Title |
Optimizing pain management to facilitate Enhanced Recovery After Surgery pathways
|
---|---|
Published in |
Canadian Journal of Anesthesia/Journal canadien d'anesthésie, December 2014
|
DOI | 10.1007/s12630-014-0275-x |
Pubmed ID | |
Authors |
Mingjuan Tan, Lawrence Siu-Chun Law, Tong Joo Gan |
Abstract |
The optimal management of postoperative pain using multimodal analgesia is a key component of Enhanced Recovery After Surgery (ERAS). Pain has adverse clinical implications on postoperative recovery, including prolonging the time to recovery milestones and length of hospital stay. Moreover, the ubiquity of opioids in postoperative analgesic regimens results in adverse effects, such as sedation, postoperative nausea and vomiting, urinary retention, ileus, and respiratory depression, which can delay discharge. Thus, multimodal analgesia, i.e., the use of more than one analgesic modality to achieve effective pain control while reducing opioid-related side effects, has become the cornerstone of enhanced recovery. The purpose of this review is to address the analgesic techniques used as part of multimodal analgesic regimens to optimize postoperative pain control and to summarize the evidence for their use in reducing opioid requirements and side effects. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
Canada | 2 | 29% |
Spain | 1 | 14% |
Sweden | 1 | 14% |
Paraguay | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 3 | 43% |
Scientists | 2 | 29% |
Members of the public | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 2 | <1% |
Turkey | 1 | <1% |
United States | 1 | <1% |
France | 1 | <1% |
Unknown | 359 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 53 | 15% |
Student > Bachelor | 37 | 10% |
Researcher | 31 | 9% |
Other | 28 | 8% |
Student > Postgraduate | 27 | 7% |
Other | 83 | 23% |
Unknown | 105 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 159 | 44% |
Nursing and Health Professions | 35 | 10% |
Psychology | 8 | 2% |
Biochemistry, Genetics and Molecular Biology | 7 | 2% |
Social Sciences | 6 | 2% |
Other | 38 | 10% |
Unknown | 111 | 30% |