Comparative Study on Recovery and Post-Operative Analgesic Efficacy from Fentanyl- Versus Dexmedetomidine-Based Anesthesia in Head and Neck Cancer Surgery
Year: 2024
Type: article
Study designs: Randomized Controlled Trial, Clinical Trial
Abstract: A BSTRACT Background: Effective post-operative analgesia and swift recovery are critical for patients undergoing head and neck cancer surgery. This study compares the recovery profiles and analgesic efficacy of fentanyl-based anesthesia versus dexmedetomidine-based anesthesia in this patient population. Materials and Methods: A randomized controlled trial was conducted with 120 patients undergoing head and neck cancer surgery. The patients were divided into two groups: Group F (n = 60) received fentanyl-based anesthesia, while Group D (n = 60) received dexmedetomidine-based anesthesia. Recovery profiles were assessed using the Modified Aldrete Score, and post-operative pain was evaluated using the Visual Analog Scale (VAS) at 1, 6, 12, and 24 hours post-surgery. Secondary outcomes included total opioid consumption and the incidence of adverse effects. Results: Group D demonstrated a significantly faster recovery time, with 85% achieving a Modified Aldrete Score of ≥9 within 30 minutes post-surgery compared to 65% in Group F ( P < 0.05). Post-operative VAS scores were significantly lower in Group D at all time points ( P < 0.01), with mean scores of 2.5 ± 1.2 at 1 hour, 2.0 ± 1.0 at 6 hours, 1.5 ± 0.8 at 12 hours, and 1.0 ± 0.5 at 24 hours. Group F had mean scores of 4.0 ± 1.5, 3.5 ± 1.3, 3.0 ± 1.1, and 2.5 ± 0.9, respectively. Total opioid consumption was also lower in Group D (50 mg morphine equivalents) compared to Group F (75 mg morphine equivalents) ( P < 0.05). Adverse effects were comparable between the groups. Conclusion: Dexmedetomidine-based anesthesia provides superior post-operative analgesia and faster recovery compared to fentanyl-based anesthesia in head and neck cancer surgery. It may be a preferred option for optimizing patient outcomes in this surgical population.
Language: English
Subfield: Anesthesiology and Pain Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $250
OpenAlex ID: W4405092131
