Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Hip fractures are catastrophic events with a significant risk of mortality, making early identification of high-risk patients crucial. While previous studies have primarily focused on post-surgical mortality in hip fracture patients, less attention has been given to those who did not undergo surgery. This study aimed to develop a nomogram to predict 1-year mortality in older adults following hip fractures. Methods: Patients hospitalized with hip fractures at a university hospital between May 2016 and December 2021 were included. Participants were randomly divided into training and validation cohorts (70:30 ratio). After selecting key variables, the nomogram was constructed, and its performance was evaluated in both cohorts. Results: A total of 619 patients were included, with 136 (21.97%) experiencing mortality within one year. LASSO regression was used to account for multicollinearity, selecting variables such as age, coronary heart disease, surgery, hemoglobin, aspartate transaminase, and blood urea nitrogen. The nomogram achieved AUCs of 0.83 (95% CI: 0.78-0.88) and 0.81 (95% CI: 0.73-0.89) in the training and validation cohorts, respectively, demonstrating excellent calibration and clinical utility. Conclusion: The nomogram effectively predict 1-year mortality risk in older adults following hip fractures.
Source: Frontiers in Medicine
Authors: Jiale Guo, Liuyang Shi, Kehai Shi, Ru Dai, Jian Wang, Yehai Li
Language: English
Topic: Hip and Femur Fractures
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Funder: Anhui Medical University
OpenAlex ID: W4410904310