<?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.2023.131006</article-id><article-id pub-id-type="publisher-id">OJIM-123844</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>
 
 
  Etiological and Evolutionary Profile of Anemia in Patients Hospitalized in the Internal Medicine Unit of the Fousseyni Daou Hospital in Kayes
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sangaré</surname><given-names>Drissa</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>Cissé</surname><given-names>Sékou Mamadou</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>Guindo</surname><given-names>Youssouf</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>Abdoulaye</surname><given-names>Diawara</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>Diakité</surname><given-names>Niagalé</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Boly</surname><given-names>Berthé Bréhima</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Keita</surname><given-names>Kaly</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Issa</surname><given-names>Diallo</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>Traore</surname><given-names>Djenebou</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Soucko</surname><given-names>Kaya Assetou</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Cardiology Unit, Kayes Hospital, Kayes, Mali</addr-line></aff><aff id="aff4"><addr-line>Imaging Unit, Kayes Hospital, Kayes, Mali</addr-line></aff><aff id="aff8"><addr-line>Faculty of Medicine of Bamako, Bamako, Mali</addr-line></aff><aff id="aff5"><addr-line>Nephrology Unit, Kayes Hospital, Kayes, Mali</addr-line></aff><aff id="aff7"><addr-line>Point G Hospital Internal Medicine Department, Bamako, Mali</addr-line></aff><aff id="aff6"><addr-line>Army Health Service, Bamako, Mali</addr-line></aff><aff id="aff1"><addr-line>Internal Medicine Unit, Kayes Hospital, Kayes, Mali</addr-line></aff><aff id="aff2"><addr-line>National Center for Scientific and Technological Research (CNRST), Bamako, Mali</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>02</month><year>2023</year></pub-date><volume>13</volume><issue>01</issue><fpage>51</fpage><lpage>61</lpage><history><date date-type="received"><day>21,</day>	<month>January</month>	<year>2023</year></date><date date-type="rev-recd"><day>21,</day>	<month>March</month>	<year>2023</year>	</date><date date-type="accepted"><day>24,</day>	<month>March</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>
 
 
  Introduction: Anemia is one of the most common public health problems in the world and affects all ages. 
  Objective: To describe the etiological and evolutionary profile of anemia in patients hospitalized in the Internal Medicine Unit of the Fousseyni Daou Hospital in Kayes. 
  Methodology: It was a descriptive and cross-sectional study with retrospective data collection which took place from January 1 to December 31, 2020 at the Internal Medicine Unit of the Fousseyni Daou Hospital in Kayes. It covered all anemic patients hospitalized during the study period. 
  Results: We identified 91 cases of anemia out of 200 patients admitted to the Unit that is a hospital prevalence of 45.5%. The age group of 26 to 35 years was the most represented, that is to say 29 cases (31.87%) with an average age of 43.55 years &#177; 17.48 years, the female sex predominated, 51 cases (56.04%) with a sex ratio of 0.78. Housewives represented 41 cases (45.05%). The majority of patients resided in rural areas 48 cases (52.75%). The main manifestations were: asthenia 75 cases (78.02%), vertigo 68 cases (74.72%), dyspnea 62 cases (68.13%), headaches 59 cases (64.83%), palpitations 55 cases (60.44%), conjunctival pallor 53 cases (58.24%), tachycardia 43 cases (47.25%), systolic murmur 18 cases (19.78%) and IMO 11 cases (12.09%). The associated pathologies were: infected diabetic wounds 25.27%, followed by bacterial pleuro-pneumopathy 18.68%. Biologically, microcytic anemia was the most frequent 49 cases (53.84%), followed by normocytic anemia 35 cases (38.46%) and macrocytic anemia 7 cases (7.7%). Anemia was hypochromic, 53 cases (58.24%) were more encountered compared to normochromic anemia 38 cases (41.76%). The anemia was: severe in 43 cases (47.25%), moderate 29 cases (31.87%) and mild 19 cases (20.88%). Inflammatory anemia is the most common etiological diagnosis in 60% of cases, followed by vitamin B12 deficiency anemia observed in 21% of patients and then blood diseases in 7.33% of cases. The main causes of death were HIV (50%) and kidney failure (33.33%). 
  Conclusion: Anemia is a frequent symptom in internal medicine. It constitutes a real diagnostic challenge for the internist and this sometimes in an emergency context. The use of specialized examinations and labile blood products is essential in our hospital.
 
</p></abstract><kwd-group><kwd>Anemia</kwd><kwd> Etiology</kwd><kwd> Evolution</kwd><kwd> Internal Medicine</kwd><kwd> Fousseyni Daou Hospital</kwd><kwd> Kayes</kwd><kwd> Mali</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Anemia remains a major public health problem in the world, due to its magnitude and severity. It is expressed when the level of circulating hemoglobin in the blood is low. The limits set by the WHO are respectively 12 g/dl in women, 13 g/dl in men, 11 g/dl in pregnant women and 14 g/dl in children [<xref ref-type="bibr" rid="scirp.123844-ref1">1</xref>] .</p><p>It affects more than 1.64 billion people, or 24.8% of the world’s population. The highest prevalence is reported in low- and middle-income countries with an overall frequency above 40% [<xref ref-type="bibr" rid="scirp.123844-ref2">2</xref>] .</p><p>It is an indicator of undernutrition, poverty and present in parasitized people (helminthiasis: ascariasis, trichocephalosis) [<xref ref-type="bibr" rid="scirp.123844-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.123844-ref2">2</xref>] .</p><p>In Mali, data from the statistical directory (Local Health Information System) for 2019 report 51,070 cases of anemia, including 21,376 cases among people aged 15 to 65 and over in first-level health structures; with 707 cases of overall death including 269 deaths among those aged 15 to 65 and over. These data show the extent of anemia in our populations [<xref ref-type="bibr" rid="scirp.123844-ref3">3</xref>] .</p><p>The consequences of anemia are many and varied. It affects physical growth, cognitive development, reproduction and physical work capacity resulting in decreased human performance [<xref ref-type="bibr" rid="scirp.123844-ref2">2</xref>] .</p><p>We did not find any work relating to the epidemiological, clinical, biological aspects of anemia in the internal medicine unit of the Fousseyni Daou hospital in Kayes.</p><p>Thus, we carried out this work in order to describe these different aspects to contribute to the improvement of the management of anemia.</p></sec><sec id="s2"><title>2. Methodology</title><p>It was a descriptive and cross-sectional study with retrospective data collection which took place from January 1 to December 31, 2020 at the Internal Medicine Unit of the Fousseyni Daou Hospital in Kayes. Included were all consenting patients admitted to hospital during the period of our study and presenting with anemia. Hospitalized patients without anemia were excluded from the study.</p><p>The diagnosis of anemia was retained when the complete blood count shows a hemoglobin level &lt; 13 g/dl in men and 12 g/dl in women.</p><p>The finding of anemia requires the analysis of the following biological parameters:</p><p>The mean corpuscular volume (MCV) which makes it possible to separate:</p><p>- microcytic anemia (VGM &lt; 80 fl),</p><p>- macrocytic anemia (VGM &gt; 100 fl),</p><p>- normocytic anemia (80 fl &lt; VGM &lt; 100 fl).</p><p>The mean corpuscular Hb content (TCMH): (N: 27 - 32 pg) makes it possible to differentiate hypochromia (TCMH &lt; 27 pg) from normochromia (TCMH ≥ 32 pg).</p><p>The mean corpuscular hemoglobin concentration (MCHC) makes it possible to differentiate hypochromia (MCHC &lt; 32%) from normochromia (MCHC ≥ 32%). The CCMH is of less interest than the TCMH.</p><p>The rate of reticulocytes which affirms the character:</p><p>- Central with a rate of reticulocytes &lt; 120,000/mm<sup>3</sup>: non-regenerative anemias.</p><p>- Peripheral anemia with a reticulocyte count ≥ 120,000/mm<sup>3</sup>): regenerative anemias.</p><p>The reticulocyte count was requested in patients with normocytic or normochromic macrocytic anemia.</p><p>The myelogram was performed in patients with normocytic or non-regenerative macrocytic anemia after ruling out vitamin B12 or iron deficiency.</p><p>A iron balance based on the determination of ferritinemia was requested in patients with hypochromic microcytic anemia but also in certain patients with normocytic normochromic aregenerative.</p><p>Inflammatory workup has been indicated in patients with microcytic hypochromic anemia with normal or elevated ferritin levels and in some patients with aregenerative normochromic normocytic anemia.</p><p>A vitamin assay (Vit B12 and Vit B9 assay) was performed in patients with aregenerative macrocytic anemia. This assay made it possible to diagnose a vitamin deficiency as follows:</p><p>- Vitamin B12 deficiency: vitamin B12 level &lt; 200 ug/L.</p><p>- Folate deficiency: folate levels &lt; 5 ug/L).</p><p>A haemolysis assessment (malaria test, bilirubin, LDH and haptoglobin) was performed in patients with regenerative normochromic normocytic anemia and in patients with microcytic anemia with a normal ferritin level without inflammatory syndrome.</p><p>Coombs test: was performed in all patients with autoimmune hemolytic anemia.</p><p>The degree of anemia was assessed as follows:</p><p>- Severe anemia: hemoglobin level ≤ 6.99 g/dl,</p><p>- Moderate anemia: hemoglobin level between 7 and 9.99 g/dl,</p><p>- Mild anemia: hemoglobin level between 10 and 11.99 g/dl in women and 10 to 12.99 g/dl in men.</p><p>The data was collected on pre-established survey sheets, entered into Microsoft Word 2007 and Excel 2013 and analyzed using Epi Info 7.2.2.6 software.</p><p>Information collected from patient records was completely confidential and used for research purposes.</p></sec><sec id="s3"><title>3. Results</title><p>We had identified 91 cases of anemia out of 200 patients admitted to the Unit that is a hospital prevalence of 45.5%.</p><p>The age group from 26 to 35 years was the most represented in 29 cases (31.87%) (see <xref ref-type="fig" rid="fig1">Figure 1</xref>) with an average age of 43.55 years &#177; 17.48 years. The female sex was predominant, 51 cases (56.04%) with a sex ratio of 0.78 (see <xref ref-type="fig" rid="fig2">Figure 2</xref>). Housewives were the largest group with 41 cases (45.05%) (see <xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Most of our patients came from rural areas 52.75% against 47.25% from urban areas (see <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>The main manifestations were: asthenia 75 cases (78.02%), vertigo 68 cases (74.72%), dyspnea 62 cases (68.13%), headaches 59 cases (64.83%), conjunctival pallor 55 cases (60.44%) palpitations 53 cases (58.24%), tachycardia 43 cases (47.25%), systolic murmur 18 cases (19.78%). and OMI 11 cases (12.09%) (see <xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of patients by profession</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Profession</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Household</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >45.05</td></tr><tr><td align="center" valign="middle" >Farmer</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >24.18</td></tr><tr><td align="center" valign="middle" >Trader</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.89</td></tr><tr><td align="center" valign="middle" >Shepherd</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.69</td></tr><tr><td align="center" valign="middle" >Saleswoman</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.49</td></tr><tr><td align="center" valign="middle" >Worker</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >Official</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle" >Teacher</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.1</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >100</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 clinical signs</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Clinical signs</th><th align="center" valign="middle" >Number (n = 91)</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Asthenia</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >78.02</td></tr><tr><td align="center" valign="middle" >Fear of heights</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >74.72</td></tr><tr><td align="center" valign="middle" >Dyspnea on exertion</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >68.13</td></tr><tr><td align="center" valign="middle" >Headaches</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >64.83</td></tr><tr><td align="center" valign="middle" >Conjunctival pallor</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >60.44</td></tr><tr><td align="center" valign="middle" >Tachycardia</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >58.24</td></tr><tr><td align="center" valign="middle" >systolic murmur</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >47.25</td></tr><tr><td align="center" valign="middle" >Palpitations</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >47.25</td></tr><tr><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >43.96</td></tr><tr><td align="center" valign="middle" >Cough</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >19.78</td></tr><tr><td align="center" valign="middle" >Abdominal pain</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >21.98</td></tr><tr><td align="center" valign="middle" >Vomiting</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >19.78</td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >18.68</td></tr><tr><td align="center" valign="middle" >Peripheral neuropathies</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >18.68</td></tr><tr><td align="center" valign="middle" >Polyarthralgia</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >16.48</td></tr><tr><td align="center" valign="middle" >Lower limb edema</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >12.09</td></tr><tr><td align="center" valign="middle" >Oral candidiasis</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.59</td></tr><tr><td align="center" valign="middle" >Prurigo</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.59</td></tr><tr><td align="center" valign="middle" >Perleche</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.39</td></tr><tr><td align="center" valign="middle" >Jaundice</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.29</td></tr><tr><td align="center" valign="middle" >Hemorrhage</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.19</td></tr></tbody></table></table-wrap><p>The associated pathologies were: Diabetic wounds 25.27%, followed by bacterial pleuropneumonia 18.68% (Cf. <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Anemia was microcytic in 49 cases (53.84%), followed by normocytic anemia in 35 cases (38.46%) and macrocytic anemia in 7 cases (7.7%) (see <xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>Anemia was hypochromic 53 cases (58.24%) is more encountered compared to normochromic anemia 38 cases (41.76%) (see <xref ref-type="fig" rid="fig5">Figure 5</xref>).</p><p>Depending on the severity, the anemia was severe in 43 cases (47.25%), moderate in 29 cases (31.87%), and mild anemia in 19 cases (20.88%) (see <xref ref-type="fig" rid="fig6">Figure 6</xref>).</p><p>The main etiologies of anemia were infections in 67 cases (73.62%) followed by chronic renal failure in 7 cases (7.68%) (see <xref ref-type="table" rid="table4">Table 4</xref>).</p><p>The mean length of hospitalization was 11 days (see <xref ref-type="table" rid="table5">Table 5</xref>).</p><p>The outcome was favorable in 76 patients (83.5), the lethality linked to anemia was 6.6% (see <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 associated pathologies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Associated pathologies</th><th align="center" valign="middle" >Number (n = 91)</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Diabetic infected wounds</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >25.27</td></tr><tr><td align="center" valign="middle" >Bacterial pleuropneumonia</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >18.68</td></tr><tr><td align="center" valign="middle" >HIV</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >15.38</td></tr><tr><td align="center" valign="middle" >Chronic renal failure</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.68</td></tr><tr><td align="center" valign="middle" >Sepsis</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.58</td></tr><tr><td align="center" valign="middle" >Pulmonary tuberculosis</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.39</td></tr><tr><td align="center" valign="middle" >Heart failure</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.39</td></tr><tr><td align="center" valign="middle" >Autoimmune diseases</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.30</td></tr><tr><td align="center" valign="middle" >Malaria</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.30</td></tr><tr><td align="center" valign="middle" >stroke</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >Chronic liver disease</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >Hematological malignancies</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >Prostate cancer</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >Cervical cancer</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.10</td></tr><tr><td align="center" valign="middle" >Hyperthyroidism</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.10</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >91</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 according to etiology</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Etiologies</th><th align="center" valign="middle" >Number (n = 91)</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle"  rowspan="6"  >Infections N = 67 (73.62%)</td><td align="center" valign="middle" >Diabetic infected wounds</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >25.27</td></tr><tr><td align="center" valign="middle" >Bacterial pleuropneumonia</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >18.68</td></tr><tr><td align="center" valign="middle" >HIV</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >15.38</td></tr><tr><td align="center" valign="middle" >Sepsis</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.58</td></tr><tr><td align="center" valign="middle" >Pulmonary tuberculosis</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.39</td></tr><tr><td align="center" valign="middle" >Malaria</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.30</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Iron deficiency</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.40</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Chronic renal failure</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.68</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Vitamin B12 deficiency</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Neoplasias</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.39</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Autoimmune diseases</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.30</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Chronic liver disease</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Hematological malignancies</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Total</td><td align="center" valign="middle" >91</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> Distribution of patients according to length of hospitalization</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Duration of hospitalization</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >1 &#224; 5</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.69</td></tr><tr><td align="center" valign="middle" >6 &#224; 10</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >31.87</td></tr><tr><td align="center" valign="middle" >11 &#224; 15</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >37.36</td></tr><tr><td align="center" valign="middle" >16 &#224; 20</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >17.58</td></tr><tr><td align="center" valign="middle" >21 &#224; 25</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.29</td></tr><tr><td align="center" valign="middle" >26 &#224; 30</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >&gt;31</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Distribution of patients according to progression</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Evolution</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Favorable</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >83.5</td></tr><tr><td align="center" valign="middle" >Discharges against medical advice</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >Referred to Bamako</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >deceased</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.6</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>In our series, we found a hospital prevalence of 45.5%. Faye A [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] had found a prevalence of 32.5%, ZORE S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] in Bobo Dioulasso had identified 141 cases of anemia in hospitalized patients in 2 months in 2016, El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] had notified 82 patients with anemia in Morocco. Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] had listed 150 cases of anemia in 5 years relating to the etiological profile of anemia in an internal medicine department at the Moulay Ismail military hospital in Meknes. Ida Mariane Ngongang [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] in a study on the epidemiological, clinical and etiological aspects of iron deficiency anemia in the internal medicine department of CHU Point-G in Bamako reported a frequency of 63.2%. Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] and Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] had found a prevalence of 32.5% and 47.15% respectively.</p><p>The age group of 26 to 35 years was more represented 31.87%. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] had observed a high frequency in the age group of 26 - 35 years at 25%</p><p>The average age of our patients was 43.55 years &#177; 17.48. Faye A [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] had found the average age to be 46 years old. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] found an average age of 43.55 &#177; 17.48 years. For El Hioui [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] et al., the mean age of patients was 41 years &#177; 18.33. Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] reported an average age of 48.8 years.</p><p>The female sex was predominant, 51 cases (56.04%). Faye A [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] had found (87 men/150 women) that is a sex ratio of 0.72. El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] found a male predominance of 42 women and 40 men. For Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] the female predominance was noted in 62.37% with a sex ratio of 1.78. According to Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] and Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] the sex ratio was 0.720 and 0.96.</p><p>Housewives were the largest occupational group 41 cases (45.05%).</p><p>For Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] , housewives were the most numerous 52/141. El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] found that 86% patients were from lower socioeconomic strata.</p><p>Most of our patients came from rural areas 52.75% against 47.25% from urban areas. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] found 53.19% rural patients and 46.81% urban patients. El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] had found 61% and 39% respectively. According to Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] 28.1% of patients came from urban areas compared to 38.1% of rural patients.</p><p>Gastropathy was the most found antecedent 31.87%. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] had found that jaundice, hemorrhoids and ulcers were more common with respective rates of: 36%, 33% and 30%.</p><p>In our study, the associated pathologies were dominated by diabetic wounds 25.27%, followed by bacterial pleuropneumonia 18.68%. According to Faye A [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] pneumopathies with common or specific germs were the most frequent (16/32). Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] reported 27% renal failure, 18% hypertension and 10% diabetes. Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] found 66.9% diabetes, 32.3% hypertension.</p><p>The main functional signs of anemia were asthenia, which was almost constant, found in 78.02%, dizziness 74.72%, dyspnea 68.13%. Faye A [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] found 97%, 91% and 68% respectively. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] had found asthenia 107/141, vertigo 98/141, dyspnoea 96/141. For Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] asthenia was the first reason for consultation found in 41% of patients followed by pallor. Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] reported 97% asthenia, 91% dyspnea and 68% headache.</p><p>The physical signs were dominated by conjunctival pallor 60.44%, followed by tachycardia 58.24% and systolic murmur 47.25%. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] had found 109/141 conjunctival pallor, 99/141 tachycardia, 88/141 palpitation. Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] found 59.1% tachycardia and 35.8% pallor.</p><p>In our study, the associated pathologies were: Diabetic wounds 25.27%, followed by bacterial pleuropneumonia 18.68%. For Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] the infectious pathology was predominant with 46.1%.</p><p>The average hemoglobin level was 7.10 g/dl Faye A [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] had found an average hemoglobin level of 7.4 g/dl. For Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] the average hemoglobin level was 8 g/dl with extremes ranging from 3.4 to 11.4 g/dl.</p><p>Biologically, microcytic anemia was the most common form 58.24% followed by normocytic anemia 38.46% and macrocytic anemia 7.7%.</p><p>Faye A et al. [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] reported 59% normocytic anemia, 38% microcytic anemia and 3% macrocytic anemia. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] had found an identical distribution of normocytic and microcytic anemias of 46.10% and 7.8% macrocytic anemia. For El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] , microcytic anemia was more common (39%) followed by macrocytic anemia (37.8%). For Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] microcytic anemia was more represented in 56% of cases. Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] found 38% microcytic anemia and 36% normocytic anemia. According to Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] the anemia was normocytic 48.6% and macrocytic 26.1%.</p><p>According to our sources, hypochromic anemias were more numerous 58.24%. While normochromic anemia accounted for 41.76%.</p><p>Hypochromic microcytic anemias were more frequent 38.46% followed by normochromic normocytic anemias 20.88% and hypochromic normocytic anemias 17.58% then normochromic microcytic anemias 15.38%. El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] found 31.72% hypochromic microcytic anemias, 19.5% hypochromic macrocytic anemias and 18.3% hypochromic macrocytic anemias and 12.2% normochromic normocytic anemias.</p><p>Depending on the degree of severity, 47.25% of patients had a hemoglobin level less than or equal to 6.99 g/dl, 31.87% of cases had a hemoglobin level between 7 and 9.99 g/dl, and 20.88% of patients had a hemoglobin level between 10 and 12.99 g/dl. Faye A et al. [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] found 22% deep anemia, 34% severe anemia, 34% moderate anemia, 10% mild anemia Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] found 44.68% anemia severe 22.7% moderate anemia 32.62% mild anemia. El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] found 45% hemoglobin level below 6.5 g/dl, 33% hemoglobin level between 8 and 10 g/dl and 22% hemoglobin level between 6.5 and 8 g/dl. Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] found 20% severe anemia with a hemoglobin level of less than 6 g/dl. According to Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref8">8</xref>] the anemia was mild 75% and moderate 16%.</p><p>In our study, the main etiologies of anemia were infections (anemia of inflammatory origin) with a prevalence of 73.62% followed by chronic renal failure 7.68%. For Faye A et al. [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] the main etiologies were infections (21%), solid neoplasms (13%), hematological malignancies (13%). Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] had found that the infectious pathology was predominant (46.1%) followed by haemorrhages (31.21%). According to El Hioui et al. [<xref ref-type="bibr" rid="scirp.123844-ref6">6</xref>] , the causes were dominated by malnutrition, haemoglobinopathies and numerous infections associated with hygiene. In the study by Ali Zinebi et al. [<xref ref-type="bibr" rid="scirp.123844-ref7">7</xref>] , iron deficiency anemia was the dominant etiological diagnosis in 60% of cases, followed by megaloblastic anemia observed in 21% of patients and then hemolytic anemia in 7.33% of cases. According to Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref9">9</xref>] the anemias were of origin: infectious 40.46%, cardiovascular 24.12%, neoplastic 12.06%. For Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref10">10</xref>] the etiologies of anemia were: infections 21%, neoplasia 13%, blood diseases 13%, autoimmune diseases 12%.</p><p>The average length of hospital stay was 11 days. Faye A et al. [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] had found an average hospital stay of 15 days with extremes of 3 and 35 days. Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref9">9</xref>] found an average hospital stay of 11 days. According to Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref10">10</xref>] reported a hospital stay of 15 days with extremes of 3 and 65 days.</p><p>During our study, the evolution was favorable in 76 patients (83.5), the lethality linked to anemia was 6.6%. Zore S [<xref ref-type="bibr" rid="scirp.123844-ref5">5</xref>] found 56.16% normal evolution and 14.89% death. Faye A et al. [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] found 23% of patients died. Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref9">9</xref>] reported 79.7% favorable outcome and 20.3% lethality. For Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref10">10</xref>] the evolution was favorable in 43% of patients with a lethality of 35%.</p><p>The main causes of death were HIV (50%) and kidney failure (33.33%). For Faye A et al. [<xref ref-type="bibr" rid="scirp.123844-ref4">4</xref>] the main causes of death were solid cancers and hematological malignancies. For Penda B. [<xref ref-type="bibr" rid="scirp.123844-ref9">9</xref>] the causes of death were infections in 79.7% of cases. According to Momar C. [<xref ref-type="bibr" rid="scirp.123844-ref10">10</xref>] deaths were linked to neoplasia 31% and hematological malignancies 29%.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Anemia is a common symptom in internal medicine and is a real challenge for practitioners. The diversity of these etiologies requires a rigorous diagnostic approach. Efficient management necessarily involves a meticulous clinical examination, a hierarchy of complementary investigations and the availability of labile blood products in our hospital.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank all the staff of the hospital of Kayes, the CHU Point G, Point G hospital internal medicine department, National Center for Scientific and Technological Research (CNRST) and the Faculty of Medicine of Bamako Mali.</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>Drissa, S., Mamadou, C.S., Youssouf, G., Diawara, A., Niagal&#233;, D., Br&#233;hima, B.B., Kaly, K., Diallo, I., Djenebou, T. and Assetou, S.K. (2023) Etiological and Evolutionary Profile of Anemia in Patients Hospitalized in the Internal Medicine Unit of the Fousseyni Daou Hospital in Kayes. Open Journal of Internal Medicine, 13, 51-61. https://doi.org/10.4236/ojim.2023.131006</p></sec></body><back><ref-list><title>References</title><ref id="scirp.123844-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Beutler, E. and Waalen, J. (2006) The Definition of Anemia: What Is the Lower Limit of Normal of the Blood Hemoglobin Concentration? Blood, 107, 1747-1750. https://doi.org/10.1182/blood-2005-07-3046</mixed-citation></ref><ref id="scirp.123844-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">McLean, E., Cogswell, M., Egli, I., Wojdyla, D. and de Benoist, B. (2009) Worldwide Prevalence of Anemia, WHO Vitamin and Mineral Nutrition Information System, 1993-2005. Public Health Nutrition, 12, 444-454 https://doi.org/10.1017/S1368980008002401</mixed-citation></ref><ref id="scirp.123844-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Regional Department of Health and Public Hygiene (2019) Local Health Information System of Mali.</mixed-citation></ref><ref id="scirp.123844-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Faye, A., Dieng, M., Diagne, N., Ndao, A.C., Cissé, M., Sow, M., Kane, B.S., Djiba, B. and Pouye, A. (2021) Epidemiological, Etiological and Evolutionary Profile of Anemia in an Internal Medicine Department. RAFMI, 8, 63-68.</mixed-citation></ref><ref id="scirp.123844-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Zore, S. (2016) Anemia in the Department of Medicine of the Souro Sanou University Hospital in Bobo Dioulasso. Thesis Medicine.</mixed-citation></ref><ref id="scirp.123844-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">El Hioui, et al. (2006) Anemia in Moroccan Hospitals: Typology and Influences of Socio-Demographic Factors on Its Incidence. Antropo, 12, 83-91. http://www.didac.ehu.es/antropo/</mixed-citation></ref><ref id="scirp.123844-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Zinebi, A., et al. (2017) Etiological Profile of Anemia in an Internal Medicine Department. Pan African Medical Journal, 26, Article 10. https://doi.org/10.11604/pamj.2017.26.10.11368</mixed-citation></ref><ref id="scirp.123844-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Ngongang, I.M. (2021) Epidemiological, Clinical and Etiological Aspects of Iron Deficiency Anemia in the Internal Medicine Department of CHU Point-G. Thesis Medicine.</mixed-citation></ref><ref id="scirp.123844-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Penda, B. (2021) Epidemiological, Clinical and Therapeutic Aspects in Anemic Patients Hospitalized at the Abass N’dao Hospital Center. Thesis Medicine.</mixed-citation></ref><ref id="scirp.123844-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Momar, C. (2018) Anemia in the Internal Medicine Department: Epidemiological, Clinical, Etiological and Evolutionary Aspects: About 150 Cases Collected at the Medical Clinic 1 of Le Dantec University Hospital. Thesis Medicine.</mixed-citation></ref></ref-list></back></article>