<?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">OJIM</journal-id><journal-title-group><journal-title>Open Journal of Internal Medicine</journal-title></journal-title-group><issn pub-type="epub">2162-5972</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojim.2023.134027</article-id><article-id pub-id-type="publisher-id">OJIM-128843</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>
 
 
  Lower Limb Arteriopathy in Diabetics at the Oueme-Plateau Provincial Hospital in Porto-Novo: Frequency and Associated Factors
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Finangnon</surname><given-names>Armand Wanvoegbe</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>Comlan</surname><given-names>Jules Gninkoun</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>Corine</surname><given-names>Houehanou</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kouessi</surname><given-names>Anthelme Agbodande</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>Fran&amp;ccedil;ois</surname><given-names>Akotegnon</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>Hubert</surname><given-names>Dedjan</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>Rolande</surname><given-names>Quenum</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>Manchouhoud</surname><given-names>Alalade</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>Adebayo</surname><given-names>Alassani</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Albert</surname><given-names>Dovonou</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Angele</surname><given-names>Azon-Kouanou</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Epidemiology, Biostatistics, Health, Environmental and Fundamental Sciences, National Training School for Senior Technicians in Public Health and Epidemiological Surveillance, Parakou, Benin</addr-line></aff><aff id="aff2"><addr-line>Internal Medicine Department, Hubert Koutoukou Maga National Teaching Hospital, Cotonou, Benin</addr-line></aff><aff id="aff4"><addr-line>Internal Medicine Department, Borgou-Alibori Provincial Teaching Hospital, Parakou, Benin</addr-line></aff><aff id="aff1"><addr-line>Internal Medicine/Endocrinology Department, Oueme-Plateau Provincial Teaching Hospital, Porto-Novo, Benin</addr-line></aff><pub-date pub-type="epub"><day>31</day><month>10</month><year>2023</year></pub-date><volume>13</volume><issue>04</issue><fpage>295</fpage><lpage>303</lpage><history><date date-type="received"><day>12,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>30,</day>	<month>October</month>	<year>2023</year>	</date><date date-type="accepted"><day>2,</day>	<month>November</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>
 
 
  <u>Introduction:</u> The distribution of arteriopathy of the lower limbs (ALL) is not familiar in the city of Porto-Novo. The aim of this study was to determine the prevalence and associated factors of ALL in diabetic patients in treatment at the Oueme-Plateau Provincial Teaching Hospital. 
  <u>Methods:</u> This was a cross-sectional, descriptive, and analytical study from July 12 to October 10, 2021, at the Oueme-Plateau Provincial Teaching Hospital in Porto-Novo. ALL was screened by performing systolic pressure index (SPI) in all diabetic patients aged at least 18 years, seen in consultation or hospitalization during the study period and who had given their consent. 
  <u>Results:</u> The study registered 165 diabetics and 98.2% of them were type 2. Subjects aged between 55 and 65 years were the most represented (33.9%), with an average age of 59.4 years. Women were in the majority (61.2%), with a sex ratio of 0.6. High blood pressure was associated with diabetes in 61.2% of patients. The prevalence of ALL was 48.5% (80 patients). Obliterative arteriopathy of the lower limbs (OALL) was observed in 70 patients (42.4%), mediacalcosis in 8 patients (4.8%), and mixed arteriopathy in 2 patients (1.2%). In 88.5% of patients, the pathology was symptomless. Factors significantly associated with ALL included advanced age (p = 0.01), the age of the glycemic imbalance (p = 0.03), lack of regular physical activity (p = 0.001) and dyslipidemia (p = 0.008). 
  <u>Conclusion:</u> Pelvic limb arteriopathy is usual among diabetics at Oueme-Plateau Provincial Teaching Hospital. The use of SPI, which enables diagnosis, requires simple, low-cost means, and should be encouraged.
 
</p></abstract><kwd-group><kwd>ALL</kwd><kwd> Diabetes</kwd><kwd> OALL</kwd><kwd> Porto-Novo</kwd><kwd> Systolic Pressure Index</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Worldwide, in 2021, nearly 537 million people aged 20 to 79 will be living with diabetes. This number will increase to 643 million in 2030 and 783 million in 2045 if nothing is done [<xref ref-type="bibr" rid="scirp.128843-ref1">1</xref>] . In Africa, this number was 23.6 million in 2021 and will rise to 54.9 million in 2045 if no action is taken again [<xref ref-type="bibr" rid="scirp.128843-ref1">1</xref>] . In Benin, the prevalence of diabetes was 1.1% in 2001 [<xref ref-type="bibr" rid="scirp.128843-ref2">2</xref>] and 2.6% in 2008 [<xref ref-type="bibr" rid="scirp.128843-ref3">3</xref>] . Diabetes is accountable for both macrovascular and microvascular degenerative complications. Arteriopathies of the lower limbs (ALL) represent macrovascular complications. They are dominated by obliterative arteriopathy of the lower limbs, the ever-increasing prevalence of which varies according to the diagnostic method used and the target population [<xref ref-type="bibr" rid="scirp.128843-ref4">4</xref>] . It is estimated that over 200 million people in the world are affected by ALL [<xref ref-type="bibr" rid="scirp.128843-ref4">4</xref>] . In Benin, a study carried out in 2003 in Cotonou in a population of diabetics monitored using the systolic pressure index as a diagnostic method, revealed a prevalence of 33.3% for arteriopathy obliterating the lower limbs (OALL) [<xref ref-type="bibr" rid="scirp.128843-ref5">5</xref>] . Another study carried out in 2013 in Parakou in a population of diabetics not under surveillance found a prevalence of 41.9% for OALL [<xref ref-type="bibr" rid="scirp.128843-ref6">6</xref>] . During a hospital study conducted in 2015 in Benin, the overall prevalence of diabetic feet was 21.5%, and arteriopathy was found in 70.4% of cases [<xref ref-type="bibr" rid="scirp.128843-ref7">7</xref>] . But no data or body of knowledge on this subject is available in Porto-Novo, even though Porto-Novo is a city in southern Benin with a high prevalence of diabetes (6.7% in 2017) [<xref ref-type="bibr" rid="scirp.128843-ref8">8</xref>] . The main goal of the current study was to determine the prevalence and factors associated with ALL in diabetic patients at the Oueme-Plateau Provincial Teaching Hospital.</p></sec><sec id="s2"><title>2. Methods</title><p>This was a cross-sectional, descriptive, and analytical study from July 12 to October 10, 2021, at the Oueme-Plateau Provincial Teaching Hospital in Porto-Novo. ALL was detected by performing the systolic pressure index (SPI) in all diabetic patients at least 18 years old, seen in consultation or hospitalization during the study period and who had given their consent.</p><p>● Inclusion criteria: diabetic patients aged at least 18 years and seen in consultation or hospitalization.</p><p>● Non-inclusion criteria:</p><p>○ All patients who did not give consent.</p><p>○ Patients with amputations or lower-limb lesions making it impossible to perform the SPI.</p><p>We used non-random sampling. All patients seen in consultation or hospitalized during the study period and who were eligible were included in the study. The dependent variable was the presence of ALL. It is a binary qualitative variable coded as follows: 1 = Yes and 2 = No. The independent variables were sociodemographic factors, history, behavioral risk factors, and metabolic risk factors. A structured individual interview was conducted with each patient to gather socio-demographic and behavioral information. It was followed by the measurement of anthropometric parameters (weight, height, blood pressure) for those who did not have them in their records. A survey form was completed for each patient, followed by the performance of SPI for all patients. OALL is defined by an SPI ≤ 0.90 and mediacalcosis by an SPI &gt; 1.30. SPI is said to be normal when it is between 0.91 and 1.30 [<xref ref-type="bibr" rid="scirp.128843-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.128843-ref10">10</xref>] . The lowest index in both lower limbs is the one considered to define OALL [<xref ref-type="bibr" rid="scirp.128843-ref11">11</xref>] . Data were entered in Excel. Categorical variables were expressed as percentages. Continuous variables were expressed as mean and standard deviation. Univariate analysis by simple logistic regression identified factors associated with ALL at a significant threshold of 0.05. The multivariate analysis strategy consisted of including in the model all variables with a p-value of less than 0.20. The manual top-down procedure was used to obtain the final model, which enabled us to obtain the associated factors. Statistical analysis was performed in the SAS studio. Confidentiality was paramount, and patients’ first and last names did not appear on the datasheet. Authorizations were obtained.</p></sec><sec id="s3"><title>3. Results</title><p>A total of 173 patients were seen in consultation and hospitalization. Among them, 165 met the criteria and constituted our sample, i.e., an inclusion rate of 95.4%.</p><sec id="s3_1"><title>3.1. Socio-Demographic Characteristics</title><sec id="s3_1_1"><title>3.1.1. Age</title><p>Subjects aged between 55 and 65 were the most represented, accounting for 33.9% (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s3_1_2"><title>3.1.2. Gender</title><p>In our study, women predominated (101 out of 165 patients), i.e., 61.2%. The sex ratio was therefore 0.63.</p></sec></sec><sec id="s3_2"><title>3.2. Clinical Characteristics</title><sec id="s3_2_1"><title>3.2.1. Type, Duration, and Control of Diabetes</title><p>Type 2 diabetics were the most represented in our study (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>The mean age of diabetes was 7.80 years, with a standard deviation of 7.48 years.</p><p>Diabetes was balanced in 34.1% of patients (HbA1C &lt; 7%).</p></sec><sec id="s3_2_2"><title>3.2.2. Distribution of Patients According to Other Cardiovascular Risk Factors</title><p>61.2% of our patients had high blood pressure; 50 patients (30.3%) had dyslipidemia. Only 4 of our patients were smokers and 15 Consumed alcohols, i.e., 2.4% and 9.1% respectively (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec></sec><sec id="s3_3"><title>3.3. Prevalence of Peripheral Arterial Disease in Diabetic Patients at Oueme-Plateau Provincial Teaching Hospital</title><p>Lower limb arteriopathy (ALL) was found in 80 patients, representing a hospital prevalence of 48.5% (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>OALL is the most common arterial disease, with a hospital prevalence of 42.4%. Mediacalcosis accounted for 4.9% of arteriopathies (<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 by type of diabetes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Type 1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Type 2</td><td align="center" valign="middle" >162</td><td align="center" valign="middle" >98.2</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.6</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 other risk factors</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Hypertension (n = 165)</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >61.2</td></tr><tr><td align="center" valign="middle" >Dyslipidemia (n = 165)</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >30.3</td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >9.1</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >149</td><td align="center" valign="middle" >90.3</td></tr><tr><td align="center" valign="middle" >Stopped</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.4</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >160</td><td align="center" valign="middle" >97</td></tr><tr><td align="center" valign="middle" >Stopped</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.6</td></tr></tbody></table></table-wrap>Distribution of Patients by Severity of ALL<p>Mild arteriopathy is most common in over 2/3 of patients, with a prevalence ranging from 79% to 86%. Arteriopathy is severe in 4 to 5% of cases, and bilateral in 47.5% (<xref ref-type="table" rid="table5">Table 5</xref>).</p><p>Only 19 of 165 patients (11.5%) had lower-limb claudication on walking.</p><p>Pain in the lower limbs at rest was found in 4.8% and trophic disorders in 2.4% of patients.</p></sec><sec id="s3_4"><title>3.4. Factors Associated with ALL in Diabetic Patients at Oueme-Plateau Provincial Teaching Hospital</title><p>We sought the association between arteriopathy of the lower limbs and certain sociodemographic, clinical and paraclinical factors. The factors significantly associated with ALL were advanced age (p = 0.01), glycemic imbalance (p = 0.03), lack of regular physical activity (p = 0.001) and dyslipidemia (p = 0.008) (<xref ref-type="table" rid="table6">Table 6</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of patients according to the presence or absence of ALL</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >48.5</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >51.5</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of patients by type of ALL</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >OALL (n = 165)</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >42.4</td></tr><tr><td align="center" valign="middle" >Mediacalcosis (n = 165)</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >4.9</td></tr><tr><td align="center" valign="middle" >Mixed (n = 165)</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Classification and severity of arteriopathy by artery</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >Posterior right tibial artery</th><th align="center" valign="middle"  colspan="2"  >Left posterior tibial artery</th><th align="center" valign="middle"  colspan="2"  >Right pedal artery</th><th align="center" valign="middle"  colspan="2"  >Left pedal artery</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >OALL (≤0.90)</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >29.7</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >30.3</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >24.8</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >23.6</td></tr><tr><td align="center" valign="middle" >Severe (≤0.40)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6.1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4.9</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >5.1</td></tr><tr><td align="center" valign="middle" >Moderate (0.41 - 0.70)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >14.6</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >10.3</td></tr><tr><td align="center" valign="middle" >Mild (0.71 - 0.90)</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >79.6</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >80.5</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >84.6</td></tr><tr><td align="center" valign="middle" >Normal artery (0.91 - 1.30)</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >66.1</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >66.7</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >70.9</td><td align="center" valign="middle" >123</td><td align="center" valign="middle" >74.5</td></tr><tr><td align="center" valign="middle" >Mediacalcosis (&gt;1.30)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.8</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Relationship between certain factors and arteriopathy in diabetics at Oueme-Plateau Provincial Teaching Hospital</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >ALL (%)</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  rowspan="2"  >CI 95% [OR]</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Age</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;60 years</td><td align="center" valign="middle" >28 (37.8)</td><td align="center" valign="middle" >46 (62.2)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥60 years</td><td align="center" valign="middle" >52 (57.1)</td><td align="center" valign="middle" >39 (42.9)</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >1.2 - 4.1</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Gender</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >28 (43.8)</td><td align="center" valign="middle" >36 (56.2)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >52 (51.5)</td><td align="center" valign="middle" >49 (48.5)</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >0.4 - 1.3</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >Obesity</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >59 (46.5)</td><td align="center" valign="middle" >68 (53.5)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21 (55.3)</td><td align="center" valign="middle" >17 (44.7)</td><td align="center" valign="middle" >1.42</td><td align="center" valign="middle" >0.7 - 2.9</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >Age of diabetes</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;10 years</td><td align="center" valign="middle" >51 (44.3)</td><td align="center" valign="middle" >64 (55)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥10 years</td><td align="center" valign="middle" >29 (58)</td><td align="center" valign="middle" >21 (42)</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >0.9 - 3.4</td><td align="center" valign="middle" >0.1</td></tr><tr><td align="center" valign="middle" >HbA1c</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;7%</td><td align="center" valign="middle" >11 (36.7)</td><td align="center" valign="middle" >19 (63.3)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥7%</td><td align="center" valign="middle" >35 (60.3)</td><td align="center" valign="middle" >23 (39.7)</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >1.1 - 6.5</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >HTA</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >27 (42.2)</td><td align="center" valign="middle" >37 (57.8)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >53 (52.5)</td><td align="center" valign="middle" >48 (47.5)</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >0.8 - 2.8</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Regular physical activity</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" >Yes</td><td align="center" valign="middle" >14 (17.5)</td><td align="center" valign="middle" >02 (2.3)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >66 (82.5)</td><td align="center" valign="middle" >83 (97.7)</td><td align="center" valign="middle" >8.8</td><td align="center" valign="middle" >1.9 - 40.1</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Dyslipidemia</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >16 (32)</td><td align="center" valign="middle" >34 (68)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >29 (58)</td><td align="center" valign="middle" >21 (42)</td><td align="center" valign="middle" >2.9</td><td align="center" valign="middle" >1.3 - 6.6</td><td align="center" valign="middle" >0.008</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><p>The occurrence of ALL was 48.5%. OALL was found in 42.4% of cases, Mediacalcosis in 4.9% and mixed arteriopathy in 1.2%. Our prevalence of OALL is similar to that of Codjo H et al. [<xref ref-type="bibr" rid="scirp.128843-ref6">6</xref>] at CHUD Borgou in 2013 (41.9%). Alassani et al. [<xref ref-type="bibr" rid="scirp.128843-ref12">12</xref>] found a higher prevalence than ours (80.8%). This difference can be explained by the fact that their research was carried out on patients with a diabetic foot. Desormais et al. [<xref ref-type="bibr" rid="scirp.128843-ref13">13</xref>] found that the prevalence of ALL changes with age, which is coherent with the results of our current work. Older age (≥60 years) was associated with arteriopathy in our study (p = 0.01). Patients in this age group have 2.2 times (OR) the risk of developing the disease than others. The most represented age group was that of patients between 55 and 65 years of age, accounting for 33.9%. This result is like that of Alassani [<xref ref-type="bibr" rid="scirp.128843-ref12">12</xref>] and Azebaze [<xref ref-type="bibr" rid="scirp.128843-ref14">14</xref>] , who found an age range of 50 to 62, 50 to 60 and 50 to 69 respectively. On the other hand, our result differs from those of Bougrini [<xref ref-type="bibr" rid="scirp.128843-ref15">15</xref>] and Hanan [<xref ref-type="bibr" rid="scirp.128843-ref16">16</xref>] , who found the age ranges from 65 to 74 and 70 to 80, respectively. We noted a female predominance in our study. This result is in line with those of Desormais et al. [<xref ref-type="bibr" rid="scirp.128843-ref13">13</xref>] , who also found a female predominance. Alassani et al. [<xref ref-type="bibr" rid="scirp.128843-ref12">12</xref>] found a male predominance in their study. In our study, the prevalence of ALL was higher in female subjects, with no significant statistical relationship (p = 0.3). The prevalence of arteriopathy was higher in obese than in non-obese patients, but the difference was not statistically significant (p = 0.3). Most of our patients had a normal BMI. Our results concurred with those reported in another study in Cotonou, in 2016 [<xref ref-type="bibr" rid="scirp.128843-ref17">17</xref>] . Other authors such as Amidou et al. [<xref ref-type="bibr" rid="scirp.128843-ref18">18</xref>] had found a significant association. In the chronic complications stage of diabetes, most diabetics experience varying degrees of weight loss because of chronic hyperglycemia. This probably explains why most of our patients had a normal BMI, and why obesity was not associated with arteriopathy in our study. Patients diagnosed with diabetes mellitus at least 10 years ago have more arteriopathy than those diagnosed less than 10 years ago. But this difference was not statistically significant (p = 0.1). On the other hand, Codjo H et al. [<xref ref-type="bibr" rid="scirp.128843-ref6">6</xref>] found a statistically significant association between the length of diabetes and ALL. Our results could be the consequence of a low representation of subjects whose diabetes had been evolving for more than 10 years. Patients with glycemic imbalance (HbA1C ≥ 7%) had a higher prevalence of arteriopathy (60.3%), with a statistically significant association (p = 0.03). The risk of arterial disease is multiplied by 2.6 for patients with glycemic imbalance. This result also tallies with that of Selvin et al. [<xref ref-type="bibr" rid="scirp.128843-ref19">19</xref>] , who demonstrated that any 1% increase in HbA1c was associated with a 28% increase in the risk of HAI. But Alassani et al. [<xref ref-type="bibr" rid="scirp.128843-ref12">12</xref>] found no association. The literature shows that chronic hyperglycemia plays an important role in the development of atherosclerosis [<xref ref-type="bibr" rid="scirp.128843-ref20">20</xref>] . In our study, the prevalence of arteriopathy was higher in patients with dyslipidemia (58%) than in those without (32%), with a statistically significant difference (p = 0.008). Codjo H et al. [<xref ref-type="bibr" rid="scirp.128843-ref6">6</xref>] and Alassani et al. [<xref ref-type="bibr" rid="scirp.128843-ref12">12</xref>] found no association between dyslipidemia and arteriopathy. Our result seems logical to us, since the first stage of atherogenesis is a high level of Low-density lipoprotein (LDL) formation in the blood due to hypercholesterolemia, and arthrogenesis is responsible for lipid plaque formation [<xref ref-type="bibr" rid="scirp.128843-ref21">21</xref>] . The prevalence of arteriopathy is higher in those who do not engage in regular physical activity (82.5%). This suggests that regular physical activity reduces the risk of arterial disease. There was a statistically significant link between lack of regular physical activity and the occurrence of ALL (p = 0.001). The risk of arterial disease is multiplied by 8.8 (OR) for those who do not engage in regular physical activity. Codjo H et al. [<xref ref-type="bibr" rid="scirp.128843-ref6">6</xref>] found that a sedentary lifestyle was significantly associated with arterial disease. Our results are in line with the literature, which suggests that regular physical activity significantly reduces the risk of arterial disease [<xref ref-type="bibr" rid="scirp.128843-ref1">1</xref>] .</p><p>The limited size of our sample during the study period is linked to the COVID-19 pandemic with a significant drop in attendance at health centers. In addition, the obligation of a vaccination health pass in health centers during our study period greatly affected the size of the sample.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Arteriopathy of the lower limbs is common among diabetics at Oueme-Plateau Provincial Teaching Hospital, with a hospital prevalence of 48.5%. They are asymptomatic in 87.3% of cases. This explains the need for systematic screening, without waiting for a clinical manifestation. Performing an SPI, which enables the diagnosis to be made, requires simple, inexpensive means, and should be encouraged. All diabetics should be screened at least once a year.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Wanvoegbe, F.A., Gninkoun, C.J., Houehanou, C., Agbodande, K.A., Akotegnon, F., Dedjan, H., Quenum, R., Alalade, M., Alassani, A., Dovonou, A. and Azon-Kouanou, A. (2023) Lower Limb Arteriopathy in Diabetics at the Oueme-Plateau Provincial Hospital in Porto-Novo: Frequency and Associated Factors. Open Journal of Internal Medicine, 13, 295-303. https://doi.org/10.4236/ojim.2023.134027</p></sec></body><back><ref-list><title>References</title><ref id="scirp.128843-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">IDF Diabetes Atlas 2021. 10th Edition. https://diabetesatlas.org/atlas/tenth-edition/</mixed-citation></ref><ref id="scirp.128843-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Djrolo, F., Amoussou-Guénou, K.D., Zannou, D.M., Houinato, D., Ahouandogbo, F. and Houngbe, F. (2003) Prevalence of Diabetes Mellitus in Benin. Louvain Médical, 122, S258-S262.</mixed-citation></ref><ref id="scirp.128843-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2008) Final Report of the STEPS Survey in Benin. National Health Projection Directorate. National Program for the Fight against Noncommunicable Diseases. https://extranet.who.int/ncdsmicrodata/index.php/catalog/723/download/5096</mixed-citation></ref><ref id="scirp.128843-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Fowkes, F.G., Rudan, D., Rudan, I., Aboyans, V., Denenberg, J.O., McDermott, M.M., et al. (2013) Comparison of Global Estimates of Prevalence and Risk Factors for Peripheral Artery Disease in 2000 and 2010: A Systematic Review and Analysis. The Lancet, 382, 1329-1340. https://doi.org/10.1016/S0140-6736(13)61249-0</mixed-citation></ref><ref id="scirp.128843-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Houenassi, M., Sacca Véhounkpe, J., Tchabi, Y., Amoussou-Guenou, D., Djrolo, F., Dossou-Yovo, R.A., et al. (2004) Epidemiology of Chronic Obstructive Arterial Disease of the Lower Limbs and Diabetic Patients at the University Hospital of Cotonou (Bénin). Archives des Maladies du Coeur et des Vaisseaux, 97, 1189-1194.</mixed-citation></ref><ref id="scirp.128843-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Codjo, H., Adoukonou, Wanvoegbe, H., Dohou, C., Bankolé, A., Alassani, C., et al. (2016) Prevalence of Obliterative Arteriopathy of the Lower Limbs and Associated Factors in Diabetic Patients Followed in Hospital in Parakou in 2013 (Benin). Annales de Cardiologie et D’Angéiologie, 65, 260-264. https://doi.org/10.1016/j.ancard.2016.04.026</mixed-citation></ref><ref id="scirp.128843-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Kerekou, A., Djrolo, F. and Amoussou-Guenou, D. (2015) Bacteriological Aspects of the Diabetic Foot in Cotonou. Journal de la Société de Biologie Clinique du Bénin, 22, 5-8.</mixed-citation></ref><ref id="scirp.128843-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Amoussou-Guenou, D., Wanvoegbe, A., Hermans, M., Agbodande, A., Boko, M., Amoussou-Guenou Fandi, A., et al. (2015) Prevalence and Risk Factors of Diabetes Mellitus in the Adult Population of Porto-Novo (Benin). Journal of Diabetes Mellitus, 5, 135-140. https://doi.org/10.4236/jdm.2015.53016</mixed-citation></ref><ref id="scirp.128843-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">French Federation of Cardiology (2020) Understanding OALL. Paris. https://www.fedecardio.org</mixed-citation></ref><ref id="scirp.128843-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Aboyans, V., Sevestre, M.-A., Désormais, I., Lacroix, P., Fowkes, G. and Criqui, M.H. (2018) Epidemiology of Lower Limb Arteriopathy. La Presse Médicale, 47, 38-46. https://doi.org/10.1016/j.lpm.2018.01.012</mixed-citation></ref><ref id="scirp.128843-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Merghit, R., Ait Athmane, M. and Lakehal, A. (2020) Contribution of Toe Systolic Pressure Index (TBI) and the Measurement of Effort ABI in the Screening of Pad in the Coronarian Patient. Phlébologie, 73, 44-50.</mixed-citation></ref><ref id="scirp.128843-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Alassani, A., Dovonou, C.A., Gninkoun, J., Wanvoegbe, A., Codjo, L., Sake, K., et al. (2019) Screening for Lower Limb Arteritis in Patients with Diabetic Foot Awaiting Surgery in Cotonou. Journal de la Société de Biologie Clinique du Bénin, 31, 29-32.</mixed-citation></ref><ref id="scirp.128843-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Desormais, I., Aboyans, V., Guerchet, M., Ndamba-Bandzouzi, B., Mbelesso, P., Marin, B., et al. (2015) Undernutrition, A New Risk Marker for Arteriosclerosis Obliterans of the Lower Limbs in an African Population: EPIDEMCA Study. Journal of Vascular Diseases, 40, 116-117.</mixed-citation></ref><ref id="scirp.128843-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Azebaze, A.P. (2004) Diabetic Arteriopathy of the Lower Limbs in the Internal Medicine Department of the Point G Hospital. Thesis, Faculty of Medicine, University of Bamako, Bamako.</mixed-citation></ref><ref id="scirp.128843-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Bougrini, H. (2013) Screening for Obliterating Arteriopathy of the Lower Limbs in Coronary Patients. Master’s Thesis, Faculty of Medicine and Pharmacy, University of Marrakech, Marrakech, 112.</mixed-citation></ref><ref id="scirp.128843-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Hanan, E.-O. (2012) Systolic Pressure Index in Screening for Lower Limb Arteriopathy in Diabetic Patients: Can It Replace Arterial Doppler Ultrasound in Routine Practice? Master’s Thesis, Faculty of Medicine and Pharmacy, University of Fes, Fes.</mixed-citation></ref><ref id="scirp.128843-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Wanvoegbe, F.A., Amoussou-Guenou, D., Agbodande, A.K., Saizonou, F., Codjo, L., Alassani, A., et al. (2016) Lower Limb Arteriopathy in Diabetics: Epidemiological and Clinical Profile. Le Journal Africain du Thorax et des Vaisseaux, 6, 477-480.</mixed-citation></ref><ref id="scirp.128843-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Amidou, S.A., Houehanou, Y.C., Houinato, S.D., Aboyans, V., Sonou, A., Saka, D., et al. (2017) Epidemiology of Lower Extremity Artery Disease in a Rural Setting in Benin, West-Africa: The TAHES Study. International Journal of Cardiology, 267, 198-201. https://doi.org/10.1016/j.ijcard.2018.05.099</mixed-citation></ref><ref id="scirp.128843-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Selvin, E., Marinopoulos, S., Berkenblit, G., Rami, T., Brancati, F.L., Powe, N.R., et al. (2004) Meta-Analysis Glycosylated Hemoglobin and Cardiovascular Disease in Diabetes Mellitus. Annals of Internal Medicine, 141, 421-431. https://doi.org/10.7326/0003-4819-141-6-200409210-00007</mixed-citation></ref><ref id="scirp.128843-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Ryden, L., Grant, P.J., Anker, S.D., Berne, C., Cosentino, F., Danchin, N., et al. (2013) ESC Guidelines on Diabetes, Pre-Diabetes, and Cardiovascular Diseases Developed in Collaboration with the EASD: The Task Force on Diabetes, Pre-Diabetes, and Cardiovascular Diseases of the European Society of Cardiology (ESC) and Developed in Collaboration with the European Association for the Study of Diabetes (EASD). European Heart Journal, 34, 3035-3087. https://doi.org/10.1093/eurheartj/eht108</mixed-citation></ref><ref id="scirp.128843-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Steinberg, D. (2005) Hypercholesterolemia and Inflammation in Atherogenesis: Two Sides of the Same Coin. Molecular Nutrition &amp; Food Research, 49, 995-998. https://doi.org/10.1002/mnfr.200500081</mixed-citation></ref></ref-list></back></article>