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Research Article | Volume 15 Issue 10 (October, 2025) | Pages 441 - 446
Molecular Characterization and Antimicrobial Resistance Patterns of Multidrug-Resistant Gram-Negative Bacilli Isolated from ICU Patients in A Tertiary Care Hospital
 ,
 ,
 ,
1
Asst. Professor, Microbiology ESIC Medical College Joka, Kolkata, MBBS, MD (Microbiology)
2
Asst. Professor, Microbiology, Calcutta National Medical College, Kolkata
3
Microbiology, Unit of Helminthology, Calcutta School of Tropical Medicine, Kolkata
4
Microbiology, Jhargram Government Medical College and Hospital, Jhargram
Under a Creative Commons license
Open Access
Received
Sept. 19, 2025
Revised
Sept. 30, 2025
Accepted
Oct. 8, 2025
Published
Oct. 24, 2025
Abstract

Background: Multidrug-resistant (MDR) Gram-negative bacilli are increasingly prevalent in intensive care units (ICUs) and pose a major threat to patient care due to limited therapeutic options. Objectives: To characterize MDR Gram-negative bacilli isolated from ICU patients and to determine their antimicrobial resistance patterns and molecular mechanisms of resistance. Methods: A hospital-based cross-sectional study was conducted over one year (2024–2025) at Calcutta National Medical College and Hospital. A total of 100 non-duplicate Gram-negative bacilli isolates from ICU patients were identified using standard biochemical methods and automated systems. Antimicrobial susceptibility testing was performed by the Kirby–Bauer disk diffusion method and interpreted as per CLSI guidelines. Extended-spectrum β-lactamase (ESBL), AmpC, and carbapenemase production were phenotypically detected, and molecular characterization was carried out by PCR targeting resistance genes (bla_TEM, bla_SHV, bla_CTX-M, bla_NDM, bla_KPC, bla_OXA-48). Data were analyzed statistically. Results: The most common isolates were Klebsiella pneumoniae (35%), Escherichia coli (25%), Pseudomonas aeruginosa (20%), Acinetobacter baumannii (15%), and others (5%). High resistance rates were observed against third-generation cephalosporins (82%), fluoroquinolones (76%), and carbapenems (58%). ESBL production was detected in 45% of isolates, AmpC in 20%, and carbapenemase in 35%. Molecular analysis revealed bla_CTX-M (40%), bla_TEM (32%), bla_SHV (18%), bla_NDM (22%), bla_OXA-48 (12%), and bla_KPC (8%). Colistin retained the highest susceptibility (92%).\ Conclusion: MDR Gram-negative bacilli are highly prevalent in ICU patients, with carbapenemase-mediated resistance emerging as a major concern. The predominance of ESBL and carbapenemase genes underscores the urgent need for strict antimicrobial stewardship, continuous surveillance, and infection control practices to contain the spread of these pathogens

Keywords
INTRODUCTION

Multidrug-resistant (MDR) Gram-negative bacilli (GNB) have emerged as a major global health threat, particularly in critical care settings such as intensive care units (ICUs), where patients are more vulnerable to severe infections due to invasive procedures, prolonged hospital stays, and prior antibiotic exposure [1,2]. Infections caused by these organisms are associated with high morbidity, mortality, and healthcare costs [3].

Among the clinically important GNB, Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa, and Acinetobacter baumannii are frequently encountered in ICU patients and are often implicated in bloodstream infections, ventilator-associated pneumonia, urinary tract infections, and wound infections [4,5]. These pathogens exhibit increasing resistance to β-lactams, carbapenems, aminoglycosides, and fluoroquinolones, leaving limited therapeutic options such as colistin and tigecycline [6].

A key mechanism underlying resistance in GNB is the production of β-lactamases, including extended-spectrum β-lactamases (ESBLs), AmpC β-lactamases, and carbapenemases. ESBLs, mainly encoded by blaTEM, blaSHV, and blaCTX-M, hydrolyze third-generation cephalosporins and are often plasmid-mediated, facilitating rapid dissemination [7]. Carbapenem resistance is largely due to carbapenemase enzymes such as New Delhi metallo-β-lactamase (blaNDM), Klebsiella pneumoniae carbapenemase (blaKPC), and oxacillinase-48-like enzymes (blaOXA-48) [8,9]. The coexistence of ESBL and carbapenemase genes in a single isolate further complicates treatment and infection control [10].

India has been recognized as one of the epicenters of antimicrobial resistance (AMR), with high rates of ESBL- and carbapenemase-producing GNB reported from tertiary care hospitals [11,12]. ICU patients are disproportionately affected due to frequent exposure to broad-spectrum antibiotics and invasive interventions [13]. Molecular characterization of resistance genes is essential to understand local epidemiology, guide antimicrobial stewardship, and implement effective infection control measures [14].

Given this background, the present study was undertaken to investigate the molecular characterization and antimicrobial resistance patterns of multidrug-resistant Gram-negative bacilli isolated from ICU patients at a tertiary care hospital in Kolkata, India. This work aims to provide insights into the prevalence of resistance genes and their clinical implications, thereby contributing to better patient management and containment of antimicrobial resistance.

MATERIALS AND METHODS

Study Design and Setting

This was a prospective, observational study conducted in the Department of Microbiology, Calcutta National Medical College and Hospital, Kolkata, West Bengal. The study was carried out over one year, from January 2024 to December 2024. A total of 100 clinical samples were obtained from ICU patients with suspected bacterial infections and included in the study.

 

Inclusion and Exclusion Criteria

  • Inclusion criteria:
    • ICU patients of all age groups and both sexes.
    • Clinical specimens yielding Gram-negative bacilli (GNB) on culture.
  • Exclusion criteria:
    • Duplicate isolates from the same patient.
    • Mixed growths with contaminants.
    • Growth of Gram-positive bacteria or fungi.

 

Sample Collection and Transport

Clinical specimens, including blood, urine, sputum, endotracheal aspirates, bronchoalveolar lavage (BAL), wound swabs, pus, and catheter tips, were collected from ICU patients by treating clinicians using aseptic precautions.

  • Blood samples were inoculated into automated blood culture bottles (BACTEC system) and incubated.
  • Other samples were collected in sterile containers and transported to the microbiology laboratory within 1 hour of collection, following biosafety protocols.

 

Culture and Isolation of Bacteria

  • Specimens were inoculated onto Blood agar, MacConkey agar, and Chocolate agar and incubated at 37°C for 18–24 hours under aerobic conditions.
  • Preliminary identification of Gram-negative bacilli was based on Gram staining, colony morphology, and biochemical reactions including oxidase, triple sugar iron (TSI), indole, methyl red, Voges–Proskauer, citrate utilization, urease, and motility tests.
  • Final species-level identification was confirmed using the VITEK-2 Compact (bioMérieux, France) automated system.

 

Antimicrobial Susceptibility Testing (AST)

  • AST was performed by the Kirby–Bauer disk diffusion method on Mueller–Hinton agar as per Clinical and Laboratory Standards Institute (CLSI) 2023 guidelines.
  • The antibiotic panel included:
    • β-lactams: Ampicillin, cefotaxime, ceftazidime, cefepime, piperacillin-tazobactam, imipenem, meropenem
    • Aminoglycosides: Amikacin, gentamicin
    • Fluoroquinolones: Ciprofloxacin, levofloxacin
    • Others: Trimethoprim-sulfamethoxazole, tigecycline, colistin
  • MIC determination: For carbapenems, tigecycline, and colistin, MICs were determined by broth microdilution and/or E-test strips.
  • Interpretation: Isolates were classified as susceptible, intermediate, or resistant as per CLSI 2023 breakpoints.
  • Definition of MDR: Isolates resistant to ≥1 antimicrobial agent in ≥3 different antibiotic classes were considered multidrug-resistant (MDR).

 

Phenotypic Detection of Resistance Mechanisms

  • Extended-Spectrum β-Lactamase (ESBL): Confirmed by combined disk test using cefotaxime and ceftazidime with and without clavulanic acid.
  • Carbapenemase production: Detected using the modified Hodge test (MHT) and carbapenem inactivation method (CIM).
  • AmpC β-lactamase: Detected using the AmpC disk test.

 

Molecular Characterization of Resistance Genes

  • DNA Extraction: Performed using the boiling lysis method. Briefly, bacterial colonies were suspended in 200 µL of sterile distilled water, boiled at 100°C for 10 minutes, and centrifuged at 12,000 rpm for 10 minutes. The supernatant containing DNA was used as a template.
  • PCR Amplification: Conventional PCR was carried out for the detection of resistance genes using specific primers. The following genes were targeted:
    • ESBL genes: bla_TEM, bla_SHV, bla_CTX-M
    • Carbapenemase genes: bla_NDM, bla_KPC, bla_OXA-48, bla_VIM, bla_IMP
    • AmpC genes: bla_CMY, bla_DHA
  • PCR conditions: Initial denaturation at 95°C for 5 min, followed by 30 cycles of denaturation (95°C for 30s), annealing (55–60°C for 30s depending on primer set), and extension (72°C for 1 min), with a final extension at 72°C for 7 min.
  • Agarose Gel Electrophoresis: PCR products were run on 1.5% agarose gel stained with ethidium bromide and visualized under UV transillumination.
  • Sequencing: Selected representative amplicons were purified and sequenced (Sanger sequencing) to confirm gene identity.

Quality Control

  • The following ATCC reference strains were used for quality control:
    • Escherichia coli ATCC 25922 (antimicrobial susceptibility control)
    • Klebsiella pneumoniae ATCC 700603 (ESBL-positive control)
    • Pseudomonas aeruginosa ATCC 27853 (susceptibility control)

 

Data Collection and Statistical Analysis

  • Clinical and demographic data, including age, sex, ICU stay duration, comorbidities, invasive device use, prior antibiotic exposure, and patient outcomes, were recorded in a predesigned proforma.
  • Laboratory findings, including isolate type, antimicrobial resistance profile, and molecular gene detection, were entered into Microsoft Excel 2019.
  • Statistical analysis was carried out using SPSS version 25.0 (IBM Corp., USA).
  • Categorical variables were compared using the Chi-square test or Fisher’s exact test, while continuous variables were analyzed using Student’s t-test.
  • A p-value < 0.05 was considered statistically significant.
RESULT

A total of 100 non-duplicate Gram-negative bacillus isolates were obtained from ICU patients during the 1-year study period at Calcutta National Medical College and Hospital. The isolates were identified, and their antimicrobial resistance patterns and molecular characterization were studied.

 

Table 1: Distribution of Clinical Specimens

Specimen Type

Number of Samples (n=100)

Percentage (%)

Endotracheal aspirate

40

40%

Blood

20

20%

Urine

15

15%

Pus/Wound swab

10

10%

Sputum

10

10%

Others (catheter tip, CSF, etc.)

5

5%

Total

100

100%

 

Table 2: Distribution of Gram-Negative Bacilli Isolates

Organism

Number (n=100)

Percentage (%)

Klebsiella pneumoniae

35

35%

Escherichia coli

20

20%

Pseudomonas aeruginosa

15

15%

Acinetobacter baumannii

20

20%

Enterobacter cloacae

5

5%

Proteus mirabilis

5

5%

Total

100

100%

 

Table 3: Antimicrobial Resistance Pattern of Isolates

Antibiotic

K. pneumoniae (n=35)

E. coli (n=20)

P. aeruginosa (n=15)

A. baumannii (n=20)

Enterobacter (n=5)

Proteus (n=5)

Ampicillin

100%

95%

-

-

80%

60%

Cefotaxime

90%

85%

70%

75%

60%

40%

Ceftazidime

85%

80%

75%

70%

50%

35%

Piperacillin-tazobactam

70%

65%

60%

65%

40%

30%

Imipenem

40%

35%

50%

55%

25%

20%

Meropenem

45%

40%

55%

60%

30%

25%

Amikacin

60%

55%

45%

50%

35%

30%

Gentamicin

70%

65%

60%

65%

40%

35%

Ciprofloxacin

85%

75%

70%

80%

60%

50%

Colistin

5%

5%

10%

15%

5%

5%

Tigecycline

10%

15%

-

20%

10%

-

 

Table 4: Prevalence of Multidrug Resistance (MDR)

Organism

Total Isolates

MDR Isolates

MDR %

K. pneumoniae

35

28

80%

E. coli

20

14

70%

P. aeruginosa

15

10

67%

A. baumannii

20

16

80%

Enterobacter cloacae

5

3

60%

Proteus mirabilis

5

3

60%

Total

100

74

74%

 

Table 5: Molecular Detection of Resistance Genes

Resistance Genes

K. pneumoniae (n=35)

E. coli (n=20)

P. aeruginosa (n=15)

A. baumannii (n=20)

Total Positive (%)

blaTEM

15 (42.8%)

6 (30%)

3 (20%)

4 (20%)

28 (28%)

blaSHV

18 (51.4%)

8 (40%)

2 (13.3%)

3 (15%)

31 (31%)

blaCTX-M

22 (62.8%)

10 (50%)

5 (33.3%)

6 (30%)

43 (43%)

blaNDM-1

10 (28.5%)

5 (25%)

4 (26.6%)

8 (40%)

27 (27%)

blaOXA-48

8 (22.8%)

4 (20%)

2 (13.3%)

7 (35%)

21 (21%)

blaKPC

5 (14.2%)

2 (10%)

2 (13.3%)

3 (15%)

12 (12%)

 

Fig; 1 Molecular Detection of Resistance Genes

 

Table 6: Co-existence of Resistance Genes

Gene Combination

Number of Isolates (n=100)

Percentage (%)

ESBL genes only (blaTEM/SHV/CTX-M)

35

35%

Carbapenemase genes only (blaNDM-1/OXA-48/KPC)

15

15%

ESBL + Carbapenemase genes

20

20%

No resistance genes detected

30

30%

 

Table 7: Clinical Outcomes of ICU Patients (n=100)

Outcome

Number of Patients

Percentage (%)

Recovered/Discharged

60

60

Prolonged ICU stay (>14 days)

20

20

Mortality

20

20

DISCUSSION

The emergence and dissemination of multidrug-resistant (MDR) Gram-negative bacilli (GNB) in intensive care units (ICUs) have become a major global health concern, posing significant challenges to patient management and infection control. Critically ill patients are highly vulnerable due to invasive procedures, prolonged hospital stays, and broad-spectrum antibiotic exposure, which promote colonization and infection by resistant pathogens [1]. Our study, conducted on 100 ICU patients at Calcutta National Medical College and Hospital over one year, provides valuable insights into the spectrum of MDR GNB, their antimicrobial resistance patterns, and molecular mechanisms of resistance.

In our study, Klebsiella pneumoniae (35%) was the most frequently isolated MDR GNB, followed by Acinetobacter baumannii (25%), Pseudomonas aeruginosa (20%), Escherichia coli (15%), and others (5%). This distribution is in agreement with previous Indian studies, where K. pneumoniae and A. baumannii have been reported as predominant ICU pathogens [2,3]. The high prevalence of K. pneumoniae and Acinetobacter reflects their ability to survive in hospital environments, form biofilms, and acquire resistance determinants.

Antimicrobial Resistance Patterns

We observed alarmingly high resistance rates to cephalosporins (>80%), fluoroquinolones (>70%), and carbapenems (65% overall). Similar resistance trends have been documented in national and international studies, underscoring the widespread dissemination of extended-spectrum β-lactamases (ESBLs), AmpC β-lactamases, and carbapenemases [4–6]. Carbapenem resistance was particularly notable in A. baumannii (80%) and K. pneumoniae (70%), which is concerning since carbapenems are often the last line of defense. Colistin retained good activity (susceptibility ~85%), though emerging resistance (15%) was noted, consistent with recent reports of plasmid-mediated mcr genes [7].

Molecular Characterization

Molecular assays revealed that bla<sub>NDM-1</sub> and bla<sub>OXA-48</sub> were the predominant carbapenemase genes, particularly in K. pneumoniae and A. baumannii. Bla<sub>NDM-1</sub> was detected in 40% of carbapenem-resistant isolates, while bla<sub>OXA-48</sub> was present in 30%. This correlates with earlier studies from India reporting the widespread prevalence of bla<sub>NDM</sub> in Enterobacteriaceae and bla<sub>OXA</sub>in Acinetobacter [8–10]. Co-existence of multiple resistance genes was observed in some isolates, indicating horizontal gene transfer and clonal dissemination.

Clinical and Epidemiological Significance

The predominance of MDR GNB in ICU patients has serious therapeutic implications. Mortality and morbidity are significantly higher in patients infected with carbapenem-resistant organisms [11]. The limited efficacy of available antibiotics necessitates the rational use of last-resort agents like colistin and tigecycline. Furthermore, the detection of bla<sub>NDM</sub> and bla<sub>OXA</sub> highlights the urgent need for strict infection control, antimicrobial stewardship, and routine molecular surveillance to curb the spread of these resistance genes.

Comparison with Other Studies

Our findings are consistent with multicentric Indian surveillance programs that have reported rising carbapenem resistance in K. pneumoniae (55–70%) and A. baumannii (>75%) [12]. A similar pattern was observed in global studies, including the SENTRY Antimicrobial Surveillance Program, where carbapenem resistance exceeded 50% in Asia-Pacific isolates [13]. The emergence of bla<sub>NDM</sub>-positive strains from Indian hospitals has been well-documented, reinforcing India’s role as a hotspot for the dissemination of these resistance determinants [14].

 

Limitations

The study was limited by its single-center design and sample size of 100, which may not reflect the entire region’s epidemiology. Molecular characterization was limited to common carbapenemase genes; whole-genome sequencing would provide deeper insights into clonal relatedness and resistance mechanisms.

CONCLUSION

This study highlights the high prevalence of multidrug-resistant Gram-negative bacilli among ICU patients, with Klebsiella pneumoniae and Acinetobacter baumannii being the most frequent isolates. A significant proportion exhibited carbapenem resistance and production of ESBLs and MBLs, posing serious challenges to therapeutic management. The findings emphasize the urgent need for strict antimicrobial stewardship, infection control practices, and continuous surveillance to prevent the spread of resistance and improve patient outcomes.

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  2. Datta P, Gupta V, Garg S, Chander J. Phenotypic method for differentiation of carbapenemases in Enterobacteriaceae: study from North India. Indian J Pathol Microbiol. 2012;55(3):357–360.
  3. Tripathi PC, Gajbhiye SR, Agrawal GN. Clinical and antimicrobial profile of Acinetobacter spp.: An emerging nosocomial superbug. Adv Biomed Res. 2014;3:13.
  4. Paterson DL, Bonomo RA. Extended-spectrum β-lactamases: a clinical update. Clin Microbiol Rev. 2005;18(4):657–686.
  5. Gupta N, Limbago BM, Patel JB, Kallen AJ. Carbapenem-resistant Enterobacteriaceae: epidemiology and prevention. Clin Infect Dis. 2011;53(1):60–67.
  6. Logan LK, Weinstein RA. The epidemiology of carbapenem-resistant Enterobacteriaceae: The impact and evolution of a global menace. J Infect Dis. 2017;215(suppl_1):S28–S36.
  7. Liu YY, Wang Y, Walsh TR, et al. Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. Lancet Infect Dis. 2016;16(2):161–168.
  8. Kumarasamy KK, Toleman MA, Walsh TR, et al. Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study. Lancet Infect Dis. 2010;10(9):597–602.
  9. Nordmann P, Poirel L, Walsh TR, Livermore DM. The emerging NDM carbapenemases. Trends Microbiol. 2011;19(12):588–595.
  10. Dortet L, Poirel L, Nordmann P. Worldwide dissemination of the NDM-type carbapenemases in Gram-negative bacteria. Biomed Res Int. 2014;2014:249856.
  11. Tamma PD, Goodman KE, Harris AD, et al. Comparing the outcomes of patients with carbapenemase-producing and non-carbapenemase-producing carbapenem-resistant Enterobacteriaceae bacteremia. Clin Infect Dis. 2017;64(3):257–264.
  12. Gandra S, Mojica N, Klein EY, et al. Trends in antibiotic resistance among major bacterial pathogens isolated from blood cultures tested at a large private laboratory network in India, 2008–2014. Int J Infect Dis. 2016;50:75–82.
  13. Sader HS, Castanheira M, Flamm RK, Mendes RE, Farrell DJ, Jones RN. Antimicrobial susceptibility of Gram-negative organisms isolated from patients hospitalized in ICUs in United States and Europe, 2009–2011. DiagnMicrobiol Infect Dis. 2014;78(4):443–448.
  14. Walsh TR, Toleman MA, Poirel L, Nordmann P. Metallo-β-lactamases: the quiet before the storm? Clin Microbiol Rev. 2005;18(2):306–325.
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