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<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>
</journal-title-group>
<issn pub-type="epub">2207-3744</issn>
<publisher>
<publisher-name>Codon Publications</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">15</article-id>
<article-id pub-id-type="doi">10.15586/jrenhep.2017.15</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>ORIGINAL ARTICLE</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Vitamin D Levels Are Associated with Liver Disease Severity in Patients with Cirrhosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rech</surname>
<given-names>Megan A.</given-names>
</name>
<xref ref-type="aff" rid="aff0001">1</xref>
<xref ref-type="aff" rid="aff0002">2</xref>
<xref ref-type="aff" rid="aff0003">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Von Roenn</surname>
<given-names>Natasha</given-names>
</name>
<xref ref-type="aff" rid="aff0004">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Durazo-Arvizu</surname>
<given-names>Ramon</given-names>
</name>
<xref ref-type="aff" rid="aff0005">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cotler</surname>
<given-names>Scott J.</given-names>
</name>
<xref ref-type="aff" rid="aff0003">3</xref>
<xref ref-type="aff" rid="aff0004">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kramer</surname>
<given-names>Holly</given-names>
</name>
<xref ref-type="aff" rid="aff0003">3</xref>
<xref ref-type="aff" rid="aff0005">5</xref>
<xref ref-type="aff" rid="aff0006">6</xref>
</contrib>
<aff id="aff0001">
<label>1</label>Department of Emergency Medicine, Loyola University Chicago, Maywood, IL, USA</aff>
<aff id="aff0002">
<label>2</label>Department of Pharmacy, Loyola University Chicago, Maywood, IL, USA</aff>
<aff id="aff0003">
<label>3</label>Department of Medicine, Loyola University Chicago, Maywood, IL, USA</aff>
<aff id="aff0004">
<label>4</label>Division of Hepatology, Loyola University Chicago, Maywood, IL, USA</aff>
<aff id="aff0005">
<label>5</label>Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA</aff>
<aff id="aff0006">
<label>6</label>Division of Nephrology and Hypertension, Loyola University Chicago, Maywood, IL, USA</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><italic>Author for correspondence</italic>: Megan A. Rech, Emergency Medicine Clinical Pharmacist, Loyola University Medical Center, 2160 S 1<sup>st</sup> Ave, Maywood, IL 60153, USA. Email: <email xlink:href="Mrech@lumc.edu">Mrech@lumc.edu</email></corresp>
<fn>
<p><italic>How to cite</italic>: Rech MA et al. Vitamin D Levels Are Associated with Liver Disease Severity in Patients with Cirrhosis. J Ren Hepat Disord 2017;1(2):1&#x2013;9.</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>05</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="ppub">
<year>2017</year>
</pub-date>
<volume>1</volume>
<issue>2</issue>
<fpage>1</fpage>
<lpage>9</lpage>
<history>
<date date-type="received">
<day>07</day>
<month>04</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>05</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; Rech MA et al.</copyright-statement>
<copyright-year>2017</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0">
<license-p>This open access article is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).</license-p>
</license>
</permissions>
<abstract>
<p>Vitamin D deficiency is common in advanced liver disease but its clinical significance remains controversial. The aim of this study was to examine the correlation of 25-hydryoxyvitamin D levels with liver disease severity and calcium levels in adults with cirrhosis. This cross-sectional study included 180 adults with cirrhosis enrolled in a clinical cohort study at a single university hospital. The mean age was 58.8 (&#x00B1;9.2) years, and cirrhosis was attributed to alcohol use in 27.2%, hepatitis C in 35.0%, non-alcoholic steatohepatitis in 27.2%, and both alcohol and hepatitis C in 10.6%. The median model for end-stage liver disease-sodium (MELD-Na) score was 12.0 (interquartile range 9.0&#x2013;16.0), and mean serum albumin levels were 3.4 (&#x00B1;0.7) gm/dl. Median serum 25-hydroxyvitamin D levels were 28.0 (interquartile range 20&#x2013;38) ng/mL, with 16 patients (8.9%) having levels &#x003C;12 ng/ml and 43 (23.9%) with 25(OH)D levels &#x003C;20 ng/ml. No correlation was noted between levels of 25-hydroxyvitamin D and albumin-corrected calcium in the total group and in groups stratified by vitamin D supplementation. In contrast, both serum albumin (r = 0.32; P &#x003C; 0.001) and MELD-Na scores were significantly correlated with 25-hydroxyvitamin D levels (r = &#x2013;0.29; P &#x003C; 0.001). Correlations between 25-hydroxyvitamin D levels and serum albumin (r = &#x2212;0.39; P &#x003C; 0.001) and MELD-Na scores did not change substantially after excluding 67 patients receiving vitamin D supplementation (r = &#x2212;0.33; P = 0.009). In conclusion, total 25-hydroxyvitamin D levels correlate inversely with liver disease severity in adults with cirrhosis.</p>
</abstract>
<kwd-group>
<kwd>cirrhosis</kwd>
<kwd>liver disease</kwd>
<kwd>serum calcium</kwd>
<kwd>vitamin D</kwd>
<kwd>vitamin D deficiency</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Vitamin D impacts bone mineralization and calcium homeostasis by increasing intestinal calcium absorption (<xref ref-type="bibr" rid="cit0001">1</xref>, <xref ref-type="bibr" rid="cit0002">2</xref>). Without vitamin D, only 10% to 15% of dietary calcium and less than 60% of dietary phosphate is absorbed (<xref ref-type="bibr" rid="cit0003">3</xref>). The liver plays an important role in vitamin D metabolism. Vitamins D2 and D3 derived from food and supplements, and vitamin D3 obtained via sunlight exposure, undergo hydroxylation in the liver forming 25-hydroxyvitamin D [25(OH)D], which is then hydroxylated mainly in the kidneys to 1,25 dihydroxyvitamin D [1,25(OH)<sub>2</sub>D], the biologically active form of vitamin D. The liver also produces bile acids, which are necessary for optimal gastrointestinal absorption of vitamin D obtained from foods or supplements (<xref ref-type="bibr" rid="cit0004">4</xref>). Vitamin D metabolites undergo enterohepatic circulation, and in the setting of liver dysfunction, impaired excretion of vitamin D metabolites may inhibit production or activation of 25(OH)D (<xref ref-type="bibr" rid="cit0005">5</xref>).</p>
<p>Several previous studies showed a high prevalence of low 25(OH)D levels among adults with cirrhosis (<xref ref-type="bibr" rid="cit0006">6</xref>&#x2013;<xref ref-type="bibr" rid="cit0009">9</xref>), and low 25(OH)D levels have been hypothesized to play a role in the progression of several liver diseases (<xref ref-type="bibr" rid="cit0010">10</xref>&#x2013;<xref ref-type="bibr" rid="cit0014">14</xref>). However, it is possible that low 25(OH)D levels simply reflect liver disease severity because hepatocytes produce vitamin D binding globulin (VDBG), the major vehicle for vitamin D transport. Over 90% of 25(OH)D circulates bound to VDBG and albumin, while the rest circulates unbound or free (<xref ref-type="bibr" rid="cit0015">15</xref>). Total 25(OH)D levels measured in clinical practice mainly reflect 25(OH)D bound to VDBG and albumin (<xref ref-type="bibr" rid="cit0016">16</xref>). Thus, 25(OH)D levels as currently measured in clinical practice may be low in patients with hepatic synthetic dysfunction due to low serum levels of VDBG and albumin (<xref ref-type="bibr" rid="cit0009">9</xref>, <xref ref-type="bibr" rid="cit0017">17</xref>).</p>
<p>In the current study, we evaluated data from a cohort of adults with cirrhosis receiving care at a single academic institution. The aim of the study was to evaluate the association of 25(OH)D levels with liver disease severity measures and albumin-corrected serum calcium levels in patients with cirrhosis. Liver disease severity was assessed with serum albumin levels (<xref ref-type="bibr" rid="cit0018">18</xref>) and the modeling end-stage liver disease-sodium score (MELD-Na) (<xref ref-type="bibr" rid="cit0019">19</xref>). The original MELD score predicted prognosis in patients with cirrhosis based on kidney function and dialysis requirements, serum bilirubin, and the international normalized ratio (INR). In recognition of the independent association between serum sodium and transplant waitlist mortality for patients with cirrhosis (<xref ref-type="bibr" rid="cit0019">19</xref>&#x2013;<xref ref-type="bibr" rid="cit0023">23</xref>), the Organ Procurement and Transplantation Network began incorporating the MELD-Na score for prioritizing transplants based on liver disease severity in 2016 (<xref ref-type="bibr" rid="cit0024">24</xref>). This study also examined the proportion of 25(OH)D variance attributed to the MELD-Na score, serum albumin levels, and demographic variables and the use of vitamin D supplements. We hypothesized that 25(OH)D levels are inversely correlated with measures of liver disease severity but not albumin-corrected calcium levels in patients with advanced liver disease. We further hypothesized that liver disease severity accounts for a substantial proportion of the variance in 25(OH)D levels in adults with cirrhosis.</p>
</sec>
<sec id="sec2" sec-type="methods">
<title>Methods</title>
<sec id="sec2.1">
<title>Study population</title>
<p>This cross-sectional study included patients with cirrhosis receiving hepatology care at Loyola University Medical Center, a large, urban academic medical institution. Patients with cirrhosis were enrolled in a cohort study designed to examine the determinants of liver disease progression during a routine clinic visit from August 29, 2013 to January 28, 2015 and clinical, biochemical, and radiological tests were performed. The study was approved by the Loyola University Chicago Institutional Review Board, and all patients provided written informed consent. Diagnosis of cirrhosis was based on clinical and radiological examination or liver histology. Overall, a total of 456 adults with cirrhosis enrolled in the main cohort study. We excluded 68 participants with cirrhosis from hepatitis B infection, hemochromatosis, Wilson&#x2019;s disease, or autoimmune hepatitis, due to the low number of participants with each of these disorders. Among the 388 patient participants with alcohol (ETOH)-related, hepatitis C virus (HCV), or non-alcohol steatohepatitis (NASH)-related cirrhosis, we excluded 184 with missing data on 25(OH)D levels and 24 with missing serum calcium and albumin levels measured at the time when vitamin D was measured. This left a total of 180 patient participants included in the analyses.</p>
</sec>
<sec id="sec2.2">
<title>Disease etiology, demographics</title>
<p>Information on demographics was obtained using standardized questionnaires, while the primary etiology of liver disease and presence of co-morbidities were obtained from the electronic medical record. Diabetes was defined as a physician diagnosis of diabetes and/or use of glucose-lowering medications. At the clinic visit, weight was measured without shoes to the nearest 0.1 kg using a standard balance, and height was measured using a stadiometer without shoes. Body mass index (BMI) was defined as weight in kilograms divided by the height in meters squared. Information on medication use and vitamin D supplementation, including ergocalciferol or cholecalciferol, and calcium supplementation was obtained from the medication list in the electronic medical record at the time of enrollment.</p>
</sec>
<sec id="sec2.3">
<title>Laboratory parameters</title>
<p>Non-fasting blood specimens were collected during a clinic visit and were sent immediately to the Loyola laboratory for measurement of routine clinical measurements. Serum 25(OH)D was measured using the chemiluminescent immunoassay. Serum albumin, creatinine, and total bilirubin were measured using a colorimetric method, and calcium was measured using indirect ion selective electrodes. Blood reference range values were as follows: serum calcium (8.5&#x2013;10.5 mg/dl), serum 25(OH)D (20&#x2013;80 ng/ml), and serum albumin (3.6&#x2013;5.0 g/dl). The following equation was used to calculate corrected calcium levels: corrected Ca (mg/dl) = measured total calcium in mg/dl + [0.8 &#x00D7; (4 &#x2013; albumin in g/dl)]. Serum sodium was measured using an ion-specific electrode. The MELD-Na score was calculated as a measure of liver disease severity using the serum creatinine, total bilirubin, INR, and serum sodium measured during the clinic visit when 25(OH)D was also measured (<xref ref-type="bibr" rid="cit0019">19</xref>).</p>
</sec>
<sec id="sec2.4">
<title>Statistical analyses</title>
<p>We used STATA/IC 13.1 (StataCorp LP, College Station, TX, USA) to perform all statistical analyses. Normality for variables was examined using the Shapiro&#x2013;Wilk test. Patients were categorized based on their 25(OH)D levels (<xref ref-type="bibr" rid="cit0025">25</xref>), and then summary statistics for key baseline characteristics were compared by vitamin D categories. Mean and median values are shown for variables with and without normal distributions, respectively, and frequencies were reported for categorical variables. Continuous variables were compared using ANOVA, and categorical variables were compared using the Fishers exact test. To compare variables without a normal distribution across groups, the variable was log transformed and then compared using ANOVA. If the overall F-test was statistically significant, then each vitamin D category was compared to the lowest category using an unpaired t-test. The level of statistical significance was set as P &#x003C; 0.01 to account for multiple comparisons (3 vitamin D categories compared to the lowest category).</p>
<p>Scatterplots of serum levels of corrected calcium, albumin, and MELD-Na scores by 25(OH)D levels were examined. Spearman rank correlation coefficients were calculated to quantify the correlation between corrected calcium and albumin levels and MELD-Na scores in the total group and after stratifying by vitamin D and calcium supplementation. Locally weighted regression smooth scatterplot (LOESS) lines were fitted to characterize the association between 25(OH)D and liver disease severity measures (MELD-Na and serum albumin levels) and serum calcium levels, and all associations were found to be linear. Linear regression models were then used to examine the adjusted association of serum albumin and MELD-Na scores with total 25(OH)D levels. The models adjusted for age, sex, race (white vs. non-white), BMI, liver disease etiology (ETOH vs. other causes), and vitamin D supplementation use (yes/no). These covariates were selected because they may influence vitamin D levels (<xref ref-type="bibr" rid="cit0002">2</xref>, <xref ref-type="bibr" rid="cit0006">6</xref>). Due to the strong correlation between MELD-Na scores and serum albumin levels (r = &#x2212;0.58; P &#x003C; 0.001), separate models were created to examine MELD-Na and serum albumin levels as explanatory variables.</p>
</sec>
</sec>
<sec id="sec3" sec-type="results">
<title>Results</title>
<p>Demographic data for the selected cohort are displayed in <xref ref-type="table" rid="t0001">Table 1</xref>. Most of the patient participants were white (76.7%), and male (53.3%) and the mean age was 58.8 &#x00B1; 9.2 years. Cirrhosis etiology was ETOH in 27.2%, HCV in 35.0%, NASH in 27.2%, and both ETOH and HCV in 10.6%. The median MELD-Na score was 12.0 (interquartile range 9.0&#x2013;16.0) and mean serum albumin level was 3.4 &#x00B1; 0.7 gm/dl. Overall, 37.2% and 22.8% were taking vitamin D and calcium supplements, respectively, and 26.0% were taking both. The dose of vitamin D and type of vitamin D varied. A total of 18 patients were taking ergocalciferol 50,000 international units (IU) weekly, and 28 patients were taking cholecalciferol with doses ranging from 400 to 2000 IU daily. Twenty-one patients were taking over the counter vitamin D3 supplements with doses ranging from 400 to 1200 IU daily. Among the patients taking calcium supplements, the median supplemental calcium intake was 1000 IU (interquartile range 615&#x2013;1200 IU).</p>
<table-wrap id="t0001">
<label>Table 1</label>
<caption>
<p>Demographics of the patient participants (N = 180)</p>
</caption>
<table frame="border" rules="all">
<tbody>
<tr>
<td align="left">Age (years)</td>
<td align="center">58.8 &#x00B1; 9.2</td>
</tr>
<tr>
<td align="left">Male (%)</td>
<td align="center">53.3</td>
</tr>
<tr>
<td align="left">Race (%)<break/>&#x2003;White<break/>&#x2003;African American<break/>&#x2003;Asian<break/>&#x2003;Pacific Islander<break/>&#x2003;Unknown</td>
<td align="center"><break/>76.7<break/>8.3<break/>1.1<break/>0.5<break/>13.3</td>
</tr>
<tr>
<td align="left">Cirrhosis etiology (%)<break/>&#x2003;Alcohol<break/>&#x2003;HCV<break/>&#x2003;NASH<break/>&#x2003;Both alcohol and HCV</td>
<td align="center"><break/>27.2<break/>35.0<break/>27.2<break/>10.6</td>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="center">31.8 &#x00B1; 7.6</td>
</tr>
<tr>
<td align="left">Calcium (mg/dl)</td>
<td align="center">9.1 &#x00B1; 0.6</td>
</tr>
<tr>
<td align="left">Corrected calcium<xref ref-type="table-fn" rid="tf1-1">a</xref> (mg/dl)</td>
<td align="center">9.5 &#x00B1; 0.5</td>
</tr>
<tr>
<td align="left">Albumin (g/dl)</td>
<td align="center">3.4 &#x00B1; 0.7</td>
</tr>
<tr>
<td align="left">International normalized ratio</td>
<td align="center">1.3 &#x00B1; 0.3</td>
</tr>
<tr>
<td align="left">Creatinine (mg/dl)</td>
<td align="center">1.1 &#x00B1; 0.8</td>
</tr>
<tr>
<td align="left">Sodium (mEq/l)</td>
<td align="center">137.7 &#x00B1; 3.5</td>
</tr>
<tr>
<td align="left">Total bilirubin<xref ref-type="table-fn" rid="tf1-2">b</xref> (mg/dl)</td>
<td align="center">1.2 (0.7&#x2013;2.1)</td>
</tr>
<tr>
<td align="left">MELD-Na score<xref ref-type="table-fn" rid="tf1-2">b</xref></td>
<td align="center">12.0 (9.0&#x2013;16.0)</td>
</tr>
<tr>
<td align="left">Vitamin D<xref ref-type="table-fn" rid="tf1-2">b</xref> (ng/ml)</td>
<td align="center">28.0 (20.0&#x2013;38.0)</td>
</tr>
<tr>
<td align="left">Vitamin D supplementation (%)</td>
<td align="center">37.2</td>
</tr>
<tr>
<td align="left">Calcium supplementation (%)</td>
<td align="center">22.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data shown as frequency (%) or mean &#x00B1; standard deviation;</p>
</fn>
<fn id="tf1-1">
<label>a</label>
<p>Corrected calcium = measured total calcium in mg/dL + [0.8 &#x00D7; (4 &#x2013; albumin in g/dl)];</p>
</fn>
<fn id="tf1-2">
<label>b</label>
<p>Data shown as median (interquartile range); BMI = body mass index, HCV = hepatitis C virus, NASH = non-alcohol steatohepatitis, MELD-Na = modeling end-stage liver disease-sodium score (<xref ref-type="bibr" rid="cit0019">19</xref>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The median serum 25(OH)D level was 28.0 ng/ml (interquartile range 20&#x2013;38 ng/ml), and 16 patients (8.9%) had 25(OH)D levels &#x003C;12 ng/ml and 43 (23.9%) had 25(OH)D levels &#x003C;20 ng/ml. <xref ref-type="table" rid="t0002">Table 2</xref> shows the characteristics of the participants by 25(OH)D groups. Overall, serum calcium and albumin levels generally increased and MELD-Na scores decreased across increasing 25(OH)D groups. In contrast, corrected serum calcium levels did not differ significantly across 25(OH)D groups. Vitamin D supplementation was similar across the 25(OH)D groups.</p>
<table-wrap id="t0002">
<label>Table 2</label>
<caption>
<p>Characteristics of patient participants by serum 25-hydroxyvitamin D [25(OH)D] groups</p>
</caption>
<table frame="border" rules="all">
<thead valign="bottom">
<tr>
<th align="left"/>
<th colspan="4" align="center">25(OH)D Groups</th>
<th align="center"/>
</tr>
<tr>
<th align="left"/>
<th align="center">&#x003C;12 ng/ml</th>
<th align="center">12&#x2013;19.9 ng/ml</th>
<th align="center">20&#x2013;29.9 ng/ml</th>
<th align="center">&#x2265;30 ng/ml</th>
<th align="center">Overall P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">N</td>
<td align="center">16</td>
<td align="center">27</td>
<td align="center">58</td>
<td align="center">79</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Age</td>
<td align="center">55.6 &#x00B1; 10.2</td>
<td align="center">56.8 &#x00B1; 9.1</td>
<td align="center">58.7 &#x00B1; 8.6</td>
<td align="center">60.2 &#x00B1; 9.3</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left">Male (%)</td>
<td align="center">53.6</td>
<td align="center">66.7</td>
<td align="center">52.7</td>
<td align="center">58.5</td>
<td align="center">0.4</td>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="center">30.4&#x00B1;6.5</td>
<td align="center">32.3&#x00B1;8.5</td>
<td align="center">32.2 &#x00B1; 6.6</td>
<td align="center">31.6 &#x00B1; 8.2</td>
<td align="center">0.9</td>
</tr>
<tr>
<td align="left">25(OH)D (ng/ml)<xref ref-type="table-fn" rid="tf2-1">a</xref></td>
<td align="center">10.0 (7.0&#x2013;11.0)</td>
<td align="center">17.0 (15.0&#x2013;19.0)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">25.0 (22.0&#x2013;27.0)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">39 (32.3&#x2013;47.0)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">MELD-Na<xref ref-type="table-fn" rid="tf2-1">a</xref></td>
<td align="center">20.0 (17.0&#x2013;28.0)</td>
<td align="center">14.0 (9.5&#x2013;16.5)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">12.0 (9.0&#x2013;15.0)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">10.5 (8.0&#x2013;15.0)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Calcium (mg/dl)</td>
<td align="center">8.5&#x00B1;0.5</td>
<td align="center">9.0&#x00B1;0.4</td>
<td align="center">9.0 &#x00B1; 0.6</td>
<td align="center">9.2 &#x00B1; 0.6</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="left">Corrected calcium<xref ref-type="table-fn" rid="tf2-2">b</xref> (mg/dl)</td>
<td align="center">9.4&#x00B1;0.1</td>
<td align="center">9.6&#x00B1;0.1<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">9.5 &#x00B1; 0.1<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">9.6 &#x00B1; 0.1<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="left">Albumin (g/dl)</td>
<td align="center">2.86&#x00B1;0.2</td>
<td align="center">3.20&#x00B1;0.1<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">3.29 &#x00B1; 0.1<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">3.60 &#x00B1; 0.1<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">International normalized ratio</td>
<td align="center">1.6&#x00B1;0.6</td>
<td align="center">1.3&#x00B1;0.3<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">1.2 &#x00B1; 0.3)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">1.2 &#x00B1; 0.2<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Total bilirubin (mg/dl)</td>
<td align="center">2.4 (1.0&#x2013;3.6)</td>
<td align="center">1.7 (1.0&#x2013;2.9)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">1.2 (0.7&#x2013;2.1)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">1.0 (0.7&#x2013;2.1)<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Sodium (mEq/L)</td>
<td align="center">133.9&#x00B1;5.4</td>
<td align="center">137.8&#x00B1;3.9<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">138.1 &#x00B1; 3.0<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">138.2 &#x00B1; 2.6<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref></td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Cirrhosis etiology (%)<break/>&#x2003;HCV<break/>&#x2003;ETOH<break/>&#x2003;ETOH and HCV<break/>&#x2003;NASH</td>
<td align="center"><break/>18.8<break/>43.8<break/>18.8<break/>18.8</td>
<td align="center"><break/>25.9<break/>37.0<break/>11.2<break/>25.9</td>
<td align="center"><break/>42.6<break/>24.6<break/>3.3<break/>29.5</td>
<td align="center"><break/>34.6<break/>22.2<xref ref-type="table-fn" rid="tf2-3">&#x002A;</xref><break/>13.6<break/>29.6</td>
<td align="center"><break/>0.6<break/>0.05<break/>0.2<break/>0.2</td>
</tr>
<tr>
<td align="left">Vitamin D supplementation (%)</td>
<td align="center">31.3</td>
<td align="center">25.9</td>
<td align="center">34.5</td>
<td align="center">44.3</td>
<td align="center">0.3</td>
</tr>
<tr>
<td align="left">Calcium supplementation (%)</td>
<td align="center">25.0</td>
<td align="center">14.8</td>
<td align="center">20.7</td>
<td align="center">26.6</td>
<td align="center">0.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data shown as frequency (%) or mean &#x00B1; standard deviation;</p>
</fn>
<fn id="tf2-1">
<label>a</label>
<p>Data shown as median (interquartile range); BMI = body mass index, HCV = hepatitis C virus, MELD-Na = modeling end-stage liver disease score (<xref ref-type="bibr" rid="cit0019">19</xref>), NASH = non-alcohol steatohepatitis;</p>
</fn>
<fn id="tf2-2">
<label>b</label>
<p>Corrected calcium = measured total calcium in mg/dL + [0.8 &#x00D7; (4 &#x2013; albumin in g/dl)];</p>
</fn>
<fn id="tf2-3">
<label>&#x002A;</label>
<p>P &#x003C; 0.01 compared to group with 25(OH)D &#x003C;12 ng/ml.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>No correlation was noted between albumin-corrected calcium and 25(OH)D levels in the total group (<xref ref-type="fig" rid="f0001">Figure 1</xref>) or in groups stratified by vitamin D and calcium supplementation use (<xref ref-type="fig" rid="f0002">Figure 2</xref>). In contrast, both serum albumin (r = 0.32; P &#x003C; 0.001) and MELD-Na scores (r = &#x2013;0.29; P &#x003C; 0.001) were significantly correlated with 25(OH)D levels (<xref ref-type="fig" rid="f0003">Figure 3</xref>). After excluding 67 patients receiving vitamin D supplementation, correlations between 25(OH)D and serum albumin (r = 0.39; P &#x003C; 0.001) and MELD-Na scores (r = &#x2212;0.33; P = 0.009) did not change substantially. The results of the linear regression models are shown in <xref ref-type="table" rid="t0003">Table 3</xref>. Serum albumin and MELD-Na scores alone accounted for 9% and 17% of the variance in log-transformed 25(OH)D levels, respectively. Serum albumin levels combined with all covariates and MELD-Na scores combined with all covariates accounted for 12.6% and 23.1% of the variance of log-transformed 25(OH)D levels, respectively. In the linear regression models, only serum albumin and MELD-Na scores were significantly associated with log-transformed 25(OH)D levels.</p>
<fig id="f0001">
<label>Figure 1</label>
<caption>
<p>Scatterplot of corrected serum calcium levels by 25-hydroxyvitamin D [25(OH)D] levels in the total group of patient participants with cirrhosis (n = 180).</p>
</caption>
<graphic xlink:href="https://jrenhep.com/article/download/15/version/13/32/197/015_F0001.jpg"/>
</fig>
<fig id="f0002">
<label>Figure 2</label>
<caption>
<p>Scatterplot of relationship of serum 25-hydroxyvitamin D [25(OH)D]and serum-corrected calcium in patients receiving both vitamin D and calcium supplementation (n = 37) (top) and in patients not receiving vitamin D or calcium supplementation (n = 109) (bottom).</p>
</caption>
<graphic xlink:href="https://jrenhep.com/article/download/15/version/13/32/199/015_F0002.jpg"/>
</fig>
<fig id="f0003">
<label>Figure 3</label>
<caption>
<p>Scatterplots of 25-hydroxyvitamin D [25(OH)D] levels by serum albumin levels (top) and by MELD-Na scores (bottom) in patients with cirrhosis (n = 180).</p>
</caption>
<graphic xlink:href="https://jrenhep.com/article/download/15/version/13/32/201/015_F0003.jpg"/>
</fig>

<table-wrap id="t0003">
<label>Table 3</label>
<caption>
<p>Results of linear regression models with log transformed 25(OH)D levels as dependent variable</p>
</caption>
<table frame="border" rules="all">
<thead>
<tr>
<th align="left"/>
<th colspan="2" align="center">Model with MELD-Na</th>
<th align="center">+R<sup>2</sup></th>
<th colspan="2" align="center">Model with Albumin</th>
<th align="left">+R<sup>2</sup></th>
</tr>
<tr>
<th align="left"/>
<th align="center">Beta (SE)</th>
<th align="center">P-value</th>
<th align="center">0.23</th>
<th align="center">Beta (SE)</th>
<th align="center">P-value</th>
<th align="left">0.13</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Albumin</td>
<td align="center">&#x2013;</td>
<td align="center"/>
<td align="left"/>
<td align="center">0.23 (0.23)</td>
<td align="center">&#x003C;0.001</td>
<td align="left"/>
</tr>
<tr>
<td align="left">MELD</td>
<td align="center">&#x2212;0.04 (0.01)</td>
<td align="center">&#x003C;0.001</td>
<td align="left"/>
<td align="center">&#x2013;</td>
<td align="center"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Age</td>
<td align="center">0.01 (0.004)</td>
<td align="center">0.07</td>
<td align="left"/>
<td align="center">0.01 (0.005)</td>
<td align="center">0.8</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Sex</td>
<td align="center">&#x2212;0.04 (0.08)</td>
<td align="center">0.7</td>
<td align="left"/>
<td align="center">&#x2212;0.05 (0.08)</td>
<td align="center">0.5</td>
<td align="left"/>
</tr>
<tr>
<td align="left">White race vs. non-white race</td>
<td align="center">0.13 (0.10)</td>
<td align="center">0.2</td>
<td align="left"/>
<td align="center">0.07 (0.09)</td>
<td align="center">0.4</td>
<td align="left"/>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="center">&#x2212;0.01 (0.01)</td>
<td align="center">0.2</td>
<td align="left"/>
<td align="center">0.0001 (0.006)</td>
<td align="center">0.9</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Liver disease due to alcohol vs. other</td>
<td align="center">0.02 (0.1)</td>
<td align="center">0.8</td>
<td align="left"/>
<td align="center">&#x2212;0.03 (0.09)</td>
<td align="center">0.8</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Vitamin D supplementation</td>
<td align="center">0.14 (0.08)</td>
<td align="center">0.1</td>
<td align="left"/>
<td align="center">0.10 (0.08)</td>
<td align="center">0.2</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MELD-Na = modeling end-stage liver disease score(<xref ref-type="bibr" rid="cit0019">19</xref>); SE = standard error; R<sup>2</sup> indicates the amount of variance in log transformed 25(OH)D levels explained by the model; beta represents the change in log transformed 25(OH)D levels with every unit increase in the predictor variable after adjustment for all variables in the linear regression model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec4" sec-type="discussion">
<title>Discussion</title>
<p>In this single center study, we show that low vitamin D levels are common in patients with cirrhosis, as demonstrated in previous studies (<xref ref-type="bibr" rid="cit0006">6</xref>, <xref ref-type="bibr" rid="cit0007">7</xref>, <xref ref-type="bibr" rid="cit0009">9</xref>, <xref ref-type="bibr" rid="cit0026">26</xref>&#x2013;<xref ref-type="bibr" rid="cit0028">28</xref>). However, the prevalence of low vitamin levels, defined as 25(OH)D levels &#x003C;20 ng/ml, was less than many previous studies (<xref ref-type="bibr" rid="cit0007">7</xref>, <xref ref-type="bibr" rid="cit0026">26</xref>&#x2013;<xref ref-type="bibr" rid="cit0028">28</xref>), which may be due to higher use of vitamin D supplementation and lower disease severity in our patient population. One study of 202 pre-liver transplant patients reported that 25(OH)D levels were less than 20 ng/ml among 84% of patients prior to liver transplantation, with 13% having undetectable concentrations (<xref ref-type="bibr" rid="cit0009">9</xref>). Our study also confirms the findings of several previous studies that demonstrated an inverse correlation between 25(OH)D levels and measures of liver disease severity (<xref ref-type="bibr" rid="cit0006">6</xref>, <xref ref-type="bibr" rid="cit0009">9</xref>, <xref ref-type="bibr" rid="cit0026">26</xref>, <xref ref-type="bibr" rid="cit0029">29</xref>&#x2013;<xref ref-type="bibr" rid="cit0031">31</xref>), such as the Child Pugh score and MELD score, and a positive correlation with serum albumin concentrations. Another important finding of the present study was that low 25(OH)D levels were not associated with serum calcium levels in patients with cirrhosis. In fact, no patient had an albumin-corrected serum calcium value &#x003C;8.5 mg/dl.</p>
<p>While the relationship between cirrhosis and vitamin D deficiency is well-described (<xref ref-type="bibr" rid="cit0006">6</xref>, <xref ref-type="bibr" rid="cit0028">28</xref>), it remains uncertain how vitamin D deficiency impacts calcium homeostasis in patients with cirrhosis. One study of 158 pre-transplant patients with end-stage liver disease examined the serum levels of calcium and intact parathyroid hormone levels (iPTH) across the spectrum of 25(OH)D levels. This study found no differences in mean serum iPTH and corrected calcium levels among these patients (<xref ref-type="bibr" rid="cit0032">32</xref>). The lack of a correlation between calcium, iPTH, and total 25(OH)D levels may be due to the fact that total 25(OH)D includes a large fraction of 25(OH)D that is tightly bound to VDBG, and relatively small amounts of 25(OH)D bound loosely to albumin and 25(OH)D circulating freely or unbound. It has been hypothesized that the 25(OH)D circulating tightly bound to VDBG is not as clinically important as the vitamin D circulating free or loosely bound to albumin, known as bioavailable vitamin D (<xref ref-type="bibr" rid="cit0016">16</xref>, <xref ref-type="bibr" rid="cit0033">33</xref>). The existence of compensatory mechanisms for vitamin D homeostasis in advanced liver disease was suggested by findings from a small study, which showed significantly lower total 25(OH)D levels among 24 patients with cirrhosis compared to 107 healthy controls while measured free 25(OH)D levels were higher among the adults with cirrhosis (<xref ref-type="bibr" rid="cit0033">33</xref>). A study of liver transplant recipients, most of who were vitamin D deficient pre-transplant, found that total and free 25(OH)D along with VDBG increased after transplantation (<xref ref-type="bibr" rid="cit0009">9</xref>). While vitamin D has been hypothesized to modulate inflammation and fibrosis in liver disease (<xref ref-type="bibr" rid="cit0026">26</xref>, <xref ref-type="bibr" rid="cit0034">34</xref>), it is not clear whether lower vitamin D levels in patients with cirrhosis are a cause or an effect of liver disease progression. The possibility that low vitamin D levels contribute to liver disease progression is intriguing, although the available data have not established a clear causal association. It is also possible that low total vitamin D levels simply reflect the severity of liver disease. As liver disease worsens, hepatic production of VDBG decreases and total measured 25(OH)D levels are consequently lower. Indeed, our study showed a significant and inverse correlation between 25(OH)D levels and MELD-Na scores. These findings are supported by previous studies, which also showed significant and inverse correlations between 25(OH)D levels and liver disease measures (<xref ref-type="bibr" rid="cit0026">26</xref>, <xref ref-type="bibr" rid="cit0028">28</xref>).</p>
<p>This study includes a large number of adults with cirrhosis, and the 25(OH)D and serum calcium levels were evaluated as part of a routine clinical examination. The study is limited by lack of information on levels of 1,25-dihydroxyvitamin D levels, the active form of vitamin D, and VDBG. We also did not have information on other markers of vitamin D homeostasis such as iPTH levels. Serum calcium levels may be affected by several factors other than vitamin D, including serum iPTH levels and dietary calcium intake. While we did have information on calcium supplement use, information on dietary calcium intake was not collected. In addition, we did not have measures of patient compliance with the vitamin D and calcium supplements.</p>
</sec>
<sec id="sec5" sec-type="conclusions">
<title>Conclusion</title>
<p>This study shows that total 25(OH)D levels correlate inversely with liver disease severity in adults with cirrhosis, while no correlation exists between 25(OH)D levels and albumin-corrected serum calcium levels. The findings from this study along with other previous studies support the existence of compensatory mechanisms for maintaining calcium homeostasis in patients with advanced liver diseases. Future studies should examine changes in measures of vitamin D and vitamin D homeostasis with vitamin D supplementation in patients with cirrhosis. Such information may help elucidate whether vitamin D supplementation interferes with existing compensatory mechanisms for maintaining vitamin D homeostasis in the setting of advanced liver disease.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors thank the patients who participate in the Loyola cirrhosis cohort study.</p>
</ack>
<sec sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>The authors report no conflicts of interest with respect to research, authorship, and/or publication of this article.</p>
</sec>
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