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Editorial Comment
Towards better predictive models of chronic post-surgical pain: fitting to the dynamic nature of the pain itself.
- Dominique Fletcher and Patricia Lavand'homme.
- Anaesthesia and Intensive Care Department, Ambroise Paré Hospital, APHP; Paris-Saclay University, UVSQ, Inserm, LPPD, Boulogne Billancourt, France. Electronic address: dominique.fletcher@aphp.fr.
- Br J Anaesth. 2022 Sep 1; 129 (3): 281-284.
AbstractChronic post-surgical pain predictive scores exist, but none has yet demonstrated an impact on patient care. Van Driel and colleagues offer an additional perspective on early postoperative detection of patient at risk of chronic post-surgical pain to enable early interventions in prevention and treatment. The authors derived and validated a model based on four easily obtainable predictors that could help clinicians assess and treat patients at risk. Additional work is needed to prove reliability and clinical benefit of chronic post-surgical pain prediction and intervention.Copyright © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.
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