亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Derivation of a Simple Clinical Model to Categorize Patients Probability of Pulmonary Embolism: Increasing the Models Utility with the SimpliRED D-dimer

医学 D-二聚体 肺栓塞 逻辑回归 临床预测规则 分类 队列 前瞻性队列研究 内科学 外科 人工智能 计算机科学
作者
Philip S. Wells,David R. Anderson,Marc Rodger,JS Ginsberg,Clive Kearon,Michael Gent,Alexander G.G. Turpie,Janis Bormanis,J Weitz,M. C. Chamberlain,D Bowie,David Barnes,J. Hirsh
出处
期刊:Thrombosis and Haemostasis [Thieme Medical Publishers (Germany)]
卷期号:83 (03): 416-420 被引量:1631
标识
DOI:10.1055/s-0037-1613830
摘要

We have previously demonstrated that a clinical model can be safely used in a management strategy in patients with suspected pulmonary embolism (PE). We sought to simplify the clinical model and determine a scoring system, that when combined with D-dimer results, would safely exclude PE without the need for other tests, in a large proportion of patients. We used a randomly selected sample of 80% of the patients that participated in a prospective cohort study of patients with suspected PE to perform a logistic regression analysis on 40 clinical variables to create a simple clinical prediction rule. Cut points on the new rule were determined to create two scoring systems. In the first scoring system patients were classified as having low, moderate and high probability of PE with the proportions being similar to those determined in our original study. The second system was designed to create two categories, PE likely and unlikely. The goal in the latter was that PE unlikely patients with a negative D-dimer result would have PE in less than 2% of cases. The proportion of patients with PE in each category was determined overall and according to a positive or negative SimpliRED D-dimer result. After these determinations we applied the models to the remaining 20% of patients as a validation of the results. The following seven variables and assigned scores (in brackets) were included in the clinical prediction rule: Clinical symptoms of DVT (3.0), no alternative diagnosis (3.0), heart rate >100 (1.5), immobilization or surgery in the previous four weeks (1.5), previous DVT/PE (1.5), hemoptysis (1.0) and malignancy (1.0). Patients were considered low probability if the score was <2.0, moderate of the score was 2.0 to 6.0 and high if the score was over 6.0. Pulmonary embolism unlikely was assigned to patients with scores < or =4.0 and PE likely if the score was >4.0. 7.8% of patients with scores of less than or equal to 4 had PE but if the D-dimer was negative in these patients the rate of PE was only 2.2% (95% CI = 1.0% to 4.0%) in the derivation set and 1.7% in the validation set. Importantly this combination occurred in 46% of our study patients. A score of <2.0 and a negative D-dimer results in a PE rate of 1.5% (95% CI = 0.4% to 3.7%) in the derivation set and 2.7% (95% CI = 0.3% to 9.0%) in the validation set and only occurred in 29% of patients. The combination of a score < or =4.0 by our simple clinical prediction rule and a negative SimpliRED D-Dimer result may safely exclude PE in a large proportion of patients with suspected PE.
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
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
美好的香薇完成签到,获得积分10
13秒前
慕月发布了新的文献求助10
38秒前
标致访旋完成签到,获得积分10
50秒前
淡然的半烟完成签到,获得积分10
58秒前
外向如雪完成签到,获得积分10
1分钟前
陶醉妙松完成签到,获得积分10
1分钟前
kobee完成签到 ,获得积分10
1分钟前
年轻火车完成签到,获得积分10
2分钟前
韶绍完成签到 ,获得积分10
2分钟前
陶醉成协完成签到,获得积分10
2分钟前
追寻孤萍完成签到,获得积分10
2分钟前
chen完成签到 ,获得积分10
3分钟前
ll完成签到 ,获得积分10
3分钟前
心灵美晓完成签到,获得积分10
3分钟前
李爱国应助wpz采纳,获得10
3分钟前
优秀函完成签到,获得积分10
3分钟前
3分钟前
Freya1528应助科研通管家采纳,获得20
3分钟前
3分钟前
wpz发布了新的文献求助10
3分钟前
李健应助wpz采纳,获得10
3分钟前
魔幻梦曼完成签到,获得积分10
4分钟前
4分钟前
wpz发布了新的文献求助10
4分钟前
满意的苑博完成签到,获得积分10
4分钟前
Jaysmith001完成签到 ,获得积分0
4分钟前
简单的不平完成签到,获得积分10
4分钟前
田様应助科研通管家采纳,获得10
5分钟前
体贴雪萍完成签到,获得积分10
5分钟前
善良的寒珊完成签到,获得积分10
5分钟前
FashionBoy应助雪山冰川采纳,获得10
6分钟前
6分钟前
雪山冰川发布了新的文献求助10
6分钟前
279完成签到,获得积分10
6分钟前
光亮静槐完成签到 ,获得积分10
6分钟前
小西西完成签到,获得积分10
6分钟前
稳重仇天完成签到,获得积分10
6分钟前
闪闪小凡完成签到,获得积分10
6分钟前
周周南完成签到 ,获得积分0
6分钟前
7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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778271
求助须知:如何正确求助?哪些是违规求助? 9318750
关于积分的说明 20365730
捐赠科研通 7365282
什么是DOI,文献DOI怎么找? 3319178
关于科研通互助平台的介绍 2466967
邀请新用户注册赠送积分活动 2334513