%0 Journal Article
%T Microbial Spectrum and Resistance Patterns in Ocular Infections: A 15-Year Review in East China.
%A Liu C
%A Ding B
%A Ji J
%A Wang Z
%A Chen H
%A Cao W
%J Infect Drug Resist
%V 14
%N 0
%D 2021
%M 34140784
%F 4.177
%R 10.2147/IDR.S314647
%X <B>UNASSIGNED: </B>To report antibiotic resistance rates and trends of common ocular isolates collected over a 15-year period.<BR><B>UNASSIGNED: </B>We collected 3533 isolates from July 1, 2005 to July 31, 2020. Antibiotic sensitivity was determined according to the guidelines of the Clinical and Laboratory Standards Institute. Chi-squared (χ 2) test was used to analyze changes in antibiotic susceptibility over 15 years.<BR><B>UNASSIGNED: </B>Among the 3533 isolates, the predominant pathogens were the staphylococcal species. Methicillin resistance was observed in 381 Staphylococcus aureus (S. aureus) isolates (46.4%) and 1888 coagulase-negative staphylococci (CoNS) isolates (61.1%), and methicillin-resistant (MR) isolates had a high probability of concurrent resistance to fluoroquinolones and aminoglycosides. The mean percentage of resistance in staphylococcal isolates did not reach statistical significance across patient age groups (P = 0.87). Methicillin resistance did not increase in the CoNS (P = 0.546) isolates, and resistance to methicillin slightly decreased among S. aureus (P = 0.04) isolates over 15 years. Additional exploratory analysis revealed a small decrease in resistance to tobramycin (P = 0.01) and chloramphenicol (P < 0.001) among the CoNS isolates. All staphylococcal isolates were susceptible to vancomycin.<BR><B>UNASSIGNED: </B>Staphylococci were the most common microorganisms responsible for causing ocular infections. Antibiotic resistance was high among staphylococci, with nearly half of these isolates were resistant to methicillin and these had a high probability of concurrent resistance among MR staphylococci to other antibiotics. Overall, ocular resistance did not significantly change during the 15-year study period. We conclude that continued surveillance of antibiotic resistance provides critical data to guide antibiotic selection.