The Realtime Detection for Prediction of Opioid Analgesic
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ClinicalTrials.gov Identifier: NCT01868152
Recruitment Status :
First Posted : June 4, 2013
Last Update Posted : March 22, 2016
Huazhong University of Science and Technology
Information provided by (Responsible Party):
Xianwei Zhang, Huazhong University of Science and Technology
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.
Condition or disease
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.
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Ages Eligible for Study:
20 Years to 65 Years (Adult, Older Adult)
Sexes Eligible for Study:
Accepts Healthy Volunteers:
Chinese female patients receiving elective surgery under general anesthesia
Aged 20-65 years
Anesthesiologists (ASA) physical status I or II;
Within ±20% of ideal body weight;
Agreed to participate the research
Exclusion Criteria: •History of chronic pain;
Severe cardiovascular diseases;
Kidney or liver diseases;
Alcohol or drug abuse (according to the criteria of DSM-IV);