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Prevalence and associated risk factors of staphylococcus aureus and methicillin-resistant staphylococcus aureus isolates obtained from patients seeking treatment in Nakuru county referral and teaching hospital, Kenya

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  • Soi Chelang’at Joan
  • Karanja Simon
  • Sang Willie

Abstract

Staphylococcus aureus is a pathogenic bacterium that can evolve rapidly to methicillin-resistant Staphylococcus aureus (MRSA). MRSA is a global health concern that is associated with significant morbidity and mortality. This study was to determine the prevalence and Associated Risk Factors of staphylococcus aureus and MRSA isolates obtained from patients seeking treatment in Nakuru County Referral and Teaching Hospital. A descriptive cross-section study design was used with a laboratory experimental component and it was carried out in Nakuru County Referral and Teaching Hospital, Kenya. A total of 354 laboratory samples were randomly collected from different laboratory samples/sites: blood, urine, wound, nasal swabs, pus, tissue, abscess, sputum, ear swabs, as well as cerebrospinal fluid (CSF) culture, skin swabs and synovial fluid culture over a period of six months. These samples were tested for presence of staphylococcus aureus and MRSA isolates using Culture methods and Antibiotic Sensitivity Tests. The study analyzed 354 participants, with a median age of 35 years. Most participants (56.7%) were from medical wards, 20.4% from outpatient clinics, and 11% from Diabetic Care Centre. Staphylococcus aureus was found in 7.1% of samples, with MRSA present in 2.3%. Other isolated organisms included Coagulase Negative Staphylococci (7.1%), E. coli (6.8%), Proteus spp. (5.1%), and Pseudomonas spp. (5.9%). The prevalence of MRSA among the participants is low.

Suggested Citation

  • Soi Chelang’at Joan & Karanja Simon & Sang Willie, 2024. "Prevalence and associated risk factors of staphylococcus aureus and methicillin-resistant staphylococcus aureus isolates obtained from patients seeking treatment in Nakuru county referral and teaching," Scientific Modelling and Research, Online Science Publishing, vol. 9(1), pages 1-14.
  • Handle: RePEc:onl:scmare:v:9:y:2024:i:1:p:1-14:id:1166
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