Prospective Study Open Access
Copyright ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 28, 2016; 22(44): 9853-9859
Published online Nov 28, 2016. doi: 10.3748/wjg.v22.i44.9853
Hepatitis E virus: Western Cape, South Africa
Richie G Madden, Sebastian Wallace, Glynn W Webb, Joanne Palmer, Harry R Dalton, Royal Cornwall Hospital Trust and European Centre for Environment and Human Health, University of Exeter, TR1 3LJ Truro, United Kingdom
Mark Sonderup, C Wendy Spearman, Division of Hepatology, Department of Medicine, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, Anzio Road, Cape Town 7925, South Africa
Stephen Korsman, National Health Laboratory Service, Groote Schuur Hospital, Cape Town and Division of Medical Virology, Anzio Road, Cape Town 7925, South Africa
Tawanda Chivese, Bronwyn Gavine, Aniefiok Edem, Roxy Govender, Nathan English, Christy Kaiyamo, Odelia Lutchman, University of Cape Town Faculty of Health Sciences, Anzio Road, Observatory, Cape Town 7935, South Africa
Annemiek A van der Eijk, Suzan D Pas, Department of Viroscience, Erasmus Medical Centre, Medical Center Rotterdam, Gravendijkwal 230, 3015 CE Rotterdam, Netherlands
Elizabeth Goddard, Department of Paediatrics, Faculty of Health Sciences, University of Cape Town and Red Cross Children’s Hospital, Cnr of Klipfontein and Milner Road, Rondebosch, Cape Town 7700, South Africa
Sean Wasserman, Division of Infectious Diseases and HIV Medicine, Department of Medicine, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, Anzio Road, Cape Town 7925, South Africa
Author contributions: Madden RG, Wallace S, Sonderup M, Dalton HR and Spearman CW conceived the study and wrote the paper; Chivese T, Gavine B, Edem A, Govender R, English N, Kaiyamo C, Lutchman O and Webb G collected the data and reviewed the drafts; Palmer J did the statistical analysis; and van der Eijk AA, Pas SD, Wasserman S and Goddard E reviewed the drafts; Spearman CW is the guarantor.
Institutional review board statement: Ethics approval was granted by the Faculty of Health Sciences Human Research Ethics Committee of the University of Cape Town, reference HREC 018/2014.
Informed consent statement: All participants, or their legal guardian, provided written consent prior to study enrollment.
Conflict-of-interest statement: Dalton HR has had travel and accommodation costs and consultancy fees from GlaxoSmithKline, Wantai and Gilead; and travel, accommodation and lecture fees from Merck, GFfe Blut GmBh and the Gates foundation. Sonderup M has received travel awards and consultancy fees from AbbVie, Gilead and Roche.
Data sharing statement: There is no additional data to share.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Richie G Madden, Royal Cornwall Hospital Trust and European Centre for Environment and Human Health, University of Exeter, TR1 3LJ Truro, United Kingdom. richie@forfey.com
Telephone: +44-77-36335924 Fax: +44-18-72252794
Received: July 8, 2016
Peer-review started: July 12, 2016
First decision: July 29, 2016
Revised: September 16, 2016
Accepted: October 19, 2016
Article in press: October 19, 2016
Published online: November 28, 2016

Abstract
AIM

To conduct a prospective assessment of anti-hepatitis E virus (HEV) IgG seroprevalence in the Western Cape Province of South Africa in conjunction with evaluating risk factors for exposure.

METHODS

Consenting participants attending clinics and wards of Groote Schuur, Red Cross Children’s Hospital and their affiliated teaching hospitals in Cape Town, South Africa, were sampled. Healthy adults attending blood donor clinics were also recruited. Patients with known liver disease were excluded and all major ethnic/race groups were included to broadly represent local demographics. Relevant demographic data was captured at the time of sampling using an interviewer-administered confidential questionnaire. Human immunodeficiency virus (HIV) status was self-disclosed. HEV IgG testing was performed using the Wantai® assay.

RESULTS

HEV is endemic in the region with a seroprevalence of 27.9% (n = 324/1161) 95%CI: 25.3%-30.5% (21.9% when age-adjusted) with no significant differences between ethnic groups or HIV status. Seroprevalence in children is low but rapidly increases in early adulthood. With univariate analysis, age ≥ 30 years old, pork and bacon/ham consumption suggested risk. In the multivariate analysis, the highest risk factor for HEV IgG seropositivity (OR = 7.679, 95%CI: 5.38-10.96, P < 0.001) was being 30 years or older followed by pork consumption (OR = 2.052, 95%CI: 1.39-3.03, P < 0.001). A recent clinical case demonstrates that HEV genotype 3 may be currently circulating in the Western Cape.

CONCLUSION

Hepatitis E seroprevalence was considerably higher than previously thought suggesting that hepatitis E warrants consideration in any patient presenting with an unexplained hepatitis in the Western Cape, irrespective of travel history, age or ethnicity.

Key Words: Hepatitis E, Seroprevalence, South Africa, Pork consumption, Genotype

Core tip: This is a prospective seroprevalence study of 1161 participants assessing anti-hepatitis E virus (HEV) IgG seroprevalence in the Western Cape Province of South Africa. The only risk factors for seropositivity are pork consumption and individuals over 30 years of age. A recent clinical case suggests HEV genotype 3 may be circulating in South Africa.



INTRODUCTION

Globally, hepatitis E virus (HEV) is the most frequent aetiological cause of acute hepatitis[1]. It causes sporadic and epidemic infections, predominantly in young adults living in developing countries. In these regions, it is associated with HEV genotypes 1 and 2, which are obligate human pathogens and spread oro-faecally through infected water. Most patients experience a self-limiting hepatitis, except in pregnant women and patients with chronic liver disease, where mortality may reach 25% and 75% respectively[2].

In the developed world, hepatitis E is largely a porcine zoonosis caused by genotypes 3 and 4 and is a cause of self-limiting hepatitis in middle-aged and elderly men[2-4]. Chronic infection occurs in those who are immunosuppressed, including transplant recipients[5], patients with haematological malignancy and individuals with human immunodeficiency virus (HIV)[6]. An important route of infection is through consumption of infected pig meat products in the human food chain[2].

Hepatitis E, invariably genotypes 1 and 2, is seen in a number of African countries. There have been several outbreaks observed in sub-Saharan African refugee camps, including recently South Sudan and Uganda[7,8]. In the 1980’s a large outbreak was reported in Namibia where HEV genotype 2 is known to circulate[9]. In South Africa, very few data regarding HEV exists. Two seroprevalence studies from the 1990’s demonstrated low rates but these studies were potentially limited as the screening tests employed are now known to have had poor sensitivity[10]. In addition, very few cases of hepatitis E from South Africa have been reported in the literature but recently, two cases caused by HEV genotype 3 have been described[11,12].

Given the paucity of data, we elected to prospectively investigate the seroprevalence of anti-HEV IgG in a South African population in the Western Cape using a sensitive assay as well as assessing risk factors for anti-HEV IgG seropositivity. Unexpectedly, a case of acute hepatitis E infection was documented and is reported here.

MATERIALS AND METHODS
HEV seroprevalence and risk factors

The study was designed to cover all age groups in addition to reflecting the population of the Western Cape in terms of ethnic distribution. Participants were asked to self-identify their ethnicity and were randomly recruited and sampled from the three major ethnic groups aged 0 to > 60 years old from both a hospital and non-hospital setting. Participants were recruited from the general medical and Emergency Unit inpatients and outpatients of Groote Schuur, Red Cross Childrens, New Somerset and UCT Private Academic Hospitals between 28/02/14-12/02/2015. Furthermore, healthy blood donors, prior to screening, from two blood donation centres in Cape Town, South Africa were included. Participants with known or reported liver disease were excluded. Following informed consent, blood samples were drawn and each participant completed a structured questionnaire for demographic and known risk factors for hepatitis E acquisition, these included, consumption of pork, sausage, bacon/ham, fish and shellfish; type of dwelling (formal dwelling or informal dwelling/shack in back yard, informal dwelling/shack not in back yard, other); access to piped water (piped water inside dwelling, piped water inside yard, piped water outside yard, no access to piped water); proximity to coast (coastal, < 5 km, 5-10 km, > 10 km) and refuse disposal (removed by local authority/private company, communal refuse dump, own refuse dump, no rubbish disposal/other). Given the massive upscaling of HIV testing in South Africa, participants were asked to self-disclose their HIV status, if known. Blood samples were stored at -70 °C and tested in batches for HEV anti-IgG using the Wantai® assay (Beijing, China) according to the manufacturer’s instructions.

Statistical analysis

Age-standardized seroprevalence was calculated using the 2014 South Africa Mid-Year population estimates as the reference population[13]. Age-specific percentages were applied to the South African population, and then summed to determine the age-standardized seroprevalence for anti-HEV IgG in the population as a whole as well as between different ethnic groups. Continuous variables are described using counts and percentages and independent risk factors were explored by uni-variate binary logistic regression. Factors, which were found to be statistically significant on uni-variate analysis, were then modelled with multi-variate binary logistic regression using maximum-likelihood estimation with parameters (0, 1), analysed with IBM SPSS V22.0. Statistical significance was accepted if P < 0.05.

Clinical case

A documented case of acute hepatitis E presenting to New Somerset hospital is described; the clinical course and laboratory findings are recorded.

Ethics

Ethics approval was granted by the Faculty of Health Sciences Human Research Ethics Committee of the University of Cape Town. Patients ≥ 18 years provided consent whilst parents/guardians provided permission/consent for minors. Adolescents provided assent.

RESULTS

About 1161 participants were included in the study with the 3 major ethnic groups in the Western Cape viz. Black Africans (n = 392, 33.5%), Mixed Ancestry (n = 455, 38.9%) and Whites (n = 322, 27.5%), proportionally sampled. The mean age of the population sampled was 36.4 years (SD 22.3) and 53.3% were male. Notably, Whites < 16 years and Black Africans > 60 years of age were relatively under-represented due to low attendance at sampling locations (Table 1 and Figure 1).

Table 1 Data (%) for total population overall and age group seroprevalence and 95%CI in 3 racial groups in Western Cape, South Africa.
Age group (yr)Total population (n = 1161)
Black African population (n = 389)
MA/Coloured population (n = 452)
White population (n = 320)
IgG (n)HEV Seroprevalence % (95%CI)IgG (n)HEV Seroprevalence % (95%CI)IgG (n)HEV Seroprevalence % (95%CI)IgG (n)HEV Seroprevalence % (95%CI)
0-46/728.3 (3.9-17.0)2/365.6 (1.5-18.1)4/3112.9 (5.1-28.9)0/510 (0-43.4)
5-96/787.7 (3.6-15.8)1/263.8 (0.7-18.9)5/4511.1 (4.8-23.5)0/710 (0-35.4)
10-147/729.7 (4.8-18.7)3/2711.1 (3.9-28.1)4/429.5 (3.8-22.1)0/310 (0-56.2)
15-198/958.4 (4.3-15.7)4/2317.4 (7.0-37.1)4/429.5 (3.8-22.1)0/3010 (0-11.4)
20-2917/1799.5 (6.0-14.7)2/623.2 (0.9-11.0)9/5416.7 (9.0-28.7)6/639.5 (4.4-19.3)
30-3942/14229.6 (22.7-37.5)14/5226.9 (16.8-40.3)17/4537.8 (25.1-52.4)11/4524.4 (14.2-38.7)
40-4967/15343.8 (36.2-51.7)22/6235.5 (24.7-47.9)22/4944.9 (31.9-58.7)23/4254.8 (39.9-68.8)
50-5962/12649.2 (40.6-57.8)15/3641.7 (27.1-57.8)26/4755.3 (41.2-68.6)21/4348.8 (34.6-63.2)
60-6967/15244.1 (36.4-52.0)24/4355.8 (41.1-69.6)19/5832.8 (22.1-45.6)24/5147.1 (34.1-60.5)
70-7934/6850.0 (38.4-61.6)6/1735.3 (17.3-58.7)16/2955.2 (37.5-71.6)12/2254.5 (34.7-73.1)
80+8/2433.3 (18.0-53.3)1/520.0 (3.6-62.4)2/1020.0 (5.7-51.0)5/955.6 (26.7-81.1)
Total324/116127.9 (25.3-30.5)94/38924.2 (20.2-28.7)128/45228.3 (24.4-32.6)102/32031.9 (27.0-37.2)
Figure 1
Figure 1 Overall seroprevalence curve and individual seroprevalence curves in 3 racial groups in Western Cape, South Africa. Anti-HEV IgG seroprevalence by age in Western Cape, South Africa.

The overall anti-HEV IgG seroprevalence was 27.9% (n = 324/1161, 95%CI: 25.3-30.5) and the age adjusted seroprevalence was 21.9%. Seroprevalence in children (< 19 years old) was approximately 10% with a rapid increase in seroprevalence in individuals older than 20 years of age (Figure 1). Various demographic and environmental factors were explored with univariate analysis, age, ethnicity, gender, HIV status, consumption of pork, sausages, bacon/ham, fish, shellfish, type of dwelling, access to water, proximity to the coast and method of refuse disposal (Table 2). Age group ≥ 30 years (P < 0.001), pork consumption (P < 0.001) and bacon/ham consumption (P = 0.004) were strongly associated with a positive HEV IgG. However as the pork and bacon/ham are not independent from one another, only pork consumption was used in the multivariate analysis along with age group (< 30 years, ≥ 30 years).

Table 2 Risk factor analysis.
Potential risk factors (n = 131)Univariate analyses
Groupsn (IgG%)P valueOR (95%CI)
Race (n = 161)Black African (n = 389)94 (24.2%)0.073-
MA/Coloured (n = 452)128 (28.3%)1.24 (0.91-1.69)
White (n = 320)102 (31.9%)1.47 (1.06-2.04)
Gender (n = 161)Male (n = 541)161 (29.8%)0.189-
Female (n = 620)163 (26.3%)0.842 (0.65-1.09)
Pork (n = 131)Yes (n = 690)228 (33.0%)< 0.0011.93 (1.45-2.55)
No (n = 441)90 (20.4%)-
Sausage (n = 131)Yes (n = 853)248 (29.1%)0.2101.22 (0.90-1.66)
No (n = 278)70 (25.2%)-
Bacon/Ham (n = 131)Yes (n = 707)220 (31.1%)0.0041.50 (1.14-1.98)
No (n = 424)98 (23.1%)-
Fish (n = 131)Yes (n = 1055)299 (28.3%)0.5321.19 (0.69-2.03)
No (n = 76)19 (25.0%)
Shellfish (n = 131)Yes (n = 548)163 (29.7%)0.2381.17 (0.90-1.52)
No (n = 583)155 (26.6%)-
Type of dwelling (n = 161)Formal Dwelling (n = 1050)296 (28.2%)0.642-
Shack in Yard (n = 88)21 (24.0%)0.80 (0.48-1.40)
Shack not in Yard (n = 19)5 (26.3%)0.91 (0.33-2.55)
Other (n = 4)2 (50.0%)2.55 (0.36-18.17)
Water access (n = 1161)Piped dwelling (n = 1041)292 (28.0%)0.516-
Piped yard (n = 68)17 (25.0%)0.855 (0.49-1.51)
Community tap (n = 44)11 (25.0%)0.855 (0.43-1.71)
No water access (n = 8)4 (50.0%)2.565 (0.64-10.32)
Proximity to coast (n = 1160)Coastal (n = 114)32 (28.0%)0.935-
Under 5 km (n = 209)62 (29.7%)1.081 (0.65-1.79)
5-10 km (n = 313)85 (27.2%)0.955 (0.59-1.54)
Over 10 km (n = 524)145 (27.7%)0.980 (0.62-1.54)
Refuse disposal (n = 1160)Local authority (n = 1124)315 (28.0%)0.725-
Communal dump (n = 20)5 (25.0%)0.856 (0.31-2.40)
Own dump (n = 8)3 (37.5%)1.541 (0.37-6.50)
No rubbish disposal (n = 8)1 (12.5%)0.367 (0.05-3.00)
HIV status (n = 891)Positive (n = 60)14 (23.3%)0.3401.35 (0.73-2.50)
Negative (n = 831)242 (29.1%)-
Age group (n = 1156)< 30 yr (n = 496)44 (8.9%)< 0.001-
≥ 30 yr (n = 660)280 (42.4%)7.569 (5.36-10.70)
Multivariate analysis (n = 1126)
PorkYes (n = 686)228 (33.2%)< 0.0017.679 (5.38-10.96)
Age group≥ 30 yr (n = 660)276 (42.3%)< 0.0012.021 (1.50-2.73)

The model was statistically significant (P < 0.001) and therefore was able to determine the risk factors of people presenting with HEV IgG positive compared to those that were not and explained between 15%-22% of the variance . With pork in their diet, an individual had an increased risk (OR = 2.02, 95%CI: 1.5-2.73) of being HEV IgG positive compared to those who did not have pork in their diet. Individuals 30 years old or over had an increased risk (OR = 7.679, 95%CI: 5.38-10.96, P < 0.001) of being HEV IgG positive compared to those under 30 years old. No other risk factors were associated with HEV seropositivity (Table 2) and therefore excluded from the multivariate analysis.

Clinical case of hepatitis E

In January 2014, a 54-year-old white male presented to New Somerset Hospital, Cape Town, with acute liver failure secondary to a severe hepatitis. Initial clinical examination revealed marked icterus, mild abdominal ascites and smooth non-tender hepatomegaly, as well as signs of chronic liver disease including palmar erythema and spider telangiectasia on the chest wall. The patient worked as a truck driver but had no history of recent travel (in the last 3 mo prior to presentation) outside of the Western Cape. He was not known to have any medical co-morbidities but reportedly consumed significant alcohol. At presentation, blood tests demonstrated (normal range in parentheses): Bilirubin 407 μmol/L (0-18 μmol/L), albumin 28 g/L (35-52 g/L), alanine aminotransferase (ALT) 3054 IU/L (0-40 IU/L), prothrombin time-International normalized ratio (PT-INR) 2.74. Serology for hepatitis A, B, C and HIV were negative. Despite maximal supportive care he demised on day 3 following admission as a result of fulminant hepatic failure. On the day of his death, hepatitis E IgM test returned positive and subsequently HEV RNA genotype 3e was confirmed by polymerase chain reaction (PCR) (see Figure 2).

Figure 2
Figure 2 A maximum likelihood tree constructed in MEGA6 from an alignment of a 301nt fragment of ORF2. Bootstrap support above 60% is shown. Our patient’s viral sequence, GenBank accession KT833800, is highlighted in red. The tree is rooted on the HEV reference sequence (genotype 1). Sequences for comparison have names starting with genotype, followed by Genbank accession number, followed by country ISO 3166-1 abbreviation (CA: Canada; ES: Spain; GB: United Kingdom; JP: Japan; NL: The Netherlands; TW: Taiwan; US: United States of America; ZA: South Africa), and ending in source (D: Deer; H: Human; P: Pig). The patient’s viral sequence clusters within genotype 3 (with subgenotype 3e), in keeping with other viruses recently described in South Africa[11,12,24].
DISCUSSION

The seroprevalence in Western Cape is much higher than has been previously described in South African populations[10,14]. We found that the overall seroprevalence was 27.9% (21.9% when age-adjusted) and was similar between genders, ethnic groups and HIV status. The age-related seroprevalence curve shows that HEV IgG seropositivity increases with age, but in a non-linear fashion. Seroprevalence is very low in children and young adults, rapidly increasing between the ages of 20 and 30 years and then plateaus off. Multivariate risk factor analysis demonstarted that the only other significant association with anti-HEV IgG seropositivity was the consumption of pork.

Two previous studies from South Africa in the 1990’s described seroprevalence rates of 10.7% and 1.8%-2.6%, respectively. The overall seroprevalence in the current study was an order of magnitude higher. The reason for this difference could relate to geographical location, as both the above previous studies were performed in different areas of South Africa and it is known that HEV seroprevalence can vary enormously between regional areas within countries[15]. Another possible explanation is that there has been an increase in the exposure rates of hepatitis E in South Africa over the last 20 years, which may include changes in migration, diet and enzootic disease. However, the likely dominant explanation relates to the sensitivity of the IgG assays employed in the previous studies. The first generation of anti-HEV IgG assays used in studies in the 1990’s lacked sensitivity and generally reported spuriously low seroprevalence rates[16]. In contrast, the assay employed in our study has a sensitivity of 98% at detecting previous infection and produces much higher estimates of seroprevalence[17,18]. However, in common with all currently available anti-HEV IgG assays, the specificity of the Wantai® assay for detecting previous infection has not been fully established although indirect evidence suggests that it has an acceptable specificity. This includes very low seroprevalence rates in young children (in the current study and others from Nepal, Bangladesh and France)[19] and adult populations (Fiji 2%[20], New Zealand 4%[21] and Scotland 4.6%[22])[19-21]. Hence, the high seroprevalence rate reported in our study is probably due to the high sensitivity of the assay used.

The shape of the anti-HEV seroprevalence curve in Western Cape (low rates in childhood, with a rapid increase in early adulthood) is similar to that seen in hyperendemic developing countries such as Nepal and Bangladesh, where HEV genotype 1 predominates[18]. However, the risk factor analysis showed that only pork consumption was significantly associated with HEV seropositivity which is typical of European populations with high incidences of locally-acquired porcine HEV genotype 3[3,15,23]. This finding contrasts with previous data from a different area of South Africa, which showed that rural mud hut dwellers with no access to clean water had higher seropositivity[13]. Moreover, there have been no outbreaks of hepatitis E reported in South Africa which would also argue against genotype 1 possibly being the dominant circulating genotype. Our clinical case, in addition to others, suggests that HEV genotype 3 may be currently circulating in Western Cape. The other cases include two of HEV genotype 3 infection in immunosuppressed patients documented in Cape Town[11,12].

The strengths of the current study are that a highly sensitive, partially validated assay was employed to estimate seroprevalence and that the study population comprised of large numbers of individuals, including adults and children, from all racial groups. The main limitation of the study is that the population was a heterogeneous “convenience population” comprising hospital in-patients, outpatients and healthy blood donors and may not be representative of the population of Western Cape as a whole. The population studied may have over or under-represented certain population subgroups. This includes white children and elderly black South Africans, very few of whom were included in the study.

In conclusion, HEV is endemic in the Western Cape, South Africa with seroprevalence of 27.9%. Seroprevalence in children is very low with a rapid increase in early adulthood. The only risk factors for seropositivity are pork consumption and individuals over 30 years of age. Recent cases suggest HEV genotype 3 may be currently circulating in South Africa. The diagnosis of hepatitis E should be considered in any patient presenting with hepatitis in Western Cape, irrespective of travel history, age or ethnicity.

COMMENTS
Background

Globally, hepatitis E virus (HEV) is the most frequent aetiological cause of acute hepatitis. It causes sporadic and epidemic infections, predominantly in young adults living in developing countries. In these regions, it is associated with HEV genotypes 1 and 2, which are obligate human pathogens and spread oro-faecally through infected water. Most patients experience a self-limiting hepatitis, except in pregnant women and patients with chronic liver disease, where mortality may reach 25% and 75% respectively.

Research frontiers

Many previous seroprevalanece studies in HEV employed poor assays and have in due course underestimated the extent of the problem in these geographical settings. The authors used a highly sensitive and specific assay; Wantai® demonstrating a seroprevalence of 27.9%. It also demonstrated a potential circulating gentotype previously thought not to be circulating in this particular area: HEV3.

Innovations and breakthroughs

Only pork consumption was significantly associated with HEV seropositivity which is typical of European populations with high incidences of locally-acquired porcine HEV genotype 3. This finding contrasts with previous data from a different area of South Africa, which showed that rural mud hut dwellers with no access to clean water had higher seropositivity. Moreover, there have been no outbreaks of hepatitis E reported in South Africa which would also argue against genotype 1 possibly being the dominant circulating genotype.

Applications

The diagnosis of hepatitis E should be considered in any patient presenting with hepatitis in Western Cape, irrespective of travel history, age or ethnicity.

Peer-review

This study describes the prevalence of anti-HEV IgG in hospital patients and blood donors in Western Cape, South Africa, and identified consumption of pork as its risk factor. The study also reported a case of fulminant hepatic failure following acute HEV infection with genotype 3 in a patient who had chronic alcoholic liver disease. The study provides useful information for better understanding of HEV epidemiology in South Africa.

Footnotes

Manuscript source: Unsolicited manuscript

Specialty type: Gastroenterology and hepatology

Country of origin: United Kingdom

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): B, B

Grade C (Good): C

Grade D (Fair): 0

Grade E (Poor): 0

P- Reviewer: Nakano T, Shimakawa Y, Vento S S- Editor: Gong ZM L- Editor: A E- Editor: Liu WX

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