MINI REVIEW article
Front. Anesthesiol.
Sec. Critical Care Anesthesiology
Volume 4 - 2025 | doi: 10.3389/fanes.2025.1694905
Regional Anesthesia for Pain Management in Critically Ill Patients with Thoracoabdominal Conditions in the ICU
Provisionally accepted- 1Zhejiang Chinese Medical University, Hangzhou, China
- 2First Hospital of Jiaxing, Jiaxing, China
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This article aims to review the latest advancements in the application of regional anesthesia for perioperative pain management in critically ill patients with thoracic and abdominal conditions within the Intensive Care Unit (Intensive Care Unit,ICU) setting, with a focus on its indications, advantages, and clinical applications. Regional anesthesia and analgesia techniques are widely used in the perioperative period, offering broad indications and significant clinical benefits. As a key component of multimodal analgesia, various regional blockade techniques are increasingly being applied to critically ill patients. Combining regional anesthesia with other analgesic modalities can alleviate perioperative acute pain, reduce stress responses, decrease opioid consumption and related adverse effects, thereby promoting recovery and improving clinical outcomes. However, research on its use in the ICU remains limited. This review focuses on regional anesthesia techniques for critically ill patients after major thoracic and abdominal surgeries, including neuraxial blocks and emerging trunk blockade methods, and describes the challenges associated with performing regional blocks in this patient population.
Keywords: regional anesthesia, ICU Pain, ICU Pain Management, PerioperativeAcute Pain, critically ill patients
Received: 29 Aug 2025; Accepted: 13 Oct 2025.
Copyright: © 2025 Li and Lu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jing Li, 13205663392@163.com
Yaping Lu, a1349229836@163.com
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