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
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.
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
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.
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.
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.