Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, 430030, China
NCT Number: NCT01868152
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.
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Notify Me20 year–65 year
Female
Observational
Wuhan, Hubei, 430030, China
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
•History of chronic pain;
Time frame: 8 months
According to the measurement of pressure pain threshold before and after intravenous injection of opioid analgesics
Time frame: 8 months
According to the measurement of Narcotrend index before and after intravenous injection of opioid analgesics
Time frame: 8 months
According to the investigation of Ramsay Sedation Scale before and after intravenous injection of opioid analgesics
Time frame: 8 months
According to the measurement of respiratory frequency before and after intravenous injection of opioid analgesics
Huazhong University of Science and Technology
Other
Study of Prediction of Opioid Analgesic
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