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Diagnostic value of resting tricuspid regurgitation velocity and right ventricular ejection flow parameters for the detection of exercise induced pulmonary arterial hypertension

dc.contributor.authorBossone, Eduardoen_US
dc.contributor.authorAvelar, Ericken_US
dc.contributor.authorBach, David S.en_US
dc.contributor.authorGillespie, Brenda W.en_US
dc.contributor.authorRubenfire, Melvynen_US
dc.contributor.authorArmstrong, William F.en_US
dc.date.accessioned2006-09-08T20:27:07Z
dc.date.available2006-09-08T20:27:07Z
dc.date.issued2000-12en_US
dc.identifier.citationBossone, Eduardo; Avelar, Erick; Bach, David S.; Gillespie, Brenda; Rubenfire, Melvyn; Armstrong, William F.; (2000). "Diagnostic value of resting tricuspid regurgitation velocity and right ventricular ejection flow parameters for the detection of exercise induced pulmonary arterial hypertension." The International Journal of Cardiovascular Imaging 16(6): 429-436. <http://hdl.handle.net/2027.42/42541>en_US
dc.identifier.issn0167-9899en_US
dc.identifier.issn1573-0743en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/42541
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=11482708&dopt=citationen_US
dc.description.abstractOur objectives were to evaluate resting tricuspid regurgitation velocity (TRV) and right ventricular outflow tract velocity curve (RVOT vc ) profiles as markers for development of exercise induced pulmonary arterial hypertension (ExPHT). ExPHT is an elusive cause of dyspnea and fatigue. When present, Doppler echocardiography can detect and quantify elevated pulmonary pressure. However, the characteristics and diagnostic value of resting TRV and RVOT vc indices in patients with ExPHT have not been fully addressed. The study population consisted of 52 subjects (mean age 40.5 ± 10.9, range 22–68 years) and was divided into three subsets as follows: 1. Patients (n = 22) with overt pulmonary hypertension (PHT), 2. Patients (n = 8) with ExPHT, 3. Healthy, asymptomatic volunteers (n = 22). RVOT vc indices included: Mean and peak velocity, systolic velocity time integral (VTI); velocity time integral at peak velocity (VTI max ), acceleration time; ejection time. TRV was used as an index of pulmonary artery systolic pressure. There were significant differences between normals and ExPHT for TRV, acceleration time, VTI Vmax . TRV and VTI max were predictive of EXPHT in a logistic regression model. Conclusion : (1) Patients with ExPHT have distinct Doppler velocity patterns suggesting the presence of a compromised pulmonary vascular bed even with normal pulmonary pressure at rest. (2) TRV and RVOT vc indices have potential diagnostic value in the early detection of ExPHT.en_US
dc.format.extent338726 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherMedicine & Public Healthen_US
dc.subject.otherCardiologyen_US
dc.subject.otherDoppler Echocardiographyen_US
dc.subject.otherExercise Induced Pulmonary Hypertensionen_US
dc.subject.otherPulmonary Arterial Hypertensionen_US
dc.titleDiagnostic value of resting tricuspid regurgitation velocity and right ventricular ejection flow parameters for the detection of exercise induced pulmonary arterial hypertensionen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInternal Medicine and Specialtiesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDivision of Cardiology, Department of Internal Medicine, and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan, Italyen_US
dc.contributor.affiliationumDivision of Cardiology, Department of Internal Medicine, and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan, Italyen_US
dc.contributor.affiliationumDivision of Cardiology, Department of Internal Medicine, and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan, Italyen_US
dc.contributor.affiliationumDivision of Cardiology, Department of Internal Medicine, and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan, Italyen_US
dc.contributor.affiliationumDivision of Cardiology, Department of Internal Medicine, and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan, Italyen_US
dc.contributor.affiliationotherDepartment of Echocardiographic Research, San Donato Hospital, University of Milan, Italyen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid11482708en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/42541/1/10554_2004_Article_321214.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1010604913656en_US
dc.identifier.sourceThe International Journal of Cardiovascular Imagingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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