Abstract
Background
Pakistan is endemic to hepatitis B and C infections. Alarming rise in hepatitis C virus (HCV) infection has been noticed in some areas of Sindh with an increasing risk for co-infection frequency in this region.
Objective
To estimate the burden of HBV/HCV infection in Hyderabad Pakistan.
Methods
ELISA and Nucleic acid Amplification test were performed to detect viruses. SPSS and online calculator were used for statistical analysis.
Results
From a total of 108 seropositive hepatitis patients, 36.1% (n=39) were found HCV RNA-positive. Non-significant differences were observed in the frequencies of HCV infection for both genders [OR=0.735, CI (95%) 0.307–1.761, p<0.05]. The percentage of HBV DNA detection among 108 HCV-seropositive cases was 17.9% (n=19). However, HCV-HBV co-infection in HCV-RNA positive cases was determined in 48.7% (n=19) cases with non-significant difference in both genders [OR=1.51, CI (95%) = 0.38 - 5.96, p< 0.05]. Analysis suggested weakly positive correlation between HCV mono-infection and HCV-HBV co-infection and age (r =0.184, and r =0.1231), respectively.
Conclusion
The study demonstrates a high prevalence of HBV co-infection among active hepatitis C patients of Hyderabad.
Keywords: HCV mono-infection, HCV-HBV co-infection, molecular surveillance, Nucleic acid Amplification Test, active hepatitis C, Hyderabad, Sindh
Introduction
Hepatitis B and Hepatitis C identified as the most prevalent causes of hepatitis in diverse groups of population including general population, health care workers, children and patients with short-term hepatitis and chronic liver diseases. Nearly 2 billion people are infected with Hepatitis B Virus (HBV) and the annual mortality rate approaches about 0.9 million around the world in people suffering from Hepatitis B associated complications1,2. Hepatitis C virus (HCV) is also one of the major sources of chronic hepatitis and affects about 71 million people with the magnitude of about 0.4 million deaths annually around the world3,4.
Hepatitis B virus belong to Hepadnavirus family having a circular dsDNA genome with one nick, but, complete -ve DNA strand (∼3.2 kb in length). The other complementary strand is of +ve polarity and incomplete with a large gap, approximately 1.7 kb in length5. Although HBV vaccine was introduced more than three decades ago6, the infectivity ratio of hepatitis B is still exceedingly distressing, affecting around 350–400 million individuals with chronic infection worldwide, of whom 75% belong to Asia7–9. HBV infection is endemic to Pakistan with a seroprevalence of 2.4% (range 1.4–11.0%) in healthy adults10,11 and 32.6% in patients with liver disease12. HBV infection approximately affects 9 million people in Pakistan13. HBV transmission mostly occurs through parenteral route, that is, unsafe blood transfusions and use of unsterilized or re-used syringes and needles10,11,13.
Hepatitis C Virus (HCV) is an enveloped, blood-borne infectious agent belongs to Flaviviridae family with ssRNA genome of positive polarity14. Hepatitis C is estimated to affect 171 million people worldwide with the global infectivity ratio of ∼3%15–17. HCV is widely spread amongst the population of Pakistan with the mean sero-prevalence rate of 6.8% among healthy adults and infectivity ratio of more than 5% in the general population across the country17.
Nearly 10 million people in Pakistan are affected with Hepatitis C infection18 and most of them belong to rural and periurban areas of Pakistan where the sources of HCV spread are relatively many, such as, routine practice of multiple injections, re-use of syringes, unsterilized use of needles in ear and nose piercing and lack of proper blood screening and transfusion procedures, etc. A high sero-prevalence of HCV up to 28.6% is described in asymptomatic individuals in Nausheroferoz district, Sindh, suggesting HCV is widely present in certain rural areas19. Because HCV and HBV share the same route of transmission and the chances of co-infection are likely more particularly in areas with high burden of infection by these viruses. Limited research reports are available to describe the co-infection frequency in different geographical regions of Pakistan and the data from Hyderabad and other areas of Sindh is actually scarce. HBV-HCV co-infection frequency is reported as 9% in hepatitis patients of Peshawar and Abbottabad cities of Pakistan20. In few other studies conducted in some rural areas of Punjab province, HBsAg and anti-HCV antibody was found in 0.19% in healthy blood donors21 and 3.2% in health care workers22. The rural and urban areas in Sindh province, except the mega city Karachi, are largely investigated for the prevalence of mono-infection by HBV and HCV and lack a co-infection parameter19,23–25. A few studies conducted in Karachi show dual HBV-HCV prevalence as 0.11% in household children26, 1.3% in viral hepatitis patients27 and 3.1% in patients of hepatitis B28. In one community based study Bhatti and Manzoor described 2.5% dual HBV-HCV prevalence in rural areas of Sindh29. A previous study by Junejo et al. presented 3.9% co-prevalence of HBsAg and anti-HCV infection in the ocular patients of Hyderabad30. In the present study, we investigated more than hundred hepatitis C seropositive samples from HCV patients of Hyderabad. All anti-HCV positive samples were processed for NAT to find out active HCV cases. HBV co-infection was tracked in both anti-HCV and HCV-RNA positive samples and the data obtained was correlated with age and gender for the statistical analysis. The data presented here describes the prevalence of HBV co-infection in the active HCV patients of Hyderabad city of Pakistan.
Methods
The study was approved by the Institutional Review Board [R.No.5 (60)] of University of Sindh, Jamshoro. In the present study, blood samples from hepatitis patients were collected and processed from Asian Institute of Medical Sciences (AIMS), one of the main diagnostic centers of Hyderabad. The minimum sample size for both mono and co-infections were determined to be 87 and 90 using the following parameters; the Z value of standard normal distribution was calculated from 95% (CI) with a margin of error of 5%, and about 6% of HCV active infection17 and 6.2% of HCV-HBV co-infection respectively10. A total of 108 non-duplicate samples from different age groups found positive for anti HCV antibodies on the basis of the Electro-Chemi-Luminescence Immunoassay (ECLIA) using Elecsys and Cobas e Immunoassay Analyzer were included in the current study. The samples were processed for Nucleic acid Amplification Test to detect the HCV RNA and HBV DNA. The detection was performed on Cobas® 480 System USA Hemilton (involving separate extraction and detection) using Cobas® HCV and HBV test kit (Roche) as per manufacturer's instructions. The statistical analysis of data was either performed using SPSS IBM version 20 or using online statistics calculator [Select Statistical Services UK (www.select-statistics.co.uk) and Graph-pad prism (www.graphpad.com)]. The variables categorized were further scrutinized using Fisher's exact test and bivariate correlation analysis.
Results
HCV RNA positive cases are independent of gender
For the estimation of active HCV infection, an overall of 108 non-duplicate anti-HCV antibodies positive samples from hepatitis patients of different age groups were processed to detect HCV RNA using quantitative RT-PCR. A total of 79 samples (74.5%) from male and 29 samples (27.3%) from female patients were processed. The overall percentage of HCV RNA-positive and negative samples was found to be 36.1% (n=39) and 63.9% (n=67) respectively (Figure 1). Categorically, a total of 12 (34.1%) cases among females and 27 (41.3%) among males were found to be positive (Table 1, Figure 2). The OR with CI (95%) for gender was calculated to be 0.735 (CI 95% = 0.307–1.761), while the p-values using a Fisher's exact test was determined to be 0.490 at α=0.05, suggesting statistically non-significant differences in the frequencies of HCV infection among both genders.
Figure 1.
Bar diagram displaying the percentages of HCV mono-infection and HCV-HBV co-infection.
Table 1.
Percentages of HCV-RNA positive and negative cases among male and female gender and age groups. The Odds ratio (OR), CI (95%) and p-values are mentioned for various age groups, gender-wise. n = number, NA = Not Applicable
Gender | HCV-RNA | 1 – 10 | 11 – 20 | 21 – 30 | 31 – 40 | 41 – 50 | 51 – 60 | 61 – 70 | 71 – 80 |
n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||
Male | Positive | 0 (NA) | 0 (NA) | 2 (13.3%) | 11 (37.9%) |
7 (33.3%) | 4 (50%) | 3 (60%) | 0 (NA) |
Negative | 0 (NA) | 0 (NA) | 13 (86.7%) |
18 (62.1%) |
14 (66.7%) | 4 (50%) | 2 (40%) | 1 (NA) | |
Total | 0 | 0 | 15 | 29 | 21 | 8 | 5 | 1 | |
Female | Positive | 0 (NA) | 2 (100%) | 5 (45.4%) | 1 (12.5%) | 2 (66.6%) | 2 (40%) | 0 (NA) | 0 (NA) |
Negative | 0 (NA) | 0 (00%) | 6 (54.6%) | 7 (87.5%) | 1 (33.4%) | 3 (60%) | 0 (NA) | 0 (NA) | |
Total | 0 | 2 | 11 | 8 | 3 | 5 | 0 | 0 | |
OR [CI (95%)] |
[NA] | [NA] | 0.18 [0.03 – 1.24] |
4.30 [0.46 – 39.6] |
0.75 [0.1 – 5.58] |
1.5 [0.16 – 14.4] |
[NA] | [NA] | |
p-value (α = 0.05) |
[NA] | [NA] | 0.09 | 0.23 | 1 | 1 | [NA] | [NA] |
Figure 2.
Bar diagram displaying the percentages of HCV mono-infection and HCV-HBV co-infection in both genders.
Age and HCV RNA positive cases have a weak positive correlation
To explore if age has any correlation with HCV-RNA positive cases, a Pearson's correlation co-efficient between age and HCV RNA positive cases was calculated to be r = 0.184, suggesting a weakly positive correlation between age and HCV RNA positive cases. We also categorized the data into various age groups. The magnitude of the age group was randomly chosen to be 10. Table 1 displays the number of HCV-RNA positive and negative cases for different age groups in each category and is expressed both in absolute and relative values (percentages). The OR, CI (95%), and p-values calculated for various age groups gender-wise are also shown in Table 1.
The maximum active HCV percentage in male category was found in the age group of 61–70 years (60%) while in case of female category the maximum active HCV percentage was seen in the age group of 11–20 years (100%). However due to very small number of samples the comparative analysis could not be performed for these age groups. In order to avoid bias, the age groups having mathematically substantial sample size (i.e. age groups ranging from 21 to 60) were then compared for both genders. The highest positive cases (66.6%) were seen for female category in the age group of 41–50, however, statistically non-significant differences for HCV-RNA positive cases between male and female were found in various age groups.
HCV-HBV co-infection is independent of gender
To determine the co-infection frequency, HCV sero-positive samples (n=106) were further processed in combination with Hepatitis B virus detection. Out of 39 HCV RNA positive samples, 19 (48.7%) were found to be positive for HCV-HBV co-infection, while 20 (51.3%) were negative for co-infection. (Figure 1). Categorically, a total of 14/27 (51.8%) cases among male and 05/12 (41.6%) among female were calculated to be positive for HCV-HBV co-infection (Table 2, Figure 2). The OR with CI (95%) for gender was calculated to be 1.51 CI (95%) = (0.38 - 5.96), while the p-values using a Fisher's exact test was determined to be 0.731 at α=0.05, suggesting an impartial effect of gender on the HCV-HBV co-infection.
Table 2.
Percentages of HCV-HBV-RNA positive and negative cases among male and female gender and age groups. The odds ratio (OR), CI (95%) and p-values are mentioned for various age groups, gender-wise. n = number, NA = Not Applicable, Co-CB = HCV-HBV Co-infection
Gender | HCV-HBV Co-infection |
1 – 10 | 11 – 20 | 21 – 30 | 31 – 40 | 41 – 50 | 51 – 60 | 61 – 70 | 71 – 80 |
n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||
Male | Co-CB | 0 (NA) | 0 (NA) | 2 (13.3%) | 5 (17.2%) | 2 (10%) | 3 (37.5%) | 2 (40%) | 0 (00%) |
Non-Co-CB | 0 (NA) | 0 (NA) | 13 (86.7%) | 24 (82.8%) |
18 (90%) | 5 (62.5%) | 3 (60%) | 1 (100%) |
|
Total | 0 | 0 | 15 | 29 | 20 | 8 | 5 | 1 | |
Female | Co-CB | 0 (NA) | 1 (50%) | 2 (18.8%) | 0 (0%) | 1 (33.3%) | 1 (20%) | 0 (NA) | 0 (NA) |
Non-Co-CB | 0 (NA) | 1 (50%) | 9 (81.8%) | 7 (100%) | 2 (66.7%) | 4 (80%) | 0 (NA) | 0 (NA) | |
Total | 0 | 2 | 11 | 7 | 3 | 5 | 0 | 0 | |
OR [CI (95%)] |
[NA] | [NA] | 0.69 [0.08–5.86] |
[NA] | 0.22 [0.01–3.89] |
2.4 [0.18–32.88] |
[NA] | [NA] | |
p-value (α = 0.05) |
[NA] | [NA] | 1 | [NA] | 0.356 | 1 | [NA] | [NA] |
Age and HCV-HBV co-infection cases have a weak positive correlation
To explore if age has any correlation with HCV-HBV co-infection, a Pearson's correlation co-efficient between age and HCV-HBV co-infection cases was calculated to be r = 0.1231, suggesting a weakly positive correlation between age and HCV-HBV co-infection cases. We also categorized the data into various age groups. Once again the magnitude of the age group was randomly chosen to be 10. The Table 2 displays the numbers of HCV-HBV co-infection cases for different age groups in each category and is expressed both in absolute and relative values (percentages). Table 2 also shows the OR, CI (95%), and p-values calculated for various age groups gender-wise. The maximum percentage HCV-HBV co-infection frequency in male category was found in the age group of 61–70 years (40%) while in case of female category the maximum HCV-HBV coinfection frequency was seen in the age group of 11–20 years (50%). However due to very small numbers of samples the comparative analysis could not be performed for these age groups. In order to avoid bias, the age groups having mathematically substantial sample size (i.e. age groups ranging from 21 to 60) were then compared for both genders. The highest positive cases (37.5%) for HCV-HBV co-infection were seen for male category in the age group of 51–60, however, statistically non-significant differences for HCV-HBV co-infection cases between male and female were found in various age groups.
Discussion
Pakistan is one of the worst affected countries with the highest burden of hepatitis B and hepatitis C viral infection. According to World Health Organization (WHO) report, nearly 12 million people in Pakistan are suffering from hepatitis B or C infections and the number is on continuous rise each year. In hepatitis B and C endemic countries, dual HBV and HCV infection constitute a significant number of patients. Infection with more than one hepatitis virus further aggravates the chronicity of disease in the population particularly with low socio-economic status. Co-infection of HBV and HCV has been reported from different countries of world as these viruses share the same route of transmission31–33. Patients with dual hepatitis are more susceptible and at greater risk of developing liver cirrhosis and hepatocellular carcinoma31. Anti-HCV prevalence is reported 5% and HBsAg as 2.4% in general population of Pakistan26. However, prevalence of hepatitis B and C varies in different geographical locations of Pakistan, depending upon the extent of exposure to the common risk factors, awareness and access of community to proper public health services. For example, in some rural areas of Sindh, HBV and HCV frequency was observed as 13% and 22% in pregnant woman and blood donors, respectively34. In few other studies exposure of HCV is observed even greater than 25% in the asymptomatic people of upper Sindh19,35 reflecting the fact that actual burden of disease need to be measured and it varies with localities within the same province. It has been studied that among the patients of chronic liver disease, HBV mono-infection prevalence is 10–46%, anti-HCV is 40–60% 24 and co-infection frequency of hepatitis B and C virus is 1–3%27,28.
In the current study, active HCV mono-infection was found in 36.1% cases and were simultaneously tracked for co-infection with HBV using NAT. Overall co-infection prevalence was observed as 17.9% in total anti-HCV positive samples (n=108) and 48% in HCV-RNA positive samples. This is a significantly higher frequency of dual infection in comparison to previous studies in the same or different regions of Pakistan. However, keeping in mind the higher frequency of exposure (> 25%) to both hepatitis B and C in rural areas of upper Sindh19,35, we presume that in hepatitis patients the chances for holding HBV and HCV dual infection are greater. In our study, we did not observe a significant statistical difference between single or dual infection of HBV/HCV and gender. Some studies have shown that males have a high percentage of infectivity as compared to the females but lack significant statistical values24,27. As has been described by others24,35–37, we also observed in our study that frequency of mono or dual hepatitis increases with age and the maximum frequency (37.5%) is seen in age group of 51–60. However the small sample size is a limitation of the present study but it strongly upholds the view that there is an alarmingly high prevalence of single or dual HBV/HCV infection in the indigenous population of Hyderabad. The study provides a future direction to explore the common associated risk factors and a molecular surveillance with an increased sample size to estimate mono-infection and co-infection frequency in this region.
Conclusion
From the present study, we perceive that prevalence of HBV and HCV is widespread among the population but the actual burden of disease is still not explored well in both symptomatic and asymptomatic individuals of Hyderabad region. HCV is more widespread than HBV infection perhaps due to the lack of vaccine for HCV virus. Most of the studies conducted in rural or urban areas of Sindh are based on serological methods rather than molecular detection of viral nucleic acid to measure the actual prevalence of disease. Therefore it is suggested that access to an accurate diagnosis should be provided to the poor population for the estimation of true positive / active HCV infection, proper management and prevention of chronic illness.
Acknowledgments
We are thankful to Asian Institute of Medical Sciences (Diagnostic center, Hyderabad) for their help and providing space to perform the laboratory work. We are also thankful to University of Sindh for facilitating us to execute this research study.
Funding
This work was supported by the University of Sindh, Jamshoro.
Conflicts of interest
None.
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