BioBE has received funding for a new project as part of the new University of Oregon – Oregon Health Sciences University (UO-OHSU) Collaborative Seed Grant Program! BioBE’s Dr. Kevin Van Den Wymelenberg, and Dr. Bob Martindale, Professor of Surgery, Chief of Gastrointestinal and General Surgery, and Medical Director of the Hospital Nutritional Service at OHSU, will be leading the project, along with Dr. Brendan Bohannan, Professor of Environmental Studies and Biology at the UO Institute of Ecology and Evolution, and BioBE’s Drs. Ashkaan Fahimipour and Sue Ishaq.
These grants are designed to foster high-impact pilot research between the two universities and to spark long-term collaborations. The full list of award recipients can be found here.
The project is set to begin in July; “Predicting Healthcare-Associated Clostridioides difficile Infection Probabilities in Inpatient Units”
Approximately 10% of patients will be accidentally harmed during inpatient medical care due to healthcare-associated infections (HAIs). These infections prolong patient illness, cause death, and financially burden hospitals and society; predicting when and why HAIs will occur is a key goal for fundamental and applied healthcare science. We aim to gather key data to pilot the development of new statistical and machine learning models, which map patients’ probabilities of acquiring HAIs onto the spatial distributions of living microorganisms from hospital surfaces, using C. difficile infection rates in inpatient units at Oregon Health & Science University (OHSU) as a model system. Our models will leverage information about in situ distributions of viable indoor microbes across patient rooms, and assembled genomes of C. difficile isolates from hospital surfaces, to probe the hypothesis that the built environment contributes to patient HAIs by inadvertently providing reservoirs of microbial pathogens with particular functional characteristics. Results of this pilot study will provide the empirical foundation for larger-scale future experiments, that will contribute to the refinement of predictive statistical models through the study of more hospital buildings, and investigations of alternate fomites and microbial reservoirs including physicians’ and nursing staff’s clothing, medical equipment, computer keyboards, and personal phones. A coherent understanding of the most salient environmental sources of HAIs could improve the placement of patients, assist in monitoring vectors of concern for infection control, and ultimately guide building design and operation.