Electrocardiogram-based scoring system for predicting secondary pulmonary hypertension: A cross-sectional study

Author:

Pancholy Samir Bipin1,Palamaner Subash Shantha Ghanshyam1,Patel Nimesh Kirit1,Boruah Pranjal1,Nanavaty Sukrut1,Chandran Sindu1,Sethi Arjinder1,Sheth Jignesh1

Affiliation:

1. The Wright Center for Graduate Medical Education, USA

Abstract

Objectives In this study, we have developed an electrocardiogram-based scoring system to predict secondary pulmonary hypertension. Design A cross-sectional study. Setting Single tertiary-care hospital in Scranton, Pennsylvania, USA. Participants Five hundred and fifty-two consecutive patients undergoing right heart catheterization between 2006 and 2009. Main outcome measures Surface electrocardiogram was assessed for R-wave in lead V1 ≥ 6mm, R-wave in V6 ≤ 3mm, S-wave in V6 ≥ 3mm, right atrial enlargement, right axis deviation and left atrial enlargement. Pulmonary hypertension was defined as mean pulmonary artery pressure ≥25 mmHg, determined by right heart catheterization. Results A total of 297 (54%) patients in the study cohort had pulmonary hypertension. In total, 332 patients from the study cohort formed the development cohort and the remaining 220 patients formed the validation cohort. In the development cohort, based on log odds ratios of association, RAE, LAE, RAD, R-wave in V1 ≥ 6 mm were assigned scores of 5, 2, 2 and 1, respectively, to form a 10-point scoring system “Scranton PHT (SP) score”. SP scores of 5 points and 7 points in DC showed C-statistic of 0.83 and 0.89, respectively, for discriminating pulmonary hypertension. C-statistic for RAE alone was significantly lower compared to an SP score of 7 (0.83 vs. 0.89, P = 0.021). The reliability of SP score in the validation cohort was acceptable. Conclusion SP score provides a good point-of-care tool to predict pulmonary hypertension in patients with clinical suspicion of it.

Publisher

SAGE Publications

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