scholarly journals Antimicrobial Resistance Pattern of Eskape Pathogens Isolated From Various Clinical Samples

2021 ◽  
Vol 39 ◽  
pp. S24
Author(s):  
B. Neeharika ◽  
R. Vinod. ◽  
Gerard Rakesh ◽  
V. Natarajan.
Keyword(s):  
Antimicrobial Resistance ◽  
Clinical Samples ◽  
Resistance Pattern ◽  
Eskape Pathogens

scholarly journals Genotypic characterization, invasion index and antimicrobial resistance pattern in Listeria monocytogenes strains isolated from clinical samples

2015 ◽  
Vol 4 (2) ◽  
pp. 141-146 ◽  
Author(s):  
Behrooz Sadeghi Kalani ◽  
Abazar Pournajaf ◽  
Mansour Sedighi ◽  
Abbas Bahador ◽  
Gholamreza Irajian ◽  
...  
Keyword(s):  
Listeria Monocytogenes ◽  
Antimicrobial Resistance ◽  
Clinical Samples ◽  
Resistance Pattern ◽  
Genotypic Characterization ◽  
Invasion Index

scholarly journals Acinetobacter Species: Phenotypic Characterization And Antimicrobial Resistance

2013 ◽  
Vol 2 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Medhabi Shrestha ◽  
Basuda Khanal
Keyword(s):  
Antimicrobial Resistance ◽  
Antimicrobial Agents ◽  
Wide Spectrum ◽  
Acinetobacter Calcoaceticus ◽  
Phenotypic Characterization ◽  
Clinical Samples ◽  
Resistance Pattern ◽  
Acinetobacter Species ◽  
Acinetobacter Junii ◽  
Microbiological Methods

Background: Acinetobacter species is ubiquitous, aerobic gram-negative coccobacilli that are now emerging as an important nosocomial pathogen. Objectives: The present study was designed to know the prevalence of Acinetobacter in various clinical samples, their characterization and their antibiotic susceptibility pattern in B.P. Koirala Institute of Health and Sciences, Dharan. Methodology: Hundred Acinetobacter isolates obtained from different clinical specimens were taken. Identification to species level was done according to standard microbiological methods. Antimicrobial susceptibility to 10 antimicrobial agents was performed by Kirby Bauer method with special reference to Minimum inhibitory concentration to meropenem. Result : The predominant Acinetobacter isolate was Acinetobacter calcoaceticus (42%) followed by Acinetobacter baumannii (34%) , Acinetobacter lwoffii (18%) and Acinetobacter junii (6%). Resistance pattern to various drugs were Meropenem (19%), Piperacillin (96%), Piperacillintazobactum (43%) , Amikacin (51%), Ceftazidime (84%), Ceftriaxone (66%), Co-trimoxazole (58%), Gentamicin (57%), Ciprofloxacin (55%), Tetracycline (53%) . Eleven isolates of Acinetobacter were resistant to Meropenem as detected by MIC testing whereas resistant Acinetobacter by disc diffusion technique were 19 in number. Conclusion: Occurrence of Acinetobacter in our hospital as an important clinical isolate is a serious matter of concern. Moreover, its involvement in wide spectrum of diseases and development of resistance to commonly used antimicrobials has further worsened the situation. Prudent use of antimicrobials, effective surveillance of antimicrobial resistance and adherence to infection control practices, perhaps are the key factors that may prevent the development and dissemination of resistance among the local isolates. Journal of Nobel Medical College Vol. 2, No.1 Issue 3 Nov.-April 2013 Page 43-48 DOI: http://dx.doi.org/10.3126/jonmc.v2i1.7675

scholarly journals An Update on Secondary Bacterial and Fungal Infections and Their Antimicrobial Resistance Pattern (AMR) in COVID-19 Confirmed Patients at a Tertiary Care Hospital

2022 ◽  
Author(s):  
Sushma Yadav Boorgula ◽  
Sadhana Yelamanchili ◽  
Pragathi Kottapalli ◽  
Mohini D. Naga
Keyword(s):  
Antimicrobial Resistance ◽  
Fungal Infections ◽  
Treatment Options ◽  
Tertiary Care ◽  
Clinical Samples ◽  
Resistance Pattern ◽  
P Value ◽  
Care Hospital ◽  
Stewardship Program ◽  
Secondary Infections

Abstract Introduction Since coronavirus disease 2019 (COVID-19) has limited treatment options, concern has been raised over secondary infections and antimicrobial resistance (AMR) patterns. It has been observed that patients who were infected with COVID-19 were predisposed to develop secondary infections. The purpose of the study is to ascertain the prevalence of the bacterial and fungal coinfections in COVID-19 patients, and also to assess the AMR patterns in the obtained isolates. Methods We have studied 200 clinical samples obtained from 122 COVID-19 positive patients. Pathogens were identified using Vitek 2 system. The demographic and clinical patterns were also observed. Results A total of 122 patients developed secondary infections. Patients aged more than 40 years were majorly affected (p-value < 0.0001). Respiratory samples (n = 96) were predominant. Klebsiella pneumoniae (n = 68) was the most common pathogen isolated followed by Acinetobacter baumannii (n = 54) and an overall 6% rise in the Carbapenem resistance was observed in the isolates. Conclusion To contain the secondary infections in COVID-19 patients, it is imperative to adhere to antimicrobial stewardship program and timely revise the empirical antibiotic policy.

Sign in / Sign up

Export Citation Format

Share Document