Comprehensive Review on Personalized Pain Assessment and Multimodal Interventions for Postoperative Recovery Optimization

作者：Jing Xu, Xiaona Liu, Jinyan Zhao, Jingjing Zhao, Hao Li, Haoxiang Ye, Shiyun Ai · 发表于：Journal of Pain Research · 年份：2025 · DOI：10.2147/jpr.s516249 · 被引用次数：21 · 研究领域：Anesthesia and Pain Management、Pain Management and Opioid Use、Pediatric Pain Management Techniques

Postoperative pain management is an important determinant of patient recovery, as it directly influences rehabilitation efficiency, hospitalization duration, and the risk of postoperative complications. Despite its significance, traditional pain management strategies often fail to adequately address individual variability and the multidimensional nature of pain, thereby limiting their effectiveness. To address these limitations, we designed this comprehensive narrative review to systematically summarize relevant literature published between 2000 and 2024, from databases such as PubMed and Web of Science, with a particular focus on personalized pain assessment and multimodal interventions to optimize postoperative recovery. Personalized pain assessment, guided by the biopsychosocial model, captures the biological, psychological, and social dimensions of pain, offering a more comprehensive and individualized evaluation of patient needs. In parallel, multimodal interventions, which integrate pharmacological and non-pharmacological strategies, are designed to target multiple pain mechanisms simultaneously, thereby enhancing analgesic efficacy while minimizing adverse effects. Emerging evidence indicates that combining personalized pain assessment with multimodal interventions can significantly improve clinical outcomes, as demonstrated by reductions in postoperative pain scores by approximately 20-30%, shorter hospital stays by 1-2 days, and decreased opioid consumption by 25-40%...