Nomogram for predicting postoperative deep vein thrombosis in patients with spinal fractures caused by high-energy injuries.
Arch Orthop Trauma Surg
; 144(1): 171-177, 2024 Jan.
Article
en En
| MEDLINE
| ID: mdl-37792059
ABSTRACT
OBJECTIVE:
Deep venous thrombosis (DVT) is a common complication in patients with spinal fractures caused by high-energy injuries. Early identification of patients at high risk of postoperative DVT is essential for the prevention of thrombosis. This study aimed to develop and validate a prediction model based on a nomogram to predict DVT in patients with spinal fractures caused by high-energy injuries.METHODS:
Clinical data were collected from 936 patients admitted to our hospital between January 2016 and December 2021 with spinal fractures caused by high-energy injuries. Multivariate logistic regression analysis was used to identify the risk factors for postoperative DVT and to develop a nomogram. The predictive performance of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve.RESULTS:
The incidence of preoperative DVT was 15.38% (144/936). The postoperative incidence of DVT was 20.5% (192/936). The multivariate analysis revealed that age, operation time, blood transfusion, duration of bed rest, American Spinal Injury Association (ASIA) score and D-dimer were risk factors for postoperative DVT. The area under the ROC curve of the nomogram was 0.835 and the calibration curve showed good calibration.CONCLUSIONS:
The nomogram showed a good ability to predict postoperative DVT in patients with spinal fractures caused by high-energy injuries, which may benefit pre- and postoperative DVT prophylaxis strategy development.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Fracturas de la Columna Vertebral
/
Trombosis de la Vena
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Arch Orthop Trauma Surg
Año:
2024
Tipo del documento:
Article