Matthias Behrends

Dr. Matthias Behrends is a Clinical Professor at the University of California, San Francisco (UCSF), affiliated with the School of Medicine and Department of Anesthesia and Perioperative Care. He joined UCSF in 2004 and specializes in regional anesthesia and multimodal pain management. His research focuses on optimizing treatment strategies for acute and postoperative pain, including innovations in anesthetic techniques and electronic health record (EHR) interventions to improve patient outcomes.

Education: Earned his medical degree (MD) from the University of Göttingen. Completed residency in Anesthesiology at the University of Duisburg-Essen, followed by a postdoctoral fellowship in Pathophysiology, studying myocardial hibernation and ischemic preconditioning. He has also held roles at UCSF locations including Mission Bay, Mount Zion, and Parnassus.

Research Interests: Dr. Behrends' work spans regional anesthesia techniques, perioperative pain management, and clinical trials evaluating new analgesic strategies. His studies include the use of infrared pupillometry for pain assessment and the implementation of EHR-based protocols to enhance opioid optimization and NSAID utilization in hospitalized patients.

Recent Articles Overview: His publications highlight advancements in multimodal analgesia, EHR-driven interventions, and comparative studies on anesthesia techniques for joint arthroplasty and spine surgery. He has contributed to consensus guidelines for perioperative care in endoscopic procedures and explored outcomes for patients on chronic buprenorphine undergoing surgery.

Grants & Advising: While specific grants are not detailed, his research aligns with clinical trials and translational projects in anesthesia and pain management. He has advised on multiple randomized controlled trials and observational studies. No formal awards are listed in the provided texts.

Labs/Teams: Collaborates extensively with UCSF's perioperative teams and research groups focused on surgical outcomes and pain assessment technologies.