New Predictive Model and Predictors for Perioperative Deep Vein Thrombosis Formation in Fractures of the Lower Extremity Versus Traditional Scoring.

ABSTRACT: ObjectiveThe aim of this study was to construct a novel nomogram prediction model and to investigate the value of the new predictors in predicting perioperative deep vein thrombosis formation in lower limb traumatic closed fracture (LTCF).MethodsIn this study, we reviewed data from 1,608 patients with LTCF, developed a new predictive model through analysis, and used Lasso regression to screen for the final reliable variables. Modeling was followed by using the ROC curve analysis, calculation of area under the ROC curve and Validation function. Calibration curves, decision curve analysis and clinical impact curves were used to comprehensively assess the performance of the model, and used to construct new predictors, inflammatory immune factors and traditional scores by using ROC analysis mo

SUBMITTER: Zeng X 

PROVIDER: S-EPMC12932894 | biostudies-literature | 2026 Jan-Dec

REPOSITORIES: biostudies-literature