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Title

Prevalence of multi-drug resistant, extensively drug resistant, pan drug resistant bacteria from intensive care units of a tertiary care teaching hospital, Amalapuram, India

 

Authors

N. Padmaja*, M. Deborah Purushottam & V. Srilalitha

 

Affiliation

Department of Microbiology, Konaseema Institute of Medical Sciences and Research Foundation, Amalapuram, Andhra Pradesh, India; *Corresponding author

 

Email

N. Padmaja - E-mail: masalapadmaja@gmail.com
Deborah Purushottam M - E-mail: debora4smile@gmail.com

V. Srilalitha - E-mail: srilalithavishnubhatla@gmail.com

 

Article Type

Research Article

 

Date

Received June 30, 2025; Revised June 30, 2025; Accepted June 30, 2025, Published June 30, 2025

 

Abstract

The prevalence of MDR, XDR and PDR gram-negative bacteria, drug resistance and sensitivity patterns in the intensive care unit of the tertiary care hospital Amalapuram from June 2023 to July 2024 is of interest. The study included all patients who were admitted to the intensive care unit and various clinical samples like blood, urine, respiratory samples, body fluids and pus received in the lab were inoculated on different media like Mac-Conkey agar and blood agar according to Standard Microbiological methods. Bacterial identification was done based on colony morphology, Gram stain and various biochemical reactions after obtaining pure growth. Gram-negative bacteria were identified using a series of biochemical tests, like oxidase, catalase, indole production, methyl red, V-P, citrate, urease and triple sugar iron agar tests. Antibiotic susceptibility testing was performed using the Kirby-Bauer disk diffusion method according to CLSI guidelines. We found a high frequency of antibiotic resistance in ICU isolates, primarily caused by Gram-negative bacilli like Klebsiella and E. coli.

 

Keywords

Multidrug-resistant, gram-negative bacilli, antibiotic susceptibility

 

Citation

Padmaja et al. Bioinformation 21(6): 1475-1480 (2025)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.