<?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>
   <issn publication-format="print">
    2165-3380
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojmm.2025.151003
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojmm-141173
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Characterization of Bacterial Pathogens of the Urinary Tract in Type 2 Diabetes Patients at Mzuzu Central Hospital, Northern Malawi
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Thomas Stuart
      </surname>
      <given-names>
       Mughogho
      </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>
       Shiphrah
      </surname>
      <given-names>
       Kuriah
      </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>
       Patrick
      </surname>
      <given-names>
       Owili
      </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>
       Master
      </surname>
      <given-names>
       Chisale
      </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>
       Pizga
      </surname>
      <given-names>
       Kumwenda
      </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>
       Zhang
      </surname>
      <given-names>
       Ning
      </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>
       Shakira
      </surname>
      <given-names>
       Chimberenga
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aMinistry of Health, Laboratory Department, Mzuzu Central Hospital, Mzuzu, Malawi
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aSchool of Community Health, Amref International University, Nairobi, Kenya
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aAfrican Population Health Research Center, Nairobi, Kenya
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aDepartment of Biological Sciences, Faculty of Science, Technology and Innovations, Mzuzu University, Mzuzu, Malawi
    </addr-line> 
   </aff> 
   <aff id="aff5">
    <addr-line>
     aDepartment of Clinical Laboratory, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     13
    </day> 
    <month>
     02
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    01
   </issue>
   <fpage>
    36
   </fpage>
   <lpage>
    54
   </lpage>
   <history>
    <date date-type="received">
     <day>
      2,
     </day>
     <month>
      November
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      10,
     </day>
     <month>
      November
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      10,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    <b>Background:</b> People with type 2 diabetes are more vulnerable to infections due to a weakened immune system caused by diabetes-related factors. Urinary tract infections caused by bacteria are associated with antibiotic resistance and severe recurrent disease. 
    <b>Methods:</b> This cross-sectional study characterized uropathogenic bacteria and assessed beta-lactamases linked to antibiotic resistance with a sample size of 294. In this research, bacteria from urine culture were identified by mass spectrometry-MALDI-TOF-MS and standard biochemical assays. A phenotypic confirmatory disc diffusion test (PCDDT) was utilized to assess Extended Spectrum Beta Lactamase (ESBL) generating isolates. 
    <b>Results:</b> The prevalence of Urinary Tract Infection was 11% (n = 294). Prevalence was significantly higher in those with a mean Random Blood Sugar (RBS) of &gt;190 g/dl (13.1%) than in those with a mean RBS of ≤190 g/dl (X
    <sup>2</sup>: p = 0.029). The prevalence of UTIs was also significantly higher among traders (29%, X
    <sup>2</sup>: p = 0.019) than among employed (16.6%) and unemployed (7.2%) participants. UTI prevalence was significantly higher among those with type 2 diabetes between 5 and 10 years since medical diagnosis (17%, X
    <sup>2</sup>: p = 0.029) than among those diagnosed &lt; 5 years. The most isolated bacteria were E. coli (43.8%), Klebsiella spp. (34.4%), and Enterobacter spp. (12.5%). E. coli exhibited the highest level of antibiotic resistance, including resistance to 3
    <sup>rd</sup> generation Cephalosporin. Phenotypic ESBL confirmatory test showed 62.5% of the E. coli being positive for ESBL production. 
    <b>Conclusion:</b> UTIs were common in type 2 diabetics, especially in those with &gt;190 g/dl mean RBS. There was a concerning 62.5% ESBL-producing E. coli that were resistant to antibiotics, which is a serious threat to public health. Thus, regular UTI screening and AST should be utilized before prescription to facilitate Antibiotic resistance surveillance and promote early diagnosis, treatment, and infection control.
   </abstract>
   <kwd-group> 
    <kwd>
     Diabetes
    </kwd> 
    <kwd>
      Immunity
    </kwd> 
    <kwd>
      Urinary Tract Infections
    </kwd> 
    <kwd>
      Antibiotic Resistance
    </kwd> 
    <kwd>
      Phenotypic Confirmatory Disc Diffusion Test (PCDDT)
    </kwd> 
    <kwd>
      Beta-Lactamase
    </kwd> 
    <kwd>
      Extended Spectrum Beta-Lactams (ESBL)
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Diabetes is a severe, chronic metabolic disease characterized by high blood glucose levels <xref ref-type="bibr" rid="scirp.141173-1">
     [1]
    </xref>. Diabetes is one of the fastest-growing global health crises of the 21<sup>st</sup> century <xref ref-type="bibr" rid="scirp.141173-1">
     [1]
    </xref> <xref ref-type="bibr" rid="scirp.141173-2">
     [2]
    </xref>. It is estimated that the number of people with diabetes in Africa will rise by 143% (47 million) by 2045 from 19.4 million among adults <xref ref-type="bibr" rid="scirp.141173-2">
     [2]
    </xref>. This is the highest predicted increase among all regions of the world <xref ref-type="bibr" rid="scirp.141173-2">
     [2]
    </xref>. About 7% (366,200) of deaths in 2019 were associated with diabetes <xref ref-type="bibr" rid="scirp.141173-2">
     [2]
    </xref>. In Malawi, the overall prevalence among adults was reported to be 5.6% by 2014 <xref ref-type="bibr" rid="scirp.141173-3">
     [3]
    </xref>. Age-sex-standardized prevalence of diabetes was 6.5%, and 4.7% in males and females respectively <xref ref-type="bibr" rid="scirp.141173-3">
     [3]
    </xref>.</p>
   <p>Infectious diseases are a major comorbidity in people living with type 2 diabetes mellitus because diabetes impacts negatively on the immune system <xref ref-type="bibr" rid="scirp.141173-4">
     [4]
    </xref>. This is due to the sustained hyperglycemia that impairs the general immune system in people with diabetes through various pathways that lead to an immune-compromised state <xref ref-type="bibr" rid="scirp.141173-5">
     [5]
    </xref>. The exponential increase in diabetes mellitus populations significantly contributes to increased hospitalizations <xref ref-type="bibr" rid="scirp.141173-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.141173-7">
     [7]
    </xref>. Despite the recent advances in medicine to keep the glucose levels of people with diabetes under control; it is still a major concern that infections continue to cause substantial morbidity and mortality in type 2 diabetes mellitus <xref ref-type="bibr" rid="scirp.141173-7">
     [7]
    </xref>. Bacteria are among the common etiological agents. Studies have reported a high prevalence of E. coli, and Klebsiella spp among urinary tract infections in type 2 diabetic patients <xref ref-type="bibr" rid="scirp.141173-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.141173-9">
     [9]
    </xref>. Although there have been substantial studies carried out around the world concerning type 2 diabetics, studies that have utilized advanced methods in Africa are few and these have mostly been conducted outside Sub-Saharan Africa such as in Egypt <xref ref-type="bibr" rid="scirp.141173-10">
     [10]
    </xref>. The studies done in Sub-Saharan Africa hsave shown a range of 20% to 39% percent prevalence of urogenital infections in diabetes and the incidence is more than double compared to people without diabetes <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref>-<xref ref-type="bibr" rid="scirp.141173-14">
     [14]
    </xref>. These studies have led to various improved interventions in the fight to prevent and control infections in people with diabetes. However, it is evident that as the cases of diabetes increase, the infection rate that is associated with drug-resistant pathogens also increases <xref ref-type="bibr" rid="scirp.141173-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.141173-15">
     [15]
    </xref>. Resistance to a range of antibiotics which include beta-lactams and non-beta-lactams has been reported <xref ref-type="bibr" rid="scirp.141173-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref>. Resistance to antimicrobials would eventually diabetic populations susceptible to an increased risk of persistent and recurrent infections resulting in higher medical costs, poor quality of life as well as increased mortality and morbidity.</p>
   <p>Urinary tract infections are more frequent in people living with diabetes mellitus than in those without diabetes <xref ref-type="bibr" rid="scirp.141173-15">
     [15]
    </xref>. Presently, there is evidence that the prevalence of type 2 diabetes mellitus is substantially growing each year <xref ref-type="bibr" rid="scirp.141173-2">
     [2]
    </xref> <xref ref-type="bibr" rid="scirp.141173-16">
     [16]
    </xref> and most of the reported infections associated with these populations are developing multidrug resistance <xref ref-type="bibr" rid="scirp.141173-9">
     [9]
    </xref>. Bacterial uropathogens are significant contributors to disease and disability in type 2 diabetes mellitus patients <xref ref-type="bibr" rid="scirp.141173-17">
     [17]
    </xref>.</p>
   <p>In Sub-Saharan Africa, some studies have reported varying prevalences of uropathogens in people with type 2 diabetes with increased resistance to commonly used antibiotics being reported <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.141173-14">
     [14]
    </xref>. However, studies on the same are short in Malawi. The increased prevalence of uropathogens as well as their increased resistance to medication has overall translated into over-prescription of drugs, resulting in ineffective treatment and more drug resistance <xref ref-type="bibr" rid="scirp.141173-10">
     [10]
    </xref>. This consequently translates to a poor quality of life for people living with diabetes i.e. poor disease prognosis, increased length and frequency of hospitalization, and increased disease-related costs. Therefore, there was a need for more studies to be conducted to generate relevant information on the spectrum of etiologies of infections, and phenotypic and genomic characteristics of bacterial uropathogens associated with disease in people with type 2 diabetes in Sub-Saharan Africa and indeed in Malawi.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <p>Study design, site, and population</p>
   <p>This was a cross-sectional study conducted at Mzuzu Central Hospital a referral Hospital in Mzuzu City, Malawi’s northern region in South-East Africa. Demographic data on persons living with type 2 diabetes were collected and associations between the independent variables and dependent variables were determined. A total of 294 consenting participants above 18 with type 2 diabetes and without any other immunocompromising condition were recruited for this study.</p>
   <p>Data and sample collection</p>
   <p>A structured questionnaire was used to collect socio-demographic data such as gender, age, ethnicity, marital status, and occupation. It was also used to record information on Ethnicity and medical history such as duration of diabetes and medication. Each type 2 diabetic participant was instructed on how to collect a “clean-catch” mid-stream urine into sterile leak-proof containers.</p>
   <p>Laboratory analysis</p>
   <p>Urine samples from type 2 diabetic participants underwent a chain of laboratory tests to grow, isolate, and identify Gram-negative bacteria that cause Urinary Tract Infections. The tests included bacterial culture, gram staining, bacterial subculture, biochemical tests (Indole, TSI, Citrate, Urease), Kirby Bauer disc diffusion antimicrobial susceptibility test, and ESBL testing following the standard procedures as described by clinical laboratory standard Institute (CLSI) <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>.</p>
   <p>Urine culture for bacteria</p>
   <p>The urine samples were cultured on a standard 60 × 15 mm cysteine lactose electrolyte deficient (CLED) agar (Oxoid, UK) plate prepared by the manufacturing company’s instructions, leaving a single streak across the center, and then spread the inoculum evenly distributed in a cross-zigzag pattern to the primary streak. The culture plates were incubated at 37˚C for 18 - 24 hours <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>. After which they were observed for growth. Bacterial growth of ≥10<sup>5</sup> CFU/ml (colony-forming unit per milliliter) was indicative of significant growth <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>.</p>
   <p>Identification of bacteria</p>
   <p>Bacteria identification from pure culture plates was based on colonial morphology, staining and biochemical tests. A representative colony on each plate was picked, Gram-stained, and further tested using sugar fermentation TSI, Indole, Citrate, Oxidase, and Urease biochemical tests <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>. Furthermore, the identification of gram-negative species was performed by Matrix-assisted Laser Desorption/Ionization Time of Flight (MALDI-TOF) mass spectrometry (Vitek, biomerieux).</p>
   <p>Antibiotic Susceptibility Testing (AST)</p>
   <p>Antibiogram was conducted by the Kirby-Bauer disc diffusion method from pure bacterial colonies emulsified in saline and then compared with 0.5 McFarland standard <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>. The suspension was inoculated on a dried surface of the Mueller-Hinton agar plate (Oxoid) and the following commercially available antibiotics were applied on inoculated Mueller-Hinton agar plates: ampicillin (30 μg), cefotaxime (30 μg), ceftriaxone (30 μg), ceftazidime (30 µg), ciprofloxacin (30 μg), gentamicin (30 μg) (Oxoid, UK). After, 18 - 24 hours of incubation at 37˚C, zones of growth of inhibition were measured using a caliper and interpreted as per the Clinical Laboratory Standard Institute guidelines (CLSI) <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>.</p>
   <p>Phenotypic confirmatory disc diffusion test (PCDDT)</p>
   <p>All E. coli isolates with reduced susceptibility to 3<sup>rd</sup> generation cephalosporin (cefotaxime, ceftazidime, or ceftriaxone) were selected for a phenotypic Extended Spectrum Beta-Lactamase (ESBL) confirmatory test following the CLSI 2019 guidelines <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>. Mueller-Hinton agar was inoculated with test organisms and after inoculation, a combination of cefotaxime (30 μg), cefotaxime plus clavulanic acid (30 μg/10μg) and ceftadizime (30 μg), ceftadizime plus clavulanic acid (30 μg /10μg) (Oxoid, UK) were placed 20 mm apart from center disc. Inoculated plates were incubated aerobically at 37˚C for 18 - 24 hours. According to CLSI (2019) <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref> criteria, the formation of ESBL was indicated by an inhibition zone of ≥5 mm between cefotaxime plus clavulanic acid and cefotaxime, or between ceftadizime and ceftadizime plus clavulanic acid and ceftadizime <xref ref-type="bibr" rid="scirp.141173-18">
     [18]
    </xref>. Klebsiella pneumoniae ATCC 700603, and E. coli ATCC 25922 were used as positive and negative controls respectively.</p>
   <p>Statistical analysis and presentation</p>
   <p>Data were analyzed using Stata SE 15.1. For socio-demographic categorical data (e.g. gender, age group, ethnicity), summary tables of counts and percentages were presented and for continuous variables, mean and standard deviations were presented after testing for normality. Bivariate analysis using Pearson’s Chi-square test was used to determine factors associated with Urinary Tract Infections. A P-value of less than 0.05 (p- &lt; 0.05) denoted statistical significance.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <p>Demographics of participants</p>
   <p>The study recruited 294 participants. The majority of participants were females (54%) compared to Males (46%). The mean age was 55 years (age range; of 19 - 93 years). The highest level of education was between primary and secondary for the majority of participants with 45% and 39% respectively with the least being tertiary education level (9%). With regards to the duration of type 2 diabetes since diagnosis, the majority of participants were those diagnosed with type 2 diabetes between 5 - 10 years (41%) followed by those diagnosed with type 2 diabetes for less than 5 years since diagnosis (37%), and the least representation from those with diabetes for more than 10 years (22%). Most participants were in the category of having a mean random blood sugar (RBS) level of &gt;190 g/dl (63%) than those with a mean RBS ≤ 190 g/dl (37%). In terms of occupation, most participants were unemployed (70%), followed by those employed (14%), with traders representing 10% of the participants and Artisans, and Students representing 6% of participants. Furthermore, in terms of marital status most participants were married (69.4%) followed by widows/widowers (22.4%), and the least were those who were single/divorced/separated (8.2%). In terms of ethnicity, most participants were Tumbukas (68%) compared to Chewas and other ethnic groups (Tonga/Ngonde/ Yao) with 18% and 14% respectively as shown in <xref ref-type="table" rid="table1">
     Table 1
    </xref>.</p>
   <p>Prevalence of Urinary Tract Infections in type 2 diabetes</p>
   <p>An overall Urinary Tract Infection prevalence of 11% (n = 294) was established. Prevalence was higher in female participants (13.2%) than in male participants (8.1%). With regards to the period of type 2 diabetes since diagnosis; those with 5 - 10 years had the highest prevalence of Urinary Tract Infections (16.7%) followed by those with less than 5 years since diagnosis (7%) and the least Urinary Tract Infection prevalence was observed in those who had been diagnosed over 10 years with 6.2%. The prevalence was higher in those with a mean random blood sugar (RBS) level of &gt;190 g/dl (13.1%) than those with a mean RBS ≤ 190 g/dl. The prevalence of Urinary Tract Infections was also higher in traders (28.6%) compared to the employed (16.6%), unemployed (7.2%), Artisans, and Students (11%). Equally, there was a higher prevalence of Urinary Tract Infections (12.1%) in those aged over 65 years, followed by those between 36 - 50 years of age with a</p>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141173-"></xref>Table 1. Demographics.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td aleft" width="55.47%"><p style="text-align:left">Socio-demographic Characteristics</p></td> 
      <td class="custom-bottom-td acenter" width="31.53%"><p style="text-align:center">Number of participants (%)</p></td> 
      <td class="custom-bottom-td acenter" width="12.99%"><p style="text-align:center">n = 294</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="55.47%"><p style="text-align:left">Gender</p></td> 
      <td class="custom-top-td acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Male</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">135 (46)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Female</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">159 (54)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">mean RBS</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">≤190 g/dl</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">109 (37)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">&gt;190 g/dl</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">185 (63)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Period with Diabetes</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">&lt;5 years</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">109 (37)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">5 - 10 years</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">120 (41)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">&gt;10 years</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">65 (22)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Occupation</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Unemployed</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">206 (70)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Employed</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">42 (14)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Trader</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">28 (10)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Other (Artisan/Student)</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">18 (6)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Age Groups (years)</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">19 - 35</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">30 (10)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">36 - 50</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">85 (29)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">51 - 65</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">113 (38.5)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">&gt;65</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">66 (22.5)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Marital Status</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Married</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">204 (69.4)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Widow/Widower</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">66 (22.4)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Single/Divorced/Separated</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">24 (8.2)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Level of education</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">No formal/Primary</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">153 (52)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Secondary</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">116 (39)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Tertiary</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">25 (9)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Ethnicity</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Tumbuka</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">200 (68)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Chewa</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">53 (18)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="55.47%"><p style="text-align:left">Other (Tonga/Ngonde/Yao)</p></td> 
      <td class="acenter" width="31.53%"><p style="text-align:center">42 (14)</p></td> 
      <td class="acenter" width="12.99%"><p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Urinary Tract Infections prevalence of 11.8% and the least prevalence Urinary Tract Infections of 9.7% in the 51 - 65 year age group. In terms of marital status, the highest prevalence was observed in widows/widowers (12.1%) followed by the married (11.8%), and least in those who were single/divorced/separated (4.2%). Those with no formal/only attained primary education (11.8%) had the highest prevalence compared to those who had attained secondary (10%) and tertiary (8%) education. In terms of ethnicity, the prevalence of Urinary Tract Infections, was also higher in Tumbukas (12.5%) compared to Chewas (3.8%) and other Ethnic groups (Tonga/Ngonde/Yao) 11.9%, as shown in <xref ref-type="table" rid="table2">
     Table 2
    </xref>.</p>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141173-"></xref>Table 2. Prevalence of urinary tract infections in various demographics.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="aleft" width="42.73%"><p style="text-align:left">Demographic characteristics</p></td> 
      <td class="custom-bottom-td acenter" width="36.54%" colspan="2"><p style="text-align:center">Number of participants</p></td> 
      <td rowspan="2" class="acenter" width="20.73%"><p style="text-align:center">UTI prevalence%</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.96%"><p style="text-align:center">With UTIs</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.58%"><p style="text-align:center">Without UTIs</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="42.73%"><p style="text-align:left">Overall</p></td> 
      <td class="custom-top-td acenter" width="16.96%"><p style="text-align:center">32</p></td> 
      <td class="custom-top-td acenter" width="19.58%"><p style="text-align:center">262</p></td> 
      <td class="custom-top-td acenter" width="20.73%"><p style="text-align:center">11</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Gender</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Male</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">11</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">124</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">8.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Female</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">21</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">138</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">13.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Average RBS</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">≤190 g/dl</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">4</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">105</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">3.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">&gt;190 g/dl</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">28</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">157</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">15.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Period with Diabetes</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">&lt;5 years</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">101</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">7.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">5 - 10 years</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">20</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">100</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">16.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">&gt;10 years</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">4</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">61</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">6.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Occupation</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Unemployed</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">15</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">191</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">7.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Employed</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">7</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">35</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">16.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Trader</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">20</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">28.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Other (Artisan/Student)</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">16</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">11.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Age Groups (years)</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">19 - 35</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">27</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">10.0</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">36 - 50</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">10</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">75</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">11.8</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">51 - 65</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">11</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">102</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">9.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">&gt;65</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">58</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">12.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Marital Status</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Married</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">23</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">181</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">11.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Widow/Widower</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">58</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">12.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Single/Divorced/Separated</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">1</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">23</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">4.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Level of education</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">No formal/Primary</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">18</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">135</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">11.8</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Secondary</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">12</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">104</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">10.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Tertiary</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">23</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">8.0</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Ethnicity</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Tumbuka</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">25</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">175</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">12.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Chewa</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">51</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">3.8</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="42.73%"><p style="text-align:left">Other (Tonga/Ngonde/Yao)</p></td> 
      <td class="acenter" width="16.96%"><p style="text-align:center">5</p></td> 
      <td class="acenter" width="19.58%"><p style="text-align:center">37</p></td> 
      <td class="acenter" width="20.73%"><p style="text-align:center">11.9</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Distribution of positive culture results by demographic characteristics</p>
   <p>The majority of isolates were recovered from female participants compared to males with 65.6%, (n = 32) and 34.4% (n = 32) in female and male patients respectively. Participants aged between 51 and 65 years had the highest prevalence (34.3%) of Urinary Tract Infections and the least prevalence was in the 19-35-year-age group with 9.4% of the isolates recovered. Most isolates (56.3%) were recovered from those who had no formal education or had only attained primary education with the least recovered from those with tertiary education (6.3%). In terms of marital status, 72% of the isolates were recovered from Married participants with the least isolated from those single/separated/divorced at 3%. Most Isolates were recovered from the Tumbuka subjects and the least from the Tonga/Ngonde/Yao with regards to Ethnicity with 78% and 16% from the Tumbukas and Tonga/Ngonde/Yao respectively.</p>
   <p>Distribution of Bacteria isolates in Type 2 diabetic participants</p>
   <p>A total of 32 (11%) bacterial uropathogens were isolated from positive urine culture (≥10<sup>5</sup> CFU/ml) on which identification was conducted. E. coli was the most recovered isolate with 43.8% followed by Klebsiella spp. (34.4%), Enterobacter spp. (12.5%), Serratia spp (6.2%) and 3.1% Morganella spp., as shown in <xref ref-type="fig" rid="fig1">
     Figure 1
    </xref>.</p>
   <p>Antibiotic resistance pattern of isolates</p>
   <p>The highest level of antibiotic resistance to one of any of the antibiotics utilized was observed in 57% (n = 14) of E. coli isolates, followed by Enterobacter spp., 25% (n = 4) resistance and Klebsiella spp with 18% (n = 11) resistant to antibiotics. Among all the isolates, Morganella spp and Serratia spp showed no resistance to any of the antibiotics utilized in the study. However, multi-drug (antibiotic) resistance (MDR) was observed in all the resistant E. coli isolates. The majority of the E. coli isolates were resistant to Ampicillin with only 14% of isolates being sensitive. However, the E. coli isolates were highly susceptible to Gentamicin with 100% sensitivity, followed by Ciprofloxacin with 86% sensitivity. Furthermore, at least half of the E. coli isolates were resistant to one or more of the 3<sup>rd</sup> generation cephalosporin antibiotics such as Ceftazidime and cefotaxime (with 43% and 50% sensitivity for the antibiotics respectively), as shown in <xref ref-type="table" rid="table3">
     Table 3
    </xref>.</p>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>Figure 1. Percentage distribution of Bacteria isolates in type 2 diabetic subjects with a mean random Blood sugar (RBS) level of RBS ≤ 190 g/dl and &gt;190 g/dl.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2260655-rId14.jpeg?20250707110914" />
   </fig>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141173-"></xref>Table 3. Overall antibiotic susceptibility pattern of E coli isolates.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="acenter" width="40.58%"><p style="text-align:center">Antibiotic name</p></td> 
      <td class="custom-bottom-td acenter" width="43.73%" colspan="2"><p style="text-align:center">Number of samples (%)</p></td> 
      <td rowspan="2" class="acenter" width="15.69%"><p style="text-align:center">n = 14</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="28.04%"><p style="text-align:center">Resistant</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="15.69%"><p style="text-align:center">Susceptible</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="40.58%"><p style="text-align:center">Gentamicin (CN)</p></td> 
      <td class="custom-top-td acenter" width="28.04%"><p style="text-align:center">0 (0)</p></td> 
      <td class="custom-top-td acenter" width="15.69%"><p style="text-align:center">14 (100)</p></td> 
      <td class="custom-top-td acenter" width="15.69%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="40.58%"><p style="text-align:center">Ampicillin (AMP)</p></td> 
      <td class="acenter" width="28.04%"><p style="text-align:center">12(86)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center">2 (14)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="40.58%"><p style="text-align:center">Ciprofloxacin (CIP)</p></td> 
      <td class="acenter" width="28.04%"><p style="text-align:center">2 (14)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center">12 (86)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="40.58%"><p style="text-align:center">Cefotaxime (CTX)</p></td> 
      <td class="acenter" width="28.04%"><p style="text-align:center">7(50)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center">7 (50)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="40.58%"><p style="text-align:center">Ceftazidime (CAZ)</p></td> 
      <td class="acenter" width="28.04%"><p style="text-align:center">8 (57)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center">6(43)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="40.58%"><p style="text-align:center">Ceftriaxone (CRO)</p></td> 
      <td class="acenter" width="28.04%"><p style="text-align:center">3 (21)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center">11 (79)</p></td> 
      <td class="acenter" width="15.69%"><p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Phenotypic beta-lactamase production in E. coli isolates</p>
   <p>The Combined disc diffusion test showed that 63% (n = 8) of the E. coli isolates which were resistant to 3<sup>rd</sup> generation cephalosporins were positive for ESBL production. Thus, regarded as having the genes that code for enzymes (beta-lactamase) thus, having capability of producing one or more of the extended spectrum beta-lactamases (ESBL) that cause beta lactam antibiotic resistance including resistance to 3<sup>rd</sup> generation cephalosporins.</p>
   <p>Association between UTIs and independent variables</p>
   <p>In this study an overall UTIs prevalence of 11% (n = 294) was established. The prevalence was significantly higher in those with a mean random blood sugar (RBS) level of &gt;190 g/dl (13.1%) than those with a mean RBS ≤ 190 g/dl (X<sup>2</sup>, p value = 0.029). The prevalence of UTIs was also significantly higher in traders (29%, p value = 0.019) compared to the employed (16.6%), unemployed (7.2%), Artisans, and Students (11%). Equally, there was a significant prevalence of UTIs in those who had lived with diabetes between 5 and 10 years (17%, X<sup>2</sup>, p value = 0.029) since diagnosis compared to those who had lived with Type 2 diabetes for less than 5 years.</p>
   <p>Prevalence of UTIs was higher in female participants compared to males with 65.6% and 34.4% in female and male patients respectively. In terms of age groups; participants aged between 51 - 65 years had the highest prevalence of UTIs (34.3%) and the least prevalence was in the 19 - 35 years age group with 9.4% of the isolates recovered. Furthermore, most isolates (56.3%) were recovered from those who had no formal education or had only attained primary education with the least recovered from those with tertiary education (6.3%). Concerning marital status, 72% of the isolates were recovered from Married participants with the least isolated from those single/Separated/divorced at 3%. A majority of Isolates were recovered from the Tumbuka subjects and the least from the Tonga/Ngonde/Yao when it came to Ethnicity with 78% and 16% from the Tumbukas and Tonga/Ngonde/Yao respectively. However, age, gender, Level of education, ethnicity, and marital status were not significant contributors to the UTI prevalence.</p>
   <p>Furthermore, at least half of the E. coli isolates were resistant to one or more 3<sup>rd</sup> generation cephalosporin antibiotics such as Ceftazidime and cefotaxime (with 43% and 50% sensitivity for the antibiotics respectively). However, these differences in resistance patterns between isolates from the various demographics and other categories assigned in this study were not statistically significant, as shown in <xref ref-type="table" rid="table4">
     Table 4
    </xref>.</p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141173-"></xref>Table 4. Association between UTI and age, gender, Glucose levels, duration of diabetes, level of education, ethnicity and marital status.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="aleft" width="45.01%"><p style="text-align:left">Socio-demographic Characteristics</p></td> 
      <td class="custom-bottom-td acenter" width="41.54%" colspan="3"><p style="text-align:center">Number of participants (%)</p></td> 
      <td class="custom-bottom-td acenter" width="13.45%"><p style="text-align:center">n = 294</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="14.35%"><p style="text-align:center">With UTIs</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="15.19%"><p style="text-align:center">Without UTIs</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.00%"><p style="text-align:center">Total</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="13.45%"><p style="text-align:center">X<sup>2</sup>:p-Value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="45.01%"><p style="text-align:left">Gender</p></td> 
      <td class="custom-top-td acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Male</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">11</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">124</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">135 (46)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">0.159</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Female</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">21</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">138</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">159 (54)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">0.159</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Average RBS</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">≤190 g/dl</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">4</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">105</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">109 (37)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">&gt;190 g/dl</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">28</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">157</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">185 (63)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">0.002</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Period with Diabetes</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">&lt;5 years</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">101</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">109 (37)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">5 - 10 years</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">20</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">100</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">120 (41)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">0.029</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">&gt;10 years</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">4</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">61</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">65 (22)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Occupation</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Unemployed</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">15</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">191</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">206 (70)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Employed</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">7</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">35</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">42 (14)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Trader</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">20</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">28 (10)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">0.019</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Other (Artisan/Student)</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">16</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">18 (6)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Age Groups (years)</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">19 - 35</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">27</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">30 (10)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">36 - 50</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">10</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">75</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">85 (29)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">51 - 65</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">11</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">102</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">113 (38.5)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">&gt;65</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">58</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">66 (22.5)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Marital Status</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Married</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">23</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">181</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">204 (69.4)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Widow/Widower</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">8</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">58</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">66 (22.4)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Single/Divorced/Separated</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">1</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">23</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">24 (8.2)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Level of education</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">No formal/Primary</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">18</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">135</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">153 (52)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Secondary</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">12</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">104</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">116 (39)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Tertiary</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">23</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">25 (9)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Ethnicity</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Tumbuka</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">25</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">175</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">200 (68)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Chewa</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">51</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">53 (18)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="45.01%"><p style="text-align:left">Other (Tonga/Ngonde/Yao)</p></td> 
      <td class="acenter" width="14.35%"><p style="text-align:center">5</p></td> 
      <td class="acenter" width="15.19%"><p style="text-align:center">37</p></td> 
      <td class="acenter" width="12.00%"><p style="text-align:center">42(14)</p></td> 
      <td class="acenter" width="13.45%"><p style="text-align:center">&gt;0.05</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>Prevalence of Urinary Tract Infections by demographic characteristics</p>
   <p>The majority of isolates were recovered from female participants compared to males with 65.6% (n = 32) and 34.4% (n = 32) in female and male patients respectively. A study conducted by Gutema found gender to be a significant risk factor in the prevalence of urinary tract infections of bacterial etiology <xref ref-type="bibr" rid="scirp.141173-19">
     [19]
    </xref>. However, in this study, gender had no significant association with the prevalence of urinary tract infections in type 2 diabetes. This finding is supported by other research that found gender not to be a significant risk factor for the occurrence of urinary tract infections <xref ref-type="bibr" rid="scirp.141173-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.141173-15">
     [15]
    </xref> <xref ref-type="bibr" rid="scirp.141173-20">
     [20]
    </xref> <xref ref-type="bibr" rid="scirp.141173-21">
     [21]
    </xref>. This could be explained by previous research showing that women seek medical attention more often than males, thus, leading to higher recruitment of women for health-related studies <xref ref-type="bibr" rid="scirp.141173-22">
     [22]
    </xref>-<xref ref-type="bibr" rid="scirp.141173-24">
     [24]
    </xref>. This was also the case in this study with the majority of participants being female.</p>
   <p>The prevalence of UTIs was significantly higher in those with a mean random blood sugar (RBS) level of &gt;190 g/dl (13.1%) than in those with a mean RBS ≤ 190 g/dl. The prevalence of Urinary Tract Infections was also significantly higher in traders (29%, p value = 0.019) compared to the employed (16.6%), unemployed (7.2%), Artisans, and Students (11%). Equally, there was a significant prevalence of Urinary Tract Infections in those who had lived with diabetes between 5 and 10 years (17%, P value = 0.029) since diagnosis compared to those who had lived with type 2 diabetes for less than 5 years. This finding is comparable with other findings of a systematic review and meta-analysis conducted in Addis Ababa, Ethiopia <xref ref-type="bibr" rid="scirp.141173-25">
     [25]
    </xref>. This association is explained by the ability of microorganisms to thrive better in a hyperglycemic environment <xref ref-type="bibr" rid="scirp.141173-26">
     [26]
    </xref>. Furthermore, Diabetes’ effects on the immune system include impaired immune responses within the hyperglycemic state of an individual <xref ref-type="bibr" rid="scirp.141173-26">
     [26]
    </xref>; lower production of interleukins in response to infections; reduced chemotaxis and phagocytic activity, immobilization of poly-morphonuclear leukocytes; glycosuria and gastrointestinal and urinary dysmotility <xref ref-type="bibr" rid="scirp.141173-27">
     [27]
    </xref>. Uncontrolled blood glucose levels result in shedding glucose in the urine, providing a conducive environment for bacteria growth in the urinary tract <xref ref-type="bibr" rid="scirp.141173-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.141173-28">
     [28]
    </xref>.</p>
   <p>Older (≥50 years) participants had a higher prevalence of Urinary Tract Infections with females aged 50 - 54 years having the highest prevalence of Urinary Tract Infections (35%) with the least prevalence being in the younger age groups under 35 years. These findings agree with those from Iran and Ethiopia that reported an increased prevalence of Urinary Tract Infections in older age groups among type 2 diabetic patients that is associated with poor control of diabetes as age advances <xref ref-type="bibr" rid="scirp.141173-19">
     [19]
    </xref> <xref ref-type="bibr" rid="scirp.141173-28">
     [28]
    </xref>. This was also the case in this study, as younger age groups and those with the least duration of diabetes had more controlled levels of blood glucose and lower prevalence of UTIs. However, there was no significant association between age, duration of diabetes, and UTIs prevalence, this is in line with other studies conducted in Ghana and Iran <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.141173-28">
     [28]
    </xref>. Concerning education, most isolates (56.3%) were recovered from those who had no formal education or had only attained primary education with the least recovered from those with tertiary education. In terms of marital status, 72% of the isolates were recovered from Married participants with the least isolated from those single/Separated/divorced at 3%. A majority of Isolates were recovered from the Tumbuka subjects and the least from the Tonga/Ngonde/Yao when it came to Ethnicity with 78% and 16% from the Tumbukas and Tonga/Ngonde/Yao respectively. However, age, gender, Level of education, ethnicity, and marital status were not significant contributors to the UTI prevalence.</p>
   <p>Antibiotic susceptibility pattern of E. coli and treatment considerations</p>
   <p>The findings from this study showed a high prevelance of urinary tract infections coupled with high resistance rates to antibiotics commonly used for treatment, which is also similar to other studies conducted in sub-Saharan Africa <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref>. Despite the prevalence and resistance trend being high in type 2 diabetes, the recommended first-line treatment and duration of antibiotics for urinary tract infections is similar to that of other patients <xref ref-type="bibr" rid="scirp.141173-15">
     [15]
    </xref>. Some studies, based on the findings that prevalence and antibiotic resistance is substantially higher in type 2 diabetics, have argued that patients with type 2 diabetes should receive a variation of antibiotics and longer antibiotic treatment than patients without diabetes mellitus for effective and successful therapy <xref ref-type="bibr" rid="scirp.141173-29">
     [29]
    </xref>. The choice of antibiotics in patients with type 2 diabetes also needs to consider possible drug interactions that could cause impaired glucose homeostasis <xref ref-type="bibr" rid="scirp.141173-30">
     [30]
    </xref>-<xref ref-type="bibr" rid="scirp.141173-32">
     [32]
    </xref>. Furthermore, dosage adjustment is also required for some antimicrobial agents in type 2 diabetes patients with renal impairment <xref ref-type="bibr" rid="scirp.141173-33">
     [33]
    </xref>. This study found gentamicin (84.2% susceptibility) and fluoroquinolones (84.2% to 86.8% susceptibility) effective against E. coli. Thus, these antibiotics could be utilized in treating UTIs of E. coli etiology. These findings align with findings from other studies carried out in southern Nigeria and Ethiopia with E. coli sensitivity ranging from 80% to 93% to fluoroquinolones and gentamicin <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.141173-34">
     [34]
    </xref> <xref ref-type="bibr" rid="scirp.141173-35">
     [35]
    </xref>. On the other hand, a study conducted by Naqid observed an extreme susceptibility of uropathogenic E. coli to ciprofloxacin in Iraq <xref ref-type="bibr" rid="scirp.141173-36">
     [36]
    </xref>, while high susceptibility of E. coli to gentamicin and cefotaxime were shown in a study conducted in Tunisia <xref ref-type="bibr" rid="scirp.141173-37">
     [37]
    </xref>. The highest level of antibiotic resistance to one of any of the antibiotics utilized was observed in E. coli isolates (57%; n = 14), followed by Enterobacter (25%; n = 4) resistance and Klebsiella spp. (18%; n = 11) resistant to antibiotics. Among all the isolates, Morganella spp and Serratia spp showed no resistance to any of the antibiotics utilized in the study. E. coli isolates were highly susceptible to gentamicin with 100% sensitivity, followed by ciprofloxacin with 86% sensitivity. However, multi-drug (antibiotic) resistance (MDR) was observed in all the resistant E. coli isolates. Most of the E. coli isolates were resistant to ampicillin, with only 14% being sensitive. Some E. coli isolates were resistant to one or more of the 3<sup>rd</sup> generation cephalosporin antibiotics such as ceftazidime and cefotaxime (with 43% and 50% sensitivity for the antibiotics respectively). The resistance could be attributed to overuse, abuse, poor compliance to treatment, and use of suboptimal drugs <xref ref-type="bibr" rid="scirp.141173-38">
     [38]
    </xref> <xref ref-type="bibr" rid="scirp.141173-39">
     [39]
    </xref> <xref ref-type="bibr" rid="scirp.141173-40">
     [40]
    </xref>. One of the major resistance mechanisms is by the production of ESBL enzymes that hydrolyze the antibiotics <xref ref-type="bibr" rid="scirp.141173-41">
     [41]
    </xref>. However, these differences in resistance patterns between isolates from the various demographic and other categories assigned in this study were not statistically significant.</p>
   <p>ESBL-producing E. coli and multi-antibiotic resistance</p>
   <p>The confirmatory disc diffusion test showed that E. coli isolates that were resistant to 3<sup>rd</sup> generation cephalosporins tested positive for ESBL production, thus regarded as having the genes that code for enzymes (beta-lactamases), therefore, having the capability of producing one or more of the extended-spectrum beta-lactamases that cause beta-lactam antibiotic resistance including resistance to 3<sup>rd</sup> generation cephalosporins. Similar findings were reported by Ugwu in southern Nigeria, where a tertiary care facility’s outpatient urine samples contained a significant concentration of E. coli strains that produced an extended-spectrum band <xref ref-type="bibr" rid="scirp.141173-35">
     [35]
    </xref>. The high level (86%) found in this study is comparable with reports of 30% - 90% of ESBL-producing E. coli from various countries <xref ref-type="bibr" rid="scirp.141173-42">
     [42]
    </xref>-<xref ref-type="bibr" rid="scirp.141173-45">
     [45]
    </xref>. Additionally, high levels of resistance by E. coli were reported in systematic reviews by Carrillo-Larco in 2021 and Salari in 2022 <xref ref-type="bibr" rid="scirp.141173-25">
     [25]
    </xref> <xref ref-type="bibr" rid="scirp.141173-46">
     [46]
    </xref>. These reports particularly highlighted that resistance was linked to the production and utilization of ESBL enzymes <xref ref-type="bibr" rid="scirp.141173-25">
     [25]
    </xref> <xref ref-type="bibr" rid="scirp.141173-46">
     [46]
    </xref>. These ESBL genes can be spread horizontally (carried on plasmids), making it easier for bacteria of different species to transmit resistance genes <xref ref-type="bibr" rid="scirp.141173-47">
     [47]
    </xref>. Because of this, empirical UTI therapy is difficult and has erratic results <xref ref-type="bibr" rid="scirp.141173-48">
     [48]
    </xref>. The results of other investigations in Ghana and Bangladesh, which showed higher multi-antibiotic resistance of up to 93% to routinely used antibiotics, are comparable to this study <xref ref-type="bibr" rid="scirp.141173-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.141173-49">
     [49]
    </xref>. Antibiotic usage and abuse, as well as the administration of less-than-ideal medications, have all been linked to the development of resistance <xref ref-type="bibr" rid="scirp.141173-39">
     [39]
    </xref> <xref ref-type="bibr" rid="scirp.141173-40">
     [40]
    </xref>. This might lead to greater treatment expenses, a bigger chance of complications, and a higher rate of morbidity and mortality.</p>
   <p>The high rates of resistance by ESBL-producing E. coli (86% of isolates) are a serious concern <xref ref-type="bibr" rid="scirp.141173-25">
     [25]
    </xref>. Numerous studies from Sub-Saharan Africa have reported a high prevalence of ESBL-producing E. coli <xref ref-type="bibr" rid="scirp.141173-42">
     [42]
    </xref>-<xref ref-type="bibr" rid="scirp.141173-44">
     [44]
    </xref>. These observations tie in with the ones found in this study (86% ESBL E. coli), this entails a potential increase in ESBL and general MDR resistance with the increasing population of people with type 2 diabetes in Malawi. Therefore, it is critical to insist on antibiotic susceptibility testing before prescription. Curbing this serious threat to public health would need strategies to block the spread of resistant uropathogenic bacteria in both the lower-risk and higher categories of these type 2 diabetic individuals who have demonstrated a high prevalence of UTIs.</p>
  </sec><sec id="s5">
   <title>5. Conclusion and Recommendations</title>
   <p>According to this study, type 2 diabetic patients had a significant prevalence of UTIs of bacterial etiology, particularly those with higher mean Random Blood Sugar levels (&gt;190 g/dl). The phenotypic analysis found a concerning 62.5% ESBL-producing E. coli. Additionally, the ESBL-producing E. coli had high resistance levels to several antibiotics. This presents a serious public health threat that calls for well-informed solutions. Therefore, it is recommended that antibiotics be judiciously used by utilizing antimicrobial susceptibility testing before prescription, encouraging standard prescribing practices, and sufficient patient education on the use of antibiotics and the growing trend of antibiotic resistance. The findings of this study have demonstrated the significance of combining phenotypic methods with routine testing for antibiotic sensitivity to gain a deeper understanding of the basic components of antibiotic resistance in settings with limited resources. Thus, tests for common ESBL-producing strains are required.</p>
  </sec><sec id="s6">
   <title>6. Study Limitations</title>
   <p>Due to resource constraints, ESBL tests were only done on E. coli isolates. Therefore, subsequent studies may focus on ESBL characterization of all uropathogens to establish a broader range of knowledge on bacteria that are resistant to antibiotics by coding for these enzymes.</p>
  </sec><sec id="s7">
   <title>Ethics Statement</title>
   <p>The study project was authorized by MZUNIREC and issued a clearance certificate (Ref No. MZUNIREC/DOR/23/34). Additionally, official approval was requested from Mzuzu Central Hospital. The participants were asked for their informed consent by declaring it in writing.</p>
  </sec><sec id="s8">
   <title>Funding</title>
   <p>This research was supported by the Capacity Development of Applied Epidemiologists in the Eastern Africa Region (CDAE). This project is part of the European and Developing Countries Clinical Trials Partnership II (EDCTP2) Programme supported by the European Union. CDAE is jointly implemented by the African Population and Health Research Centre (APHRC), The Amref International University (AMIU) and the Jaramogi Oginga Odinga University of Science and Technology (JOOUST) and funded by the EDCTP2 (grant; CSA2020E-3139).</p>
  </sec><sec id="s9">
   <title>Acknowledgments</title>
   <p>We express our gratitude to everyone who helped to make this work possible.</p>
  </sec><sec id="s10">
   <title>Author Contribution</title>
   <p>Thomas Stuart Mughogho developed the concept and conducted analysis and interpretation of study findings. All co-authors contributed to the review and write-up of the manuscript.</p>
  </sec>
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