The Realtime Detection for Prediction of Opioid Analgesic

Huazhong University of Science and Technology

Status: Completed

Conditions: Surgery; Individuality

Study type: Observational

Funder types: Other

Identifiers

NCT01868152

Predictive opioid

Details and patient eligibility

About

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.

Full 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.

Enrollment: 131 patients

Sex: Female

Ages: 20 to 65 years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• 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;

• Psychiatric diseases;
• Diabetes mellitus;
• Severe cardiovascular diseases;
• Kidney or liver diseases;
• Alcohol or drug abuse (according to the criteria of DSM-IV);
• Pregnancy or at lactation period;
• Disagree to participate to the research