<?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">OJGas</journal-id><journal-title-group><journal-title>Open Journal of Gastroenterology</journal-title></journal-title-group><issn pub-type="epub">2163-9450</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojgas.2023.1310030</article-id><article-id pub-id-type="publisher-id">OJGas-128704</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>
 
 
  Factors Associated with Hepatic Steatosis in Black African Subjects with Chronic Viral Hepatitis B in C&#244;te d’Ivoire
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kouamé</surname><given-names>Hatrydt Guillaume Dimitri</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>Kissi</surname><given-names>Anzouan-Kacou Henriette Ya</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gogan</surname><given-names>Patricia</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bangoura</surname><given-names>Aboubacar Demba</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Doffou</surname><given-names>Stanislas Adjeka</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mahassadi</surname><given-names>Kouame Alassan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yao</surname><given-names>Bathaix Fulgence Mamert</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Attia</surname><given-names>Alain Koffi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Medical Sciences Training and Research Unit of Abidjan, Félix Houphou&amp;amp;euml;t-Boigny University, Abidjan, C&amp;amp;ocirc;te d’Ivoire</addr-line></aff><aff id="aff2"><addr-line>Hepatology and Gastroenterology Unit, Yopougon University Hospital, Abidjan, C&amp;amp;ocirc;te d’Ivoire</addr-line></aff><pub-date pub-type="epub"><day>25</day><month>10</month><year>2023</year></pub-date><volume>13</volume><issue>10</issue><fpage>328</fpage><lpage>337</lpage><history><date date-type="received"><day>2,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>28,</day>	<month>October</month>	<year>2023</year>	</date><date date-type="accepted"><day>31,</day>	<month>October</month>	<year>2023</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>
 
 
  Context/Objectives: With the progression of the global epidemic of obesity and metabolic syndrome, the coexistence of hepatic steatosis in patients with chronic viral hepatitis B (VHB) is becoming significant. The aim of this work was to determine the factors associated with hepatic steatosis assessed by a Fibroscan with Controlled Attenuation Parameter (CAP) in patients with chronic viral hepatitis B in C
  &amp;ocirc;te d’Ivoire. 
  Methods: This was a cross-sectional and analytical study. Data was collected from February 15 to July 31, 2020 in a private hospital structure in the city of Abidjan in C
  &amp;ocirc;te d’Ivoire. We included 83 patients with chronic viral hepatitis B. These were black patients, having performed a Fibroscan/CAP during the recruitment period and consenting to participate in the study. Patients with significant alcohol consumption, a secondary cause of hepatic steatosis, or other liver disease regardless of the etiology associated with hepatitis B were not included. 
  Results: The frequency of hepatic steatosis in chronic VHB carriers assessed by the CAP in our study population was 48.19% including 24.10% severe steatosis. Obesity and high LDL cholesterol were statistically correlated with the presence of steatosis in our patients. Patients who had steatosis on ultrasound were 5 times more likely to have steatosis on CAP. Significant fibrosis was not significantly associated with steatosis. 
  Conclusion: Obesity and LDL hypercholesterolemia are the main factors associated with hepatic steatosis detected by Fibroscan/CAP in patients with chronic viral hepatitis B.
 
</p></abstract><kwd-group><kwd>Non-Alcoholic Fatty Liver Disease</kwd><kwd> Chronic Viral Hepatitis B</kwd><kwd> Obesity</kwd><kwd> Metabolic Syndrome</kwd><kwd> Fibroscan/CAP</kwd><kwd> Africa</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Several studies have shown a strong correlation between obesity, metabolic syndrome and non-alcoholic fatty liver disease (NAFLD) [<xref ref-type="bibr" rid="scirp.128704-ref1">1</xref>] . NAFLD, with an overall prevalence of 25.24%, is the leading cause of chronic liver disease in the United States of America and Europe [<xref ref-type="bibr" rid="scirp.128704-ref2">2</xref>] . Viral hepatitis B is also a public health issue. Indeed, 350 million people in the world are chronic carriers and 780,000 deaths are recorded annually due to its consequences, cirrhosis and hepatocellular carcinoma (HCC) [<xref ref-type="bibr" rid="scirp.128704-ref3">3</xref>] .</p><p>These two liver pathologies can coexist in the same patient. The estimated frequency of fatty liver disease in patients with chronic viral hepatitis B worldwide varies between 27% and 51% depending on the study [<xref ref-type="bibr" rid="scirp.128704-ref4">4</xref>] . These two cofactors of chronic liver disease could therefore influence each other and even induce an acceleration of the progression of liver disease, in particular liver fibrosis. Indeed, several authors have indicated interactions between the hepatitis B virus and steatosis [<xref ref-type="bibr" rid="scirp.128704-ref5">5</xref>] . C&#244;te d’Ivoire remains an area of high endemicity for viral hepatitis B with a prevalence of HBs antigen (HBsAg) estimated at 13% in the general population [<xref ref-type="bibr" rid="scirp.128704-ref6">6</xref>] . This suggests that the prevalence of the coexistence of these two pathologies could be significant in C&#244;te d’Ivoire.</p><p>Liver biopsy is the “gold standard” for the exploration of hepatic pathologies, but its morbidity and mortality and its cost limit its performance to specific indications [<xref ref-type="bibr" rid="scirp.128704-ref7">7</xref>] . On the other hand, Fibroscan, an examination based on the exploration of the liver by impulse elastometry, is non-invasive and has a good indication for both chronic viral hepatitis B and steatosis [<xref ref-type="bibr" rid="scirp.128704-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.128704-ref9">9</xref>] . Little work has been done on the coexistence of viral hepatitis B and fatty liver disease in sub-Saharan Africa; which motivated this study with the aim of determining the factors associated with hepatic steatosis diagnosed by Fibroscan/CAP in black African subjects from C&#244;te d’Ivoire, carriers of chronic viral hepatitis B.</p></sec><sec id="s2"><title>2. Methods</title><p>This was a cross-sectional, descriptive and analytical study whose data was collected over the period from February 15, 2020 to July 31, 2020 in a hospital structure in the city of Abidjan (Ivory Coast). We recruited patients who came to perform a Fibroscan/CAP examination during the study period.</p><p>Black subjects with chronic viral hepatitis B who performed a Fibroscan/CAP during the recruitment period and who agreed to participate in the study by oral consent were included. Patients with significant alcohol consumption (greater than 30% for women and 40% for men), a secondary cause of hepatic steatosis, another hepatopathy whatever the etiology associated with hepatitis B were rejected.</p><p>The Fibroscan/CAP was performed in patients who had fasted for at least 2 hours before the examination. The examination was considered successful when there were 10 valid measurements, the success rate greater than 60% and IQR/med less than 30%. The examination was performed with the Fibroscan 530 Compact F81142 from Echosens. Sampling was consecutive and exhaustive non-probability. The statistical tests used were in univariate analysis: the Chi<sup>2</sup> test. They were significant when p &lt; 0.05.</p><sec id="s2_1"><title>2.1. Parameters Studied</title><p>Sociodemographic and clinical parameters:</p><p>- age, gender, profession</p><p>- history: high blood pressure, diabetes, familial liver disease</p><p>- Alcohol consumption; regular exercise; the usual intake of traditional therapy</p><p>- weight (kg); height (cm); waist circumference (cm)</p><p>- body mass index BMI (kg/m<sup>2</sup>): defined by weight/height squared</p><p>18 - 24.5 = normal; 25 - 29.9 = overweight; 30 - 34.9 = obesity grade I; 35 - 39.9 = obesity grade II; ≥40 = grade III or morbid obesity</p><p>Biochemical and hematological parameters:</p><p>- Fasting venous blood sugar (g/l); hemoglobin level (g/dl); the mean corpuscular volume (Fl); platelet count: 10<sup>9</sup>/l; transaminases: ALAT (IU/l) and ASAT (IU/l); total and conjugated bilirubin level (mg/l); the level of HDL cholesterol (g/l), LDL cholesterol (g/l), triglycerides (g/l), total cholesterol (g/l), uric acid (g/l), lipidemia (g/l); serum albumin (g/l); the dosage of gamma glutamyl transpeptidases (IU/l) and alkaline phosphatases (IU/l).</p><p>Tests to assess hepatic steatosis:</p><p>- Fatty Liver Index (FLI): BMI, waist circumference, GGT, triglycerides (MDCalc application).</p><p>Steatosis present if FLI &gt; 60; Steatosis absent if FLI &lt; 30; Steatosis indeterminate value between 30 and 60.</p><p>- Liver ultrasound: steatosis if increased echogenicity of the liver parenchyma compared to that of the right renal cortex.</p></sec><sec id="s2_2"><title>2.2. Measurement of Liver Fibrosis</title><p>F0 - F1: fibrosis absents or not significant if elastometry &lt; 7.2 Kpa</p><p>≥F2 or significant fibrosis if elastometry ≥ 7.2 Kpa and &lt; 9.4 Kpa</p><p>≥F3 or severe fibrosis if elastometry ≥ 9.4 Kpa and &lt;12.2 Kpa</p><p>F4 or cirrhosis if elastometry ≥ 12.2 Kpa.</p><p>Measurement of steatosis by CAP with Fibroscan<sup>&#174;</sup>:</p><p>S0 or absence of steatosis if CAP &lt; 222 dB/m</p><p>S1or minimal steatosis if CAP ≥ 222 dB/m and &lt;247 dB/m</p><p>S2 or moderate steatosis if CAP ≥ 247 dB/m and &lt;274 dB/m</p><p>S3 or severe steatosis if CAP ≥ 274 dB/m.</p><p>Little work has been done on the coexistence of viral hepatitis B and fatty liver in sub-Saharan Africa; which motivated this study with the objectives of evaluating the frequency of hepatic steatosis by Fibroscan/CAP in black African subjects from C&#244;te d’Ivoire, carriers of chronic viral hepatitis B and to highlight the factors associated with this fatty liver.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Characteristics of the Study Population</title><p>We included 83 patients with chronic viral hepatitis B in our study. The average age of our patients was 43.14 &#177; 9.46 years, with extremes of 29 and 82 years. There was a clear male predominance in our study population; men represented 71.08% of the total number, i.e. a sex ratio of 2.46.</p></sec><sec id="s3_2"><title>3.2. Descriptive Study</title><p>Arterial hypertension was the predominant antecedent in our study population with a frequency of 15.66%. The body mass index was normal in 25% of our patients and 50% had a high waist circumference (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Transaminases were elevated in 43.24% and 44.59% of our patients for ALT and AST respectively; 36.61% had hypercholesterolemia, with 21.73% having normal HDL cholesterol levels. Triglycerides were elevated in 30% of patients; hyperglycemia was present in 4.41% of patients. Quantitative HBsAg was greater than 1000 IU/ml in more than 85% of patients and almost 50% had DNA greater than 2000 IU/ml. No patient had HBe Antigen (Ag) positive or HBe antibody negative (<xref ref-type="table" rid="table2">Table 2</xref>). Quantitative HBs Antigen (QHBsAg) greater than 1000 IU/ml and DNA less than 2000 IU/ml were not factors statistically associated with steatosis.</p><p>On Fibroscan/CAP, more than half of the patients had F1 fibrosis and less than 5% had F4 fibrosis. Half of the patients had S0 steatosis, i.e. a frequency of CAP steatosis of 51.81%. Grade 3 steatosis was present in 24.10% of patients (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Steatosis was present on ultrasound in 31.08% of cases and more than half of the patients had a normal-appearing liver on ultrasound; 1 patient had a fibrotic liver.</p><p>There was no statistically significant association between steatosis and the presence of fibrosis, nor between the stage of fibrosis and steatosis (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of patients according to anthropometric measurements</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Anthropometric measurements</th><th align="center" valign="middle" >Number (n = 83)</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Normal (18 - 24.5)</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >25.30</td></tr><tr><td align="center" valign="middle" >Overweight (25 - 29.9)</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >55.42</td></tr><tr><td align="center" valign="middle" >Obese (≥30)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >19.28</td></tr><tr><td align="center" valign="middle" >High waistline</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >50.60</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of patients according to virological parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Virology</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Quantitative HBsAg ≥ 1000</td><td align="center" valign="middle" >61 (n = 71)</td><td align="center" valign="middle" >85.91</td></tr><tr><td align="center" valign="middle" >VHB DNA ≥ 2000</td><td align="center" valign="middle" >33 (n = 71)</td><td align="center" valign="middle" >46.47</td></tr><tr><td align="center" valign="middle" >HBeAg Negative</td><td align="center" valign="middle" >67 (n = 67)</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >HBe antibody Positive</td><td align="center" valign="middle" >64 (n = 64)</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of patients according to the degree of steatosis and fibrosis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Degree of fibrosis</td><td align="center" valign="middle" >(n = 83)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >F1</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >71.08</td></tr><tr><td align="center" valign="middle" >F2</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >12.05</td></tr><tr><td align="center" valign="middle" >F3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >12.05</td></tr><tr><td align="center" valign="middle" >F4</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.82</td></tr><tr><td align="center" valign="middle" >Degree of steatosis</td><td align="center" valign="middle" >(n = 83)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >S0</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >51.81</td></tr><tr><td align="center" valign="middle" >S1</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >18.07</td></tr><tr><td align="center" valign="middle" >S2</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >6.02</td></tr><tr><td align="center" valign="middle" >S3</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >24.10</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Correlation between steatosis and fibrosis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Fibrosis</th><th align="center" valign="middle"  colspan="4"  >Steatosis</th></tr></thead><tr><td align="center" valign="middle" >Present n (%)</td><td align="center" valign="middle" >Absent n (%)</td><td align="center" valign="middle" >OR (IC &#224; 95%)</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle" >F1</td><td align="center" valign="middle" >25 (62.5)</td><td align="center" valign="middle" >34 (79.1)</td><td align="center" valign="middle" >/</td><td align="center" valign="middle" >/</td></tr><tr><td align="center" valign="middle" >F2</td><td align="center" valign="middle" >5 (12.5)</td><td align="center" valign="middle" >5 (11.6)</td><td align="center" valign="middle" >1.4 (0.4 - 5.2)</td><td align="center" valign="middle" >0.74</td></tr><tr><td align="center" valign="middle" >F3</td><td align="center" valign="middle" >7 (17.5)</td><td align="center" valign="middle" >3 (7.0)</td><td align="center" valign="middle" >3.2 (0.7 - 13.4)</td><td align="center" valign="middle" >0.17</td></tr><tr><td align="center" valign="middle" >F4</td><td align="center" valign="middle" >3 (7.5)</td><td align="center" valign="middle" >1 (2.3)</td><td align="center" valign="middle" >4.0 (0.4 - 41.6)</td><td align="center" valign="middle" >0.32</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >43 (100)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Obese patients were 5 times more likely to have steatosis than those with a normal BMI with a statistically significant difference. Overweight and waist circumference were not statistically associated with steatosis (<xref ref-type="table" rid="table5">Table 5</xref>).</p><p>Quantitative HBsAg greater than 1000 IU/ml and DNA less than 2000 IU/ml were not factors statistically associated with steatosis (<xref ref-type="table" rid="table6">Table 6</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Frequency of Hepatic Steatosis in the Study Population</title><p>The frequency of hepatic steatosis assessed by Fibroscan/CAP in our study was 48.19%. This frequency was very high given the risk of hepatic and extra-hepatic complications of this condition. Ben Slama et al. in Tunisia had found a prevalence of steatosis assessed by histology of 38.3%, in a population of patients with chronic viral hepatitis B [<xref ref-type="bibr" rid="scirp.128704-ref10">10</xref>] . This difference could be due to sampling fluctuations related to biopsy collection. Seto et al. in a population of chronic carriers of HBV, in whom steatosis was assessed by Fibroscan, found a prevalence of steatosis of 40.8% [<xref ref-type="bibr" rid="scirp.128704-ref11">11</xref>] . This difference would be related to the fact that in our study the thresholds defined to make the diagnosis of steatosis with CAP were lower than in those defined in the Seto study. Indeed, some authors had found the presence of steatosis in patients with chronic viral hepatitis B for lower CAP values than in the other study populations (NAFD alone, HCV) [<xref ref-type="bibr" rid="scirp.128704-ref12">12</xref>] . Asim et al. found a higher prevalence of steatosis assessed by CAP in their patients, i.e. 72.2% [<xref ref-type="bibr" rid="scirp.128704-ref13">13</xref>] . This difference with our study could be explained by the fact that in this study, nearly 70% of the patients had a BMI greater than 30 and the effect of obesity on the presence of hepatic steatosis is well known in the literature [<xref ref-type="bibr" rid="scirp.128704-ref1">1</xref>] .</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Correlation between steatosis and anthropometric constants</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Anthropometric measurements</th><th align="center" valign="middle"  colspan="4"  >Steatosis</th></tr></thead><tr><td align="center" valign="middle" >Present n (%)</td><td align="center" valign="middle" >Absent n (%)</td><td align="center" valign="middle" >OR (IC &#224; 95%)</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >6 (15.0)</td><td align="center" valign="middle" >15 (34.9)</td><td align="center" valign="middle" >/</td><td align="center" valign="middle" >/</td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >23 (57.5)</td><td align="center" valign="middle" >23 (53.5)</td><td align="center" valign="middle" >2.5 (0.8 - 10)</td><td align="center" valign="middle" >0.10</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >11 (27.5)</td><td align="center" valign="middle" >5 (11.6)</td><td align="center" valign="middle" >5 (1.25 - 10)</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >43 (100)</td><td align="center" valign="middle" >/</td><td align="center" valign="middle" >/</td></tr><tr><td align="center" valign="middle" >Waist size</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >24 (60.0)</td><td align="center" valign="middle" >20 (46.5)</td><td align="center" valign="middle" >1.7 (0.7 - 4.1)</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >16 (40.0)</td><td align="center" valign="middle" >23 (53.5)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >43 (100)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Correlation between steatosis and virology</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle"  colspan="4"  >Steatosis</th></tr></thead><tr><td align="center" valign="middle" >Present n (%)</td><td align="center" valign="middle" >Absent n (%)</td><td align="center" valign="middle" >OR (IC &#224; 95%)</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  colspan="3"  >QHBsAg</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >QHBsAg &gt;1000</td><td align="center" valign="middle" >31 (91.2)</td><td align="center" valign="middle" >30 (81.1)</td><td align="center" valign="middle" >2.4 (0.6 - 10.2)</td><td align="center" valign="middle" >0.31</td></tr><tr><td align="center" valign="middle" >QHBsAg &lt; 1000</td><td align="center" valign="middle" >3 (8.8)</td><td align="center" valign="middle" >7 (18.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >34 (100)</td><td align="center" valign="middle" >37 (100)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >DNA</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >DNA &lt; 2000</td><td align="center" valign="middle" >16 (48.5)</td><td align="center" valign="middle" >17 (44.7)</td><td align="center" valign="middle" >1.2 (0.5 - 2.9)</td><td align="center" valign="middle" >0.81</td></tr><tr><td align="center" valign="middle" >DNA ≥ 2000</td><td align="center" valign="middle" >17 (51.5)</td><td align="center" valign="middle" >21 (55.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33 (100)</td><td align="center" valign="middle" >38 (100)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Wang et al. in 2014 [<xref ref-type="bibr" rid="scirp.128704-ref14">14</xref>] found in patients assessed by biopsy, 36.6% of patients at stage S0, 36.36% at stage S1, 19.05% at stage S2 and 9.09% at stage S3. In our study, 51.81% of patients were at stage S0, 18.07% at stage S1, 6.02% at stage S2 and 24.10% at stage S3. Sasso et al. [<xref ref-type="bibr" rid="scirp.128704-ref15">15</xref>] stated that CAP values were significantly different from one grade of steatosis to another except for grades S2 and S3 for which the difference was not significant. Seto et al. in 2018 [<xref ref-type="bibr" rid="scirp.128704-ref11">11</xref>] , had found values close to ours in terms of grade S3 steatosis, i.e. 22.6% of their study population.</p><p>The prevalence of non-alcoholic fatty liver disease was as high as 46% depending on the diagnostic method, age, sex and ethnicity [<xref ref-type="bibr" rid="scirp.128704-ref16">16</xref>] . It was correlated with that of the metabolic syndrome and its components that increased the risk of severe liver disease. But steatosis could be present in 7% of people with normal weight [<xref ref-type="bibr" rid="scirp.128704-ref17">17</xref>] . This high proportion of patients with steatosis in our study raised questions about the best way to manage these patients in order to slow the progression of liver disease in view of these two cofactors.</p></sec><sec id="s4_2"><title>4.2. Factors Associated with Fatty Liver in the Study Population</title><p>In our study, obesity and the presence of steatosis on ultrasound were correlated with the presence of CAP steatosis. Host factors, in this case metabolic syndrome, have been shown to be related to the presence of fatty liver even in patients with chronic viral hepatitis B [<xref ref-type="bibr" rid="scirp.128704-ref18">18</xref>] . Sun et al. in China in 2019 found that high weight and high blood pressure were associated with the presence of steatosis [<xref ref-type="bibr" rid="scirp.128704-ref19">19</xref>] . Asim et al. found that weight, insulin resistance and high transaminase levels were related to higher grades of steatosis [<xref ref-type="bibr" rid="scirp.128704-ref13">13</xref>] . Altiparmak et al. found in their patients in whom steatosis had been diagnosed by pathological examination, that they had an average age, a BMI, higher cholesterol and triglyceride levels than patients without steatosis [<xref ref-type="bibr" rid="scirp.128704-ref20">20</xref>] . The prevalence of the metabolic syndrome in our study was 12% but this was not statistically linked to the presence of hepatic steatosis. Our study did not find a significant link between DNA levels, quantitative HBsAg and steatosis. In our study, there was no statistically significant association between steatosis and fibrosis. Seto et al. in 2017 found that severe steatosis was correlated with severe fibrosis in both patients on treatment and those without treatment for hepatitis B [<xref ref-type="bibr" rid="scirp.128704-ref11">11</xref>] . But high CAP was an independent factor significantly associated with severe fibrosis. Thus, increasing the CAP value by 10 dB represented a risk of severe fibrosis of 15%. In our study, nearly 5% of our patients had F4 fibrosis while 12% had severe fibrosis (F3). Seto et al. [<xref ref-type="bibr" rid="scirp.128704-ref11">11</xref>] had found a prevalence of F3 and F4 fibrosis of 27.1% and 11.2% respectively in their population under HBV treatment and lower rates of 4.4% and 2% respectively in their untreated patients. This could be explained by the fact that the presence of fibrosis greater than or equal to F2 was one of the major criteria for initiating HBV treatment.</p></sec><sec id="s4_3"><title>4.3. Limits and Strength of the Study</title><p>The limits of our study were essentially the small size of our sample linked to the cost of the Fibroscan/CAP examination and the difficulties of including patients who rarely visited hospital structures during this period due to the Coronavirus Covid-19 pandemic. The strength is due to the original character of our study.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>It appears from our study that the frequency of steatosis detected by Fibroscan/CAP in black African patients chronically carrying HBV in Ivory Coast was 48.19%. Non-alcoholic fatty liver disease therefore represents a public health issue which is beginning to become a reality in our countries in sub-Saharan Africa. Its coexistence with hepatitis B, which itself has a serious health impact, would promote the more rapid occurrence of complications such as liver cirrhosis or even hepatocellular carcinoma, hence the need to screen for it in any patient carrying the hepatitis B virus.</p></sec><sec id="s6"><title>Authors Contribution</title><p>Kouam&#233; Hatrydt Guillaume Dimitri wrote the article, made conception and design, data acquisition, Kissi Anzouan-Kacou Henriette Ya made data analysis and interpretation. Gogan Patricia and Bangoura Aboubacar Demba filled and analyzed the database. Mahassadi Kouam&#233; Alassane and Yao Bathaix Fulgence Mamert made the critical revision of the article. Attia Koffi Alain motivated the study.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Dimitri, K.H.G., Ya, K.A.-K.H., Patricia, G., Demba, B.A., Adjeka, D.S., Alassan, M.K., Mamert, Y.B.F. and Koffi, A.A. (2023) Factors Associated with Hepatic Steatosis in Black African Subjects with Chronic Viral Hepatitis B in C&#244;te d’Ivoire. Open Journal of Gastroenterology, 13, 328-337. https://doi.org/10.4236/ojgas.2023.1310030</p></sec></body><back><ref-list><title>References</title><ref id="scirp.128704-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Bernsmeier, C. and Heim, M. (2011) Stéatose hépatique non alcoolique et stéatohépatite non alcoolique. 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