Does prolonged QTc predict pulmonary involvement in COVID-19 patients?

Author:

SARIHAN Aydın1ORCID,RAHMAN Ömer Faruk2ORCID,KORAN Serhat3ORCID,AYTEMİZ Fatih4ORCID,CAN Çağdaş5ORCID,RAHMAN Fatih1ORCID,BULBUL Emre6ORCID

Affiliation:

1. Department of Emergency Medicine, Manisa City Hospital, Manisa, Turkey

2. Department of Cardiovascular Surgery, Burdur State Hospital, Burdur, Turkey

3. Department of Family Medicine, Medipol University Hospital, İstanbul, Turkey

4. Department of Cardiology, Manisa City Hospital, Manisa, Turkey

5. Department of Emergency Medicine, Merkezefendi State Hospital, Manisa, Turkey

6. Department of Emergency Medicine, Erciyes University Faculty of Medicine, Kayseri, Turkey

Abstract

Objectives: Coronavirus disease (COVID-19) is a disease with high mortality due to acute respiratory distress syndrome (ARDS) secondary to viral pneumonia. In addition to its effects on the respiratory system, coronavirus is known to have serious systemic effects on the cardiovascular system. In this study, we aimed to investigate the association between prolonged QTc duration and COVID-19 specific pulmonary involvement Methods: Between December 2020 and February 2021, 112 patients who were diagnosed with COVID-19 in our COVID-19 outpatient clinic and met the inclusion criteria were evaluated for the association between cardiac variables (heart rate, PR width, QRS width, fQRS, and QTc interval), other patient characteristics and lung involvement. Results: A significant difference was found between the QTc intervals of COVID-19 patients with and without lung involvement (p < 0.026). In the ROC analysis for the QTc interval, which was found to be significant in the multivariate regression analysis, the cut-off value of 419.5 ms had a sensitivity of 72% and a specificity of 51.6% in predicting pulmonary involvement. Conclusions: Prolonged QTc duration may be useful in predicting COVID-19 pulmonary involvement in patients admitted to the emergency department.

Publisher

The European Research Journal

Subject

General Medicine

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