Utilizing a nomogram to predict the one-year postoperative mortality risk for geriatric patients with a hip fracture.

ABSTRACT: Despite the abundance of research on the risk factors for mortality following hip fracture surgery, there has been a dearth of studies on prediction models in this population. The objective of this research was to explore the influencing factors and construct a clinical nomogram to predict one-year postoperative mortality in patients with hip fracture surgeries. Using the Ditmanson Research Database (DRD), we included 2333 subjects, aged ≥ 50 years who underwent hip fracture surgery between October, 2008 and August, 2021. The endpoint was all-cause mortality. A least absolute shrinkage and selection operator (LASSO) derived Cox regression was performed to select the independent predictors of one-year postoperative mortality. A nomogram was built for predicting one-year postoperative mortal

SUBMITTER: Wu CY 

PROVIDER: S-EPMC10329653 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature