A modified echocardiographic approach improves reliability of superior vena caval flow quantification

作者:Ficial Benjamim*; Bonafiglia Elena; Padovani Ezio M; Prioli Maria A; Finnemore Anna E; Cox David J; Broadhouse Kathryn M; Price Anthony N; Durighel Giuliana; Groves Alan M
来源:Archives of Disease in Childhood - Fetal and Neonatal Edition, 2017, 102(1): F7-F11.
DOI:10.1136/archdischild-2015-309523

摘要

Objective To assess accuracy and repeatability of a modified echocardiographic approach to quantify superior vena cava (SVC) flow volume that uses a short-axis view to directly measure SVC area and a suprasternal view to measure flow velocity, both at the level of the right pulmonary artery. Setting Three tertiary-level neonatal intensive care units. Design This was a multicentre, prospective, observational study. Accuracy of the traditional and modified approach was first assessed by comparing echo measurements according to both techniques with Phase contrast MRI (PCMRI) assessments, in a cohort of 10 neonates. In a second cohort of 40 neonates, intraobserver scan-rescan repeatability and interobserver analysis-reanalysis repeatability were assessed by repeated SVC flow echo measurements, according to both techniques. Results The traditional echocardiographic approach to assessment of SVC flow had a moderate agreement with PCMRI (r(2) 0.259), a scan-rescan intraobserver repeatability index (RI) of 37% (limits of agreement (LOA) -47/+51 mUkg/min) and an interobserver analysis-reanalysis RI of 31% (LOA -38/+40 mUkg/min). The modified approach showed a stronger agreement with PCMRI (r(2) 0.775), an improved intraobserver scan-rescan repeatability (RI 22%, LOA -24/+18 mL/kg/min) and improved interobserver analysis-reanalysis repeatability (RI 18%, LOA -18/+20 mUkg/min). Conclusions Echocardiographic assessment of SVC flow volume by tracing area from a short-axis view and measuring velocity time integral from a suprasternal view offered an improvement in accuracy and repeatability, building on the traditional approach previously described.

  • 出版日期2017-1