Enhancing Candida auris Surveillance in High-Risk Settings by Implementing a High-Throughput Molecular Assay on the Hologic Fusion Open Access Platform.
Filipe M CerqueiraJennifer BertschMary Ann DeMaetTeresa YorkApril N McDougalJanak A PatelPing RenPublished in: Journal of fungi (Basel, Switzerland) (2024)
Candida auris , a resilient pathogenic yeast with frequent multidrug resistance, presents a persistent challenge in healthcare settings. The timely identification of C. auris is crucial for infection control and prevention, especially in facilities facing unique hurdles, such as our institution, which serves four major hospitals and approximately 80% of the Texas inmate population. Understaffing, communal living, and financial constraints exacerbate infection control issues. To address common staff shortages, streamline testing services, and enhance testing efficiency, there was a pressing need for rapid and high-throughput detection of C. auris . This study presents the validation and utility of an assay implemented on the Hologic Fusion Open Access platform using samples collected from high-risk patients' axilla and groin areas, as well as environmental swab samples from patient rooms. Our assay complemented efforts to control C. auris outbreaks within our healthcare system, providing valuable insights into its presence within surveillance samples. This assay demonstrated the value of high-throughput molecular detection platforms in challenging healthcare environments by aiding infection preventionists in containing the spread of C. auris and preventing nosocomial infections. Our research contributes essential data on the suitability and performance of the Hologic Fusion Open Access platform for C. auris detection. These findings hold significant implications for enhancing surveillance and control measures in high-risk settings, making a significant impact on the field of infection control and prevention.
Keyphrases
- high throughput
- healthcare
- single cell
- public health
- minimally invasive
- loop mediated isothermal amplification
- end stage renal disease
- escherichia coli
- chronic kidney disease
- ejection fraction
- primary care
- newly diagnosed
- candida albicans
- cystic fibrosis
- early stage
- case report
- electronic health record
- radiation therapy
- biofilm formation
- big data
- health information
- patient reported outcomes
- artificial intelligence
- patient reported
- human health
- infectious diseases