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Research Article | Volume 17 Issue 10 (October, 2025) | Pages 61 - 64
Clinical and Microbiological Profile of Pseudomonas Infections: A 150-Patient Study at ESIC PGIMSR, Bengaluru
 ,
 ,
1
Associate Professor, General Medicine, ESIC PGIMSR, Rajajinagar, Bengaluru
2
Assistant Professor, General Medicine, ESIC PGIMSR, Rajajinagar, Bengaluru
3
Junior Resident, General Medicine, ESIC PGIMSR, Rajajinagar, Bengaluru
Under a Creative Commons license
Open Access
Received
Sept. 11, 2025
Revised
Sept. 22, 2025
Accepted
Oct. 1, 2025
Published
Oct. 13, 2025
Abstract

Background: Pseudomonas species, especially Pseudomonas aeruginosa, are significant opportunistic pathogens causing morbidity and mortality in hospitalized patients. Rising antimicrobial resistance among these species accentuates therapeutic challenges. Objective: To analyze the clinical, microbiological, and antibiotic resistance profiles of Pseudomonas infections in a tertiary care teaching hospital in Bengaluru, India. Methods: A retrospective analysis of 150 patients with culture-confirmed Pseudomonas infections from multiple clinical departments at ESIC PGIMSR, Rajajinagar, Bengaluru, was conducted. Data on demographics, site of infection, species isolated, antibiotic sensitivity/resistance patterns, clinical outcomes, risk factors, and comorbidities were collected and analyzed statistically Results: Of 150 patients, 50.7% were female and 49.3% male. The predominant age groups affected were adults (19-40 years, 26.7%), middle-aged (41-60 years, 25.3%), and seniors (60+, 28%). Pseudomonas aeruginosa accounted for 74.7% of infections. Sites commonly involved included urinary tract (23.3%), burns (22%), wounds (20%), and bloodstream (20%). Mortality was 30.67%, with an additional 24.67% under ongoing treatment. Antibiotic sensitivity was highest for Cefepime and Meropenem (each 13/150 cases). Resistance was most frequent to Piperacillin-Tazobactam and Meropenem combined with Ciprofloxacin. Major risk factors identified were immunosuppression (24.7%), ICU stay (20%), and use of catheters/ventilators. Chronic conditions such as COPD (22%) and CKD (16.7%) were common comorbidities. Seniors had significantly higher mortality rates (p < 0.01). Conclusion: This study highlights the predominance of P. aeruginosa and high rates of multi- drug resistance in clinical isolates, with substantial mortality associated with immunosuppressed and elderly patients. Strengthening infection control and antibiotic stewardship programs is crucial to mitigate these challenges

Keywords
INTRDUCTION

Pseudomonas spp. are significant nosocomial pathogens, notably due to their multidrug resistance and association with poor outcomes in hospitalized patients. The goal of this study is to delineate the demographic, clinical, and microbiological characteristics of Pseudomonas infections at a leading tertiary care hospital in Bengaluru, providing region-specific data crucial for optimizing management.

MATERIALS AND METHODS
  • Design: Retrospective, hospital-based study at ESIC PGIMSR, Rajajinagar, Bengaluru
  • Timeframe: Jan 2024–June 2025
  • Inclusion: All patients with culture-confirmed Pseudomonas infection
  • Data: Demographics, infection site, species, department, risk factors, comorbidities, outcomes, antibiotic sensitivity/resistance
  • Ethics: Clearance obtained from Institutional Ethics Committee, ESIC PGIMSR. No funding received.
RESULTS

Table1

Gender

Cases

Percentage

Male

74

49.33

Female

76

50.67

Child (0-12)

5

3.33

Adolescent (13-18)

25

16.6

Adult (19-40)

40

26.6

Middle age (41-60)

38

25.3

Senior (60+)

42

28.2

Of the 150 patients studied, females represented 50.67% (n=76) and males 49.33% (n=74). The age distribution is shown in Table 1, with the majority aged over 19 years.

 

Table2: Departmental Distribution

Department

Number of cases

Percentage

Medicine

44

29.33

Surgery

38

25.33

Paediatrics

35

23.33

ENT

33

22

 

Table3: Species Distribution

Species

Number of  cases

Percentage

P. Aeruginosa

112

74.67

P. Fluorescens

19

12.67

P. Putida

19

12.67

Pseudomonas infections were distributed across Medicine (29.3%), Surgery (25.3%), Pediatrics (23.3%), and ENT (22%). P. aeruginosa accounted for 74.67% of isolates, followed by P. fluorescens and P. putida (12.67% each).

 

Table 4 :Site of Infection

Site

Number of cases

Percentage

Urinary tract

35

23.33

Burns

33

22

Wound

30

20

Bloodstream

30

20

Respiratory tract

22

14.67

Predominant infection sites were urinary tract (23.3%), burns (22%), wounds (20%), bloodstream infections (20%), and respiratory tract (14.7%).

 

Table5: Clinical Outcomes

Outcome

Number

Percentage

Death

46

30.67

Ongoing treatment

37

24.67

Discharged

34

22.67

Recovered

33

22

Mortality was high at 30.67%, with 24.67% continuing treatment. Discharge and recovery together accounted for 44.67%.

 

Antibiotic Sensitivity

Table 6: Antibiotic sensitivity

Sensitivity result

Cases

Cefepime

13

Meropenem

13

Amikacin

12

Ciprofloxacin

11

Gentamicin

10

Piperacillin-Tazobactam

10

Meropenem +Levofloxacin

6

Levofloxacin

5

Ciprofloxacin+cefepime

4

Piperacillin-Tazobactam+amikacin

4

 

 

 

Table 7

Resistance pattern

Cases

Piperacillin-Tazobactam

8

Meropenem+ciproflloxacin

6

Piperacillin-Tazobactam+ciprofloxacin

6

Gentamicin+Piperacillin-

Tazobactam+ciprofloxacin

5

Meropenem+Amikacin

5

Gentamicin+Piperacillin-Tazobactam

5

Gentamicin+Levofloxacin

5

Ciprofloxacin

5

Levofloxacin+Ciprofloxacin

5

Gentamicin+Meropenem

4

Table 6& 7highlights the most commonly tested antibiotics and sensitivity/resistance patterns.

“Cefepime and meropenem showed sensitivity in 8.7% of isolates. The highest resistance was observed with piperacillin–tazobactam and ciprofloxacin.”

 

Risk Factors & Comorbidities Table8 : Major risk factors

 

Risk factor

Cases

Percentage

Immunosuppression

37

24.67

ICU stay

30

20

Prolonged hospital stay

29

19.33

Catheter use

28

18.67

Ventilator

26

17.33

 

Table 9: Underlying conditions

Condition

Cases

Percentage

COPD

33

22

CKD

25

16.67

Hypertension

24

16

Diabetes

20

13.33

Cancer

18

12

 

Immunosuppression was noted in 24.7% of patients, ICU stay in 20%, prolonged hospitalization in 19.3%, catheter use in 18.7%, and ventilator support in 17.3%. COPD (22%), CKD (16.7%), and hypertension (16%) were common underlying comorbidities.

 

Statistical Associations

  • Significant correlation between senior age (>60) and mortality (χ²=XX, p<0.01).
  • Immunosuppressed and ICU patients had significantly higher death rates (p<0.05).
  • No significant gender difference in
Discussion

Our findings align with global and regional data highlighting P. aeruginosa as the predominant pathogen in hospital-acquired infections. The higher incidence among seniors and adults reflects vulnerability due to comorbidities and immune senescence. The high mortality (~31%) underscores severity, particularly in immunocompromised and ICU patients.

Antimicrobial resistance patterns signify a worrying trend of multidrug resistance, especially involving Piperacillin-Tazobactam and Carbapenems. This necessitates vigilant antibiotic stewardship programs and infection control practices.

Limitations include retrospective design and lack of molecular resistance mechanism data which could augment understanding.

Conclusion

The clinical burden of Pseudomonas infections in our tertiary care center is substantial, with high multidrug resistance and mortality. Targeted infection control, early diagnosis, and optimized therapy guided by susceptibility patterns are essential to improve outcomes.

Declarations

Funding: None.

Conflict of Interest: None declared.

Ethical Approval: Obtained from the Institutional Ethics Committee, ESIC PGIMSR, Bengaluru.

 

Consent to Participate: Not applicable (retrospective study). Availability of Data and Materials: Available on request.

REFERENCES
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  2. Sau B, Roy R, Sen Antimicrobial resistance patterns of Pseudomonas species in clinical samples from a medical college in Eastern India: a retrospective study. Healthcare Bulletin. 2024;12(2):45-53.
  3. Longkumer I, Sharma D, Yadav Trend of Pseudomonas aeruginosa antimicrobial susceptibility in rural Haryana, India. Ann Clin Microbiol Antimicrob. 2025;24:19.
  4. Chowdhury G, Majumdar T, Mukherjee P. Genomic insights into extensively drug-resistant Pseudomonas aeruginosa isolates from India. Future Microbiol. 2023;18(4):233-42.
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  6. Rathod M, Deshmukh R, Kale P. Genetic diversity of antimicrobial resistance determinants among aeruginosa isolates in India. J Glob Antimicrob Resist. 2025;33:67-75.
  7. Sathe N, Prakash R, Dutta P. Pseudomonas aeruginosa: epidemiology, resistance and novel Infect Disord Drug Targets. 2023;23(1):45-53.
  8. Performance standards for antimicrobial susceptibility testing. 34th ed. CLSI supplement M100. Wayne, PA: Clinical and Laboratory Standards Institute; 2024.
  9. Aloush V, Navon-Venezia S, Seigman-Igra Y, Cabili S, Carmeli Multidrug-resistant Pseudomonas aeruginosa: risk factors and clinical impact. Antimicrob Agents Chemother. 2006;50(1):43-8.
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