Building and Verifying a Prediction Model for Deep Vein Thrombosis Among Spinal Cord Injury Patients Undergoing Inpatient Rehabilitation
Prothrombin time, D-dimer level, age, and Caprini score are independent related factors for DVT among SCI patients undergoing inpatient rehabilitation. According to the variables mentioned previously, a nomogram model was constructed that can accurately and easily predict DVT risk among SCI patients undergoing inpatient rehabilitation. This facilitates the early identification of high-risk groups and the timely implementation of prevention, treatment, rehabilitation, and nursing strategies by clinical medical staff.
Authors
- Chengqian Huang (ORCID: https://orcid.org/0000-0001-6681-7548)
- Lina Ma (ORCID: https://orcid.org/0000-0001-7630-6960)
- Xia Chen (ORCID: https://orcid.org/0000-0002-1077-3133)
- Lixiang Zhang (ORCID: https://orcid.org/0000-0002-9139-1064)
- Cheng Wang (ORCID: https://orcid.org/0000-0001-6075-2878)
- Fangfang Zhao (ORCID: https://orcid.org/0000-0002-4982-4612)
- Liai Sun
Institutions
- University of Science and Technology of China (CN)
- Bengbu Medical College (CN)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1016/j.wneu.2024.11.034
- Citations
- 2
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.10