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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Microbiological Spectrum, Antimicrobial Resistance Burden, and Antibiogram Profile among Critically Ill Patients in a Tertiary Care ICU

Authors: Zunera Fatima1, Syed Afzal Uddin Biyabani2*, Pooja V Salimath2, Vanishree P Babladi2, Hafsa Naema2, Sachin Patil3;

Microbiological Spectrum, Antimicrobial Resistance Burden, and Antibiogram Profile among Critically Ill Patients in a Tertiary Care ICU

Abstract

Background: Antimicrobial resistance (AMR) in intensive care units (ICUs) is driven by high antibiotic exposure, invasive procedures, severe illness, and frequent circulation of multidrug-resistant organisms. ICU-specific antibiograms can support empirical therapy, optimize stewardship, and improve outcomes. Objective: To characterize microbial epidemiology, define antimicrobial resistance burden, construct an ICU antibiogram, and identify sensitive agents that may support empirical therapy. Methods: A prospective observational microbiology-based study was conducted among 100 critically ill patients admitted to a tertiary care ICU. Culture and sensitivity reports were analysed to determine organism distribution, gram-stain epidemiology, resistance burden, susceptibility patterns, and disease-specific antibiograms. Descriptive analysis, resistance comparisons, and exploratory associations were performed. Results: Gram-negative organisms predominated (79.1%), while gram-positive organisms accounted for 20.9%. E. coli (38.18%) was the most common isolate, followed by Klebsiella species (23.63%) and Pseudomonas species. Meropenem, amikacin, gentamicin, and piperacillin–tazobactam showed higher sensitivity profiles, whereas ampicillin, cefepime, ceftriaxone, and cotrimoxazole demonstrated substantial resistance. Resistance burden was highest for cephalosporins (31%) and penicillins (29%). Disease-specific antibiograms suggested E. coli predominance in urinary tract infections, Pseudomonas in sepsis, and Klebsiella in pneumonia. Conclusion: ICU-specific resistance burden is driven predominantly by gram-negative pathogens, supporting the importance of local antibiogram-guided empirical therapy, stewardship interventions, and resistance surveillance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green