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<article article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JRENHEP</journal-id>
<journal-title-group>
<journal-title>Journal of Renal and Hepatic Disorders</journal-title>
<abbrev-journal-title>JRENHEP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2207-3744</issn>
<publisher>
<publisher-name>Troika Publisher</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.63268/jrenhp.v8i2.207</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
      <title-group>
        <article-title>Chaos in the diagnosis of hepatitis C virus in hemodialysis patients</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Indira</surname>
            <given-names>Ananthapadmanabasamy</given-names>
          </name>
		  <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Velvizhi</surname>
            <given-names>Gomathinayagam</given-names>
          </name>
		  <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Koshy</surname>
            <given-names>Koshy M</given-names>
          </name>
		  <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Poongodi</surname>
            <given-names>Santhana Kumarasamy</given-names>
          </name>
		  <xref ref-type="aff" rid="aff1">1</xref>
		<xref ref-type="corresp" rid="cor1"/>  
        </contrib>
	<aff id="aff1"><label>1</label>Department of Microbiology &amp; Virology, Tirunelveli Medical College, 627011 Tirunelveli, India</aff>	
      </contrib-group>
	 <author-notes>
<corresp id="cor1"><italic>Author for correspondence:</italic> <email>poongodi_lakshmi@tvmc.ac.in</email></corresp>

</author-notes>



<pub-date pub-type="epub">
<day>20</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>8</volume>
<issue>2</issue>
<fpage>7</fpage>
<lpage>10</lpage>
<history>
<date date-type="received">
<day>17</day>
<month>10</month>
<year>2024</year></date> 
</history>
<permissions>
<copyright-statement><italic>Copyright:</italic> The Author(s). Published by Troika Publisher.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p><italic>License:</italic> This open access article is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link></license-p>
</license>
</permissions> 
     <abstract>  
       <p><bold>Background</bold>: In India, a broad range of prevalence of Hepatitis C virus 
(HCV) infection in hemodialysis (HD) patients was reported. Variations in 
screening methods and regional differences in the HCV genome render challenges in 
the accurate detection of HCV. In this background, the present study was 
undertaken to assess the prevalence of HCV by HCV RNA PCR (Ribose nucleic acid 
Polymerase Chain Reaction) and HCV antibody detection by immunochromatography 
(ICT) and ELISA (Enzyme Linked Immuno-Sorbent Assay). <bold>Methods</bold>: A total 
of 50 patients with chronic kidney disease (CKD) on maintenance HD for more than 
six months were included in the study. Blood sample was collected and subjected 
to HCV RNA PCR, and HCV antibody by ICT and ELISA. <bold>Results</bold>: Of the 50 
samples tested, ICT for HCV antibody was detected in 22 (44%) patients. They 
were positive for ELISA also. HCV RNA was positive in 15 (30%) patients. PCR 
positive was also positive for HCV antibody. <bold>Conclusions</bold>: This study 
concludes, that HCV antibody screening should be performed monthly and RNA PCR 
once every three months among HD patients.</p>  
     </abstract><kwd-group kwd-group-type="author"> 
<kwd>Hepatitis C virus</kwd> 
<kwd>Hemodialysis</kwd> 
<kwd>Antibody detection</kwd> 
<kwd>Molecular method</kwd> 
</kwd-group>  
<funding-group>
		<award-group>
		<funding-source>05032/Tamilnadu
State Research Committee/PCD</funding-source>
		</award-group>		
	</funding-group>
   </article-meta>  
 </front>  
 <body>  
   <sec id="S1" sec-type="intro">  
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     <title>Introduction</title>  
     <p>Hepatitis C virus (HCV) is the most common infection which causes constant 
public health threats among patients on maintenance hemodialysis (HD) owing to 
its high risk of progression to chronic liver disease, aftereffects in renal 
transplantation and resulting in death. The prevalence of HCV infection varies 
widely in different geographic locations globally. In India, a very broad range 
of prevalence of HCV infection in HD patients was reported [<xref ref-type="bibr" rid="b1">1</xref>]. Because dialysis 
procedures carry a risk of HCV exposure, they are more likely to acquire 
infection. Unlike with hepatitis B, there is no vaccine available for HCV. 
Variations in screening methods and regional differences in the HCV genome render 
challenges in the accurate detection of HCV [<xref ref-type="bibr" rid="b2">2</xref>]. However, there is a paucity of 
studies on the prevalence of HCV by PCR among HD patients. In this background, 
the present study was undertaken to assess the prevalence of HCV by HCV RNA PCR 
and HCV antibody detection by immunochromatography (ICT) and ELISA. In addition, 
this study assessed the risk factors associated with the transmission of HCV 
among these high-risk populations.</p>  
   </sec>  
   <sec id="S2" sec-type="material|method">  
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     <title>Material and methods</title>  
     <p>This descriptive cross-sectional study was conducted in the Department of Microbiology &amp; Virology, Tertiary Care Hospital for a period of six months between May and 
October 2023. A total of 50 patients with CKD on maintenance HD for more than six 
months were included in the study. Socio-demographic data such as age, gender, 
duration of illness, history of jaundice, blood transfusion, and details of 
co-morbid illness of these patients were collected using a detailed proforma. 
Each participant was allotted a unique laboratory ID. Under sterile aseptic 
precautions, 5 mL of venous blood was collected, and the serum was utilized for 
ICT (9557TG, Bioline Diagnostics, Mumbai, India) and ELISA (ErbaLISA HCV GEN 3 
(v2), TCG 32203, Transasia Bio-Medicals, Daman, India). Another 5 mL of blood was 
collected in an EDTA (Ethylene Diamine Tetra-acetic Acid) tube used for molecular 
study (CP00003-C-0522001, MyLab Discovery solutions, Pune, India) and the samples 
were stored at &#x2212;80 &#x2103; until the tests were performed.</p>  
     <sec id="S2_1">  
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       <title>Statistical analysis</title>  
       <p>Data obtained was entered in Microsoft Excel and results were analyzed using the 
SPSS software version 27.0, IBM Corporation, Armonk, NY, USA. Mean and standard 
deviation were calculated for continuous variables, and data for categorical 
variables were expressed as percentages. Statistical analyses were performed 
using the Chi-Square test and Fisher&#x2019;s exact test for the categorical values. 
Statistical significance was calculated with a probability value 
(<italic>p</italic>-value) of less than 0.05.</p>  
     </sec>  
     <sec id="S2_2">  
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       <title>Inclusion criteria</title>  
       <p>Patients &gt;18 years of age who have undergone HD for more than six months.</p>  
     </sec>  
     <sec id="S2_3">  
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       <title>Exclusion criteria</title>  
       <p>Patients who have undergone HD for less than six months.</p>  
       <p>Pregnant women were excluded from the study.</p>  
       <p>Patients who were HCV positive before the study period.</p>  
     </sec>  
   </sec>  
   <sec id="S3" sec-type="results">  
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     <title>Results</title>  
     <p>Of the 50 patients, 29 (58%) were between 38&#x2013;57 years. 37 (74%) were male. 
The mean age of the study participants was 41.3 &#xB1; 13.47 years. History of 
blood transfusion was recorded in 11 (22%). Comorbid conditions such as diabetes 
and hypertension were noted in 15 (30%). The frequency of HD &gt;3 sessions/week 
was reported in 36 (72%) participants (<xref ref-type="table" rid="T1">Table 1</xref>).</p>  
     <table-wrap id="T1" orientation="portrait" position="float">
	 <label>Table 1.</label><caption><p><bold>Basic characteristics of the haemodialysis patients.</bold></p></caption><!-- The element tags   
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<table frame="border" rules="all">
<thead valign="top">
<tr> 
<th>Categories</th> 
<th>Variables</th> 
<th align="center">HCV-negative patients (n = 26)</th> 
<th align="center">HCV-positive patients (n = 24) (%)</th> 
<th align="center"><italic>p</italic>-value &lt; 0.05</th></tr> 
</thead>
<tbody valign="top">
<tr> 
<td colspan="5">Gender</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Male</td> 
<td align="center">18</td> 
<td align="center">19 (79.2)</td> 
<td rowspan="2">0.423581, Not significant</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Female</td> 
<td align="center">8</td> 
<td align="center">5 (20.8)</td></tr> 
<tr> 
<td colspan="5">Age group (yr)</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">18&#x2013;37</td> 
<td align="center">9</td> 
<td align="center">7 (29.2)</td> 
<td align="center">-</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">38&#x2013;57</td> 
<td align="center">13</td> 
<td align="center">16 (66.6)</td> 
<td align="center">-</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">&#8805;58</td> 
<td align="center">4</td> 
<td align="center">1 (4.2)</td> 
<td align="center">-</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Mean &#xB1; SD</td> 
<td align="center">40.00 &#xB1; 15.77</td> 
<td align="center">42.71 &#xB1; 10.96</td> 
<td align="center"></td></tr> 
<tr> 
<td colspan="5">Co-morbid conditions</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">SHT alone</td> 
<td align="center">14</td> 
<td align="center">14 (58.3)</td> 
<td align="center">-</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">DM alone</td> 
<td align="center">0</td> 
<td align="center">0</td> 
<td align="center">-</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">SHT &amp; DM</td> 
<td align="center">7</td> 
<td align="center">8 (33.3)</td> 
<td align="center">-</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">No comorbidity</td> 
<td align="center">5</td> 
<td align="center">2 (8.3)</td> 
<td align="center">-</td></tr> 
<tr> 
<td colspan="5">Blood transfusion</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Yes</td> 
<td align="center">8</td> 
<td align="center">3 (12.5)</td> 
<td rowspan="2">0.1754, Not significant</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">No</td> 
<td align="center">18</td> 
<td align="center">21 (87.5)</td></tr> 
<tr> 
<td colspan="5">Duration of HD</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">6 to 12 mon</td> 
<td align="center">11</td> 
<td align="center">19 (79.0)</td> 
<td rowspan="2">0.0101, Significant</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">&#8805;13 mon</td> 
<td align="center">15</td> 
<td align="center">5 (21.0)</td></tr> 
<tr> 
<td colspan="5">Frequency of HD</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">&#8804;2 sessions/wk</td> 
<td align="center">5</td> 
<td align="center">9 (37.5)</td> 
<td rowspan="2">0.2109, Not significant</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">&#8805;3 sessions/wk</td> 
<td align="center">21</td> 
<td align="center">15 (62.5)</td></tr> 
<tr> 
<td colspan="5">AST</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Elevated</td> 
<td align="center">1</td> 
<td align="center">9 (37.5)</td> 
<td rowspan="2">0.004, Significant</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Normal</td> 
<td align="center">25</td> 
<td align="center">15 (62.5)</td></tr> 
<tr> 
<td colspan="5">ALT</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Elevated</td> 
<td align="center">2</td> 
<td align="center">9 (37.5)</td> 
<td rowspan="2">0.0164, Significant</td></tr> 
<tr> 
<td align="center"></td> 
<td align="center">Normal</td> 
<td align="center">24</td> 
<td align="center">15 (62.5)</td></tr> 
</tbody> 
</table>
<table-wrap-foot>
<fn id="TF1-1"><p>SHT: systemic hypertension; DM: diabetes mellitus; SD: Standard deviation; HCV: 
Hepatitis C Virus; HD: Hemodialysis; AST: Aspartate aminotransferase; ALT: 
Alanine aminotransferase.</p></fn></table-wrap-foot>
</table-wrap>  
     <p>The mean age of HCV-positive patients was 42.71 &#xB1; 10.96 years. History of 
blood transfusion in three (12.5%) and comorbid conditions such as both diabetes 
and hypertension in eight (33%) and hypertension alone in 14 (58%) were 
observed among the HCV-positive individuals. Nine (20%) had Alanine 
aminotransferase (ALT) &gt;40 IU/mL and Aspartate aminotransferase (AST) &gt;35 
IU/mL. The frequency of HD &gt;3 sessions/week was noted in 15 (63%) of 
HCV-positive patients (<xref ref-type="table" rid="T1">Table 1</xref>).</p>  
     <p>Of the 50 samples tested, ICT for HCV antibody was detected in 22 (44%) 
patients. They were positive for HCV antibody by ELISA also. HCV RNA was positive 
in 15 (30%) patients of which 13 were positive and 2 were negative by ELISA/ICT. 
PCR positive was also positive for HCV antibody (<xref ref-type="table" rid="T2">Table 2</xref>). There was no 
discordance observed between ELISA &amp; ICT in detecting the HCV antibodies. The 
sensitivity and specificity of the ICT and ELISA used were 59.1% and 92.9% 
respectively and the positive predictive and negative predictive values were 
86.7% and 74.3% respectively in comparison with the gold standard method of HCV 
RNA testing. The Chi-square test value is 0.000069 with Kappa Coefficient of 
0.538. These results indicate moderate agreement between RT-PCR (Reverse 
Transcriptase-Polymerase Chain Reaction) and ELISA &amp; ICT for HCV testing. The 
mean duration of HD among HCV-positive cases was 11.79 &#xB1; 3.82 months. There 
is a statistical association between duration of HD and HCV seropositivity.</p>  
     <table-wrap id="T2" orientation="portrait" position="float">
	 <label>Table 2.</label><caption><p><bold>Association between RT-PCR, ELISA &amp; ICT in HCV.</bold></p></caption><!-- The element tags   
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<table frame="border" rules="all">
<thead valign="top"> 
<tr> 
<th>RT-PCR</th> 
<th colspan="2" align="center">ELISA &amp; ICT</th> 
<th align="center">Total</th></tr> 
<tr> 
<th/> 
<th align="center">Positive</th> 
<th align="center">Negative</th> 
<th></th></tr> 
</thead>
<tbody valign="top">
<tr> 
<td>Positive</td> 
<td align="center">13</td> 
<td align="center">2</td> 
<td align="center">15</td></tr> 
<tr> 
<td>Negative</td> 
<td align="center">9</td> 
<td align="center">26</td> 
<td align="center">35</td></tr> 
<tr> 
<td>Total</td> 
<td align="center">22</td> 
<td align="center">28</td> 
<td align="center">50</td></tr> 
</tbody> 
</table>
<table-wrap-foot>
<fn id="TF1-1"><p>RT-PCR: Reverse Transcriptase-Polymerase Chain Reaction; ELISA: Enzyme Linked 
ImmunoSorbent Assay; ICT: Immuno-Chromatographic Test.</p></fn></table-wrap-foot>
</table-wrap>  
   </sec>  
   <sec id="S4" sec-type="discussion">  
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     <title>Discussion</title>  
     <p>Patients with end-stage renal disease (ESRD) who have HCV infection have been 
linked to higher rates of morbidity and mortality as well as further 
complications following renal transplantation [<xref ref-type="bibr" rid="b1">1</xref>]. Worldwide estimates recorded 
that between 4.7 and 10.9 million people in India had HCV viremia in 2015, with a 
prevalence rate of 0.5%. Based on anti-HCV antibodies, a meta-analysis of 327 
studies estimated that the prevalence rate of HCV in India was 0.85% in the 
general population, 0.44% in asymptomatic blood donors, and 0.88% in pregnant 
women. The prevalence rate among attendees of sexually transmitted disease 
clinics was recorded as 3.5&#x2013;44.7% [<xref ref-type="bibr" rid="b3">3</xref>].</p>  
     <p>Risk factors associated with HCV infection among dialysis patients include cross 
infections due to sharing of dialysis machines, reprocessing of dialyzers, longer 
duration of dialysis, bloodlines, repeated blood transfusions, HIV, hepatitis B 
virus, history of cirrhosis and glomerulonephritis [<xref ref-type="bibr" rid="b4">4</xref>]. Three persons (12.5%) 
had a history of blood transfusion among HCV-positive cases. It was statistically 
not significant among HCV-positive and negative cases. In this centre, sharing 
dialysis machines and reprocessing of dialyzers are practised routinely. The most 
common comorbid condition noted was hypertension in 22 (92%) cases. Altinawe 
<italic>et al</italic>. [<xref ref-type="bibr" rid="b5">5</xref>] reported that 84% of HCV positives had hypertension.</p>  
     <p>Centre for Disease Control (CDC) advises persons at increased risk of HCV 
infection should be screened routinely. HCV antibody detection by ICT/ELISA 
failed to detect all the cases in the acute phase of infection [<xref ref-type="bibr" rid="b6">6</xref>]. The window 
period in the HD patients may be prolonged, because of the immunocompromised 
state, leading to false negative results. Seroconversion to HCV antibodies may 
not occur in all HD patients, as stated by Dharmesti <italic>et al</italic>. [<xref ref-type="bibr" rid="b7">7</xref>]. Hence, a reactive, indeterminate, equivocal, weakly reactive antibody detection 
method should be confirmed by HCV RNA detection in serum. Whereas, the 
demonstration of HCV RNA in hepatocytes or peripheral blood mononuclear cells 
should be performed to rule out occult HCV infection [<xref ref-type="bibr" rid="b8">8</xref>]. Due to the high PCR 
assay cost, repeated PCR testing among HD patients is limited resulting in a high 
rate of false negatives.</p>  
     <p>Most of the Indian studies perform HCV antibody by ICT/ELISA, reported a 
prevalence of 1.38&#x2013;12.4% among HD patients in the last decade. Data on the 
prevalence of HCV by PCR is scarce [<xref ref-type="bibr" rid="b9">9</xref>]. Reddy <italic>et al</italic>. [<xref ref-type="bibr" rid="b10">10</xref>] and Medhi 
<italic>et al</italic>. [<xref ref-type="bibr" rid="b11">11</xref>] observed a prevalence of 13.23% and 17.2% among HD 
patients by HCV core antigen ELISA. In the present study, HCV antibody was 
detected in 22 (44%) patients which is concordant to study by Kerollos 
<italic>et al</italic>. [<xref ref-type="bibr" rid="b12">12</xref>], stated 34.8% of HCV seroprevalence among HD patients. In 
the present study, high seroprevalence was noted due to the persistence of 
anti-HCV antibodies for a longer duration. HCV RNA was positive in 15 (30%) 
patients of which 13 were positive and 2 negative by ELISA/ICT. Studies mentioned 
that HCV viremia in HD patients is lower than that in HCV patients without kidney 
failure replacement therapy probably because of the destruction of viral 
particles by the HD procedure [<xref ref-type="bibr" rid="b13">13</xref>]. There are certain instances where an 
individual with an active HCV infection may have a negative HCV RNA. Viral load 
decreases during acute infection while anti-HCV titer increases, which may lead 
to negative HCV RNA [<xref ref-type="bibr" rid="b14">14</xref>].</p>  
     <p>Routine screening of dialysis patients by PCR-based methods, effective blood 
bank screening protocols, use of erythropoiesis-stimulating agents instead of 
blood transfusions and strict adherence to infection control measures in dialysis 
units will reduce the prevalence of HCV among HD patients. This study emphasizes 
all HD patients should undergo HCV antibody testing every month with RNA PCR once 
in three months.</p>  
     <p>PCR-positive samples were not sent for sequencing and genotyping due to 
financial constraints.</p>  
   </sec>  
   <sec id="S5" sec-type="conclusions">  
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     <title>Conclusions</title>  
     <p>Of the 50 samples tested, ICT for HCV antibody was detected in 22 (44%) 
patients. They were also positive for ELISA. HCV RNA was positive in 15 (30%) 
patients. The most important risk factor observed in the study was renal failure 
requiring HD for a longer duration, sharing dialysis machines and reprocessing of 
dialyzers are practised routinely. Hence, this study concludes that HCV antibody 
screening should be performed monthly and RNA PCR once every three months among 
HD patients.</p>  
   </sec>  
 
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     <title>Availability of data and materials</title>  
     <p>The data are contained within this article.</p>  
   </sec>  
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     <title>Author contributions</title>  
     <p>AI and SKP&#x2014;designed the research study, wrote the manuscript and analysed the 
data. GV&#x2014;wrote the manuscript. KMK&#x2014;provided help and advice on the 
preparation of the manuscript. All authors contributed to editorial changes in 
the manuscript. All authors read and approved the final manuscript.</p>  
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     <title>Ethics approval and consent to participate</title>  
     <p>Written informed consent was obtained from all the participants using the form 
approved by the Institutional Ethics Committee of Tirunelveli Medical College, 
Tirunelveli, Tamilnadu, India (TIREC ID: 20232686, dated 21 March 2023) before 
the study commencement.</p>  
   </sec>  
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     <title>Acknowledgment</title>  
     <p>We thank all the Laboratory Technicians for sample processing and testing. No 
contributor has been omitted.</p>  
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     <title>Funding</title>  
     <p>This work was supported by The 
Tamilnadu State Research Committee, King Institute of Preventive Medicine and 
Research, Guindy, Chennai, Tamilnadu (Grant No: 05032/Tamilnadu State Research 
Committee/PCD/2022-2023, dated: 17 February 2023).</p>  
   </sec>  
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     <title>Conflict of interest</title>  
     <p>The authors declare no potential conflicts of 
interest with respect to research, authorship and/or publication of this article.</p>  
   </sec>  
   </ack> 
   <fn-group>
<fn id="fn1"><p><italic>How to cite:</italic> Ananthapadmanabasamy Indira, Gomathinayagam Velvizhi, Koshy M Koshy, Santhana Kumarasamy Poongodi. Chaos in the diagnosis of
hepatitis C virus in hemodialysis patients. Journal of Renal and Hepatic Disorders. 2024; 8(2): 7-10. doi: 10.63268/jrenhp.v8i2.207.</p></fn></fn-group>
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