Prevalence and antibiotic susceptibility pattern of floroquinolone resistant S h i g e l l a species isolated from infants stool in Gulbarga district, Karnataka, India
| Autor: | Ajay Kumar Oli, C. Ashajyothi, R. Kelmani Chandrakanth, Prabhurajeshwar |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Microbiology (medical)
Shigellosis Antibiotic susceptibility lcsh:Arctic medicine. Tropical medicine medicine.drug_class lcsh:RC955-962 Antibiotics lcsh:Medicine medicine.disease_cause Microbiology Antibiotic resistance Shigella flexneri Medicine Shigella sonnei Shigella Shigella boydii biology business.industry lcsh:R biology.organism_classification medicine.disease Multiple drug resistance Infectious Diseases Infantile diarrhoea business Fluoroquinolones |
| Zdroj: | Asian Pacific Journal of Tropical Disease, Vol 5, Iss Sup 1, Pp 116-120 (2015) |
| ISSN: | 2222-1808 |
| Popis: | Objective To resolve the incidence rate of Shigella species and emergence of multiple drug resistance to cephalosporins and fluoroquinolones generation drugs in Gulbarga district and nearby area is a matter of concern for the better management of Shigellosis in children. Methods The study work involved all infants with acute diarrhoea, ranging 1 month to 5 years of age. Total 334 stool samples were collected during 2013-2014. Incidence, phenotypic and genotypic (16S rRNA) characteristics and antimicrobial resistance were determined for emerging antibiotics against Shigella strains were studied. Results Total 43 (12.87%) positive Shigella species retrieved from 334 stool samples, Shigella dysentriae (48.83%), Shigella flexneri (32.55%) were the predominant, followed by Shigella sonnei (18.60%) and no case of Shigella boydii (0%). Among the Shigella isolates 32 (74.41%) were MDR strains, confer the high resistance rate like 100%, 95.33%, 87.5% and 85% to different class of antibiotics studied. Conclusions This study illustrates the appearance of the results of long-term supervision and antimicrobial resistance in clinical Shigella strains. Data collected as part of the examination will be involved for developing treatment, allocate for the community and to present control report with which to discriminate outbreak strains in the future. |
| Databáze: | OpenAIRE |
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