BACKGROUND:Effective analgesic therapy in the postoperative period of total knee arthroplasty is essential for good surgical outcomes. The current trend is to use multimodal treatment, in which the use of patches with lidocaine as adjuvant therapy has an increasingly relevant role. OBJECTIVE: To investigate the potential benefits of lidocaine patch association with the basic analgesia regimen for pain relief during the postoperative period of total knee arthroplasty. METHOD: A retrospective cohort study was performed , with a total of 24 patients in each group, who underwent total knee arthroplasty. Pain levels using a visual analogue scale and opioid intake were controlled from the immediate postoperative to the end of a 28-day interval. RESULTS: During the postoperative period, pain was less intense in patients who used lidocaine patches. In these same patients, the doses of opioids needed to control pain were lower in 15 of the 28 days analyzed. The relative frequency of nausea was higher in the group that did not use adjuvant therapy. Patients older than 70 years and females predominated. CONCLUSION: Adjuvant treatment after total knee arthroplasty using lidocaine patches was effective in reducing pain and decreasing the use of opioids in the period analyzed, and represents a good addition to multimodal analgesic therapy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.