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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.66.e111128</article-id>
      <article-id pub-id-type="publisher-id">111128</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Chemistry &amp; biophysics</subject>
          <subject>Diagnostic medicine</subject>
          <subject>Internal Diseases</subject>
          <subject>Public health</subject>
          <subject>Radiology &amp; Imaging</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A case-control study investigating cardiovascular health in maintenance hemodialysis patients through oxidative stress biomarkers and carotid artery intima-media thickness</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Rehman</surname>
            <given-names>Sadia</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-8026-422X</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Kumar</surname>
            <given-names>Santosh</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Sarfraz</surname>
            <given-names>Muhammad Raza</given-names>
          </name>
          <email xlink:type="simple">mrazasarfraz@outlook.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0002-2735-9852</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Shakoor</surname>
            <given-names>Shazia</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Khan</surname>
            <given-names>Muhammad Tassaduq</given-names>
          </name>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Bano</surname>
            <given-names>Saira</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Department of Biochemistry, Bahria University Health Sciences, Karachi, Pakistan</addr-line>
        <institution>Bahria University Health Sciences</institution>
        <addr-line content-type="city">Karachi</addr-line>
        <country>Pakistan</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Department of Nephrology, Jinnah Sindh Medical University, Karachi, Pakistan</addr-line>
        <institution>Jinnah Sindh Medical University</institution>
        <addr-line content-type="city">Karachi</addr-line>
        <country>Pakistan</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Bahria University Health Sciences, Karachi, Pakistan</addr-line>
        <institution>Dow University of Health Sciences</institution>
        <addr-line content-type="city">Karachi</addr-line>
        <country>Pakistan</country>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Department of Physiology, Bahria University Health Sciences, Karachi, Pakistan.</addr-line>
        <institution>Bahria University Health Sciences</institution>
        <addr-line content-type="city">Karachi</addr-line>
        <country>Pakistan</country>
      </aff>
      <aff id="A5">
        <label>5</label>
        <addr-line content-type="verbatim">Dow University of Health Sciences, Karachi, Pakistan</addr-line>
        <institution>Jinnah Sindh Medical University</institution>
        <addr-line content-type="city">Karachi</addr-line>
        <country>Pakistan</country>
      </aff>
      <aff id="A6">
        <label>6</label>
        <addr-line content-type="verbatim">Department of Medicine, PNS Shifa Hospital, Bahria University Health Sciences, Karachi, Pakistan</addr-line>
        <institution>Dow University of Health Sciences</institution>
        <addr-line content-type="city">Karachi</addr-line>
        <country>Pakistan</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Muhammad Raza Sarfraz, Bahria University Health Sciences, Sailor Street, Karachi Cantonment, Sindh 74400, Karachi, Pakistan; Email: <email xlink:type="simple">mrazasarfraz@outlook.com</email>; Tel.: +923405911123</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>30</day>
        <month>06</month>
        <year>2024</year>
      </pub-date>
      <volume>66</volume>
      <issue>3</issue>
      <fpage>340</fpage>
      <lpage>349</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/C8A139B5-B4C5-5843-B3F6-1C2A46B66222">C8A139B5-B4C5-5843-B3F6-1C2A46B66222</uri>
      <history>
        <date date-type="received">
          <day>13</day>
          <month>08</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>04</day>
          <month>06</month>
          <year>2024</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Sadia Rehman, Santosh Kumar, Muhammad Raza Sarfraz, Shazia Shakoor, Muhammad Tassaduq Khan, Saira Bano</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p><bold>Introduction</bold>: Chronic kidney disease (<abbrev xlink:title="Chronic kidney disease" id="ABBRID0E6E">CKD</abbrev>) is a major risk factor for the development of cardiovascular disease (<abbrev xlink:title="cardiovascular disease" id="ABBRID0EDF">CVD</abbrev>), and it is the leading cause of morbidity and mortality in end-stage renal disease (<abbrev xlink:title="end-stage renal disease" id="ABBRID0EHF">ESRD</abbrev>) patients receiving maintenance hemodialysis (<abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ELF">MHD</abbrev>).</p>
        <p><bold>Aim</bold>: This study aims to evaluate biomarkers of oxidative stress (<abbrev xlink:title="oxidative stress" id="ABBRID0ETF">OS</abbrev>) and carotid artery intima-media thickness as predictors of cardiovascular health among <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EXF">MHD</abbrev> patients.</p>
        <p><bold>Materials and methods</bold>: We divided 135 participants in this prospective case-control study into three groups: group A included 45 healthy controls, group B included 45 <abbrev xlink:title="end-stage renal disease" id="ABBRID0E6F">ESRD</abbrev> patients receiving <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EDG">MHD</abbrev> for less than three years, and group C included 45 <abbrev xlink:title="end-stage renal disease" id="ABBRID0EHG">ESRD</abbrev> patients receiving <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ELG">MHD</abbrev> for more than three years. Participants aged 18–50 years, not taking antioxidant supplements, and willing to participate were included, excluding those with chronic illnesses, prior cardiac disease, or acute renal failure. Data collected included demographics, <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EPG">MHD</abbrev> duration, medical history, lipid profile, common carotid artery intima-media thickness (<abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0ETG">CCA-IMT</abbrev>), and some biochemical parameters such as oxidized LDL (<abbrev xlink:title="oxidized LDL" id="ABBRID0EXG">Ox-LDL</abbrev>), malondialdehyde (<abbrev xlink:title="malondialdehyde" id="ABBRID0E2G">MDA</abbrev>), and superoxide dismutase (<abbrev xlink:title="superoxide dismutase" id="ABBRID0E6G">SOD</abbrev>).</p>
        <p><bold>Results</bold>: This study included 135 participants divided into three groups (A, B, and C) based on the <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EHH">MHD</abbrev> duration. Significant differences were observed in <abbrev xlink:title="oxidative stress" id="ABBRID0ELH">OS</abbrev> markers and lipid profiles across the groups (<italic>p</italic>&lt;0.001). Group C exhibited the highest levels of <abbrev xlink:title="oxidized LDL" id="ABBRID0ERH">Ox-LDL</abbrev> and <abbrev xlink:title="malondialdehyde" id="ABBRID0EVH">MDA</abbrev>, indicating increased <abbrev xlink:title="oxidative stress" id="ABBRID0EZH">OS</abbrev>, and the lowest <abbrev xlink:title="superoxide dismutase" id="ABBRID0E4H">SOD</abbrev> levels compared to groups A and B. Positive correlations were found between <abbrev xlink:title="oxidized LDL" id="ABBRID0ECAAC">Ox-LDL</abbrev> and LDL-cholesterol (<abbrev xlink:title="LDL-cholesterol" id="ABBRID0EGAAC">LDL-C</abbrev>) levels, with the strongest correlation in group C (<italic>r</italic>=0.684, <italic>p</italic>&lt;0.05). <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EOAAC">CCA-IMT</abbrev> progressively increased from group A to group C, with significant differences in right, left, and mean <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0ESAAC">CCA-IMT</abbrev> (<italic>p</italic>&lt;0.001). Multivariate analysis revealed a positive association between <abbrev xlink:title="oxidized LDL" id="ABBRID0EYAAC">Ox-LDL</abbrev> levels and <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0E3AAC">CCA-IMT</abbrev> (<italic>p</italic>&lt;0.01).</p>
        <p><bold>Conclusion</bold>: Increased <abbrev xlink:title="oxidative stress" id="ABBRID0EGBAC">OS</abbrev>, evident by elevated <abbrev xlink:title="oxidized LDL" id="ABBRID0EKBAC">Ox-LDL</abbrev> and reduced antioxidant levels, is linked to unfavorable lipid profiles and carotid atherosclerosis progression in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EOBAC">MHD</abbrev> patients. Prolonged <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ESBAC">MHD</abbrev> duration contributes to heightened <abbrev xlink:title="oxidative stress" id="ABBRID0EWBAC">OS</abbrev> and increased atherosclerosis development. <abbrev xlink:title="oxidized LDL" id="ABBRID0E1BAC">Ox-LDL</abbrev> emerges as a predictor of <abbrev xlink:title="cardiovascular disease" id="ABBRID0E5BAC">CVD</abbrev> risk in this population.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>atherosclerosis</kwd>
        <kwd>carotid artery intima-media thickness</kwd>
        <kwd>maintenance hemodialysis</kwd>
        <kwd>oxidative stress</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement>N/A</funding-statement>
      </funding-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0EJCAC">
        <title>Citation</title>
        <p>Rehman S, Kumar S, Sarfraz MR, Shakoor S, Khan MT, Bano S. A case-control study investigating cardiovascular health in maintenance hemodialysis patients through oxidative stress biomarkers and carotid artery intima-media thickness. Folia Med (Plovdiv) 2024;66(3):340-349. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.66.e111128">10.3897/folmed.66.e111128</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="SECID0EVCAC">
      <title>Introduction</title>
      <p>Chronic kidney disease (<abbrev xlink:title="Chronic kidney disease" id="ABBRID0E2CAC">CKD</abbrev>) is a major public health problem across the world, with maintenance hemodialysis (<abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E6CAC">MHD</abbrev>) being the widely used renal replacement therapy (RRT) for end-stage renal disease (<abbrev xlink:title="end-stage renal disease" id="ABBRID0EDDAC">ESRD</abbrev>) patients.<sup>[<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>]</sup> It affects approximately 13.4% of the population globally and the data from the United States suggest an adult prevalence of 13.1%, which has risen over time.<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup> Due to the scarcity of data, the precise burden of <abbrev xlink:title="Chronic kidney disease" id="ABBRID0EZDAC">CKD</abbrev> is still unknown in Pakistan, as there is no national renal registry in Pakistan and hence there is no credible estimate of <abbrev xlink:title="Chronic kidney disease" id="ABBRID0E4DAC">CKD</abbrev> and <abbrev xlink:title="end-stage renal disease" id="ABBRID0EBEAC">ESRD</abbrev> prevalence.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> However, according to a review by Imtiaz et al., the overall prevalence of <abbrev xlink:title="Chronic kidney disease" id="ABBRID0EMEAC">CKD</abbrev> in Pakistan is 16.7%.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup></p>
      <p><abbrev xlink:title="Chronic kidney disease" id="ABBRID0EYEAC">CKD</abbrev> is a key risk factor for developing cardiovascular diseases (<abbrev xlink:title="cardiovascular disease" id="ABBRID0E3EAC">CVD</abbrev>) and the leading cause of morbidity and mortality.<sup>[<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>]</sup> Even after making adequate modifications, <abbrev xlink:title="cardiovascular disease" id="ABBRID0ELFAC">CVD</abbrev> mortality is 10 to 20 times greater in <abbrev xlink:title="end-stage renal disease" id="ABBRID0EPFAC">ESRD</abbrev> patients than in the general population.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> According to the European Registry, patients on RRT have a 35%–50% higher risk of <abbrev xlink:title="cardiovascular disease" id="ABBRID0E1FAC">CVD</abbrev>, with incidences of coronary heart disease and ventricular hypertrophy at around 40% and 70%, respectively.<sup>[<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B6">6</xref>]</sup> Identification of <abbrev xlink:title="cardiovascular disease" id="ABBRID0EJGAC">CVD</abbrev> risk variables is critical for evaluating therapy impact and lowering the rate of mortality. Traditional risk factors (e.g., hypertension, hyperlipidemia, diabetes, physical inactivity, smoking, and advanced age) are exacerbated by nontraditional risk factors associated with renal failure.‌<sup>[<xref ref-type="bibr" rid="B6 B7 B8">6–8</xref>]</sup> Non-traditional risk factors, notably oxidative stress (<abbrev xlink:title="oxidative stress" id="ABBRID0EUGAC">OS</abbrev>) and inflammation, are important in the progression of <abbrev xlink:title="cardiovascular disease" id="ABBRID0EYGAC">CVD</abbrev>. These causes are tightly interwoven and mutually reinforcing, resulting in <abbrev xlink:title="cardiovascular disease" id="ABBRID0E3GAC">CVD</abbrev> in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EAHAC">MHD</abbrev> patients.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup><abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ELHAC">MHD</abbrev> is also linked to exacerbating <abbrev xlink:title="oxidative stress" id="ABBRID0EPHAC">OS</abbrev>, which contributes to inflammation, decreased endothelial function, and increased risk of atherosclerosis.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> It is essential to identify useful indicators predicting the onset of <abbrev xlink:title="cardiovascular disease" id="ABBRID0E1HAC">CVD</abbrev> in <abbrev xlink:title="Chronic kidney disease" id="ABBRID0E5HAC">CKD</abbrev> patients and to recognize characteristics related to various <abbrev xlink:title="oxidative stress" id="ABBRID0ECIAC">OS</abbrev> indicators to design tailored therapeutics aimed at minimizing <abbrev xlink:title="oxidative stress" id="ABBRID0EGIAC">OS</abbrev>.<sup>[<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>]</sup></p>
      <p>The change in the equilibrium between pro-oxidants and antioxidants results in <abbrev xlink:title="oxidative stress" id="ABBRID0EWIAC">OS</abbrev>. Hence, this imbalance leads to the formation of reactive oxygen species (ROS) and free radicals, both of which are harmful to body cells. The dialysis procedure itself causes a reduction in antioxidants and an increase in oxidative molecules, exacerbating the already established <abbrev xlink:title="oxidative stress" id="ABBRID0E1IAC">OS</abbrev>. Uremic condition, in combination with dialysis, is a substantial risk factor for <abbrev xlink:title="oxidative stress" id="ABBRID0E5IAC">OS</abbrev>-related complications.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> Although superoxide dismutase (<abbrev xlink:title="superoxide dismutase" id="ABBRID0EJJAC">SOD</abbrev>) plays a vital role in combating ROS, a decrease in total antioxidants has been reported in <abbrev xlink:title="Chronic kidney disease" id="ABBRID0ENJAC">CKD</abbrev> patients undergoing <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ERJAC">MHD</abbrev>. Oxidized low-density lipoprotein (<abbrev xlink:title="oxidized LDL" id="ABBRID0EVJAC">Ox-LDL</abbrev>) and serum malondialdehyde (<abbrev xlink:title="malondialdehyde" id="ABBRID0EZJAC">MDA</abbrev>) have been linked to <abbrev xlink:title="cardiovascular disease" id="ABBRID0E4JAC">CVD</abbrev> and <abbrev xlink:title="oxidative stress" id="ABBRID0EBKAC">OS</abbrev> in <abbrev xlink:title="end-stage renal disease" id="ABBRID0EFKAC">ESRD</abbrev> patients.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> Because of its mutagenic and cytotoxic properties, <abbrev xlink:title="malondialdehyde" id="ABBRID0EQKAC">MDA</abbrev> has a potential role in <abbrev xlink:title="cardiovascular disease" id="ABBRID0EUKAC">CVD</abbrev> development and is a commonly utilized indicator for <abbrev xlink:title="oxidative stress" id="ABBRID0EYKAC">OS</abbrev> yield through the oxidative degeneration of lipids and a single strong predictor of widespread <abbrev xlink:title="cardiovascular disease" id="ABBRID0E3KAC">CVD</abbrev> illness, and it is also implicated in the pathogenesis of atherosclerosis in the literature.<sup>[<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B9">9</xref>]</sup><abbrev xlink:title="oxidized LDL" id="ABBRID0ELLAC">Ox-LDL</abbrev> levels correlate with left ventricular hypertrophy in juvenile <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EPLAC">MHD</abbrev> patients and peripheral artery disease severity. Multiple studies have reported an increase in <abbrev xlink:title="oxidized LDL" id="ABBRID0ETLAC">Ox-LDL</abbrev> levels following a dialysis session.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> LDL metabolism in <abbrev xlink:title="Chronic kidney disease" id="ABBRID0E5LAC">CKD</abbrev> has been widely researched, often revealing elevated <abbrev xlink:title="LDL-cholesterol" id="ABBRID0ECMAC">LDL-C</abbrev> levels in early <abbrev xlink:title="Chronic kidney disease" id="ABBRID0EGMAC">CKD</abbrev> stages. Interestingly, <abbrev xlink:title="end-stage renal disease" id="ABBRID0EKMAC">ESRD</abbrev> patients might present with normal or decreased <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EOMAC">LDL-C</abbrev> and total cholesterol levels, unveiling a negative correlation between cholesterol levels and mortality in this cohort. Nevertheless, it has been observed that <abbrev xlink:title="oxidized LDL" id="ABBRID0ESMAC">Ox-LDL</abbrev> levels are higher than <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EWMAC">LDL-C</abbrev> levels in <abbrev xlink:title="end-stage renal disease" id="ABBRID0E1MAC">ESRD</abbrev> patients, indicating a complex interaction between traditional lipid markers and <abbrev xlink:title="oxidative stress" id="ABBRID0E5MAC">OS</abbrev> in this population.<sup>[<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>]</sup> It is interesting to mention that the conventional lipid profile, routinely performed on <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ENNAC">MHD</abbrev> patients, does not provide information on lipid peroxidation levels. <abbrev xlink:title="oxidized LDL" id="ABBRID0ERNAC">Ox-LDL</abbrev> arises from the biochemical modification of native LDL by free radicals, leading to alterations in its structure and properties.<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup> These changes result in <abbrev xlink:title="oxidized LDL" id="ABBRID0E3NAC">Ox-LDL</abbrev> being smaller and more capable of penetrating the intima layer of blood vessels, initiating an inflammatory response that can lead to plaque formation and the progression of atherosclerosis.‌<sup>[<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>]</sup> Atherosclerosis is commonly recognized as a pathogenic process involved in the progression of ischemic heart diseases.<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup> According to the literature, atherosclerosis begins in the initial stages of <abbrev xlink:title="Chronic kidney disease" id="ABBRID0ESOAC">CKD</abbrev>.<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup> The American Heart Association recommends carotid artery ultrasonography, a noninvasive imaging technique, to assess the risks associated with cerebrovascular and heart diseases.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> In <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EEPAC">MHD</abbrev> patients, measuring <abbrev xlink:title="oxidized LDL" id="ABBRID0EIPAC">Ox-LDL</abbrev> cholesterol levels enhances atherosclerotic <abbrev xlink:title="cardiovascular disease" id="ABBRID0EMPAC">CVD</abbrev> prediction over total serum <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EQPAC">LDL-C</abbrev> levels. Additionally, <abbrev xlink:title="malondialdehyde" id="ABBRID0EUPAC">MDA</abbrev> levels offer potential as an early diagnostic for atherosclerosis.<sup>[<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>]</sup></p>
      <p>Ultrasonography is widely used to diagnose advanced atherosclerosis by assessing carotid intima-media thickness.<sup>[<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>]</sup> However, it does not detect the early biochemical processes preceding plaque formation. Our study aims to fill this gap by identifying a biomarker signaling these processes before structural changes visible via ultrasonography. Early detection is crucial for timely intervention, especially in Pakistan, where CVDs are a leading cause of mortality among <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EUAAE">MHD</abbrev> patients.<sup>[<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B18">18</xref>]</sup> By establishing <abbrev xlink:title="oxidized LDL" id="ABBRID0EHBAE">Ox-LDL</abbrev> as an early indicator of <abbrev xlink:title="oxidative stress" id="ABBRID0ELBAE">OS</abbrev> and lipid peroxidation, we are not only enhancing our ability to detect the early stages of atherosclerosis but also providing a foundation for preventive strategies aimed at reducing cardiovascular risk in this vulnerable population. <abbrev xlink:title="Chronic kidney disease" id="ABBRID0EPBAE">CKD</abbrev> impacts social life and productivity. Despite the global progress in dialysis, there is insufficient literature examining the relationship between <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ETBAE">MHD</abbrev> and the risk of <abbrev xlink:title="cardiovascular disease" id="ABBRID0EXBAE">CVD</abbrev> in developing countries, particularly among the population in Pakistan. The suboptimal survival outcomes in Pakistan can be attributed to the ineffective delivery of hemodialysis care, which falls behind international standards.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> Limited local data on chronic hemodialysis hampers understanding of long-term survival and outcome factors.</p>
    </sec>
    <sec sec-type="Aim" id="SECID0ECCAE">
      <title>Aim</title>
      <p>Our study explores the link between <abbrev xlink:title="oxidative stress" id="ABBRID0EICAE">OS</abbrev> and <abbrev xlink:title="cardiovascular disease" id="ABBRID0EMCAE">CVD</abbrev> in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EQCAE">MHD</abbrev> patients, aiming to illuminate early diagnosis and innovative treatment approaches tailored to this high-risk group.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0EUCAE">
      <title>Materials and methods</title>
      <p>This was a prospective case-control study carried out at the Basic Medical Sciences Institute, Jinnah Postgraduate Medical Center, Karachi, in collaboration with the Departments of Radiology and Nephrology. The sample size was determined using OpenEpi, following the available research literature.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup> The reporting of this case-control study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.</p>
      <sec sec-type="Participants" id="SECID0EBDAE">
        <title>Participants</title>
        <p>The subjects were categorized into three groups. Grou﻿p A, referred to as the control group, comprised forty-five healthy participants recruited from the hospital. Group B consisted of forty-five individuals who had undergone <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EHDAE">MHD</abbrev> for up to three years, while group C included forty-five participants with <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ELDAE">MHD</abbrev> duration exceeding three years. Participants of both sexes, aged between eighteen and fifty years, who were not using additional antioxidants, had undergone <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EPDAE">MHD</abbrev> as RRT, and expressed willingness to take part were included. Conversely, individuals with significant chronic illnesses, such as tuberculosis or any malignancy, a history of prior cardiac disease, and those undergoing hemodialysis for acute renal failure, were excluded from the study.</p>
      </sec>
      <sec sec-type="Data collection tool" id="SECID0ETDAE">
        <title>Data collection tool</title>
        <p>A detailed questionnaire was used for data collection, including demographic information, anthropometric measurements, duration of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EZDAE">MHD</abbrev>, comprehensive medical and medication history, and a general physical examination. Vital signs such as systolic blood pressure (SBP) and diastolic blood pressure (DBP), pulse pressure, respiratory rate, and temperature were recorded. The assessment included biochemical parameters like total cholesterol (TC), triglycerides (TGs), HDL-cholesterol (HDL-C), LDL-cholesterol (<abbrev xlink:title="LDL-cholesterol" id="ABBRID0E4DAE">LDL-C</abbrev>), serum oxidized LDL (<abbrev xlink:title="oxidized LDL" id="ABBRID0EBEAE">Ox-LDL</abbrev>), serum malondialdehyde (<abbrev xlink:title="malondialdehyde" id="ABBRID0EFEAE">MDA</abbrev>), and plasma superoxide dismutase (<abbrev xlink:title="superoxide dismutase" id="ABBRID0EJEAE">SOD</abbrev>) levels. Ultrasonographic measurements of right and left common carotid artery intima-media thickness (<abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0ENEAE">CCA-IMT</abbrev>) were also obtained.</p>
      </sec>
    </sec>
    <sec sec-type="Laboratory parameters" id="SECID0EREAE">
      <title>Laboratory parameters</title>
      <p>On non-dialysis days, all biochemical analyses were conducted after an overnight fast. A sterile disposable syringe was utilized to draw a 5-ml venous blood sample, which was subsequently transferred into vacutainers.</p>
      <p>For quantifying TC concentration in the blood, the enzymatic colorimetric technique (Kit Cat. No. CH 8240) manufactured by Merck, France, was employed, and the results were expressed in milligrams per deciliter (mg/dL). Serum HDL-C levels were measured using an enzymatic kit method, also reported in milligrams per deciliter (mg/dL). Similarly, the glycerol-3-phosphate oxidase phenol amino phenazone method determined TGs levels in the serum in milligrams per deciliter (mg/dL).</p>
      <p>To calculate <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EZEAE">LDL-C</abbrev>, the Friedewald formula was applied: <abbrev xlink:title="LDL-cholesterol" id="ABBRID0E4EAE">LDL-C</abbrev> = TC−(HDL-C+TGs/5). Serum <abbrev xlink:title="oxidized LDL" id="ABBRID0EBFAE">Ox-LDL</abbrev> levels were assessed in U/l using the Human ELISA Kit for <abbrev xlink:title="oxidized LDL" id="ABBRID0EFFAE">Ox-LDL</abbrev>, Catalogue Number CEA527Hu. The marker of <abbrev xlink:title="oxidative stress" id="ABBRID0EJFAE">OS</abbrev>, <abbrev xlink:title="malondialdehyde" id="ABBRID0ENFAE">MDA</abbrev>, in the blood was measured according to the Okhawa et al. technique, with results expressed as thiobarbituric acid-reacting substances in nmol/ml. Additionally, the antioxidant enzyme <abbrev xlink:title="superoxide dismutase" id="ABBRID0ERFAE">SOD</abbrev> activity in plasma was determined as U/L using the Kono technique. The r﻿ationale for selecting <abbrev xlink:title="oxidized LDL" id="ABBRID0EVFAE">Ox-LDL</abbrev>, <abbrev xlink:title="malondialdehyde" id="ABBRID0EZFAE">MDA</abbrev>, and <abbrev xlink:title="superoxide dismutase" id="ABBRID0E4FAE">SOD</abbrev> as biomarkers is grounded in their well-established involvement in <abbrev xlink:title="oxidative stress" id="ABBRID0EBGAE">OS</abbrev> and associated biochemical pathways. By established scientific knowledge, <abbrev xlink:title="oxidized LDL" id="ABBRID0EFGAE">Ox-LDL</abbrev> stands out as a more specific biomarker for atherosclerosis owing to its smaller size, facilitating its easy passage through the intima-media layer of blood vessels. Additionally, <abbrev xlink:title="superoxide dismutase" id="ABBRID0EJGAE">SOD</abbrev> represents the largest endogenous antioxidant in the body, and <abbrev xlink:title="malondialdehyde" id="ABBRID0ENGAE">MDA</abbrev> serves as a relatively stable ROS, rendering its levels more reliable for predictive purposes. These chosen biomarkers function as dependable indicators of <abbrev xlink:title="oxidative stress" id="ABBRID0ERGAE">OS</abbrev> damage, lipid peroxidation, and antioxidant defense mechanisms. <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EVGAE">CCA-IMT</abbrev> was measured via ultrasonography to evaluate atherosclerosis. The thickness of the tunica media and tunica intima of the common carotid artery was expressed in millimeters (mm) using high-resolution B-mode ultrasonography.</p>
      <p>The predictors studied are common <abbrev xlink:title="cardiovascular disease" id="ABBRID0E2GAE">CVD</abbrev> risk factors like high cholesterol, age, sex, and <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E6GAE">MHD</abbrev> duration. Potential confounding variables that could affect the relationship between <abbrev xlink:title="oxidized LDL" id="ABBRID0EDHAE">Ox-LDL</abbrev> levels and cardiovascular outcomes in <abbrev xlink:title="end-stage renal disease" id="ABBRID0EHHAE">ESRD</abbrev> patients include age, sex, lifestyle factors (diet, exercise, smoking), and dialysis-related factors (frequency and duration of dialysis sessions) that may impact oxidative stress levels and inflammation. Effect modifiers that could change the effect of <abbrev xlink:title="oxidized LDL" id="ABBRID0ELHAE">Ox-LDL</abbrev> on cardiovascular outcomes in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EPHAE">MHD</abbrev> patients include genetic predispositions to oxidative stress and atherosclerosis, the effectiveness of anti-inflammatory or cholesterol-lowering treatments, and the presence of other health conditions. We used consecutive sampling to include all eligible participants during the study period. A broad age range and inclusion of both sexes aimed to improve generalizability. Excluding those taking antioxidant supplements helped isolate the effects of oxidative stress related to <abbrev xlink:title="end-stage renal disease" id="ABBRID0ETHAE">ESRD</abbrev> and its treatment. Participants with serious chronic illnesses, history of <abbrev xlink:title="cardiovascular disease" id="ABBRID0EXHAE">CVD</abbrev> or acute renal failure were excluded to minimize confounding effects on the outcomes of interest. Detailed data on demographics, duration of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E2HAE">MHD</abbrev> and medical history were collected to control potential confounders in the analysis. This allows for a better understanding of how factors impact the relationship between oxidative stress markers and cardiovascular outcomes in <abbrev xlink:title="end-stage renal disease" id="ABBRID0E6HAE">ESRD</abbrev> patients.</p>
      <sec sec-type="Outco﻿mes" id="SECID0EDIAE">
        <title>Outco﻿mes</title>
        <p>The primary outcome of interest in this study is the development of <abbrev xlink:title="cardiovascular disease" id="ABBRID0EJIAE">CVD</abbrev>, including atherosclerosis, among patients with <abbrev xlink:title="end-stage renal disease" id="ABBRID0ENIAE">ESRD</abbrev>. Secondary outcomes include the progression of atherosclerosis, measured by changes in carotid intima-media thickness over time.</p>
      </sec>
      <sec sec-type="Data analysis procedure" id="SECID0ERIAE">
        <title>Data analysis procedure</title>
        <p>Data was stored and analyzed utilizing IBM-SPSS version 23.0. The d﻿ata encompassing profiles, serum parameters, <abbrev xlink:title="oxidative stress" id="ABBRID0EXIAE">OS</abbrev> markers, lipid profiles, and intima-media thickness underwent normality testing through the Shapiro-Wilk test. For parameters not following a normal distribution, the median with interquartile range was reported. Comparison across the three groups was conducted using the Kruskal-Wallis test, and the duration of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E2IAE">MHD</abbrev> between the two groups was assessed through the Mann-Whitney U test. Post-hoc analysis of significant parameters was performed using Tukey’s HSD test. Non-parametric Spearman Rank Correlation was employed to investigate the correlation between <abbrev xlink:title="oxidized LDL" id="ABBRID0E6IAE">Ox-LDL</abbrev>, <abbrev xlink:title="oxidative stress" id="ABBRID0EDJAE">OS</abbrev>, and lipid profile. Multi﻿variate regression models were used to explore the associations between the studied parameters. We adjusted for potential confounders including age, sex, BMI, SBP, DBP, <abbrev xlink:title="malondialdehyde" id="ABBRID0EHJAE">MDA</abbrev>, <abbrev xlink:title="superoxide dismutase" id="ABBRID0ELJAE">SOD</abbrev>, TGs, TC, HDL-C, and <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EPJAE">LDL-C</abbrev> levels. Interaction terms were included where appropriate to assess potential effect modification. Statistical significance was set at <italic>p</italic>&lt;0.05.</p>
      </sec>
      <sec sec-type="Ethical approval and consent to participate" id="SECID0EVJAE">
        <title>Ethical approval and consent to participate</title>
        <p>The study protocol adhered to the ethical guidelines set by both institutional and national research committees, as well as the principles outlined in the Helsinki Declaration. Ethical authorization was granted by Jinnah Postgraduate Medical Center’s institutional review committee. Written, understood and voluntary consent was taken from the participants. Data was coded for confidentiality and accessible only to the principal investigator.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="SECID0E1JAE">
      <title>Results</title>
      <p>The study included a total of 135 participants, equally divided into three groups (45 participants each). Groups A and C comprised 27 (60%) men and 18 (40%) women, while group B had 28 (63%) men and 17 (37%) women. The median age of participants was 33.5 years in group A, 35.5 years in group B, and 43.5 years in group C.</p>
      <p><bold>Table <xref ref-type="table" rid="T1">1</xref></bold> presents the median comparison of participant profiles across the study groups. Significant differences were observed in age, BMI, SBP and DBP using the Kruskal-Wallis test (<italic>p</italic>&lt;0.001 for age, SBP, and DBP; <italic>p</italic>=0.006 for BMI). Post-hoc analysis revealed that group C had a significantly higher median age compared to groups A and B, while median BMI was significantly lower in group C than in group B. The median SBP and DBP differed significantly among all three groups. The median duration of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ELKAE">MHD</abbrev> was 2 years for group B and 8 years for group C, with a significant difference between the two groups (<italic>p</italic>&lt;0.001).</p>
      <p>The analysis revealed significant differences in oxidative stress and lipid profile parameters across the three groups (<italic>p</italic>&lt;0.001) and significant pairwise differences were observed for most parameters among the three groups as shown in <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>. Group C exhibited the highest median levels of <abbrev xlink:title="oxidized LDL" id="ABBRID0E2KAE">Ox-LDL</abbrev> at 74 U/L and <abbrev xlink:title="malondialdehyde" id="ABBRID0E6KAE">MDA</abbrev> at 29.9 nmol/ml, along with the lowest <abbrev xlink:title="superoxide dismutase" id="ABBRID0EDLAE">SOD</abbrev> levels of 46.2 U/L, indicating increased <abbrev xlink:title="oxidative stress" id="ABBRID0EHLAE">OS</abbrev> compared to groups A and B. TGs levels were also the highest in group C at 186.5 mg/dl. While TC was the highest in group B at 148.5 mg/dl, HDL-C levels were lowest in group C at 20 mg/dl. <abbrev xlink:title="LDL-cholesterol" id="ABBRID0ELLAE">LDL-C</abbrev> levels were comparable between groups A and C but lower than group B.</p>
      <p><bold>Table <xref ref-type="table" rid="T3">3</xref></bold> presents significant correlations between <abbrev xlink:title="oxidized LDL" id="ABBRID0EXLAE">Ox-LDL</abbrev>, <abbrev xlink:title="malondialdehyde" id="ABBRID0E2LAE">MDA</abbrev>, <abbrev xlink:title="superoxide dismutase" id="ABBRID0E6LAE">SOD</abbrev> and lipid profile parameters across the three groups, using Spearman’s rank correlation within each study group. In group A, <abbrev xlink:title="oxidized LDL" id="ABBRID0EDMAE">Ox-LDL</abbrev> showed a significant positive correlation with <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EHMAE">LDL-C</abbrev> levels (<italic>r</italic>=0.505, <italic>p</italic>&lt;0.05). In group B, <abbrev xlink:title="malondialdehyde" id="ABBRID0EPMAE">MDA</abbrev> had a significant positive correlation with HDL-C levels (<italic>r</italic>=0.388, <italic>p</italic>&lt;0.05), while <abbrev xlink:title="oxidized LDL" id="ABBRID0EXMAE">Ox-LDL</abbrev> was positively correlated with <abbrev xlink:title="LDL-cholesterol" id="ABBRID0E2MAE">LDL-C</abbrev> levels (<italic>r</italic>=0.386, <italic>p</italic>&lt;0.05). In group C, <abbrev xlink:title="oxidized LDL" id="ABBRID0EDNAE">Ox-LDL</abbrev> exhibited a strong positive correlation with <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EHNAE">LDL-C</abbrev> (<italic>r</italic>=0.684, <italic>p</italic>&lt;0.05) and a moderate positive correlation with <abbrev xlink:title="malondialdehyde" id="ABBRID0EPNAE">MDA</abbrev> (<italic>r</italic>=0.356). Additionally, <abbrev xlink:title="superoxide dismutase" id="ABBRID0EVNAE">SOD</abbrev> showed a significant negative correlation with <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EZNAE">LDL-C</abbrev> (<italic>r</italic>=−0.601, <italic>p</italic>&lt;0.05) and HDL-C (<italic>r</italic>=−0.584, <italic>p</italic>&lt;0.05) in this group. The findings indicate a 39.5% negative correlation between <abbrev xlink:title="oxidized LDL" id="ABBRID0EFOAE">Ox-LDL</abbrev> and <abbrev xlink:title="superoxide dismutase" id="ABBRID0EJOAE">SOD</abbrev> in group C, a 50.5% positive correlation between <abbrev xlink:title="oxidized LDL" id="ABBRID0ENOAE">Ox-LDL</abbrev> and <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EROAE">LDL-C</abbrev> in group A, a 38.6% positive correlation between <abbrev xlink:title="oxidized LDL" id="ABBRID0EVOAE">Ox-LDL</abbrev> and <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EZOAE">LDL-C</abbrev> in group B, and a 68.4% positive correlation between <abbrev xlink:title="oxidized LDL" id="ABBRID0E4OAE">Ox-LDL</abbrev> and <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EBPAE">LDL-C</abbrev> in group C. Furthermore, <abbrev xlink:title="malondialdehyde" id="ABBRID0EFPAE">MDA</abbrev> exhibits a 36.4% negative correlation with <abbrev xlink:title="superoxide dismutase" id="ABBRID0EJPAE">SOD</abbrev> in group B and a 72.2% negative correlation with <abbrev xlink:title="superoxide dismutase" id="ABBRID0ENPAE">SOD</abbrev> in group C, respectively, as well as a 38.8% positive correlation with HDL-C in group B. Additionally, <abbrev xlink:title="superoxide dismutase" id="ABBRID0ERPAE">SOD</abbrev> demonstrates a 60.1% negative correlation with <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EVPAE">LDL-C</abbrev> in group C samples, while TC shows a 58.4% negative correlation with HDL-C in group C. <bold>Fig. <xref ref-type="fig" rid="F1">1</xref></bold> illustrates the overall positive and negative correlations among serum parameters, including <abbrev xlink:title="oxidized LDL" id="ABBRID0E6PAE">Ox-LDL</abbrev>, <abbrev xlink:title="malondialdehyde" id="ABBRID0EDQAE">MDA</abbrev>, <abbrev xlink:title="superoxide dismutase" id="ABBRID0EHQAE">SOD</abbrev>, and carotid artery IMT, using a scatter plot across all study groups.</p>
      <p><abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0ENQAE">CCA-IMT</abbrev> revealed significant differences across the study groups (<italic>p</italic>&lt;0.001), as shown in <bold>Table <xref ref-type="table" rid="T4">4</xref></bold>. The Kruskal-Wallis test showed that the median right <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EZQAE">CCA-IMT</abbrev>, left <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0E4QAE">CCA-IMT</abbrev>, and mean IMT differed significantly among groups A, B, and C. In pairwise comparisons using Tukey’s HSD test, all group pairs exhibited significant mean differences in these parameters, with an increasing trend observed from group A to group C (<italic>p</italic>&lt;0.05). Specifically, the median right <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EDRAE">CCA-IMT</abbrev> ranged from 0.44 mm in group A to 0.69 mm in group B, and 0.92 mm in group C. The median left <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EHRAE">CCA-IMT</abbrev> increased from 0.41 mm in group A to 0.69 mm in group B and 1.1 mm in group C.</p>
      <p><bold>Table <xref ref-type="table" rid="T5">5</xref></bold> presents significant findings from a multivariate analysis, showing a positive association between <abbrev xlink:title="oxidized LDL" id="ABBRID0ETRAE">Ox-LDL</abbrev> levels and intima-media thickness (IMT), with a significant value (<italic>p</italic>&lt;0.01). SBP, <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EZRAE">LDL-C</abbrev> levels, and <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E4RAE">MHD</abbrev> duration were significant predictors of <abbrev xlink:title="oxidized LDL" id="ABBRID0EBSAE">Ox-LDL</abbrev> levels. Specifically, <abbrev xlink:title="oxidized LDL" id="ABBRID0EFSAE">Ox-LDL</abbrev> levels were higher by 55.7 units in group B and 34.8 units in group C (both <italic>p</italic>&lt;0.01). In the multivariate model, SBP, <abbrev xlink:title="LDL-cholesterol" id="ABBRID0ELSAE">LDL-C</abbrev> levels, and <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EPSAE">MHD</abbrev> status emerged as significant predictors, while the interaction between <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ETSAE">MHD</abbrev> status and sex was found to be insignificant. Right <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EXSAE">CCA-IMT</abbrev> increased by 0.5 mm in group B and 0.3 mm in group C (both <italic>p</italic>&lt;0.01), while left <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0E4SAE">CCA-IMT</abbrev> increased by 0.7 mm in group B and 0.3 mm in group C (both <italic>p</italic>&lt;0.01). Mean IMT also increased significantly: 0.6 mm for group B and 0.3 mm for group C (both <italic>p</italic>&lt;0.01). These results highlight the significant impact of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EFTAE">MHD</abbrev> on <abbrev xlink:title="oxidized LDL" id="ABBRID0EJTAE">Ox-LDL</abbrev> levels and <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0ENTAE">CCA-IMT</abbrev>.</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>Comparison of demographic and other baseline parameters across study groups</p>
        </caption>
        <table id="TID0EBLAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="2" colspan="1">
                <bold>Parameters</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group A</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group B</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group C</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold><italic>P</italic>-value</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>Significant pairwise comparison</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Age (years)</td>
              <td rowspan="1" colspan="1">33.5 (12)</td>
              <td rowspan="1" colspan="1">35.5 (13)</td>
              <td rowspan="1" colspan="1">43.5 (6)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>)</td>
              <td rowspan="1" colspan="1">23.21 (3.27)</td>
              <td rowspan="1" colspan="1">25.46 (6.9)</td>
              <td rowspan="1" colspan="1">21.6 (5.67)</td>
              <td rowspan="1" colspan="1">0.006*</td>
              <td rowspan="1" colspan="1">3</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SBP (mmHg)</td>
              <td rowspan="1" colspan="1">110 (10)</td>
              <td rowspan="1" colspan="1">130 (10)</td>
              <td rowspan="1" colspan="1">160 (20)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">DBP (mmHg)</td>
              <td rowspan="1" colspan="1">70 (70-60)</td>
              <td rowspan="1" colspan="1">90 (90-80)</td>
              <td rowspan="1" colspan="1">90 (100-90)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Weight (kg)</td>
              <td rowspan="1" colspan="1">66.5 (9)</td>
              <td rowspan="1" colspan="1">69 (6)</td>
              <td rowspan="1" colspan="1">64 (11)</td>
              <td rowspan="1" colspan="1">0.07</td>
              <td rowspan="1" colspan="1">-</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Height (m)</td>
              <td rowspan="1" colspan="1">1.68 (0.22)</td>
              <td rowspan="1" colspan="1">1.58 (0.22)</td>
              <td rowspan="1" colspan="1">1.55 (0.22)</td>
              <td rowspan="1" colspan="1">0.06</td>
              <td rowspan="1" colspan="1">-</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Duration of dialysis (years)</td>
              <td rowspan="1" colspan="1">-</td>
              <td rowspan="1" colspan="1">2 (1)</td>
              <td rowspan="1" colspan="1">8 (3)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">-</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>1: Difference between <bold>A</bold> and <bold>B</bold>; 2: Difference between <bold>A</bold> and <bold>C</bold>; 3: Difference between <bold>B</bold> and <bold>C</bold></p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T2" position="float" orientation="portrait">
        <label>Table 2.</label>
        <caption>
          <p>Comparison of oxidative stress and lipid profile parameters across study groups</p>
        </caption>
        <table id="TID0EMUAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="2" colspan="1">
                <bold>Parameters</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group A</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group B</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group C</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold><italic>P</italic>-value</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>Significant pairwise comparison</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><abbrev xlink:title="oxidized LDL" id="ABBRID0EPNAG">Ox-LDL</abbrev> (U/L)</td>
              <td rowspan="1" colspan="1">24.5 (7.75)</td>
              <td rowspan="1" colspan="1">59 (4.5)</td>
              <td rowspan="1" colspan="1">74 (9.75)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><abbrev xlink:title="malondialdehyde" id="ABBRID0EHOAG">MDA</abbrev> (nmol/ml)</td>
              <td rowspan="1" colspan="1">11 (3.87)</td>
              <td rowspan="1" colspan="1">16.85 (5.4)</td>
              <td rowspan="1" colspan="1">29.9 (11.62)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><abbrev xlink:title="superoxide dismutase" id="ABBRID0E6OAG">SOD</abbrev> (U/L)</td>
              <td rowspan="1" colspan="1">108.53 (24.75)</td>
              <td rowspan="1" colspan="1">85.23 (17.5)</td>
              <td rowspan="1" colspan="1">46.2 (32.25)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TGs (mg/dl)</td>
              <td rowspan="1" colspan="1">86 (29.75)</td>
              <td rowspan="1" colspan="1">123 (37.25)</td>
              <td rowspan="1" colspan="1">186.5 (32)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TC (mg/dl)</td>
              <td rowspan="1" colspan="1">100.5 (30.75)</td>
              <td rowspan="1" colspan="1">148.5 (42)</td>
              <td rowspan="1" colspan="1">128 (49.5)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">HDL-C (mg/dl)</td>
              <td rowspan="1" colspan="1">43 (8)</td>
              <td rowspan="1" colspan="1">31 (6)</td>
              <td rowspan="1" colspan="1">20 (7)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><abbrev xlink:title="LDL-cholesterol" id="ABBRID0EQRAG">LDL-C</abbrev> (mg/dl)</td>
              <td rowspan="1" colspan="1">75.5 (12.25)</td>
              <td rowspan="1" colspan="1">89.5 (19.75)</td>
              <td rowspan="1" colspan="1">70.5 (32.75)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 3)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>1: Difference between <bold>A</bold> and <bold>B</bold>; 2: Difference between <bold>A</bold> and <bold>C</bold>; 3: Difference between <bold>B</bold> and <bold>C</bold></p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T3" position="float" orientation="portrait">
        <label>Table 3.</label>
        <caption>
          <p>Correlations between oxidative stress markers and lipid profiles across study groups</p>
        </caption>
        <table id="TID0EU4AE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Parameters</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold><abbrev xlink:title="oxidized LDL" id="ABBRID0ERTAG">Ox-LDL</abbrev>
                 U/L</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold><abbrev xlink:title="malondialdehyde" id="ABBRID0E5TAG">MDA</abbrev>
                 nmol/ml</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold><abbrev xlink:title="superoxide dismutase" id="ABBRID0ELUAG">SOD</abbrev>
                 U/L</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>TGs mg/dl</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>TC mg/dl</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>HDL-C mg/dl</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="3" colspan="1"><abbrev xlink:title="malondialdehyde" id="ABBRID0ESVAG">MDA</abbrev> (nmol/ml)</td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">0.18</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">B</td>
              <td rowspan="1" colspan="1">0.2</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">0.34</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="3" colspan="1"><abbrev xlink:title="superoxide dismutase" id="ABBRID0E3XAG">SOD</abbrev> (U/L)</td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">0.09</td>
              <td rowspan="1" colspan="1">0.08</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">B</td>
              <td rowspan="1" colspan="1">−0.18</td>
              <td rowspan="1" colspan="1">−0.364*</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">−0.395*</td>
              <td rowspan="1" colspan="1">−0.722*</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="3" colspan="1">TGs (mg/dl)</td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">0.05</td>
              <td rowspan="1" colspan="1">0.23</td>
              <td rowspan="1" colspan="1">−0.1</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">B</td>
              <td rowspan="1" colspan="1">−0.07</td>
              <td rowspan="1" colspan="1">−0.2</td>
              <td rowspan="1" colspan="1">0.12</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">0.06</td>
              <td rowspan="1" colspan="1">0.28</td>
              <td rowspan="1" colspan="1">−0.2</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="3" colspan="1">TC (mg/dl)</td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">0.09</td>
              <td rowspan="1" colspan="1">0.24</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">B</td>
              <td rowspan="1" colspan="1">−0.27</td>
              <td rowspan="1" colspan="1">−0.1</td>
              <td rowspan="1" colspan="1">0.24</td>
              <td rowspan="1" colspan="1">0.4</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">0.28</td>
              <td rowspan="1" colspan="1">0.22</td>
              <td rowspan="1" colspan="1">−0.1</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="3" colspan="1">HDL-C (mg/dl)</td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">0.36</td>
              <td rowspan="1" colspan="1">0.14</td>
              <td rowspan="1" colspan="1">0.13</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">B</td>
              <td rowspan="1" colspan="1">−0.16</td>
              <td rowspan="1" colspan="1">0.388*</td>
              <td rowspan="1" colspan="1">0.04</td>
              <td rowspan="1" colspan="1">0</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">−0.24</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1">−0.2</td>
              <td rowspan="1" colspan="1">−0.584*</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="3" colspan="1"><abbrev xlink:title="LDL-cholesterol" id="ABBRID0EVABG">LDL-C</abbrev> (mg/dl)</td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">0.505*</td>
              <td rowspan="1" colspan="1">0.22</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">0.416*</td>
              <td rowspan="1" colspan="1">0.2</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">B</td>
              <td rowspan="1" colspan="1">0.386*</td>
              <td rowspan="1" colspan="1">0.23</td>
              <td rowspan="1" colspan="1">−0.3</td>
              <td rowspan="1" colspan="1">0</td>
              <td rowspan="1" colspan="1">−0</td>
              <td rowspan="1" colspan="1">0.1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">0.684*</td>
              <td rowspan="1" colspan="1">0.36</td>
              <td rowspan="1" colspan="1">−0.601*</td>
              <td rowspan="1" colspan="1">−0.1</td>
              <td rowspan="1" colspan="1">0</td>
              <td rowspan="1" colspan="1">−0</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>*Correlation was considered statistically significant at <italic>p</italic>&lt;0.05 (Spearman Rank Test)</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <fig id="F1" position="float" orientation="portrait">
        <object-id content-type="arpha">5CD81F3B-A528-572E-AB79-B5FD6CCF880A</object-id>
        <label>Figure 1.</label>
        <caption>
          <p>Scatter plot representing the correlation of <abbrev xlink:title="oxidized LDL" id="ABBRID0EIDBG">Ox-LDL</abbrev>, <abbrev xlink:title="malondialdehyde" id="ABBRID0EMDBG">MDA</abbrev>, <abbrev xlink:title="superoxide dismutase" id="ABBRID0EQDBG">SOD</abbrev>, and carotid artery intima-media thickness.</p>
        </caption>
        <graphic xlink:href="foliamedica-66-3-e111128-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1083424.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1083424</uri>
        </graphic>
      </fig>
      <table-wrap id="T4" position="float" orientation="portrait">
        <label>Table 4.</label>
        <caption>
          <p>Comparison of carotid artery intima-media thickness (IMT) across study groups</p>
        </caption>
        <table id="TID0EFTAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="2" colspan="1">
                <bold>Parameters</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group A</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group B</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Group C</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold><italic>P</italic>-value</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>Significant pairwise comparison</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Median (IQR)</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Right <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EFGBG">CCA-IMT</abbrev> (mm)</td>
              <td rowspan="1" colspan="1">0.44 (0.07)</td>
              <td rowspan="1" colspan="1">0.6 (0.10)</td>
              <td rowspan="1" colspan="1">0.92 (0.06)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Left <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0E4GBG">CCA-IMT</abbrev> (mm)</td>
              <td rowspan="1" colspan="1">0.41 (0.01)</td>
              <td rowspan="1" colspan="1">0.69 (0.02)</td>
              <td rowspan="1" colspan="1">1.1 (1.21)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Mean IMT</td>
              <td rowspan="1" colspan="1">0.43 (0.03)</td>
              <td rowspan="1" colspan="1">0.67 (0.07)</td>
              <td rowspan="1" colspan="1">0.98 (1.07)</td>
              <td rowspan="1" colspan="1">&lt;0.001*</td>
              <td rowspan="1" colspan="1">(1, 2, 3)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>1: Difference between <bold>A</bold> and <bold>B</bold>; 2: Difference between <bold>A</bold> and <bold>C</bold>; 3: Difference between <bold>B</bold> and <bold>C</bold>.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T5" position="float" orientation="portrait">
        <label>Table 5.</label>
        <caption>
          <p>Multivariate analysis of predictors for <abbrev xlink:title="oxidized LDL" id="ABBRID0E3IBG">Ox-LDL</abbrev> levels and carotid artery IMT</p>
        </caption>
        <table id="TID0EBZAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="2" colspan="1">
                <bold>Dependent variable</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>Cases</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>Beta coefficient</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>Standard error</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold>t-value</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold><italic>p</italic>-value</bold>
              </td>
              <td rowspan="1" colspan="2">
                <bold>95% Confidence interval</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Lower bound</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Upper bound</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1"><abbrev xlink:title="oxidized LDL" id="ABBRID0EELBG">Ox-LDL</abbrev> (U/L)</td>
              <td rowspan="1" colspan="1">Group B</td>
              <td rowspan="1" colspan="1">55.7</td>
              <td rowspan="1" colspan="1">8</td>
              <td rowspan="1" colspan="1">7</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">39.3</td>
              <td rowspan="1" colspan="1">72</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Group C</td>
              <td rowspan="1" colspan="1">34.8</td>
              <td rowspan="1" colspan="1">5</td>
              <td rowspan="1" colspan="1">7</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">24.6</td>
              <td rowspan="1" colspan="1">44.9</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Right <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EYMBG">CCA-IMT</abbrev> (mm)</td>
              <td rowspan="1" colspan="1">Group B</td>
              <td rowspan="1" colspan="1">0.5</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">4.9</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">0.3</td>
              <td rowspan="1" colspan="1">0.7</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Group C</td>
              <td rowspan="1" colspan="1">0.3</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">4</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">0.4</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Left <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EMOBG">CCA-IMT</abbrev> (mm)</td>
              <td rowspan="1" colspan="1">Group B</td>
              <td rowspan="1" colspan="1">0.7</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">5.1</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">0.4</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Group C</td>
              <td rowspan="1" colspan="1">0.3</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">3.5</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">0.5</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Mean IMT</td>
              <td rowspan="1" colspan="1">Group B</td>
              <td rowspan="1" colspan="1">0.6</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">6.8</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">0.4</td>
              <td rowspan="1" colspan="1">0.8</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Group C</td>
              <td rowspan="1" colspan="1">0.3</td>
              <td rowspan="1" colspan="1">0.1</td>
              <td rowspan="1" colspan="1">5</td>
              <td rowspan="1" colspan="1">&lt;0.01*</td>
              <td rowspan="1" colspan="1">0.2</td>
              <td rowspan="1" colspan="1">0.4</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>*Beta coefficient with <italic>p&lt;</italic>0.05 was considered statistically significant (The model was adjusted for age, BMI, SBP, DBP, <abbrev xlink:title="malondialdehyde" id="ABBRID0EQRBG">MDA</abbrev>, <abbrev xlink:title="superoxide dismutase" id="ABBRID0EURBG">SOD</abbrev>, TC, TGs, HDL-C, and <abbrev xlink:title="LDL-cholesterol" id="ABBRID0EYRBG">LDL-C</abbrev>)</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="Discussion" id="SECID0ERTAE">
      <title>Discussion</title>
      <p>The primary cause of death in individuals undergoing <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EXTAE">MHD</abbrev> is <abbrev xlink:title="cardiovascular disease" id="ABBRID0E2TAE">CVD</abbrev>. The main contributor to dialysis-related <abbrev xlink:title="cardiovascular disease" id="ABBRID0E6TAE">CVD</abbrev> in these patients is <abbrev xlink:title="oxidative stress" id="ABBRID0EDUAE">OS</abbrev>. This study aimed to investigate the relation between atherosclerotic changes in patients on <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EHUAE">MHD</abbrev> and markers of <abbrev xlink:title="oxidative stress" id="ABBRID0ELUAE">OS</abbrev>. In the present study, patients with longer durations of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EPUAE">MHD</abbrev> exhibited significantly reduced BMI and weight. These findings align with the conclusions drawn by Rysz et al.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> The decline in BMI could potentially be attributed to protein-energy wasting and dietary restrictions in individuals undergoing <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E1UAE">MHD</abbrev>.</p>
      <p>We discovered that the SBP and DBP of the <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EAVAE">MHD</abbrev> patients were significantly higher than that of group A with a highly significant <italic>p</italic>-value &lt;0.001. This rise in blood pressure may be caused by fluid overload, excessive renin-angiotensin system activity, the injection of erythropoietin, or increased sympathetic nervous system activation. Our findings are in line with those of Wang et al., who found that <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EGVAE">MHD</abbrev> patients had a mean SBP of 143.2±32.7 mmHg and a mean DBP of 79.0±15.9 mmHg.<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup> Compared to the control (group A), individuals undergoing <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0ERVAE">MHD</abbrev> exhibited elevated blood levels of <abbrev xlink:title="oxidized LDL" id="ABBRID0EVVAE">Ox-LDL</abbrev>, with significantly higher values observed among participants in group C. These differences were found to be statistically significant across all groups, as indicated by the <italic>p</italic>-values &lt;0.001. According to Manabe et al., the mean <abbrev xlink:title="oxidized LDL" id="ABBRID0E2VAE">Ox-LDL</abbrev> concentration in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E6VAE">MHD</abbrev> patients was 74.6±28.1 U/L.<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup> Hou et al. showed that individuals receiving <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EKWAE">MHD</abbrev> had higher <abbrev xlink:title="oxidized LDL" id="ABBRID0EOWAE">Ox-LDL</abbrev> levels (89.15±12.3 U/L). This rise in levels is brought on by increased <abbrev xlink:title="oxidative stress" id="ABBRID0ESWAE">OS</abbrev> during several hemodialysis cycles, which in turn causes enhanced lipid peroxidation.<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup></p>
      <p>We observed significant findings in Doppler ultrasonography. The mean intima-media thickness and the thickness of the right and left CCA differed, demonstrating a p-value of less than 0.001. Our findings align with those reported by Mahmoud et al. who observed increased carotid artery IMT (1.0±0.7) in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E5WAE">MHD</abbrev> patients.<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> Elevated IMT serves as a marker for the progression of atherosclerotic alterations. This outcome suggests that individuals undergoing dialysis face an increased susceptibility to developing <abbrev xlink:title="cardiovascular disease" id="ABBRID0EJXAE">CVD</abbrev>.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> Based on these findings, it is evident that <abbrev xlink:title="Chronic kidney disease" id="ABBRID0EUXAE">CKD</abbrev> patients on <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EYXAE">MHD</abbrev> undergo <abbrev xlink:title="oxidative stress" id="ABBRID0E3XAE">OS</abbrev>, leading to the generation of inflammatory mediators and <abbrev xlink:title="oxidized LDL" id="ABBRID0EAYAE">Ox-LDL</abbrev>, both contributing to the development of atherosclerotic vascular disease. Several previous studies have investigated the carotid artery IMT ratio as a noninvasive biomarker and predictor of atherosclerotic heart disease.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> The high levels of <abbrev xlink:title="oxidized LDL" id="ABBRID0ELYAE">Ox-LDL</abbrev> and <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EPYAE">CCA-IMT</abbrev> indicate an enhanced status of lipid peroxidation in these patients.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup></p>
      <p>The dialysis procedure induces a decline in antioxidants and a rise in oxidative molecules, thereby exacerbating the pre-existing <abbrev xlink:title="oxidative stress" id="ABBRID0E2YAE">OS</abbrev>. The uremic state, coupled with the dialysis procedure, constitutes a significant risk factor for complications. Our study reveals that, in comparison to controls, <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0E6YAE">MHD</abbrev> patients exhibited lower <abbrev xlink:title="superoxide dismutase" id="ABBRID0EDZAE">SOD</abbrev> levels. A statistically significant increase in serum <abbrev xlink:title="malondialdehyde" id="ABBRID0EHZAE">MDA</abbrev> was observed when cases were compared to controls showing a <italic>p</italic>-value &lt;0.001, consistent with previous research findings.<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup> Notably, <abbrev xlink:title="superoxide dismutase" id="ABBRID0EUZAE">SOD</abbrev> levels in group C were remarkably low. Factors such as age, creatinine clearance, uremic status, the duration of <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EYZAE">MHD</abbrev>, the selective permeability of the dialysis machine membrane to antioxidants, and bacterial contaminants in the dialysate contribute to the potential mechanisms underlying this low level.</p>
      <p><abbrev xlink:title="oxidative stress" id="ABBRID0E5ZAE">OS</abbrev> remains a prevalent issue for individuals undergoing dialysis. Our study also identified a positive correlation between <abbrev xlink:title="oxidized LDL" id="ABBRID0EC1AE">Ox-LDL</abbrev> and <abbrev xlink:title="malondialdehyde" id="ABBRID0EG1AE">MDA</abbrev>, along with a negative correlation with <abbrev xlink:title="superoxide dismutase" id="ABBRID0EK1AE">SOD</abbrev>. This imbalance between oxidant and antioxidant levels contributes to the occurrence of <abbrev xlink:title="oxidative stress" id="ABBRID0EO1AE">OS</abbrev> related complications in these patients, emphasizing the importance of monitoring these biomarkers in <abbrev xlink:title="end-stage renal disease" id="ABBRID0ES1AE">ESRD</abbrev> patients on <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EW1AE">MHD</abbrev>. Incorporating appropriate antioxidants into treatment regimens after assessing serum <abbrev xlink:title="malondialdehyde" id="ABBRID0E11AE">MDA</abbrev> levels is recommended.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> The heightened state of <abbrev xlink:title="oxidative stress" id="ABBRID0EF2AE">OS</abbrev> is primarily attributed to an exogenous antioxidant-deficient diet, the accumulation of oxidative products, and the loss of antioxidant molecules during each hemodialysis session.<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup> This condition is closely linked to the onset of hypertension, prolonged inflammation, and <abbrev xlink:title="cardiovascular disease" id="ABBRID0EQ2AE">CVD</abbrev>. While administering antioxidants to patients undergoing <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EU2AE">MHD</abbrev> appears promising for preventing <abbrev xlink:title="oxidative stress" id="ABBRID0EY2AE">OS</abbrev>, it has not yet been integrated into routine clinical practice.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> The potential protective impact of antioxidant therapy against cellular stress, promising to improve the cardiovascular risk profile in <abbrev xlink:title="Chronic kidney disease" id="ABBRID0ED3AE">CKD</abbrev> and <abbrev xlink:title="end-stage renal disease" id="ABBRID0EH3AE">ESRD</abbrev>, needs clarification through large, prospective trials. Furthermore, routine monitoring of <abbrev xlink:title="oxidative stress" id="ABBRID0EL3AE">OS</abbrev> indicators in these patients is crucial to prevent the development of complications. The administration of antioxidants and statins to patients necessitates a personalized approach based on individual needs, determined through the analysis of laboratory reports encompassing biomarker levels.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> The variability of biomarker levels across patients underscores the importance of tailored interventions. In this situation, adding <abbrev xlink:title="oxidized LDL" id="ABBRID0EW3AE">Ox-LDL</abbrev>, <abbrev xlink:title="malondialdehyde" id="ABBRID0E13AE">MDA</abbrev>, and <abbrev xlink:title="superoxide dismutase" id="ABBRID0E53AE">SOD</abbrev> tests to the usual biomarkers is recommended to improve prediction abilities. By assessing these biomarker levels, adjustments to dietary and medicinal requirements can be made, aiding physicians in formulating long-term prognoses for patients. Specifically, patients exhibiting elevated levels of <abbrev xlink:title="oxidized LDL" id="ABBRID0EC4AE">Ox-LDL</abbrev> and increased carotid artery IMT should receive targeted counseling, designating them as high-risk individuals for vascular disorders and necessitating corresponding counseling strategies.</p>
    </sec>
    <sec sec-type="Conclusion" id="SECID0EG4AE">
      <title>Conclusion</title>
      <p>﻿<abbrev xlink:title="oxidized LDL" id="ABBRID0EM4AE">Ox-LDL</abbrev> functions as a biomarker indicating lipid peroxidation and <abbrev xlink:title="oxidative stress" id="ABBRID0EQ4AE">OS</abbrev>. <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EU4AE">MHD</abbrev> patients experience heightened <abbrev xlink:title="oxidative stress" id="ABBRID0EY4AE">OS</abbrev>, making <abbrev xlink:title="oxidized LDL" id="ABBRID0E34AE">Ox-LDL</abbrev> a reliable indicator for detecting atherosclerotic disease in this group. <abbrev xlink:title="superoxide dismutase" id="ABBRID0EA5AE">SOD</abbrev> levels are diminished in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EE5AE">MHD</abbrev> patients, while <abbrev xlink:title="malondialdehyde" id="ABBRID0EI5AE">MDA</abbrev> levels are substantially higher in patients on <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EM5AE">MHD</abbrev>. <abbrev xlink:title="oxidative stress" id="ABBRID0EQ5AE">OS</abbrev> increases as the duration of dialysis increases, and both SBP and DBP were significantly higher than those of the control group. Changes in serum <abbrev xlink:title="oxidized LDL" id="ABBRID0EU5AE">Ox-LDL</abbrev> levels and <abbrev xlink:title="common carotid artery intima-media thickness" id="ABBRID0EY5AE">CCA-IMT</abbrev> are notably apparent in hemodialysis-treated <abbrev xlink:title="end-stage renal disease" id="ABBRID0E35AE">ESRD</abbrev> patients. Our findings reveal a significant elevation of <abbrev xlink:title="oxidized LDL" id="ABBRID0EA6AE">Ox-LDL</abbrev> in <abbrev xlink:title="maintenance hemodialysis" id="ABBRID0EE6AE">MHD</abbrev> patients, serving as a marker for detecting subclinical atherosclerosis.</p>
      <sec sec-type="Limitations" id="SECID0EI6AE">
        <title>Limitations</title>
        <p>One important limitation is that our study was conducted at only one center, so our findings may not apply to a wider group of people. Unfortunately, we could not include measurements of myeloperoxidase and C-reactive protein levels due to limited resources. Also, we did not examine specific cardiac biomarkers or coronary arteries in high-risk individuals. To make our conclusions more dependable and relevant, we suggest more studies in different centers or with different groups of people. If our findings are replicated in various settings, it will make our results more trustworthy and help us understand the topic better.</p>
      </sec>
    </sec>
    <sec sec-type="Acknowledgements" id="SECID0EN6AE">
      <title>Acknowledgements</title>
      <p>The authors are grateful for the patients who so willingly gave their time and participated in this study.</p>
    </sec>
    <sec sec-type="Disclaimer" id="SECID0ES6AE">
      <title>Disclaimer</title>
      <p>This paper has been derived from Dr. Sadia Rehma’s M.Phil. thesis.</p>
    </sec>
    <sec sec-type="Funding" id="SECID0EX6AE">
      <title>Funding</title>
      <p>The authors have no funding to report.</p>
    </sec>
    <sec sec-type="Competing Interests" id="SECID0E36AE">
      <title>Competing Interests</title>
      <p>The authors have declared that no competing</p>
    </sec>
    <sec sec-type="Author contributions" id="SECID0ECAAG">
      <title>Author contributions</title>
      <p>S.R.: conceptualization, investigation, methodology, data curation, supervision, writing – original draft, validation, visualization, project administration, writing – review &amp; editing, resources and funding acquisition; S.K.: conceptualization, supervision, resources, methodology, visualization, investigation and validation; M.R.S.: investigation, methodology, formal analysis, data curation, software, resources, funding acquisition, writing – original draft and writing – review and editing; S.S.: investigation, data curation; M.T.K: investigation, data curation; S.B.: data curation and writing – original draft.</p>
    </sec>
  </body>
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