{"title":"Assessment of Long-Term Sequelae of Pulmonary Dysfunction Associated with COVID-19 Using Pulmonary Pulse Transit Time.","authors":"Mustafa Duran, Turgut Uygun, Ercan Kurtipek","doi":"10.4103/jcecho.jcecho_31_22","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Studies report deleterious impacts of severe acute respiratory syndrome coronavirus 2 on multiple organs in the human body, not only in the acute infection period but also in the long-term sequelae. Recently defined pulmonary pulse transit time (pPTT) was found to be a useful parameter regarding the evaluation of pulmonary hemodynamics. The purpose of this study was to determine whether pPTT might be a favorable tool for detecting the long-term sequelae of pulmonary dysfunction associated with coronavirus disease 2019 (COVID-19).</p><p><strong>Materials and methods: </strong>We evaluated 102 eligible patients with a prior history of laboratory-confirmed COVID-19 hospitalization at least 1 year ago and 100 age- and sex-matched healthy controls. All participants' medical records and clinical and demographic features were analyzed and underwent detailed 12-lead electrocardiography, echocardiographic assessment, and pulmonary function tests.</p><p><strong>Results: </strong>According to our study, pPTT was positively correlated with forced expiratory volume in the 1<sup>st</sup> s, peak expiratory flow, and tricuspid annular plane systolic excursion (<i>r</i> = 0.478, <i>P</i> < 0.001; <i>r</i> = 0.294, <i>P</i> = 0.047; and <i>r</i> = 0.314, <i>P</i> = 0.032, respectively) as well as negatively correlated with systolic pulmonary artery pressure (<i>r</i> = -0.328, <i>P</i> = 0.021).</p><p><strong>Conclusion: </strong>Our data indicate that pPTT might be a convenient method for early prediction of pulmonary dysfunction among COVID-19 survivors.</p>","PeriodicalId":15191,"journal":{"name":"Journal of Cardiovascular Echography","volume":"32 4","pages":"200-204"},"PeriodicalIF":0.7000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041403/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiovascular Echography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jcecho.jcecho_31_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/23 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Studies report deleterious impacts of severe acute respiratory syndrome coronavirus 2 on multiple organs in the human body, not only in the acute infection period but also in the long-term sequelae. Recently defined pulmonary pulse transit time (pPTT) was found to be a useful parameter regarding the evaluation of pulmonary hemodynamics. The purpose of this study was to determine whether pPTT might be a favorable tool for detecting the long-term sequelae of pulmonary dysfunction associated with coronavirus disease 2019 (COVID-19).
Materials and methods: We evaluated 102 eligible patients with a prior history of laboratory-confirmed COVID-19 hospitalization at least 1 year ago and 100 age- and sex-matched healthy controls. All participants' medical records and clinical and demographic features were analyzed and underwent detailed 12-lead electrocardiography, echocardiographic assessment, and pulmonary function tests.
Results: According to our study, pPTT was positively correlated with forced expiratory volume in the 1st s, peak expiratory flow, and tricuspid annular plane systolic excursion (r = 0.478, P < 0.001; r = 0.294, P = 0.047; and r = 0.314, P = 0.032, respectively) as well as negatively correlated with systolic pulmonary artery pressure (r = -0.328, P = 0.021).
Conclusion: Our data indicate that pPTT might be a convenient method for early prediction of pulmonary dysfunction among COVID-19 survivors.