Miriam Renz
Papers
1
Total Citations
1
H-Index
1
About
Miriam Renz is a clinical anesthesiologist and researcher whose work centers on perioperative nociception monitoring, with a particular focus on the Nociception Level (NOL®) index during robot-assisted laparoscopic surgery. Her most-cited study, a 2025 monocentric retrospective analysis, investigates the real-time variations of NOL® measurements during robot-assisted laparoscopic prostatectomy, addressing a critical gap in modern anesthesia: the lack of an objective, clinically integrated tool to assess anti-nociceptive adequacy. By demonstrating how NOL® fluctuates under specific surgical stimuli, Renz provides valuable evidence for refining intraoperative analgesic management, potentially reducing complications linked to both under- and over-treatment of pain. While her citation count is still emerging, her work contributes to the growing field of closed-loop, physiology-guided anesthesia. Renz’s research is particularly relevant for anesthesiologists and perioperative medicine specialists seeking to move beyond traditional vital sign surrogates toward more precise, patient-specific nociception monitoring. Her findings help lay the groundwork for safer, more individualized anesthetic care in minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
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