Prediction of subsequent vertebral compression fractures after thoracolumbar kyphoplasty: a multicenter retrospective analysis

Author:

Yu Weibo1,Zhang Haiyan1,Yao Zhensong2,Zhong Yuanming3,Jiang Xiaobing4ORCID,Cai Daozhang1ORCID

Affiliation:

1. Department of Orthopaedics, The Third Affiliated Hospital of Southern Medical University , Guangzhou, Guangdong, People’s Republic of China

2. Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine , Guangzhou, Guangdong, People’s Republic of China

3. Department of Orthopaedics, The First Affiliated Hospital of Guangxi University of Chinese Medicine , Nanning, Guangxi, People’s Republic of China

4. Department of Spinal Surgery, The First Affiliated Hospital of Guangzhou University of Chinese Medicine , Guangzhou, Guangdong, People’s Republic of China

Abstract

Abstract Objective Second fractures at the cemented vertebrae (SFCV) are often seen after percutaneous kyphoplasty, especially at the thoracolumbar junction. Our study aimed to develop and validate a preoperative clinical prediction model for predicting SFCV. Methods A cohort of 224 patients with single-level thoracolumbar osteoporotic vertebral fractures (T11–L2) from 3 medical centers was analyzed between January 2017 and June 2020 to derive a preoperative clinical prediction model for SFCV. Backward-stepwise selection was used to select preoperative predictors. We assigned a score to each selected variable and developed the SFCV scoring system. Internal validation and calibration were conducted for the SFCV score. Results Among the 224 patients included, 58 had postoperative SFCV (25.9%). The following preoperative measures on multivariable analysis were summarized in the 5-point SFCV score: bone mineral density (≤–3.05), serum 25-hydroxy vitamin D3 (≤17.55 ng/mL), standardized signal intensity of fractured vertebra on T1-weighted images (≤59.52%), C7–S1 sagittal vertical axis (≥3.25 cm), and intravertebral cleft. Internal validation showed a corrected area under the curve of 0.794. A cutoff of ≤1 point was chosen to classify a low risk of SFCV, for which only 6 of 100 patients (6%) had SFCV. A cutoff of ≥4 points was chosen to classify a high risk of SFCV, for which 28 of 41 (68.3%) had SFCV. Conclusion The SFCV score was found to be a simple preoperative method for identification of patients at low and high risk of postoperative SFCV. This model could be applied to individual patients and aid in the decision-making before percutaneous kyphoplasty.

Funder

Guangxi Natural Science Foundation Program, China

Doctoral Scientific Research Start-up Funding of Guangxi University of Traditional Chinese Medicine

Publisher

Oxford University Press (OUP)

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),General Medicine

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