Combined systolic velocities using tissue Doppler imaging could predict the severity of cirrhosis: A prospective cohort study

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dc.authorid0000-0002-6913-9073en_US
dc.authorid0000-0001-6595-7493en_US
dc.contributor.authorDönmez, İbrahim
dc.contributor.authorAcar, Emrah
dc.date.accessioned2024-05-07T13:32:43Z
dc.date.available2024-05-07T13:32:43Z
dc.date.issued2023en_US
dc.departmentBAİBÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.description.abstractAim: Recent research has demonstrated that the contractile characteristics of the right ventricular outflow tract (RVOT) play a significant role in right ventricular function. Pulmonary annular motion velocity (PAMVUT) is a reliable marker of RVOT function. Also, combined systolic velocity [PAMVUT added to tricuspid annular systolic velocity (St)] has been revealed as a suitable parameter for right ventricular systolic function. In this study, we examined the association between the severity of the illness in cirrhotic patients and the combined S velocities (CSV). Methods: Seventy-four patients with cirrhosis went to the echocardiography laboratory of the Cardiology Department in our centre. Traditional echocardiographic measurements, PAMVUT and CSV values were recorded. The Child-Pugh classes of the patients were determined. Results: Receiver operating characteristic curve analysis demonstrated that a CSV of 23 cm/s constituted the cut-off value for predicting a moderate-to-severe form of cirrhosis with 76% sensitivity and 65.3% specificity (area uder the curve = 0.735, p < 0.001). Conclusion: CSV values could predict the severity of cirrhosis more precisely than traditional right ventricular systolic function parameters.en_US
dc.identifier.citationDönmez, I., & Acar, E. (2023). Combined systolic velocities using tissue Doppler imaging could predict the severity of cirrhosis: a prospective cohort study. Cardiovascular Journal of Africa, 34(3), 175-180.en_US
dc.identifier.doi10.5830/CVJA-2023-034
dc.identifier.endpage180en_US
dc.identifier.issn1995-1892
dc.identifier.issn1680-0745
dc.identifier.issue3en_US
dc.identifier.pmid37526978en_US
dc.identifier.scopus2-s2.0-85169847598en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage175en_US
dc.identifier.urihttp://dx.doi.org/10.5830/CVJA-2023-034
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12129
dc.identifier.volume34en_US
dc.identifier.wosWOS:001029599700001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorDönmez, İbrahim
dc.institutionauthorAcar, Emrah
dc.language.isoenen_US
dc.publisherClinics Cardive Publishing Pty Ltden_US
dc.relation.ispartofCardiovascular Journal Of Africaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCirrhosisen_US
dc.subjectDoppleren_US
dc.subjectEchocardiographyen_US
dc.subjectFatty Liver-Diseaseen_US
dc.subjectSpeckle-Trackingen_US
dc.subjectChamber Quantificationen_US
dc.titleCombined systolic velocities using tissue Doppler imaging could predict the severity of cirrhosis: A prospective cohort studyen_US
dc.typeArticleen_US

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