The intra- and inter-rater agreement of superior vena cava flow and right ventricular outflow measurements in late preterm and term infants

Mahoney, L., Fernandez-Alvarez, J.R., Rojas-Anaya, H., Aiton, N., Wertheim, D., Seddon, P. and Rabe, H. (2018) The intra- and inter-rater agreement of superior vena cava flow and right ventricular outflow measurements in late preterm and term infants. Journal of Ultrasound in Medicine, 37(9), pp. 2181-2190. ISSN (print) 0278-4297

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Abstract

OBJECTIVES: To explore the intra- and inter-rater agreement of superior vena cava (SVC) flow and right ventricular (RV) outflow in healthy and unwell late preterm neonates (33-37 weeks' gestational age), term neonates (≥37 weeks' gestational age), and neonates receiving total-body cooling. METHODS: The intra- and inter-rater agreement (n = 25 and 41 neonates, respectively) rates for SVC flow and RV outflow were determined by echocardiography in healthy and unwell late preterm and term neonates with the use of Bland-Altman plots, the repeatability coefficient, the repeatability index, and intraclass correlation coefficients. RESULTS: The intra-rater repeatability index values were 41% for SVC flow and 31% for RV outflow, with intraclass correlation coefficients indicating good agreement for both measures. The inter-rater repeatability index values for SVC flow and RV outflow were 63% and 51%, respectively, with intraclass correlation coefficients indicating moderate agreement for both measures. CONCLUSIONS: If SVC flow or RV outflow is used in the hemodynamic treatment of neonates, sequential measurements should ideally be performed by the same clinician to reduce potential variability.

Item Type: Article
Additional Information: The preliminary results of this study were presented at the 1st Congress of joint European Neonatal Societies, Budapest, Hungary (September 16th-20th, 2015). This work was supported by an EU FP 7 grant (NEO-CIRCulation grant no. 359 282533) and the Rockinghorse Charity, Brighton, UK.
Research Area: Biological sciences
Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
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Depositing User: Katrina Clifford
Date Deposited: 10 Feb 2018 11:40
Last Modified: 24 Feb 2019 03:08
DOI: https://doi.org/10.1002/jum.14568
URI: http://eprints.kingston.ac.uk/id/eprint/40582

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