Predictive Scores for Identifying Chronic Opioid Dependence After General Anesthesia Surgery
This study provides a comprehensive understanding of postoperative chronic opioid dependence and introduces an effective predictive scoring system. The identified risk factors and risk stratification allow for early detection and targeted interventions, aligning with the broader initiative to enhance patient outcomes, minimize societal burdens, and contribute to the nuanced management of postoperative pain.
Authors
- Szu‐Yuan Wu (ORCID: https://orcid.org/0000-0001-5637-558X)
- Ningning Fu
- Mengrong Miao (ORCID: https://orcid.org/0000-0002-6956-8599)
- Shuang Lv
- Zhongyuan Lu (ORCID: https://orcid.org/0000-0002-0897-7006)
- Wan‐Ming Chen (ORCID: https://orcid.org/0009-0009-6628-0635)
- Yi Yang (ORCID: https://orcid.org/0000-0002-9400-1850)
- Yangyang Wang (ORCID: https://orcid.org/0000-0002-5870-3409)
- Jiaqiang Zhang (ORCID: https://orcid.org/0000-0002-1367-9644)
- Mingyang Sun (ORCID: https://orcid.org/0000-0003-1136-3766)
Institutions
- Fu Jen Catholic University (TW)
- Asia University (TW)
- Luodong Poh-Ai Hospital (TW)
- Zhengzhou University (CN)
- Ministry of Health and Welfare (TW)
- Henan Provincial People's Hospital (CN)
- Wan Fang Hospital (TW)
- Taipei Medical University (TW)
- Fo Guang University (TW)
Publication Details
- Journal
- Journal of Pain Research
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/jpr.s471040
- Primary Topic
- Anesthesia and Pain Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00