清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

Development and validation of a prediction model for outcomes after transaxillary first rib resection for neurogenic thoracic outlet syndrome following strict Society for Vascular Surgery diagnostic criteria

医学 外科 逻辑回归 接收机工作特性 内科学
作者
Arinze J. Ochuba,Deepthi P. Mallela,James Feghali,Daniel Lubelski,Allan J. Belzberg,Caitlin W. Hicks,Christopher J. Abularrage,Ying Wei Lum
出处
期刊:Journal of Vascular Surgery [Elsevier]
卷期号:77 (2): 606-615
标识
DOI:10.1016/j.jvs.2022.10.014
摘要

Neurogenic thoracic outlet syndrome (NTOS) is the most common form of thoracic outlet syndrome. However, NTOS has remained difficult to diagnose and treat successfully. The purpose of the present study was to generate a predictive clinical calculator for postoperative outcomes after first rib resection (FRR) for NTOS.We performed a retrospective review of patients who had undergone FRR for NTOS at a single tertiary care institution between 2016 and 2020. A multivariate stepwise logistic regression analysis was performed to assess the association of the percentage of improvement after FRR with the patient baseline characteristics, pertinent clinical characteristics, and diagnostic criteria set by the Society for Vascular Surgery. The primary outcome was subjective patient improvement after FRR. A prediction risk calculator was developed using backward stepwise multivariate logistic regression coefficients. Bootstrapping was used for internal validation.A total of 208 patients (22.2% male; mean age, 35.8 ± 12.8 years; median follow-up, 44.9 months) had undergone 243 FRRs. Of the 208 patients, 94.7% had had symptoms localized to the supraclavicular area, and 97.6% had had symptoms in the hand. All the patients had had positive symptoms reproduced by the elevated arm stress test and upper limb tension test. Another reasonably likely diagnosis was absent for all the patients. Of the 196 patients who had received a lidocaine injection, 180 (93.3%) had experienced improvement of NTOS symptoms. Of the 95 patients who had received a Botox injection, 82 (74.6%) had experienced improvement of NTOS symptoms. Receiver operating characteristic curve analysis was used to assess the model. The area under the curve for the backward stepwise multivariate logistic regression model was 0.8. The multivariate logistic regression analyses revealed that the significant predictors of worsened clinical outcomes included hand weakness (adjusted odds ratio [aOR], 4.28; 95% confidence interval [CI], 1.04-17.74), increasing age (aOR, 0.93; 95% CI, 0.88-0.99), workers' compensation or litigation case (aOR, 0.09; 95% CI, 0.01-0.82), and symptoms in the dominant hand (aOR, 0.20; 95% CI, 0.05-0.88).Using retrospective data from a single-institution database, we have developed a prediction calculator with moderate to high predictive ability, as demonstrated by an area under the curve of 0.8. The tool (available at: https://jhhntosriskcalculator.shinyapps.io/NTOS_calc/) is an important adjunct to clinical decision-making that can offer patients and providers realistic and personalized expectations of the postoperative outcome after FRR for NTOS. The findings from the present study have reinforced the diagnostic criteria set by the Society for Vascular Surgery. The calculator could aid physicians in surgical planning, referrals, and counseling patients on whether to proceed with surgery.

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
elvis850910发布了新的文献求助10
6秒前
crystaler完成签到 ,获得积分10
8秒前
elvis850910完成签到,获得积分10
17秒前
微笑芒果完成签到 ,获得积分0
21秒前
wxc完成签到 ,获得积分10
26秒前
hkc完成签到,获得积分10
34秒前
令狐冲完成签到,获得积分0
36秒前
房房不慌完成签到 ,获得积分10
37秒前
xingmeng完成签到,获得积分10
40秒前
duxh123完成签到 ,获得积分10
41秒前
清脆的靖仇完成签到,获得积分10
46秒前
阳光保温杯完成签到 ,获得积分10
49秒前
科研通AI6应助科研通管家采纳,获得10
56秒前
56秒前
mictime完成签到,获得积分10
1分钟前
从容海完成签到 ,获得积分10
1分钟前
阿尔法贝塔完成签到 ,获得积分10
1分钟前
Ray完成签到 ,获得积分10
1分钟前
tszjw168完成签到 ,获得积分0
2分钟前
2分钟前
lx完成签到,获得积分10
2分钟前
belssingoo发布了新的文献求助10
2分钟前
wangzhenghua完成签到 ,获得积分10
2分钟前
冰河完成签到 ,获得积分10
2分钟前
忒寒碜完成签到,获得积分10
2分钟前
风趣亦巧完成签到 ,获得积分10
2分钟前
石头巧克力完成签到,获得积分10
2分钟前
华桦子完成签到 ,获得积分10
2分钟前
上官若男应助科研通管家采纳,获得10
2分钟前
SciGPT应助科研通管家采纳,获得10
2分钟前
qiqiqiqiqi完成签到 ,获得积分10
3分钟前
和谐的夏岚完成签到 ,获得积分10
3分钟前
郑雅柔完成签到 ,获得积分0
3分钟前
早日毕业完成签到 ,获得积分10
3分钟前
量子星尘发布了新的文献求助10
4分钟前
yong完成签到 ,获得积分10
4分钟前
我哪知道怎么完成签到 ,获得积分10
4分钟前
量子星尘发布了新的文献求助10
4分钟前
诺亚方舟哇哈哈完成签到 ,获得积分0
4分钟前
4分钟前
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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
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 5706756
求助须知:如何正确求助?哪些是违规求助? 5177393
关于积分的说明 15247325
捐赠科研通 4860157
什么是DOI,文献DOI怎么找? 2608446
邀请新用户注册赠送积分活动 1559310
关于科研通互助平台的介绍 1517136