已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Establishment of a novel risk prediction model for recompression of augmented vertebrae at the thoracolumbar junction and modified puncture technique for prevention: a multicenter retrospective study

医学 列线图 逻辑回归 接收机工作特性 矢状面 经皮 外科 放射科 内科学
作者
Weibo Yu,Xiaobing Jiang,Haiyan Zhang,Zhensong Yao,Yuanming Zhong,Fubo Tang,Daozhang Cai
出处
期刊:Journal of neurosurgery [Journal of Neurosurgery Publishing Group]
卷期号:: 1-9 被引量:5
标识
DOI:10.3171/2023.3.spine2312
摘要

Recompression of augmented vertebrae (RCAV) is often seen after percutaneous kyphoplasty (PKP), especially at the thoracolumbar junction. The authors aimed to develop and validate a risk prediction model (nomogram) for RCAV and to evaluate the efficacy of a modified puncture technique for RCAV prevention after PKP for thoracolumbar osteoporotic vertebral fractures (OVFs).Patients who underwent PKP for single thoracolumbar OVFs (T10-L2) between January 2016 and October 2020 were reviewed and followed up for at least 2 years. All patients were randomly divided into a training group (70%) and a validation group (30%). Relevant potential data affecting recompression were collected. Predictors were screened by using binary logistic regression analysis to construct the nomogram. Calibration and receiver operating characteristic curves were used to evaluate the consistency of the prediction models. Finally, the efficacy of the modified puncture technique for prevention of RCAV in OVF patients with a preoperative intravertebral cleft (IVC) was further demonstrated through binary logistic regression analysis.Overall, 394 patients were included and 116 of them (29.4%) sustained RCAV. The independent risk factors included decreased bone mineral density, lower level of serum 25-hydroxy vitamin D3, larger C7-S1 sagittal vertical axis (SVA), preoperative IVC, and solid-lump cement distribution. The area under the curve (AUC) of the prediction model was 0.824 in the training group and 0.875 in the validation group patients. The calibration curve indicated the predictive power of this nomogram, with the preoperative IVC having the highest prediction accuracy (AUC 0.705). The modified puncture technique significantly reduced the incidence of RCAV by enhancing bone cement distribution into a sufficiently diffused distribution in OVF patients with preoperative IVC.The nomogram prediction model had satisfactory accuracy and clinical utility for identification of patients at low and high risk of postoperative RCAV. Patients at high risk of postoperative RCAV might benefit from the target puncture technique and vitamin D supplementation as well as effective antiosteoporotic therapies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
霍笑寒完成签到,获得积分10
1秒前
搜集达人应助宋林峰采纳,获得10
2秒前
2秒前
paulhsy完成签到 ,获得积分10
2秒前
陈豆豆发布了新的文献求助10
3秒前
5秒前
LX完成签到 ,获得积分10
7秒前
charint应助温暖又夏采纳,获得50
10秒前
13秒前
doudou完成签到 ,获得积分10
13秒前
13秒前
14秒前
王十二发布了新的文献求助10
17秒前
17秒前
xxx关闭了xxx文献求助
17秒前
18秒前
大鱼发布了新的文献求助10
19秒前
白浪浪发布了新的文献求助10
19秒前
20秒前
薛冰雪发布了新的文献求助10
20秒前
FashionBoy应助ai化学采纳,获得10
21秒前
lyy发布了新的文献求助10
24秒前
正直芒果发布了新的文献求助10
24秒前
kali发布了新的文献求助10
25秒前
情怀应助任性的梦竹采纳,获得10
26秒前
桐桐应助大鱼采纳,获得10
26秒前
27秒前
27秒前
勤恳的听兰完成签到,获得积分10
29秒前
郭郭郭完成签到 ,获得积分10
29秒前
隐形曼青应助qinjiayin采纳,获得10
30秒前
31秒前
yu777发布了新的文献求助10
31秒前
正直芒果完成签到,获得积分10
32秒前
乐乐应助HRZ采纳,获得10
32秒前
32秒前
32秒前
赘婿应助Sammy采纳,获得10
33秒前
33秒前
sobergod完成签到 ,获得积分10
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5941901
求助须知:如何正确求助?哪些是违规求助? 7065886
关于积分的说明 15887151
捐赠科研通 5072446
什么是DOI,文献DOI怎么找? 2728480
邀请新用户注册赠送积分活动 1687072
关于科研通互助平台的介绍 1613287