Nomogram based on high-density lipoprotein cholesterol for the occurrence of preoperative deep vein thrombosis in patients with intertrochanteric femur fracture: a retrospective study
Wencai Li1,3†, He Ling1†, Rongbin Lu1†, Zhao Huang1 and Wei Su1,2*
Abstract
Background This study aims to develop a nomogram and forecast the incidence of DVT in individuals suffering
from an intertrochanteric femur fracture.
Method This work created a nomogram using the R programming language and employed logistic regression to determine independent predicting features. An external validation dataset was used to validate the nomogram.
Result The findings demonstrated the independence of LYM (0.02[0.01–0.09], p < 0.001),="" alb="" (0.83[0.74,="" 0.94],="" />p=0.002), and HDL-C (0.18[0.04, 0.71], p=0.014). Good prediction performance with modest errors was shown by the nomogram in both the training and validation groups.
Conclusion In conclusion, the nomogram that was created using HDL-C, ALB, and LYM can assist medical professionals in determining the likelihood that DVT will occur.
Keywords Intertrochanteric femur fracture, Deep vein thrombosis, High-density lipoprotein cholesterol, Albumin, Lymphocytes, Nomogram
NON-2024-1480