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Marigliano AN, Ortiz JT, Casas J, Evangelista A. Aortic Regurgitation: From Valvular to Myocardial Dysfunction. J Clin Med 2024; 13:2929. [PMID: 38792470 PMCID: PMC11122337 DOI: 10.3390/jcm13102929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/26/2024] Open
Abstract
Chronic aortic regurgitation (AR) leads to volume overload in the left ventricle (LV), which is well tolerated for years. In this condition, the LV usually dilates with minimal reduction in the ejection fraction (EF), even in the absence of symptoms. Echocardiography is the primary imaging test used to quantify AR. However, no single assessment of Doppler measures is accurate and precise in individual patients; therefore, the integration of multiple parameters is necessary. Recent guidelines recommend surgical treatment for severe AR in patients who are symptomatic or have an LVEF < 55% and an end-systolic diameter > 50 mm. Nevertheless, advances in imaging technology have improved the quantification of AR and the assessment of LV subclinical dysfunction. It is widely recognized that patients who undergo aortic valve replacement/repair (AVR) due to symptoms or a low LVEF experience worse outcomes than those undergoing AVR for non-Class I indications. In fact, subclinical irreversible myocardial damage may occur in clinically well-compensated and closely monitored patients while awaiting formal surgical indications. This condition could be prevented by the use of multimodal imaging parameters, in particular longitudinal LV strain and magnetic resonance imaging. In addition, better cut-off values for mortality predictors should be established. This review aims to identify simple models that integrate several echocardiographic and cardiac magnetic resonance-derived parameters to predict the optimal timing of surgical treatment in asymptomatic patients with chronic severe AR.
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Affiliation(s)
- Alba-Nidia Marigliano
- Heart Institute, Teknon Medical Center, 08022 Barcelona, Spain; (A.-N.M.); (J.-T.O.)
| | - José-Tomas Ortiz
- Heart Institute, Teknon Medical Center, 08022 Barcelona, Spain; (A.-N.M.); (J.-T.O.)
| | - Jorge Casas
- Instituto Cedic, Bahía Blanca B8000, Argentina;
| | - Arturo Evangelista
- Heart Institute, Teknon Medical Center, 08022 Barcelona, Spain; (A.-N.M.); (J.-T.O.)
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Di Maria MV, Cohen MS, Harris MA, Fogel MA, Whitehead KK. Doppler-derived flow pattern in the descending aorta does not predict systemic to pulmonary arterial collateral flow in patients with single ventricle palliation: a cross-sectional study. World J Pediatr Congenit Heart Surg 2015; 6:209-14. [PMID: 25870339 DOI: 10.1177/2150135114563937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Children with single ventricle heart disease are at risk for developing systemic to pulmonary arterial collateral vessels that adversely impact short-term outcomes, although the effect on long-term outcomes remains unclear. Collateral flow (CollF) can be quantified using cardiac magnetic resonance (CMR) flow quantification. The velocity-time integral (VTI), obtained from spectral Doppler tracings, has been used in "runoff" lesions like aortic regurgitation to quantify insufficiency. We hypothesized that the VTI ratio of the proximal descending aorta (DAo) after cavopulmonary anastomosis (CPA) would estimate CollF. METHODS A retrospective cross-sectional study was conducted. Patients who had a superior CPA or total CPA and underwent CMR between April 2008 and December 2012 were included. Those with greater than trivial semilunar valve insufficiency or aortic arch obstruction were excluded. In a subset (n = 88), spectral Doppler tracings of the DAo were analyzed to determine the VTI ratio. In another subset (n = 112), CMR was used to determine the ratio of retrograde to antegrade flow in the DAo. RESULTS There was no linear correlation between VTI ratio and CollF (r (2) = .006, P = .46). There was a weakly positive correlation with CollF (r (2) = .07, P = .007) and the CMR measured ratio of retrograde to antegrade flow. Holodiastolic flow reversal by echo did not predict higher CollF (P = .40), but those with holodiastolic flow reversal by CMR had significantly higher CollF (P = .04). CONCLUSIONS The ratio of reverse to forward flow in the DAo as determined by Doppler echo does not accurately reflect CollF in children with single ventricle after CPA.
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Affiliation(s)
- Michael V Di Maria
- Children's Hospital Colorado Heart Institute, University of Colorado School of Medicine, Aurora, CO, USA
| | - Meryl S Cohen
- Division of Pediatric Cardiology, The Cardiac Center, The Children's Hospital of Philadelphia, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew A Harris
- Division of Pediatric Cardiology, The Cardiac Center, The Children's Hospital of Philadelphia, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Mark A Fogel
- Division of Pediatric Cardiology, The Cardiac Center, The Children's Hospital of Philadelphia, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin K Whitehead
- Division of Pediatric Cardiology, The Cardiac Center, The Children's Hospital of Philadelphia, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Harloff A, Simon J, Brendecke S, Assefa D, Helbing T, Frydrychowicz A, Weber J, Olschewski M, Strecker C, Hennig J, Weiller C, Markl M. Complex Plaques in the Proximal Descending Aorta. Stroke 2010; 41:1145-50. [PMID: 20431080 DOI: 10.1161/strokeaha.109.577775] [Citation(s) in RCA: 104] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
To investigate the incidence of retrograde flow from complex plaques (≥4-mm-thick, ulcerated, or superimposed thrombi) of the descending aorta (DAo) and its potential role in embolic stroke.
Methods—
Ninety-four consecutive acute stroke patients with aortic plaques ≥3-mm-thick in transesophageal echocardiography were prospectively included. MRI was performed to localize complex plaques and to measure time-resolved 3-dimensional blood flow within the aorta. Three-dimensional visualization was used to evaluate if diastolic retrograde flow connected plaque location with the outlet of the left subclavian artery, left common carotid artery, or brachiocephalic trunk. Complex DAo plaques were considered an embolic source if retrograde flow reached a supra-aortic vessel that supplied the territory of visible acute and embolic retinal or cerebral infarction.
Results—
Only decreasing heart rate was correlated
(P
<0.02) with increasing flow reversal to the aortic arch. Retrograde flow from complex DAo plaques reached the left subclavian artery in 55 (58.5%), the left common carotid artery in 23 (24.5%), and the brachiocephalic trunk in 13 patients (13.8%). Based on routine diagnostics and MRI of the ascending aorta/aortic arch, stroke etiology was determined in 57 and cryptogenic in 37 patients. Potential embolization from DAo plaques was then identified in 19 of 57 patients (33.3%) with determined and in 9 of 37 patients (24.3%) with cryptogenic stroke.
Conclusions—
Retrograde flow from complex DAo plaques was frequent in both determined and cryptogenic stroke and could explain embolism to all brain territories. These findings suggest that complex DAo plaques should be considered a new source of stroke.
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Affiliation(s)
- Andreas Harloff
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Jan Simon
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Stefanie Brendecke
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Dawit Assefa
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Thomas Helbing
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Alex Frydrychowicz
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Johannes Weber
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Manfred Olschewski
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Christoph Strecker
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Jürgen Hennig
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Cornelius Weiller
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
| | - Michael Markl
- From Department of Neurology (A.H., J.S., S.B., C.S., C.W.), Department of Cardiology and Angiology (D.A., T.H.), Department of Diagnostic Radiology Medical Physics (A.F., J.H., M.M.), Department of Neuroradiology (J.W.), University Hospital Freiburg, Freiburg, Germany; Institute of Medical Biometrics and Statistics (M.O.), University of Freiburg, Freiburg, Germany
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Onbasili OA, Tekten T, Ceyhan C, Ercan E, Mutlu B. A new echocardiographic method for the assessment of the severity of aortic regurgitation: color M-mode flow propagation velocity. J Am Soc Echocardiogr 2002; 15:1453-60. [PMID: 12464911 DOI: 10.1067/mje.2002.126419] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE Echocardiographic Doppler methods widely used in assessment of the severity of aortic regurgitation (AR) are considered sensitive and reliable. However, they all have limitations for quantitation of AR. The color M-mode Doppler flow propagation velocity (FPV) method has been shown to provide useful insights in the evaluation of left ventricular diastolic function and appears to be minimally affected with preload changes. Clinical data regarding the value of FPV in the determination of the significance of valvular insuffiencies are lacking. The purpose of this study was to evaluate the use of FPV in measurement of the severity of AR and to compare its reliability with angiography and other echocardiographic methods. METHODS Twenty-nine patients (13 male, 16 female) who had cardiac catheterization for various reasons before echocardiographic evaluation were included. The mean age was 53.6 +/- 13.4 years. At the time of cardiac catheterization, the degree of AR was assessed as mild in 10 patients, as moderate in 12, and as severe in 7. In all patients, FPV measurements of AR were obtained with color M-mode Doppler in the apical 5-chamber view. Regurgitation jet height and its ratio to left ventricular outflow obtained in the parasternal long axis with color flow Doppler, pressure half-time, and slope of AR obtained with continuous wave Doppler in apical 5-chamber view were other echocardiographic methods chosen for comparison. RESULTS The mean values of FPV were 93.1 +/- 18.4 cm/s, 49.8 +/- 8.0 cm/s, and 31.7 +/- 4.9 cm/s in severe, moderate, and mild AR groups, respectively (P <.001). Significant correlation was observed between angiographic grades, FPV, pressure half-time, slope, and jet height and ratio to left ventricular outflow (P <.0001, r = 0.93; P <.0001, r = -0.81; P <.0001, r = 0.76; P <.0001, r = 0.92, respectively). CONCLUSION FPV is a simple, practical, and reliable method for the quantification of AR.
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Affiliation(s)
- Osman Alper Onbasili
- Department of Cardiology, School of Medicine, Adnan Menderes University, Aydin, Turkey
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