Establishment of predicting equation for individual sufentanil dosage postoperatively based on gene polymorphisms.

BACKGROUND Postoperative analgesia is widely used for patients undergoing major surgeries. Individual differences in genetic polymorphisms may be obstructive factors for accurately anesthetics using. However, the equation for predicting sufentanil dosage postoperatively based on genetic design has been established yet. Our aim was to establish sufentanil dosage postoperatively prediction equation based on patients' genetic polymorphisms. METHODS 140 patients with total gastrectomy and radical resection of pulmonary carcinoma were included. To establish sufentanil dosage postoperatively for gastric cancer patients, we collected patients' basic information and CYP3A4*1G, COMTVal158Met, OPRM1A118G and ABCB1C3435T gene sequencing results. To verify this equation, we put lung cancer surgeries patients' information into it. RESULTS The sufentanil dosage prediction equation postoperatively was y = 4.104 - 0.222 × [gender] + 0.021 × [OPRM1A118G] + 0.249 × [ABCB1C3435T]. Lung cancer surgeries patients' information were substituted into it. The results showed no significant differences between predicted and actual sufentanil dosage (P > 0.05). CONCLUSION We established the prediction equation for individual sufentanil dosage postoperatively based on gene polymorphisms. The results showed this prediction equation was valid, which might be used for different types of surgeries.