Risk Factors of Lower Extremity Deep Vein Thrombosis After Artificial Femoral Head Replacement for Elderly Femoral Neck Fractures and a Nomogram Model Construction.

列线图 医学 股骨头 逻辑回归 股骨颈 深静脉 血栓形成 外科 单变量分析 置信区间 曲线下面积 多元分析 内科学 骨质疏松症
作者
Guoqin Huang,Feng Han,Haifeng Wu,Tie Fan,Weidong Guo
出处
期刊:PubMed
链接
标识
摘要

To assess lower extremity deep vein thrombosis (DVT) risk factors after artificial femoral head replacement for elderly femoral neck fractures. A nomogram model was constructed to predict its risk.In analyzing 144 participants who underwent artificial femoral head replacement for elderly femoral neck fractures, researchers collected clinical data to identify factors associated with lower extremity DVT. The study collected numerous variables ranging from age and sex to history of lower extremity DVT and use of anticoagulant drugs after surgery. The patients were in two groups: those who developed DVT (n = 62) and those who did not (n = 82). Multivariate logistic regression analysis helped to identify factors influencing the occurrence of DVT after artificial femoral head replacement. The software packages used were R 4.1.0 and RMS.Univariate and multivariate regression analysis identified age, ASA level, D-dimer of lower limb DVT, ALB, and PLT as predictive risk factors of lower extremity DVT after artificial femoral head replacement for elderly femoral neck fractures. Those risk factors were used to construct a clinical predictive nomogram. The calibration curves for hypertension in patients with OSAHS risk revealed excellent accuracy of the predictive nomogram model. The unadjusted concordance index (C-index) for the model was 0.877 [95% confidence interval (CI), 0.805-0.942]. The AUC was 0.8375002. Decision curve analysis showed that the predictive model could be applied clinically when the threshold probability was 20 to 80%.The researchers constructed and validated a clinical nomogram to predict the occurrence of lower extremity DVT after artificial femoral head replacement in elderly patients with femoral neck fractures. Age, ASA level, D-dimer, and history of lower limb DVT, ALB, and PLT were demonstrated to be predictive risk factors of lower extremity DVT in this circumstance. This practical prognostic nomogram may help improve clinical decision-making.

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
研友_VZG7GZ应助体贴啤酒采纳,获得10
刚刚
tender完成签到,获得积分10
刚刚
Vivian完成签到,获得积分10
1秒前
devilfish13发布了新的文献求助10
1秒前
单薄的友容完成签到,获得积分10
2秒前
孟子豪发布了新的文献求助10
2秒前
顾闭月完成签到,获得积分10
2秒前
高贵的小熊猫完成签到,获得积分10
3秒前
wangtingyu完成签到,获得积分10
4秒前
范海辛完成签到,获得积分10
4秒前
量子星尘发布了新的文献求助50
5秒前
5秒前
yibo完成签到,获得积分10
5秒前
张贵虎完成签到 ,获得积分10
8秒前
精酿沐舒坦完成签到,获得积分10
8秒前
8秒前
Mengjie完成签到,获得积分10
9秒前
Akim应助好运爆彭采纳,获得10
9秒前
lee1984612完成签到,获得积分10
9秒前
凯蒂完成签到,获得积分10
9秒前
hutian完成签到,获得积分10
10秒前
香蕉静芙完成签到,获得积分10
10秒前
haliw完成签到,获得积分10
10秒前
敏捷的猪猪侠完成签到,获得积分10
10秒前
10秒前
爆米花应助blueee1214采纳,获得10
10秒前
jiangxiaoyu完成签到 ,获得积分10
11秒前
FFLL发布了新的文献求助30
11秒前
潘宋完成签到,获得积分10
12秒前
量子星尘发布了新的文献求助10
12秒前
可爱的王女士完成签到,获得积分10
12秒前
lemshine完成签到,获得积分10
12秒前
情怀应助斯人采纳,获得10
12秒前
12秒前
Whim应助小包子采纳,获得20
13秒前
abc123完成签到,获得积分10
13秒前
13秒前
13秒前
13秒前
hi_zhanghao完成签到,获得积分10
14秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
岡本唐貴自伝的回想画集 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3661303
求助须知:如何正确求助?哪些是违规求助? 3222367
关于积分的说明 9745047
捐赠科研通 2931980
什么是DOI,文献DOI怎么找? 1605350
邀请新用户注册赠送积分活动 757854
科研通“疑难数据库(出版商)”最低求助积分说明 734569