Retrospective analysis of antibiotic susceptibility and resistance patterns against nosocomial gram negative pathogens in fortis memorial research institute gurgaon

Author: 
Ruchika Bagga

Antibiotic resistance is an alarming problem globally, especially in developing nations like India. This study was aimed to study the susceptibility pattern of nosocomial gram negative microbes towards meropenem, piperacillin+tazobactam, amikacin and ceftriaxone+sulbactam+EDTA (Elores) in Fortis Hospital, Gurgaon, India. A total of 129 clinical isolates from various clinical specimens were collecte. All the samples were processed under strict quality control measures and identified as per standard microbiological methods. Susceptibility study was done by the disc diffusion method according to the procedure of Clinical Laboratory Standard Institute guidelines. Among 129 samples tested, 85 samples showed the presence of infection and 44 were sterile. Among the isolates, E. coli (43.52%) was found to be the most dominant pathogen followed by K. pneumoniae (20%), A. baumannii (9.41%), P. aeruginosa (9.41%). However, other Gram negative bacteria accounted for a cumulative share of 17.64%. Among the tested antibiotics, Elores was the most effective against all the tested pathogens with 87 to 100 % susceptibility. Results of the meropenem were comparable to Elores against P. aeruginosa (100% susceptibility), and other gram negative bacteria (93.35), except K.pnemoniae, E.coli and A. baumannii. The susceptibilities of meropenem against A. baumannii, E. coli and K. pneumoniae were 62.5, 37.8 and 35.3%. respectively. The susceptibilities of piperacillin+tazobactam and amikacin varied 29 to 64% and 47 to 83 %, respectively. Susceptibility to pathogens isolated from blood, sputum, urine, endotracheal secretion and broncho alveolar lavage showed poor response to all drugs studied except Elores. On the basis of our results we conclude that Elores is more effective than other tested antibiotics routinely used to treat gram negative bacterial infections.

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