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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/etm.2016.3438</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-3438</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Risk factors associated with secondary hyperparathyroidism in patients with chronic kidney disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Wei</surname><given-names>Yudan</given-names></name>
<xref rid="af1-etm-0-0-3438" ref-type="aff">1</xref>
<xref rid="fn1-etm-0-0-3438" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Lin</surname><given-names>Jing</given-names></name>
<xref rid="af2-etm-0-0-3438" ref-type="aff">2</xref>
<xref rid="fn1-etm-0-0-3438" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Fan</given-names></name>
<xref rid="af3-etm-0-0-3438" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xiujiang</given-names></name>
<xref rid="af4-etm-0-0-3438" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Hou</surname><given-names>Yue</given-names></name>
<xref rid="af1-etm-0-0-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Lu</surname><given-names>Ronghua</given-names></name>
<xref rid="af5-etm-0-0-3438" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Shi</surname><given-names>Xiaonv</given-names></name>
<xref rid="af1-etm-0-0-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Zhi</given-names></name>
<xref rid="af1-etm-0-0-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Du</surname><given-names>Yujun</given-names></name>
<xref rid="af1-etm-0-0-3438" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-3438" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-etm-0-0-3438"><label>1</label>Department of Nephrology, First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China</aff>
<aff id="af2-etm-0-0-3438"><label>2</label>Department of Nephrology, The First Affiliated Hospital of Luohe Medical College, Luohe, Henan 462000, P.R. China</aff>
<aff id="af3-etm-0-0-3438"><label>3</label>Reproductive Center of the First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China</aff>
<aff id="af4-etm-0-0-3438"><label>4</label>Department of Intensive Care Unit, Jilin Tumor Hospital, Changchun, Jilin 130021, P.R. China</aff>
<aff id="af5-etm-0-0-3438"><label>5</label>Department of Nephrology, Jilin City Central Hospital, Changchun, Jilin 132000, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-3438"><italic>Correspondence to</italic>: Dr Yujun Du, Department of Nephrology, First Hospital of Jilin University, 71 Xinmin Street, Changchun, Jilin 130021, P.R. China, E-mail: <email>kjkduyujun@126.com</email></corresp>
<fn id="fn1-etm-0-0-3438"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>08</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>08</day>
<month>06</month>
<year>2016</year></pub-date>
<volume>12</volume>
<issue>2</issue>
<fpage>1206</fpage>
<lpage>1212</lpage>
<history>
<date date-type="received"><day>31</day><month>03</month><year>2015</year></date>
<date date-type="accepted"><day>29</day><month>04</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year>
</permissions>
<abstract>
<p>Secondary hyperparathyroidism (SHPT) is common in patients with chronic kidney disease (CKD), and its development and progression are affected by various factors. The aim of the present study was to identify the risk factors for SHPT in patients with CKD. A retrospective study was performed in 498 patients (305 males and 193 females) with CKD, observed in the The First Hospital of Jilin University between January 2008 and December 2012. The demographic, clinical and laboratory data were collected. Patients were divided into the SHPT group (n=424) with elevated serum parathyroid hormone (PTH) expression levels and the control group (n=74) with normal serum PTH expression levels. Univariate and multivariate regression analyses were employed to explore the risk factors for SHPT. Serum PTH expression levels in women with CKD were significantly higher than in men (P=0.047). Serum PTH expression levels were positively correlated with the expression levels of serum creatinine (P&#x003C;0.01), phosphorus (P&#x003C;0.01), C-reactive protein (P&#x003C;0.05), triglyceride (P&#x003C;0.05), cholesterol (P&#x003C;0.05) and low-density lipoprotein cholesterol (P&#x003C;0.05), but were negatively correlated with the expression levels of hemoglobin (P&#x003C;0.05), calcium (P&#x003C;0.01) and CO<sub>2</sub> combining power (P&#x003C;0.01) in patients with CKD. Multivariate analysis showed that the serum expression levels of creatinine [&#x00B5;mol/l; odds radio (OR), 1.003; 95&#x0025; confidence interval (CI), 1.002&#x2013;1.004; P=0.001] and phosphorus (mmol/l; OR, 2.19; 95&#x0025; CI, 1.254&#x2013;3.826; P=0.006) in patients with CKD significantly influenced serum PTH expression levels. The SHPT risk factors include female gender, low calcium, high phosphorus, acidosis, anemia, hypertension, hyperlipidemia and micro-inflammation, with blood phosphorus and creatinine being independent risk factors.</p>
</abstract>
<kwd-group>
<kwd>chronic kidney disease</kwd>
<kwd>secondary hyperparathyroidism</kwd>
<kwd>risk factor</kwd>
<kwd>phosphorus</kwd>
<kwd>creatinine</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>The incidence of chronic kidney disease (CKD) is rapidly increasing, posing a serious health problem worldwide. More than 16 million adults are affected by end stage CKD in the USA (<xref rid="b1-etm-0-0-3438" ref-type="bibr">1</xref>,<xref rid="b2-etm-0-0-3438" ref-type="bibr">2</xref>). Abnormal serum calcium, phosphorus and parathyroid hormone (PTH) expression levels are common challenges in the management of CKD (<xref rid="b3-etm-0-0-3438" ref-type="bibr">3</xref>,<xref rid="b4-etm-0-0-3438" ref-type="bibr">4</xref>). These biochemical abnormalities, together with the dysregulation of vitamin D metabolism and bone turnover, constitute a systemic syndrome termed CKD mineral and bone disorder (CKD-MBD) (<xref rid="b5-etm-0-0-3438" ref-type="bibr">5</xref>).</p>
<p>Secondary hyperparathyroidism (SHPT) is a common complication of patients with CKD, which is characterized by increased blood PTH levels, and abnormal mineral and bone metabolism (<xref rid="b6-etm-0-0-3438" ref-type="bibr">6</xref>). It is associated with increased morbidity and mortality, and adversely influences the quality of life of patients with CKD (<xref rid="b3-etm-0-0-3438" ref-type="bibr">3</xref>,<xref rid="b6-etm-0-0-3438" ref-type="bibr">6</xref>). The incidence of SHPT is reported to increase with the stage of CKD: 40&#x0025; in stage 3, 70&#x0025; in stage 4 and &#x003E;80&#x0025; in stage 5 (<xref rid="b4-etm-0-0-3438" ref-type="bibr">4</xref>,<xref rid="b7-etm-0-0-3438" ref-type="bibr">7</xref>).</p>
<p>The kidneys are vital organs regulating calcium and phosphorous homeostasis (<xref rid="b8-etm-0-0-3438" ref-type="bibr">8</xref>). SHPT is an adaptive pathophysiological process in response to deteriorating renal insufficiency (<xref rid="b6-etm-0-0-3438" ref-type="bibr">6</xref>). The fundamental mechanism of PTH in kidneys is to suppress the reabsorption of phosphate in the proximal tubule, and to stimulate calcium reabsorption in the ascending loop of Henle, distal tubule and collecting tubule (<xref rid="b8-etm-0-0-3438" ref-type="bibr">8</xref>). Upon the stimulation of PTH, renal calcium reabsorption and phosphate excretion are increased (<xref rid="b9-etm-0-0-3438" ref-type="bibr">9</xref>). Renal insufficiency leads to the dysregulation of calcium and phosphorous homeostasis, and results in reduced renal phosphate excretion and increased fibroblast growth factor-23 (FGF-23); the latter is a hormone that is primarily secreted by osteoblasts and osteocytes (<xref rid="b10-etm-0-0-3438" ref-type="bibr">10</xref>,<xref rid="b11-etm-0-0-3438" ref-type="bibr">11</xref>). FGF-23 regulates circulating phosphate by decreasing sodium phosphate co-transporters in the proximal tubule of the kidneys. It also blocks the synthesis of serum vitamin D by inhibiting the expression of 25-dihydroxyvitamin D3 1&#x03B1; hydroxylase (1,25-(OH)<sub>2</sub>D<sub>3</sub>) in the kidneys (<xref rid="b12-etm-0-0-3438" ref-type="bibr">12</xref>). These alterations further stimulate the production of PTH and hyperplasia of the parathyroid. In turn, these changes cause increasingly severe impairment of calcium and phosphorous metabolisms (<xref rid="b13-etm-0-0-3438" ref-type="bibr">13</xref>). If not properly managed, progressive SHPT can have severe consequences, and may lead to multi-system damages and malfunction of multiple organs that can result in bone disease, soft tissue calcification, vascular calcification and mortality (<xref rid="b6-etm-0-0-3438" ref-type="bibr">6</xref>).</p>
<p>The development and progression of SHPT is influenced by various factors. In addition to the well-recognized risk factors of impaired calcium and phosphorus metabolism and reduced 1,25-(OH)<sub>2</sub>D<sub>3</sub> expression levels, numerous other factors have been implicated, such as anemia, acidosis, co-morbidities of cardiovascular disease and diabetes, and inflammation (<xref rid="b6-etm-0-0-3438" ref-type="bibr">6</xref>). In addition, SHPT itself is a risk factor for these pathophysiological conditions. Elevated PTH is associated with a greater prevalence and incidence of cardiovascular disease, and is an important cardiovascular disease risk factor (<xref rid="b14-etm-0-0-3438" ref-type="bibr">14</xref>). However, the complex interactions of these risk factors with SHPT remain unclear. In the current retrospective study, a large cohort of patients were recruited in order to analyze the association between risk factors influencing SHPT in patients with CKD, with a particular emphasis on laboratory biochemical measures. Early identification of risk factors could help prevent and treat SHPT in patients with CKD.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patients</title>
<p>The study protocol was reviewed and approved by the Institutional Review Committees of the First Hospital of Jilin University, Changchun, China. The data from 498 consecutive cases of CKD enrolled in The First Hospital of Jilin University between January 2008 and December 2012 was extracted and reviewed. Patients aged 10&#x2013;74 years with an age-stratified estimated glomerular filtration rate of 20&#x2013;70 ml/min/1.73 m<sup>2</sup> were included in the study. The inclusion criteria were as follows: i) Aged &#x2265;18 years and met the clinical practice guideline for chronic kidney disease [kidney disease outcome quality initiative (K/DOQI)] (<xref rid="b15-etm-0-0-3438" ref-type="bibr">15</xref>); ii) have complete laboratory measurements; and iii) cases with primary hyperparathyroidism were excluded from the study. The exclusion criteria included: i) Use of ossification, calcium or phosphorus in the past 3 months; ii) history of bleeding or transfusion in the past 3 months; iii) severe infection in the past 3 months; and iv) history of human immunodeficiency virus infection, primary liver disease, cancer or autoimmune diseases.</p>
</sec>
<sec>
<title>Study design</title>
<p>Demographic and clinical data were extracted from all patients with a confirmed diagnosis of CKD, including age, gender, body mass index, history of hypertension, diabetes, primary disease and other clinical data. Laboratory values were also collected from all patients with CKD. Based on serum PTH expression levels, the patients were divided into two groups: The SHPT group with elevated PTH expression levels (&#x003E;88 pg/ml) and the control group with normal PTH expression levels (&#x003C;88 pg/ml).</p>
</sec>
<sec>
<title>Laboratory measures</title>
<p>After overnight fasting, blood samples were drawn using uniform techniques during the early morning in The First Hospital of Jilin University. The laboratory measurements included serum creatinine, hemoglobin (Hb), carbon dioxide combining power (CO<sub>2</sub>CP), triglyceride (TG), cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), C-reactive protein (CRP), serum albumin, serum calcium and phosphorus. CRP was detected using a turbidimetric immunoassay method (Siemens BN II; Siemens AG, Berlin, Germany). PTH was detected using a chemiluminescence method using Beckman DXI800 (Beckman Coulter, Inc., Indianapolis, IN, USA). 24 h urinary protein was detected using a pyrogallol red molybdate complex method (<xref rid="b16-etm-0-0-3438" ref-type="bibr">16</xref>). Serum PTH, calcium and phosphorus levels were measured using methods described previously (<xref rid="b17-etm-0-0-3438" ref-type="bibr">17</xref>). Hb levels were determined using sodium dodecyl sulfate hemoglobin determination (<xref rid="b18-etm-0-0-3438" ref-type="bibr">18</xref>). Other laboratory values were measured by standard methods according to the manufacturer&#x0027;s protocol using an auto analyzer (Hitachi 7600-210; Hitachi, Ltd., Tokyo, Japan).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>SPSS version 19.0 software (IBM SPSS, Armonk, NY, USA) was used for all statistical analyses. Results are presented as the mean &#x00B1; standard deviation for continuous variables. Student&#x0027;s t-test was used for comparisons between two groups with normal distributions, and the Wilcoxon-Mann-Whitney U test was used for groups with non-normal distributions. &#x03C7;<sup>2</sup> test was used to analyze the differences between categorical data. Linear correlation analysis was performed to examine the association between serum PTH expression levels and the expression levels of other laboratory parameters; Pearson&#x0027;s correlation coefficients are presented. Multivariate logistic regression analysis was used to analyze the risk factors for SHPT. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Patient characteristics</title>
<p>A total of 498 patients with a confirmed diagnosis of CKD were included in this retrospective study, including 305 males and 193 females (male to female ratio, 1.58:1). The mean age was 49.75 years (40&#x2013;59 years). There were 424 patients with elevated PTH expression levels and 74 patients with normal serum PTH expression levels. The main causes of CKD were primary glomerular disease (53.61&#x0025;), diabetic nephropathy (16.67&#x0025;), hypertensive nephropathy (8.84&#x0025;), chronic interstitial nephritis (7.03&#x0025;), polycystic kidney (3.41&#x0025;) and others (10.44&#x0025;). The co-morbid conditions included hypertension (83.13&#x0025;) and diabetes mellitus (16.67&#x0025;).</p>
</sec>
<sec>
<title>Comparisons of demographic and clinical characteristics between patients with normal PTH and elevated PTH expression levels</title>
<p>The differences in demographic and clinical characteristics between the normal PTH and elevated PTH groups in patients with CKD were compared and the results are presented in <xref rid="tI-etm-0-0-3438" ref-type="table">Table I</xref>. The age distribution had no significant difference between the control and SHPT groups (51.26&#x00B1;15.74 vs. 49.45&#x00B1;16.33 years; P=0.476). However, the difference in gender between the two groups was significant (P=0.047); 71.62&#x0025; were male in the normal PTH group and 59.43&#x0025; were male in the SHPT group. Female patients accounted for 28.38 and 40.57&#x0025; in the two groups, respectively, indicating that increased PTH occurred more frequently in women than in men.</p>
<p>Primary underlying diseases had no significant effect on PTH expression levels (P=0.445). The disease distributions were similar in the control and SHPT groups: Primary glomerular diseases (55.41 vs. 53.30&#x0025;), diabetic nephropathy (2.70 vs. 7.31&#x0025;), hypertensive nephropathy (16.2 vs. 16.5&#x0025;) and chronic interstitial nephritis (10.8 vs. 8.49&#x0025;). The presence of co-morbid hypertension was significantly different between the two groups (73.00 vs. 84.9&#x0025;; P&#x003C;0.05; <xref rid="tI-etm-0-0-3438" ref-type="table">Table I</xref>)</p>
</sec>
<sec>
<title>Comparisons of laboratory biochemical markers between patients with normal and elevated PTH expression levels</title>
<p>The differences in the laboratory biochemical measurements between the two groups were analyzed. Compared with the control group, the mean serum expression levels of creatinine, CRP, TG, TC and LDL-C were significantly increased, and the mean levels of hemoglobin and CO<sub>2</sub>CP were significantly decreased, in the elevated PTH group (all P&#x003C;0.05). However, the values of serum albumin and 24 h urinary protein were not significantly different between the two groups (P&#x003E;0.05). Compared with the normal PTH group, the mean calcium levels were significantly decreased and the mean phosphorus levels were significantly increased in patients with elevated PTH expression levels (both P&#x003C;0.01; <xref rid="tII-etm-0-0-3438" ref-type="table">Table II</xref>)</p>
</sec>
<sec>
<title>Multivariate analysis of risk factors influencing SHPT</title>
<p>A multivariate logistic regression analysis was performed in order to identify independent factors of SHPT. The results demonstrated that the serum creatinine [&#x00B5;mol/l; odds radio (OR), 1.003; 95&#x0025; confidence interval (CI), 1.002&#x2013;1.004; P=0.001) and serum phosphorus (mmol/l; OR, 2.19; 95&#x0025; CI, 1.254&#x2013;3.826; P=0.006) were independent risk factors for SHPT (<xref rid="tIII-etm-0-0-3438" ref-type="table">Table III</xref>).</p>
</sec>
<sec>
<title>Correlation analysis of serum PTH expression levels with biochemical markers in patients with CKD</title>
<p>Correlation analyses were performed in order to analyze the associations between serum PTH with laboratory biochemical measurements in patients with CKD. As presented in <xref rid="tIV-etm-0-0-3438" ref-type="table">Table IV</xref>, the results indicated that serum PTH expression levels were positively correlated with the expression levels of serum creatinine (P&#x003C;0.01), phosphorus (P&#x003C;0.01), CRP (P&#x003C;0.001), TG (P&#x003C;0.001), TC (P&#x003C;0.001) and LDL-C (P=0.011), and negatively correlated with the expression levels of blood hemoglobin (P=0.025), calcium (P&#x003C;0.001) and CO<sub>2</sub>CP (P&#x003C;0.001). There were no significant correlations between the PTH expression levels and serum albumin, HDL-C or 24 h urinary protein in these patients (P&#x003E;0.05; <xref rid="tIV-etm-0-0-3438" ref-type="table">Table IV</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>SHPT is a progressive and severe complication frequently associated with CKD. The development and progression is affected by several factors associated with various mechanisms (<xref rid="b6-etm-0-0-3438" ref-type="bibr">6</xref>). To determine the risk factors of SHPT in patients with CKD, a retrospective study with a large cohort of patients who were clinically diagnosed with CKD was conducted. The elevated serum PTH expression levels were shown to be positively correlated with the severity of hyperparathyroidism. Based on serum PTH expression levels, patients were divided into normal PTH and elevated PTH expression level groups. For patients with elevated PTH expression levels, primary hyperparathyroidism cases were excluded prior to enrollment in the study. The present study demonstrated that 85.14&#x0025; patients with CKD had elevated serum PTH expression levels, which was similar to that in previous reports (<xref rid="b7-etm-0-0-3438" ref-type="bibr">7</xref>,<xref rid="b19-etm-0-0-3438" ref-type="bibr">19</xref>). Andress <italic>et al</italic> (<xref rid="b7-etm-0-0-3438" ref-type="bibr">7</xref>) reported that ~40&#x0025; patients with CKD stage 3 and 80&#x0025; of patients with CKD stage 4 are affected by SHPT. Dr&#x00FC;eke (<xref rid="b19-etm-0-0-3438" ref-type="bibr">19</xref>) reported that SHPT is observed in 20&#x2013;80&#x0025; patients with CKD, depending on the stages of the disease.</p>
<p>In the present study, it was observed that elevated PTH was more commonly observed in women compared with men, suggesting that there is a significant gender difference in PTH elevation. A previous study suggested that the elevated estrogen and estrogen receptor expression levels upregulate the mRNA expression levels of PTH in parathyroid cells (<xref rid="b20-etm-0-0-3438" ref-type="bibr">20</xref>), which may explain the gender difference in the development of SHPT.</p>
<p>Among the underlying diseases causing CKD, primary glomerulonephritis remains the leading cause of CKD (<xref rid="b21-etm-0-0-3438" ref-type="bibr">21</xref>). The disease accounted for 53.61&#x0025; of the cases in the present study, which is similar to previous studies that reported 55&#x0025; (<xref rid="b3-etm-0-0-3438" ref-type="bibr">3</xref>,<xref rid="b4-etm-0-0-3438" ref-type="bibr">4</xref>). Hypertension is a risk factor of CKD and also a common complication of CKD (<xref rid="b22-etm-0-0-3438" ref-type="bibr">22</xref>,<xref rid="b23-etm-0-0-3438" ref-type="bibr">23</xref>). With the progression of CKD, 80&#x2013;85&#x0025; patients have elevated blood pressure. The current study demonstrated that 83.14&#x0025; patients with CKD had hypertension, and the majority of these hypertensive patients had SHPT. A previous study (<xref rid="b24-etm-0-0-3438" ref-type="bibr">24</xref>) has suggested that elevation of PTH expression levels in patients with end-stage kidney disease increases cytoplasmic calcium concentration in vascular smooth muscle cells and thereby promotes vessel contraction. The enhanced resistance of peripheral vessel increases blood pressure. In turn, hypertension stimulates the secretion of PTH and promotes the progression of secondary hyperparathyroidism. This cycle accelerates the deterioration of renal insufficiency.</p>
<p>Blood phosphorus expression levels are one of the most important factors stimulating the synthesis and secretion of PTH in patients with CKD (<xref rid="b25-etm-0-0-3438" ref-type="bibr">25</xref>). With worsening renal function, the excretion of phosphorus from renal tubular decreases and blood phosphorus levels increase (<xref rid="b25-etm-0-0-3438" ref-type="bibr">25</xref>). The results from the present study demonstrated that hyperphosphatemia was an independent risk factor influencing the development of SPTH. Voormolen <italic>et al</italic> (<xref rid="b26-etm-0-0-3438" ref-type="bibr">26</xref>) reported that elevated plasma phosphorus directly stimulates the synthesis and secretion of PTH in patients with stage 4&#x2013;5 CKD. The effect of plasma phosphorus is independent of the level of plasma calcium or the activation of vitamin D. The results in the current study were in line with this report, indicating that hyperphosphatemia is an independent risk factor affecting renal function in patients with CKD.</p>
<p>Blood calcium expression levels are another important factor affecting PTH in patients with CKD (<xref rid="b27-etm-0-0-3438" ref-type="bibr">27</xref>). In the present study, univariate analyses showed that the blood calcium expression levels were significantly lower in patients with elevated PTH expression levels compared with in patients with normal PTH expression levels (P&#x003C;0.05). Unlike the plasma phosphorus expression levels, the plasma calcium expression levels were not an independent risk factor for the elevation of PTH.</p>
<p>Serum creatinine expression levels are a commonly used index indirectly assessing the renal function of patients, and the rising of serum creatinine predicts the worsening of renal function (<xref rid="b28-etm-0-0-3438" ref-type="bibr">28</xref>). According to the K/DOQI guidelines (<xref rid="b15-etm-0-0-3438" ref-type="bibr">15</xref>), once the glomerular filtration rate of patients with CKD is &#x003C;60 ml/min, PTH expression levels increase and calcium expression levels decrease. Previous reports (<xref rid="b15-etm-0-0-3438" ref-type="bibr">15</xref>,<xref rid="b29-etm-0-0-3438" ref-type="bibr">29</xref>) have suggested that PTH elevation is negatively correlated with the reduction of the glomerular filtration rate. The results of the present study demonstrated that PTH is negatively correlated with serum creatinine expression levels in patients with CKD. In addition, multivariate analysis revealed that serum creatinine expression levels are an independent risk factor for SHPT. Metabolic acidosis is common in patients with chronic renal insufficiency. Due to the decline of hydrogen excretion or HCO<sub>3</sub> reabsorption in renal tubular, phosphoric acid, sulfuric acid and other acidic substances are retained inside the body (<xref rid="b30-etm-0-0-3438" ref-type="bibr">30</xref>,<xref rid="b31-etm-0-0-3438" ref-type="bibr">31</xref>). Acidosis inhibits the activity of 1-&#x03B1; hydroxylase in the proximal tubule, and thereby inhibits the synthesis of 1,25-(OH)<sub>2</sub>D<sub>3</sub>. Disthabanchong <italic>et al</italic> (<xref rid="b32-etm-0-0-3438" ref-type="bibr">32</xref>) suggested that metabolic acidosis promotes the response to PTH in UMR 106-01 osteoblast-like cells, and that the effect is mediated by increasing the mRNA expression levels of the PTH/PTHrP receptor.</p>
<p>The C reactive protein is the most recognized inflammatory protein (<xref rid="b33-etm-0-0-3438" ref-type="bibr">33</xref>) and has been widely used to monitor the inflammatory responses in patients. Previous studies have suggested that microinflammation exists in patients with CKD (<xref rid="b34-etm-0-0-3438" ref-type="bibr">34</xref>,<xref rid="b35-etm-0-0-3438" ref-type="bibr">35</xref>); with the deterioration of renal insufficiency, microinflammation increases, resulting in glomerular sclerosis and the weakening of renal tubular elasticity. The release of various inflammatory mediators further promote the proliferation of glomerular mesangial cells, increase endothelial cell permeability, stimulate the production of white blood cells, and promote the release of superoxide and proteolytic enzymes (<xref rid="b34-etm-0-0-3438" ref-type="bibr">34</xref>,<xref rid="b35-etm-0-0-3438" ref-type="bibr">35</xref>). These changes further deteriorate renal function and aggravate the elevation of PTH (<xref rid="b36-etm-0-0-3438" ref-type="bibr">36</xref>).</p>
<p>Renal anemia is a common complication of CKD. The incidence of renal anemia increases significantly following stage 3 CKD (<xref rid="b37-etm-0-0-3438" ref-type="bibr">37</xref>). The severity of anemia indirectly reflects renal dysfunction. In the present study, it was observed that the serum PTH expression levels were negatively correlated with blood hemoglobin expression levels in patients with CKD. PTH is considered to be a uremic toxin, as it directly inhibits the hematopoietic function of bone marrow, increases the fragility of erythrocytes and shortens the life expectancy of erythrocytes (<xref rid="b38-etm-0-0-3438" ref-type="bibr">38</xref>). SHPT can also increase erythropoietin resistance (<xref rid="b39-etm-0-0-3438" ref-type="bibr">39</xref>). In addition, SHPT-induced bone damage results in the proliferation of fibroblasts and fibrosis of bone marrow, leading to secondary anemia (<xref rid="b40-etm-0-0-3438" ref-type="bibr">40</xref>). These mechanisms likely underlie the frequently occurring anemia in patients with CKD.</p>
<p>Abnormal lipid metabolism is common in patients with CKD, and is the most important risk factor for CKD-associated cardiovascular disease (<xref rid="b41-etm-0-0-3438" ref-type="bibr">41</xref>). In addition, lipid deposition has a direct toxic effect on renal function (<xref rid="b42-etm-0-0-3438" ref-type="bibr">42</xref>). Previous reports suggest that, in addition to proteinuria and hypertension, hyperlipidemia is the third important risk factor for CKD (<xref rid="b43-etm-0-0-3438" ref-type="bibr">43</xref>). Abnormal lipid metabolism and deposition are associated with microinflammation and oxidative stress (<xref rid="b44-etm-0-0-3438" ref-type="bibr">44</xref>). The current study demonstrated that PTH is positively correlated with the expression levels of serum TG, TC and LDL-C in patients with CKD, suggesting that hyperlipidemia is closely associated with SHPT.</p>
<p>Whereas previous studies have primarily focused on the analysis of traditional risk factors of SHPT, the current study analyzed multiple factors influencing the occurrence and development of SHPT (<xref rid="b25-etm-0-0-3438" ref-type="bibr">25</xref>,<xref rid="b45-etm-0-0-3438" ref-type="bibr">45</xref>,<xref rid="b46-etm-0-0-3438" ref-type="bibr">46</xref>). However, this retrospective study had a number of limitations. The selected patients were in different stages of renal insufficiency, which may influence the results of analysis. In addition, the sample size of the normal PTH expression level group was relatively small, which may have an impact on the correlation analyses.</p>
<p>In conclusion, the development of SHPT in patients with CKD is affected by numerous risk factors, including female gender, low expression levels of calcium, high expression levels of phosphorus, acidosis, anemia, hypertension, hyperlipidemia and C reactive protein. Serum phosphorus and serum creatinine are independent risk factors for SHPT. SHPT is likely to be the result of complex interactions among these factors. Early identification of the risk factor is beneficial to the prevention and treatment of CKD.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors thank Medjaden Bioscience Limited for assisting in the preparation of the manuscript.</p>
</ack>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>SHPT</term><def><p>secondary hyperparathyroidism</p></def></def-item>
<def-item><term>CKD</term><def><p>chronic kidney disease</p></def></def-item>
<def-item><term>PTH</term><def><p>parathyroid hormone</p></def></def-item>
<def-item><term>Hb</term><def><p>hemoglobin</p></def></def-item>
<def-item><term>CO<sub>2</sub>CP</term><def><p>carbon dioxide combining power</p></def></def-item>
<def-item><term>TG</term><def><p>triglyceride</p></def></def-item>
<def-item><term>TC</term><def><p>cholesterol</p></def></def-item>
<def-item><term>HDL-C</term><def><p>high-density lipoprotein cholesterol</p></def></def-item>
<def-item><term>LDL-C</term><def><p>low-density lipoprotein cholesterol</p></def></def-item>
<def-item><term>CRP</term><def><p>C-reactive protein</p></def></def-item>
<def-item><term>MBD</term><def><p>mineral and bone disorder</p></def></def-item>
<def-item><term>FGF-23</term><def><p>fibroblast growth factor-23</p></def></def-item>
<def-item><term>PTHrP</term><def><p>parathyroid hormone-related protein</p></def></def-item>
<def-item><term>EPO</term><def><p>erythropoietin</p></def></def-item>
</def-list>
</glossary>
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<floats-group>
<table-wrap id="tI-etm-0-0-3438" position="float">
<label>Table I.</label>
<caption><p>Univariate analyses in patients with chronic kidney disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Control</th>
<th align="center" valign="bottom" colspan="2">SHPT</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">No. of patients</th>
<th align="center" valign="bottom">&#x0025;</th>
<th align="center" valign="bottom">No. of patients</th>
<th align="center" valign="bottom">&#x0025;</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total (n=498)</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">424</td>
<td align="center" valign="top">100</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age, years (mean &#x00B1; SD)</td>
<td align="center" valign="top">51.26&#x00B1;15.74</td>
<td/>
<td align="center" valign="top">49.45&#x00B1;16.33</td>
<td/>
<td align="center" valign="top">0.476</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.047<sup><xref rid="tfn1-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">71.62</td>
<td align="center" valign="top">252</td>
<td align="center" valign="top">59.43</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">28.38</td>
<td align="center" valign="top">172</td>
<td align="center" valign="top">40.57</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Underlying cause</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.445</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Primary glomerular diseases</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">55.41</td>
<td align="center" valign="top">226</td>
<td align="center" valign="top">53.30</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Diabetic nephropathy</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2.70</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">7.31</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Hypertensive nephropathy</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">16.22</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">16.51</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Chronic interstitial nephritis</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">10.81</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">8.49</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Polycystic kidney</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.35</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">6.13</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Other</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">13.51</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">9.91</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Co-morbid condition</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Hypertension</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">72.91</td>
<td align="center" valign="top">360</td>
<td align="center" valign="top">84.91</td>
<td align="center" valign="top">0.011<sup><xref rid="tfn1-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-etm-0-0-3438"><label>a</label><p>P&#x003C;0.05. P values were obtained from comparisons between the SHPT and control group. SHPT, secondary hyperparathyroidism; SD, standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-etm-0-0-3438" position="float">
<label>Table II.</label>
<caption><p>Univariate analyses of biochemical factors affecting SHPT in patients with chronic kidney disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">Control<sup><xref rid="tfn3-etm-0-0-3438" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="bottom">SHPT<sup><xref rid="tfn3-etm-0-0-3438" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Serum albumin (g/dl)</td>
<td align="center" valign="top">32.59&#x00B1;7.56</td>
<td align="center" valign="top">31.48&#x00B1;6.47</td>
<td align="center" valign="top">0.189</td>
</tr>
<tr>
<td align="left" valign="top">Serum creatinine (&#x00B5;mol/l)</td>
<td align="center" valign="top">241.45&#x00B1;235.33</td>
<td align="center" valign="top">699.30&#x00B1;350.17</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Blood hemoglobin (g/dl)</td>
<td align="center" valign="top">117&#x00B1;27.36</td>
<td align="center" valign="top">88.50&#x00B1;24.96</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">CO<sub>2</sub>CP (mmol/l)</td>
<td align="center" valign="top">23.73&#x00B1;4.22</td>
<td align="center" valign="top">21.04&#x00B1;4.96</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">C-reactive protein (g/l)</td>
<td align="center" valign="top">1.76&#x00B1;10.16</td>
<td align="center" valign="top">3.11&#x00B1;14.41</td>
<td align="center" valign="top">0.018<sup><xref rid="tfn5-etm-0-0-3438" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Triglyceride (mmol/l)</td>
<td align="center" valign="top">1.23&#x00B1;1.14</td>
<td align="center" valign="top">1.58&#x00B1;0.92</td>
<td align="center" valign="top">0.024<sup><xref rid="tfn5-etm-0-0-3438" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Cholesterol (mmol/l)</td>
<td align="center" valign="top">4.20&#x00B1;1.29</td>
<td align="center" valign="top">4.65&#x00B1;1.29</td>
<td align="center" valign="top">0.016<sup><xref rid="tfn5-etm-0-0-3438" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">LDL-C (mmol/l)</td>
<td align="center" valign="top">2.49&#x00B1;0.95</td>
<td align="center" valign="top">2.80&#x00B1;0.91</td>
<td align="center" valign="top">0.028<sup><xref rid="tfn5-etm-0-0-3438" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">HDL-C (mmol/l)</td>
<td align="center" valign="top">1.18&#x00B1;0.67</td>
<td align="center" valign="top">1.14&#x00B1;0.49</td>
<td align="center" valign="top">0.107</td>
</tr>
<tr>
<td align="left" valign="top">Urinary protein (g/24 h)</td>
<td align="center" valign="top">3&#x00B1;3.37</td>
<td align="center" valign="top">2.35&#x00B1;4.43</td>
<td align="center" valign="top">0.64</td>
</tr>
<tr>
<td align="left" valign="top">Calcium (mmol/l)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2.16&#x00B1;0.23</td>
<td align="center" valign="top">1.98&#x00B1;1.58</td>
<td align="center" valign="top">0.024<sup><xref rid="tfn5-etm-0-0-3438" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Phosphorus (mmol/l)</td>
<td align="center" valign="top">1.48&#x00B1;0.42</td>
<td align="center" valign="top">1.88&#x00B1;0.62</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">PTH (pg/ml)</td>
<td align="center" valign="top">435.99&#x00B1;380.84</td>
<td align="center" valign="top">49.86&#x00B1;22.83</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn4-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-etm-0-0-3438"><p>SHPT, secondary hyperparathyroidism; CO<sub>2</sub>CP, carbon dioxide combining power; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; PTH, parathyroid hormone.</p></fn>
<fn id="tfn3-etm-0-0-3438"><label>a</label><p>Expressed as the mean &#x00B1; standard deviation</p></fn>
<fn id="tfn4-etm-0-0-3438"><label>b</label><p>P&#x003C;0.01</p></fn>
<fn id="tfn5-etm-0-0-3438"><label>c</label><p>P&#x003C;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-etm-0-0-3438" position="float">
<label>Table III.</label>
<caption><p>Multivariate analysis of risk factors influencing secondary hyperparathyroidism in 498 patients with chronic kidney disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">95&#x0025; CI</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">Odds ratio</th>
<th align="center" valign="bottom">Lower</th>
<th align="center" valign="bottom">Upper</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td align="center" valign="top">1.561</td>
<td align="center" valign="top">0.836</td>
<td align="center" valign="top">2.916</td>
<td align="center" valign="top">0.162</td>
</tr>
<tr>
<td align="left" valign="top">Blood pressure</td>
<td align="center" valign="top">1.931</td>
<td align="center" valign="top">0.098</td>
<td align="center" valign="top">3.739</td>
<td align="center" valign="top">0.051</td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin</td>
<td align="center" valign="top">0.994</td>
<td align="center" valign="top">0.982</td>
<td align="center" valign="top">1.006</td>
<td align="center" valign="top">0.348</td>
</tr>
<tr>
<td align="left" valign="top">Serum creatinine</td>
<td align="center" valign="top">1.003</td>
<td align="center" valign="top">1.002</td>
<td align="center" valign="top">1.004</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn7-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Serum calcium</td>
<td align="center" valign="top">0.976</td>
<td align="center" valign="top">0.379</td>
<td align="center" valign="top">2.891</td>
<td align="center" valign="top">0.321</td>
</tr>
<tr>
<td align="left" valign="top">Serum phosphorus</td>
<td align="center" valign="top">2.190</td>
<td align="center" valign="top">1.254</td>
<td align="center" valign="top">3.826</td>
<td align="center" valign="top">0.006<sup><xref rid="tfn7-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">CO<sub>2</sub>CP</td>
<td align="center" valign="top">0.945</td>
<td align="center" valign="top">0.886</td>
<td align="center" valign="top">1.008</td>
<td align="center" valign="top">0.086</td>
</tr>
<tr>
<td align="left" valign="top">C-reactive protein</td>
<td align="center" valign="top">1.994</td>
<td align="center" valign="top">0.989</td>
<td align="center" valign="top">1.091</td>
<td align="center" valign="top">0.591</td>
</tr>
<tr>
<td align="left" valign="top">Triglyceride</td>
<td align="center" valign="top">0.926</td>
<td align="center" valign="top">0.689</td>
<td align="center" valign="top">1.244</td>
<td align="center" valign="top">0.608</td>
</tr>
<tr>
<td align="left" valign="top">Cholesterol</td>
<td align="center" valign="top">0.291</td>
<td align="center" valign="top">0.644</td>
<td align="center" valign="top">1.317</td>
<td align="center" valign="top">0.651</td>
</tr>
<tr>
<td align="left" valign="top">LDL-C</td>
<td align="center" valign="top">0.918</td>
<td align="center" valign="top">0.620</td>
<td align="center" valign="top">1.545</td>
<td align="center" valign="top">0.925</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn6-etm-0-0-3438"><p>CI, confidence interval; CO<sub>2</sub>CP, carbon dioxide combining power; LDL-C, low-density lipoprotein cholesterol</p></fn>
<fn id="tfn7-etm-0-0-3438"><label>a</label><p>P&#x003C;0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-etm-0-0-3438" position="float">
<label>Table IV.</label>
<caption><p>Correlation analysis of parathyroid hormone with biochemical markers in 498 patients with chronic kidney disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">R-value</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Serum creatinine</td>
<td align="center" valign="top">0.161</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Phosphorus</td>
<td align="center" valign="top">0.632</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">C reactive protein</td>
<td align="center" valign="top">0.151</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Triglyceride</td>
<td align="center" valign="top">0.193</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Cholesterol</td>
<td align="center" valign="top">0.166</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">LDL-C</td>
<td align="center" valign="top">0.138</td>
<td align="center" valign="top">0.011<sup><xref rid="tfn10-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin</td>
<td align="center" valign="top">&#x2212;0.285</td>
<td align="center" valign="top">0.025<sup><xref rid="tfn10-etm-0-0-3438" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Calcium</td>
<td align="center" valign="top">&#x2212;0.825</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">CO<sub>2</sub>CP</td>
<td align="center" valign="top">&#x2212;0.232</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn9-etm-0-0-3438" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Serum albumin</td>
<td align="center" valign="top">&#x2212;0.029</td>
<td align="center" valign="top">0.515</td>
</tr>
<tr>
<td align="left" valign="top">HDL-C</td>
<td align="center" valign="top">&#x2212;0.014</td>
<td align="center" valign="top">0.749</td>
</tr>
<tr>
<td align="left" valign="top">24 h urinary protein</td>
<td align="center" valign="top">&#x2212;0.120</td>
<td align="center" valign="top">0.107</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn8-etm-0-0-3438"><p>LDL-C, low-density lipoprotein cholesterol; CO<sub>2</sub>CP, carbon dioxide combining power; HDL-C, high-density lipoprotein cholestrol.</p></fn>
<fn id="tfn9-etm-0-0-3438"><label>a</label><p>P&#x003C;0.01</p></fn>
<fn id="tfn10-etm-0-0-3438"><label>b</label><p>P&#x003C;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
