Multi-drug resistance of Staphylococcus aureus Strains in Baqiyatallah hospital: a Primary Step Towards Digital Health Biomonitoring Systems
Abstract
The study aimed to assess the drug resistance patterns of Staphylococcus aureus infections at Baqiyatallah Hospital from 2010 to 2019 and to introduce an advanced monitoring and detection system utilizing molecular laboratory techniques combined with molecular delimitation analyses. This initiative serves as a foundational step toward establishing a digital health system at Baqiyatallah Hospital, potentially setting a precedent for other medical institutions. A total of 100 patients suspected of having S. aureus infections were sampled. Bacterial identification was confirmed through standard biochemical tests, and antibiograms were performed for all patients. Subsequently, total bacterial DNA was extracted, and the 16S rDNA gene was amplified and sequenced. To detect potential cryptic strain groupings, the automated barcode gap discovery (ABGD) molecular delimitation method was applied.
The findings revealed that Ceftaroline was the most effective antibiotic, whereas Erythromycin and Oxacillin were the least effective. The delimitation analysis identified 19 distinct groups, with group 19 exhibiting location-specific genetic markers associated with susceptibility to Erythromycin and Oxacillin. These results underscore the importance of genetic identification of bacterial strains before administering antibiotics to minimize unnecessary drug use and facilitate bacterial biomonitoring concerning their response to commonly used antibiotics.