Yuya Itakura
Papers
1
Total Citations
4
H-Index
1
About
Yuya Itakura is a researcher at the forefront of perioperative medicine and anesthesiology, with a focused expertise in optimizing pain management for minimally invasive thoracic surgeries. His work centers on the intersection of regional anesthesia and advanced surgical techniques, particularly video- and robotic-assisted thoracoscopic surgery (VATS/RATS). Itakura’s major contribution lies in pioneering the use of the high frequency variability index (HFVI) as a predictive tool for postoperative pain. In his most cited 2024 observational study, he demonstrated that HFVI, derived from heart rate variability, can reliably forecast pain severity in patients receiving combined general anesthesia and peripheral nerve blocks. This finding offers a non-invasive, real-time method to tailor analgesic protocols, potentially reducing opioid reliance and enhancing recovery. While his citation count is still growing—his landmark paper has garnered 4 citations—its clinical relevance is already recognized. Itakura’s work is notable for bridging neurophysiological monitoring with patient-centered outcomes, marking him as an emerging voice in precision anesthesia. His research promises to refine how we anticipate and manage pain in the era of robotic surgery, making him a key figure to watch in anesthesiology.
Research Focus
Key Achievements
Top Papers
- 1