Ultrasound-guided subcostal transversus abdominis plane infiltration with liposomal bupivacaine for patients undergoing robotic-assisted hysterectomy

Jacob Hutchins, Rachel Isaksson Vogel, Rahel Ghebre, Amy Mcnally, Levi S. Downs, Elizabeth Gryzmala, Melissa A. Geller

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Objective We sought to determine the effect of a subcostal transversus abdominis plane (TAP) block with liposomal bupivacaine on postoperative maximal pain score and length of hospital stay among women undergoing robotic-assisted hysterectomy. Methods This was a retrospective study comparing patients before and after consistent implementation of TAP blocks with liposomal bupivacaine during robotic-assisted hysterectomies at a single academic institution. Analysis compared patient demographic and operative characteristics by TAP block use, along with outcomes of interest, including postoperative pain and length of hospital stay. Results There was a statistically significant decrease in maximal numerical rating scale pain scores, presence of nausea and vomiting, and length of hospital stay in those who had a TAP block with liposomal bupivacaine compared with those who did not receive a TAP block. These differences remained even after adjustment for potential confounders. Conclusions In this retrospective study, liposomal bupivacaine used in a TAP block was a useful method to provide postoperative pain control in patients undergoing robotic-assisted hysterectomy and was associated with lower postoperative maximal pain scores and length of hospital stay.

Original languageEnglish (US)
Pages (from-to)937-941
Number of pages5
JournalInternational Journal of Gynecological Cancer
Volume25
Issue number5
DOIs
StatePublished - Jun 4 2015

Keywords

  • Anesthesia
  • Postoperative pain
  • Robotic hysterectomy
  • TAP block

Fingerprint Dive into the research topics of 'Ultrasound-guided subcostal transversus abdominis plane infiltration with liposomal bupivacaine for patients undergoing robotic-assisted hysterectomy'. Together they form a unique fingerprint.

Cite this