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Published in: Osteoporosis International 4/2024

07-12-2023 | Anemia | Original Article

A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression

Authors: Ying-feng Zhou, Jiao Wang, Xin-lin Wang, Shu-shu Song, Yue Bai, Jian-lin Li, Jing-yu Luo, Qi-qi Jin, Wei-cha Cai, Kai-ming Yuan, Jun Li

Published in: Osteoporosis International | Issue 4/2024

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Abstract

Summary

An independent correlation between pre-RDW and 1-year mortality after surgery in elderly hip fracture can be used to predict mortality in elderly hip fracture patients and has predictive significance in anemia patients. With further research, a treatment algorithm can be developed to potentially identify patients at high risk of preoperative mortality.

Introduction

Red blood cell distribution width (RDW) is an independent predictor of various disease states in elderly individuals, but its association with the prognosis of elderly hip fracture patients is controversial. This study aimed to evaluate the prognostic value of RDW in such patients, construct a prediction model containing RDW using random survival forest (RSF) and Cox regression analysis, and compare RDW in patients with and without anemia.

Methods

We retrospectively analyzed the data of elderly patients who underwent hip fracture surgery, selected the best variables using RSF, stratified the independent variables by Cox regression analysis, constructed a 1-year mortality prediction model of elderly hip fracture with RDW, and conducted internal validation and external validation.

Results

Two thousand one hundred six patients were included in this study. The RSF algorithm selects 12 important influencing factors, and Cox regression analysis showed that eight variables including preoperative RDW (pre-RDW) were independent risk factors for death within 1-year after hip fracture surgery in elderly patients. Stratified analysis showed that pre-RDW was still independently associated with 1-year mortality in the non-anemia group and not in the anemia group. The nomogram prediction model had high differentiation and fit, and the prediction model constructed by the total cohort of patients was also used for validation of patients in the anemia patients and obtained good clinical benefits.

Conclusion

An independent correlation between pre-RDW and 1-year mortality after surgery in elderly hip fracture can be used to predict mortality in elderly hip fracture patients and has predictive significance in anemia patients.
Appendix
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Metadata
Title
A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression
Authors
Ying-feng Zhou
Jiao Wang
Xin-lin Wang
Shu-shu Song
Yue Bai
Jian-lin Li
Jing-yu Luo
Qi-qi Jin
Wei-cha Cai
Kai-ming Yuan
Jun Li
Publication date
07-12-2023
Publisher
Springer London
Keyword
Anemia
Published in
Osteoporosis International / Issue 4/2024
Print ISSN: 0937-941X
Electronic ISSN: 1433-2965
DOI
https://doi.org/10.1007/s00198-023-06988-0

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