![]() |
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Hospital acquired infections (HAI) are counted as major reasons of mortality, morbidity and emotional stress in hospitalized patients. These infections has also enhanced burden on health care institutions. It has also been estimated that at any time over 1.4 million people worldwide suffer from nosocomial infections. The main reason for this alarming situation is resistant microorganisms of hospitals. The objective of this study was to isolate and identify the bacterial etiological agents responsible for nosocomial infection and to evaluate antimicrobial susceptibility pattern of these isolates. This study was conducted in the Department of Microbiology, C. U. Shah Medical College, Surendranagar; Gujarat. Various clinical specimens fulfilling the requisite criteria were included in the study. Specimens were collected and further processed for identification and antimicrobial susceptibility pattern through automated system (Vitek-2) as per standard guidelines. Out of total 1324 culture positive specimens, 187 were classified as HAI as per standard definition. The most frequent type of HAI was surgical site infection (45%) followed by Respiratory tract infection (25%). More than 80% of these types of infections were caused by the Gram-negative Bacteria (GNB). Klebsiella sp. (25%), Acinetobacter baumannii (19%), Pseudomonas sp. (16%), E. coli (13%) and Staphylococcus aureus (12%) were the common organisms. Among 24 S. aureus isolates, 18 (78%) were found to be Methicillin resistance Staphylococcus aureus (MRSA). Majority of Gram-negative isolates showed high resistant against amoxicillin, cefuroxime, cefotaxime and ceftriaxone. The present study reports 187 isolates with HAI. Hand washing practices, operational theater surveillances and periodic training of health care workers can reduce these incidences in hospital.
![]() |
![]() |
![]() |
![]() |
![]() |