FEB 06, 2014 07:00 AM PST
Barriers to analgesic use - assessing the potential interactions of analgesics and unalleviated pain on research outcomes
Presented at the Lab Animal Sciences 2014 Virtual Event
4 160

Speakers:
  • Assistant Professor of Laboratory Animal Medicine, Veterinarian, University of Michigan Medical School
    Biography

       
      Dr. Lofgren received her veterinary and masters of comparative biomedical science degrees from TuftsUniversity. She then completed a post-doctoral fellowship in comparative medicine at the Massachusetts Institute of Technology where she studied therole of infectious disease in cancer development, as well as evaluating animal welfare refinements. Upon achieving ACLAM diplomate status, Dr. Lofgren pursued a visiting research fellowship with the Pain and Animal Welfare Science (PAWS) Group at Newcastle University where she engaged in analgesia research and provided clinical support. Following her time in England, Dr. Lofgren joined the University of Michigan's Unit for Laboratory Animal Medicine as a Clinical Assistant Professor. Her professional interests include minimizing pain and distress in laboratory animals as a clinical veterinarian and research scientist. Dr. Lofgren also enjoys teaching, training and mentoring veterinary residents and students.
       

    Abstract:
    Regulations and guidelines governing the use of animals in research require minimization of pain and distress. However, pharmacologic treatments to prevent or alleviate pain can interfere with the disease process being modeled. This presents a challenge to the veterinary and investigative staff in determining how to best optimize both animal comfort and research results. An important component of this decision making process receives comparatively little consideration: the impact of unalleviated pain on that same disease process. In this talk, we will discuss possible interactions of analgesics and unalleviated pain and how this may affect whether certain treatments are recommended, contraindicated, or perhaps without impact in various research models.

    Show Resources
    Loading Comments...