IJSR International Journal of Scientific Research 2277 - 8179 Indian Society for Health and Advanced Research ijsr-7-8-16216 Original Research Paper AEROBIC BACTERIOLOGICAL PROFILE OF SKIN AND SOFT TISSUE INFECTIONS (SSTI`S) WITH IT`S ANTIMICROBIAL SENSITIVITY PATTERN AT JORHAT MEDICAL COLLEGE& HOSPITAL. Bora Dr. August 2018 7 8 01 02 ABSTRACT

BACKGROUND  The development ofwound infection depends on the integrity and prospective function of skin(1).Skin and soft–tissue infections (SSTIs) are a common presenting problem in both inpatients and outpatients(2).).Wound infection is one of the most common hospital acquired infections and important cause of morbidity and accounts for 70–80 %.(3).

AIMS– The  study  is  conducted  to find  out  the  common organisms  in  skin and soft tissue infections  and their antibiotic  sensitivity pattern.

MATERIALS & METHODS– The  study was  conducted  in department  of  Microbiology  of Jorhat  Medical  College  & Hospital between October, 2017 to March,2018.Pus,woundswabs,aural swabs collected from various clinical departments  were processed according  to  standard microbiological techniques and Antibiotic  sensitivity  testing  is  done  using Kirby Bauer,s Disc diffusion technique  according  to  C.L.S.I  guideline.            

RESULTS– Out of 207  samples  received 134 cases  (64.73%)  showed  culture  positivity  while  73(35.27%)  were  culture  negative.  The  most  common  organism  isolated  was  Staphylococcus  aureus (47.01%)  followed  by  Klebsiella  species (24.63%), Pseudomonas (13.43%),Escherichia coli(8.96%), Enterococcus species(3.73%) & Proteus (2.24%).Gram  positive cocci  were  100%  sensitive  to  Vancomycin. Gram  negative  bacilli showed  highest  susceptibility  to  Imipenem&  least  sensitive  to  AmoxycillinClavulanic acid.

 

CONCLUSION  The  study  concludes  that   the most  common  organism  causing  skin  and  soft  tissue  infections  is  Staphylococcus  aureus  followed  by Klebsiella.. However   a  changing  pattern  were  noted  among  the  organisms  isolated as well as  their  antibiotic  sensitivity  pattern in  various  studies  from  different geographical  locations.  Hence, a local  antibiotic  policy  based on common organisms  isolated and their  antibiotic susceptibility pattern can  be  adopted  which  will  prevent  resistance  among  organisms  and help  in  early  recovery  from  infection.