Suppr超能文献

用于评估腰椎后路融合术后深静脉血栓形成风险的列线图:一项回顾性研究

Nomogram to Assess the Risk of Deep Venous Thrombosis After Posterior Lumbar Fusion: A Retrospective Study.

作者信息

Li Xiang, Ma Jinlong, Xue Lu, Wang Limin, Jiao Guangjun, Chen Yunzhen

机构信息

Department of Spine Surgery, Shandong University Cheeloo College of Medicine, Jinan, China.

Department of Spine Surgery, Qilu Hospital of Shandong University, Jinan, China.

出版信息

Global Spine J. 2025 May;15(4):2169-2175. doi: 10.1177/21925682241289119. Epub 2024 Oct 11.

Abstract

Study DesignRetrospective cohort study.ObjectivesDeep venous thrombosis (DVT) is a common complication following lumbar spine surgery, which can lead to adverse consequences such as venous thromboembolism and pulmonary embolism. This study aimed to investigate whether predictors of DVT can improve clinical interventions.MethodsThe study included patients who underwent posterior lumbar fusion between 2012 and 2022. In the training cohort, stepwise logistic regression, based on the Akaike information criterion minimum, was used to identify variables for constructing the nomogram. The nomogram was evaluated and validated using calibration curves, Brier scores, receiver operating characteristic (ROC) curves, C-index, decision curve analyses (DCAs), clinical impact curves (CICs), and risk stratification analyses.ResultsA total of 9216 patients were enrolled after screening. The nomogram included seven variables: cerebrovascular disease, diabetes, body mass index, age, pedicular screw quantity, D-dimer, and hypertension. Calibration plots demonstrated favorable agreement between predicted and observed probabilities. The C-index indicated satisfactory discriminatory ability of the nomogram (0.772 for the training cohort and 0.792 for the validation cohort). Additionally, the DCA and CIC revealed that the nomogram could provide clinical benefits for patients.ConclusionsThis study successfully developed and validated a nomogram that can assess the risk of DVT following posterior lumbar fusion. The nomogram will assist surgeons in making informed clinical decisions.

摘要

研究设计

回顾性队列研究。

目的

深静脉血栓形成(DVT)是腰椎手术后常见的并发症,可导致静脉血栓栓塞和肺栓塞等不良后果。本研究旨在探讨DVT的预测因素是否能改善临床干预措施。

方法

该研究纳入了2012年至2022年间接受后路腰椎融合术的患者。在训练队列中,基于赤池信息准则最小值的逐步逻辑回归用于识别构建列线图的变量。使用校准曲线、Brier评分、受试者工作特征(ROC)曲线、C指数、决策曲线分析(DCA)、临床影响曲线(CIC)和风险分层分析对列线图进行评估和验证。

结果

经筛选,共纳入9216例患者。列线图包括七个变量:脑血管疾病、糖尿病、体重指数、年龄、椎弓根螺钉数量、D-二聚体和高血压。校准图显示预测概率与观察概率之间具有良好的一致性。C指数表明列线图具有令人满意的鉴别能力(训练队列中为0.772,验证队列中为0.792)。此外,DCA和CIC显示列线图可为患者提供临床益处。

结论

本研究成功开发并验证了一种可评估后路腰椎融合术后DVT风险的列线图。该列线图将有助于外科医生做出明智的临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c53/12035315/29456688a38d/10.1177_21925682241289119-img01.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