A new pretest probability score for diagnosis of lower limb deep vein thrombosis in unselected population of outpatients and inpatients

Author:

Sermsathanasawadi Nuttawut1,Chaivanit Trakarn1,Suparatchatpun Pinyo1,Chinsakchai Khamin1,Wongwanit Chumpol1,Ruangsetakit Chanean1,Mutirangura Pramook1

Affiliation:

1. Division of Vascular Surgery, Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand

Abstract

Objective To develop a new pretest probability score for deep vein thrombosis (DVT) in unselected population of outpatients and inpatients. Methods The new score was developed using independent factors from 500 patients clinically suspected of leg DVT. The new score was validated in a second group of 315 patients. Results The score consists of four components: unilateral leg pain, confinement to bed, calf enlargement >3 cm compared with the other side, and previous venous thromboembolism. A score ≥2 indicated a high probability while a score <2 indicated low probability. The sensitivity and specificity of the new score were 71.60% and 79.49%, respectively. The area under the receiver operating characteristic curve for the new score was 0.79. The combination of a new score <2 and D-dimer level <500 µg/L had a negative predictive value of 96.43%. Conclusions Our new score was valid in an unselected population of outpatients and inpatients.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Age-adjusted D-dimer for the diagnosis of deep vein thrombosis;Phlebology: The Journal of Venous Disease;2017-07-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3