These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Clinical Usefulness of an Echo-Doppler Model in Predicting Elevated Pulmonary Capillary Wedge Pressure in Patients With Heart Failure.
    Author: Chinen D, Nagai T, Uemura K, Aikawa Y, Motokawa T, Asaumi Y, Ogo T, Kanzaki H, Noguchi T, Anzai T, Shimizu W, Ogawa H, Sugimachi M, Yasuda S.
    Journal: Am J Cardiol; 2019 May 01; 123(9):1464-1469. PubMed ID: 30819432.
    Abstract:
    Although several tissue-Doppler imaging (TDI) models for pulmonary capillary wedge pressure (PCWP) estimation have been reported, their reliability remains uncertain. Our previous theoretical and experimental analyses suggest that right atrial pressure (RAP) corrected by tissue-Doppler imaging tricuspid/mitral annular peak systolic velocities (ST/SM) (RAP × ST/SM) reliably predicts elevated PCWP. We sought to investigate its clinical usefulness for predicting elevated PCWP in heart failure (HF) patients. Ninety-eight patients admitted with HF who underwent right heart catheterization were prospectively studied. RAP and PCWP were measured by right heart catheterization. Simultaneously, ST/SM, early diastolic transmitral flow velocity to mitral annular velocity ratio (E/Ea), and diameter of inferior vena cava at inspiration (IVCDi), a noninvasive surrogate for RAP, were measured by echocardiography. RAP correlated with IVCDi (R2 = 0.57). A significantly stronger correlation was observed between IVCDi corrected by ST/SM (IVCDi × ST/SM) and PCWP than between E/Ea and PCWP (R2 = 0.47 vs 0.18). Receiver-operating characteristic analyses indicated that IVCDi × ST/SM >16 mm predicted PCWP >18 mm Hg with 90% sensitivity and 77% specificity, and the area under the curve was 0.86, which was significantly larger than that of E/Ea (area under the curve=0.72). In conclusions, IVCDi × ST/SM is a new useful noninvasive model to predict elevated PCWP in HF patients.
    [Abstract] [Full Text] [Related] [New Search]