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Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty

BACKGROUND: Vertebroplasty is the main minimally invasive operation for osteoporotic vertebral compression fracture (OVCF), which has the advantages of rapid pain relief and shorter recovery time. However, new adjacent vertebral compression fracture (AVCF) occurs frequently after vertebroplasty. The...

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Autores principales: Qian, Yadong, Hu, Xiao, Li, Chen, Zhao, Jingwei, Zhu, Yanjing, Yu, Yan, Xie, Ning, Ma, Bin, Zeng, Zhili, Cheng, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334643/
https://www.ncbi.nlm.nih.gov/pubmed/37430232
http://dx.doi.org/10.1186/s12893-023-02068-6
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author Qian, Yadong
Hu, Xiao
Li, Chen
Zhao, Jingwei
Zhu, Yanjing
Yu, Yan
Xie, Ning
Ma, Bin
Zeng, Zhili
Cheng, Liming
author_facet Qian, Yadong
Hu, Xiao
Li, Chen
Zhao, Jingwei
Zhu, Yanjing
Yu, Yan
Xie, Ning
Ma, Bin
Zeng, Zhili
Cheng, Liming
author_sort Qian, Yadong
collection PubMed
description BACKGROUND: Vertebroplasty is the main minimally invasive operation for osteoporotic vertebral compression fracture (OVCF), which has the advantages of rapid pain relief and shorter recovery time. However, new adjacent vertebral compression fracture (AVCF) occurs frequently after vertebroplasty. The purpose of this study was to investigate the risk factors of AVCF and establish a clinical prediction model. METHODS: We retrospectively collected the clinical data of patients who underwent vertebroplasty in our hospital from June 2018 to December 2019. The patients were divided into a non-refracture group (289 cases) and a refracture group (43 cases) according to the occurrence of AVCF. The independent predictive factors for postoperative new AVCF were determined by univariate analysis, least absolute shrinkage and selection operator (LASSO) logistic regression, and multivariable logistic regression analysis. A nomogram clinical prediction model was established based on relevant risk factors, and the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA) were used to evaluate the prediction effect and clinical value of the model. After internal validation, patients who underwent vertebroplasty in our hospital from January 2020 to December 2020, including a non-refracture group (156 cases) and a refracture group (21 cases), were included as the validation cohort to evaluate the prediction model again. RESULTS: Three independent risk factors of low bone mass density (BMD), leakage of bone cement and “O” shaped distribution of bone cement were screened out by LASSO regression and logistic regression analysis. The area under the curve (AUC) of the model in the training cohort and the validation cohort was 0.848 (95%CI: 0.786–0.909) and 0.867 (95%CI: 0.796–0.939), respectively, showing good predictive ability. The calibration curves showed the correlation between prediction and actual status. The DCA showed that the prediction model was clinically useful within the whole threshold range. CONCLUSION: Low BMD, leakage of bone cement and “O” shaped distribution of bone cement are independent risk factors for AVCF after vertebroplasty. The nomogram prediction model has good predictive ability and clinical benefit.
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spelling pubmed-103346432023-07-12 Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty Qian, Yadong Hu, Xiao Li, Chen Zhao, Jingwei Zhu, Yanjing Yu, Yan Xie, Ning Ma, Bin Zeng, Zhili Cheng, Liming BMC Surg Research BACKGROUND: Vertebroplasty is the main minimally invasive operation for osteoporotic vertebral compression fracture (OVCF), which has the advantages of rapid pain relief and shorter recovery time. However, new adjacent vertebral compression fracture (AVCF) occurs frequently after vertebroplasty. The purpose of this study was to investigate the risk factors of AVCF and establish a clinical prediction model. METHODS: We retrospectively collected the clinical data of patients who underwent vertebroplasty in our hospital from June 2018 to December 2019. The patients were divided into a non-refracture group (289 cases) and a refracture group (43 cases) according to the occurrence of AVCF. The independent predictive factors for postoperative new AVCF were determined by univariate analysis, least absolute shrinkage and selection operator (LASSO) logistic regression, and multivariable logistic regression analysis. A nomogram clinical prediction model was established based on relevant risk factors, and the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA) were used to evaluate the prediction effect and clinical value of the model. After internal validation, patients who underwent vertebroplasty in our hospital from January 2020 to December 2020, including a non-refracture group (156 cases) and a refracture group (21 cases), were included as the validation cohort to evaluate the prediction model again. RESULTS: Three independent risk factors of low bone mass density (BMD), leakage of bone cement and “O” shaped distribution of bone cement were screened out by LASSO regression and logistic regression analysis. The area under the curve (AUC) of the model in the training cohort and the validation cohort was 0.848 (95%CI: 0.786–0.909) and 0.867 (95%CI: 0.796–0.939), respectively, showing good predictive ability. The calibration curves showed the correlation between prediction and actual status. The DCA showed that the prediction model was clinically useful within the whole threshold range. CONCLUSION: Low BMD, leakage of bone cement and “O” shaped distribution of bone cement are independent risk factors for AVCF after vertebroplasty. The nomogram prediction model has good predictive ability and clinical benefit. BioMed Central 2023-07-10 /pmc/articles/PMC10334643/ /pubmed/37430232 http://dx.doi.org/10.1186/s12893-023-02068-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Qian, Yadong
Hu, Xiao
Li, Chen
Zhao, Jingwei
Zhu, Yanjing
Yu, Yan
Xie, Ning
Ma, Bin
Zeng, Zhili
Cheng, Liming
Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
title Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
title_full Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
title_fullStr Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
title_full_unstemmed Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
title_short Development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
title_sort development of a nomogram model for prediction of new adjacent vertebral compression fractures after vertebroplasty
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334643/
https://www.ncbi.nlm.nih.gov/pubmed/37430232
http://dx.doi.org/10.1186/s12893-023-02068-6
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