NCT01868152

The Realtime Detection for Prediction of Opioid Analgesic

Study of Prediction of Opioid Analgesic

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 131 (actual)
• Sponsor: Huazhong University of Science and Technology · Academic / Other
• Sex: Female
• Age: 20 Years – 65 Years
• Healthy volunteers: Not accepted

Summary

This study aimed to find a quick and timely way to predict the individual variation of efficacy of opioid analgesic during the operation and postoperative analgesia in Chinese patients undergoing elective surgeries. Methods: female patients receiving elective surgery under general anesthesia were recruited into this study. At the time of routine intravenous anesthetic induction we observe the efficacy of opioid analgesic including analgesic effect, effects on Narcotrend index, sedative effect, effects on respiratory system, and aslo effects on cardiovascular system. Then we record the consumption of of opioid analgesic during the operation and postoperative analgesia. Also we record the side effect of the opioid analgesic.

Detailed description

Patients with the following diseases were excluded: known history of chronic pain, psychiatric diseases or communication disorders, diabetes mellitus, severe cardiovascular diseases, kidney or liver diseases with poor hepatic function, alcohol or drug abuse, heavy smoker, pregnancy or at the lactation period.

Conditions

• Surgery
• Individuality

Timeline

• Start date: 2013-04-01
• Primary completion: 2014-04-01
• Completion: 2014-04-01
• First posted: 2013-06-04
• Last updated: 2016-03-22

Locations

1 site across 1 country: China