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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.v10i2.254</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Diagnosis of hepatitis C virus among hemodialysis patients&#x2014;which is the ideal method?</article-title>
</title-group>

<contrib-group content-type="authors">

<contrib contrib-type="author">
<name>
<surname>Thangavelu</surname> 
<given-names>Renuka Sankaramoorthy</given-names></name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>

<contrib contrib-type="author">
<name>
<surname>Santhana Kumarasamy</surname> 
<given-names>Poongodi</given-names></name>
<xref ref-type="aff" rid="aff1">1</xref>
<xref ref-type="corresp" rid="cor1"/>
</contrib>

<contrib contrib-type="author">
<name>
<surname>Kanthiah</surname> 
<given-names>Subha</given-names></name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>

<contrib contrib-type="author">
<name>
<surname>Ramu</surname> 
<given-names>Poornakala</given-names></name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>

<aff id="aff1"><label>1</label>Department of Microbiology, 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>09</day>
<month>09</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="collection"><year>2026</year></pub-date>
<volume>10</volume>
<issue>2</issue>
<fpage>1</fpage>
<lpage>6</lpage>
<history>
<date date-type="received">
<day>12</day>
<month>11</month>
<year>2025</year></date> 
<date date-type="accepted">
<day>08</day>
<month>01</month>
<year>2026</year></date> 
</history>
<permissions>
<copyright-statement><italic>Copyright:</italic> The Author(s). Published by Troika Publisher.</copyright-statement>
<copyright-year>2026</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>: Globally, it was estimated that hemodialysis (HD) was 
required in 3.9 million persons with kidney failure in 2017. The global 
prevalence of Hepatitis C virus (HCV) in the general population is approximated 
at 0.7% worldwide, and it varies from 1% to 85% in different countries among 
patients undergoing hemodialysis (HD). This study highlights the diagnostic 
efficacy of Immunochromatography test (ICT), fourth generation Enzyme-linked 
immunosorbent assay (ELISA) which determines anti-HCV antibodies and HCV core 
antigen, Real-time polymerase chain reaction (RT-PCR) for diagnosis of HCV 
infection in chronic HD patients and also assesses the impact of other factors 
including age, sex, length of dialysis, number of blood transfusions, and serum 
transaminases levels. <bold>Methods</bold>: Seventy-five patients diagnosed with 
end-stage renal disease (ESRD), who had been receiving HD for more than six 
months, were included. Blood samples were collected and subsequently analyzed for 
the presence of anti-HCV antibodies using an ICT, a fourth-generation ELISA, and 
RT-PCR. <bold>Results</bold>: Of the 75 samples tested, ICT, fourth-generation ELISA 
and RT-PCR were positive in eight (11%), 12 (16%), and 22 (29%) respectively. 
<bold>Conclusions</bold>: Solely screening for HCV antibodies is often not sufficient 
to exclude HCV infection in HD patients. Furthermore, HD patients do not always 
have detectable HCV RNA. Hence, close monitoring and stringent infection control 
practices are imperative to mitigate the transmission of HCV.</p>  
     </abstract>
<kwd-group> 
<kwd>Enzyme-linked immunosorbent assay</kwd> 
<kwd>Hemodialysis</kwd> 
<kwd>Hepatitis C virus</kwd> 
<kwd>Immunochromatography test</kwd> 
<kwd>Reverse transcriptase polymerase chain reaction</kwd> 
</kwd-group>  
  
   </article-meta>  
 </front>  
 <body>  
   <sec id="S1" sec-type="intro">  
  
     <title>Introduction</title>  
     <p>Individuals suffering from end-stage renal disease (ESRD) frequently receive 
hemodialysis (HD) as a form of renal replacement therapy. HD was estimated to be 
necessary for 2.1 million patients globally in 2012, rising to 3.9 million in 
2017, and this figure will probably increase by 7% yearly [<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>]. The World 
Health Organization (WHO) reports that over 3% of the global population is 
infected with the Hepatitis C virus (HCV) [<xref ref-type="bibr" rid="ref3">3</xref>]. The prevalence of HCV varies from 
1% to 85% in different countries among patients undergoing HD due to underlying 
compromised cellular immunity, which makes them more vulnerable to infection [<xref ref-type="bibr" rid="ref4">4</xref>]. 
The estimated prevalence of HCV in India ranges from 1% to 1.9% and, owing to 
the country&#x2019;s substantial population, it raises public health concerns. In India, 
acute viral hepatitis due to HCV accounts for up to 1.16&#x2013;10.6% [<xref ref-type="bibr" rid="ref5">5</xref>]. Globally, 
the WHO statistics indicate that 58 million individuals are affected with chronic 
hepatitis C infection [<xref ref-type="bibr" rid="ref6">6</xref>]. Over 20 years, 10&#x2013;20% of chronic HCV infection 
progressed to cirrhosis, which may further worsen to decompensated cirrhosis and 
hepatocellular carcinoma (HCC) in later life. Factors contributing to HCV 
infection include patient age, immune response, severity of hepatic inflammation, 
co-infection with human immunodeficiency virus (HIV) or hepatitis B virus (HBV), 
and lifestyle behaviours like consumption of alcohol [<xref ref-type="bibr" rid="ref5">5</xref>]. Routinely HCV screening 
among HD patients is performed using an immunochromatography test (ICT) or third 
generation ELISA to detect anti-HCV antibodies. Due to the immunocompromised 
state in HD patients, the window period of HCV infection is prolonged compared to 
that of normal individuals, rendering high-false negative results. Real time 
polymerase chain reaction (RT-PCR) which is the gold standard test should be 
performed to confirm the infection [<xref ref-type="bibr" rid="ref7">7</xref>]. This study highlights the diagnostic 
efficacy of immunochromatography test, fourth generation enzyme-linked 
immunosorbent assay (ELISA) which detects anti-HCV antibody and HCV core antigen, 
real time polymerase chain reaction (RT-PCR) in diagnosing Hepatitis C infection 
among chronic HD patients and also assesses the impact of other factors including 
age, sex, length of dialysis, number of blood transfusions, and serum 
transaminases levels.</p>  
   </sec>  
   <sec id="S2" sec-type="material|method">  
  
     <title>Materials and methods</title>  
     <p>This cross-sectional diagnostic accuracy study was undertaken in the Department 
of Microbiology, spanning from March to December 2023. The study included 75 
individuals above 13 years of age with chronic renal disease who had been on HD 
for more than six months. A comprehensive proforma was used to collect 
sociodemographic information such as age and gender, duration of illness, 
previous occurrences of jaundice, a record of blood transfusions, and specific 
characteristics of co-morbid conditions. A distinct laboratory ID was given to 
every participant. 5 mL of venous blood were drawn using sterile aseptic 
procedures, and the serum was used for ELISA (TCG42206, Erbalisa HCV Gen 4 
Antigen (Ag) + Antibody (Ab), TransAsia Bio-Medicals Ltd, Daman, India) and 
immuno-chromatography test (HCV Rapid Test, 
9557TG, Bio line Diagnostics, Mumbai, India). An additional 5 mL of blood 
was collected into an Ethylenediaminetetraacetic Acid (EDTA) tube intended for 
HCV RNA PCR (MyLab Discovery solutions, Pune, India), and the samples were kept 
at &#x2212;80 &#x2103; until the tests were conducted. The tests were performed in accordance 
with the manufacturer&#x2019;s specified protocols. Patients under HD for more than 6 
months and aged over 13 years were included in the study. The patients previously 
positive for HCV or on empirical antiviral therapy and those with hepatitis B 
co-infection were not enrolled in the study.</p>  
     <p>The findings of the study outcome were statistically examined for accuracy, 
completeness, and consistency using metrics like mean and percentages. Three 
diagnostic techniques were compared for the degree of agreement, and a kappa 
value was produced. Statistical comparisons of the Rapid ICT, ELISA, and RT-PCR 
findings were performed using McNemar&#x2019;s χ<sup>2</sup> test. The Chi square test 
and student <italic>t</italic>-test were used to perform the statistical analyses. All 
statistical operations were conducted using IBM SPSS software, version 29.0 (IBM 
Corp., Armonk, NY, USA). Statistical significance was defined as a probability 
value (<italic>p</italic>-value) of less than 0.05.</p>  
   </sec>  
   <sec id="S3" sec-type="results">  
  
     <title>Results</title>  
     <p>The study population consisted of 75 patients, comprising 42 (56%) males and 33 
(44%) females. A significant statistical correlation was noted in this study 
between gender and HCV infection (<xref ref-type="table" rid="T1">Table 1</xref>). Among the 75 patients, 34 (45%) 
belonged to the age group of 21 to 40 years. All 75 patients were tested for HCV 
ICT, ELISA, and HCV RNA PCR. Among the 75 samples tested, 8 (11%), 12 (16%), 
and 22 (29%) were positive with ICT, ELISA, and HCV RNA PCR assays (<xref ref-type="table" rid="T2">Table 2</xref>). Of 
the 75 patients, 28 tested positive for HCV. Males showed the highest positivity 
of 21 (75%) compared to females, 7 (25%). The greatest proportion of positive 
cases 14 (50%) were found to be between the ages of 21 and 40, followed by 
41&#x2013;60 years with 10 (36%). The mean age of HCV-positive cases was 39.1 &#xB1; 
13.2 years (<xref ref-type="table" rid="T1">Table 1</xref>). Comorbid conditions like hypertension alone in 12 (43%) 
and both diabetes and hypertension in eight (28%) were observed among the 
HCV-positive individuals. Among the positive cases, 14 (50%) had received 
dialysis for a period of 20 to 30 months, 18 (64%) underwent dialysis at 
multiple centers, and 12 (43%) of them received dialysis twice a week. Among 
individuals diagnosed with HCV, the average duration of HD was determined to be 
21.32 &#xB1; 5.9 months. Of the HCV-positive cases, 5 (18%) had multiple blood 
transfusions, and 23 (82%) had elevated Aspartate aminotransferase (AST) &gt;35 
IU/mL and Alanine aminotransferase (ALT) levels &gt;40 IU/mL (<xref ref-type="table" rid="T1">Table 1</xref>). When 
compared to RT-PCR, the rapid ICT demonstrated a sensitivity of 22.7%, a 
specificity of 94.3%, a positive predictive value (PPV) of 62.5%, and a 
negative predictive value (NPV) of 74.6% (<xref ref-type="table" rid="T3">Table 3</xref>). The Fourth Generation ELISA 
test, when compared to RT-PCR, also showed a sensitivity of 27.3% and a 
specificity of 88.7%, with a PPV of 50% and an NPV of 74.6% (<xref ref-type="table" rid="T3">Table 3</xref>). 
Furthermore, a direct comparison of ICT against the Fourth Generation ELISA in 
<xref ref-type="table" rid="T4">Table 4</xref> shows that, the ICT had a sensitivity of 66.7% and a specificity of 
100%. The kappa value measuring the degree of agreement between ICT and ELISA 
was 0.771 (<italic>p</italic>-value &lt; 0.0001).</p>  

<table-wrap id="T1" orientation="portrait" position="float">
<label>Table 1.</label>
<caption>
<p>Socio-demographic details of the study participants.</p></caption>	 
<table frame="border" rules="all">
<thead valign="top"> 
<tr> 
<td align="left">Categories</td> 
<td align="center">Variables</td> 
<td align="center">HCV-Positive<br/> (n = 28) (%)</td> 
<td align="center">HCV-Negative<br/> (n = 47)</td> 
<td align="center"><italic>p</italic>-value</td></tr>
</thead>
<tbody valign="top"> 
<tr> 
<td align="left" colspan="5">Gender</td> </tr> 
<tr> 
<td align="left"></td> 
<td align="center">Male</td> 
<td align="center">21 (75)</td> 
<td align="center">21</td> 
<td rowspan="2" valign="middle" align="center">0.0105<br/> Significant<br/> OR = 3.71</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Female</td> 
<td align="center">7 (25)</td> 
<td align="center">26</td></tr> 
<tr> 
<td colspan="5" align="left">Age in years</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">&lt;20 yr</td> 
<td align="center">2 (7)</td> 
<td align="center">3</td> 
<td rowspan="5" valign="middle" align="center">0.5929<br/> Not Significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">21&#x2013;40 yr</td> 
<td align="center">14 (50)</td> 
<td align="center">20</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">41&#x2013;60 yr</td> 
<td align="center">10 (36)</td> 
<td align="center">20</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">&gt;61 yr</td> 
<td align="center">2 (7)</td> 
<td align="center">4</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Mean age</td> 
<td align="center">39.1 &#xB1; 13.2</td> 
<td align="center">40.57 &#xB1; 13.0</td></tr> 
<tr> 
<td colspan="5" align="left">Co-morbidities</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">HTN</td> 
<td align="center">12 (43)</td> 
<td align="center">11</td> 
<td rowspan="6" valign="middle" align="center">-</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">DM</td> 
<td align="center">3 (12)</td> 
<td align="center">13</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">HTN with DM</td> 
<td align="center">8 (28)</td> 
<td align="center">6</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Congenital/Obstruction</td> 
<td align="center">2 (7)</td> 
<td align="center">11</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">CIN</td> 
<td align="center">2 (7)</td> 
<td align="center">4</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">CGN</td> 
<td align="center">1 (3)</td> 
<td align="center">2</td></tr> 
<tr> 
<td colspan="5" align="left">Duration of HD (in mon)</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">&lt;10</td> 
<td align="center">1 (4)</td> 
<td align="center">7</td> 
<td rowspan="4" valign="middle" align="center">&lt;0.001<br/> Significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">11&#x2013;20</td> 
<td align="center">11 (39)</td> 
<td align="center">30</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">21&#x2013;30</td> 
<td align="center">14 (50)</td> 
<td align="center">7</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">&gt;31</td> 
<td align="center">2 (7)</td> 
<td align="center">3</td></tr> 
<tr> 
<td colspan="5" align="left">Number of dialysis centres</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">1</td> 
<td align="center">10 (36)</td> 
<td align="center">39</td> 
<td rowspan="3" valign="middle" align="center">&lt;0.001<br/> Significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">2</td> 
<td align="center">14 (50)</td> 
<td align="center">7</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">3</td> 
<td align="center">4 (14)</td> 
<td align="center">1</td></tr> 
<tr> 
<td colspan="5" align="left">Frequency of HD/wk</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Once</td> 
<td align="center">6 (21)</td> 
<td align="center">15</td> 
<td rowspan="3" valign="middle" align="center">0.9729<br/> Not significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Twice</td> 
<td align="center">12 (43)</td> 
<td align="center">18</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Thrice</td> 
<td align="center">10 (36)</td> 
<td align="center">14</td></tr> 
<tr> 
<td colspan="5" align="left">Blood Transfusion in times</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">&lt;5</td> 
<td align="center">1 (3)</td> 
<td align="center">2</td> 
<td rowspan="4" valign="middle" align="center">0.547<br/> Not significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">6&#x2013;10</td> 
<td align="center">1 (3)</td> 
<td align="center">1</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">&gt;11</td> 
<td align="center">3 (12)</td> 
<td align="center">3</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Nil</td> 
<td align="center">23 (82)</td> 
<td align="center">41</td></tr> 
<tr> 
<td colspan="5" align="left">AST</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Normal</td> 
<td align="center">5 (18)</td> 
<td align="center">42</td> 
<td rowspan="2" valign="middle" align="center">&lt;0.001<br/> Significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Elevated</td> 
<td align="center">23 (82)</td> 
<td align="center">5</td></tr> 
<tr> 
<td colspan="5" align="left">ALT</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Normal</td> 
<td align="center">5 (18)</td> 
<td align="center">42</td> 
<td rowspan="2" valign="middle" align="center">&lt;0.001<br/> Significant</td></tr> 
<tr> 
<td align="left"></td> 
<td align="center">Elevated</td> 
<td align="center">23 (82)</td> 
<td align="center">5</td></tr>
</tbody>
<table-wrap-foot>
<fn id="TF1-1"><p>HCV: Hepatitis C virus; OR: Odd&#x2019;s Ratio; HTN: Hypertension; DM: Diabetes 
Mellitus; CIN: Chronic Interstitial Nephritis; CGN: Chronic Glomerular Nephritis; 
HD: Hemodialysis; AST: Aspartate Aminotransferase; ALT: Alanine Aminotransferase.</p></fn></table-wrap-foot></table>
</table-wrap>
  

<table-wrap id="T2" orientation="portrait" position="float">
<label>Table 2.</label>
<caption>
<p>Distribution of assay positivity among the study participants.</p></caption>	 
<table frame="border" rules="all">
<thead valign="top"> 
<tr> 
<td align="left">Assays</td> 
<td align="center">Positives<br/> (n = 28)</td></tr> 
</thead>
<tbody valign="top">
<tr> 
<td align="left">Only ICT</td> 
<td align="center">0</td></tr> 
<tr> 
<td align="left">Only ELISA</td> 
<td align="center">3</td></tr> 
<tr> 
<td align="left">Only PCR</td> 
<td align="center">16</td></tr> 
<tr> 
<td align="left">ICT &amp; ELISA</td> 
<td align="center">3</td></tr> 
<tr> 
<td align="left">ICT &amp; RT-PCR</td> 
<td align="center">0</td></tr> 
<tr> 
<td align="left">ELISA &amp; RT-PCR</td> 
<td align="center">1</td></tr> 
<tr> 
<td align="left">ICT + ELISA + RT-PCR</td> 
<td align="center">5</td></tr> 
</tbody>
<table-wrap-foot>
<fn id="TF1-1"><p>ICT: Immunochromatography test; ELISA: Enzyme-linked immunosorbent assay; PCR: 
polymerase chain reaction; RT-PCR: Real-time polymerase chain reaction.</p></fn></table-wrap-foot></table>
</table-wrap>
  

<table-wrap id="T3" orientation="portrait" position="float">
<label>Table 3.</label>
<caption>
<p>Evaluation of ICT and ELISA with gold standard test RT-PCR.</p></caption>	 
<table frame="border" rules="all">
<thead valign="top"> 
<tr> 
<td colspan="2">Assay</td> 
<td colspan="2" align="center">RT-PCR</td> 
<td align="center">Total</td></tr> 
<tr> 
<td/> 
<td/> 
<td align="center">Positive</td> 
<td align="center">Negative</td> 
<td align="center"></td></tr> 
</thead> 
<tbody valign="top">
<tr> 
<td colspan="5" align="left">ICT</td></tr> 
<tr> 
<td/> 
<td align="center">Positive</td> 
<td align="center">5</td> 
<td align="center">3</td> 
<td align="center">8</td></tr> 
<tr> 
<td/> 
<td align="center">Negative</td> 
<td align="center">17</td> 
<td align="center">50</td> 
<td align="center">67</td></tr> 
<tr> 
<td/> 
<td align="center">Total</td> 
<td align="center">22</td> 
<td align="center">53</td> 
<td align="center">75</td></tr> 
<tr> 
<td colspan="5" align="left">4th Gen ELISA</td></tr> 
<tr> 
<td/> 
<td align="center">Positive</td> 
<td align="center">6</td> 
<td align="center">6</td> 
<td align="center">12</td></tr> 
<tr> 
<td/> 
<td align="center">Negative</td> 
<td align="center">16</td> 
<td align="center">47</td> 
<td align="center">63</td></tr> 
<tr> 
<td/> 
<td align="center">Total</td> 
<td align="center">22</td> 
<td align="center">53</td> 
<td align="center">75</td></tr> 
<tr> 
<td colspan="5" align="left">ICT &amp; RT-PCR<br/> Sn: 5/22 (22.7%), Sp: 50/53 (94.3%), PPV: 5/8 (62.5%), NPV: 50/67 (74.6%)</td></tr> 
<tr> 
<td colspan="5" align="left">ELISA &amp; RT-PCR<br/> Sn: 6/22 (27.3%), Sp: 47/53 (88.7%), PPV: 6/12 (50%), NPV: 47/63 (74.6%)</td></tr>
</tbody>
<table-wrap-foot>
<fn id="TF1-1"><p>ICT: Immunochromatographic test; ELISA: Enzyme-linked Immunosorbent Assay; 
RT-PCR: Reverse transcriptase polymerase chain reaction; Sn: Sensitivity; Sp: 
Specificity; PPV: Positive Predictive Value; NPV: Negative Predictive Value.</p></fn></table-wrap-foot></table>
</table-wrap>
  

<table-wrap id="T4" orientation="portrait" position="float">
<label>Table 4.</label>
<caption>
<p>Correlation between rapid ICT and 4th Gen ELISA in HCV 
detection.</p></caption> 
<table frame="border" rules="all">
<thead valign="top">
<tr> 
<td colspan="2">Assay</td> 
<td colspan="2" align="center">4th Gen ELISA</td> 
<td align="center">Total</td></tr> 
<tr> 
<td/> 
<td/> 
<td align="center">Positive</td> 
<td align="center">Negative</td> 
<td align="center"></td></tr>
</thead>
<tbody valign="top"> 
<tr> 
<td colspan="5" align="left">ICT</td> 
</tr> 
<tr> 
<td/> 
<td align="center">Positive</td> 
<td align="center">8</td> 
<td align="center">0</td> 
<td align="center">8</td></tr> 
<tr> 
<td/> 
<td align="center">Negative</td> 
<td align="center">4</td> 
<td align="center">63</td> 
<td align="center">67</td></tr> 
<tr> 
<td/> 
<td align="center">Total</td> 
<td align="center">12</td> 
<td align="center">63</td> 
<td align="center">75</td></tr>
<tr> 
<td colspan="5" align="left">Sn: 8/12(66.7%), Sp: 63/63 (100%), PPV: 8/8 (100%), NPV: 63/67 (94%), Kappa value: 0.771, <italic>p</italic> &lt; 0.0001</td></tr> 
</tbody>
<table-wrap-foot>
<fn id="TF1-1"><p>Sn: Sensitivity; Sp: Specificity; PPV: Positive Predictive Value; NPV: Negative 
Predictive Value; ICT: Immunochromatographic test; ELISA: Enzyme-linked 
Immunosorbent Assay.</p></fn></table-wrap-foot></table>
</table-wrap>
  
   </sec>  
   <sec id="S4" sec-type="discussion">  
  
     <title>Discussion</title>  
     <p>After it enters the body, the virus may establish a latent phase, primarily due 
to suppression by the host immune system. But during the period of active viral 
replication, HCV replicates extremely quickly, and approximately 10<sup>12</sup> virus 
particles are produced every day. It has been stated that only 10&#x2013;15% of 
HCV-infected people exhibit symptoms. Spontaneous resolution is observed in 
25&#x2013;50% of symptomatic and 10&#x2013;15% of asymptomatic individuals [<xref ref-type="bibr" rid="ref5">5</xref>]. Hence, it 
is difficult to diagnose HCV among asymptomatic patients. Geographic differences 
in the HCV genome and variations in screening test create further chaos in 
accurate HCV testing [<xref ref-type="bibr" rid="ref7">7</xref>]. The duration of the window period exhibits variability 
based on the serological assay generation utilized, ranging from 66 days for 
conventional serology tests to merely four days when nucleic acid testing (NAT) 
is employed [<xref ref-type="bibr" rid="ref1">1</xref>]. The majority of the studies used anti-HCV antibodies as a 
diagnostic tool for HCV, which is unable to differentiate between resolved and 
active infections.</p>  
     <p>The lengthy serological window may also make it challenging to identify HCV 
infection by looking for anti-HCV antibodies, but viremia may develop even in the 
absence of HCV antibodies. Napoli <italic>et al</italic>. [<xref ref-type="bibr" rid="ref8">8</xref>] suggested that early diagnosis of HCV during its acute phase is crucial. A recent global data study substantiates this recommendation to reduce disease burden [<xref ref-type="bibr" rid="ref9">9</xref>].</p>  
     <p>Sravanthi K <italic>et al</italic>. [<xref ref-type="bibr" rid="ref10">10</xref>] reported that HCV positive was noted in 41.6% 
by RT-PCR and 21.66% by ELISA. This current study investigated the prevalence of 
HCV by ICT, fourth-generation ELISA and HCV PCR, which were eight (11%), 12 
(16%), and 22 (29%) respectively. In the present study, ICT showed only 66.7% 
sensitivity when compared with fourth-generation ELISA (<xref ref-type="table" rid="T4">Table 4</xref>). According to 
several studies, compared to NAT methods, HCV core antigen has demonstrated 
superior sensitivity and specificity, suggesting its potential as an alternative 
diagnostic approach in resource-limited settings [<xref ref-type="bibr" rid="ref8">8</xref>]. Hence, all HD patients 
should be monitored and screened for HCV ideally by HCV PCR. A study mentioned 
that among anti-HCV positive donors, undetectable HCV RNA was observed in 30% of 
the individuals from Australia. Hence, post-seroconversion or in states of 
remission, viral loads demonstrate extensive fluctuation and a notable decrease 
[<xref ref-type="bibr" rid="ref11">11</xref>]. Research indicates that HCV viremia is typically lower in HD patients than 
in infected individuals not on dialysis, potentially due to the degradation of 
viral particles during HD [<xref ref-type="bibr" rid="ref12">12</xref>]. Dharmesti <italic>et al</italic>. [<xref ref-type="bibr" rid="ref13">13</xref>] stated that 
seroconversion to HCV antibodies is not universally observed among HD patients.</p>  
     <p>While increased transaminase levels are commonly observed in HCV infection, this 
pattern is not consistently evident in chronic HD patients presenting with viral 
hepatitis. Hence, a modest increase in AST could serve as an early indicator of 
HCV seroconversion [<xref ref-type="bibr" rid="ref1">1</xref>]. Blood transfusions are a recognized mode of HCV 
transmission among CRF patients on HD.</p>  
     <p>Nosocomial transmission is attributable to inadequately sterilized medical 
equipment, including endoscopic devices, colonoscopy, angiographic and surgical 
instruments, which can increase the risk for HCV [<xref ref-type="bibr" rid="ref14">14</xref>]. This study identified the 
duration of dialysis and attendance at multiple dialysis centers as significant 
risk factors for HCV infection. HCV infection raises the mortality rate for HD 
patients with ESRD, lowers life expectancy, leads to renal allograft rejection 
and diminishes quality of life.</p>  
     <p>The low sensitivities and specificities of the rapid kits may be attributed to 
the low-level antibodies in the circulation, or the patients may be in the early 
stage of the infection, or may have low viral load [<xref ref-type="bibr" rid="ref15">15</xref>]. The prevalence of an 
infection affects the predictive values of the diagnostic assays. The PPV 
increases while the NPV decreases with an increase in the prevalence of an 
infection. As the prevalence of HCV varies within the country, it may influence 
the difference in the testing accuracy of both ICT and ELISA [<xref ref-type="bibr" rid="ref16">16</xref>].</p>  
     <p>Among the various immunoassays available, this study employed only the 
fourth-generation ELISA and did not include the third-generation ELISA for the 
detection of anti-HCV antibodies. As a result, a direct comparison of the 
sensitivity and specificity between the third- and fourth-generation ELISA assays 
could not be performed. Additionally, although qualitative PCR testing was 
conducted to confirm the presence of HCV RNA, genotyping of the virus was not 
carried out. The absence of comparative ELISA analysis and viral genotyping 
represents important methodological limitations of the study.</p>  
   </sec>  
   <sec id="S5" sec-type="conclusions">  
 
     <title>Conclusions</title>  
     <p>ICT assays are less sensitive, 5/22 (23%), than fourth-generation ELISA 6/22 
(27%) when compared with the gold standard RT-PCR method. Hence, screening for 
HCV antibodies alone is insufficient to definitely rule out HCV infection in HD 
patients. In addition, HD patients do not always have detectable HCV RNA. 
Further, there may not be an elevated transaminase level. Close monitoring and 
rigorous infection prevention and control measures must be implemented to 
mitigate the transmission of HCV.</p>  
   </sec>    
  
 </body>  
 <back>  
   <ack>
   <sec id="S6">  
  
     <title>Availability of data and materials</title>  
     <p>The data are contained within this article.</p>  
   </sec>  
   <sec id="S7">  
 
     <title>Author contributions</title>  
     <p>RST and PSK&#x2014;designed the research study, wrote the manuscript and analysed the 
data. SK&#x2014;wrote the manuscript. PR&#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>  
   </sec>  
   <sec id="S8">  
  
     <title>Ethics approval and consent to participate</title>  
     <p>The study was conducted after obtaining written informed consent from all 
participants, utilizing a form approved by the Institutional Ethics 
Committee-Certificate of registration and ethical approval by Institutional 
Research Ethics Committee-Tirunelveli Medical College (TIREC ID: 20222440).</p>  
   </sec>  
   <sec id="S9">  
  
     <title>Acknowledgment</title>  
     <p>We thank all the Laboratory Technicians for sample processing and testing. No 
contributor has been omitted.</p>  
   </sec>  
   <sec id="S10">  
 
     <title>Funding</title>  
     <p>This research received no external funding.</p>  
   </sec>  
   <sec id="S11">  
  
     <title>Conflict of interest</title>  
     <p>The authors declare no conflict of interest.</p>  
   </sec>   
   </ack>

<fn-group>
<fn id="fn1"><p><italic>How to cite:</italic> Renuka Sankaramoorthy Thangavelu, Poongodi Santhana Kumarasamy, Subha Kanthiah, Poornakala Ramu. Diagnosis of hepatitis C virus
among hemodialysis patients—which is the ideal method? Journal of Renal and Hepatic Disorders. 2026; 10(2): 1-6. doi: 10.63268/jrenhp.v10i2.254.</p></fn></fn-group>


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