Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database
According to the best-performing gradient boosting model, older age, longer hospital stay, high in-hospital opioid consumption, and preoperative opioid use were the most important risk factors for PCOU.
Authors
- Jin-Hee Sung
- Kyu Nam Kim (ORCID: https://orcid.org/0000-0003-2526-8348)
- Hyung‐Chul Lee (ORCID: https://orcid.org/0000-0003-0048-7958)
- Jonghae Kim (ORCID: https://orcid.org/0000-0003-1222-0054)
- Hyun‐Kyu Yoon (ORCID: https://orcid.org/0000-0001-5424-3559)
- Tagkeun Lee
- Hyun-Lim Yang (ORCID: https://orcid.org/0000-0003-2221-3042)
- Eugene Kim (ORCID: https://orcid.org/0000-0002-1926-4191)
- Ji-Yoon Kim (ORCID: https://orcid.org/0000-0001-7676-0346)
- Yun Jin Kim (ORCID: https://orcid.org/0000-0003-3202-2696)
Institutions
- Seoul National University (KR)
- Seoul National University Hospital (KR)
- Daegu Catholic University Medical Center (KR)
- Hanyang University Medical Center (KR)
- Biostatistical Consulting (United States) (US)
- Hanyang University (KR)
Publication Details
- Journal
- Korean journal of anesthesiology
- Published
- 2025-08-28
- DOI
- https://doi.org/10.4097/kja.24831
- Citations
- 1
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea