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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.v10i1.247</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
      <title-group>
        <article-title>Depression in prevalent maintenance hemodialysis patients</article-title>
      </title-group>
     <contrib-group content-type="authors">


        <contrib contrib-type="author">
          <name>
            <surname>Rather</surname>
            <given-names>Jawad Iqbal</given-names>
          </name>
		  <xref ref-type="aff" rid="aff1">1</xref>
		  <xref ref-type="corresp" rid="cor1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Farooq</surname>
            <given-names>Amir</given-names>
          </name>
		  <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wani</surname>
            <given-names>Muzamil Ahmad</given-names>
          </name>
		  <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Saleem</surname>
            <given-names>Nuha</given-names>
          </name>
		  <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Shah</surname>
            <given-names>Zeeza Hussain</given-names>
          </name>
		  <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wani</surname>
            <given-names>Muzafar Maqsood</given-names>
          </name>
		  <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wani</surname>
            <given-names>Imtiyaz Ahmad</given-names>
          </name>
		  <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Khan</surname>
            <given-names>Imran</given-names>
          </name>
		  <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>

		<aff id="aff1"><label>1</label>Department of Medicine, Government Medical College Anantnag, 192101 Anantnag, India</aff>
<aff id="aff2"><label>2</label>Department of Nephrology, Sher-I Kashmir Institute of Medical Sciences, 190011 Srinagar, India</aff>
<aff id="aff3"><label>3</label>Department of Medicine, Sher-I-Kashmir Institute of Medical Sciences, 190011 Srinagar, India</aff>
      </contrib-group>
	  
<author-notes>
<corresp id="cor1"><italic>Author for correspondence:</italic> <email>jawadiqbal93@gmail.com</email></corresp>

</author-notes>


<pub-date pub-type="epub">
<day>20</day>
<month>06</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="collection"><year>2026</year></pub-date>
<volume>10</volume>
<issue>1</issue>
<fpage>41</fpage>
<lpage>46</lpage>
<history>
<date date-type="received">
<day>11</day>
<month>07</month>
<year>2025</year></date> 
<date date-type="accepted">
<day>09</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>: Depression is a common mental health issue among patients 
on maintenance hemodialysis (MHD), significantly impacting their quality of life 
and overall prognosis. While prior studies have reported variable prevalence 
rates globally, data specific to MHD patients in our regional tertiary care 
setting remain limited. This study addresses this gap byevaluating prevalence, 
severity, and associated factors of depression, thereby supporting evidence-based 
health strategies in this at-risk population. <bold>Methods</bold>: This 
cross-sectional study evaluated the prevalence and severity of depression in 74 
patients undergoing MHD at a tertiary care center in North India. The 
Montgomery-&#xC5;sberg Depression Rating Scale (MADRS) was used to assess the 
symptoms of depression. <bold>Results</bold>: The overall prevalence of depression 
was 59.5%. Among the participants 33.8% had mild depression, 23.0% had 
moderate depression, and 2.7% had severe depression. Patients dialyzed via 
tunneled hemodialysis catheters exhibited significantly higher rates of 
depression compared to those with arteriovenous fistulas (<italic>p</italic> &lt; 0.05). 
Patients with a transplant prospect had lower rates of depression compared to 
those without (<italic>p</italic> &lt; 0.05). <bold>Conclusions</bold>: Depression is highly 
prevalent in patients on MHD. This study highlights the need for routine 
depression screening and appropriate management in this vulnerable population to 
improve their overall well-being and treatment outcomes.</p>
</abstract>
<kwd-group>
<kwd>MHD</kwd>
<kwd>Depression</kwd>
<kwd>MADRS</kwd>
<kwd>AV fistula</kwd>
<kwd>Vascular access</kwd>
</kwd-group>
</article-meta>
</front>
<body>


   <sec id="S1" sec-type="intro">
   
     <title>Introduction</title>  
     <p>Kidney diseases have a significant impact on global health. Chronic kidney 
disease (CKD) represents a significant and escalating global health challenge, 
with a worldwide prevalence estimated at 850 million individuals, corresponding 
to 14.2% of the global population [<xref ref-type="bibr" rid="ref1">1</xref>]. The prevalence of CKD is projected to 
rise, driven by increasing rates of risk factors such as diabetes, hypertension, 
and obesity [<xref ref-type="bibr" rid="ref2">2</xref>]. Major depressive disorder (MDD) is a prevalent mental health 
condition that affects over 332 million people worldwide. The lifetime prevalence 
of MDD is estimated at approximately 10.8%, and it contributes to an estimated 1 
trillion USD in lost global productivity annually [<xref ref-type="bibr" rid="ref3">3</xref>].</p>  
     <p>In patients receiving maintenance hemodialysis (MHD) for end-stage renal disease 
(ESRD), depression represents the most frequent psychiatric comorbidity, with an 
estimated prevalence ranging from 20% to 40%. Self- or clinician-administered 
questionnaires have been shown to detect depression more frequently than 
structured clinical interviews. A strong link between depression and increased 
mortality risk has been established among patients undergoing MHD [<xref ref-type="bibr" rid="ref4">4</xref>]. Although 
affective and cognitive symptoms of depression may serve as more robust 
predictors of long-term mortality than somatic symptoms in MHD patients, 
depressive symptomatology independently contributes to dialysis nonadherence, 
increased healthcare resource utilization, and a reduced quality of life (QoL) 
[<xref ref-type="bibr" rid="ref5">5</xref>].</p>  
     <p>Depression screening and management remain suboptimal within the dialysis population, despite its high prevalence and well-established impact on clinical outcomes [<xref ref-type="bibr" rid="ref6">6</xref>]. 
Addressing this disparity is crucial for improving the overall well-being and 
survival outcomes of patients undergoing MHD.</p>  
     <p>The prevalence of depression and its associated factors may vary across the MHD 
population due to ethnic, socioeconomic, and clinical determinants. Evaluating 
these variables is essential to informing targeted interventions aimed at 
improving clinical outcomes and quality of life. Given the prevalence of 
depression remains largely uncharacterized in our specific MHD cohort, this study 
was conducted to assess the prevalence of depression in patients receiving MHD.</p>  
   </sec>  
  
  <sec id="S2" sec-type="material|method">
     <title>Materials and methods</title>  
     <p>This cross-sectional study was conducted between September 2024 and March 2025 
at the Department of Nephrology, Sher-I-Kashmir Institute of Medical Sciences, 
Srinagar, India.</p>  
     <p>Patients aged &#x2265;18 years who had been on maintenance hemodialysis for at 
least six months were included in the study. Patients with a pre-existing 
diagnosis of depression or any other psychiatric disorder, as well as those 
patients with hospitalization less than 2 months ago, were excluded.</p>  
     <p>A total of 74 patients were enrolled in the study. The sample size was 
determined using the formula for estimating a single population proportion: n = 
[<italic>Z</italic><sup>2</sup> &#xD7; <italic>p</italic>(1 &#x2212; <italic>p</italic>)]/<italic>d</italic><sup>2</sup>, where <italic>Z</italic> = 1.96 (95% Confidence 
interval, CI), <italic>p</italic> = 0.5 (conservative estimate due to limited prior 
regional data), and <italic>d</italic> = 0.10, yielding an estimated sample size of 
approximately 96. The final sample size of 74, achieved through consecutive 
eligible enrollment over the study period, provided sufficient power for the 
primary prevalence endpoint (observed prevalence 59.5%).</p>  
     <p>A detailed history was taken, and a comprehensive general and systemic 
examination was performed. Patients were interviewed regarding various 
demographic related-factors, including rural versus urban dwelling, distance of 
hemodialysis center from the place of residence, number of medications per day, 
and whether accompanied by a caregiver to the hemodialysis center.</p>  
     <p>Assessment of the severity of depressive symptoms was performed using the 
Montgomery-Asberg Depression Rating Scale (MADRS), which is a 10-item rating 
scale where each item is scored from 0 to 6, resulting in a total score ranging 
from 0 to 60 [<xref ref-type="bibr" rid="ref6">6</xref>]. The total MADRS score was obtained by summing the scores of all 
10 items, with maximum possible score is 60. Higher scores indicate more severe 
depressive symptoms. Scors were interpreted as follows: 0 to 6&#x2014;no depression, 7 
to 19&#x2014;mild depression, 20 to 34&#x2014;moderate depression, 35 to 60&#x2014;severe 
depression.</p>  
     <p>The primary aim of the study was to evaluate the prevalence and severity of 
depression in the study population.</p>  
   </sec>  
   <sec id="S3">  
     
     <title>Statistical methods</title>  
     <p>The data obtained was saved in Microsoft Excel 2024 (Microsoft, Redmond, WA, USA) and exported to the data editor of 
Statistical Package for Social Sciences (SPSS23, IBM, Armonk, NY, USA). 
Continuous variables were expressed as mean &#xB1; Standard deviation (SD), and 
categorical variables were expressed as frequencies and percentages. Data was 
presented in tabulated form. Fisher&#x2019;s exact test was applied to compare 
categorical variables. A two-tailed <italic>p</italic>-value was used for calculating 
statistical significance, and <italic>p</italic> &lt; 0.05 was considered statistically 
significant.</p>  
   </sec>  
   <sec id="S4" sec-type="results">
   
     <title>Results</title>  
     <p>A total of 74 patients were included in the study. The mean age of the patients 
was 52 (&#xB1;14.2) years. Out of the 74 participants, 47 (63.5%) were males, 
and 27 (36.5%) were females. 40 (54.1%) patients belonged to the age group of 
40&#x2013;60 years. 66 (89.2%) had hypertension and 28 (37.8%) had a history of 
diabetes mellitus. The mean hemoglobin level was 7.9 (&#xB1;1.3) g/dL. 52 
(70.3%) patients were from a rural background. 56 (75.7%) patients had an 
arteriovenous fistula (AVF) as vascular access, while 18 (24.3%) had a tunneled 
hemodialysis catheter (HDC). The mean dialysis vintage was 20.8 (&#xB1;15.0) 
months. The baseline parameters of the study population are presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>  
    

<table-wrap id="T1" orientation="portrait" position="float">
<label>Table 1.</label>
<caption>
<p>Baseline characteristics of the study population.</p></caption>
<table frame="border" rules="all">
<thead valign="top">

<tr> 
<th align="left" colspan="2">Parameter</th> 
<th align="center">Value</th></tr>
</thead>
<tbody valign="top"> 
<tr> 
<td align="left" colspan="2">Mean age (&#xB1;SD) in years</td> 
<td align="center">52 (&#xB1;14.2)</td></tr> 
<tr> 
<td align="left" colspan="3">Gender, n (%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Male</td> 
<td align="center">47 (63.5%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Female</td> 
<td align="center">27 (36.5%)</td></tr> 
<tr>
<td align="left">Marital status, n (%)</td> 
<td align="left">Married</td> 
<td align="center">58 (78.4%)</td></tr> 
<tr> 
<td align="left" colspan="3">Comorbidities, n (%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Hypertension</td> 
<td align="center">66 (89.2%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Diabetes Mellitus</td> 
<td align="center">28 (37.8%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Cardiovascular Disease</td> 
<td align="center">7 (9.5%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Mean Hemoglobin g/dL (&#xB1;SD)</td> 
<td align="center">7.9 (&#xB1;1.3)</td></tr> 
<tr> 
<td align="left" colspan="3">Residence, n (%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Rural</td> 
<td align="center">52 (70.3%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Urban</td> 
<td align="center">22 (29.7%)</td></tr> 
<tr>
<td align="left">Lifestyle factor n (%)</td> 
<td align="left">Active Smoker</td> 
<td align="center">6 (8.1%)</td></tr> 
<tr> 
<td align="left" colspan="3">Vascular access, n (%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">AVF</td> 
<td align="center">56 (75.7%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Tunneled HDC (N (%))</td> 
<td align="center">18 (24.3%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Transplant Prospect (N (%))</td> 
<td align="center">15 (20.3%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Mean dialysis vintage (mon) (&#xB1;SD)</td> 
<td align="center">20.8 (&#xB1;15.0)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Mean distance of HD center from residence in kilometers (&#xB1;SD)</td> 
<td align="center">17.2 (&#xB1;14.3)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Accompanied by someone to Hemodialysis center (N (%))</td> 
<td align="center">72 (97.3%)</td></tr> 
<tr>
<td align="left"></td> 
<td align="left">Mean number of medications per day (&#xB1;SD)</td> 
<td align="center">7.7 (&#xB1;2.3)</td></tr> 
</tbody>
</table>

<table-wrap-foot>
<fn id="TF1-1"><p>SD: standard deviation; AVF: arteriovenous fistula; HDC: hemodialysis catheter; 
HD: hemodialysis.</p></fn></table-wrap-foot>
</table-wrap>


     <p>In terms of underlying kidney disease, 28 (37.8%) had diabetic kidney disease, 
followed by unknown etiology in 25 (33.8%), Fig. <xref ref-type="fig" rid="F1">1</xref>.</p>  
   
<fig id="F1" orientation="portrait" position="float">
<label>Figure 1:</label>
<caption><p><bold>Etiology of kidney disease. </bold>DKD: diabetic kidney disease; CGN: 
chronic glomerulonephritis; ADPKD: adult dominant polycystic kidney disease; 
CAKUT: congenital abnormalities of the kidney and urinary tract.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://jrenhep.com/article/download/247/version/220/399/2792/fig1.jpg"/>
</fig>



     <p>Depression was identified in 44 (59.5%) patients based on MADRS score. Among 
these patients, 25 (33.8%) had mild depression, 17 (23.0%) had moderate 
depression, and 2 (2.7%) had severe depression, as shown in <xref ref-type="table" rid="T2">Table 2</xref>.</p>  
  

<table-wrap id="T2" orientation="portrait" position="float">
<label>Table 2.</label>
<caption>
<p>Number of patients with and without depression (N = 74).</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th align="left">Depression Severity</th> 
<th align="center">Frequency (n)</th> 
<th align="center">Percentage</th></tr>
</thead>
<tbody valign="top">  
<tr>
<td align="left">No depression</td> 
<td align="center">30</td> 
<td align="center">40.5</td></tr> 
<tr>
<td align="left">Mild Depression</td> 
<td align="center">25</td> 
<td align="center">33.8</td></tr> 
<tr>
<td align="left">Moderate Depression</td> 
<td align="center">17</td> 
<td align="center">23.0</td></tr> 
<tr>
<td align="left">Severe Depression</td> 
<td align="center">2</td> 
<td align="center">2.7</td></tr> 
</tbody>
</table>
</table-wrap>

     <p>In subgroup analyses, age less than or more than 30 years of age was not 
associated with depression. Similarly, gender, marital status, urban <italic>vs.</italic> rural dwelling, or diabetes mellitus were not significantly associated with 
depression. Use of tunneled HDC was significantly associated with a higher rate 
of depression as compared with AVF as vascular access. On the other hand, 
patients who had a transplant prospect had lower rates of depression as compared 
to those without a transplant prospect, as shown in <xref ref-type="table" rid="T3">Table 3</xref>.</p>  
  

<table-wrap id="T3" orientation="portrait" position="float">
<label>Table 3.</label>
<caption>
<p>Association of depression rates in various subgroups.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th align="left"></th> 
<th align="center"></th> 
<th align="center">Depression Present</th> 
<th align="center">No Depression</th> 
<th align="center">Fisher&#x2019;s exact Test, <italic>p</italic>-Value</th></tr> 
</thead>
<tbody valign="top">
<tr> 
<td align="left" colspan="5">Age (yr)</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Age &lt;30</td> 
<td align="center">4</td> 
<td align="center">4</td> 
<td align="center" valign="middle" rowspan="2">0.707</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Age &#x2265;30</td> 
<td align="center">40</td> 
<td align="center">26</td></tr> 
<tr> 
<td align="left" colspan="5">Gender</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Male</td> 
<td align="center">28</td> 
<td align="center">19</td> 
<td align="center" valign="middle" rowspan="2">&gt;0.999</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Female</td> 
<td align="center">16</td> 
<td align="center">11</td></tr> 
<tr> 
<td align="left" colspan="5">Married</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Yes</td> 
<td align="center">34</td> 
<td align="center">24</td> 
<td align="center" valign="middle" rowspan="2">&gt;0.999</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">No</td> 
<td align="center">10</td> 
<td align="center">6</td></tr> 
<tr> 
<td align="left" colspan="5">Dwelling</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Rural</td> 
<td align="center">31</td> 
<td align="center">21</td> 
<td align="center" valign="middle" rowspan="2">&gt;0.999</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Urban</td> 
<td align="center">13</td> 
<td align="center">9</td></tr> 
<tr> 
<td align="left" colspan="5">Diabetes Mellitus</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Yes</td> 
<td align="center">19</td> 
<td align="center">9</td> 
<td align="center" valign="middle" rowspan="2">0.331</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">No</td> 
<td align="center">25</td> 
<td align="center">21</td></tr> 
<tr> 
<td align="left" colspan="5">Vascular access</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">AVF</td> 
<td align="center">27</td> 
<td align="center">29</td> 
<td align="center" valign="middle" rowspan="2">0.001</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Tunneled HDC</td> 
<td align="center">17</td> 
<td align="center">1</td></tr> 
<tr> 
<td align="left" colspan="5">Transplant Prospect</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">Yes</td> 
<td align="center">5</td> 
<td align="center">10</td> 
<td align="center" valign="middle" rowspan="2">0.037</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">No</td> 
<td align="center">39</td> 
<td align="center">20</td></tr> 
<tr> 
<td align="left" colspan="5">Distance from home in Kilometers</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">&lt;20</td> 
<td align="center">23</td> 
<td align="center">10</td> 
<td align="center" valign="middle" rowspan="2">0.153</td></tr> 
<tr>
<td align="left"></td> 
<td align="center">&#x2265;20</td> 
<td align="center">21</td> 
<td align="center">20</td></tr>
</tbody>
</table>

<table-wrap-foot>
<fn id="TF3-1"><p><italic>p</italic>-value of &lt; 0.05 was taken as significant (Fisher&#x2019;s Exact Test). 
AVF: arteriovenous fistula; HDC: hemodialysis catheter.</p></fn></table-wrap-foot>
</table-wrap>


   </sec>  
  
<sec id="S5" sec-type="discussion">
     <title>Discussion</title>  
     <p>Depression is one of the most common mental disorders in patients on MHD and is 
a frequently overlooked [<xref ref-type="bibr" rid="ref7">7</xref>]. In the current study, 74 patients on MHD with a 
dialysis vintage of at least 6 months were evaluated for depression using the 
MADRS questionnaire.</p>  
     <p>The mean age of our study population was 52 (&#xB1;14.2) years, which is 
consistent with other studies from India. Hockham <italic>et al</italic>. [<xref ref-type="bibr" rid="ref8">8</xref>] conducted a 
multilevel analysis of the Nephroplus dialysis network across India and reported 
a median age of 53 years in the dialysis population. In our study, 47 (63.5%) 
participants were men, which aligns with other studies from India showing a 
gender disparity in access to hemodialysis [<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>]. This contrast with studies 
from developed countries, where a higher percentage of women undergoing 
hemodialysis. In the Dialysis Outcomes and Practice Patterns Study (DOPPS), 41% 
of the study population were women [<xref ref-type="bibr" rid="ref11">11</xref>]. The primary reason for this discrepancy 
may be explained by various sociocultural factors leading to decreased access to 
healthcare for women in India.</p>  
     <p>Twenty-eight patients (37.8%) of our study population had underlying diabetes 
mellitus, comparable to the study by Vijayan <italic>et al</italic>. [<xref ref-type="bibr" rid="ref12">12</xref>], which included 
897 hemodialysis patients, 335 (37.3%) had underlying diabetic kidney disease.</p>  
     <p>The mean hemoglobin concentration in our study was 7.9 (&#xB1;1.3) g/dL. Modi 
<italic>et al</italic>. [<xref ref-type="bibr" rid="ref13">13</xref>], reported that in the incident hemodialysis population, the 
mean hemoglobin concentration increased from 8.2 (&#xB1;1.7) g/dL in 2002 to 9.1 
(&#xB1;1.7) g/dL in 2005. Since our study included a prevalent hemodialysis 
population with a minimum vintage of six months, these findings highlight the 
needs for better management of anemia. The mean dialysis vintage was 20.8 
(&#xB1;15) months.</p>  
     <p>Fifty-six patients (75.7%) had an AVF, which is comparable with other Indian 
studies Bansal D <italic>et al</italic>. [<xref ref-type="bibr" rid="ref14">14</xref>] reported an AVF prevalence of 79% in the 
prevalent hemodialysis population. Fifty-two patients 52 (70.3%) were from a 
rural background. As per the Indian Chronic Kidney Disease (ICKD) study, 
two-thirds of the CKD patients in India reside in rural areas [<xref ref-type="bibr" rid="ref15">15</xref>].</p>  
     <p>The mean distance of the hemodialysis center from the place of residence was 
17.2 (&#xB1;14.3) kilometers. In India, the distance is variable, ranging from 
&gt;50 km in about 60% population [<xref ref-type="bibr" rid="ref16">16</xref>] to around 5 km in other states [<xref ref-type="bibr" rid="ref17">17</xref>].</p>  
     <p>The mean number of medications per day was 7.7 (&#xB1;2.3). Julie <italic>et al</italic>. [<xref ref-type="bibr" rid="ref18">18</xref>], in a study, including 176, 133 hemodialysis patients, reported a 
medication burden of 7.4 (&#xB1;3.8) in 2013, which decreased to 6.8 
(&#xB1;3.6) in 2017. The appropriateness of medication prescription should be 
regularly assessed. This is necessary to prevent harm, futility, and unnecessary 
cost incursion due to inappropriate medication prescription.</p>  
     <p>The overall prevalence of depression in our study population, as measured by the 
MADRS questionnaire, was 59.5%. Reported prevalence of depression among patients 
on hemodialysis (HD) varies widely, ranging from 8% to 71% [<xref ref-type="bibr" rid="ref19">19</xref>]. The varied 
prevalence of depression in this patient population may be attributed to 
differing patient demographics and different diagnostic criteria used for 
diagnosing depression. Using the MADRS scale in our study, 25 patients (33.8%) 
had mild depression, whereas 17 (23%) and 2 (2.7%) had moderate and severe 
depression, respectively.</p>  
     <p>The prevalence of depression was significantly higher in patients being dialyzed 
via tunneled HDC as compared with via AVF (<italic>p</italic>-value 0.001). Ahmet 
<italic>et al</italic>. [<xref ref-type="bibr" rid="ref20">20</xref>], in their survey of 180 patients who were on hemodialysis, 
reported that the Beck Depression Inventory score of more than 14 (signifying the 
diagnosis of depression) was significantly higher in patients being dialyzed via 
tunneled cuffed HDC as compared to those being dialyzed via AVF. Patients who are 
being dialyzed via tunneled HDC have a lower quality of life, more frequent 
access dysfunction, increased need for vascular access interventions, and lower 
solute clearance than patients with a functional AVF. These factors may explain 
the increased prevalence of depression in patients on tunneled HDC [<xref ref-type="bibr" rid="ref21">21</xref>].</p>  
     <p>Patients who were enrolled in the kidney transplant program had a significantly 
lower prevalence of depression compared with those who without a transplant 
prospect (<italic>p</italic>-value 0.03). Previous studies have reported that patients 
who have depressive symptoms have a lower chance of transplant listing [<xref ref-type="bibr" rid="ref22">22</xref>].</p>  
     <p>Stratification as per age (less than or more than 30 years), gender, marital 
status, urban versus rural residence, diabetes status, or distance from home 
(more than or less than 20 kilometers) did not reveal a statistically significant 
difference in the prevalence of depression.</p>  
     <p>The pathophysiological mechanisms contributing to depression in patients on MHD 
are multifactorial. Biologically, progression of CKD is associated with 
accumulation of uremic toxins as well as inflammatory markers, such as 
interleukin-6 and tumor necrosis factor-alpha, which alter the neurotransmitter 
system and exert neurotoxic effects, contributing to depressive symptomatology. 
Additionally, dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis in 
ESRD leads to subclinical hypercortisolemia, further exacerbating mood disorders. 
Nutritional deficiencies, anemia, and altered body composition are frequently 
observed in MHD patients, may also contribute to depressive symptoms and reduced 
quality of life. Psychologically, the chronic stress of living with a 
life-altering condition, frequent dialysis sessions, physical limitations, and 
altered social roles contribute to emotional distress and depression [<xref ref-type="bibr" rid="ref23">23</xref>].</p>  
     <p>This study highlights that depressive symptoms are highly prevalent in patients 
on MHD. These patients should be regularly screened for the symptoms of 
depression and actively managed. Depression in dialysis patients is associated 
with an increased risk of hospitalizations [<xref ref-type="bibr" rid="ref24">24</xref>], withdrawal from dialysis [<xref ref-type="bibr" rid="ref25">25</xref>], 
and all-cause mortality [<xref ref-type="bibr" rid="ref4">4</xref>]. Hence, depression should be addressed in these 
patients to improve patient outcomes.</p>  
     <p>The limitations of our study include a small sample size, which may limit 
generalizability. Larger studies are needed from our patient population to 
confirm these findings. In addition, educational background and socioeconomic 
status were not assessed. Future studies should be done to assess the treatment 
outcome and efficacy of various therapies for depression in this patient 
population.</p>  
   </sec>  
 <sec id="S6" sec-type="conclusions"> 
     <title>Conclusions</title>  
     <p>This study underscores the significant prevalence of depression among patients 
undergoing maintenance hemodialysis (MHD), with nearly 60% exhibiting depressive 
symptoms as measured by the MADRS questionnaire. Notably, the study identified a 
strong association between the use of tunneled hemodialysis catheters and higher 
rates of depression, as well as a protective effect linked to enrollment in 
kidney transplant programs. These findings highlight the critical need for 
routine depression screening and active management in MHD patients, given the 
known negative impacts of depression on hospitalization rates, dialysis 
withdrawal, and overall mortality. Although the study is limited by its small 
sample size and the lack of assessment of socioeconomic factors, necessitate 
further investigation through larger, more comprehensive studies, it provides 
valuable insight into the mental health challenges faced by this vulnerable 
population. Future research should evaluate the effectiveness of various 
therapeutic interventions for depression in MHD patients, with the ultimate goal 
of improving patient outcomes and quality of life.</p>  
   </sec>  
  
</body>
<back>
<ack>

  <sec id="S7">  
 
     <title>Availability of data and materials</title>  
     <p>The data is available and can be assessed on a reasonable request.</p>  
   </sec>  
   <sec id="S8">  
   
     <title>Author contributions</title>  
     <p>JIR&#x2014;designed the concept, collected data, and wrote the manuscript. AF and MAW&#x2014;helped in data collection and analysis. NS and ZHS&#x2014;helped in data 
collection. MMW, IAW and IK&#x2014;critically reviewed the manuscript. All authors read and approved the final manuscript.</p>  
   </sec>  
   <sec id="S9">  

     <title>Ethics approval and consent to participate</title>  
     <p>This study was approved by the institutional ethics committee SKIMS. The 
protocol number is 123/2024. Written informed consent was taken from the study 
participants.</p>  
   </sec>  
   <sec id="S10">  
   
     <title>Acknowledgment</title>  
     <p>We acknowledge the contribution of patients, residents, and the dialysis staff 
who made this study possible.</p>  
   </sec>  
   <sec id="S11">  
   
     <title>Funding</title>  
     <p>This research received no external funding.</p>  
   </sec>  
   <sec id="S12">  
    
     <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> Jawad Iqbal Rather, Amir Farooq, Muzamil Ahmad Wani, Nuha Saleem, Zeeza Hussain Shah, Muzafar Maqsood Wani, Imtiyaz Ahmad Wani, Imran Khan. Depression in prevalent maintenance hemodialysis patients. Journal of Renal and Hepatic Disorders. 2026; 10(1): 41-46. doi: 10.63268/jrenhp.v10i1.247.</p></fn></fn-group>



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