Lin XM, Shi ZC. Development and validation of a predictive model for spinal fracture risk in osteoporosis patients. World J Clin Cases 2023; 11(20): 4824-4832 [PMID: 37583999 DOI: 10.12998/wjcc.v11.i20.4824]
Corresponding Author of This Article
Zhi-Cai Shi, MD, Attending Doctor, Department of Orthopedics, Changhai Hospital, No. 168 Changhai Road, Shanghai 200433, China. szhicai@126.com
Research Domain of This Article
Medicine, General & Internal
Article-Type of This Article
Retrospective Cohort Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Jul 16, 2023; 11(20): 4824-4832 Published online Jul 16, 2023. doi: 10.12998/wjcc.v11.i20.4824
Development and validation of a predictive model for spinal fracture risk in osteoporosis patients
Xu-Miao Lin, Zhi-Cai Shi
Xu-Miao Lin, Zhi-Cai Shi, Department of Orthopedics, Changhai Hospital, Shanghai 200433, China
Author contributions: Lin XM proposed the concept of this study; Shi ZC has made contributions to data collection; Shi ZC made contributions to formal analysis; Lin XM and Shi ZC participated in the investigation; Lin XM and Shi ZC contributed to these methods; Shi ZC guided research; Lin XM validated this study; Lin XM contributed to the visualization of this study; Lin XM and Shi ZC reviewed and edited the manuscript.
Institutional review board statement: This study has been approved by the Ethics Committee of the First Affiliated Hospital of the Naval Medical University.
Informed consent statement: Informed consent was unnecessary due to the anonymizing of patient records and the study’s retrospective nature.
Conflict-of-interest statement: The authors declare no conflicts of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Zhi-Cai Shi, MD, Attending Doctor, Department of Orthopedics, Changhai Hospital, No. 168 Changhai Road, Shanghai 200433, China. szhicai@126.com
Received: June 6, 2023 Peer-review started: June 6, 2023 First decision: June 15, 2023 Revised: June 16, 2023 Accepted: June 19, 2023 Article in press: June 19, 2023 Published online: July 16, 2023 Processing time: 35 Days and 21 Hours
Core Tip
Core Tip: A fracture risk-prediction model was created and validated using the medical records of 80 patients with spinal osteoporosis. The model utilized accessible clinical, biochemical, and radiological information to accurately evaluate the patient's fracture risk. Factors significantly associated with fracture risk included age, sex, body mass index, smoking history, bone mineral density, vertebral trabecular alterations, and prior vertebral fractures. The final model had strong discriminatory capabilities, as evidenced by an area under the receiver operating characteristic curve of 0.93. This model has potential in identifying high-risk individuals for early intervention and guiding appropriate preventive actions to reduce the impact of osteoporosis-related fractures.
