<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">IJCM</journal-id><journal-title-group><journal-title>International Journal of Clinical Medicine</journal-title></journal-title-group><issn pub-type="epub">2158-284X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ijcm.2015.69089</article-id><article-id pub-id-type="publisher-id">IJCM-59673</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Obesity in Hemodialysis Patients
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>men</surname><given-names>Gorsane</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Madiha</surname><given-names>Mahfoudhi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mounira</surname><given-names>El Euch</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fathi</surname><given-names>Younsi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Taieb</surname><given-names>Ben Abdallah</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Internal Medicine A Department, Charles Nicolle Hospital, Tunis, Tunisia</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>madiha_mahfoudhi@yahoo.fr(MM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>02</day><month>09</month><year>2015</year></pub-date><volume>06</volume><issue>09</issue><fpage>667</fpage><lpage>671</lpage><history><date date-type="received"><day>19</day>	<month>May</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>14</month>	<year>September</year>	</date><date date-type="accepted"><day>17</day>	<month>September</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Obesity is a cardiovascular risk factor in the general population. However, obesity on hemodialysis is associated with better survival. The aim of this study is to determine the prevalence of obesity in our chronic hemodialysis population and to specify the different cardiovascular complications. It is a cross-sectional study with 120 patients older than 18 years on hemodialysis. Abdominal obesity was defined as waist circumference &gt; 94 cm in men and &gt; 80 cm in women. The following were analyzed: socioeconomic and demographic parameters, lifestyle, initial renal disease, duration of hemodialysis, food consumption and body mass index (BMI), biological parameters (C-reactive protein (CRP), albumin, lipid profiles, serum calcium, phosphorus, parathyroid hormone), comorbidities: Diabetes, hypertension, stroke, coronary artery disease. Twenty-four patients had a BMI&gt; 25. The prevalence of abdominal obesity was 20%. The sex Ratio was 0.71. The average age of our patients was 55.97 years [23 - 78 years]. Reduced physical activity was observed in 75% of patients. Duration in hemodialysis was 79 months. Hemoglobin (Hb) average was 8.9 g/dl, serum calcium was 2.25 mmol/l, serum phosphorus was 1.7 mmol/l, parathyroid hormone (PTH) was 412 pg/ml, albuminemia was 30.7 g/l, total cholesterol was 3.75 mmol/l and CRP was 15 U/l. Coronary artery disease was found in 20.8% of cases, stroke in 8.3% of cases, diabetes in 58.33% of cases and hypertension in 75% of cases. There was a high prevalence of abdominal obesity in hemodialysis patients. Obesity is recognized by its association with increased risk of cardiovascular disease and mortality. However in the paradoxical epidemiology, obesity becomes in chronic hemodialysis, a protective factor and is associated with better survival. Our study has a small population and cannot reach such a conclusion; further studies with larger numbers are needed to support this concept.
 
</p></abstract><kwd-group><kwd>Hemodialysis</kwd><kwd> Obesity</kwd><kwd> Metabolic Syndrome</kwd><kwd> Abdominal Fat</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>A significant number of patients who undergo dialysis are overweight or obese [<xref ref-type="bibr" rid="scirp.59673-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.59673-ref2">2</xref>] . The presence of excess weight, especially visceral obesity contributes to the increased risk of metabolic and cardiovascular complications in patients with chronic kidney disease (CKD). The relationship between weight and outcome is complex among dialysis patients. The extra weight is usually associated with improved survival in this patient group [<xref ref-type="bibr" rid="scirp.59673-ref3">3</xref>] .</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>It is a cross-sectional study in the Hemodialysis Unit of the Nephrology Department of Medicine A at the Charles Nicolle Hospital in Tunis in January 2015.</p><p>Inclusion criteria: Chronic hemodialysis patients older than 18 years with abdominal obesity defined as waist circumference &gt; 94 cm in men and &gt; 80 cm in women [<xref ref-type="bibr" rid="scirp.59673-ref4">4</xref>] .</p><p>Exclusion criteria: Patients on hemodialysis for less than 3 months and patients with acute infection, or active neoplasia.</p><p>Twenty-four patients were selected for this study. For each patient were analyzed: socioeconomic and demographic parameters, lifestyle, initial renal disease, duration of HD, food consumption and body mass index (BMI), biological parameters: C-reactive protein (CRP), albumin, lipid profiles, serum calcium, phosphorus, parathyroid hormone, comorbidities: Diabetes, hypertension (HT), stroke, coronary artery disease.</p></sec><sec id="s3"><title>3. Results</title><p>The prevalence of abdominal obesity was 20%. Twenty-four patients had a BMI &gt; 25. The mean waist circumference was 85 cm in women [80.5 - 95 cm] and 98 in men [94.8 - 102 cm]. The sex Ratio was 0.71. The average age of our patients was 55.97 years [23 - 78 years]. Reduced physical activity was observed in 75% of patients. The prevalence of smoking was 55%.</p><p>Duration in HD was 79 months. Seven patients had vascular nephropathy, 10 had diabetic nephropathy, 4 had chronic glomerular nephritis, 2 had chronic interstitial nephropathy and one patient had hereditary kidney disease (tuberous sclerosis of Bourneville). The average time between discovery of kidney failure and the onset of hemodialysis was 20 months.</p><p>Hemoglobin (Hb) average was 8.9 g/dl [7.9 - 9.8 g/dl], serum calcium was 2.25 mmol/l [2.08 - 2.55 mmol/l], serum phosphorus was 1.7 mmol/l [1.5 - 2.2 mmol/l]. Secondary hyperparathyroidism was found in 12 patients (50%) with a mean PTH of 412 pg/ml.</p><p>The mean albuminimia was 30.7 g/l [27 - 35 g/l] and the mean total cholesterol was 3.75 mmol/l [2.9 - 4 mmol/l].</p><p>The inflammatory condition was evaluated using CRP as a marker of inflammation. Sixteen patients (66.6%) had an inflammatory syndrome with a mean CRP of 15 U/l.</p><p>Cardiovascular complications noted included coronary artery disease in 20.8% of cases, stroke in 8.3% of cases, diabetes in 58.33% of cases and HT in 75% of cases.</p><p>Demographic, clinical and biological characteristics were summarized in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s4"><title>4. Discussion</title><p>In the general population, abdominal obesity is characterized by chronic low grade inflammation with increased serum inflammatory cytokine levels; it is considered to be a risk factor for atherosclerosis, cardiovascular disease, and increased mortality [<xref ref-type="bibr" rid="scirp.59673-ref5">5</xref>] .</p><p>In obese dialysis patients, the nutritional status may be better, and obesity provides, in the short term, some protection against malnutrition and the associated morbidity. However, some studies suggest that mortality in the long term is directly correlated with excess weight and obesity, which indicates that fat represents a risk factor also in uremia [<xref ref-type="bibr" rid="scirp.59673-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.59673-ref3">3</xref>] . Observational studies in CKD patients as well as dialysis patients, link abdominal fat with inflammation, insulin resistance, hyperadipokinemia, dyslipidemia, oxidative stress [<xref ref-type="bibr" rid="scirp.59673-ref6">6</xref>] -[<xref ref-type="bibr" rid="scirp.59673-ref9">9</xref>] and cardiovascular events and mortality [<xref ref-type="bibr" rid="scirp.59673-ref10">10</xref>] -[<xref ref-type="bibr" rid="scirp.59673-ref12">12</xref>] .</p><p>In patients requiring dialysis, disturbances in lipid and carbohydrate metabolism, which are common, have been associated with abdominal fat and may develop into metabolic syndrome (MetS) [<xref ref-type="bibr" rid="scirp.59673-ref13">13</xref>] . There are multiple</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic, clinical and biological characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >55.97</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" >55%</td></tr><tr><td align="center" valign="middle" >Duration in hemodialysis (months)</td><td align="center" valign="middle" >79</td></tr><tr><td align="center" valign="middle" >Time between kidney failure and onset of HD (months)</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >Hemoglobin (g/dl)</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >Calcium (mmol/l)</td><td align="center" valign="middle" >2.25</td></tr><tr><td align="center" valign="middle" >Phosphorus (mmol/l)</td><td align="center" valign="middle" >1.7</td></tr><tr><td align="center" valign="middle" >PTH (pg/ml)</td><td align="center" valign="middle" >412</td></tr><tr><td align="center" valign="middle" >Albumin (mmol/l)</td><td align="center" valign="middle" >30.7</td></tr><tr><td align="center" valign="middle" >Cholesterol (mmol/l)</td><td align="center" valign="middle" >3.75</td></tr><tr><td align="center" valign="middle" >CRP (UI/L)</td><td align="center" valign="middle" >15</td></tr></tbody></table></table-wrap><p>definitions of MetS, and the most current of MetS definitions is the National Cholesterol Education Program/ Adult Treatment Panel III [<xref ref-type="bibr" rid="scirp.59673-ref14">14</xref>] . It recognizes five components: hypertension, impaired fasting glucose, hypertriglyceridemia, abdominal obesity and low high-density lipoprotein cholesterol (HDL-C). The prevalence of MetS in chronic HD patients ranges from 40% - 60%; important relationship between MetS and the development of cardiovascular disease in chronic HD patients is found [<xref ref-type="bibr" rid="scirp.59673-ref15">15</xref>] .</p><p>Recent evidence suggests that abdominal obesity play a role in peripheral arterial disease in dialysis patients [<xref ref-type="bibr" rid="scirp.59673-ref2">2</xref>] . Carotid artery intima media thickness is associated with waist circumference in peritoneal dialysis patients [<xref ref-type="bibr" rid="scirp.59673-ref16">16</xref>] . These vascular involvements are associated with morbidity in dialysis patients [<xref ref-type="bibr" rid="scirp.59673-ref17">17</xref>] . In our study, coronary artery disease was found in 20.8% of cases, stroke in 8.3% of cases, diabetes in 58.33% of cases and HT in 75% of cases.</p><p>Moreover, obesity does not necessarily imply good nutritional status. In patients with chronic kidney disease, there is a loss of muscle mass despite an excess of adipose tissue, which is a condition known as sarcopenic obesity [<xref ref-type="bibr" rid="scirp.59673-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.59673-ref6">6</xref>] . Malnutrition associated with obesity, including sarcopenic obesity, is the risk factor most closely correlated with morbidity and mortality both in dialysis patients and the general population [<xref ref-type="bibr" rid="scirp.59673-ref3">3</xref>] .</p><p>BMI is inadequate as a measure of sarcopenic obesity since it cannot define neither muscle mass nor indicate the localization of the fat in the visceral compartment. Other indices must be developed and validated in well performed clinical trials to identify fat localization and the presence of sarcopenia [<xref ref-type="bibr" rid="scirp.59673-ref3">3</xref>] .</p><p>Observational studies indicate improved survival in obese patients undergoing HD. Thus, it is hypothesized that dialysis patients at high risk of Protein-energy wasting (PEW) are protected by excess weight [<xref ref-type="bibr" rid="scirp.59673-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.59673-ref19">19</xref>] . The recent observations that waist circumference modifies the mortality risk associated with circulating triglycerides [<xref ref-type="bibr" rid="scirp.59673-ref20">20</xref>] , leptin, and adiponectin [<xref ref-type="bibr" rid="scirp.59673-ref21">21</xref>] , underscores the overall effect that abdominal obesity has on PEW.</p><p>Insulin resistance represents a major target for intervention in PEW. Alterations in glucose metabolism in the face of hyperinsulinemia and diminished tissue sensitivity to insulin are partially correctable by HD [<xref ref-type="bibr" rid="scirp.59673-ref18">18</xref>] .</p><p>CKD patients have increased expression of proinflammatory cytokines and adipokines in abdominal subcutaneous tissue compared with healthy controls [<xref ref-type="bibr" rid="scirp.59673-ref22">22</xref>] -[<xref ref-type="bibr" rid="scirp.59673-ref24">24</xref>] . In our study, sixteen patients (66.6%) had an inflammatory syndrome. This high rate is explained mainly by oxidative stress. In addition, this inflammation is responsible for the low Hb levels (8.9 g/dl) in addition to the non-availability of recombinant erythropoietin in our hospital.</p><p>However, dialysis reverses uremia, residual metabolic derangements, inflammation, comorbid conditions, and the dialysis procedure itself may allow PEW to develop or worsen.</p><p>Leptin, and adiponectin, which were not dialyzable, were unfortunately not measured in our laboratory.</p></sec><sec id="s5"><title>5. Conclusion</title><p>A good nutritional state is found in some obese dialysis patients, which probably accounts for the improved survival of the obese group. The results of the present study showed that there was a high prevalence of abdominal obesity in hemodialysis patients but cannot reach such a conclusion. Therefore, further studies are needed to clarify the prognostic effect of abdominal obesity in dialysis patients.</p></sec><sec id="s6"><title>Conflict of Interests</title><p>The authors declare that there is no conflict of interests regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>ImenGorsane,MadihaMahfoudhi,MouniraEl Euch,FathiYounsi,Taieb BenAbdallah, (2015) Obesity in Hemodialysis Patients. International Journal of Clinical Medicine,06,667-671. doi: 10.4236/ijcm.2015.69089</p></sec><sec id="s8"><title>Abbreviations</title><p>Body mass index: BMI</p><p>C-reactive protein: CRP</p><p>Chronic kidney disease: CKD</p><p>Hemodialysis: HD</p><p>Hemoglobin: Hb</p><p>Hypertension: HT</p><p>Metabolic syndrome: MetS</p><p>Parathyroid hormone: PTH</p><p>Protein-energy wasting: PEW</p></sec><sec id="s9"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.59673-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Freitas, A.T., Vaz, I.M., Ferraz, S.F., Peixoto Mdo, R., Campos, M.I. and Fornés, N.S. (2013) Prevalence and Associated Factors with Abdominal Obesity in Hemodialysis Patients in Goiania—GO. 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