ISSN: 0973-7510

E-ISSN: 2581-690X

Research Article | Open Access
Manjula Sidlagatta Ramakrishna1, Lavanya Jeyamani2 ,
Gomathi Chitra Abimannan1 and Leela Kakithakara Vajravelu1
1Department of Microbiology, SRM Medical College Hospital and Research Center, SRM Nagar, Kattankulathur – 603 203, Chengalpattu District, Tamil Nadu, India.
2Department of Microbiology, KMCH Institute of Health Science and Research, No 99, Avinashi road Coimbatore – 641 014, Tamil Nadu, India.
J Pure Appl Microbiol. 2021;15(2):915-925 | Article Number: 6881
https://doi.org/10.22207/JPAM.15.2.50 | © The Author(s). 2021
Received: 03/02/2021 | Accepted: 02/05/2021 | Published: 01/06/2021
Abstract

Skin and soft tissue infections (SSTIs) are the most common type of infection globally and also in India. Periodic evaluation of data on microbial profiling and antibiogram trend analysis is mandatory for creating a timely empirical treatment guideline and a proper antimicrobial cycling plan. In the current study, retrospective analysis of the data from 3,570 samples collected from suspected SSTI over one year was performed. Analysis was done on the clinical condition, causative agent/s identified and their antimicrobial susceptibility according to the standard guidelines. Seventy-three percent of samples yielded positive growth, with majority being unimicrobial infections. Gram-negative bacteria (GNB) were more commonly associated with infections from in-patients while Gram-positive cocci (GPC) were seen among out-patients. More than 70% of isolates among GNB were found susceptible to Carbapenems, piperacillin-tazobactam, amikacin and chloramphenicol. Among GPC, maximum sensitivity was seen to glycopeptides, linezolid followed by chloramphenicol, tetracycline, clindamycin and amikacin. Unusual resistance patterns like Penicillin resistant Ampicillin sensitive Enterococcus faecalis (PRASEF)strains, Multidrug resistance (MDR) and Extended drug resistance (XDR) were higher among Enterococci spp, MRSA, Acinetobacter spp and Klebsiella spp. Resistance to penicillin and cephalosporin drugs were high among GNB and GPC. Carbapenems, aminoglycosides, glycopeptides and broad-spectrum antibiotics are found sensitive and potential choices for empirical therapy. As prevalence of MDR and XDR strains were high and the trend analysis shows likelihood of few of the first and second line drugs becoming sensitive in future, we conclude that continued analysis of bacterial profiling and AMR pattern analysis among SSTI is essential.

Keywords

SSTI, Antibiogram pattern analysis, South India, bacterial profile, PRASEF

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