<?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">WJCS</journal-id><journal-title-group><journal-title>World Journal of Cardiovascular Surgery</journal-title></journal-title-group><issn pub-type="epub">2164-3202</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjcs.2023.133006</article-id><article-id pub-id-type="publisher-id">WJCS-124069</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Microbiological and Antibiotic Susceptibility Patterns in Cardiothoracic and Vascular Intensive Care Unit of a Tertiary Level Hospital in Nepal
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bibhush</surname><given-names>Shrestha</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>Priska</surname><given-names>Bastola</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bishwas</surname><given-names>Pradhan</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>Arjun</surname><given-names>Gurung</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>Basanta</surname><given-names>Ghimire</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>Anil</surname><given-names>Bhattarai</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Cardiothoracic and Vascular Anesthesiology, Manmohan Cardiothoracic Vascular and Transplant Center, Tribhuvan University, Kathmandu, Nepal</addr-line></aff><aff id="aff2"><addr-line>Department of Cardiothoracic and Vascular Surgery, Manmohan Cardiothoracic Vascular and Transplant Center, Tribhuvan University, Kathmandu, Nepal</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>03</month><year>2023</year></pub-date><volume>13</volume><issue>03</issue><fpage>61</fpage><lpage>70</lpage><history><date date-type="received"><day>19,</day>	<month>December</month>	<year>2022</year></date><date date-type="rev-recd"><day>28,</day>	<month>March</month>	<year>2023</year>	</date><date date-type="accepted"><day>31,</day>	<month>March</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <b>Background: </b>
  Sepsis has been one of the most important conditions for morbidity and mortality of Intensive care unit (ICU) patients. Antibiotics remain one of the major combating factors for it. Indiscriminate antimicrobial usage and poor prescription practices have contributed to the development of multidrug resistant (MDR) organisms. Therefore, the current study was designed to evaluate the spectrum, and susceptibility patterns of pathogens isolated from patients admitted 
  to
   our Cardiothoracic and Vascular Intensive care unit. <b>Materials and Methods: </b>The study was conducted in Cardiothoracic and Vascular ICU of a tertiary care teaching hospital 
  from
   February 2019 to March 2021. Samples (blood, urine, wound swab, tracheal aspirate, and central venous catheter tip) for culture were taken from all the patients in Sepsis admitted in Cardiothoracic and Vascular ICU above 18 years of age during the study period. The culture reports (microbiological profile and their susceptibility pattern) were collected and<b> </b>data collection of all enrolled patients was done. <b>Results: </b>Out of the total 128 samples studied 75 (58.5%) were culture positive. The predominant organisms isolated were Gram negative organisms (Klebsiella, Pseudomonas, Acinetobacter, followed by E. coli). The highest prevalence of microbial growth was found in tracheal aspirate (46.8%)
  ,
   followed by blood (21.8%). Antibiotic susceptibility results showed the highest sensitivity of those common pathogens towards higher antibiotics only (especially Polymyxin B and Colistin). <b>Conclusion:</b> 
  The e
  mergence of multidrug resistan
  t
   organisms and lesser availability of 
  a 
  higher group of antibiotics is a major concern. So there is a need 
  for
   regular hospital based antibiogram
  s
  , strict infection control programs
  ,
   and implementation of antimicrobial stewardship programmes for guiding clinicians in choosing appropriate therapy and prevent
  ing
   the surge of multidrug resistan
  t
   organisms.
 
</p></abstract><kwd-group><kwd>Sepsis</kwd><kwd> Antibiotics</kwd><kwd> Intensive Care Unit</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The Intensive care unit (ICU) is often the core site of infections due to its extremely vulnerable population and increased risk of becoming infected through multiple procedures and the use of invasive devices [<xref ref-type="bibr" rid="scirp.124069-ref1">1</xref>] . The worldwide incidence rate is 23.7 infections per 1000 patient days and rates of nosocomial infections range from 5% - 30% among ICU patients [<xref ref-type="bibr" rid="scirp.124069-ref2">2</xref>] . The ongoing example of resistance in the community and hospital is considered as a major threat for public health, and especially the ICU has been described as a factory for creating, disseminating and amplifying antimicrobial resistance [<xref ref-type="bibr" rid="scirp.124069-ref1">1</xref>] .</p><p>There is a wide variation in current practices practically due to the lack of evidence on the best strategies to treat critically ill patients. Inappropriate antimicrobial use and poor prescription practices have contributed to the development of multi-drug resistant organisms [<xref ref-type="bibr" rid="scirp.124069-ref3">3</xref>] . Antibiotic resistance is on the rise throughout the world adding to the number of DALY’s (Disability-adjusted life years) lost but also to the financial burden [<xref ref-type="bibr" rid="scirp.124069-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.124069-ref5">5</xref>] .</p><p>Empirical antibiotic therapy has been a traditional practice, especially in developing countries, to reduce morbidity and mortality associated with sepsis because of the routine delays in receiving culture reports and antibiotic susceptibility analysis. Also, the current international guidelines may not be the ideal treatment strategies for all regions because of the variation in the context of the microbial patterns.</p><p>In Nepal, very few studies regarding antibiotic susceptibility patterns, especially in Cardiothoracic and vascular set up, have been done. So, the present study is designed to find out the microbiological profile and the antibiotic susceptibility pattern in cultures (blood, urine, tracheal aspirate, and sputum) in Cardiothoracic and Vascular ICU during the study period.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>A cross sectional study was carried out based on culture reports of bacterial isolates from the Cardiothoracic and Vascular ICU of Manmohan Cardiothoracic Vascular and Transplant Centre, Institute of Medicine from February 2019 to March 2021. Ethical clearance for the study was taken from Institutional Review Committee, Institute of Medicine.</p><p>Our ICU enrolls postoperative cardiac, thoracic and vascular cases as well as those admitted from emergency department and wards requiring ICU. The demographic data on patient’s age and gender were collected. Patients in sepsis (defined on the basis of “The Third International Consensus definitions for Sepsis and Septic Shock”) were enrolled in the study.</p><p>The clinical specimens were received in the microbiology laboratory for culture and sensitivity. The specimens included were blood, urine, tracheal aspirate, central venous catheter tip and body fluids (pleural fluid).</p><p>The tracheal aspirate was inoculated onto blood agar and MacConkey agar and aerobically incubated at 37 degree Celsius for 24 hours. Chocolate and blood plates were inoculated in carbon dioxide at 35 - 37 degree Celsius and MacConkey in ambient air for 24 hours. Positive cultures that had isolates were identified and sensitivity cultures done.</p><p>Blood specimen was inoculated in brain heart infusion broth and incubated aerobically for 24 hours before subculturing onto blood agar, MacConkey agar and Chocolate agar.</p><p>Urine specimen was cultured in blood agar and MacConkey agar which was then incubated at 35 - 37 degree Celsius for (18 - 24) hours. Positive cultures were Gram stained and subcultured and tested for sensitivities.</p><p>Growth obtained on solid media after 24 hours of aerobic incubation was processed for identification and antimicrobial susceptibility. Antimicrobial susceptibility of bacterial isolates was determined by Kirby-Bauer disk diffusion method as recommended by CLSI (Clinical and Laboratory Standards Institute).Using sterile loop of four to five in number, the processing was done and the suspended solution made was then plated using a swab on Muller Hinton agar. Zone of inhibition was measured and interpreted as susceptible, intermediate or resistant. Antibiotic discs were obtained from HiMedia, Mumbai, India.</p><p>Organisms were identified using the colony characteristics, morphology of growth, Grams stain and different biochemical tests as per standard guidelines.</p><p>Data collection was done in a preformed sheet. Values were calculated as frequency, percentage and are presented in charts and tables. The graphical outline of the study design is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>Data Management and Analysis<p>Statistical analysis was done after the completion of the study. All the data analysis was performed using SPSS (Statistical Package for the Social Sciences) version 25. Demographics, frequency of the organisms, their sensitivity were evaluated using descriptive studies.</p></sec><sec id="s3"><title>3. Results</title>Demographic Characteristics<p>In our study, majority of the patients belonged to (61 - 80) year age group (<xref ref-type="table" rid="table1">Table 1</xref>). Among them, 84 (65.6%) patients were males while 44 (34.3%) were females belonging to different age groups (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Total samples sent for microbiological analysis during the study period was 128. There was no growth in 53 (41.4%) cases. Among the growths, majority of them were gram negative organisms. The isolated organism with highest incidence was Klebsiella (18.8%), Pseudomonas (9.4%), Acinetobacter (9.4%) followed by E. coli (7.8%). The only Gram positive isolate in our study was Coagulase Negative Staphylococcus aureus (3.1%) and there were no growths of Methicillin Resistant Staphylococcus aureus (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Age distribution of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percent</th><th align="center" valign="middle" >Valid Percent</th><th align="center" valign="middle" >Cumulative Percent</th></tr></thead><tr><td align="center" valign="middle"  rowspan="6"  >Valid</td><td align="center" valign="middle" >under 20</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >3.1</td></tr><tr><td align="center" valign="middle" >21 - 40</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >22.7</td><td align="center" valign="middle" >22.7</td><td align="center" valign="middle" >25.8</td></tr><tr><td align="center" valign="middle" >41 - 60</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >25.0</td><td align="center" valign="middle" >25.0</td><td align="center" valign="middle" >50.8</td></tr><tr><td align="center" valign="middle" >61 - 80</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >40.6</td><td align="center" valign="middle" >40.6</td><td align="center" valign="middle" >91.4</td></tr><tr><td align="center" valign="middle" >above 80</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >100.0</td><td align="center" valign="middle" >100.0</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Sex distribution of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >M Count</th><th align="center" valign="middle" >F Count</th><th align="center" valign="middle" >Total Count</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >Age groups</td><td align="center" valign="middle" >under 20</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >21 - 40</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >29</td></tr><tr><td align="center" valign="middle" >41 - 60</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >42</td></tr><tr><td align="center" valign="middle" >61 - 80</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >52</td></tr><tr><td align="center" valign="middle" >above 80</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >11</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Types of organisms isolated</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percent</th><th align="center" valign="middle" >Valid Percent</th><th align="center" valign="middle" >Cumulative Percent</th></tr></thead><tr><td align="center" valign="middle" >Pseudomonas Aeruginosa</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >9.4</td></tr><tr><td align="center" valign="middle" >Coagulase negative Staphylococcus aureus</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >12.5</td></tr><tr><td align="center" valign="middle" >Klebsiella Pneumoniae</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >18.8</td><td align="center" valign="middle" >18.8</td><td align="center" valign="middle" >31.3</td></tr><tr><td align="center" valign="middle" >no growth</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >41.4</td><td align="center" valign="middle" >41.4</td><td align="center" valign="middle" >72.7</td></tr><tr><td align="center" valign="middle" >E. coli</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >80.5</td></tr><tr><td align="center" valign="middle" >Burkhderia cepacia</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >84.4</td></tr><tr><td align="center" valign="middle" >Citrobacter Species</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >88.3</td></tr><tr><td align="center" valign="middle" >Proteous vulgaris</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >89.8</td></tr><tr><td align="center" valign="middle" >Acinetobacter CB complex</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >97.7</td></tr><tr><td align="center" valign="middle" >Acinetobacter baumanii complex</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >99.2</td></tr><tr><td align="center" valign="middle" >Yeast</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >100.0</td><td align="center" valign="middle" >100.0</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>The distribution of clinical isolates in different specimens is shown in (<xref ref-type="table" rid="table4">Table 4</xref>). Majority of growth of the commonest organisms were seen in tracheal aspirate (46.8%) and blood (21.8%).</p><p>Antimicrobial sensitivity pattern of the different major bacterial isolates to different antimicrobials is shown in (<xref ref-type="table" rid="table5">Table 5</xref>). Klebsiella species showed less than 40 percent sensitivity to most of the antibiotics including amikacin, meropenem,imipenem, tazobactum piperacillin except Polymyxin and Colistin (Graph 1) whereas for Pseudomonas aeruginosa it was found to be less than 70 percent to these antibiotics (Graph 2).</p><p>The sensitivity pattern of acinetobacter species shows the following pattern—amikacin (21%), imipenem (14%), tazobactum piperacillin (7%) wheras E. coli showed 54 percent sensitivity to meropenem and imipenem (Graph 3).</p><p>The last resort antibiotics Polymyxin B and Colistin were the only antibiotics showing highest sensitivity. Polymyxin B was the most effective antibiotic against Klebsiella (91%) and Pseudomonas (88%) respectively whereas Polymyxin B and Colistin showed equal efficacy against acetinobacter (85%).</p><p>The most commonly used antibiotics in our set up are Ceftriaxone, Flucloxacillin, Gentamycin, Meropenem, Amoxicillin/Clavulanic acid. From our study, the commonest antimicrobials have shown less than 60 percent sensitivity toward one of the higher group of antibiotics (Carbapenems) whereas the only antibiotics showing highest sensitivity were the last resort ones(Polymyxin B and Colistin) and this is alarming.</p><p>De-escalation of antibiotic was done on the basis of culture directed results and procalcitionin levels. Hence, these findings definitely point towards the</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Isolates from various specimens</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Blood</th><th align="center" valign="middle" >Tracheal Aspirate</th><th align="center" valign="middle" >Urine</th><th align="center" valign="middle" >Central Venous Catheter Tip</th><th align="center" valign="middle" >Body Fluids</th></tr></thead><tr><td align="center" valign="middle"  rowspan="14"  >Types of organism</td><td align="center" valign="middle" >Pseudomonas aeruginosa</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Coagulase Negative Staphylococcus aureus</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Methicilin Resistant Staphylococcus aureus</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Klebsiella pneumoniae</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle" >Citrobacter freundi</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >no growth</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >E. coli</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Burkhderia cepacia</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Citrobacter species</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Proteus vulgaris</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Acinetobacter CB complex</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >Acinetonobacter baumanii complex</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Staphylococcus aureus</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Yeast</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Antimicrobial sensitivity pattern of different major bacterial isolates sensitive to different antibiotics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Antibiotic</th><th align="center" valign="middle" >Klebsiella</th><th align="center" valign="middle" >Pseudomonas aeruginosa</th><th align="center" valign="middle" >Acetinobacter Species</th><th align="center" valign="middle" >E. coli</th></tr></thead><tr><td align="center" valign="middle" >Colistin</td><td align="center" valign="middle" >13(52%)</td><td align="center" valign="middle" >10 (83%)</td><td align="center" valign="middle" >12 (85%)</td><td align="center" valign="middle" >7 (63%)</td></tr><tr><td align="center" valign="middle" >Polymyxin B</td><td align="center" valign="middle" >22 (88%)</td><td align="center" valign="middle" >11 (91%)</td><td align="center" valign="middle" >12 (85%)</td><td align="center" valign="middle" >11 (100%)</td></tr><tr><td align="center" valign="middle" >Amikacin</td><td align="center" valign="middle" >7 (28%)</td><td align="center" valign="middle" >8(66%)</td><td align="center" valign="middle" >3 (21%)</td><td align="center" valign="middle" >3 (27%)</td></tr><tr><td align="center" valign="middle" >Imipenem</td><td align="center" valign="middle" >9 (36%)</td><td align="center" valign="middle" >7 (58%)</td><td align="center" valign="middle" >2 (14%)</td><td align="center" valign="middle" >6 (54%)</td></tr><tr><td align="center" valign="middle" >Meropenem</td><td align="center" valign="middle" >6 (24%)</td><td align="center" valign="middle" >6 (50%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >6 (54%)</td></tr><tr><td align="center" valign="middle" >Chloramphenicol</td><td align="center" valign="middle" >5 (20%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Cotimoxazole</td><td align="center" valign="middle" >3 (12%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2 (14%)</td><td align="center" valign="middle" >2 (18%)</td></tr><tr><td align="center" valign="middle" >Piperacilin/Tazobactam</td><td align="center" valign="middle" >1 (4%)</td><td align="center" valign="middle" >6 (50%)</td><td align="center" valign="middle" >1 (7%)</td><td align="center" valign="middle" >1 (9%)</td></tr><tr><td align="center" valign="middle" >Levofloxacin</td><td align="center" valign="middle" >3 (12%)</td><td align="center" valign="middle" >4 (33%)</td><td align="center" valign="middle" >2 (14%)</td><td align="center" valign="middle" >2 (18%)</td></tr><tr><td align="center" valign="middle" >Ciprofloxacin</td><td align="center" valign="middle" >4 (16%)</td><td align="center" valign="middle" >7 (58%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1 (9%)</td></tr><tr><td align="center" valign="middle" >Tigecycline</td><td align="center" valign="middle" >3 (12%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4 (28%)</td><td align="center" valign="middle" >3 (27%)</td></tr><tr><td align="center" valign="middle" >Cefoperazone/Sulbactam</td><td align="center" valign="middle" >2 (8%)</td><td align="center" valign="middle" >1 (8%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1 (9%)</td></tr><tr><td align="center" valign="middle" >Doxycycline</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Ofloxacin</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2 (16%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Vancomycin</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Clindamycin</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Gentamycin</td><td align="center" valign="middle" >1 (4%)</td><td align="center" valign="middle" >1 (8%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Linezolid</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Teicoplanin</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Ceftriaxone</td><td align="center" valign="middle" >2 (8%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Amoxicilin</td><td align="center" valign="middle" >1 (4%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Ceftazidime</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1 (8%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><p>extensive surge of sensitivity of major bacterial growths towards higher antibiotics (especially Carbapenems, Polymyxin B and Colistin).</p></sec><sec id="s4"><title>4. Discussion</title><p>Antimicrobial resistance is an emerging clinical problem in all the ICUs throughout the world. Both Gram positive and Gram-negative bacteria are reported as important causes of hospital acquired infections [<xref ref-type="bibr" rid="scirp.124069-ref6">6</xref>] . ICUs are facing increasingly rapid emergence and spread of antimicrobial resistant bacteria. Moreover, antimicrobials are prescribed prophylactically and empirically without carrying out sensitivity studies particularly in developing countries.</p><p>Presently in most the institutes, antibiotic therapy is either based on the studies conducted in western countries or is according to the treating physicians’ clinical experience, which might not adequately reflect the sensitivity and resistance pattern. Therefore, the present study is undertaken to observe the microorganism profile and antibiotic susceptibility pattern of various microbes in Cardiothoracic and Vascular ICU.</p><p>Microbial growth was seen in 75 out of 128 samples (58.5%) which may be due to nature of admission criteria in our set up (includes post operative, emergency and ward cases requiring ICU).</p><p>The majority growth from the isolates were Gram negative organisms (Klebsiella, Pseudomanas, Acetinobacter, E. coli) which was also seen in the study done by Sheth k et al., and also in similar studies done in USA, Serbia, Egypt, Indonesia and India [<xref ref-type="bibr" rid="scirp.124069-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.124069-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.124069-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.124069-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.124069-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.124069-ref9">9</xref>] .</p><p>Our results show negligible sensitivity of Cephalosporins (&lt;10%) towards the commonest organisms indicating towards their overuse which was similar to the findings of the study done by Sheth et al. [<xref ref-type="bibr" rid="scirp.124069-ref6">6</xref>] .</p><p>None of the commonest isolates showed 100 percent sensitivity towards any antibiotics except E. coli to Polymyxin B. The highest sensitivity by the commonest isolates is towards Polymyxin B and Colistin only, which is alarming.</p><p>Radji et al. evaluated the sensitivity pattern of bacterial pathogen in the intensive care unit (ICU) of a tertiary level hospital. Cross sectional retrospective study of bacterial pathogens was carried out on a total of 722 patients that were admitted to ICU. They found most bacteria were resistant to third generation Cephalosporins and Quinolone antibiotics [<xref ref-type="bibr" rid="scirp.124069-ref4">4</xref>] . Fluoroquinolones and Aminoglycosides have also shown less than 50 percent sensitivity towards Klebsiella, Acetinobacter and E. coli except Pseudomonas in our study.</p><p>Syal et al. conducted similar study in Indira Gandhi Medical College. They collected endotracheal tube culture samples and of the total samples 56.3% showed growth of microorganisms. The culture isolates demonstrated high degree of resistance to most of the antibiotics tested. [<xref ref-type="bibr" rid="scirp.124069-ref4">4</xref>]</p><p>Dessie et al. did a similar study to determine bacterial pathogens and drug susceptibility from surgical site-infected wound specimens. From a total of 107 swabs collected, 90 (84.1%) were culture positive and 104 organisms were isolated. E. coli (23.1%) was the most common organism isolated, followed by multidrug resistant Acetinobacter species (22.1%). More than 58 (75%) of gram negative isolates showed multiple drug resistance. [<xref ref-type="bibr" rid="scirp.124069-ref10">10</xref>]</p><p>Irrational use of antibiotics leads to the emergence and dissemination of resistant organisms and upsurges its treatment costs. So development of antibiogram strategies is imperative in all ICUs for effective treatment strategies and reducing the spread of resistance patterns.</p></sec><sec id="s5"><title>5. Limitations</title><p>1) Retrospective design.</p><p>2) Laboratory error is one of the major concerns.</p><p>3) Sampling techniques (bronchoalveolar lavage might have been more informative than tracheal aspirate) can have influencing reports.</p><p>4) Less sample size is due to the influence of COVID 19 pandemic era.</p><p>5) Due to limited laboratory facilities, we were unable to investigate anaerobic organisms.</p></sec><sec id="s6"><title>6. Conclusion</title><p>Different bacteriological profiles with multidrug resistant patterns have been found in different setups because of geographical region, population, lack of antibiogram, inefficient Institutional and government policies. Hence measures like regular surveillance of antibiotic susceptibility patterns of individual setups, strict infection control measures, antibiotic policy formulation, and its implementation will have a major impact on reducing the surge of multidrug resistant organisms.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Shrestha, B., Bastola, P., Pradhan, B., Gurung, A., Ghimire, B. and Bhattarai, A. (2023) Microbiological and Antibiotic Susceptibility Patterns in Cardiothoracic and Vascular Intensive Care Unit of a Tertiary Level Hospital in Nepal. World Journal of Cardiovascular Surgery, 13, 61-70. https://doi.org/10.4236/wjcs.2023.133006</p></sec></body><back><ref-list><title>References</title><ref id="scirp.124069-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Brusselaers, N., Vogelaers, D. and Blot, S. (2011) The Rising Problem of Antimicrobial Resistance in the Intensive Care Unit. Annals of Intensive Care, 1, Article No. 47. https://doi.org/10.1186/2110-5820-1-47</mixed-citation></ref><ref id="scirp.124069-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Radji, M., Fauziah, S. and Aribinuko, N. (2011) Antibiotic Sensitivity Pattern of Bacterial Pathogens in the Intensive Care Unit of Fatmawati Hospital, Indonesia. 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