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Am J Physiol Heart Circ Physiol 288: H2504-H2511, 2005. First published December 16, 2004; doi:10.1152/ajpheart.00368.2004
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Echocardiographic assessment of aortic elastic properties with automated border detection in an ICU: in vivo application of the arctangent Langewouters model

Jan R. Heerman,1 Patrick Segers,2 Carl D. Roosens,1 Frank Gasthuys,3 Pascal R. Verdonck,2 and Jan I. Poelaert1

1Intensive Care Department, Ghent University Hospital, 2Hydraulics Laboratory, Institute of Biomedical Technology, and 3Department of Surgery and Anesthesiology of Domestic Animals, Ghent University, Ghent, Belgium

Submitted 13 May 2004 ; accepted in final form 14 December 2004

We studied whether combined pressure and transesophageal ultrasound monitoring is feasible in the intensive care unit (ICU) setting for global cardiovascular hemodynamic monitoring [systemic vascular resistance (SVR) and total arterial compliance (CPPM)] and direct estimation of local ascending and descending aortic mechanical properties, i.e., distensibility and compliance coefficients (DC and CC). Pressure-area data were fitted to the arctangent Langewouters model, with aortic cross-sectional area obtained via automated border detection. Data were measured in 19 subjects at baseline, during infusion of sodium nitroprusside (SNP), and after washout. SNP infusion lowered SVR from 1.15 ± 0.40 to 0.80 ± 0.32 mmHg·ml–1·s (P < 0.05), whereas CPPM increased from 0.87 ± 0.46 to 1.02 ± 0.42 ml/mmHg (P < 0.05). DC and CC increased from 0.0018 ± 0.0007 to 0.0025 ± 0.0009 l/mmHg (P < 0.05) and from 0.0066 ± 0.0028 to 0.0083 ± 0.0026 cm2/mmHg (P < 0.05), respectively, at the descending, but not ascending, aorta. The Langewouters model fitted the descending aorta data reasonably well. Assessment of local mechanical properties of the human ascending aorta in a clinical setting by automated border detection remains technically challenging.

afterload; large artery function; nitroprusside; coronary artery bypass grafting; intensive care unit



Address for reprint requests and other correspondence: J. Poelaert, Intensive Care Dept., Ghent Univ. Hospital, De Pintelaan 185, B-9000 Gent, Belgium (E-mail: jan.poelaert{at}ugent.be)




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