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Research Article | Volume 17 Issue 3 (March, 2025) | Pages 110 - 114
Study Of Isolation of Pseudomonas Aeruginosa and Its Susceptibility Pattern from Various Clinical Samples in Tertiary Care Hospital
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1
Final year Post Graduate, Department of Microbiology, Government Medical College, Ongole, Andhra Pradesh, India.
2
Assistant Professor, Department of Microbiology, Government Medical College, Ongole, Andhra Pradesh, India
3
Assistant Professor, Department of Microbiology, Government Medical College, Ongole, Andhra Pradesh, India.
4
Professor and Head, Department of Microbiology, Government Medical College, Ongole, Andhra Pradesh, India
Under a Creative Commons license
Open Access
Received
Feb. 8, 2025
Revised
Feb. 21, 2025
Accepted
March 2, 2025
Published
March 25, 2025
Abstract

Background: Pseudomonas aeruginosa is a significant opportunistic pathogen frequently causing nosocomial infections, particularly among immunocompromised patients. The rise in multidrug-resistant (MDR) strains has heightened morbidity and mortality, emphasizing the importance of routine antimicrobial susceptibility testing. Objectives: This study aimed to isolate P. aeruginosa from diverse clinical specimens and assess their antimicrobial susceptibility patterns. Methods: A total of 500 clinical samples from patients at Government General Hospital, Ongole, Andhra Pradesh, were analyzed between July and November 2024. Samples included pus (n=223), urine (n=183), sputum (n=60), and blood (n=34). Standard microbiological techniques were employed to isolate and identify P. aeruginosa. Antibiotic susceptibility testing (AST) was performed using the Kirby-Bauer disc diffusion method. Results: Out of 500 samples, 34 isolates were confirmed as P. aeruginosa. Isolates exhibited sensitivity to polymyxin-B (80%), cefepime (78%), meropenem (75%), tobramycin (70%), piperacillin-tazobactam (68%), ciprofloxacin (64%), amikacin (50%), gentamicin (42%), and imipenem (6%). Resistance patterns were highest against cefazolin/sulbactam (65%), cefixime (60%), ciprofloxacin (50%) and ceftazidime (15%). Conclusion: Given the increasing prevalence of multidrug-resistant P. aeruginosa in healthcare settings, periodic monitoring and antibiotic susceptibility assessments are essential. This approach assists in preventing the spread of resistant strains, thereby reducing associated morbidity and mortality rates.

Keywords
INTRODUCTION

Pseudomonas aeruginosa is a non-fermentative, aerobic, motile, Gram-negative bacillus belonging to the family Pseudomonadaceae. It was first isolated from green pus in 1882. More than half of all clinical isolates produce the characteristic blue-green pigment, pyocyanin[1] [2]. As an opportunistic pathogen, it frequently causes nosocomial infections, particularly among patients in intensive care units (ICUs). Its ability to survive in environments with limited nutrients, grow at temperatures ranging between 40-42°C, and adhere to medical equipment and hospital surfaces significantly contributes to its pathogenicity, especially in immunocompromised patients[3] [4].

According to the National Nosocomial Infection Surveillance System, P. aeruginosa is the second leading cause of nosocomial pneumonia (17%), the third most common cause of urinary tract infections (7%), the fourth most common cause of surgical site infections (8%), the seventh most frequent pathogen isolated from bloodstream infections (2%), and the fifth most common isolate overall (9%). Antimicrobial therapy remains the primary approach for managing infections caused by various microbial pathogens[5] [6].

 

The antimicrobial resistance mechanisms of P. aeruginosa include acquisition of resistance genes encoding enzymes such as beta-lactamases and aminoglycoside-modifying enzymes[7]. Biofilm formation further contributes to resistance, especially in pulmonary infections associated with cystic fibrosis. Multidrug-resistant (MDR) strains of P. aeruginosa produce enzymes like extended-spectrum beta-lactamases (ESBLs) and metallo-β-lactamases (MBLs), conferring resistance against beta-lactams and carbapenems. ESBL-producing P. aeruginosa strains emerged in Western Europe in the mid-1980s, and MBL-producing strains were first reported in Japan in 1991. The MDR phenotype is defined by resistance to three or more classes of anti-Pseudomonal antimicrobial agents (carbapenems, fluoroquinolones, penicillins/cephalosporins, and aminoglycosides). The increasing prevalence of MDR P. aeruginosa significantly limits therapeutic options, underscoring the importance of monitoring antimicrobial susceptibility patterns. This study aimed to determine the current antimicrobial susceptibility profiles of P. aeruginosa isolates at GMC, Ongole, Andhra Pradesh.

MATERIALS AND METHODS

Study Design: Retrospective study

Study Location: Department of Microbiology, Government Medical College, Ongole, Andhra Pradesh.

Sample Size: A total of 500 clinical samples, including pus (n=223), urine (n=183), sputum (n=60), and blood samples (n=34), were collected and analyzed.

Inclusion Criteria: Patients of all age groups and both sexes.

Exclusion Criteria: Clinical isolates other than Pseudomonas aeruginosa.

Methodology: All clinical samples were cultured on Nutrient Agar, Blood Agar, and MacConkey Agar plates. Plates were incubated overnight at 37°C for 24 hours. Colonies suggestive of Pseudomonas aeruginosa were identified based on colony morphology, pigment production (pyocyanin), characteristic grape-like odor, oxidase positivity, motility, Gram-negative staining reaction, ability to reduce nitrates to nitrites, non-fermentative metabolism, arginine dihydrolysis capability, and growth at 42°C

Antibiotic Susceptibility Testing (AST): The antibiotic susceptibility profiles of identified P. aeruginosa isolates were determined using the Kirby-Bauer disc diffusion method on Mueller–Hinton agar, according to Clinical and Laboratory Standards Institute (CLSI) guidelines. Antibiotic discs from Hi-media were used, which included cefepime (30 µg), gentamicin (10 µg), amikacin (30 µg), piperacillin/tazobactam (100/10 µg), imipenem (10 µg), ciprofloxacin (5 µg), ceftazidime (30 µg), meropenem (10 µg), cefixime (10 µg), cefoperazone/sulbactam (30 µg), piperacillin (30 µg), tobramycin (10 µg), colistin (10 µg) and polymyxin-B (10 µg). Pseudomonas aeruginosa ATCC 27853 strain served as a quality control reference throughout the study.

Pseudomonas aeruginosa producing greenish pigmentation on nutrient agar

 

Pseudomonas aeruginosa producing NLF colonies

 

INDOLE- NOT PRODUCED,

CITRATE -UTILISED,

UREA – NOT HYDROLYSED,

TSI -K/K ,NO GAS,NO H2S

Pseudomonas aeruginosa producing greenish pigmentation on AST

 

RESULTS

Of the total 500 clinical samples analyzed, 256 samples (51%) yielded positive cultures, while the remaining 244 samples (49%) were sterile. Among the 256 positive cultures, 223 isolates (87.1%) were identified as Pseudomonas aeruginosa using standard microbiological techniques.

Antibiotic susceptibility testing revealed varied resistance patterns. The isolates showed significant resistance rates to cefoperazone/sulbactam (65%), cefixime (60%), ciprofloxacin (50%) and ceftazidime (15%). Conversely, high sensitivity rates were observed for polymyxin-B (80%), cefepime (78%), meropenem (75%), tobramycin (70%), piperacillin-tazobactam (68%), amikacin (50%), gentamicin (42%), and imipenem (65%). Detailed antibiogram results are presented graphically to highlight the sensitivity and resistance patterns clearly.

 

AGE WISE DISTRUBUTION OFCULTURE WISE SAMPLES

 

PATIENT AGE

      MALE

      FEMALE

0-15 YEARS

       27

          48

16-30 YEARS

       32

          42

31-45 YEARS

       52

          22

46-60 AND ABOVE

      60

          12

 

DISCUSSION

Pseudomonas aeruginosa is increasingly recognized as a significant pathogen responsible for healthcare-associated infections globally. In our study, out of 256 positive clinical samples, 223 isolates (87.1%) were identified as Pseudomonas aeruginosa. This prevalence is considerably higher than that reported in other studies, such as those conducted by Alyahawi et al. (9%) [1] and Maharjan (19.6%) [12]. Variability in prevalence rates observed across different studies could be due to diverse geographical locations, patient demographics, hospital infection control protocols, and diagnostic methods used [12,14].

 

In our study, urine samples accounted for the highest number of P. aeruginosa isolates, followed by pus, sputum, and blood samples. The high isolation rate from urine aligns with previous findings by Shenoy et al. [8] and Harsh et al. [14], who also reported significant isolation from urinary samples. The organism's ability to colonize urinary tracts, especially in patients with indwelling urinary catheters, explains this observation. Additionally, a notable number of isolates from pus samples is consistent with findings by Kaushik et al. [9], highlighting the organism's role in severe wound infections, particularly among burn patients and individuals undergoing surgical procedures.

 

The observed antibiotic resistance patterns in our study indicate a significant clinical challenge. P. aeruginosa isolates showed high sensitivity to polymyxin-B (80%), cefepime (78%), and meropenem (75%), corroborating results from other studies emphasizing these antibiotics as effective options [11,13]. Conversely, imipenem exhibited notably lower sensitivity (6%), reflecting similar concerns documented by Raja and Singh [13] and Harsh et al. [14], who emphasized the clinical challenge posed by resistance to carbapenems. 

 

The rising prevalence of multidrug-resistant (MDR) P. aeruginosa isolates necessitates continuous monitoring and periodic antibiotic susceptibility assessments. Such surveillance enables clinicians to adopt targeted antimicrobial therapy, thereby reducing the spread of resistant strains and improving patient outcomes [10,11,14].

CONCLUSION

In this study, Pseudomonas aeruginosa was successfully isolated from various clinical specimens collected at Government General Hospital, Ongole, Andhra Pradesh, reinforcing its role as a significant opportunistic pathogen within healthcare settings. The antimicrobial susceptibility testing conducted highlighted extensive resistance patterns among the isolates, underscoring the critical and escalating challenge posed by multidrug-resistant P. aeruginosa. The observed resistance, particularly against frequently prescribed antibiotics, emphasizes the urgent need for ongoing surveillance programs, stringent infection control protocols, and cautious, evidence-based antibiotic stewardship. Such measures are essential to effectively manage infections, mitigate the emergence of resistant strains, and enhance patient outcomes.

REFERENCES
  1. .Alyahawi A, Alhomidi AM, Al-Henhena N. Prevalence of Pseudomonas aeruginosa (P. aeruginosa) and antimicrobial susceptibility patterns at a private hospital in Sana’a, Yemen. Universal Journal of Pharmaceutical Research. 2018;3(4):12-18.
  2. Abaza AF, El Shazly SA, Selim HAS, Aly GSA. Metallo-beta-lactamase producing Pseudomonas aeruginosa in healthcare settings in Alexandria, Egypt. J Infect Dev Ctries. 2017;11(5):367-372.
  3. Gupta RS, Shrestha N. Clinical significance and antibiogram of Pseudomonas aeruginosa isolated from a tertiary care hospital of Birgunj, Nepal. Int J Pharm Bio Sci. 2017;8(2): P173-P177.
  4. Ansari S, Dhital R, Thapa S, Puri R, Chaudhary N. Menace of antimicrobial resistance among Pseudomonas aeruginosa isolated from clinical samples in Birgunj, Nepal. Asian Pac J Trop Dis. 2014;4(2):176-179.
  5. Forbes BA, Sahm DF, Weissfeld AS. Bailey & Scott’s Diagnostic Microbiology. 13th ed. St. Louis: Mosby Elsevier; 2013.
  6. Arora D, Jindal N, Kumar R, Romit. Emerging antibiotic resistance in Pseudomonas aeruginosa. Int J Pharm Sci. 2011;3(2):82-84.
  7. Rajat RM, Ninama GL, Mistry K, Parmar R, Patel K, Vegad MM. Antibiotic resistance pattern in Pseudomonas aeruginosa species isolated at a tertiary care hospital, Ahmadabad. Nat J Med Res. 2012;2(2):156-159.
  8. Shenoy S, Baliga S, Saldanha DR, Prashanth HV. Antibiotic sensitivity patterns of Pseudomonas aeruginosa strains isolated from various clinical specimens. Indian J Med Sci. 2002;56(9):427-430.
  9. Kaushik R, Kumar S, Sharma R, Lal P. Bacteriology of burn wounds—the first three years in a new burn unit at the Medical College, Chandigarh. Burns. 2001;27(6):595-597.
  10. Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial susceptibility testing; Twenty-fourth Informational Supplement. CLSI document M100–S24. Wayne, PA: CLSI; 2014.
  11. Soni M, Chaurasia D, Kapoor G. Antibiotic susceptibility profile of Pseudomonas speciesisolated from clinical specimens to access, watch and reserve drugs across various hospital settings at a tertiary care hospital of central India. Iran J Microbiol. 2024 Apr;16(2):159-165. doi: 10.18502/ijm.v16i2.15348. PMID: 38854976; PMCID: PMC11162171.
  12. Maharjan N. Pseudomonas aeruginosa Isolates among Clinical Samples showing Growth in a Tertiary Care Centre: A Descriptive Cross-sectional Study. JNMA J Nepal Med Assoc. 2022 Aug 1;60(252):676-680. doi: 10.31729/jnma.6517. PMID: 36705229; PMCID: PMC9446506.
  13. Raja NS, Singh NN. Antimicrobial susceptibility pattern of clinical isolates of Pseudomonas aeruginosa in a tertiary care hospital. J Microbiol Immunol Infect. 2007 Feb;40(1):45-9. PMID: 17332906.
  14. Harsh T, Patil HV, Patil SR. Prevalence and Antimicrobial Susceptibility Pattern of Pseudomonas aeruginosa Isolates From Various Clinical Specimens in a Tertiary Care Hospital: An Analysis of Resistance Trends and Implications for Treatment Strategies. Cureus. 2024 Oct 28;16(10):e72556. doi: 10.7759/cureus.72556. PMID: 39610569; PMCID: PMC11602418.
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