Ontology highlight
ABSTRACT: Background
Skin and soft tissue infections (SSTIs) impose a substantial global and regional burden, and their management is increasingly complicated by antimicrobial non-susceptibility. In Saudi Arabia, data remain fragmented, with few studies providing species-level analyses stratified by specimen type and infection depth.Methods
We retrospectively analyzed 6,760 wound and tissue specimens (2016-2024) from a tertiary hospital in Riyadh, Saudi Arabia. Organisms were identified using standard microbiological methods and VITEK 2. Antimicrobial susceptibility testing was interpreted according to CLSI M100, defining non-susceptibility as resistant or intermediate categories. Binary logistic regression was used to assess temporal trends in antimicrobial non-susceptibility, with
SUBMITTER: Shabi Y
PROVIDER: S-EPMC12827636 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature