Prediction of postoperative pain: are we missing the target?
- PMID: 37314728
- DOI: 10.1111/anae.16063
Prediction of postoperative pain: are we missing the target?
Comment on
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Predicting severe pain after major surgery: a secondary analysis of the Peri-operative Quality Improvement Programme (PQIP) dataset.Anaesthesia. 2023 Jul;78(7):840-852. doi: 10.1111/anae.15984. Epub 2023 Mar 2. Anaesthesia. 2023. PMID: 36862937
References
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- Armstrong RA, Fayaz A, Manning GLP, Moonesinghe SR, Oliver CM. Predicting severe pain after major surgery: a secondary analysis of the Peri-operative Quality Improvement Programme (PQIP) dataset. Anaesthesia 2023; 78: 840-52.
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- Paredes AC, Pinto JM, Almeida A, Pinto PR. Predictive value of quantitative sensory testing for acute and chronic postsurgical pain after total joint arthroplasty: a systematic review. Pain 2022; 163: e385-400.
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- Fragiadakis GK, Gaudilliere B, Ganio EA, et al. Patient-specific immune states before surgery are strong correlates of surgical recovery. Anesthesiology 2015; 123: 1241-55.
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- Joshi GP, Van de Velde M, Kehlet H. Development of evidence-based recommendations for procedure-specific pain management: PROSPECT methodology. Anaesthesia 2019; 74: 1298-304.
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