Add like
Add dislike
Add to saved papers

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

AIM: 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.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app