<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//TaxonX//DTD Taxonomic Treatment Publishing DTD v0 20100105//EN" "../../nlm/tax-treatment-NS0.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tp="http://www.plazi.org/taxpub" article-type="research-article" dtd-version="3.0" xml:lang="en">
  <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.e114369</article-id>
      <article-id pub-id-type="publisher-id">114369</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Urology</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Effects of body mass index on urinary lithogenic factors in urinary system stone patients</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Güler</surname>
            <given-names>Yavuz</given-names>
          </name>
          <email xlink:type="simple">yavuzguler1976@gmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-7770-8013</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Private Safa Hospital, Istanbul, Türkiye</addr-line>
        <institution>Private Safa Hospital</institution>
        <addr-line content-type="city">Istanbul</addr-line>
        <country>Turkiye</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Yavuz Güler, Private Safa Hospital, Istanbul, Türkiye; Email: <email xlink:type="simple">yavuzguler1976@gmail.com</email>; Tel.: +905058120376</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>29</day>
        <month>02</month>
        <year>2024</year>
      </pub-date>
      <volume>66</volume>
      <issue>1</issue>
      <fpage>80</fpage>
      <lpage>87</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/15A928A4-6A5B-509F-9BA1-49882F73D697">15A928A4-6A5B-509F-9BA1-49882F73D697</uri>
      <history>
        <date date-type="received">
          <day>18</day>
          <month>10</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>14</day>
          <month>01</month>
          <year>2024</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Yavuz Güler</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>Aim</bold>: Obesity and metabolic syndrome are becoming more prevalent these days. In addition, we know that urinary stone disease is also on the rise. In this study, we wanted to examine if body mass index (<abbrev xlink:title="body mass index" id="ABBRID0EZC">BMI</abbrev>) had a negative effect on the stone disease by evaluating 24-hour urinalysis in stone patients and recurrence rates in our region.</p>
        <p><bold>Materials and methods</bold>: From January 2017 to December 2019, a total of 193 patients were assessed retrospectively in terms of their 24-hour urine analysis results and blood parathyroid hormone (<abbrev xlink:title="parathormone" id="ABBRID0EBD">PTH</abbrev>) values. These patients were divided into 3 groups by their <abbrev xlink:title="body mass index" id="ABBRID0EFD">BMI</abbrev> &lt;25, 25-30, and ≥30 (group 1, 2, and 3, respectively). Demographic and 24-hour urine analysis data were compared between the groups. Patients with and without recurrent stones were divided into 2 groups and lithogenic factors were analyzed. Possible lithogenic risk factors for recurrent stone formation were examined in a multivariate logistic regression analysis. Pearson and Spearmen correlation analysis was used for correlation.</p>
        <p><bold>Results</bold>: Groups 1, 2, and 3 had 107, 55, and 31 patients, respectively. There was a statistically significant difference between the groups in their <abbrev xlink:title="body mass index" id="ABBRID0END">BMI</abbrev>, diabetes mellitus (<abbrev xlink:title="diabetes mellitus" id="ABBRID0ERD">DM</abbrev>), hypertension (<abbrev xlink:title="hypertension" id="ABBRID0EVD">HT</abbrev>), gout, spontaneous stone passage, and extracorporeal shock wave lithotripsy (<abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0EZD">ESWL</abbrev>) factors. While the mean of <abbrev xlink:title="body mass index" id="ABBRID0E4D">BMI</abbrev> was similar for groups 2 and 3, the mean of group 1 was statistically significantly lower. Group 3 exhibited statistically significant higher rates of <abbrev xlink:title="diabetes mellitus" id="ABBRID0EBE">DM</abbrev>, <abbrev xlink:title="hypertension" id="ABBRID0EFE">HT</abbrev>, and gout diseases in comparison to the other groups. <abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0EJE">ESWL</abbrev> and spontaneous stone removal factors were statistically significantly higher in groups 2 and 3 than in group 1. According to the results of the 24-hour urine analysis, the urinary pH, uric acid, calcium, oxalate, and phosphate values were statistically different in group 1 from other groups. Urinary pH was more acidic and uric acid, calcium, oxalate, and phosphate values were higher in groups 2 and 3. Only <abbrev xlink:title="body mass index" id="ABBRID0ENE">BMI</abbrev> was statistically different from the lithogenic factors in the patient groups with and without recurrent stones. Also, in the multifactorial logistic regression analysis, <abbrev xlink:title="body mass index" id="ABBRID0ERE">BMI</abbrev> factor was found to be significant in duplicate stone formation. There was a weak but statistically significant correlation between the amount of uric acid and stone volume (<italic>r</italic>=0.307, <italic>p</italic>=0.04).</p>
        <p><bold>Conclusion</bold>: Increased <abbrev xlink:title="body mass index" id="ABBRID0E4E">BMI</abbrev> negatively affects the lithogenic factors in urine and facilitates the formation of recurrent stones.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>BMI</kwd>
        <kwd>calcium</kwd>
        <kwd>citrate</kwd>
        <kwd>cystine</kwd>
        <kwd>lithogenic factors</kwd>
        <kwd>magnesium</kwd>
        <kwd>obesity</kwd>
        <kwd>oxalate</kwd>
        <kwd>phosphate</kwd>
        <kwd>PTH</kwd>
        <kwd>uric acid</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0EPF">
        <title>Citation</title>
        <p>Güler Y. Effects of body mass index on urinary lithogenic factors in urinary system stone patients. Folia Med (Plovdiv) 2024;66(1):80-87. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.66.e114369">10.3897/folmed.66.e114369</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="SECID0E2F">
      <title>Introduction</title>
      <p>Stone disease affects 7%-15% of the population and is a disease observed more often in men than in women (1.8/1). Genetic and environmental factors are the main causes of this disease. Factors like diabetes mellitus (<abbrev xlink:title="diabetes mellitus" id="ABBRID0EBG">DM</abbrev>), obesity, bariatric surgeries, small intestine surgeries, vitamin C supplements, nutritional habits, and excessively warm climate and working in warm environments for long durations are blamed for the etiology of this disease. Some of these factors affect urine pH, while some affect urinary metabolites.‌<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup></p>
      <p>Obesity has become a continuously increasing epidemic problem in the present day, especially in developed countries.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> Studies in recent times have reported that more than 30% of Americans are obese. Obesity is simultaneously a metabolic syndrome causing many morbid, mortal, and chronic diseases led by type 2 <abbrev xlink:title="diabetes mellitus" id="ABBRID0EUG">DM</abbrev>, heart diseases, hypertension, pregnancy complications, and sleep apnea. Based on epidemiological studies, urinary system stone disease may be added to the morbidities due to obesity. While recent epidemiological studies reported increasing prevalence of obesity<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup>, the prevalence of kidney stone disease was also reported to increase<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup>. This association leads to the conclusion that these diseases share a common pathophysiology. However, to date, very little is known about the pathophysiological relationship between obesity and stone disease. Some studies reported that obesity and being overweight lowered urine pH and increased uric acid, calcium, oxalate, and phosphate in urine.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
    </sec>
    <sec sec-type="Aim" id="SECID0EMH">
      <title>Aim</title>
      <p>In this study, we aimed to see whether there was a negative effect of weight on stone disease by assessing 24-hour urine analysis in stone patients in our region.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0ERH">
      <title>Materials and methods</title>
      <sec sec-type="Study design" id="SECID0EVH">
        <title>Study design</title>
        <p>This study has analytical and descriptive qualities. After receiving Ethics Committee permission (Health Sciences University XX Training and Research Hospital Ethics Committee, date 11.3.2022 and decision number 95), the 24-hour urine analysis of patients performed between January 2017 and December 2019 were retrospectively assessed. Patients with a stone disease history during the previous 8 weeks receiving diet and medical treatment for stone disease, pregnant or lactating women, patients with cystinuria, inflammatory bowel disease, chronic renal failure, hepatic disease, thyroid or parathyroid disease, immunological disease, ileal or colonic resection, bariatric surgery, struvite stones, or primary hyperoxaluria and receiving potassium citrate, hydrochlorothiazide, vitamin B6, vitamin C, allopurinol, glucocorticoids, triamterene, indinavir and sulfadiazine and calcium preparations that may affect 24-hour urine parameters were excluded from the study. Patients aged ≥16 years with all anthropometric (height and weight) data were included in the study. Files for a total of 230 patients meeting the study criteria were investigated and we assessed 195 patients with full data using 24-hour urine results. To determine whether 24-hour urine had been correctly collected or not, urine creatinine was measured. Patients with values for urine creatinine of ≥800 mg/day for men and ≥600 mg/day for women were accepted as having 24-hour urine collected accurately. All participants provided informed consent.</p>
        <p>All patients were divided into 3 groups according to their body mass index values as &lt;25, between 25 and 30, and ≥30, respectively. Group 1 comprised patients with <abbrev xlink:title="body mass index" id="ABBRID0E3H">BMI</abbrev> &lt;25 and group 2 comprised patients with <abbrev xlink:title="body mass index" id="ABBRID0EBAAC">BMI</abbrev> between 25 and 30, and group 3 – with <abbrev xlink:title="body mass index" id="ABBRID0EFAAC">BMI</abbrev> ≥30. Group 1, 2 and 3 included 107, 55, and 31 patients, respectively. Their age, <abbrev xlink:title="diabetes mellitus" id="ABBRID0EJAAC">DM</abbrev>, hypertension (<abbrev xlink:title="hypertension" id="ABBRID0ENAAC">HT</abbrev>), gout, spontaneous stone passage, extracorporeal shock wave lithotripsy (<abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0ERAAC">ESWL</abbrev>), percutaneous nephrolithotomy (<abbrev xlink:title="percutaneous nephrolithotomy" id="ABBRID0EVAAC">PCNL</abbrev>) and family history of stone, stone volume were investigated as demographic data. Parameters in 24-hour urine analysis included pH, creatinine, calcium, oxalate, uric acid, cystine, citrate, phosphate and magnesium values, and blood parathormone (<abbrev xlink:title="parathormone" id="ABBRID0EZAAC">PTH</abbrev>).We considered patients with recurrent stones who had undergone at least 2 spontaneous stone removal and/or <abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0E4AAC">ESWL</abbrev> and/or stone operations. Then, lithogenic factors were analyzed by dividing patients with and without recurrent stones into 2 groups.</p>
      </sec>
      <sec sec-type="Urine collection" id="SECID0EBBAC">
        <title>Urine collection</title>
        <p>Patients began collecting urine in a collection container after first morning urination. From that point, all 24-hour urine (including from the following morning) was accumulated in the collection container. The sample was then brought directly to the hospital in the morning and given to the laboratory.</p>
      </sec>
      <sec sec-type="methods" id="SECID0EGBAC">
        <title>Methods of analysis</title>
        <p>Uric acid, calcium, oxalate, phosphate, magnesium, and citrate were investigated with the photometric method and results are given as mg/24 hours. Cystine was measured with the GC-MS method and results are reported as mg/day. Urine pH was measured with the dipstick method in fresh urine samples from first morning urination. Blood <abbrev xlink:title="parathormone" id="ABBRID0EMBAC">PTH</abbrev> was investigated with the ECLIA method and results are given as pg/mL. Abnormal values were urine volume less than 2000 cc/day, calcium more than 200 mg/day, magnesium more than 73 mg/day, oxalate more than 40 mg/day, citrate more than 250 mg/day, uric acid more than 600 mg/day, phosphate more than 1300 mg/day, and urine pH below 5.5.</p>
      </sec>
      <sec sec-type="Statistical analysis" id="SECID0EQBAC">
        <title>Statistical analysis</title>
        <p>Statistical analyses were performed using the SPSS 22.0 (IBM, New York, USA). Continuous variables are given as mean ± standard deviation, while categoric data are given as frequency distribution and percentages (%). Data were assessed with the Kolmogorov-Smirnov and Shapiro-Wilk tests for fit to normal distribution. Normally distributed continuous variable data were compared with one-way ANOVA, and categorical data were compared with Kruskal-Wallis analysis. Bonferroni tests were used for post-hoc analyses. T test and chi-square test were used for analysis between groups with and without recurrent stones. Multivariate logistic regression analysis was performed to analyze the factors affecting recurrent stone formation. <italic>P</italic>&lt;0.05 was accepted as statistically significant. The data were analyzed at a 95% confidence level and the threshold for statistical significance was accepted as <italic>p</italic>&lt;0.05 for all analyses. The correlation between urinary lithogenic factors and stone volume was tested with Pearson’s analysis, and the correlation between urinary lithogenic factors and surgical treatment requirements was tested with the Spearmen analysis (<italic>r</italic>&gt;0.7, strong correlation, and statistical significance was set at <italic>p</italic>&lt;0.05).</p>
      </sec>
      <sec sec-type="Results" id="SECID0E5BAC">
        <title>Results</title>
        <p>Groups 1, 2, and 3 comprised 107, 55, and 31 patients, respectively. There was no statistical difference between the groups in age, sex, <abbrev xlink:title="percutaneous nephrolithotomy" id="ABBRID0EECAC">PCNL</abbrev>, family history and stone volume factors. There was a statistically significant difference between the groups in <abbrev xlink:title="body mass index" id="ABBRID0EICAC">BMI</abbrev>, <abbrev xlink:title="diabetes mellitus" id="ABBRID0EMCAC">DM</abbrev>, <abbrev xlink:title="hypertension" id="ABBRID0EQCAC">HT</abbrev>, gout, spontaneous stone passage, and <abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0EUCAC">ESWL</abbrev> factors. While the mean of <abbrev xlink:title="body mass index" id="ABBRID0EYCAC">BMI</abbrev> was similar for groups 2 and 3, the mean of group 1 was statistically significantly lower. <abbrev xlink:title="diabetes mellitus" id="ABBRID0E3CAC">DM</abbrev>, <abbrev xlink:title="hypertension" id="ABBRID0EADAC">HT</abbrev> and gout diseases were statistically significantly higher in group 3 than in the other groups. <abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0EEDAC">ESWL</abbrev> and spontaneous stone passage factors were statistically significantly higher in groups 2 and 3 than in group 1 <bold>(Table <xref ref-type="table" rid="T1">1</xref>)</bold>.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Demographic characteristics</p>
          </caption>
          <table id="TID0EEFAE" rules="all">
            <tbody>
              <tr>
                <td rowspan="3" colspan="1"/>
                <td rowspan="3" colspan="1">
                  <bold>Group 1 (<abbrev xlink:title="body mass index" id="ABBRID0EVHAE">BMI</abbrev> &lt;25)</bold>
                </td>
                <td rowspan="3" colspan="1">
                  <bold>Group 2 (<abbrev xlink:title="body mass index" id="ABBRID0ECIAE">BMI</abbrev> 25-30)</bold>
                </td>
                <td rowspan="3" colspan="1">
                  <bold>Group 3 (<abbrev xlink:title="body mass index" id="ABBRID0ENIAE">BMI</abbrev> ≥30)</bold>
                </td>
                <td rowspan="3" colspan="1">
                  <bold>
                    <italic>p</italic>
                  </bold>
                </td>
                <td rowspan="1" colspan="3">
                  <bold>Post hoc test</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="3">
                  <bold><italic>P</italic> value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Group 1-2</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Group 1-3</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Group 2- 3</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Age, year, (mean±SD) *</td>
                <td rowspan="1" colspan="1">33.8±10.8</td>
                <td rowspan="1" colspan="1">32.0±10.3</td>
                <td rowspan="1" colspan="1">34.1±9.0</td>
                <td rowspan="1" colspan="1">0.784</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Sex, no (%)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.530</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">42 (39.3%)</td>
                <td rowspan="1" colspan="1">24 (41%)</td>
                <td rowspan="1" colspan="1">20 (65%)</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">Male</td>
                <td rowspan="1" colspan="1">65 (60.7%)</td>
                <td rowspan="1" colspan="1">31 (56%)</td>
                <td rowspan="1" colspan="1">11 (35%)</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">Total</td>
                <td rowspan="1" colspan="1">107</td>
                <td rowspan="1" colspan="1">55</td>
                <td rowspan="1" colspan="1">31</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"><abbrev xlink:title="body mass index" id="ABBRID0EJOAE">BMI</abbrev>, (kg/m<sup>2</sup>) (mean±SD) *</td>
                <td rowspan="1" colspan="1">22.7±3.8</td>
                <td rowspan="1" colspan="1">28.4±2.6</td>
                <td rowspan="1" colspan="1">34.2±1.4</td>
                <td rowspan="1" colspan="1">0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.145</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"><abbrev xlink:title="diabetes mellitus" id="ABBRID0EJPAE">DM</abbrev>, n (%)</td>
                <td rowspan="1" colspan="1">15 (14%)</td>
                <td rowspan="1" colspan="1">14 (25%)</td>
                <td rowspan="1" colspan="1">11 (35%)</td>
                <td rowspan="1" colspan="1">0.013</td>
                <td rowspan="1" colspan="1">0.260</td>
                <td rowspan="1" colspan="1">0.028</td>
                <td rowspan="1" colspan="1">0.768</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"><abbrev xlink:title="hypertension" id="ABBRID0EHQAE">HT</abbrev>, n (%)</td>
                <td rowspan="1" colspan="1">14 (13%)</td>
                <td rowspan="1" colspan="1">11 (20%)</td>
                <td rowspan="1" colspan="1">10 (32%)</td>
                <td rowspan="1" colspan="1">0.034</td>
                <td rowspan="1" colspan="1">0.838</td>
                <td rowspan="1" colspan="1">0.014</td>
                <td rowspan="1" colspan="1">0.223</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Gout, n (%)</td>
                <td rowspan="1" colspan="1">1 (0.9%)</td>
                <td rowspan="1" colspan="1">2 (4%)</td>
                <td rowspan="1" colspan="1">6 (20%)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">1.000</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.002</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Spontaneous stone expulsion, n (%)</td>
                <td rowspan="1" colspan="1">21 (19.2%)</td>
                <td rowspan="1" colspan="1">33 (60%)</td>
                <td rowspan="1" colspan="1">15 (48%)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.06</td>
                <td rowspan="1" colspan="1">0.744</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"><abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0EXSAE">ESWL</abbrev>, n (%)</td>
                <td rowspan="1" colspan="1">18 (16.8%)</td>
                <td rowspan="1" colspan="1">23 (41%)</td>
                <td rowspan="1" colspan="1">14 (45%)</td>
                <td rowspan="1" colspan="1">0.001</td>
                <td rowspan="1" colspan="1">0.003</td>
                <td rowspan="1" colspan="1">0.008</td>
                <td rowspan="1" colspan="1">1.000</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"><abbrev xlink:title="percutaneous nephrolithotomy" id="ABBRID0EVTAE">PCNL</abbrev>, n (%)</td>
                <td rowspan="1" colspan="1">8 (7.5%)</td>
                <td rowspan="1" colspan="1">10 (18%)</td>
                <td rowspan="1" colspan="1">6 (20%)</td>
                <td rowspan="1" colspan="1">0.089</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Family history positivity, n (%)</td>
                <td rowspan="1" colspan="1">63 (%58.8)</td>
                <td rowspan="1" colspan="1">31 (56%)</td>
                <td rowspan="1" colspan="1">17 (55%)</td>
                <td rowspan="1" colspan="1">0.760</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Stone volume, mm<sup>3</sup>, (mean±SD) *</td>
                <td rowspan="1" colspan="1">365±90</td>
                <td rowspan="1" colspan="1">403±124</td>
                <td rowspan="1" colspan="1">380±142</td>
                <td rowspan="1" colspan="1">0.420</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p><abbrev xlink:title="body mass index" id="ABBRID0EHWAE">BMI</abbrev>: body mass index; <abbrev xlink:title="hypertension" id="ABBRID0ELWAE">HT</abbrev>: hypertension; <abbrev xlink:title="diabetes mellitus" id="ABBRID0EPWAE">DM</abbrev>: diabetes mellitus; <abbrev xlink:title="extracorporeal shock wave lithotripsy" id="ABBRID0ETWAE">ESWL</abbrev>: extracorporeal wave lithotripsy; <abbrev xlink:title="percutaneous nephrolithotomy" id="ABBRID0EXWAE">PCNL</abbrev>: percutaneous nephrolithotomy; SD: standard deviation</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>According to the results of 24-hour urine analysis, the urinary pH, uric acid, calcium, oxalate and phosphate values were statistically different between the groups. Urinary pH according to Bonferroni test: group 2 and 3 were statistically significantly more acidic than group 1. In groups 2 and 3, 16% and 20% of the patients, respectively, had a urine pH of 5.5 and below compared to 6% in group 1. Group 3 was the group with the highest uric acid values. Eighteen percent of the patients in this group were above the laboratory upper limit. While groups 2 and 3 were statistically similar in terms of uric acid values, uric acid values in group 1 were statistically significantly lower than the other two groups.</p>
        <p>In terms of urinary calcium values, group 2 average was the highest, groups 2 and 3 were statistically similar. However, group 1 had statistically significant lower urinary calcium values than the other two groups. Moreover, while the rate of hypercalciuric patients was 21% in group 2, it was 8% in group 3, and 14% in group 1.</p>
        <p>Group 3 was the group with the highest urinary oxalate values. While groups 2 and 3 were similar in terms of oxalate values, group 1 was the group with the lowest statistically significant urinary oxalate values. While hyperoxaluria was observed in 23% of the patients in group 3, this rate was 14% in group 2 and 7% in group 1.</p>
        <p>In terms of urinary phosphate values, group 3 was the group with the highest mean value. Groups 2 and 3 showed statistical similarity in terms of phosphate values. However, phosphate values in group 1 were statistically significantly lower than in the other two groups. Hyperphosphaturia was detected in 12%, 9%, and 6% of patients in groups 3, 2, and 1, respectively <bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>.</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Result of 24-hour urine analyses</p>
          </caption>
          <table id="TID0E1XAE" rules="all">
            <tbody>
              <tr>
                <td rowspan="3" colspan="1"/>
                <td rowspan="1" colspan="4">
                  <bold>ANOVA</bold>
                </td>
                <td rowspan="1" colspan="3">
                  <bold>Post hoc test</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="2" colspan="1">
                  <bold>Group 1 (<abbrev xlink:title="body mass index" id="ABBRID0EAYAE">BMI</abbrev> &lt;25)</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold>Group 2 (<abbrev xlink:title="body mass index" id="ABBRID0ENYAE">BMI</abbrev> 25-30)</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold>Group 3 (<abbrev xlink:title="body mass index" id="ABBRID0E1YAE">BMI</abbrev> ≥30)</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold><italic>P</italic> value</bold>
                </td>
                <td rowspan="1" colspan="3">
                  <bold><italic>P</italic> value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Group 1-2</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Group 1-3</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Group 2-3</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">pH</td>
                <td rowspan="1" colspan="1">6.15±0.35</td>
                <td rowspan="1" colspan="1">5.89±0.26</td>
                <td rowspan="1" colspan="1">5.71±0.62</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.496</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Uric acid, mg/day</td>
                <td rowspan="1" colspan="1">537±278</td>
                <td rowspan="1" colspan="1">678±450</td>
                <td rowspan="1" colspan="1">730±230</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.440</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Calcium, mg/day</td>
                <td rowspan="1" colspan="1">240±102</td>
                <td rowspan="1" colspan="1">312±102</td>
                <td rowspan="1" colspan="1">282±94</td>
                <td rowspan="1" colspan="1">0.040</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.287</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Oxalate, mg/day</td>
                <td rowspan="1" colspan="1">25±10</td>
                <td rowspan="1" colspan="1">39±23</td>
                <td rowspan="1" colspan="1">44±20</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.354</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Citrate, mg/day</td>
                <td rowspan="1" colspan="1">252±169</td>
                <td rowspan="1" colspan="1">325±224</td>
                <td rowspan="1" colspan="1">286±280</td>
                <td rowspan="1" colspan="1">0.232</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Cystine, mg/day</td>
                <td rowspan="1" colspan="1">22±16</td>
                <td rowspan="1" colspan="1">25±22</td>
                <td rowspan="1" colspan="1">24±14</td>
                <td rowspan="1" colspan="1">0.338</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Phosphate, mg/day</td>
                <td rowspan="1" colspan="1">763±257</td>
                <td rowspan="1" colspan="1">880±170</td>
                <td rowspan="1" colspan="1">915±124</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">0.732</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Magnesium, mg/day</td>
                <td rowspan="1" colspan="1">68±43</td>
                <td rowspan="1" colspan="1">60±45</td>
                <td rowspan="1" colspan="1">67±34</td>
                <td rowspan="1" colspan="1">0.670</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Creatinine, mg/dL</td>
                <td rowspan="1" colspan="1">1763±426</td>
                <td rowspan="1" colspan="1">1640±314</td>
                <td rowspan="1" colspan="1">1732±410</td>
                <td rowspan="1" colspan="1">0.321</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Urine volume, mL</td>
                <td rowspan="1" colspan="1">1790±599</td>
                <td rowspan="1" colspan="1">1750±455</td>
                <td rowspan="1" colspan="1">1830±650</td>
                <td rowspan="1" colspan="1">0.935</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"><abbrev xlink:title="parathormone" id="ABBRID0ENCAG">PTH</abbrev>, pg/mL</td>
                <td rowspan="1" colspan="1">46±18</td>
                <td rowspan="1" colspan="1">54±46</td>
                <td rowspan="1" colspan="1">49±41</td>
                <td rowspan="1" colspan="1">0.397</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p><abbrev xlink:title="parathormone" id="ABBRID0EKDAG">PTH</abbrev>: parathormone; All data are given as mean ± standard deviation</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>The 24-hour creatinine values for each male and female patient in the study group were used to determine whether urine was collected accurately or not. The 24-hour urine creatinine values were 1763±426 mg/day in group 1, 1640±314 mg/day in group 2, and 1732±410 mg/day in group 3 and there was no statistical difference between the groups (<italic>p</italic>=0.321). The mean total amount of urine for 24 hours in groups 1, 2, and 3 was 1790±599 mL, 1750±455 mL, and 1830±650 mL, respectively, (<italic>p</italic>=0.935) bringing the mean daily urine volume of the three groups of stone patients with different <abbrev xlink:title="body mass index" id="ABBRID0EBEAC">BMI</abbrev> values below 2 liters. We found that in groups 1, 2, and 3, the daily urine volumes of 17, 14, and 9 patients, respectively, were around 1000 cc <bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>.</p>
        <p>Only the <abbrev xlink:title="body mass index" id="ABBRID0EOEAC">BMI</abbrev> factor was statistically different between patients with and without recurrent stones. <abbrev xlink:title="body mass index" id="ABBRID0ESEAC">BMI</abbrev> was higher in patients with recurrent stones. Multivariate logistic regression analysis showed that patients with a <abbrev xlink:title="body mass index" id="ABBRID0EWEAC">BMI</abbrev> ≥25 had a 2-fold risk of recurrent stone formation <bold>(Table <xref ref-type="table" rid="T3">3</xref>)</bold>.</p>
        <p>The correlation between lithogenic factors in 24-hour urine, stone volume, and surgical treatment requirements was found using correlation analysis (Pearson’s and Spearman’s correlation tests). There was no significant correlation between surgical treatment requirements and lithogenic factors. There was a weak but statistically significant correlation between uric acid and stone volume (<italic>r</italic>=0.307, <italic>p</italic>=0.04) (<bold>Fig. <xref ref-type="fig" rid="F1">1</xref></bold>, <bold>Table <xref ref-type="table" rid="T4">4</xref></bold>).</p>
        <table-wrap id="T3" position="float" orientation="portrait">
          <label>Table 3.</label>
          <caption>
            <p>Lithogenic factors in patients with and without recurrent stones and multivariate logistic regression analysis of effective lithogenic factors in patients with recurrent stones</p>
          </caption>
          <table id="TID0EJHAG" rules="all">
            <tbody>
              <tr>
                <td rowspan="2" colspan="1"/>
                <td rowspan="2" colspan="1">
                  <bold>With recurrent stones</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold>Without recurrent stones</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold>
                    <italic>P</italic>
                  </bold>
                </td>
                <td rowspan="1" colspan="3">
                  <bold>Multivariate analysis</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Odds ratio</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>95% CI</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>
                    <italic>p</italic>
                  </bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">50</td>
                <td rowspan="1" colspan="1">143</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">pH</td>
                <td rowspan="1" colspan="1">5.95±0.34</td>
                <td rowspan="1" colspan="1">5.93±0.35</td>
                <td rowspan="1" colspan="1">0.644</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Uric acid, mg/day</td>
                <td rowspan="1" colspan="1">557±197</td>
                <td rowspan="1" colspan="1">559±461</td>
                <td rowspan="1" colspan="1">0.977</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Calcium, mg/day</td>
                <td rowspan="1" colspan="1">261±73</td>
                <td rowspan="1" colspan="1">246±68</td>
                <td rowspan="1" colspan="1">0.180</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Oxalate, mg/day</td>
                <td rowspan="1" colspan="1">29±10</td>
                <td rowspan="1" colspan="1">30±10</td>
                <td rowspan="1" colspan="1">0.556</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Citrate, mg/day</td>
                <td rowspan="1" colspan="1">294±105</td>
                <td rowspan="1" colspan="1">280±81</td>
                <td rowspan="1" colspan="1">0.339</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Cystine, mg/day</td>
                <td rowspan="1" colspan="1">24±9</td>
                <td rowspan="1" colspan="1">24±8</td>
                <td rowspan="1" colspan="1">0.900</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Magnesium, mg/day</td>
                <td rowspan="1" colspan="1">62±21</td>
                <td rowspan="1" colspan="1">60±19</td>
                <td rowspan="1" colspan="1">0.340</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Phosphate, mg/day</td>
                <td rowspan="1" colspan="1">840±97</td>
                <td rowspan="1" colspan="1">790±145</td>
                <td rowspan="1" colspan="1">0.176</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"><abbrev xlink:title="body mass index" id="ABBRID0E1LAG">BMI</abbrev>, kg/m<sup>2</sup></td>
                <td rowspan="1" colspan="1">27±5</td>
                <td rowspan="1" colspan="1">24±5</td>
                <td rowspan="1" colspan="1">0.019</td>
                <td rowspan="1" colspan="1">2.004</td>
                <td rowspan="1" colspan="1">1.143-3.512</td>
                <td rowspan="1" colspan="1">0.015</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>CI: confidence interval</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap id="T4" position="float" orientation="portrait">
          <label>Table 4.</label>
          <caption>
            <p>Correlation between 24-hour urinary lithogenic factors with stone volume and surgical treatment requirements</p>
          </caption>
          <table id="TID0EYTAG" rules="all">
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>24-hour urinary parameters</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Stone volume (p value)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Surgical treatment requirements</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">pH</td>
                <td rowspan="1" colspan="1">0.07 (0.949)</td>
                <td rowspan="1" colspan="1">−0.18 (0.430)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Oxalate</td>
                <td rowspan="1" colspan="1">−0.35 (0.752)</td>
                <td rowspan="1" colspan="1">−0.34 (0.140)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Uric acid</td>
                <td rowspan="1" colspan="1">0.307 (0.04)</td>
                <td rowspan="1" colspan="1">−0.212 (0.090)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Calcium</td>
                <td rowspan="1" colspan="1">0.000 (0.999)</td>
                <td rowspan="1" colspan="1">−0.090 (0.176)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Citrate</td>
                <td rowspan="1" colspan="1">0.055 (0.615)</td>
                <td rowspan="1" colspan="1">−0.210 (0.250)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Cystine</td>
                <td rowspan="1" colspan="1">−0.148 (0.176)</td>
                <td rowspan="1" colspan="1">−0.470 (0.165)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Phosphate</td>
                <td rowspan="1" colspan="1">−0.097 (0.376)</td>
                <td rowspan="1" colspan="1">−0.085 (0.540)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Magnesium</td>
                <td rowspan="1" colspan="1">−0.112 (0.309)</td>
                <td rowspan="1" colspan="1">−0.135 (0.320)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="F1" position="float" orientation="portrait">
          <object-id content-type="arpha">B3032AEA-1E56-555B-AB6B-36387C7C50CE</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Pearson’s correlation graph of uric acid and stone volume.</p>
          </caption>
          <graphic xlink:href="foliamedica-66-1-e114369-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_994820.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/994820</uri>
          </graphic>
        </fig>
      </sec>
    </sec>
    <sec sec-type="Discussion" id="SECID0ETFAC">
      <title>Discussion</title>
      <p>Aune et al.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> found that stone formation increased 1.4 times in overweight patients, while it increased by 2-3 times in obese and severely obese patients. A study by Akarken et al.<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup> found that metabolic syndrome components like obesity, hyperlipidemia, and hypertension, along with the ratio of visceral fat tissue to subcutaneous fat tissue, were important factors for kidney stone formation. Deng et al.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> found that the risks for hypertension and <abbrev xlink:title="diabetes mellitus" id="ABBRID0EOGAC">DM</abbrev> were higher in overweight and obese patients compared to people with a standard weight, and this situation increased the tendency to ward off urinary system stone disease. Taylor et al.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup> reported a connection between <abbrev xlink:title="body mass index" id="ABBRID0EZGAC">BMI</abbrev> and waist circumference measurements with increased kidney stone formation. Sorensen et al.<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup> found that the risk of stone formation increased as <abbrev xlink:title="body mass index" id="ABBRID0EEHAC">BMI</abbrev> increased. Lama et al.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> reported that in kidneys containing calcium oxalate stones, perirenal fat volume was higher than in patients without stones and the increase in abdominal visceral fat tissue was associated with uric acid and calcium oxalate stone formation, while the ratio of visceral fat tissue to subcutaneous fat tissue was positively correlated with renal stone formation. In fact, obesity in the pediatric age group was reported to increase stone formation risk without observing any change in lithogenic amounts in urine.</p>
      <p>In this study, we found that increasing <abbrev xlink:title="body mass index" id="ABBRID0ERHAC">BMI</abbrev> showed a positive correlation with the increase of lithogenic factors such as urinary pH, uric acid, calcium, oxalate and phosphate, but inhibitory factors such as citrate and magnesium did not change. In fact, in multivariate analysis, <abbrev xlink:title="body mass index" id="ABBRID0EVHAC">BMI</abbrev> was the only factor predicting recurrent stone formation. Siener et al.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> reported that weight and obesity increased lithogenic factors without changing stone inhibitors in urine for formation of calcium oxalate stones and that people who were overweight had a higher risk of calcium oxalate saturation compared to patients with normal weight.</p>
      <p>Abdominal obesity is reported to make urinary pH more acidic as a result of increasing the net acid load in urine by reducing reabsorption of H+ ions and ammonium secretion from proximal renal tubules causing insulin resistance.‌<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup> Zanette et al.<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup> reported that patients with hypercalciuria and hyperuricosuria had high endogenous organic acid levels, which caused urine pH to fall. Additionally, high protein intake in overweight stone patients is known to increase urine acidity. Because of the decrease in urine pH, tubular uric acid crystal saturation is easier, increasing uric acid stone formation, a long-known fact. Additionally, as <abbrev xlink:title="body mass index" id="ABBRID0EQIAC">BMI</abbrev> increases, urinary uric acid amounts elevate in both sexes.<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup> A national database study assessing 5942 patients with a variety of urinary stones reported that excessively overweight men and women had higher serum and urinary uric acid levels compared to overweight men and women.‌<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup> For this reason, the elevated urinary uric acid level in patients with high <abbrev xlink:title="body mass index" id="ABBRID0ECJAC">BMI</abbrev> in our study is considered to be due to both consumption/nutrition and body mass weight. In this study, we also found a weak positive correlation between uric acid and stone volume. In other words, as the amount of uric acid in the urine increased, the stone size also increased. There are studies in the literature reporting that factors such as age, UTI, recurrence, serum calcium, serum phosphate, and urine albumin correlate directly with stone size.<sup>[<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>]</sup> However, we could not find an article that studies the connection between urinary lithogenic factors and stone volume. Since the causes of stone formation are multifactorial, we think that this positive correlation should be considered in studies with larger series in order to make a decision and make recommendations.</p>
      <p>We observed in our study that the increase in <abbrev xlink:title="body mass index" id="ABBRID0ETJAC">BMI</abbrev> showed a positive correlation with the increase in the number of patients with <abbrev xlink:title="diabetes mellitus" id="ABBRID0EXJAC">DM</abbrev>. It has also been found that as <abbrev xlink:title="body mass index" id="ABBRID0E2JAC">BMI</abbrev> increases, urine becomes more acidic and uric acid levels become higher. Spiwakov et al.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup> stated that acidic urine is the most frequently observed abnormality in patients with <abbrev xlink:title="diabetes mellitus" id="ABBRID0EGKAC">DM</abbrev> and is responsible for the formation of uric acid stones. Assimos discovered that insulin resistance in type 2 diabetes causes a deficit in the kidneys’ ammonium production, lowering urinary pH.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> creating as a result suitable environment for uric acid stones. Nerli et al.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup> highlighted that there is a strong correlation between type 2 diabetes and uric acid stone formation and that there is a strong association between <abbrev xlink:title="diabetes mellitus" id="ABBRID0EYKAC">DM</abbrev>, <abbrev xlink:title="body mass index" id="ABBRID0E3KAC">BMI</abbrev>, and low urinary pH.</p>
      <p>Urinary calcium excretion was reported to be higher in overweight and obese males compared to normal weight males.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> High urinary uric acid levels may simultaneously lower the solubility of calcium oxalate in urine and cause calcium oxalate stone formation. Additionally, glycosaminoglycans, inhibitors of calcium oxalate crystallization in urine, were reported to be associated with calcium oxalate stone formation in obese people with reduced inhibitory activity. The 6th National Stone Congress in Japan emphasized that kidney stones increased with the reported increase in urinary calcium and uric acid excretion associated with metabolic syndrome. Kohjimoto et al. identified a positive correlation between <abbrev xlink:title="body mass index" id="ABBRID0EJLAC">BMI</abbrev> and urinary calcium excretion.<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup> Insulin reduces calcium absorption in renal tubules in overweight patients and was found to increase urinary excretion of calcium. Additionally, with Dukan-like diets dominated by animal protein, urinary calcium increases, citrate reduces and lithogenic risk is reported to increase.‌<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> In men, urinary calcium and <abbrev xlink:title="body mass index" id="ABBRID0E2LAC">BMI</abbrev> were associated; as <abbrev xlink:title="body mass index" id="ABBRID0E6LAC">BMI</abbrev> increased, urinary calcium increased, while urinary calcium levels returned to normal when dietary sodium and phosphorus were fixed.</p>
      <p>Danilovic et al.<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup> reported a positive relationship between weight and urinary oxalate excretion. When compared with healthy people, those patients who had oxalate stones were shown to have higher oxalate absorption rates.‌<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup> Seiner et al.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> predicted that excessive intake of foods rich in chocolate and oxalate, especially in overweight and obese women, may cause high oxalate excretion in urine. In studies conducted in overweight rats, it was found that intestinal and renal tubular oxalate excretion decreased due to the inhibition of the transport pathway by proinflammatory cytokines increasing in the intestinal wall.<sup>[<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>]</sup> It has been suggested that the decrease in <italic>Oxalobacter formigenes</italic> colonization in obese patients reduces the oxalate excretion mechanism.<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup> A study of idiopathic renal calcium stone patients found a clear degree of association between urine oxalate excretion with <abbrev xlink:title="body mass index" id="ABBRID0EONAC">BMI</abbrev>.<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> In another study reporting a positive correlation between oxalate excretion with <abbrev xlink:title="body mass index" id="ABBRID0EZNAC">BMI</abbrev> only in women, obese women with <abbrev xlink:title="body mass index" id="ABBRID0E4NAC">BMI</abbrev> &gt;30 kg/m2 had 39% oxalate excretion compared to women with normal weight. Lemann et al.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup> identified a positive correlation between oxalate excretion in urine and fat-free body mass. Ekeuro et al.<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup> reported higher urine oxalate values in obese stone patients compared to non-obese patients.</p>
      <p>Taylor et al.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup> and Curhan et al.<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup> identified positive correlations between <abbrev xlink:title="body mass index" id="ABBRID0E6OAC">BMI</abbrev>, uric acid and phosphate excretion with multivariate regression analysis. Deng et al.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> reported that urine phosphate values were higher in overweight cases compared to normal weight people in multiple regression analysis of 24-hour urine results in individuals without stone disease (<italic>p</italic>=0.047). Khand et al.<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup> reported a positive correlation between hypocitraturia and phosphaturia in first-time stone patients and considered that high urinary phosphate amount was the main risk factor for calcium urolithiasis. Gyawali et al.<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup> found that people with stone formation had higher urine phosphate level to a clear degree compared to people without stones and this situation was a risk for stone formation in urine. Siener et al.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> reported that urinary phosphate excretion was higher in overweight and obese patients with calcium stones.</p>
      <p>It has been reported that primary parathyroid hyperplasia causes stone formation in approximately 5% of kidney stone patients. Normally, when blood levels of calcium reach the optimum level, <abbrev xlink:title="parathormone" id="ABBRID0EEAAE">PTH</abbrev> secretion from the parathyroid stops. However, in case of primary hyperplasia, the parathyroid does not listen to the stop command and <abbrev xlink:title="parathormone" id="ABBRID0EIAAE">PTH</abbrev> continues to be released. As serum <abbrev xlink:title="parathormone" id="ABBRID0EMAAE">PTH</abbrev> levels increase, hypercalcemia and hypercalciuria occur. It causes calcium oxalate supersaturation, which causes stone formation in the urine.<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup> However, we did not detect any difference in <abbrev xlink:title="parathormone" id="ABBRID0EXAAE">PTH</abbrev> levels in this study.</p>
      <p>The main limitation of our study is that it is retrospective. We could not include serum electrolytes and stone composition data in our study. We also could not investigate diet and nutritional habits in our study. Apart from <abbrev xlink:title="body mass index" id="ABBRID0E4AAE">BMI</abbrev>, we could not investigate the effects of other obesity parameters like visceral obesity, waist circumference measurement, subcutaneous fat rates, and visceral fat/subcutaneous fat ratio on lithogenic factors and stone formation. In the future, it is recommended that prospective multicenter studies encompassing these parameters be performed.</p>
    </sec>
    <sec sec-type="Conclusion" id="SECID0EBBAE">
      <title>Conclusion</title>
      <p>As the <abbrev xlink:title="body mass index" id="ABBRID0EHBAE">BMI</abbrev> index increases, the amount of urinary lithogenic factors increases. On the other hand, there is no change in the amount of inhibitory urinary lithogenic factors. As <abbrev xlink:title="body mass index" id="ABBRID0ELBAE">BMI</abbrev> increases, the risk of recurrent stone formation increases.</p>
    </sec>
    <sec sec-type="Acknowledgements" id="SECID0EPBAE">
      <title>Acknowledgements</title>
      <p>The authors have no support to report.</p>
    </sec>
    <sec sec-type="Funding" id="SECID0EUBAE">
      <title>Funding</title>
      <p>The authors have no funding to report.</p>
    </sec>
    <sec sec-type="Competing Interests" id="SECID0EZBAE">
      <title>Competing Interests</title>
      <p>The authors have declared that no competing interests exist.</p>
    </sec>
    <sec sec-type="References" id="SECID0E5BAE">
      <title>References</title>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="B1">
        <mixed-citation xlink:type="simple">1. Pigna F, Sakhaee K, Adams-Huet B, et al. Body fat content and distribution and urinary risk factors for nephrolithiasis. Clin J Am Soc Nephrol 2014; 9(1):159–65.</mixed-citation>
      </ref>
      <ref id="B2">
        <mixed-citation xlink:type="simple">2. Kozan Ö, Oğuz A, Erol Ç, et al. Türkiye metabolik sendrom sıklığı araştırması (METSAR): Amaç ve protokol. [Turkish metabolic syndrome frequency survey (METSAR): Purpose and protocol]. MN Kardiyoloji 2003; 10(4):251–8 [Turkish].</mixed-citation>
      </ref>
      <ref id="B3">
        <mixed-citation xlink:type="simple">3. Aydin M, Soysal DE. Kolelitiazisli Hastalarda Metabolik Sendrom Sıklığı. [Prevelance of metabolic syndrome in patients with cholelithiasis]. Van Tip Dergisi 2018; 25(2):146–9 [Turkish].</mixed-citation>
      </ref>
      <ref id="B4">
        <mixed-citation xlink:type="simple">4. Siener R, Glatz S, Nicolay C, et al. The role of overweight and obesity in calcium oxalate stone formation. Obesity Research 2004; 12(1):106–13.</mixed-citation>
      </ref>
      <ref id="B5">
        <mixed-citation xlink:type="simple">5. Najeeb Q, Masood I, Bhaskar N, et al. Effect of BMI and urinary pH on urolithiasis and its composition. Saudi J Kidney Dis Transpl 2013; 24(1):60–6.</mixed-citation>
      </ref>
      <ref id="B6">
        <mixed-citation xlink:type="simple">6. Aune D, Mahamat-Saleh Y, Norat T, et al. Body fatness, diabetes, physical activity and risk of kidney stones: a systematic review and meta-analysis of cohort studies. Eur J Epidemiol 2018; 33(11):1033–47.</mixed-citation>
      </ref>
      <ref id="B7">
        <mixed-citation xlink:type="simple">7. Akarken I, Tarhan H, Ekin RG, et al. Visceral obesity: a new risk factor for stone disease. Can Urol Assoc J 2015; 9(11-12):795–9.</mixed-citation>
      </ref>
      <ref id="B8">
        <mixed-citation xlink:type="simple">8. Deng T, Mai Z, Cai C, et al. Influence of weight status on 24-hour urine composition in adults without urolithiasis: A nationwide study based on a Chinese Han population. PlosOne 2017; 12(9).</mixed-citation>
      </ref>
      <ref id="B9">
        <mixed-citation xlink:type="simple">9. Taylor EN, Stampfer MJ, Curhan GC. Obesity, weight gain, and the risk of kidney stones. JAMA 2005; 293:455.</mixed-citation>
      </ref>
      <ref id="B10">
        <mixed-citation xlink:type="simple">10. Sorensen MD, Chi T, Shara NM, et al. Activity, energy intake, obesity, and the risk of incident kidney stones in post-menopausal women: a report from the women’s health initiative. J Am Soc Nephrol 2014; 25(2):362–9.</mixed-citation>
      </ref>
      <ref id="B11">
        <mixed-citation xlink:type="simple">11. Lama DJ, Safiullah S, Yang A, et al. Three dimensional evaluation of perirenal fat volume in patients with nephrolithiasis. Urolithiasis 2018; 46(6):535–41.</mixed-citation>
      </ref>
      <ref id="B12">
        <mixed-citation xlink:type="simple">12. Kohjimoto Y, Iba A, Sasaki Y, et al. Metabolic syndrome and nephrolithiasis. Hinyokika Kiyo 2011; 57(1):43–7.</mixed-citation>
      </ref>
      <ref id="B13">
        <mixed-citation xlink:type="simple">13. Zanette C, Tessaro W, Ramos CI, et al. Influence of nutritional status, laboratory parameters and dietary patterns upon urinary acid excretion in calcium stone formers. J Bras Nefrol 2018; 40(1):35–43.</mixed-citation>
      </ref>
      <ref id="B14">
        <mixed-citation xlink:type="simple">14. Daudon M, Lacour B, Jungers P. Influence of body size on urinary stone composition in men and women. Urol Res 2006; 34:193–9.</mixed-citation>
      </ref>
      <ref id="B15">
        <mixed-citation xlink:type="simple">15. Rajeev TP, Singha Y, Baruaa SK, et al. Correlative analysis between severity of urolithiasis and laboratory parameters and its implication in evaluation of the probable risk profile. World J Nephrol Urol 2018; 7(1):25–31.</mixed-citation>
      </ref>
      <ref id="B16">
        <mixed-citation xlink:type="simple">16. Wang L, Feng C, Ding G, et al. Correlative analysis between clinical patterns of urolithiasis and laboratory parameters and evaluation of risk factors in calculous kidney damage. Int J Clin Exp Med 2016; 9(9):18419–26.</mixed-citation>
      </ref>
      <ref id="B17">
        <mixed-citation xlink:type="simple">17. Spiwakov FR, Del Valle EE, Ray P, et al. Kidney stones in patients with type 2 diabetes mellitus. Metabolic risk factors. Medical research archives 2023; 11(10).</mixed-citation>
      </ref>
      <ref id="B18">
        <mixed-citation xlink:type="simple">18. Assimos DG. Diabetes mellitus and kidney stone formation. Rev Urol 2006; 8(1):44.</mixed-citation>
      </ref>
      <ref id="B19">
        <mixed-citation xlink:type="simple">19. Nerli R, Jali M, Guntaka AK, et al. Type 2 diabetes mellitus and renal stones. Adv Biomed Res 2015; 31(4):180.</mixed-citation>
      </ref>
      <ref id="B20">
        <mixed-citation xlink:type="simple">20. Atan A, Şenel Ç, Tuncel A, et al. Ürolojik Bakış Açısından Metabolik Sendromun Önemi. [The importance of metabolic syndrome from a urological perspective]. Ortadoğu Tıp Dergisi 2014; 6(1):38–42 [Turkish].</mixed-citation>
      </ref>
      <ref id="B21">
        <mixed-citation xlink:type="simple">21. Danilovic A, Marchini GS, Pucci ND, et al. Effect of a low-calorie diet on 24-hour urinary parameters of obese adults with idiopathic calcium oxalate kidney stones. International Braz J Urol 2021; 47:1136–47.</mixed-citation>
      </ref>
      <ref id="B22">
        <mixed-citation xlink:type="simple">22. Sakhaeei K. Unraveling the mechanism of obesity induced hyperoxaluria. Kidney Int 2018; 93(5):1038–40.</mixed-citation>
      </ref>
      <ref id="B23">
        <mixed-citation xlink:type="simple">23. Eiji O. Overweight and high-sensitivity C-reactive protein are weakly associated with kidney stone formation in Japanese men. Int J Urol 2014; 21(10):1005–11.</mixed-citation>
      </ref>
      <ref id="B24">
        <mixed-citation xlink:type="simple">24. Trinchieri A, Ostini F, Nespoli R, et al. Hyperoxaluria in patients with idiopathic nephrolithiasis. J Nephrol 1998; 11(1):70–2.</mixed-citation>
      </ref>
      <ref id="B25">
        <mixed-citation xlink:type="simple">25. Lemann J, Pleuss JA, Worcester EM, et al. Urinary oxalate excretion increases with body size and decreases with increasing dietary calcium intake among healthy adults. Kidney Int 1996; (49):200.</mixed-citation>
      </ref>
      <ref id="B26">
        <mixed-citation xlink:type="simple">26. Ekeruo WO, Tan YH, Young MD, et al. Metabolic risk factors and the impact of medical therapy on the management of nephrolithiasis in obese patients. J Urol 2004; 172:159.</mixed-citation>
      </ref>
      <ref id="B27">
        <mixed-citation xlink:type="simple">27. Curhan GC, Willett WC, Rimm EB, et al. Body size and risk of kidney stones. J Am Soc Nephrol 1998; 9:1645–52.</mixed-citation>
      </ref>
      <ref id="B28">
        <mixed-citation xlink:type="simple">28. Khand FD, Ansari AF, Khand TU, et al. Is hypocitraturia associated with phosphaturia-a potential cause of calcium urolithiasis in first-time stone formers. J Pak Med Assoc 1994; 44(8):179–81.</mixed-citation>
      </ref>
      <ref id="B29">
        <mixed-citation xlink:type="simple">29. Gyawali PR, Joshi BR, Gurung CK. Correlation of calcium, phosphorus, uric acid and magnesium level in serum and 24 hours urine of patients with urolithiasis. Kathmandu Univ Med J 2011; 9(34):54–6.</mixed-citation>
      </ref>
      <ref id="B30">
        <mixed-citation xlink:type="simple">30. Bagale G, Pradhan SR, Basnet A. Recurrent nephrolithiasis due to parathyroid adenoma. Cureus 2021; 13(10):e18468.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
