The Realtime Detection for Prediction of Opioid Analgesic

Status Completed

Clinical Trial 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: 200 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.

Clinical Trial 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. ;

Study Design

Observational Model: Cohort

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT01868152
Study type	Observational
Source	Huazhong University of Science and Technology
Contact
Status	Completed
Phase	N/A
Start date	April 2013
Completion date	April 2014

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