Publications by authors named "Ingrid Yu-Ying Cheung"

: The combination of aztreonam (ATM) and avibactam (AVI) presents an important therapeutic option for carbapenem-resistant , particularly the NDM-producing . In 2024, both the CLSI and EUCAST published their methods in antimicrobial susceptibility testing for this combination of agents. : Forty carbapenem-resistant isolates, including ( = 35), complex ( = 2), complex ( = 2), and complex ( = 1) were included in this study.

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Article Synopsis
  • The study focuses on a multidrug-resistant fungal pathogen that poses risks for invasive infections and healthcare outbreaks, highlighting the absence of a dedicated review on its molecular diagnostics.
  • A systematic review of literature from January 2020 to November 2024 identified 28 relevant studies from an initial pool of 1115 records, exploring methods like sample pre-extraction, nucleic acid extraction, and available molecular assays.
  • The review provides insights into various extraction protocols and the performance of commercial and laboratory-developed tests, showcasing their sensitivity and specificity for effective pathogen detection.
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Objective: To develop an artificial intelligence model to predict an antimicrobial susceptibility pattern in patients with urinary tract infection (UTI).

Materials And Methods: 26 087 adult patients with culture-proven UTI during 2015-2020 from a university teaching hospital and three community hospitals in Hong Kong were included. Cases with asymptomatic bacteriuria (absence of diagnosis code of UTI, or absence of leucocytes in urine microscopy) were excluded.

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Background: The coronavirus disease 2019 (COVID-19) pandemic has put tremendous pressure on the healthcare system worldwide. Diagnostic testing remained one of the limiting factors for early identification and isolation of infected patients. This study aimed to evaluate posterior oropharyngeal saliva (POPS) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection among patients with confirmed or suspected COVID-19.

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