Bayesian analysis model for the use of anesthetic analgesic drugs in cancer patients based on geometry reconstruction

Abstract

The use of anesthetic analgesic drugs in patients with cancer pain is analyzed comprehensively, which provides the necessary reference for rational use of drugs in clinic. Method: 102 patients with cancer pain are selected from a municipal people’s hospital from 2014 to 2016 in China. Based on the Bayesian algorithm of geometric reconstruction, the variety, dosage, prescription number, specification and frequency of anesthetic analgesic drugs used by patients are analyzed comprehensively. Results: the anesthetic analgesic drugs used by 102 patients with cancer pain mainly include Morphine Hydrochloride Injection, Tramadol Injection, Dezocine Injection, Morphine Hydrochloride Sustained-release Tablets, Tramadol Hydrochloride Sustained-release Tablets, Oxycodone Hydrochloride Sustained-release Tablets and Fentanyl Transparent Dressing. Among them, the dosage of Morphine Hydrochloride Sustained-release Tablets is the highest, followed by Tramadol Hydrochloride Sustained-release Tablets, Oxycodone Hydrochloride Sustained-release Tablets, Fentanyl Transparent Dressing, Morphine Hydrochloride Injection, Tramadol Injection and Dezocine Injection. The drug use frequency of Fentanyl Transparent Dressing is the highest and the lowest is Dezocine Injection. The drug utilization index of Oxycodone Hydrochloride Sustained-release Tablets is the lowest, and that of Morphine Hydrochloride Sustained-release Tablets is the highest. Conclusion: The use principle of anesthetic analgesic drugs for cancer patient with pain basically conforms to the three-step analgesic principle of cancer pain, and the dosages and specifications of anesthetic drugs are basically reasonable, but need to be further standardized and rationalized.