A Nomogram for Predicting Patent Foramen Ovale-Related Stroke Recurrence

列线图 医学 卵圆孔未闭 冲程(发动机) 内科学 曲线下面积 心脏病学 机械工程 工程类 偏头痛
作者
Zhuonan Wu,Chuanjing Zhang,Nan Liu,Wenqing Xie,Jinjin Yang,Hangyuan Guo,Jufang Chi
出处
期刊:Frontiers in Neurology [Frontiers Media]
卷期号:13 被引量:1
标识
DOI:10.3389/fneur.2022.903789
摘要

The high prevalence of patent foramen ovale (PFO) in cryptogenic stroke suggested a stroke-causing role for PFO. As risk factors for recurrence of such stroke are not recognized, clinicians cannot sufficiently identify, treat, and follow-up high-risk patients. Therefore, this study aimed to establish a prediction model for PFO-related stroke recurrence.This study included 392 patients with PFO-related stroke in a training set and 164 patients with PFO-related stroke in an independent validation set. In the training set, independent risk factors for recurrence identified using forward stepwise Cox regression were included in nomogram 1, and those identified using least absolute shrinkage and selection operator(LASSO)regression were included in nomogram 2. Nomogram performance and discrimination were assessed using the concordance index (C-index), area under the curve (AUC), calibration curve, and decision curve analyses (DCA). The results were also validated in the validation set.Nomogram 1 was based on homocysteine (Hcy), high-sensitivity C-reactive protein (hsCRP), and albumin (ALB), and nomogram 2 was based on age, diabetes, hypertension, right-to-left shunt, ALB, prealbumin, hsCRP, and Hcy. The C-index of nomogram 1 was 0.861, which was not significantly different from that of nomogram 2 (0.893). The 2- and 5-year AUCs of nomogram 1 were 0.863 and 0.777, respectively. In the validation set, nomogram 1 still had good discrimination (C-index, 0.862; 2-year AUC, 0.839; 5-year AUC, 0.990). The calibration curve showed good homogeneity between the prediction by nomogram 1 and the actual observation. DCA demonstrated that nomogram 1 was clinically useful. Moreover, patients were successfully divided into two distinct risk groups (low and high risk) for recurrence rate by nomogram 1.Nomogram 1, based on Hcy, hsCRP, and ALB levels, provided a more clinically realistic prognostic prediction for patients with PFO-related stroke. This model could help patients with PFO-related stroke to facilitate personalized prognostic evaluations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Stanley发布了新的文献求助10
2秒前
李爱国应助虚心月饼采纳,获得10
2秒前
2秒前
3秒前
13771590815发布了新的文献求助10
5秒前
橙色小人完成签到,获得积分10
6秒前
8秒前
苗条梦玉发布了新的文献求助10
8秒前
luoshikun发布了新的文献求助10
10秒前
bkagyin应助MQRR采纳,获得30
10秒前
11秒前
西西完成签到,获得积分20
13秒前
Stanley完成签到,获得积分20
14秒前
今后应助苗条梦玉采纳,获得10
14秒前
量子星尘发布了新的文献求助10
14秒前
zzlark完成签到,获得积分10
15秒前
爱吃冬瓜发布了新的文献求助20
16秒前
Awalong完成签到,获得积分10
19秒前
20秒前
ymj完成签到,获得积分10
26秒前
28秒前
wulalala完成签到,获得积分20
28秒前
28秒前
29秒前
sssyq完成签到,获得积分20
30秒前
彭于晏应助luoshikun采纳,获得10
31秒前
领导范儿应助啦啦啦采纳,获得10
32秒前
katarinabluu完成签到,获得积分10
33秒前
彭于晏应助leanne采纳,获得10
33秒前
我是老大应助明道若昧采纳,获得10
33秒前
sssyq发布了新的文献求助10
33秒前
着急的觅海完成签到,获得积分10
33秒前
34秒前
ylky发布了新的文献求助10
39秒前
科研通AI2S应助浮浮世世采纳,获得10
39秒前
传奇3应助华中科技大学采纳,获得10
39秒前
情怀应助WN采纳,获得10
40秒前
40秒前
43秒前
朴实山兰完成签到,获得积分10
45秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989378
求助须知:如何正确求助?哪些是违规求助? 3531442
关于积分的说明 11254002
捐赠科研通 3270126
什么是DOI,文献DOI怎么找? 1804887
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809173