Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Report, Medical Science and Practice
Case Report, Neurosciences and Behavioral Sciences
Commentaries, Neurosciences and Behavioural Sciences
Drug Evaluation and Clinical Trials, Original Research Article
Editorial
Epidemiology and Public Health, Original Research Article
Ethnomedicine and Phytomedicines, Original Research Article
Ethnomedicine and Phytomedicines, Review Article
Medical Science and Practice, Case Report
Medical Science and Practice, Original Research Article
Minireview Pharmacology and Toxicology
Minireview, Pharmacy Profession and Advocacy
Miniview, Pharmaceutical Education
Original Research Article, Drug Evaluation and Clinical Trials
Original Research Article, Drug Research and Development
Original Research Article, Epidemiology and Public Health
Original Research Article, Ethnomedicine and Phytomedicines
Original Research Article, Microbiology and Immunology
Original Research Article, Neurology
Original Research Article, Pharmaceutical Education
Original Research Article, Pharmaceutical Technology and Manufacturing
Original Research Article, Pharmaceutics and Drug Delivery
Original Research Article, Pharmacotherapy/Pharmaceutical Care
Original Research Article, Pharmacy Practice
Pharmaceutical Technology and Manufacturing, Original Research Article
Pharmacology and Toxicology, Original Research Article
Pharmacotherapy/Pharmaceutical Care, Case Report
Pharmacotherapy/Pharmaceutical Care, Original Research Article
Pharmacy Practice, Original Research Article
Pharmacy Profession and Advocacy, Original Research Article
Review Article
Review Article, Medical Devices
Review Article, Perspective
Review Article, Pharmacotherapy/Pharmaceutical Care
Review Article, Pharmacy Practice
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Report, Medical Science and Practice
Case Report, Neurosciences and Behavioral Sciences
Commentaries, Neurosciences and Behavioural Sciences
Drug Evaluation and Clinical Trials, Original Research Article
Editorial
Epidemiology and Public Health, Original Research Article
Ethnomedicine and Phytomedicines, Original Research Article
Ethnomedicine and Phytomedicines, Review Article
Medical Science and Practice, Case Report
Medical Science and Practice, Original Research Article
Minireview Pharmacology and Toxicology
Minireview, Pharmacy Profession and Advocacy
Miniview, Pharmaceutical Education
Original Research Article, Drug Evaluation and Clinical Trials
Original Research Article, Drug Research and Development
Original Research Article, Epidemiology and Public Health
Original Research Article, Ethnomedicine and Phytomedicines
Original Research Article, Microbiology and Immunology
Original Research Article, Neurology
Original Research Article, Pharmaceutical Education
Original Research Article, Pharmaceutical Technology and Manufacturing
Original Research Article, Pharmaceutics and Drug Delivery
Original Research Article, Pharmacotherapy/Pharmaceutical Care
Original Research Article, Pharmacy Practice
Pharmaceutical Technology and Manufacturing, Original Research Article
Pharmacology and Toxicology, Original Research Article
Pharmacotherapy/Pharmaceutical Care, Case Report
Pharmacotherapy/Pharmaceutical Care, Original Research Article
Pharmacy Practice, Original Research Article
Pharmacy Profession and Advocacy, Original Research Article
Review Article
Review Article, Medical Devices
Review Article, Perspective
Review Article, Pharmacotherapy/Pharmaceutical Care
Review Article, Pharmacy Practice
View/Download PDF

Translate this page into:

Original Research Article
Microbiology and Immunology
2025
:4;
1
doi:
10.25259/AJPPS_2025_001

Antimicrobial resistance pattern and species distribution profile of aerobic bacteria causing sterile body fluid infection from a tertiary care hospital

Department of Microbiology, Subharti Medical College, Meerut, Uttar Pradesh, India.

*Corresponding author: Peetam Singh, MD Department of Microbiology, Subharti Medical College, Meerut, Uttar Pradesh, India. kgmclko@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Khatiyan S, Singh P, Pandey A. Antimicrobial resistance pattern and species distribution profile of aerobic bacteria causing sterile body fluid infection from a tertiary care hospital. Am J Pharmacother Pharm Sci 2025:01.

Abstract

Objectives:

Body fluids such as pleural fluid, ascitic fluid, and cerebrospinal fluid are sterile but they can get infected by different microorganisms leading to life-threatening infections. We conducted this study to evaluate the distribution profile of various aerobic bacteria and their antimicrobial resistance pattern isolated from sterile body fluids from the patients attending a tertiary care hospital in North India.

Materials and Methods:

This hospital-based cross-sectional observational study was conducted in the Department of Microbiology of a tertiary care hospital. A total of 495 sterile body fluid samples were processed for species-level identification of aerobic bacteria by conventional methods following standard laboratory procedures. The antimicrobial susceptibility testing was performed by Kirby–Bauer disc diffusion method according to clinical and laboratory standards institute guidelines 2020.

Results:

Out of a total of 495 sterile body fluid samples, 48 were found positive on culture for bacterial pathogens. The predominant organisms isolated from sterile body fluids were Acinetobacter species (35%), followed by Klebsiella species (23%), Escherichia coli (13%), Pseudomonas species (12%), Staphylococcus aureus (13%), and Streptococcus species (4%). All of the Gram-negative isolates were 100% sensitive to Colistin followed by amikacin (67.50%) and gentamicin (60%). The Gram-positive isolates were 100% sensitive to vancomycin and linezolid followed by gentamicin (50%).

Conclusion:

Infections of sterile body fluids can lead to high morbidity and mortality. The knowledge of the bacteriological and antimicrobial resistance profile of bacteria causing sterile body fluid infections is vital in determining appropriate antimicrobial therapy.

Keywords

Antimicrobial resistance
Extended-spectrum beta-lactamase
Multidrug resistant organisms
Methicillin-resistant Staphylococcus aureus
Sterile body fluid infection

INTRODUCTION

The body fluids present in different body cavities are sterile. These include cerebrospinal fluid (CSF), pleural fluid, peritoneal fluid, synovial fluid, and pericardial fluid.[1]

However, during any infection of the central nervous system, peritoneum, joints or any other sterile sites, different types of bacteria, fungi, viruses, and parasites invade and change the physicochemical nature of these body fluids and, therefore, alter their ability to perform their normal functions.[2] Often these infections have high morbidity and mortality; thus, a timely diagnosis and immediate treatment is crucial.[1] Early identification of these organisms with antimicrobial susceptibility is necessary for the proper management of these infections. This can help clinicians initiate early and targeted antimicrobial therapy, which will reduce the hospital length of stay and reduce the risk of adverse effects.[2]

Data on antimicrobial susceptibility testing of the organisms isolated from sterile body fluids over a period of time can be used to create a local antibiogram. The knowledge of common causative organisms in various sterile body sites and their antimicrobial susceptibility pattern can help in starting appropriate empirical antibiotics.[3] The culture positivity rate in sterile fluids is comparatively low varying from 10% to 30%. Moreover, the patients are empirically treated with some antibiotics before sample collection, which hinders bacterial growth. However, the emergence of multidrug-resistant (MDR) organisms in sterile body fluids is also becoming a challenge for clinicians and there is an urgent need for judicious use of antibiotics which can significantly reduce the morbidity, length of hospital stay, and mortality among patients with such infections.[3-5]

The positive cultures are expected to be low due to less number of pathogens as well as prior administration of empirical antibiotics especially in intensive care units.[1] Recently, the World Health Organization and European Commission have recognized the importance of studying the emergence and the determinants of antibiotic resistance and the need for strategies for its control.[6] The reports from Centers for Disease Control and Prevention suggested that strains are developing resistance to many antibiotics. The tendency of increasing antibiotic resistance in today’s scenario needs careful prescription and rational use of antibiotics based on antibiotic sensitivity testing results.[7]

There are only few studies available on sterile body fluid infections from this geographical region of North India including the studies by Rouf et al. and Sharma et al.[3,4] We planned this study to observe the frequency of occurrence of sterile body fluid infections, along with the species distribution and antimicrobial resistance pattern of the aerobic bacteria causing these infections.

MATERIALS AND METHODS

This cross-sectional study was conducted in a tertiary care hospital for a period of one year from January 2020 to December 2020. The clinical sterile body fluid specimens from patients were collected in accordance with the inclusion and exclusion criteria. Patients were included in the study if (1) they had all sterile body fluids collected, (2) are of any age, and (3) are of any gender. Patients were excluded if they had (1) a history of antibiotic therapy before sample collection, (2) samples other than sterile body fluids collected, and (3) pathogens other than aerobic bacteria grown on culture, and had blood samples collected.

Sample processing

Standard microbiological techniques were used for processing the clinical samples including:

  1. Direct microscopy of the Gram-stained smears from the specimens

  2. Culture on blood agar, chocolate agar, and MacConkey agar plates for aerobic bacterial isolation

  3. Infusion of the clinical specimens into brain-heart-infusion (BHI) broth for enrichment. The BHI broth and inoculated agar plates were incubated at 37°C aerobically. The culture plates and BHI broth were examined for the presence of any growth after 24 h and then again after 48 h. Standard biochemical testing and microbiological techniques were used to identify the bacterial pathogens cultivated on culture media.

Antimicrobial susceptibility testing (AST)

The AST was performed for isolated organisms by the Kirby–Bauer disc diffusion method and interpretation was done according to Clinical and Laboratory Standards Institute (CLSI) guidelines 2020.[8] The minimum inhibitory concentration based methods were used for AST of vancomycin and colistin. The antibiotic panels and disk content of antibiotics used for Gram-positive cocci (GPC) and Gram-negative bacilli (GNB) according to CLSI guidelines 2020.[8]

RESULTS

A total of 495 sterile body fluid samples received for culture during the study period were processed out of which 48 (9.69%) were found positive. The sample-wise distribution of culture positivity is shown in Figure 1.

Sample-wise culture positivity of sterile body fluid. CSF: Cerebrospinal fluid
Figure 1:
Sample-wise culture positivity of sterile body fluid. CSF: Cerebrospinal fluid

The sterile body fluid culture positivity rate was highest for ages between 31 and 40, followed by 41–50, and 51–60 years [Table 1]. The culture positivity rate of sterile body fluids was higher in intensive care unit (ICU) patients (58%) as compared to patients from other wards (42%). The department-wise distribution of culture positivity of sterile body fluids is shown in Table 2.

Table 1: Age-wise distribution of samples.
Age Group Total samples (n=495) Culture positive samples (n=48) Culture positivity rate (%)
<10 Years 91 6 6.59
11–20 Years 49 3 6.12
21–30 Years 54 5 9.25
31–40 Years 54 12 22.22
41–50 Years 63 9 14.28
51–60 Years 80 8 10
61–70 Years 66 1 1.51
>70 Years 38 3 7.89
Table 2: Department-wise distribution of culture-positive samples.
Department Number of samples Percentage
Medicine 17 35
Respiratory medicine 12 25
Surgery 10 21
Pediatrics 5 10
Orthopedics 2 4
Emergency 2 4

There was predominance of GNB (83%%) over GPC (17%) in the sterile body fluids. The most commonly isolated GPC was Staphylococcus aureus (75.00%) followed by Streptococcus species (25.00%). Among all S. aureus isolates, 66.66% were methicillin resistant S. aureus (MRSA) while 33.34% were methicillin sensitive S. aureus (MSSA). Among all GNB isolates, Acinetobacter was predominant followed by Klebsiella, Escherichia coli, and Pseudomonas. The proportion of various bacteria isolated from sterile body fluids is shown in Table 3.

Table 3: Distribution of all bacterial isolates.
Name of isolate Number of isolate Percentage
Acinetobacter 17 35
Klebsiella 11 24
Escherichia coli 6 12
Pseudomonas 6 12
Staphylococcus aureus 6 12
Streptococcus 2 5

The AST results showed majority of S. aureus isolates resistant against penicillin, cefoxitin, cotrimoxazole, and moxifloxacin comprising 66.67%. The AST patterns of GPC (S. aureus) and GNB isolates are shown in Tables 4 and 5, respectively.

Table 4: Sensitivity pattern of Staphylococcus aureus (n=6).
Antibiotics Sensitive isolates; Number (%)
Penicillin 2 (33.3)
Erythromycin 4 (66.7)
Clindamycin 3 (50)
Cotrimoxazole 2 (33.3)
Tetracycline 4 (66.7)
Ciprofloxacin 4 (66.7%)
Moxifloxacin 2 (33.3)
Chloramphenicol 3 (50)
Gentamicin 4 (66.7)
Linezolid 6 (100)
Vancomycin 6 (100)
Cefoxitin 2 (33.3)
Table 5: Sensitivity pattern of Gram-negative bacilli (n=40).
Antibiotics Acinetobacter(n=17);
Number (%)
Klebsiella(n=11);
Number (%)
Escherichia coli(n=6);
Number (%)
Pseudomonas(n=6);
Number (%)
Ampicillin 3 (17.65) 3 (27.27) 4 (66.67) -
Piperacillin 3 (17.65) 4 (36.36) 4 (66.67) 4 (66.67)
Amoxicillin-clavulanic acid 5 (29.41) 5 (45.45) 3 (50) -
Ampicillin-sulbactum 9 (52.94) 2 (18.18) 4 (66.67) -
Piperacillin-tazobactum 4 (23.53) 7 (63.63) 4 (66.67) 4 (66.67)
Tetracycline 5 (29.41) 6 (54.54) 2 (33.33) -
Cotrimoxazole 7 (41.18) 2 (18.18) 1 (16.67) -
Ciprofloxacin 8 (47.06) 2 (18.18) 3 (50) 4 (66.67)
Cefixime 2 (11.76) 3 (27.27) 3 (50) -
Ceftazidime 0 3 (27.27) 3 (50) 4 (66.67)
Ceftriaxone 0 3 (27.27) 3 (50) -
Aztreonam 0 4 (36.36) 4 (66.67) 4 (66.67)
Cefepime 1 (5.88) 1 (9.09) 1 (16.67) 4 (66.67)
Gentamicin 10 (58.82) 3 (27.27) 5 (83.33) 4 (66.67)
Amikacin 12 (70.59) 4 (36.36) 5 (83.33) 4 (66.67)
Tobramycin 14 (82.35) 4 (36.36) 5 (83.33) 4 (66.67)
Ertapenem 2 (11.76) 3 (27.27) 4 (66.67) -
Meropenem 2 (11.76) 3 (27.27) 4 (66.67) 4 (66.67)
Imipenem 3 (17.65) 4 (36.36) 4 (66.67) 4 (66.67)
Colistin 17 (100) 11 (100) 6 (100) 6 (100)

The results of screening testing for extended spectrum beta-lactamase (ESBL) and carbapenemase producing GNBs are shown in Table 6.

Table 6: Distribution of ESBL and carbapenemase producing GNBs.
Organism ESBL Screening Carbapenemase Screening
Positive; Number (%) Negative; Number (%) Positive; Number (%) Negative; Number (%)
Acinetobacterspecies (n=17) - - 14 (82) 3 (18)
Klebsiella pneumoniae (n=11) 8 (73) 3 (27) 8 (73) 3 (27)
Escherichia coli (n=6) 2 (33) 4 (67) 2 (33) 4 (67)
Pseudomonasspecies (n=6) - - 2 (33) 4 (67)

ESBL: Extended-spectrum beta-lactamase, GNB: Gram-negative bacilli

DISCUSSION

Sterile body fluid infections are an important cause of serious morbidity and mortality and are considered among the most common health-care-associated infections. The condition can be life-threatening in critically ill patients. In the present study, 495 samples of various sterile body fluids were processed and analyzed by culture and AST. The sterile body fluid culture positivity rate in our hospital was 9.69%. There are variations in the culture positivity rates of sterile body fluids as documented in literature from various studies. Similar positivity rates were also reported in various other studies from same region, including the studies conducted by Rouf and Nazir in 2019 and Sharma et al. in 2018 from North India. They reported a culture positivity rate of 10% and 15%, respectively.[3,4] A higher positivity rate of 16.70% was observed in a study conducted by Shume et al. from Eastern Ethiopia.[7] The aerobic bacterial isolates from sterile body fluids were predominantly isolated from male patients (57.37%) as compared to female patients (42.63%). Similar findings were reported in a study conducted by Teklehymanot et al. from Ethiopia comprising 40.70% male and 59.30% female.[9] The predominance in males over females was also reported by Sharma et al. from North India.[4] The age-wise distribution of patients with culture positive sterile body fluids revealed that maximum number of isolates were seen in ages between 31 and 40 years, followed by ages between 41–50, and 51–60 years.

The differences between various age groups may be due to various factors including immune status of the patients and associated factors. We observed more cases in ICU patients comprising 28 (58.33%) as compared to patients from other wards comprising 20 (41.67%). These findings highlight the factors associated with ICU stay including patient-related comorbidities.

In our study, there was predominance of GNBs (83%) as compared to GPCs (17%). Similar findings were also reported in other studies including the studies conducted by Sharma et al. in 2018 from North India, Shume et al. in 2022 from Eastern Ethiopia, and Sandhya et al. in 2019 from India and they reported 90%, 70.6%, and 71% of GNBs, respectively, as compared to GPCs.[4,7,10] There is huge variation in the distribution of GNBs and GPCs as reported in various studies. There are studies in which either no predominance or predominance of GPCs over GNBs was reported such as a study by Bourbeau et al. from United States of America reported no predominance, while studies by Vishalakshi et al. and Pal et al. from India reported the predominance of GPCs over GNBs.[11-13]

Acinetobacter species (42.5%) were found to be most predominant, followed by Klebsiella pneumoniae (26.5%), E. coli (15%), and Pseudomonas species (15%) in GNB isolates. There are variations between the findings reported in various studies including the data reported by Madigubba et al. from South India comprising E. coli (40.10%), Acinetobacter species (22.60%), Pseudomonas species (18.20%), and K. pneumoniae (14.80%).[14] S. aureus was the most frequently isolated (75%) followed by Streptococcus species (25%) in GPCs. Antibiogram of all the bacterial isolates indicates that GNBs exhibited a higher level of antimicrobial resistance toward various antibacterial agents. All the S. aureus isolates were found 100% sensitive to vancomycin and linezolid. All of the GNB isolates were found sensitive to colistin.

Most of the S. aureus isolates were methicillin resistant (66.67%) as well as resistant to penicillin, cefoxitin, cotrimoxazole, and moxifloxacin comprising 66.67%. The increasing prevalence of MRSA infection is a serious problem in patient management as therapeutic options are limited for such resistant strains. Vancomycin is a drug of choice for the treatment of MRSA infection. However, tolerance to vancomycin in MRSA isolates is on the rise. The antibiotics such as linezolid and vancomycin are the only alternative therapeutic agents for these MDR pathogens. Linezolid is one of the few therapeutic options shown to be effective against MDR Staphylococcal infections and is available both as oral and parenteral formulations. If resistance develops to these drugs, we are left with no therapeutic options. Due to the ease of oral administration, linezolid has been misused in clinical practice. Thus, judicious use of these reserve antibiotics and strict implementation of infection control measures are the only ways to prevent spread and reduce emergence of resistance. None of the isolates was found resistant to colistin in our study which is similar to the resistance pattern reported by Tullu et al. from South India.[15] Colistin and tigecycline are the last resort of drugs remaining for the treatment of MDR pathogens. Among all GNBs, 73% of K. pneumoniae isolates were ESBL producers while 82% of Acinetobacter isolates and 73% of K. pnemoniae isolates were carbapenemase producers. The most of the studies conducted on this subject highlighted the higher rates of isolation of MDR pathogens from sterile body fluid infections globally including the studies conducted by Shume et al. in 2022 from Eastern Ethiopia, Ebrahim et al. in 2020, Tsegay et al. in 2019 from Northern Ethiopia, and Li et al. in 2022 from China.[7,16-18] These MDR pathogens frequently lead to therapy failure and higher chances of morbidity and mortality especially among critical patients admitted to ICUs with various comorbidities.

Limitations of the study

We did not perform molecular characterization of resistance genes associated with antimicrobial resistance as well as the confirmation of bacterial identification by genetic methods due to limited resources.

CONCLUSION

The majority of the bacteria implicated in sterile body fluid infections are MDR and this is the time to stress on antimicrobial stewardship. The antibiogram and identification profile of bacteria-based antibiotic treatment guidelines as well as the antibiotic policy and antibiotic restriction policy of a particular hospital should be strictly followed to prevent the emergence of antimicrobial resistance.

Ethical approval

The research/study approved by the University Ethics Committee (Medical), Swami Vivekanand Subharti University, Meerut, number SMC/UECM/2019/56/68, dated December 26, 2019.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship

None.

References

  1. , , , et al. Bacteriology of body fluids with an evaluation of enrichment technique to increase culture positivity. J Evol Med Dent Sci. 2014;3:15230-15238. doi: 10.14260/jemds/2014/4050
    [CrossRef] [Google Scholar]
  2. , , , et al. Risk score for identifying adults with CSF pleocytosis and negative CSF Gram stain at low risk for an urgent treatable cause. J Infect. 2013;67:102-110. doi: 10.1016/j.jinf.2013.04.002
    [CrossRef] [PubMed] [Google Scholar]
  3. , . Aerobic bacteriological profile and antimicrobial sensitivity pattern of bacteria isolated from sterile body fluids: A study from a tertiary care hospital in North India. Microbiol Res J Int. 2019;28:1-10. doi: 10.9734/mrji/2019/v28i130123
    [CrossRef] [Google Scholar]
  4. , , . Bacterial profile, their anti biogram and a light on emerging multi drug resistant organisms from sterile body fluids in a Northern tertiary care hospital in India. J Bacteriol Mycol. 2018;6:249-252. doi: 10.15406/jbmoa.2018.06.00213
    [CrossRef] [Google Scholar]
  5. , , . Spontaneous bacterial peritonitis: Recent guidelines and beyond. Gut. 2012;61:297-310. doi: 10.1136/gutjnl-2011-300779
    [CrossRef] [PubMed] [Google Scholar]
  6. . The world is running out of antibiotics, who report confrms. . World Health Organization. Available from: https://www.who.int/news/item/20-09-2017-the-world-is-running-out-of-antibiotics-who-report-confirms [Last accessed on 2023 Dec 05]
    [Google Scholar]
  7. , , , et al. Aerobic bacterial profile and their antibiotic susceptibility patterns of sterile body fluids among patients at Hiwot Fana specialized university hospital, Harar, Eastern Ethiopia. Infect Drug Resist. 2022;15:581-593. doi: 10.2147/IDR.S351961
    [CrossRef] [PubMed] [Google Scholar]
  8. . M100: Performance standard for antimicrobial susceptibility testing (30th ed). USA, Wayne, PA: Clinical and Laboratory Standards Institute; .
    [Google Scholar]
  9. , , . Bacterial profile and their antimicrobial resistance patterns from body fluids at Tikur Anbesa specialized hopital, Addis Ababa, Ethiopia. Biol Med. 2017;9:408. doi: 10.4172/0974-8369.1000408
    [CrossRef] [Google Scholar]
  10. , , , et al. A study of bacteriological profile of sterile body fluids in a tertiary care hospital. Int J Sci Res. 2019;8:41-45.
    [Google Scholar]
  11. , , , et al. Use of the BacT/Alert blood culture system for culture of sterile body fluids other than blood. JClin Microbiol. 1998;36:3273-3277. doi: 10.1128/JCM.36.11.3273-3277.1998
    [CrossRef] [PubMed] [Google Scholar]
  12. , , . A study on aerobic bacteriological profile of sterile body fluids. Int J Curr Microbiol Appl Sci. 2016;5:120-126. doi: 10.20546/ijcmas.2016.505.013
    [CrossRef] [Google Scholar]
  13. , , , et al. Optimum time to detection of bacteria and yeast species with BACTEC 9120 culture system from blood and sterile body fluids. J Lab Physicians. 2009;1:69-72. doi: 10.4103/0974-2727.59703
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , et al. Bacteriological profile and antimicrobial susceptibility pattern in sterile body fluid specimens from a tertiary care hospital, South India. J Curr Res Sci Med. 2020;6:96-101. doi: 10.4103/jcrsm.jcrsm_10_20
    [CrossRef] [Google Scholar]
  15. , , . Bacterial profile and antimicrobial susceptibility pattern in catheter related nosocomial infections. J Postgrad Med. 1998;44:7-13.
    [Google Scholar]
  16. , , . Bacterial profile and antimicrobial susceptibility pattern of isolates recovered from sterile body fluids referred to the national reference laboratory. Lancet Planet Health. 2020;4:e379-e380.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , et al. Bacterial isolates and drug susceptibility pattern of sterile body fluids from tertiary hospital, Northern Ethiopia: A four-year retrospective study. J Pathog. 2019;2019:5456067. doi: 10.1155/2019/5456067
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , et al. Study on the detection and infection distribution of multidrug-resistant organisms in different specimens. Infect Drug Resist. 2022;15:5945-5952. doi: 10.2147/IDR.S375682
    [CrossRef] [PubMed] [Google Scholar]
Show Sections