representative populations. Aware of the standard shortfalls of pathology-based data, the department of pathology, ‘The Aga Khan University Hospital’ (AKUH) standardized its data, representing 53.4% of the cancer data of Karachi Division (Pakistan) and also reflecting the cancer pattern of other provinces of Pakistan. This data was compared with 4 different population and institutional-based data sets. The findings substantiate the observation that “despite the problems of interpretation of data from pathology laboratories, they are an invaluable source of information on cancer patterns in much of the world where incidence data are unavailable”. If developing countries, unable to organize National Population-Based Registry should as an alternate develop National Pathology-based Registers a well targeted and monitored, a Cancer Control Program would be possible. A good quality, large-scale pathology data with demographic details of the patient recorded can also be extended to give coverage to the population.