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10.1016/j.actatropica.2018.07.007

http://scihub22266oqcxt.onion/10.1016/j.actatropica.2018.07.007
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30006029!ä!30006029

suck abstract from ncbi


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pmid30006029      Acta+Trop 2018 ; 186 (ä): 102-106
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  • Causative agents and antimicrobial resistance patterns of human skin and soft tissue infections in Bagamoyo, Tanzania #MMPMID30006029
  • Kazimoto T; Abdulla S; Bategereza L; Juma O; Mhimbira F; Weisser M; Utzinger J; von Muller L; Becker SL
  • Acta Trop 2018[Oct]; 186 (ä): 102-106 PMID30006029show ga
  • Few epidemiological studies have been carried out to assess the aetiology and antimicrobial susceptibility patterns of pathogens giving rise to skin and soft tissue infections (SSTIs) in sub-Saharan Africa. In the present study from six healthcare facilities in Bagamoyo, Tanzania, wound swabs from outpatients with SSTIs were analysed by a suite of methods, including microbiological culture techniques, matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry and resistance testing. Among 185 patients with SSTIs, 179 (96.8%) swabs showed microbiological growth. In total, 327 organisms were found, of which 285 were of potential aetiological relevance. Staphylococcus aureus was the predominant pathogen (prevalence: 71.4%), followed by the Gram-negative bacteria Enterobacter cloacae complex (14.6%), Klebsiella pneumoniae (12.4%) and Pseudomonas aeruginosa (11.8%). While one out of three isolates of S. aureus showed resistance to macrolides, tetracyclines, cotrimoxazole and clindamycin, only a single methicillin-resistant S. aureus (MRSA) strain was found. In Gram-negative bacteria, resistance to ampicillin and cotrimoxazole was common, while extended-spectrum beta-lactamases were rarely detected (<1%). We conclude that S. aureus was the most frequently detected pathogen in community-acquired SSTIs in Bagamoyo, Tanzania. Resistance to commonly prescribed oral antibiotics was considerable, but multi-resistant strains were rarely encountered. Monitoring of antibiotic susceptibility patterns in SSTIs is important to provide specific data for tailoring treatment recommendations.
  • |Adolescent[MESH]
  • |Anti-Bacterial Agents/*pharmacology[MESH]
  • |Drug Resistance, Bacterial/*drug effects[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Microbial Sensitivity Tests[MESH]
  • |Middle Aged[MESH]
  • |Prospective Studies[MESH]
  • |Pseudomonas aeruginosa/*drug effects[MESH]
  • |Soft Tissue Infections/drug therapy/*microbiology[MESH]
  • |Staphylococcal Infections/drug therapy/*microbiology[MESH]
  • |Staphylococcus aureus/*drug effects[MESH]
  • |Tanzania[MESH]


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