Aman Ullah, Dorte Frees, Mujahida Mansoor, Shah Faisal Jamal, Jan Tkadlec
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引用次数: 0
Abstract
We aimed to determine the prevalence of antimicrobial resistance, carriage of Panton-Valentine leucocidin (PVL), and the clonal structure of MRSA isolates collected from skin and soft tissue infections at a tertiary care hospital in Pakistan. Between August 2021 and May 2022, 154 non-repetitive MRSA isolates were consecutively collected and characterized by antimicrobial susceptibility testing, SCCmec typing, spa typing, and detection of PVL by PCR. MLST clonal complexes (CCs) were inferred from spa type using the Based Upon Repeat Pattern (BURP) algorithm. High levels of resistance were observed to ciprofloxacin (85.7%), erythromycin (76.0%), sulfamethoxazole (68.8%), gentamicin (68.8%), fusidic acid (57.8%), tetracycline (55.8%), and clindamycin (42.2%). Clonal analysis revealed 16 lineages, with the most frequent being CC8-MRSA-IV (27.3%), PVL-positive "Bengal Bay" CC1/ST772-MRSA-V (26.0%), and CC1-MRSA-IV (16.2%). PVL was detected in 45.5% of isolates across multiple lineages. Our findings highlight the coexistence of high antimicrobial resistance and frequent PVL carriage among MRSA in Pakistan. Given the association of PVL with severe infections and the limited treatment options for multidrug-resistant strains, these data underscore a significant public health concern and the need for systematic surveillance and prudent antibiotic use.
期刊介绍:
Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.