학술논문

Aerobic bacteriological profile and antimicrobial susceptibility pattern of pus isolates from tertiary care hospital in India.
Document Type
Article
Source
Journal of Infection in Developing Countries. Oct2018, Vol. 12 Issue 10, p842-848. 7p.
Subject
*BACTERIOLOGY
*MICROBIAL sensitivity tests
*TERTIARY care
*MEDICAL care
*SEPSIS
*ESCHERICHIA coli
Language
ISSN
2036-6590
Abstract
Introduction: Pyogenic infections are an important cause of sepsis. These infections are difficult to treat because of the pathogens with increasing antibiotic resistance. It is important to know the pathogens causing the infections and its antibiotic susceptibility for proper management of the patients. Methodology: A retrospective analysis of 1428 culture positive pus and tissue samples received in the department of microbiology from various departments in the hospital between January 2012 to 2017 was performed. Data regarding the pathogen isolated and its antimicrobial susceptibility were collected and analyzed. The specimens were primarily processed, as per standard methods. Identification and susceptibility testing was done using the Vitek-2C system. Results: Among the samples males outnumbered females (M: F-2.5:1) and the median age was 47 years. The total number of patients were 1428 with total number of isolates being 1525 as in our study monomicrobial infections were seen in 93.2% (1331/1428) patients whereas combined infections with growth of two pathogens in 6.8% (97/1428). Gram-negative bacilli were isolated in 68.3% (1042/1525). Among the Gram-negative bacilli Escherichia coli was the major pathogen isolated (38.6%, 403/1042). Gram positive organisms were isolated in 31.6% (483/1525) of cases and Staphylococcus aureus was the predominant organism isolated (91.7%, 443/483). Rare pathogens like Burkholderia pseudomallei in 3 patients and Nocardia in one patient were also isolated. Conclusion: This study emphasizes to understand the common organisms isolated from wound infections and it helps in empirical treatment of patients based on antibiotic susceptibility patterns. [ABSTRACT FROM AUTHOR]