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    <journal-meta id="journal-meta-87cddb9ab7774ac9973b6a64b7cbc767">
      <journal-id journal-id-type="nlm-ta">Sciresol</journal-id>
      <journal-id journal-id-type="publisher-id">Sciresol</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">https://jmsh.ac.in/</journal-id>
      <journal-title-group>
        <journal-title>Journal of Medical Sciences and Health</journal-title>
      </journal-title-group>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta>
        
          
            <article-id pub-id-type="doi">10.58739/jcbs/v15i4.25.133</article-id>
          
          
            <article-categories>
              <subj-group>
                <subject>ORIGINAL ARTICLE</subject>
              </subj-group>
            </article-categories>
            <title-group>
              <article-title>&lt;p&gt;Surgical Site Infections: Socio-clinical, Microbiological and Antibiogram Profile at a Tertiary-Care Hospital in Eastern India&lt;/p&gt;</article-title>
            </title-group>
          
          
            <pub-date date-type="pub">
              <day>30</day>
              <month>3</month>
              <year>2025</year>
            </pub-date>
            <permissions>
              <copyright-year>2025</copyright-year>
            </permissions>
          
          
            <volume>15</volume>
          
          
            <issue>4</issue>
          
          <fpage>1</fpage>

          <abstract>
            <title>Abstract</title>
            &lt;p&gt;&lt;bold&gt;Background:&lt;/bold&gt; Surgical site infections (SSI) are estimated to be the most prevalent type of healthcare-associated infections, continuing to pose a significant source of morbidity, economic burden, and mortality. &lt;bold&gt;Aim:&lt;/bold&gt; This study aims to estimate the burden of SSI across various surgical specialties, risk factors, distribution of predominant pathogens, and their antibiogram at a tertiary-care hospital in Eastern India. &lt;bold&gt;Methodology:&lt;/bold&gt; This was a descriptive, cross-sectional study conducted over a period of 24 months, from January 2023 to February 2025. All SSI cases were included according to guidelines from the Centers for Disease Control and Prevention. Samples were collected, and organisms were identified and tested for antimicrobial susceptibility using the MicroScan WalkAway® plus system (Beckman Coulter, California, USA). SSI rates were calculated by dividing the number of SSIs by the number of operative procedures and multiplying the result by 100. &lt;bold&gt;Results:&lt;/bold&gt; Of total 6,628 surgeries, 358 cases were identified as SSI, resulting in a rate of 5.4%, with the majority occurring in the orthopaedics department. Smoking, anaemia, and diabetes mellitus were the most prevalent risk factors. Growth was observed in 87%, with &lt;emphasis&gt;Staphylococcus aureus&lt;/emphasis&gt; and &lt;emphasis&gt;Escherichia coli&lt;/emphasis&gt; being the predominant pathogens. Methicillin-resistant &lt;emphasis&gt;Staphylococcus aureus&lt;/emphasis&gt; (MRSA) accounted for 45%, and Vancomycin-resistant Enterococcus (VRE) was 20%. Among the Enterobacterales, 70% of &lt;emphasis&gt;Klebsiella spp&lt;/emphasis&gt;., 44% of &lt;emphasis&gt;Escherichia coli&lt;/emphasis&gt;, and 32% of &lt;emphasis&gt;Proteus spp.&lt;/emphasis&gt; were identified as multidrug-resistant (MDR). All isolates of &lt;emphasis&gt;Acinetobacter calcoaceticus-baumannii &lt;/emphasis&gt;complex and 35% of &lt;emphasis&gt;Pseudomonas aeruginosa&lt;/emphasis&gt; were identified as MDR. &lt;bold&gt;Conclusion:&lt;/bold&gt; The high SSI rates in different departments underscore the need for improved infection control practices and the establishment of a robust antimicrobial stewardship program. Surveillance of SSI cases, along with feedback, and regular auditing of prophylaxis protocols and resistance trends, is essential to reduce their prevalence.&lt;/p&gt;
          </abstract>
          
          
            <kwd-group>
              <title>Keywords</title>
              
                <kwd>Surgical site infections; Antimicrobial resistance; Multidrug-resistant; Methicillin-resistant &lt;I&gt;Staphylococcus aureus&lt;/I&gt;; Vancomycin-resistant &lt;I&gt;Enterococcus&lt;/I&gt;</kwd>
              
            </kwd-group>
          
        

        <contrib-group>
          
            
              <contrib contrib-type="author">
                <name>
                  <surname>Kumar</surname>
                  <given-names>Avinash</given-names>
                </name>
                
                  <xref rid="aff-1" ref-type="aff">1</xref>
                
              </contrib>
            
            
            
              <aff id="aff-1">
                <institution> Associate Professor, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
              <aff id="aff-2">
                <institution> Junior Resident, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
              <aff id="aff-3">
                <institution> Professor, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
          
            
              <contrib contrib-type="author">
                <name>
                  <surname>Datta</surname>
                  <given-names>Sangeeta</given-names>
                </name>
                
                  <xref rid="aff-2" ref-type="aff">2</xref>
                
              </contrib>
            
            
            
              <aff id="aff-1">
                <institution> Associate Professor, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
              <aff id="aff-2">
                <institution> Junior Resident, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
              <aff id="aff-3">
                <institution> Professor, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
          
            
              <contrib contrib-type="author">
                <name>
                  <surname>Chatterjee</surname>
                  <given-names>Biswaroop</given-names>
                </name>
                
                  <xref rid="aff-3" ref-type="aff">3</xref>
                
              </contrib>
            
            
            
              <aff id="aff-1">
                <institution> Associate Professor, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
              <aff id="aff-2">
                <institution> Junior Resident, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
              <aff id="aff-3">
                <institution> Professor, Department of Microbiology IQ City Medical College and Hospital </institution>
                <addr-line>Durgapur-713206, West Bengal India</addr-line>
              </aff>
            
          
        </contrib-group>
        
    </article-meta>
  </front>
  <body>
    <heading><span><bold>1 Introduction</bold></span></heading><p><span>Healthcare-associated infections (HAIs) are acquired by patients during care, originating from either exogenous sources or the endogenous flora of patients. They are the most frequent adverse event that compromises patient safety globally. Research from the World Health Organization's (WHO) ‘Clean Care is Safer Care’ program indicated that surgical site infections (SSI) are the most monitored and prevalent type of HAI, accounting for 20% of all HAIs. The burden is even greater in low- and middle-income countries (LMICs), affecting up to one-third of patients who have undergone surgical procedures. <superscript>[<xref ref-type="link" rid="#ref-1">1</xref>]</superscript></span></p><p><span>SSI are defined as infections that occur at the surgical site within 30- or 90-days post-surgery. They are classified into superficial incisional (within 30 days), deep incisional SSI, and organ/space SSI (within 30 or 90 days). Both superficial and deep incisional SSI are further divided into primary and secondary categories. <superscript>[<xref ref-type="link" rid="#ref-2">2</xref>]</superscript> According to the 2023 HAI data results, the SSI standardized infection ratio (SIR) for all National Health Safety Network (NHSN) operational procedure categories combined increased by almost 2% from the previous year. Although there is no national benchmark data, several multicentric investigations revealed SSI rates ranging from 1.6% to as high as 38% in India. <superscript>[<xref ref-type="link" rid="#ref-3">3</xref>]</superscript> They continue to be a major source of morbidity, mortality, extended hospital stays and significant financial burden. Among patients who develop SSI, these infections are directly associated with 75% of deaths and a 2- to 11-fold increase in mortality risk. <superscript>[<xref ref-type="link" rid="#ref-2">2</xref>]</superscript></span></p><p><italic><span>Staphylococcus aureus</span></italic><span> (</span><italic><span>S. aureus</span></italic><span>) has historically been the most frequently isolated bacterium from surgical site infections (SSI) wounds. <superscript>[<xref ref-type="link" rid="#ref-4">4</xref>]</superscript> However, recent data indicates that multidrug-resistant (MDR) Gram-negative (GN) bacteria, such as </span><italic><span>Pseudomonas aeruginosa</span></italic><span> (</span><italic><span>P. aeruginosa</span></italic><span>) and </span><italic><span>Acinetobacter calcoaceticus-baumannii complex</span></italic><span> (</span><italic><span>A. baumannii</span></italic><span>), are increasingly being isolated from SSI. <superscript>[<xref ref-type="link" rid="#ref-5">5</xref>]</superscript></span></p><p><span>The risk factors leading to the development of SSI can be patient-related (elderly, presence of co-morbidities, immunosuppression, duration of hospital stay, smoking, obesity/malnutrition, coexistence of infections, etc.), procedure-related (poor surgical technique, improper sterilization of the instruments, prolonged duration of surgery, inadequate antimicrobial prophylaxis, etc.), organism-related (inoculum size, bacterial virulence, biofilm formation), and environmental-related.</span><xref><span> <superscript>[<xref ref-type="link" rid="#ref-6">6</xref>]</superscript></span></xref></p><p><span>Quantifying the burden of SSI and ensuring surveillance is essential. Understanding current infection control guidelines and their practice is necessary to identify existing gaps. </span></p><heading><span><bold>1.1 Objectives</bold></span></heading><p><span>This study aimed to determine the (i) extent of SSI across various surgical specialties, (ii) demographic characteristics, (iii) associated risk factors (iv) distribution of predominant pathogens, and (v) their antimicrobial resistance (AMR) patterns, at a tertiary-care hospital in Eastern India. </span></p><heading><span><bold>2 Methodology</bold></span></heading><heading><span><bold>2.1 Study design and setting</bold></span></heading><p><span>This was a descriptive, cross-sectional study conducted in the Department of Microbiology covering a period of 24 months (January 2023 to February 2025), at tertiary-care teaching hospital in Eastern India.</span></p><heading><span><bold>2.1.1 Study samples</bold></span></heading><p><span>All SSI cases according to guidelines by Centers for Disease Control and Prevention (CDC) NHSN criteria were included in this study, irrespective of age and gender. <superscript>[<xref ref-type="link" rid="#ref-2">2</xref>]</superscript> Infections at the surgical site occurring more than 30 days post-operative are excluded from the study, except for breast, implant, and joint surgeries.</span></p><heading><span><bold>2.1.2 Study procedure</bold></span></heading><ordered-list><list-item><p><bold>Sample Collection, Processing and Analysis: </bold>SSI samples (pus, swab, tissue, implants) were collected from the clinically suspected cases and sent to the Microbiology laboratory for processing. Initial Gram stains from direct specimens were observed, and subsequently, they were cultured on Blood, Chocolate, and MacConkey agar plates, incubated at 37°C for up to 48 hours. The characteristics of the colonies were recorded, and isolated colonies underwent Gram staining, motility testing, and a standard series of biochemical tests. They were ultimately confirmed, identified, and assessed for antimicrobial susceptibility using the MicroScan WalkAway® plus system (Beckman Coulter, California, USA). Antimicrobial susceptibility results were interpreted according to the Clinical and Laboratory Standards Institute (CLSI) 2025, M100 guidelines. MDR for GN infections were interpreted based on Infectious Diseases Society of America (IDSA) 2024 Guidelines. <superscript>[<xref ref-type="link" rid="#ref-7">7</xref>]</superscript></p></list-item><list-item><p><bold>Data collection: </bold>Demographic data, ward of admission, and other relevant information were obtained from the laboratory register and hospital information system.</p></list-item><list-item><p><bold>Calculation:</bold> SSI rates are calculated by dividing the number of SSIs by the number of operative procedures and multiplying the results by 100. <superscript>[<xref ref-type="link" rid="#ref-2">2</xref>]</superscript></p></list-item><list-item><p><bold>Statistical analysis: </bold>Data obtained were entered in Microsoft Excel spreadsheet (Office 2021) and analyzed by SPSS (Statistical Package for Social Sciences) software (version16). Categorical variables were expressed in frequency counts and percentage distribution and extrapolated with various charts, tables and diagrams.</p></list-item></ordered-list><heading><span><bold>2.1.3 Ethical considerations</bold></span></heading><p><span>The study was conducted in conformity with all ethical guidelines. The protocol was reviewed and approved by the Institutional Ethics Committee. Patient confidentiality was maintained throughout the study by de-identifying all collected data.</span></p><heading><span><bold>3 Results</bold></span></heading><heading><span><bold>3.1 Prevalence of SSI</bold></span></heading><p><span>A total of 6,628 surgeries were conducted during this period, with 358 confirmed cases of SSI (SSI rate:5.4%).</span><italic><span> </span></italic><span>The SSI rate was highest in the orthopaedics department (7.8%), followed by plastic surgery (7.2%) and obstetrics and gynaecology departments (6.4%) <xref ref-type="link" rid="#table-1">[Table. 1]</xref>. The categories of SSI cases across various departments are compiled <xref ref-type="link" rid="#table-2">[Table. 2]</xref>. Superficial, deep, and organ/space SSI accounted for 28% (N=99), 62% (N=223), and 10% (N=36) of the total cases, respectively. </span></p><p> </p><figure id="table-1"><table><thead><tr><th><span><bold>Departments</bold></span></th><th><span><bold>Total Surgeries</bold></span></th><th><span><bold>No. of SSI cases</bold></span></th><th><span><bold>SSI rate (%)</bold></span></th></tr></thead><tbody><tr><td><span>Orthopaedics</span></td><td><span>1298</span></td><td><span>102</span></td><td><span>7.8%</span></td></tr><tr><td><span>Plastic Surgery</span></td><td><span>388</span></td><td><span>28</span></td><td><span>7.2%</span></td></tr><tr><td><span>OBGY</span></td><td><span>1354</span></td><td><span>86</span></td><td><span>6.4%</span></td></tr><tr><td><span>General Surgery</span></td><td><span>1310</span></td><td><span>77</span></td><td><span>6%</span></td></tr><tr><td><span>Neuro Surgery</span></td><td><span>722</span></td><td><span>35</span></td><td><span>4.8%</span></td></tr><tr><td><span>Urology Surgery</span></td><td><span>182</span></td><td><span>8</span></td><td><span>4.4%</span></td></tr><tr><td><span>CTVS</span></td><td><span>254</span></td><td><span>10</span></td><td><span>4%</span></td></tr><tr><td><span>Paediatric Surgery</span></td><td><span>268</span></td><td><span>7</span></td><td><span>2.6%</span></td></tr><tr><td><span>ENT</span></td><td><span>188</span></td><td><span>3</span></td><td><span>1.6%</span></td></tr><tr><td><span>Ophthalmology</span></td><td><span>664</span></td><td><span>2</span></td><td><span>0.3%</span></td></tr></tbody></table><figcaption><span><bold>Table 1: Prevalence of SSI across various surgical specialties</bold></span></figcaption></figure><p><line-break/> </p><figure id="table-2"><table><thead><tr><th> </th><th><span><bold>Orthopae</bold></span><line-break/><span><bold>dics</bold></span><line-break/><span><bold> (102)</bold></span></th><th colspan="2"><span><bold>OBGY </bold></span><line-break/><span><bold>(86)</bold></span></th><th><span><bold>General Surgery </bold></span><line-break/><span><bold>(77)</bold></span></th><th><span><bold>Plastic Surgery </bold></span><line-break/><span><bold>(28)</bold></span></th><th><span><bold>Neurosur</bold></span><line-break/><span><bold>gery </bold></span><line-break/><span><bold>(35)</bold></span></th><th><span><bold>Urosur</bold></span><line-break/><span><bold>gery </bold></span><line-break/><span><bold>(8)</bold></span></th><th><span><bold>Paediatric surgery </bold></span><line-break/><span><bold>(7)</bold></span></th><th><span><bold>CTVS </bold></span><line-break/><span><bold>(10)</bold></span></th><th><span><bold>ENT </bold></span><line-break/><span><bold>(3)</bold></span></th><th><span><bold>Ophthalmology </bold></span><line-break/><span><bold>(2)</bold></span></th></tr></thead><tbody><tr><td><span>Superficial SSI [N=99]</span></td><td colspan="2"><span>36 (35%)</span></td><td><span>13 (15%)</span></td><td><span>13 (17%)</span></td><td><span>19 (68%)</span></td><td><span>9 (26%)</span></td><td><span>nil</span></td><td><span>3 (43%)</span></td><td><span>3 (30%)</span></td><td><span>1 (33.3%)</span></td><td><span>2 (100%)</span></td></tr><tr><td><span>Deep SSI [N=223]</span></td><td colspan="2"><span>66 (65%)</span></td><td><span>64 (74.4%)</span></td><td><span>54 (70%)</span></td><td><span>8 (28.5%)</span></td><td><span>18 (51%)</span></td><td><span>2 (25%)</span></td><td><span>4 (57%)</span></td><td><span>7 (70%)</span></td><td><span>nil</span></td><td><span>nil</span></td></tr><tr><td><span>Organ/ Space SSI [N=36]</span></td><td colspan="2"><span>nil</span></td><td><span>9 (10.5%)</span></td><td><span>10 (13%)</span></td><td><span>1 (3.8%)</span></td><td><span>8 (23%)</span></td><td><span>6 (75%)</span></td><td><span>nil</span></td><td><span>nil</span></td><td><span>2 (66.7%)</span></td><td><span>nil</span></td></tr><tr><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td><td> </td></tr></tbody></table><figcaption><span><bold>Table 2: Categories of SSI in various departments</bold></span></figcaption></figure><p> </p><heading><span><bold>3.2 Demographic Profile with associated risk factors</bold></span></heading><p><span>About 60% were males (n=214), with a sex ratio of 1.5:1. The highest incidence of SSI was noted in the 31-40 years age group (n=86, 24%) <xref ref-type="link" rid="#figure-1">[Fig. 1]</xref>. Smoking (48%) was the most prevalent risk factor <xref ref-type="link" rid="#figure-2">[Fig. 2]</xref>.</span></p><heading><span><bold>3.2.1 Bacteriological Profile</bold></span></heading><p><span>Microbiological confirmation was observed in 87% (n=312) of the SSI cases, of which 67% (n=240) exhibited monomicrobial growth and 20% (n=72) showed polymicrobial growth. A total of 324 </span><line-break/><line-break/><span>pathogens were isolated during the study period where GN and Gram-positive (GP) bacteria constituted 65.4% (n=212) and 34.6% (n=112) of the isolates, respectively. Among GP, </span><italic><span>S. aureus</span></italic><span> comprised of the majority (n=78, 70%). </span><italic><span>Escherichia coli (E. coli</span></italic><span>) (n=59,28%) was the predominant pathogen among GN, followed by </span><italic><span>Klebsiella spp.</span></italic><span> (n=49, 23%), </span><italic><span>P. aeruginosa </span></italic><span>(n=46, 21.6%),</span><italic><span> A. baumannii</span></italic><span> (n=33, 15.6%), </span><italic><span>Proteus spp.</span></italic><span> (n=15, 7%) and others (n=10, 5%) <xref ref-type="link" rid="#table-3">[Table. 3]</xref>.</span></p><p> </p><figure><graphic alt="A graph of age and age

AI-generated content may be incorrect." src="https://schoproductionportal.s3.ap-south-1.amazonaws.com/1766053067730.jpeg"/><figcaption><span><bold>Figure 1: Age Distribution among study participants</bold></span></figcaption></figure><p> </p><p> </p><figure><graphic alt="A graph showing the amount of smoking

AI-generated content may be incorrect." src="https://schoproductionportal.s3.ap-south-1.amazonaws.com/1766053067905.jpeg"/><figcaption><span><bold>Figure 2: Presence of risk factors</bold></span></figcaption></figure><p> </p><figure id="table-3"><table><thead><tr><th><span><bold>Microorganism</bold></span></th><th><span><bold>Species isolated</bold></span></th><th><span><bold>n (%)</bold></span></th></tr></thead><tbody><tr><td rowspan="3"><p><span>Gram-positive</span></p><p><span>(N= 112, 34.6%)</span></p></td><td><italic><span>Staphylococcus aureus</span></italic></td><td><span>78 (70%)</span></td></tr><tr><td><italic><span>Coagulase-negative staphylococci</span></italic></td><td><span>18 (16%)</span></td></tr><tr><td><italic><span>Enterococcus spp.</span></italic></td><td><span>16 (14%)</span></td></tr><tr><td rowspan="10"><p><span>Gram-negative</span></p><p><span>(N=212, 65.4%)</span></p></td><td><italic><span>Escherichia coli</span></italic></td><td><span>59 (28%)</span></td></tr><tr><td><italic><span>Klebsiella spp.</span></italic></td><td><span>49 (23%)</span></td></tr><tr><td><italic><span>Pseudomonas aeruginosa</span></italic></td><td><span>46 (21.6%)</span></td></tr><tr><td><italic>Acinetobacter baumannii</italic> <line-break/>complex</td><td><span>33 (15.6%)</span></td></tr><tr><td><italic><span>Proteus spp.</span></italic></td><td><span>15 (7%)</span></td></tr><tr><td><italic><span>Burkholderia cepacia complex</span></italic></td><td><span>4 (2%)</span></td></tr><tr><td><italic><span>Enterobacter cloacae</span></italic></td><td><span>3 (1.5%)</span></td></tr><tr><td><italic><span>Morganella morganii</span></italic></td><td><span>1 (0.5%)</span></td></tr><tr><td><italic><span>Serratia marcescens</span></italic></td><td><span>1 (0.5%)</span></td></tr><tr><td><italic><span>Providencia spp.</span></italic></td><td><span>1 (0.5%)</span></td></tr></tbody></table><figcaption><span><bold>Table 3: Distribution of the isolates</bold></span></figcaption></figure><list><list-item><p><bold>Distribution of pathogens among various surgical specialties (<xref ref-type="link" rid="#table-4">[Table. 4]</xref>): </bold>S. aureus was the predominant pathogen isolated in orthopaedics, paediatric surgery and obstetrics and gynaecology department. Enterobacterales were predominant pathogens in general surgery, neurosurgery, urosurgery and ENT. <italic>P. aeruginosa </italic>was the most commonly isolated organism in plastic surgery patients (32%). In CTVS department, four cases of Burkholderia cepacia complex were isolated, primarily from pacemaker pocket site.</p></list-item><list-item><p><bold>AMR patterns of the isolates: </bold>GP isolates demonstrated a high level of resistance to penicillin (81%) and ampicillin (66%). Enterococcus spp., in particular, also showed a greater resistance to erythromycin (86%), clindamycin (80%), and high-level aminoglycosides (66.5%). The most effective antimicrobials for <italic>S. aureus</italic>, exhibiting low levels of resistance, were vancomycin (0%), teicoplanin (6.4%) and linezolid (11.3%). Daptomycin was the least resistant antimicrobial for Enterococcus spp. (6%). Methicillin resistance S. aureus (MRSA) was detected to be 45% (n=35), based on their resistance to cefoxitin. Vancomycin resistance was observed in 20% (n=4) of Enterococcus spp. (VRE).</p><p> </p><p><span>Among the Enterobacterales, approximately 70% of </span><italic><span>Klebsiella spp</span></italic><span>., 44% of </span><italic><span>E. coli</span></italic><span> isolates, and 32% of </span><italic><span>Proteus spp</span></italic><span>. were identified as MDR. For </span><italic><span>E. coli</span></italic><span> and </span><italic><span>Klebsiella spp</span></italic><span>., the highest resistance was observed to third-generation cephalosporins, monobactam and fluoroquinolones. </span><italic><span>E. coli</span></italic><span> and </span><italic><span>Klebsiella spp</span></italic><span>. showed the least resistance to tigecycline (12.5%), and colistin (21.3%), respectively. </span><italic><span>Proteus spp</span></italic><span>. exhibited a high resistance to third-generation cephalosporins (57%), aminoglycosides (57%), and co-trimoxazole (57%), with the least resistance to carbapenems (21.4%). </span></p><p><line-break/><span>Carbapenem-resistant Enterobacterales (CRE) comprised of 46.4%. Among non-fermenters, all isolates of </span><italic><span>A. baumannii</span></italic><span> were MDRO, demonstrating a high level of resistance to third and fourth-generation cephalosporins (100%), fluoroquinolones (90.6%), and aminoglycosides (81.3%).</span><line-break/><line-break/><italic><span>P. aeruginosa</span></italic><span> showed maximum resistance to fluoroquinolones (77.3%), cephalosporins (71.7%), and monobactam (66%). Both </span><italic><span>A. baumannii</span></italic><span> and </span><italic><span>P. aeruginosa</span></italic><span> were least resistant to colistin. About 35% of P. aeruginosa were classified as MDR or Difficult-to-treat (DTR). <superscript>[<xref ref-type="link" rid="#ref-7">7</xref>]</superscript> </span><italic><span>Burkholderia cepacia complex</span></italic><span> isolates were resistant to 50% of levofloxacin and 25% of co-trimoxazole. The detailed antibiotic resistance patterns of the isolated GP and GN organisms have been compiled (<xref ref-type="link" rid="#table-5">[Table. 5]</xref> and <xref ref-type="link" rid="#table-6">[Table. 6]</xref>).</span></p><p> </p></list-item></list><div><figure id="table-4"><table><thead><tr><th><span><bold>Department</bold></span></th><th><italic><span><bold>S. aureus</bold></span></italic></th><th><italic><span><bold>Enterococcus spp.</bold></span></italic></th><th><italic><span><bold>E. coli</bold></span></italic></th><th><italic><span><bold>Klebsiella spp.</bold></span></italic></th><th><italic><span><bold>P. aeruginosa</bold></span></italic></th><th><italic><span><bold>A. baumannii complex</bold></span></italic></th><th><italic><span><bold>Proteus spp.</bold></span></italic></th><th><span><bold>Others</bold></span></th></tr></thead><tbody><tr><td><span>Orthopaedics (N=118)</span></td><td><span>33 (28%)</span></td><td><span>9 (7.6%)</span></td><td><span>13 (11%)</span></td><td><span>19 (16%)</span></td><td><span>16 (14%)</span></td><td><span>12 (10%)</span></td><td><span>6 (5%)</span></td><td><span>10 (8.4%)</span></td></tr><tr><td><span>General surgery (N=73)</span></td><td><span>15 (20.5%)</span></td><td><span>5 (7%)</span></td><td><span>18 (24.6%)</span></td><td><span>8 (11%)</span></td><td><span>10 (13.7%)</span></td><td><span>7 (9.6%)</span></td><td><span>4 (5.6%)</span></td><td><span>6 (8%)</span></td></tr><tr><td><span>Plastic surgery (N=25)</span></td><td><span>4 (16%)</span></td><td><span>Nil</span></td><td><span>3 (12%)</span></td><td><span>5 (20%)</span></td><td><span>8 (32%)</span></td><td><span>2 (8%)</span></td><td><span>1 (4%)</span></td><td><span>2 (8%)</span></td></tr><tr><td><span>Neurosurgery (N=17)</span></td><td><span>3 (17.6%)</span></td><td><span>1 (5.7%)</span></td><td><span>5 (29.4%)</span></td><td><span>2 (12%)</span></td><td><span>3 (17.6%)</span></td><td><span>2 (12%)</span></td><td><span>1 (5.7%)</span></td><td><span>Nil</span></td></tr><tr><td><span>Urosurgery (N=9)</span></td><td><span>1 (11%)</span></td><td><span>Nil</span></td><td><span>2 (22.2%)</span></td><td><span>3 (33.3%)</span></td><td><span>2 (22.2%)</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>1 (11%)</span></td></tr><tr><td><span>Paediatric surgery (N=7)</span></td><td><span>3 (43%)</span></td><td><span>Nil</span></td><td><span>2 (28.5%)</span></td><td><span>2 (28.5%)</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>Nil</span></td></tr><tr><td><span>OBGY (N=62)</span></td><td><span>18 (29%)</span></td><td><span>1 (1.6%)</span></td><td><span>15 (24%)</span></td><td><span>7 (11%)</span></td><td><span>3 (5%)</span></td><td><span>9 (14.5%)</span></td><td><span>3 (5%)</span></td><td><span>6 (9.6%)</span></td></tr><tr><td><span>CTVS (N=10)</span></td><td><span>1 (10%)</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>2 (20%)</span></td><td><span>2 (20%)</span></td><td><span>1 (10%)</span></td><td><span>Nil</span></td><td><span>4 (40%) : </span><italic><span> </span></italic><span>[</span><italic><span>B. cepacia</span></italic><span>]</span></td></tr><tr><td><span>ENT (N=2)</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>1 (50%)</span></td><td><span>1 (50%)</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>Nil</span></td><td><span>Nil</span></td></tr></tbody></table><figcaption><span><bold>Table 4: Distribution of Organisms in various departments</bold></span></figcaption></figure></div><p> </p><p> </p><figure id="table-5"><table><thead><tr><th><span><bold>Antimicrobials</bold></span></th><th><italic><span><bold>S. aureus</bold></span></italic><line-break/><span><bold>[N=78]</bold></span></th><th><italic><span><bold>Coagulase-negative staphylococci</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=18]</bold></span></th><th><italic><span><bold>Enterococcus spp.</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=16]</bold></span></th></tr></thead><tbody><tr><td><span>Penicillin</span></td><td><span>61 (82%)</span></td><td><span>15 (88%)</span></td><td><span>11 (73%)</span></td></tr><tr><td><span>Ampicillin</span></td><td><span>48 (65%)</span></td><td><span>11 (65%)</span></td><td><span>10 (67%)</span></td></tr><tr><td><span>Ciprofloxacin</span></td><td><span>54 (76%)</span></td><td><span>10 (59%)</span></td><td><span>5 (33%)</span></td></tr><tr><td><span>Co-trimoxazole</span></td><td><span>16 (22%)</span></td><td><span>5 (29%)</span></td><td><span>-</span></td></tr><tr><td><span>Erythromycin</span></td><td><span>31 (42%)</span></td><td><span>8 (47%)</span></td><td><span>13 (86%)</span></td></tr><tr><td><span>Clindamycin</span></td><td><span>37 (38%)</span></td><td><span>5 (29%)</span></td><td><span>12 (80%)</span></td></tr><tr><td><span>Gentamicin</span></td><td><span>10 (13%)</span></td><td><span>12 (15.4%)</span></td><td><span>-</span></td></tr><tr><td><span>Vancomycin</span></td><td><span>0 (0%)</span></td><td><span>0 (0%)</span></td><td><span>3 (20%)</span></td></tr><tr><td><span>Linezolid</span></td><td><span>7 (9%)</span></td><td><span>2 (12%)</span></td><td><span>2 (13%)</span></td></tr><tr><td><span>Teicoplanin</span></td><td><span>5 (6.4%)</span></td><td><span>0 (0%)</span></td><td><span>2 (12.5%)</span></td></tr><tr><td><span>Daptomycin</span></td><td><span>-</span></td><td><span>-</span></td><td><span>1 (6%)</span></td></tr><tr><td><span>High-level Gentamicin</span></td><td><span>-</span></td><td><span>-</span></td><td><span>9 (60%)</span></td></tr><tr><td><span>High-level Streptomycin</span></td><td><span>-</span></td><td><span>-</span></td><td><span>11 (73%)</span></td></tr></tbody></table><figcaption><span><bold>Table 5: Antimicrobial Resistance Pattern of Gram-positive isolates</bold></span></figcaption></figure><p> </p><heading><span><bold>4 Discussion</bold></span></heading><p><span>Despite considerable advancements in infection control, surgical, and sterilization techniques within </span><line-break/><line-break/><span>healthcare settings, SSIs remain a significant burden. The rise of high AMR among pathogens has further complicated management and treatment.</span><xref><span> <superscript>[<xref ref-type="link" rid="#ref-8">8</xref>]</superscript></span></xref></p><p><span>Overall, the SSI rate in our study was 5.4%, aligning with studies by Hirani S et al. (5.6%), Karan et al. (5.5%) and Mohan et al. (5.5%). <superscript>[<xref ref-type="link" rid="#ref-8">8</xref>, <xref ref-type="link" rid="#ref-9">9</xref>, <xref ref-type="link" rid="#ref-10">10</xref>]</superscript> However, studies by Negi V et al. and Verma U et al. reported a high infection rate of 17.5% and 37.1%, respectively. <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>, <xref ref-type="link" rid="#ref-12">12</xref>]</superscript> The neglect of infection control practices, </span><line-break/><line-break/><line-break/><span>improper hand hygiene practices, and overcrowded hospitals are significant contributing factors to the high infection rates in India. <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>]</superscript> </span></p><p><span>Male preponderance was observed in our study, corresponding with several other studies. <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>, <xref ref-type="link" rid="#ref-13">13</xref>, <xref ref-type="link" rid="#ref-14">14</xref>]</superscript> A higher proportion of SSI was observed in the age group of 31-40 years (24%), followed by 41-50 years (17.3%). The increase in the incidence of SSI with age, as also evident in other studies, may be attributed to low immunity, delayed wound healing, diminished physiological defence, and the presence of co-morbidities. <superscript>[<xref ref-type="link" rid="#ref-15">15</xref>]</superscript> Conversely, a study by Mohan et al. noted a greater number of SSI cases in individuals below 25 years. <superscript>[<xref ref-type="link" rid="#ref-10">10</xref>]</superscript></span></p><p><span>Smoking was the primary risk factor identified in our study (48%). It leads to the constriction of peripheral blood vessels, resulting in tissue hypovolaemia and hypoxia, which interferes with wound healing. <superscript>[<xref ref-type="link" rid="#ref-6">6</xref>]</superscript> Anaemia (36%) and diabetes mellitus (32%) were the main associated co-morbidities in our study, concurring with the findings from Kasukurthy LR et al. and Choudhury K et al. <superscript>[<xref ref-type="link" rid="#ref-15">15</xref>, <xref ref-type="link" rid="#ref-16">16</xref>]</superscript> Approximately 24% of patients who underwent emergency procedures developed SSIs. This may be due to a very limited time frame lacking adequate patient preparation, surgical readiness, or the presence of contaminated wounds, as seen in cases of road traffic accidents.</span></p><p><span>Maximum SSI was recorded in the orthopaedics department (7.8%), in tandem with a study Khan AS et al (3.4%). <superscript>[<xref ref-type="link" rid="#ref-17">17</xref>]</superscript> This was followed by plastic surgery (7.2%), and obstetrics and gynaecology department (6.4%). Studies by Banik et al. (8.22%) and Choudhury et al. (4.8%) reported highest infection rate in plastic surgery whereas Pham JC et al. reported the maximum in general surgery. <superscript>[<xref ref-type="link" rid="#ref-13">13</xref>, <xref ref-type="link" rid="#ref-15">15</xref>, <xref ref-type="link" rid="#ref-18">18</xref>]</superscript> Given the potential for implant or graft rejection, a higher percentage of SSIs in orthopaedics and plastic surgery departments is concerning. Deep SSI accounted for the majority of the SSI (62%), corresponding with a few other studies.<superscript>[<xref ref-type="link" rid="#ref-10">10</xref>, <xref ref-type="link" rid="#ref-13">13</xref>]</superscript> However, Kumar A et al. reported that the incidence of superficial SSIs was the highest. <superscript>[<xref ref-type="link" rid="#ref-19">19</xref>]</superscript></span></p><p>In our study, culture-positivity rate was 87%, corresponding with Choudhury et al (84.55%) and Dhote et al (92%). <superscript>[<xref ref-type="link" rid="#ref-15">15</xref>, <xref ref-type="link" rid="#ref-20">20</xref>]</superscript> Of this, 67% exhibited monomicrobial growth and 20% were polymicrobial, showing similarity with many other studies. <superscript>[<xref ref-type="link" rid="#ref-13">13</xref>, <xref ref-type="link" rid="#ref-16">16</xref>, <xref ref-type="link" rid="#ref-21">21</xref>]</superscript> A few studies reported lower culture positivity rates (Khan AS et al: 52%, and Kokate et al.: 49.5%). <superscript>[<xref ref-type="link" rid="#ref-17">17</xref>, <xref ref-type="link" rid="#ref-22">22</xref>]</superscript> Polymicrobial infections present challenges due to their requirement for higher classes of antimicrobials and extended treatment durations.<line-break/><line-break/> </p><figure id="table-6"><table><thead><tr><th><span><bold>Antimicrobials</bold></span></th><th><italic><span><bold>E. coli</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=59]</bold></span></th><th><italic><span><bold>Klebsiella spp.</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=49]</bold></span></th><th><italic><span><bold>Proteus spp.</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=15]</bold></span></th><th><italic><span><bold>P. aeruginosa</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=46]</bold></span></th><th><italic><span><bold>A. baumannii complex</bold></span></italic><span><bold> </bold></span><line-break/><span><bold>[N=33]</bold></span></th></tr></thead><tbody><tr><td><span>Ceftazidime</span></td><td><span>49 (88%)</span></td><td><span>37 (79%)</span></td><td><span>7 (50%)</span></td><td><span>32 (73%)</span></td><td><span>32 (100%)</span></td></tr><tr><td><span>Ceftriaxone</span></td><td><span>49 (88%)</span></td><td><span>35 (74.5%)</span></td><td><span>9 (64%)</span></td><td><span>*IR</span></td><td><span>32 (100%)</span></td></tr><tr><td><span>Cefepime</span></td><td><span>39 (70%)</span></td><td><span>32 (68%)</span></td><td><span>7 (50%)</span></td><td><span>31 (70.4%)</span></td><td><span>32 (100%)</span></td></tr><tr><td><p><span>Amoxicillin/</span></p><p><span>Clavulanate</span></p></td><td><span>31 (55.3%)</span></td><td><span>30 (64%)</span></td><td><span>4 (28.5%)</span></td><td><span>*IR</span></td><td><span>*IR</span></td></tr><tr><td><p><span>Piperacillin/</span></p><p><span>Tazobactam</span></p></td><td><span>18 (32%)</span></td><td><span>27 (56%)</span></td><td><span>4 (28.5%)</span></td><td><span>22 (50%)</span></td><td><span>19 (59.3%)</span></td></tr><tr><td><p><span>Ampicillin/</span></p><p><span>Sulbactam</span></p></td><td><span>32 (57%)</span></td><td><span>25 (53%)</span></td><td><span>4 (28.5%)</span></td><td><span>*IR</span></td><td><span>17 (53%)</span></td></tr><tr><td><span>Aztreonam</span></td><td><span>56 (87.5%)</span></td><td><span>35 (71.4%)</span></td><td><span>5 (36%)</span></td><td><span>29 (66%)</span></td><td><span>*IR</span></td></tr><tr><td><span>Meropenem</span></td><td><span>19 (34%)</span></td><td><span>33 (70%)</span></td><td><span>3 (21.4%)</span></td><td><span>25 (57%)</span></td><td><span>22 (69%)</span></td></tr><tr><td><span>Imipenem</span></td><td><span>19 (34%</span></td><td><span>33 (70%)</span></td><td><span>3 (21.4%)</span></td><td><span>25 (57%)</span></td><td><span>23 (72%)</span></td></tr><tr><td><span>Ertapenem</span></td><td><span>19 (34%)</span></td><td><span>31 (66%)</span></td><td><span>3 (21.4%)</span></td><td><span>*IR</span></td><td><span>*IR</span></td></tr><tr><td><span>Gentamicin</span></td><td><span>18 (32%)</span></td><td><span>33 (70%)</span></td><td><span>9 (64%)</span></td><td><span>25 (57%)</span></td><td><span>26 (81.3%)</span></td></tr><tr><td><span>Amikacin</span></td><td><span>18 (32%)</span></td><td><span>33 (70%)</span></td><td><span>7 (50%)</span></td><td><span>25 (57%)</span></td><td><span>26 (81.3%)</span></td></tr><tr><td><span>Ciprofloxacin</span></td><td><span>47 (84%)</span></td><td><span>35 (74.4%)</span></td><td><span>6 (43%)</span></td><td><span>34 (77.3%)</span></td><td><span>29 (90.6%)</span></td></tr><tr><td><span>Co-trimoxazole</span></td><td><span>31 (55.3%)</span></td><td><span>34 (72.3%)</span></td><td><span>8 (57%)</span></td><td><span>*IR</span></td><td><span>23 (72%)</span></td></tr><tr><td><span>Tigecycline</span></td><td><span>7 (12.5%)</span></td><td><span>14 (30%)</span></td><td><span>*IR</span></td><td><span>*IR</span></td><td><span>5 (15.6%)</span></td></tr><tr><td><span>Colistin</span></td><td><span>13 (23%)</span></td><td><span>10 (21.3%)</span></td><td><span>*IR</span></td><td><span>3 (7%)</span></td><td><span>4 (12.5%)</span></td></tr></tbody></table><figcaption><span><bold>Table 6: Antimicrobial Resistance Pattern of Gram-negative isolates</bold></span></figcaption></figure><p><span>*IR: Intrinsic resistance</span></p><p><line-break/><span>GN organisms (65.4%) were isolated more frequently than GP organisms (34.6%) in this study. Consistent with majority of studies, our research also showed </span><italic><span>S. aureus</span></italic><span> to be the most prevalent isolate (70%) among GP organisms and E. coli (28%) among GN organisms. <superscript>[<xref ref-type="link" rid="#ref-10">10</xref>, <xref ref-type="link" rid="#ref-11">11</xref>, <xref ref-type="link" rid="#ref-14">14</xref>, <xref ref-type="link" rid="#ref-15">15</xref>, <xref ref-type="link" rid="#ref-17">17</xref>]</superscript> Contrary to previous reports, recent investigations had observed the emergence of non-fermenters like </span><italic><span>P. aeruginosa</span></italic><span> and </span><italic><span>A. baumannii</span></italic><span> as emerging pathogens of SSI. <superscript>[<xref ref-type="link" rid="#ref-23">23</xref>]</superscript> </span></p><p><line-break/><span>The antimicrobial profile of majority of the organisms showed a high prevalence of resistance. GP organisms exhibited maximum resistance to penicillin (81%), corroborating with a study Banik A et al. (95%).<superscript>[<xref ref-type="link" rid="#ref-11">11</xref>]</superscript> A sizable fraction of the </span><italic><span>S. aureus</span></italic><span> isolates exhibited methicillin resistance (MRSA) (45%), which is higher when compared to studies by Negi V et al. (15.7%) and Choudhury K. et al (39.29%) but lower than Patnaik et al (52.3%). <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>, <xref ref-type="link" rid="#ref-15">15</xref>, <xref ref-type="link" rid="#ref-24">24</xref>]</superscript> Increased MRSA isolation from SSI samples suggests that infection </span></p><p> </p><div><figure id="table-7"><table><thead><tr><th><span><bold>Author</bold></span></th><th><span><bold>Place of study</bold></span></th><th><span><bold>Year of publication</bold></span></th><th><span><bold>SSI rate</bold></span></th><th><span><bold>% GP</bold></span></th><th><span><bold>% GN</bold></span></th><th><span><bold>Most common isolate</bold></span></th><th><span><bold>Resistance</bold></span></th></tr></thead><tbody><tr><td><span>Mohan K et al. <superscript>[<xref ref-type="link" rid="#ref-10">10</xref>]</superscript></span></td><td><span>Tamil Nadu</span></td><td><span>2023</span></td><td><span>5.6%</span></td><td><span>30.17% </span></td><td><span>69.83%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><span>-</span></td></tr><tr><td><span>Negi V et al. <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>]</superscript></span></td><td><span>Uttarakhand</span></td><td><span>2015</span></td><td><span>17.8%</span></td><td><span>50.4%</span></td><td><span>49.6%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA:15.7%</span></p><p><span>MDR GNB: 50-100%</span></p></td></tr><tr><td><span>Verma U et al. <superscript>[<xref ref-type="link" rid="#ref-12">12</xref>]</superscript></span></td><td><span>Rajasthan</span></td><td><span>2021</span></td><td><span>37.1%</span></td><td><span>66.6%</span></td><td><span>29.5%</span></td><td><p><span>GP: </span><italic><span>CoNS</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><span>MRSA: 84.6%</span></td></tr><tr><td><span>Banik Aet al. <superscript>[<xref ref-type="link" rid="#ref-13">13</xref>]</superscript></span></td><td><span>Kolkata</span></td><td><span>2024</span></td><td><span>6.3%</span></td><td><span>24.7%</span></td><td><span>58%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>K. pneumoniae</span></italic></p></td><td><p><italic><span>MRSA: 43.9%</span></italic></p><p><italic><span>VRE:4%</span></italic></p><p><italic><span>CRE: 34.78%</span></italic></p><p><italic><span>CRAB: 70.52%</span></italic></p><p><italic><span>DTR-P:16.35%</span></italic></p></td></tr><tr><td><span>Chada CKR  et al. <superscript>[<xref ref-type="link" rid="#ref-14">14</xref>]</superscript></span></td><td><span>Andhra Pradesh</span></td><td><span>2017</span></td><td><span>3.83%</span></td><td><span>38%</span></td><td><span>62%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA:35.7%</span></p><p><span>VRE:0%</span></p><p><span>CRE:4.2%</span></p></td></tr><tr><td><span>Choudhury K et al. <superscript>[<xref ref-type="link" rid="#ref-15">15</xref>]</superscript></span></td><td><span>West Bengal</span></td><td><span>2023</span></td><td><span>2.83%</span></td><td><italic><span>38.53%</span></italic></td><td><italic><span>58.72%</span></italic></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA:39.29%</span></p><p><span>ESBL:67.97%</span></p></td></tr><tr><td><span>Kasukurthy LR et al. <superscript>[<xref ref-type="link" rid="#ref-16">16</xref>]</superscript></span></td><td><span>Karnataka</span></td><td><span>2020</span></td><td><span>10.3%</span></td><td><italic><span>34%</span></italic></td><td><italic><span>66%</span></italic></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>K. pneumoniae</span></italic></p></td><td><p><span>MRSA:15%</span></p><p><span>ESBL:44%</span></p></td></tr><tr><td><span>Khan AS et al. <superscript>[<xref ref-type="link" rid="#ref-17">17</xref>]</superscript> </span></td><td><span>Uttar Pradesh</span></td><td><span>2020</span></td><td><span>3.43% </span></td><td><span>40.9%</span></td><td><span>57.2%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><italic><span>MRSA: 40%</span></italic></p><p><italic><span>VRE: 0%</span></italic></p><p><italic><span>MDR:80.3%</span></italic></p></td></tr><tr><td><span>Pradeep MSS et al. <superscript>[<xref ref-type="link" rid="#ref-21">21</xref>]</superscript></span></td><td><span>Andhra Pradesh</span></td><td><span>2019</span></td><td><span>2.30%</span></td><td><span> 33.7%</span></td><td><span>66.3% </span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA:31.03%,</span></p><p><span>VRE:0%,</span></p><p><span>MDR: 26.7%,</span></p><p><span>ESBL:  43.9%</span></p></td></tr><tr><td><span>Kokate S B et al. <superscript>[<xref ref-type="link" rid="#ref-22">22</xref>]</superscript></span></td><td><span>Maharashtra</span></td><td><span>2017</span></td><td><span>1.64%</span></td><td><span>39.72%</span></td><td><span>60.28%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA: 31.03% </span></p><p><span>ESBL:33%</span></p></td></tr><tr><td><span>Patnaik N et al. <superscript>[<xref ref-type="link" rid="#ref-24">24</xref>]</superscript></span></td><td><span>Odisha</span></td><td><span>2019</span></td><td><span>8.5%</span></td><td><span>51.8%</span></td><td><span>48.2%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA:52.38%</span></p><p><span>CRE: 37.6%</span></p></td></tr><tr><td><span>Present Study</span></td><td><span>West Bengal</span></td><td><span>-</span></td><td><span>5.4%</span></td><td><span>65.4%</span></td><td><span>34.6%</span></td><td><p><span>GP: </span><italic><span>S. aureus</span></italic></p><p><span>GN: </span><italic><span>E. coli</span></italic></p></td><td><p><span>MRSA: 45%</span></p><p><span>VRE: 25%</span></p><p><span>CRE:46.4%</span></p><p><span>DTR-P: 35%</span></p></td></tr></tbody></table><figcaption><span><bold>Table 7: Comparison of SSI rate along with resistance among pathogens</bold></span></figcaption></figure><p><span><bold>*</bold>GP: Gram-positive, GN: Gram-negative, MRSA: Methicillin-resistant </span><italic><span>Staphylococcus aureus</span></italic><span>, VRE: Vancomycin-resistant </span><italic><span>Enterococcus</span></italic><span>, MDR: Multidrug-resistant, CRE: Carbapenem-resistant </span><italic><span>Enterobacterales</span></italic><span>, DTR-P: Difficult-to-treat </span><italic><span>P. aeruginosa</span></italic><span>, ESBL: Extended-spectrum Beta-Lactamase, CRAB: Carbapenem-resistant </span><italic><span>Acinetobacter baumannii.</span></italic></p></div><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p><line-break/>control procedures need to be improved. Vancomycin, linezolid, teicoplanin were found to be most effective antimicrobials for S. aureus and daptomycin was the most effective for Enterococcus spp, consistent with the findings by Verma U et al. and Choudhury et al. <superscript>[<xref ref-type="link" rid="#ref-12">12</xref>, <xref ref-type="link" rid="#ref-15">15</xref>]</superscript></p><p><span>GN organisms were predominantly resistant to cephalosporins and fluoroquinolones, aligning with the findings of Banik A et al. <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>]</superscript> The carbapenem resistance among Enterobacterales detected in our study was 46.4%, which is higher than a study by Banik A et al. (34.78%). <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>]</superscript> This may be attributed to the imprudent use of meropenem as the first line of empirical treatment. Lower rates of resistance were noted for carbapenems and β-lactam/β-lactamase inhibitor<bold> </bold>(BL/BLI) combination in a study conducted by Negi V et al. <superscript>[<xref ref-type="link" rid="#ref-11">11</xref>]</superscript></span></p><p><span>A comparison of SSI rate among various studies across India, along with important resistance among isolates is compiled in <xref ref-type="link" rid="#table-7">[Table. 7]</xref>. Before every procedure, all cases had received prophylactic antimicrobials in our study. The most widely used drug was a third-generation cephalosporin. The findings of the antimicrobial susceptibility test, however, indicated that the isolated bacterial strains exhibited a high degree of resistance to this agent. The frequent empirical administration of this antimicrobial both for therapeutic and preventative purposes in our hospital may have contributed to the high level of resistance.</span></p><p><span>A study by Aghdassi et al. found a significant increase in SSI caused by GNB during warmer months, suggesting a link between temperature and SSI risk. This has important implications for SSI prevention strategies, which should consider the influence of temperature and climate factors. Therefore, underlying changes in microbiome composition brought on by climatic conditions should be included in future investigations. <superscript>[<xref ref-type="link" rid="#ref-25">25</xref>]</superscript></span></p><heading><span><bold>5 Conclusion</bold></span></heading><p><span>Surgical site infections (SSI) remain a significant clinical challenge despite rapid advancements in technology and knowledge. The elevated SSI rates across various departments underscore the critical need for enhanced stringent infection control protocols and robust antimicrobial stewardship within our hospital. A paradigm shift in bacteriological profiles, from GP to MDR GN organisms, poses a serious threat to patient outcomes and significantly impedes surgical progress.<superscript>[<xref ref-type="link" rid="#ref-26">26</xref>]</superscript> Therefore, understanding the local microbial epidemiology is crucial for guiding appropriate empirical treatment. Regular surveillance of SSI cases, including their risk factors and timely feedback, is essential for reducing prevalence. To effectively combat the rising incidence and complexity of SSI, a proactive strategy is paramount, encompassing rigorous auditing of surgical antimicrobial prophylaxis protocols and consistent, periodic resistance trend analysis. Evidence strongly supports these practices in optimizing antimicrobial use.<superscript>[<xref ref-type="link" rid="#ref-27">27</xref>, <xref ref-type="link" rid="#ref-28">28</xref>]</superscript> This enables timely adjustments to empirical treatment strategies and minimizes selective pressure for resistance, thereby improving patient outcomes and contributing to broader antimicrobial stewardship efforts.</span></p><heading><bold>6 Disclosure</bold></heading><p><span><bold>Acknowledgement: </bold>Authors are grateful to the technical staffs of Microbiology laboratory for their consistent help in conducting the study.</span></p><p><span><bold>Declaration of patient consent: </bold>The authors attest to having acquired all required patient permission documents. The patients had grant permission for the journal to publish his or her clinical data. They are aware that due efforts will be made to conceal their identity.</span></p>
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