<?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">OJMM</journal-id><journal-title-group><journal-title>Open Journal of Medical Microbiology</journal-title></journal-title-group><issn pub-type="epub">2165-3372</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojmm.2023.131009</article-id><article-id pub-id-type="publisher-id">OJMM-123861</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>
 
 
  Antibiotic Susceptibility Patterns of Bacteria Associated with Sepsis among Hospitalized Patients in the Yaound&#233; University Teaching Hospital—Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lavoisier</surname><given-names>Christian Ngassa Yimtchi</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>Benjamin</surname><given-names>D. Thumamo Pokam</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>Abange</surname><given-names>William Baiye</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>Anicette</surname><given-names>Chafa Betbeui</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>Hontense</surname><given-names>Kamga Gonsu</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>Watching</surname><given-names>Djakissam</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Medical Laboratory Sciences, Faculty of Health Sciences, University of Buea, Buea, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Department of Microbiology, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Bacteriology Laboratory, Yaoundé University Teaching Hospital, Yaoundé, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Department of Biomedical Sciences, Faculty of Health Sciences, University of Buea, Buea, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>19</day><month>01</month><year>2023</year></pub-date><volume>13</volume><issue>01</issue><fpage>101</fpage><lpage>115</lpage><history><date date-type="received"><day>6,</day>	<month>November</month>	<year>2022</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>
 
 
  <b>Background and Objective:</b>
   In developing countries, the steep increase in septicaemia cases is a major health problem that creates the biggest challenge for clinicians in the selection of appropriate antimicrobial agents. This is further complicated by the development of resistance in organisms to antimicrobial agents, which is the mainstay of treatment. The aim of this study was to determine the antimicrobial resistance patterns of bacterial isolates associated with sepsis among hospitalized patients including the detection of Methicillin Resistance Staphylococcus aureus (MRSA) and Extended Spectrum Beta lactamases (ESBLs). <b>Methods:</b> A cross-sectional study was carried out for 5 months at the Yaounde University Teaching Hospital. Bacterial species were isolated from 150 blood samples collected from hospitalized patients. Antimicrobial susceptibility testing was carried out using the Kirby-Bauer disc diffusion method. The isolates were tested for methicillin resistance and ESBLs
  .
   <b>Results:</b> The prevalence of septicaemia was 16% (24/150) among hospitalized patients. In our study, 75% (18/24) of infections were caused by Gram-
   
  negative and 25% (6/24) by Gram-positive bacteria. Klebsiella spp., Escherichia coli, and Staphylococcus aureus were the most common isolates. The antibiotic susceptibility patterns of the isolates showed that Gram-negati
  ve bacteria were highly resistant to Amoxicillin clavulanic acid and ceftriaxone while the Gram-
   
  positive bacteria were highly resistant to minocycline. Fifty percent
   (3/6) of the isolated S. aureus were methicillin-resistant and 27.8% (5/18) of the isolated Enterobacteriaceae were ESBLs producers. In multivariable logistic regression analysis, temperature above 37.9
  ℃
   (AOR = 4.455; 95% Cl = 1.458 
  -
   15.693; p = 0.033) and being under respiratory assistance (AOR = 4.311; 95% Cl = 1.458 
  -
   12.749; p = 0.008) were significantly associated with septicaemia. <b>Conclusion:</b> The Occurrence of multidrug-resistant strains in this study emphasizes the need for continuous surveillance in hospitals to detect resistant strains. Strict guidelines for antibiotic therapy and the implementation of infection control measures to reduce the increasing burden of antibiotic resistance are advocated.
 
</p></abstract><kwd-group><kwd>Septicaemia</kwd><kwd> ESBLs</kwd><kwd> MRSA</kwd><kwd> Antimicrobial Resistance</kwd><kwd> Yaound&#233;</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Sepsis (septicaemia) is a life-threatening condition having a high prevalence in middle and low-income countries [<xref ref-type="bibr" rid="scirp.123861-ref1">1</xref>]. For its management, a timely and effective application of antibiotics is crucial to preside over the morbidity and mortality of the infection [<xref ref-type="bibr" rid="scirp.123861-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref3">3</xref>]. Antibiotics are useful for infection control, but their misuse and overuse have induced antibiotic resistance in various pathogens putting the world at risk [<xref ref-type="bibr" rid="scirp.123861-ref4">4</xref>]. This growing threat prompted the World Health Organization to issue a global action plan for antimicrobial resistance [<xref ref-type="bibr" rid="scirp.123861-ref4">4</xref>]. The Centre for Disease Control and Prevention (CDC) has classified Methicillin-Resistant Staphylococcus aureus (MRSA) and Extended-spectrum beta-lactamase-producing Enterobacteriaceae together with other Multidrug-Resistant (MDR) bacteria as serious threats [<xref ref-type="bibr" rid="scirp.123861-ref4">4</xref>]. Several studies have demonstrated the high mortality attributable to bloodstream infections due to these MDR organisms [<xref ref-type="bibr" rid="scirp.123861-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref8">8</xref>]. The emergence and global spread of multidrug resistant bacteria, in hospital and community settings, limits the use of therapeutic options, especially for people with co-morbidity conditions such as cancers and Human Immunodeficiency Virus (HIV) [<xref ref-type="bibr" rid="scirp.123861-ref9">9</xref>].</p><p>In Cameroon, previous studies reported a high prevalence rate of septicaemia [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>], yet there is limited information on the aetiology of MDR bacteria causing septicaemia. This study was therefore carried out to determine the antimicrobial resistance patterns of bacterial isolates associated with sepsis among hospitalized patients including the detection of MRSA and Extended Spectrum Beta lactamases (ESBLs) at the Yaound&#233; University Teaching Hospital. This research will contribute to the knowledge of drug-resistant bacteria causing septicaemia and the factors predisposing the infection in our hospital setting. It will also contribute to ensuring appropriate treatment of patients and prevent further development of drug resistance.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Study Design and Setting</title><p>This cross-sectional study was conducted from November 2021 to March 2022 at the Yaound&#233; University Teaching Hospital, in the central region of Cameroon. The study population consisted of hospitalized patients presenting attending the different ward of the selected facility and presenting sign and symptoms of septicaemia (which included fever or hyperthermia, tachycardia, and tachypnea with suspected or defined sites of infection, was considered eligible for the study). Exclusion criteria were 1) Patients or Carers who have not given consent and 2) Patients that could not provide a blood sample. The sample size was determined using single population proportion formula with a prevalence value (p = 9.8%) taken from a previous study [<xref ref-type="bibr" rid="scirp.123861-ref12">12</xref>] and a 95% confidence interval (CI). Consecutive sampling technique was used to recruit our participants.</p></sec><sec id="s2_2"><title>2.2. Ethical Statement</title><p>The study was conducted following the Declaration of Helsinki, and the protocol was approved by the Faculty of Health Science Institutional Review Board (Ref. 2022/1608-02/UB/IRB/FHS) and the Yaound&#233; University Teaching Hospital (No 4593/AR/CHUY/DG/DGA/CAPRC). Participation was voluntary and each subject involved in the study gave a written consent</p></sec><sec id="s2_3"><title>2.3. Blood Culture and Identification of Isolates</title><p>Aseptically, approximately 2 - 5 ml of blood from children and 8 - 10 ml of blood from the adult, was obtained after cleaning the venous site with 70% alcohol and subsequently with a 10% povidone-iodine solution. The collected venous blood was immediately inoculated into blood culture bottles containing Tryptone Soy Broth (TSB) (Oxoid, Hampshire, UK). The culture bottles were immediately transported from the sites of collection (the different wards) to the laboratory, where they were incubated at 37˚C and inspected daily for the presence of visible microbial growth for 7 days. The appearances of discrete colonies, turbidity of the broth, gas production, hemolysis and/or coagulation of broth were the different characteristics inspected daily. Depending on the initial Gram reaction, microbial growth was subculture on blood, chocolate and MacConkey agar plates and was incubated at 37˚C for 18 - 24 h for bacterial isolation. The blood and MacConkey agar plates were incubated aerobically while chocolate agar + polyvitex was incubated in a microaerophilic atmosphere (5% - 10% CO<sub>2</sub>) in an anaerobic jar. In case of no microbial growth, systematic subculture was done the 3<sup>rd</sup> and 7<sup>th</sup> day on blood agar and chocolate + polyvitex agar aimed at recovering fastidious bacteria. Identification of culture isolates was done according to standard bacteriological techniques and their characteristic appearance on their respective media, Gram smear technique, haemolytic activities on blood agar, catalase, coagulase, mannitol fermentation and Dnase for Gram-positive bacteria were used. Whereas for Gram-negative bacteria, API20E (Biomerieux, France) and oxidase were used as described by the manufacturer’s instructions.</p></sec><sec id="s2_4"><title>2.4. Antibiotic Susceptibility Test</title><p>The antibiogram was performed by the diffusion method using antibiotic discs on Mueller Hinton agar according to the Kirby Bauer technique. The isolates were tested against Amoxicillin + clavulanic acid (20 &#181;g), Ticarcilline (75 &#181;g) Cefoxitin (30 &#181;g), Ceftazidime (30 &#181;g), Imipenem (10 &#181;g), Aztreonam (30 &#181;g), Levofloxacin (5 &#181;g), Ciprofloxacin (5 &#181;g), Amikacin (30 &#181;g), Gentamicin (10 &#181;g), Nitrofurantoin (100 &#181;g), Netilmicine (10 &#181;g), Minocycline (30 &#181;g), Tetracycline (30 &#181;g), Norfloxacine (10 &#181;g), Vancomycin (30 &#181;g), Clindamycin (2 &#181;g) and Erythromycin (15 &#181;g). The inoculums were prepared from an 18 - 24-hour pure colony culture in sterile physiological water (0.85% NaCl). The bacterial suspension was adjusted to 0.5 MacFarland standards and was inoculated onto Mueller Hinton agar. The results were interpreted following the CASFM-EUCAST (Comite d’Antibiogramme de la Societe Francaise de Microbiology/The European Committee on Antimicrobial Susceptibility Testing) 2021 criteria [<xref ref-type="bibr" rid="scirp.123861-ref13">13</xref>].</p></sec><sec id="s2_5"><title>2.5. Phenotypic Characterization of the Identified Strains</title><p>Detection of Extended Spectrum Beta-lactamases (ESBLs) in Enterobacteriaceae; The screening test for the production of ESBL was performed using both ceftazidime (30 &#181;g) and Ceftriaxone (30 &#181;g) disks. If the zone of inhibition was less than or equal to 22 mm for ceftazidime and/or less than or equal to 25 mm for Ceftriaxone, the Enterobacteriaceae isolate was considered a potential ESBL-producer as recommended by the CASFM-EUCAST 2021 [<xref ref-type="bibr" rid="scirp.123861-ref13">13</xref>]. Double Disk Synergy Test was used to confirm the production of ESBL. It was done by placing discs containing cefotaxime (30 &#181;g), ceftazidime (30 &#181;g) and aztreonam (30 &#181;g) 15 mm to the disc with clavulanic acid (amoxicillin-clavulanic acid). A positive result was indicated when the inhibition zones around any of the cephalosporin discs increased in the direction of the disk containing clavulanic acid.</p><p>Detection of Methicillin-Resistant Staphylococcus aureus; Strain with Cefoxitin (30 ug disk) zone diameter &lt; 22 mm was reported as methicillin-resistant, following the CASFM-EUCAST recommendation [<xref ref-type="bibr" rid="scirp.123861-ref13">13</xref>].</p></sec><sec id="s2_6"><title>2.6. Data Analysis</title><p>The Data was entered into Statistical Package for Social Sciences (SPSS), Chicago, IL, the USA for Windows, version 25. Data were analyzed using descriptive statistics; this included the use of tables and percentages to explain the results. Bivariate and multivariate logistic regression analyses were performed to evaluate the association between variables and septicaemia. Variables with a p-value &lt; 0.25 in the bivariable logistic regression model were subsequently analyzed in the multivariable logistic regression to control the confounding factors and a p-value &lt; 0.05 from multivariable logistic regression was considered statistically significant.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Sociodemographic Characteristics</title><p>A total of 150 symptomatic patients were included in this study, the mean age was 50.03 &#177; 18.655 years. The youngest was 10 years and the oldest was 92 years. The majority of the participants were aged above 60 years old. Of the 150 included participants, the dominant gender [78 (52.0%)] was male, while 72 (48.0%) were female. All participants had some level of education and 50.7% (76/150) of the participants came from the emergency department. Other socio-demographic characteristics are illustrated in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_2"><title>3.2. Prevalence of Septicaemia</title><p>Out of the 150 blood samples processed for culture, 24 (16.0%) cultures showed</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodermographic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristics</th><th align="center" valign="middle"  colspan="2"  >Total (n = 150)</th></tr></thead><tr><td align="center" valign="middle" >Participants (n)</td><td align="center" valign="middle" >Percentage (%)</td></tr><tr><td align="center" valign="middle" >Age-group/years</td><td align="center" valign="middle" >Mean &#177; SD (50.03 &#177; 18.655)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤20</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8.7</td></tr><tr><td align="center" valign="middle" >21 - 30</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8.7</td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >12.0</td></tr><tr><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >23.3</td></tr><tr><td align="center" valign="middle" >&gt;60</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >30.7</td></tr><tr><td align="center" valign="middle" >Gender</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" >78</td><td align="center" valign="middle" >52.0</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >48.0</td></tr><tr><td align="center" valign="middle" >Level of Education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >30.7</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >38.0</td></tr><tr><td align="center" valign="middle" >Tertiary</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >31.3</td></tr><tr><td align="center" valign="middle" >Occupation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >12.7</td></tr><tr><td align="center" valign="middle" >Self-employed</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >27.3</td></tr><tr><td align="center" valign="middle" >Employed</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >17.3</td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >42.7</td></tr><tr><td align="center" valign="middle" >Department (service)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Emergency</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >50.7</td></tr><tr><td align="center" valign="middle" >Pediatric</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6.0</td></tr><tr><td align="center" valign="middle" >Internal medicine</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >22.7</td></tr><tr><td align="center" valign="middle" >Reanimation</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >15.3</td></tr><tr><td align="center" valign="middle" >Surgical ward</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >5.3</td></tr></tbody></table></table-wrap><p>bacterial growth and thus bacteriologically confirmed septicaemia. No growth was observed in 126/150 (84.0%) blood culture sets. A high number of the positive case was seen in patients aged above 60 years old [9/24 (37.5%)] and male patients [17/24 (70.8%) of the positive cases].</p></sec><sec id="s3_3"><title>3.3. Bacteria Isolates of Blood Culture among Study Participants</title><p>A total of 24 (16%) bacterial pathogens were isolated from 150 blood culture sets. The majority [18/24 (75%)] of the isolates responsible for septicaemia were Gram-negative (Enterobacteriaceae) whereas Gram-positive (cocci) bacteria accounted for [6/25 (25.0%)]. In the case of Gram-negative bacteria, Klebsiella spp [8/22 (33.3%)] was the most frequently isolated organism, followed by E. coli [6/24 (25.0%)], Acinetobacter spp [2/24 (8.3%)], Enterobacter cloacae [1/24 (4.2%)] and Serratia marcescens [1/24 (4.2%)]. While S. aureus was the only isolated Gram-positive bacteria, accounting for 25.0% (6/24) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). It is to be noted that only monobacterial infection was observed in all cases.</p></sec><sec id="s3_4"><title>3.4. Antimicrobial Resistance Patterns of Blood Culture Isolates</title><p>The blood culture isolates were tested against specific antibiotics and their susceptibility to these drugs was recorded in <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>. The antimicrobial susceptibility patterns of Enterobacteriaceae showed a high level of resistance of Klebsiella species to amoxicillin-clavulanic acid [7/8 (87.5%)], ticarcillin [6/8 (75%)], ceftazidime [6/8 (75%)] and ceftriaxone [6/8 (75%)]. E. coli showed a 100% resistance to Amoxicillin-clavulanic acid and Ticarcillin. Also, the Acinetobacter species showed a high level of resistance to ceftazidime and ceftrixone at 100%. Enterobacter cloacae isolate was highly resistant to the majority of the antibiotics except for ciprofloxacin and gentamicin. Serratia mercescens was resistant to amoxicillin-clavulanic acid only (<xref ref-type="table" rid="table2">Table 2</xref>). S. aureus showed a high level of resistance to minocycline [4/6 (66.7%)]. However, the isolates showed a low</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Antimicrobial resistance patterns of Gram-negative bacteria</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Bacteria species</th><th align="center" valign="middle"  colspan="12"  >Antimicrobial Agent tested</th></tr></thead><tr><td align="center" valign="middle" >AMC</td><td align="center" valign="middle" >TIC</td><td align="center" valign="middle" >FOX</td><td align="center" valign="middle" >CAZ</td><td align="center" valign="middle" >CRO</td><td align="center" valign="middle" >IMP</td><td align="center" valign="middle" >ATM</td><td align="center" valign="middle" >LEV</td><td align="center" valign="middle" >CIP</td><td align="center" valign="middle" >AN</td><td align="center" valign="middle" >GM</td><td align="center" valign="middle" >NIT</td></tr><tr><td align="center" valign="middle" >Klebsiella spp (n = 8)</td><td align="center" valign="middle" >87.5 (7)</td><td align="center" valign="middle" >75 (6)</td><td align="center" valign="middle" >25 (2)</td><td align="center" valign="middle" >75 (6)</td><td align="center" valign="middle" >75 (6)</td><td align="center" valign="middle" >12.5 (1)</td><td align="center" valign="middle" >62.5 (5)</td><td align="center" valign="middle" >25 (2)</td><td align="center" valign="middle" >50 (4)</td><td align="center" valign="middle" >25 (2)</td><td align="center" valign="middle" >62.5 (5)</td><td align="center" valign="middle" >37.5 (3)</td></tr><tr><td align="center" valign="middle" >E. coli (n = 6)</td><td align="center" valign="middle" >100 (6)</td><td align="center" valign="middle" >100 (6)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >83.3 (5)</td><td align="center" valign="middle" >83.3 (5)</td><td align="center" valign="middle" >16.7 (1)</td><td align="center" valign="middle" >66.7 (4)</td><td align="center" valign="middle" >50 (3)</td><td align="center" valign="middle" >66.7 (4)</td><td align="center" valign="middle" >16.7 (1)</td><td align="center" valign="middle" >16.7 (1)</td><td align="center" valign="middle" >16.7 (1)</td></tr><tr><td align="center" valign="middle" >Acinetobacter spp (n = 2)</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >100 (2)</td><td align="center" valign="middle" >100 (2)</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >50 (1)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >50 (1)</td></tr><tr><td align="center" valign="middle" >Entrobacter clocacae (n = 1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >100 (1)</td></tr><tr><td align="center" valign="middle" >Serracia mercesceus (n = 1)</td><td align="center" valign="middle" >100 (1)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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" >88.9 (16)</td><td align="center" valign="middle" >77.8 (14)</td><td align="center" valign="middle" >22.2 (4)</td><td align="center" valign="middle" >77.8 (14)</td><td align="center" valign="middle" >83.3 (15)</td><td align="center" valign="middle" >22.2 (4)</td><td align="center" valign="middle" >61.1 (11)</td><td align="center" valign="middle" >38.9 (7)</td><td align="center" valign="middle" >44.4 (8)</td><td align="center" valign="middle" >27.8 (5)</td><td align="center" valign="middle" >33.3 (6)</td><td align="center" valign="middle" >33.3 (6)</td></tr></tbody></table></table-wrap><p>AMC = Amoxiciline clavulanic acide; TIC = Ticarcilline; FOX = cefoxitin, CAZ = Ceftazidime, IMP = Imipenem; ATM = Aztreonam; LEV = Levofloxacin; CIP = Ciprofloxacine; AN = Amikacine; GM = Gentamicin; NIT = Nitrofurantoin.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Antimicrobial resistance pattern of Gram-positive bacteria</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Bacteria species</th><th align="center" valign="middle"  colspan="10"  >Antimicrobial agent tested</th></tr></thead><tr><td align="center" valign="middle" >FOX</td><td align="center" valign="middle" >CN</td><td align="center" valign="middle" >NET</td><td align="center" valign="middle" >MIN</td><td align="center" valign="middle" >TET</td><td align="center" valign="middle" >CIP</td><td align="center" valign="middle" >NOR</td><td align="center" valign="middle" >VA</td><td align="center" valign="middle" >CM</td><td align="center" valign="middle" >E</td></tr><tr><td align="center" valign="middle" >S. aureus (6)</td><td align="center" valign="middle" >50.0 (3)</td><td align="center" valign="middle" >16.7 (1)</td><td align="center" valign="middle" >33.3 (2)</td><td align="center" valign="middle" >66.7 (4)</td><td align="center" valign="middle" >50.0 (3)</td><td align="center" valign="middle" >50.0 (3)</td><td align="center" valign="middle" >33.3 (2)</td><td align="center" valign="middle" >16.7 (1)</td><td align="center" valign="middle" >33.3 (2)</td><td align="center" valign="middle" >50.0 (3)</td></tr></tbody></table></table-wrap><p>FOX = Cefoxitin; CN = Gentamicin; NET = Netilmicine; MIN = Minocycline; TET = Tetracycline; CIP = Ciprofloxacin; NOR = Norfloxacin; VA = Vancomycin; CM = Clindamycine; E = Erythromycin.</p><p>level of resistivity (sensitive) to Vancomycin [1/6 (16.7%)], Gentamicin [1/6 (16.7%)], Ciprofloxacin [2/6 (33.3%)], Clindamycin [2/6 (33.3%)] and Netilmicine [2/6 (33.3%)] (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s3_5"><title>3.5. Multidrug Resistance (MDR)</title><p>Out of the 25 bacterial isolates, MDR was found in 19 (76%). Among these MDR isolates, 14 isolates (77.8%) were Gram-negative bacteria and five (83.3%) were Gram-positive bacteria. The MDR patterns of Gram-positive bacteria consist of 5/6 (83.3%) of S. aureus. MDR patterns of Gram-negative bacteria comprise 2/2 (100%) Acinetobacter spp, 1/1 (100%) of Enterobacter clocacae, 6/8 (80%) of Klebsiella spp and 5/6 (83.3%) of E. coli (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_6"><title>3.6. Phenotypic Resistance</title><p>Among the isolated Enterobacteriaceae (Gram-negative bacteria), Extended Spectrum Beta-lactamase (ESBLS) was expressed by 5 of the 18 isolates, giving a prevalence of 27.8%. ESBLS was expressed only by the Klebsiella spp and E. coli with both accounting for 60% (3/5) and 40% (2/5) of the positive case respectively.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Occurrence of Multi-drug resistance bacteria</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Bactria species</th><th align="center" valign="middle" >Resistance to one class of drug</th><th align="center" valign="middle" >Resistance to two classes of drugs</th><th align="center" valign="middle" >MDR (≥3 class)</th><th align="center" valign="middle" >ESBLS production</th><th align="center" valign="middle" >MRSA</th></tr></thead><tr><td align="center" valign="middle" >Klebsiella spp (n = 8)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2 (20%)</td><td align="center" valign="middle" >6 (80%)</td><td align="center" valign="middle" >3 (37.5%)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >E. coli (n = 6)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >1 (16.7%)</td><td align="center" valign="middle" >5 (83.3%)</td><td align="center" valign="middle" >2 (33.3%)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Acinetobacter spp (n = 2)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2 (100%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Enterobacter clocacae (n = 1)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >1 (100%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Serratia mercesceus (n = 1)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >1 (100%)</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" >Gram-negative bacteria (n = 18)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >4 (22.2%)</td><td align="center" valign="middle" >14 (77.8)</td><td align="center" valign="middle" >5 (27.8%)</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >S. aureus (n = 6)</td><td align="center" valign="middle" >1 (16.7%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >5 (83.3%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >3 (50%)</td></tr><tr><td align="center" valign="middle" >Gram-positive bacteria (n = 6)</td><td align="center" valign="middle" >1(16.7%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >5 (83.3%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >3 (50%)</td></tr></tbody></table></table-wrap><p>Among the Gram-positive bacteria, 50% (3/6) of the S. aureus were methicillin resistant. This is illustrated on <xref ref-type="table" rid="table4">Table 4</xref>.</p></sec><sec id="s3_7"><title>3.7. Factors Associated with Septicaemia</title><p>In bivariable logistic regression analysis, septicaemia was statistically significant in male patients (COR = 2.588; 95% Cl = 1.004 - 6.671; p = 0.049), in those with a body temperature above 37.9˚C (COR = 4.455; 95% Cl = 1.261 - 15.73; p = 0.02) and those under respiratory assistance (COR = 4.286; 95% Cl = 1.653 - 11.111; p = 0.003). However, in multivariable logistic regression analysis, only having a body temperature above 37.9˚C (AOR = 4.455; 95% Cl = 1.458 - 15.693; p = 0.033) and in those under respiratory assistance (AOR = 4.311; 95% Cl = 1.458 - 12.749; p = 0.008) were statistically significant (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This study aimed at determining the antimicrobial resistance pattern of bacteria associated with sepsis among hospitalized patients at the Yaound&#233; University Teaching Hospital. We included patients of all age groups. Results showed that septicaemia was present in 16.0% of hospitalized patients. In comparison to other studies in Cameroon, this prevalence was lower than the 28.3% and 25.5% reported by Kamga et al. [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>] and Zefack et al. [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>] in Yaound&#233;, Cameroon respectively. Also, this finding was found lower than that reported in Ethiopia (24.2%) by Ali et al. [<xref ref-type="bibr" rid="scirp.123861-ref14">14</xref>], and in India (41.4%) by Kumar et al. [<xref ref-type="bibr" rid="scirp.123861-ref15">15</xref>]. Our result was quite similar to that of Dagnew et al. [<xref ref-type="bibr" rid="scirp.123861-ref15">15</xref>] in Northwest Ethiopia (18.2%) and that of Shitaye et al. [<xref ref-type="bibr" rid="scirp.123861-ref16">16</xref>] in Nigeria (18.2%), but was however higher than that of Marshall et al. [<xref ref-type="bibr" rid="scirp.123861-ref17">17</xref>] in Iran (4.1%). These varying proportions may be due to the different methodologies used and the area of study.</p><p>The range of microorganisms that invade the bloodstream has been systematically studied by several researchers. In our study, 75% of infections were caused by Gram-negative and 25% by Gram-positive bacteria. Studies in different countries; Nigeria (69.3% and 30.7%) and Tanzania (69.7% and 30.3%) reported</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Bivariable and multivariable logistic regression analyses of factors associated with septicaemia among hospitalized patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factor</th><th align="center" valign="middle" >Number positive (%)</th><th align="center" valign="middle" >Number negative (%)</th><th align="center" valign="middle" >COR (95% Cl)</th><th align="center" valign="middle" >P-value</th><th align="center" valign="middle" >AOR (95% Cl)</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >Age group/years</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤20</td><td align="center" valign="middle" >1 (7.7)</td><td align="center" valign="middle" >12 (92.3)</td><td align="center" valign="middle" >1</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" >21 - 30</td><td align="center" valign="middle" >1 (7.7)</td><td align="center" valign="middle" >12 (92.3)</td><td align="center" valign="middle" >1 (0.056 - 17.903)</td><td align="center" valign="middle" >&gt;0.999</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >2 (11.1)</td><td align="center" valign="middle" >16 (88.9)</td><td align="center" valign="middle" >1.5 (0.121 - 18.54)</td><td align="center" valign="middle" >0.752</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >3 (12.0)</td><td align="center" valign="middle" >22 (88.0)</td><td align="center" valign="middle" >1.636 (0.153 - 17.504)</td><td align="center" valign="middle" >0.684</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >8 (22.9)</td><td align="center" valign="middle" >27 (77.1)</td><td align="center" valign="middle" >3.556 (0.399 - 31.682)</td><td align="center" valign="middle" >0.256</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;60</td><td align="center" valign="middle" >9 (19.6)</td><td align="center" valign="middle" >37 (80.4)</td><td align="center" valign="middle" >2.919 (0.335 - 25.467)</td><td align="center" valign="middle" >0.332</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >7 (9.7)</td><td align="center" valign="middle" >65 (90.3)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >17 (21.8)</td><td align="center" valign="middle" >61 (78.2)</td><td align="center" valign="middle" >2.588 (1.004- 6.671)</td><td align="center" valign="middle" >0.049</td><td align="center" valign="middle" >2.229 (0.802 - 6.194)</td><td align="center" valign="middle" >0.124</td></tr><tr><td align="center" valign="middle" >Level of Education</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >8 (17.4)</td><td align="center" valign="middle" >38 (82.6)</td><td align="center" valign="middle" >1</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" >Secondary</td><td align="center" valign="middle" >9 (15.8)</td><td align="center" valign="middle" >48 (84.2)</td><td align="center" valign="middle" >0.891 (0.314 - 2.528)</td><td align="center" valign="middle" >0.828</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Tertiary</td><td align="center" valign="middle" >7 (14.9)</td><td align="center" valign="middle" >40 (85.1)</td><td align="center" valign="middle" >0.831 (0.275 - 2.515)</td><td align="center" valign="middle" >0.744</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occupation</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >2 (10.5)</td><td align="center" valign="middle" >17 (85.5)</td><td align="center" valign="middle" >1</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" >Self Employed</td><td align="center" valign="middle" >6 (14.6)</td><td align="center" valign="middle" >35 (85.4)</td><td align="center" valign="middle" >1.457 (0.266 - 7.992)</td><td align="center" valign="middle" >0.665</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Employed</td><td align="center" valign="middle" >5 (19.5)</td><td align="center" valign="middle" >21 (80.8)</td><td align="center" valign="middle" >2.024 (0.348 - 11.764)</td><td align="center" valign="middle" >0.432</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >11 (17.2)</td><td align="center" valign="middle" >53 (82.8)</td><td align="center" valign="middle" >1.764 (0.355 - 8.761)</td><td align="center" valign="middle" >0.488</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Department</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Emergency</td><td align="center" valign="middle" >13 (17.1)</td><td align="center" valign="middle" >63 (82.9)</td><td align="center" valign="middle" >1</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" >Paediatric</td><td align="center" valign="middle" >1 (11.1)</td><td align="center" valign="middle" >8 (88.9)</td><td align="center" valign="middle" >0.606 (0.07 - 5.268)</td><td align="center" valign="middle" >0.650</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Internal Medicine</td><td align="center" valign="middle" >5 (14.7)</td><td align="center" valign="middle" >29 (85.3)</td><td align="center" valign="middle" >0.727 (0.188 - 2.811)</td><td align="center" valign="middle" >0.644</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Reanimation</td><td align="center" valign="middle" >3 (13.0)</td><td align="center" valign="middle" >20 (87.0)</td><td align="center" valign="middle" >0.336 (0.272 - 2.564)</td><td align="center" valign="middle" >0.753</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Surgical Ward</td><td align="center" valign="middle" >2 (25.0)</td><td align="center" valign="middle" >6(75.0)</td><td align="center" valign="middle" >1.615 (0.293 - 8.914)</td><td align="center" valign="middle" >0.582</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Temperature</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤37.9˚C</td><td align="center" valign="middle" >3 (5.8)</td><td align="center" valign="middle" >49 (94.2)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;37.9˚C</td><td align="center" valign="middle" >21 (21.4)</td><td align="center" valign="middle" >77 (78.6)</td><td align="center" valign="middle" >4.455 (1.261 - 15.73)</td><td align="center" valign="middle" >0.020</td><td align="center" valign="middle" >4.193 (1.121 - 15.693)</td><td align="center" valign="middle" >0.033</td></tr><tr><td align="center" valign="middle" >Under Antibiotics</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17 (13.6)</td><td align="center" valign="middle" >108 (86.4)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >7 (28.0)</td><td align="center" valign="middle" >18 (72.0)</td><td align="center" valign="middle" >2.471 (0.898 - 6.795)</td><td align="center" valign="middle" >0.080</td><td align="center" valign="middle" >2.384 (0.771 - 7.373)</td><td align="center" valign="middle" >0.131</td></tr><tr><td align="center" valign="middle" >Past Hospitalisation</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17 (14.4)</td><td align="center" valign="middle" >101 (85.6)</td><td align="center" valign="middle" >1</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" >7 (21.9)</td><td align="center" valign="middle" >25 (78.1)</td><td align="center" valign="middle" >1.664 (0.622 - 4.446)</td><td align="center" valign="middle" >0.310</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diagnose of an infection</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >19 (18.1)</td><td align="center" valign="middle" >86 (81.9)</td><td align="center" valign="middle" >1</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" >5 (11.1)</td><td align="center" valign="middle" >40 (88.9)</td><td align="center" valign="middle" >0.566 (0.197 - 1.624)</td><td align="center" valign="middle" >0.290</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Under respiratory assistance</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" >12 (11.3)</td><td align="center" valign="middle" >94 (88.7)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >12 (27.3)</td><td align="center" valign="middle" >18 (72.7)</td><td align="center" valign="middle" >4.286 (1.653 - 11.111)</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >4.311 (1.458 - 12.749)</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >Underlying Diseases</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17 (14.2)</td><td align="center" valign="middle" >103 (85.8)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >7 (23.3)</td><td align="center" valign="middle" >23 (76.7)</td><td align="center" valign="middle" >1.844 (0.686 - 4.96)</td><td align="center" valign="middle" >0.225</td><td align="center" valign="middle" >1.138 (0.356 - 3.642)</td><td align="center" valign="middle" >0.828</td></tr><tr><td align="center" valign="middle" >Past operation</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >21 (17.4)</td><td align="center" valign="middle" >100 (82.6)</td><td align="center" valign="middle" >1</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" >3 (10.6)</td><td align="center" valign="middle" >26 (89.7)</td><td align="center" valign="middle" >0.549 (0.152 - 1.985)</td><td align="center" valign="middle" >0.361</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>COR; Crude Odd Ratio, AOR; Adjusted Odd Ratio, Cl; Confidence interval.</p><p>similar higher proposition of Gram-negative bacteria than Gram-positive bacteria respectively [<xref ref-type="bibr" rid="scirp.123861-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref20">20</xref>]. Conversely, Gram-positive bacteria have been reported as the commonest cause of bacteraemia in hospitalized patients than Gram-negative in studies carried out by Kamga et al. (56.2% and 43.8%) and Zefack et al. (62.2% and 30.8%) in Yaound&#233; Cameroon [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>]. The same findings have been reported in other developing countries [<xref ref-type="bibr" rid="scirp.123861-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref18">18</xref>]. The possible explanation for the difference could be the difference in the study design, nature of the patient population and seasonal variation.</p><p>In the case of Gram-negative bacteria, Klebsiella species (33.3%) was the predominant bacteria followed by E. coli (25%). This finding is comparable to other studies done in Yaound&#233; Cameroon [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>] and Gondar Ethiopia [<xref ref-type="bibr" rid="scirp.123861-ref16">16</xref>] where the isolation rates of Klebsiella spp and E. coli were (12.3% and 10.8%) and (12.7% and 7.0%) respectively. However, our finding was contrary to what was obtained in Cameroon [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>], Addis Ababa Ethiopia [<xref ref-type="bibr" rid="scirp.123861-ref19">19</xref>], and India [<xref ref-type="bibr" rid="scirp.123861-ref15">15</xref>] where E. coli was the predominant bacteria isolated among Gram-negative bacteria. Again, S. aureus (25%) was the only bacteria isolated. This finding is in contradiction with other studies in Cameroon [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>], Ethiopia [<xref ref-type="bibr" rid="scirp.123861-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref16">16</xref>], India [<xref ref-type="bibr" rid="scirp.123861-ref15">15</xref>], and Nigeria [<xref ref-type="bibr" rid="scirp.123861-ref20">20</xref>]. However, quite similar to that of Habyarimana et al. in Kigali Rwanda [<xref ref-type="bibr" rid="scirp.123861-ref21">21</xref>] who found S. aureus as the predominant Gram-positive bacteria.</p><p>This study revealed that all cases of septicaemia in our study were caused by a single microorganism. This observation is in agreement with earlier studies [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref17">17</xref>]. On the contrary, septicaemia of polymicrobial aetiology has been found in other studies [<xref ref-type="bibr" rid="scirp.123861-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref23">23</xref>].</p><p>The antimicrobial susceptibility profile of the etiological agents of septicaemia has revealed that 66.7% of the S. aureus isolated were resistant to minocycline. Also, among Gram-negative bacteria, Klebsiella spp. showed highest resistance to amoxicillin clavulanic acid (87.5%) and E. coli showed a 100% resistance to amoxicillin clavulanic acid and tetracycline. In general, our Antimicrobial susceptibility pattern indicates that Gram-negative bacteria exhibited a greater level of antimicrobial resistance ranging between (22.2% - 88.9%) than Gram-positive bacteria (16.7% - 66.7%) to various antibacterial agents employed during the study period. This was similar to other studies done in Nigeria for which Gram-negative bacteria (19.8% - 92.3%) and Gram-positive (10% - 87%) [<xref ref-type="bibr" rid="scirp.123861-ref24">24</xref>] and in Gondar Ethiopia which had Gram-negative bacteria (20% - 100%) and Gram-positive (23.5% - 58.8%) [<xref ref-type="bibr" rid="scirp.123861-ref16">16</xref>] antimicrobial resistance. This situation raises serious concern and suggests a very high resistance gene pool perhaps due to gross misuse and inappropriate usage of the antibacterial agents [<xref ref-type="bibr" rid="scirp.123861-ref24">24</xref>].</p><p>Imipenem and Cefoxitin were found to be the most effective drug against Gram-negative bacteria. This finding is different from that reported in Kamga et al. [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>] and Zefack et al. [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>] in Cameroon where gentamicin was found to be the most effective drug, but similar to that of Kummar et al. [<xref ref-type="bibr" rid="scirp.123861-ref14">14</xref>] in India. Whereas, among Gram-positive bacteria, Gentamycin and Vancomycin were the most sensitive antibiotics. These findings are similar to that reported in Cameroon and Ethiopia [<xref ref-type="bibr" rid="scirp.123861-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.123861-ref16">16</xref>].</p><p>E. coli and Klebsiella spp. were the sole producers of ESBLs among the isolated Enterobacteriaceae. ESBL-producing E. coli accounted for 2 isolates (33.3% of the total E. coli isolated or 8.3% of the total blood isolates) and ESBL-producing Klebsiella spp. accounted for 3 isolates (37.5% of Klebsiella spp. isolated or 12.5% of blood isolates). This is contrary to that report in Malaysia [<xref ref-type="bibr" rid="scirp.123861-ref25">25</xref>] where ESBL-producing E. coli accounted for 9 isolates (5.2% of the total E. coli isolated or 0.5% of the total bloodstream isolates) and ESBL-producing Klebsiella spp. accounted for 23 isolates (15.5% of Klebsiella spp. isolated or 1.3% of bloodstream isolates). Furthermore, the proportion of Methicillin Resistant S. aureus (MRSA) among all S. aureus blood isolates and among all bacteria isolates was 50.0% and 8.3%, respectively. Karunakaran et al. [<xref ref-type="bibr" rid="scirp.123861-ref25">25</xref>] in Kuala lumper, Malaysia report different propositions of MRSA of 26.0% and 2.3% among all S. aureus blood isolates and all bacteria isolates respectively. The difference in rates could also have been due to different patient populations in the respective hospitals.</p><p>In our study, MDR was observed in the case of 76% of isolates, which is higher than reported by Wasihun et al. [<xref ref-type="bibr" rid="scirp.123861-ref26">26</xref>] and Birru et al. [<xref ref-type="bibr" rid="scirp.123861-ref12">12</xref>] in Ethiopia. Among the MDR, 73.7% were Gram-negative and 26.3% were Gram-positive. This finding is in contradiction to what was reported by Birru et al. [<xref ref-type="bibr" rid="scirp.123861-ref12">12</xref>] where instead 60% were Gram-positive and the rest were Gram-negative in Ethiopia.</p><p>Several risk factors of septicaemia were assessed during this study, and among the various risk factors assessed related to septicaemia, high body temperature was found to be significantly associated and it was seen that patients with a body temperature above 37.9˚C were 4.2 times more prone to infections. This finding is similar to that reported by Zefack et al. [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>]. Again, patients on respiratory assistance were found to be significantly associated with septicaemia, where they had a 4.3 risk to have infection.</p><p>Male gender was significantly associated with septicaemia; however, these were not identified as independent risk factors in the multivariate analysis. Similarly, other socio-demographic characteristics and clinical factors of patients such as the presence of underlying disease, past operation, past hospitalization and antibiotic therapy were not identified as predisposing factors. The lack of association between septicaemia and the aforementioned factors has also been described in studies conducted in Cameroon [<xref ref-type="bibr" rid="scirp.123861-ref11">11</xref>], Ethiopia [<xref ref-type="bibr" rid="scirp.123861-ref12">12</xref>] and Egypt [<xref ref-type="bibr" rid="scirp.123861-ref27">27</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>Our study reveals the prevalence of septicaemia at the University Teaching Hospital Yaound&#233; is high and also Klebsiella spp, E. coli and S. aureus were the leading cause of septicaemia among symptomatic hospitalized patients who attended the hospital during this period. Patients older than 50 years registered the highest number of septicaemia cases in this study. In general, Gram-negative bacilli were highly sensitive to imipenem and showed a high level of resistance to amoxicillin-clavulanic acid. S. aureus was highly sensitive to Gentamycin and Vancomycin and showed a high level of resistance to minocycline. Again, none of the antibiotics used singly showed high sensitivity to all the Gram-negative bacteria. So, a combination of two or more drugs (such as gentamicin, cefoxitin and ciprofloxacin) is needed to cover the broad range of Gram-negative bacilli. MDR bacteria were also observed during this study expressed by the presence of ESBLs and MRSA among the isolated bacteria. Further, high body temperature (&gt;37.9˚C) and being on respiratory assistance were significantly associated with septicaemia.</p><sec id="s5_1"><title>5.1. What is Already Known on This Topic?</title><p>There is a high incidence of septicaemia in hospital settings. The majority of blood culture isolates are multidrug-resistant.</p></sec><sec id="s5_2"><title>5.2. What this Study Adds</title><p>Point 1. High occurrence of MRSA and ESBLs-producing-Enterobacteriaceae;</p><p>Point 2. High body temperature (&gt;37.9˚C) and being on respiratory assistance are predisposing factors to septicaemia in hospitalised patients.</p></sec></sec><sec id="s6"><title>Acknowledgements</title><p>We are grateful to the participants who agreed to take part in this study. The authors further express profound gratitude to the medical personnel of the different units of the Yaounde University Teaching Hospital for the conducive environment to carry out this study till the end.</p></sec><sec id="s7"><title>Authors’ Contributions</title><p>LCNY, BDTP, AWB, WD conceived the study and designed it. LCNY carried out the sample collection, lab work and data analysis. AWB, ACB and HKG supervised the lab work and sample collection. The general supervision was carried out by BDTP and WD. AWB, LCNY and WD drafted the article. All the authors reviewed the article. All the authors read and agreed to the final manuscript.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Yimtchi, L.C.N., Pokam, B.D.T., Baiye, A.W., Betbeui, A.C., Gonsu, H.K. and Djakissam, W. (2023) Antibiotic Susceptibility Patterns of Bacteria Associated with Sepsis among Hospitalized Patients in the Yaound&#233; University Teaching Hospital—Cameroon. Open Journal of Medical Microbiology, 13, 101-115. https://doi.org/10.4236/ojmm.2023.131009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.123861-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2020) Global Report on the Epidemiology and Burden of Sepsis: Current Evidence, Identifying Gaps and Future Directions. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.123861-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Ferrer, R., Martin-Loeches, I., Phillips, G., Osborn, T.M., Townsend, S., Dellinger, R.P., et al. (2014) Empiric Antibiotic Treatment Reduces Mortality in Severe Sepsis and Septic Shock from the First Hour: Results from a Guideline-Based Performance Improvement Program. 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