Pericapsular Nerve Group Block Did Not Reduce Postoperative Pain or Opioid Use After Total Hip Arthroplasty

Background: The pericapsular nerve group (PENG) block is a newly developed regional anesthesia technique designed to manage postoperative hip pain following a fracture or surgery while also maintaining quadriceps strength and mobility. The goal of our study was to compare postoperative pain scores and opioid usage during the postoperative period before discharge following total hip arthroplasty (THA) using the posterior approach between patients who received a PENG block and those who did not. Methods: We conducted a retrospective study on patients undergoing elective, posterior approach THA at a single tertiary-care academic center. The 2 groups included a study group (THA with PENG block in 2021; n = 66) and a control group (THA before PENG block implementation in 2019; n = 70). Results: There were no significant differences in pain scores during postoperative minutes 0 to 59 (study group 6.8; control group 6.6; P = .81) or during postoperative minutes 60 to 119 (study group 6.2; control group 5.6; P = .40). There were no significant differences in total postoperative in-hospital morphine milliequivalent opioid consumption (study group 55.8 morphine milligram equivalents; control group 75.0 morphine milligram equivalents; P = .14). The study group was found to have a shorter length of stay (study group 17.0 hours; control group 32.6 hours; P < .0001) and faster mobilization (study group 3.0 hours; control group 4.9 hours; P < .0001) than the control group. Conclusions: Our results show that use of the PENG block did not result in lower postoperative pain scores or opioid consumption after THA using the posterior surgical approach. The study group had a shorter length of stay and time to mobilization than the control group, though this was likely due to standard hospital procedure shifting to same-day discharge for THA between 2019 and 2021 due to COVID-19. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.