Multi drug resistant Pseudomonas aeruginosa: Pathogen burden and associated antibiogram in a tertiary care hospital of Pakistan

2016 ◽  
Vol 97 ◽  
pp. 209-212 ◽  
Author(s):  
Waheed Ullah ◽  
Muhammad Qasim ◽  
Hazir Rahman ◽  
Fazli Bari ◽  
Saadullah Khan ◽  
...  
2018 ◽  
Vol 27 (4) ◽  
pp. 279-283
Author(s):  
Muhammad Saeed ◽  
Farhan Rasheed ◽  
Raja Kamran Afzal ◽  
Shahida Hussain ◽  
Saba Riaz ◽  
...  

Author(s):  
Ishrat Irfan Ali ◽  
Irfan Ali Khan ◽  
Muhammad Kashif Munir

Objective:  To evaluate occurrence of nosocomial infections and antibiotic susceptibility patterns of bacterial pathogens isolated from Intensive Care Units (IC-Us) in a tertiary care hospital of Karachi-Pakistan.Methods and Results:  One thousand and fifty clinical isolates were identified following standard proto-cols. Their antibiograms were evaluated and a clinical correlation was made to measure their pathogenic status and method of acquisition of infection. Fifty-six percent isolates were identified as Acinetobacter baumannii, 13.2% as Pseudomonas aeruginosa, 11.2% as Staphylococcus aureus (MRSA), 8.8% as Klebsiella pneumoniae, 4.1% as Vancomycin resistant Enterococci (VRE), 2.7% as Escherichia coli (ESBL), 1.2% as Klebsiella spp, 1.1% as coagulase negative staphylococcus, 0.7% as Salmonella typhi and 0.2% as salmonella spp. All the isolates exhibited different resistance patterns against conventional antibiotics. Majority of them were Multi Drug Resistant (MDR).Conclusions:  In this study, Acinetobacter baumannii isolates revealed a pathogenic potential of around 56% were identified by antimicrobial susceptibility patterns. In our study, majority of Pseudomonas aeruginosa, Staphylococcus aureus, Klebsiella pneumoniae, Vancomycin resistant Enterococci, E.coli, and Klebsiella spp were found to be multi drug resistant. High antimicrobial resistance in the ICU is an alarming situation, and calls for imperative measures leading to careful selection/use of antimicrobials while treating different infections. This study is expected to help infection control agencies to take robust steps to control nosocomial infections in developing countries.


2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Lubna Farooq ◽  
Zahida Memon ◽  
Muhammad Owais Ismail ◽  
Sara Sadiq

Objective: To determine pathogen burden and susceptibility pattern of multi-drug resistant (MDR) Pseudomonas aeruginosa isolates from clinical specimens in Karachi. Methods: It was In-vitro Clinical study, conducted in department of Pharmacology, Ziauddin University, and isolates were collected from various specimens such as pus, tracheal aspiration, wound swab, blood and urine in Microbiology department of Ziauddin Hospital, Nazimabad campus, Karachi. The antibiotic susceptibility pattern was determined by Kirby Bauer Disc diffusion method. Samples were processed as per procedures defined by Clinical and Laboratory Standards Institute (CLSI) guidelines 2018. Results: About 55% were found to be multi drug resistant P. aeruginosa. Majority of the isolates (35.4%) were recovered from the age range 60-80 years. Maximum number of MDR P. aeruginosa was isolated from pus (33.1%) followed by tracheal aspiration (20.6%). Highest sensitivity was seen by colistin (100%) followed by ceftolozane/tazobactam (60%). Least sensitivity was observed with imipenem (19%). However, increase trend of resistance was seen among all antipesudomonal drugs. Conclusion: Increasing frequency of infections due to MDR P. aeruginosa is an emerging threat in our set up which can be prevented by prescribing antibiotics judiciously. Consistent lab detection and surveillance regarding this resistant pathogen is compulsory for providing effective health care to community. doi: https://doi.org/10.12669/pjms.35.6.930 How to cite this:Farooq L, Memon Z, Ismail MO, Sadiq S. Frequency and antibiogram of multi-drug resistant pseudomonas aeruginosa in a Tertiary Care Hospital of Pakistan. Pak J Med Sci. 2019;35(6):1622-1626. doi: https://doi.org/10.12669/pjms.35.6.930 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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