SiM20 Posters

Sensors in Medicine 2020 18 Detecting Next-Generation Digital Biomarkers in Sweat for a First, Non-Invasive Antibiotic Stewardship in Skin and Soft Tissue Infections Noé Brasier 1 , Andreas Widmer 3 , Michael Osthoff 2 , Markus Mutke 1,2 , Fiorangelo De Ieso 1,2 , Pascale Brasier-Lutz 6 , Kitty Brown 4 , Linxing Yao 4 , Corey D. Broeckling 4 , Jessica Prenni 5 and Jens Eckstein 1,2 1. CMIO research group | Department of Digitalization & ICT | University Hospital Basel (CH) 2. Department of Internal Medicine | University Hospital Basel (CH) 3. Department of Infectious Diseases and Hospital Epidemiology | University Hospital Basel (CH) 4. Analytical Resources Core - Bioanalysis and Omics Centre | Colorado State University (USA) 5. Department of Horticulture & Landscape | Colorado State University (USA) 6. Department of Gynaecology | Kantonsspital Luzern | Standort Wolhusen (CH) Introduction Monitoring antibiotic concentrations in tissue is crucial to optimize treatment of infectious diseases. (1) In-adequate antibiotic concentrations are more likely to lead to insufficient treatment success, but a reliable test at the point of care remains lacking. (2) Serum concentrations may not predict tissue concentrations e.g. in patients with peripheral artery disease. (3) We investigated if vancomycin – an antibiotic with poor tissue penetration - is detectable in sweat samples of in-patients treated with the respective antibiotic. Methods In-patients treated with intravenous vancomycin were included. Eccrine sweat samples were collected using the Macroduct Sweat Collector® (Figure 1). A blood sample was taken in parallel. Bio-fluid analysis was performed by Ultra-high Pressure Liquid Chromatograph-Tandem Quadrupole Mass Spectrometry. Figure 1. Sweat collection by the Macroduct Sweat Collector®. A) Sweat induction using a local current and pilocarpine. B) Capillary sweat collection. C) About 70µl eccrine sweat .

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