Suppr超能文献

建立预测椎体成形术后新发相邻椎体压缩性骨折的列线图模型。

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

机构信息

Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji University, Shanghai, China.

Division of Spine, Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.

出版信息

BMC Surg. 2023 Jul 10;23(1):197. doi: 10.1186/s12893-023-02068-6.

Abstract

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.

摘要

背景

椎体成形术是骨质疏松性椎体压缩骨折(OVCF)的主要微创治疗方法,具有止痛迅速、康复时间短的优点。然而,椎体成形术后常发生新的相邻椎体压缩骨折(AVCF)。本研究旨在探讨 AVCF 的危险因素,并建立临床预测模型。

方法

我们回顾性收集了 2018 年 6 月至 2019 年 12 月在我院行椎体成形术患者的临床资料。根据术后是否发生 AVCF 将患者分为非骨折组(289 例)和骨折组(43 例)。采用单因素分析、最小绝对收缩和选择算子(LASSO)逻辑回归、多因素逻辑回归分析确定术后新发 AVCF 的独立预测因素。根据相关危险因素建立列线图临床预测模型,并采用受试者工作特征曲线(ROC)、校准曲线和决策曲线分析(DCA)评价模型的预测效果和临床价值。内部验证后,纳入我院 2020 年 1 月至 12 月行椎体成形术的患者,包括非骨折组(156 例)和骨折组(21 例),再次评估预测模型。

结果

LASSO 回归和逻辑回归分析筛选出骨密度(BMD)低、骨水泥渗漏和“O”型骨水泥分布 3 个独立危险因素。模型在训练队列和验证队列中的曲线下面积(AUC)分别为 0.848(95%CI:0.786-0.909)和 0.867(95%CI:0.796-0.939),具有良好的预测能力。校准曲线显示了预测与实际情况之间的相关性。DCA 显示,预测模型在整个阈值范围内具有临床意义。

结论

低 BMD、骨水泥渗漏和“O”型骨水泥分布是椎体成形术后发生 AVCF 的独立危险因素。列线图预测模型具有良好的预测能力和临床获益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4897/10334643/acccbff11dc3/12893_2023_2068_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验