Pre-emptive multimodal analgesic bundle with transversus abdominis plane block enhances early recovery after laparoscopic cholecystectomy.


Journal

Asian journal of surgery
ISSN: 0219-3108
Titre abrégé: Asian J Surg
Pays: Netherlands
ID NLM: 8900600

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 22 11 2020
revised: 09 01 2021
accepted: 12 05 2021
pubmed: 29 5 2021
medline: 6 1 2022
entrez: 28 5 2021
Statut: ppublish

Résumé

As postoperative pain after laparoscopic cholecystectomy may delay recovery and discharge, a multimodal and pre-emptive analgesic approach is necessary. This study demonstrated that a multimodal analgesic bundle improves postoperative recovery, using the Quality of Recovery-40K (QoR-40K) questionnaire during the first 24 h after laparoscopic cholecystectomy. In this prospective non-randomized study with two parallel groups, 80 patients undergoing laparoscopic cholecystectomy were allocated into either the multimodal analgesia group or the conventional analgesia group. The multimodal analgesia group received a pre-emptive analgesic bundle (preoperative intravenous administration of paracetamol, ketorolac, and dexamethasone, and a posterior approach to the transversus abdominis plane block), while the conventional analgesia group did not. The primary outcome was the QoR-40K score during the first 24 h after surgery. Secondary outcomes were the peak visual analog scale pain score at rest and the incidence rates of rescue analgesic use and nausea/vomiting during the first 24 h after surgery. The QoR-40K score was higher in the multimodal analgesia group than in the conventional analgesia group (196 [190-199] vs. 182 [172-187], p < 0.001). The peak visual analog scale pain score was significantly lower in the multimodal analgesia group than in the conventional analgesia group. Multimodal analgesia also reduced the incidence rates of rescue analgesic use and postoperative nausea/vomiting (22.5% [95% CI, 9.6-35.4%] vs. 55.0% [39.6-70.4%], p = 0.003), compared to conventional analgesia. Multimodal analgesia significantly improves the quality of early postoperative recovery after laparoscopic cholecystectomy, as shown by the QoR-40K score.

Sections du résumé

BACKGROUND BACKGROUND
As postoperative pain after laparoscopic cholecystectomy may delay recovery and discharge, a multimodal and pre-emptive analgesic approach is necessary. This study demonstrated that a multimodal analgesic bundle improves postoperative recovery, using the Quality of Recovery-40K (QoR-40K) questionnaire during the first 24 h after laparoscopic cholecystectomy.
METHODS METHODS
In this prospective non-randomized study with two parallel groups, 80 patients undergoing laparoscopic cholecystectomy were allocated into either the multimodal analgesia group or the conventional analgesia group. The multimodal analgesia group received a pre-emptive analgesic bundle (preoperative intravenous administration of paracetamol, ketorolac, and dexamethasone, and a posterior approach to the transversus abdominis plane block), while the conventional analgesia group did not. The primary outcome was the QoR-40K score during the first 24 h after surgery. Secondary outcomes were the peak visual analog scale pain score at rest and the incidence rates of rescue analgesic use and nausea/vomiting during the first 24 h after surgery.
RESULTS RESULTS
The QoR-40K score was higher in the multimodal analgesia group than in the conventional analgesia group (196 [190-199] vs. 182 [172-187], p < 0.001). The peak visual analog scale pain score was significantly lower in the multimodal analgesia group than in the conventional analgesia group. Multimodal analgesia also reduced the incidence rates of rescue analgesic use and postoperative nausea/vomiting (22.5% [95% CI, 9.6-35.4%] vs. 55.0% [39.6-70.4%], p = 0.003), compared to conventional analgesia.
CONCLUSIONS CONCLUSIONS
Multimodal analgesia significantly improves the quality of early postoperative recovery after laparoscopic cholecystectomy, as shown by the QoR-40K score.

Identifiants

pubmed: 34045132
pii: S1015-9584(21)00274-8
doi: 10.1016/j.asjsur.2021.05.010
pii:
doi:

Substances chimiques

Analgesics 0
Analgesics, Opioid 0

Types de publication

Clinical Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

250-256

Informations de copyright

Copyright © 2021. Published by Elsevier Taiwan LLC.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no competing interests.

Auteurs

Jung-Woo Shim (JW)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Jemin Ko (J)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Jung Hoon Bae (JH)

Department of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Jaesik Park (J)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Hyung Mook Lee (HM)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Yong-Suk Kim (YS)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Young Eun Moon (YE)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Sang Hyun Hong (SH)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Min Suk Chae (MS)

Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. Electronic address: shscms@catholic.ac.kr.

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Classifications MeSH