Antimicrobial resistance surveillance of various clinical isolates in a diagnostic laboratory- An observational study

Autor: Sreekanth Reddy Basired, Amarnath K Reddy, Naresh Yajamanam, Chakrapani Kammineni, A. Mahammed Shafi
Rok vydání: 2019
Předmět:
Zdroj: Indian Journal of Microbiology Research. 6:202-207
ISSN: 2394-5478
2394-546X
DOI: 10.18231/j.ijmr.2019.045
Popis: Introduction: Infectious diseases are among the top most killers with great mortality and morbidity. Antibiotic prescription is a very common entity in a clinical setup. Because of the inadvertent and irrational use of antibiotics, increasingly drug resistance is being observed among the clinical isolates, which takes a great toll on the health, economical and social status of the affected. Multidrug resistance is observed among all the major bacterial species. Antimicrobial resistance surveillance should be done at local, regional, and national level in order to formulate the antibiotic policies which helps in guiding the clinicians in rational use of antibiotics. The present study emphasizes on systematic analysis of the Antimicrobial resistance surveillance of various clinical isolates in and around Kurnool which helps the local clinicians in the better management of the patients. Aims and Objectives: The present study aims in identifying the etiological agents from various clinical samples and detecting their resistance pattern. Materials and Methods: All the samples sent to the Microbiology department in Bharathi Diagnostics, Kurnool, Andhra Pradesh, during the study period of January 2018 to December 2018 were processed according to the standard protocols. Antimicrobial susceptibility testing was done for all the significant isolates by using Kirby Bauer disc diffusion method and the interpretation was carried out as per the CLSI guidelines. The most common clinical samples obtained were Urine, Blood, Pus/ Wound swab, Sputum and other Body fluids. Keywords: Gram positive organisms, Gram negative organisms, Local pattern Surveillance.
Databáze: OpenAIRE