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- W2997478462 abstract "Abstract Objective Observing antimicrobial resistance (AMR) trends is critical to identify emerging pathogens and potential disease outbreaks. Determining these trends also allows for policy evaluations and development of interventions. We performed a retrospective analysis of microbiological testing results from a hospital and diagnostic facility in Lahore, Pakistan that represents country-wide sampling. Within this analysis, data was disaggregated by nationality, as it has been suggested that migration increases the burden of AMR. We sought to determine any trends in AMR among populations, which are often at-risk, while contributing to AMR surveillance in Pakistan, which currently does not have a national surveillance network. Methods Retrospective analysis of antimicrobial susceptibility records from 2014 to 2018 from Shaukat Khanum Memorial Cancer Hospital & Research Centre (SKMCH&RC) in Lahore, Pakistan was performed. All positive microbiological cultures from patients was analyzed to assess antibiotic resistance rates of the most common bacterial isolates and incidence of ESKAPE pathogens and emerging outbreaks among adults and children. Results For all years, data for a total of 12,702 and 78,130 bacterial and fungal isolates from children and adults, respectively, with Pakistani nationality were analyzed. For all years, data for 597 and 2470 bacterial and fungal isolates for children and adults, respectively, with Afghan nationality were analyzed. AMR rates largely did not vary between populations, but rather followed similar trends. AMR rates also largely agreed with the World Health Organization Global Antimicrobial Surveillance System results for Pakistan. Conclusion Pakistan requires increased AMR surveillance to identify emerging resistance infections and outbreaks." @default.
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- W2997478462 date "2019-11-22" @default.
- W2997478462 modified "2023-09-27" @default.
- W2997478462 title "Antimicrobial resistance trends from a hospital and diagnostic facility in Lahore, Pakistan: A five-year retrospective analysis (2014-2018)" @default.
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- W2997478462 doi "https://doi.org/10.1101/19012617" @default.
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