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Published in: European Spine Journal 11/2023

03-07-2023 | Refracture | Original Article

A nomogram prediction model for refracture in elderly patients with osteoporotic vertebral compression fractures after percutaneous vertebroplasty

Authors: Gang Ju, Xiaoqing Liu

Published in: European Spine Journal | Issue 11/2023

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Abstract

Background

This study aims to evaluate the risk factors of refracture in elderly patients with osteoporotic vertebral compression fracture (OVCF) patients after percutaneous vertebroplasty (PVP) and construct a predictive nomogram model.

Methods

Elderly symptomatic OVCF patients undergoing PVP were enrolled and grouped based on the development of refracture within 1 year postoperatively. Univariate and multivariate logistic regression analyses were performed to identify risk factors. Subsequently, a nomogram prediction model was constructed and evaluated based on these risk factors.

Results

A total of 264 elderly OVCF patients were enrolled in the final cohort. Among these, 48 (18.2%) patients had suffered refracture within 1 year after surgery. Older age, lower mean spinal BMD, multiple vertebral fracture, lower albumin/fibrinogen ratio (AFR), no postoperative regular anti-osteoporosis, and exercise were six independent risk factors identified for postoperative refracture. The AUC of the constructed nomogram model based on these six factors was 0.812 with a specificity and sensitivity of 0.787 and 0.750, respectively.

Conclusions

In summary, the nomogram model based on the six risk factors had clinical efficacy for refracture prediction.
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Metadata
Title
A nomogram prediction model for refracture in elderly patients with osteoporotic vertebral compression fractures after percutaneous vertebroplasty
Authors
Gang Ju
Xiaoqing Liu
Publication date
03-07-2023
Publisher
Springer Berlin Heidelberg
Published in
European Spine Journal / Issue 11/2023
Print ISSN: 0940-6719
Electronic ISSN: 1432-0932
DOI
https://doi.org/10.1007/s00586-023-07843-w

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