AI Article Synopsis
- The study aimed to analyze local antibiograms from a tertiary care center to track antimicrobial resistance (AMR) trends and create baseline data for ongoing monitoring.
- A review of data from King Fahad Medical City (2010-2015) revealed that most isolates were gram-negative, with Escherichia coli being the most common, and a notable increase in antibiotic-resistant variants over time.
- While the susceptibility of Streptococcus pneumoniae to penicillin improved significantly, the rise in resistance among gram-negative bacteria highlights the need for better antimicrobial stewardship efforts.
Article Abstract
To describe and interpret local antibiograms from a single tertiary care center to monitor the trends of antimicrobial resistance (AMR) patterns and establish baseline data for further surveillance. Methods: We performed a retrospective descriptive review of antibiograms data between January 2010 and December 2015 from King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia. Results: A total of 51,491 isolates were identified, and most were gram-negative (76.2%). Escherichia coli was the most frequently isolated organism (36.8%), followed by Coagulase-negative Staphylococcus (28.4%) and Staphylococcus aureus (27.5%). The detection of antibiotic-resistant organisms, especially extended-spectrum beta-lactamase-producing Escherichia coli (31%-41%), increased over time. The sensitivity of Streptococcus pneumoniae to penicillin improved from 66% to 100% (p less than 0.001). Gram-negative isolates had excellent overall susceptibility to amikacin, variable susceptibility to piperacillin-tazobactam and carbapenems, and declining susceptibility to ceftazidime, ciprofloxacin, and cefepime. Conclusion: Streptococcus pneumoniae susceptibility to penicillin significantly improved over time, which might be because of the introduction of the pneumococcal vaccine. Conversely, the upward trend in resistant gram-negative organisms is worrisome and warrants the implementation of antimicrobial stewardship programs.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468207 | PMC |
| http://dx.doi.org/10.15537/smj.2019.3.23947 | DOI Listing |
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