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Abnormal aortic flow profiles persist after aortic valve replacement in the majority of patients with aortic valve disease: how model-based personalized therapy planning could improve results. A pilot study approach.
Nordmeyer, Sarah; Hellmeier, Florian; Yevtushenko, Pavel; Kelm, Marcus; Lee, Chong-Bin; Lehmann, Daniel; Kropf, Siegfried; Berger, Felix; Falk, Volkmar; Knosalla, Christoph; Kuehne, Titus; Goubergrits, Leonid.
Afiliación
  • Nordmeyer S; Department of Congenital Heart Disease and Paediatric Cardiology, German Heart Center Berlin, Berlin, Germany.
  • Hellmeier F; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Yevtushenko P; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Kelm M; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Lee CB; Department of Congenital Heart Disease and Paediatric Cardiology, German Heart Center Berlin, Berlin, Germany.
  • Lehmann D; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Kropf S; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Berger F; Institute for Gender in Medicine, Center for Cardiovascular Research, Berlin, Germany.
  • Falk V; Institute for Biometrics and Medical Informatics, Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany.
  • Knosalla C; Department of Congenital Heart Disease and Paediatric Cardiology, German Heart Center Berlin, Berlin, Germany.
  • Kuehne T; DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
  • Goubergrits L; DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
Eur J Cardiothorac Surg ; 57(1): 133-141, 2020 01 01.
Article en En | MEDLINE | ID: mdl-31131388
ABSTRACT

OBJECTIVES:

Complex blood flow profiles in the aorta are known to contribute to vessel dilatation. We studied flow profiles in the aorta in patients with aortic valve disease before and after surgical aortic valve replacement (AVR).

METHODS:

Thirty-four patients with aortic valve disease underwent 4-dimensional velocity-encoded magnetic resonance imaging before and after AVR (biological valve = 27, mechanical valve = 7). Seven healthy volunteers served as controls. Eccentricity (ES) and complex flow scores (CFS) were determined from the degree of helicity, vorticity and eccentricity of flow profiles in the aorta. Model-based therapy planning was used in 4 cases to improve in silico postoperative flow profiles by personalized adjustment of size, rotation and angulation of the valve as well as aorta diameter.

RESULTS:

Patients with aortic valve disease showed more complex flow than controls [median ES 2.5 (interquartile range (IQR) 2.3-2.7) vs 1.0 (IQR 1.0-1.0), P < 0.001, median CFS 4.7 (IQR 4.3-4.8) vs 1.0 (IQR 1.0-2.0), P < 0.001]. After surgery, flow complexity in the total patient cohort was reduced, but remained significantly higher compared to controls [median ES 2.3 (IQR 1.9-2.3) vs 1.0 (IQR 1.0-1.0), P < 0.001, median CFS 3.8 (IQR 3.0-4.3) vs 1.0 (IQR 1.0-2.0), P < 0.001]. In patients after mechanical AVR, flow complexity fell substantially and showed no difference from controls [median ES 1.0 (IQR 1.0-2.3) vs 1.0 (IQR 1.0-1.0), P = 0.46, median CFS 1.0 (IQR 1.0-3.3) vs 1.0 (IQR 1.0-2.0), P = 0.71]. In all 4 selected cases (biological, n = 2; mechanical, n = 2), model-based therapy planning reduced in silico complexity of flow profiles compared to the existing post-surgical findings [median ES 1.7 (IQR 1.4-1.7) vs 2.3 (IQR 2.3-2.3); CFS 1.7 (IQR 1.4-2.5) vs 3.8 (IQR 3.3-4.3)].

CONCLUSIONS:

Abnormal flow profiles in the aorta more frequently persist after surgical AVR. Model-based therapy planning might have the potential to optimize treatment for best possible individual outcome. CLINICAL TRIAL REGISTRATION NUMBER clinicaltrials.gov NCT03172338, 1 June 2017, retrospectively registered; NCT02591940, 30 October 2015, retrospectively registered.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Prótesis Valvulares Cardíacas / Implantación de Prótesis de Válvulas Cardíacas / Enfermedad de la Válvula Aórtica Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Cardiothorac Surg Asunto de la revista: CARDIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Prótesis Valvulares Cardíacas / Implantación de Prótesis de Válvulas Cardíacas / Enfermedad de la Válvula Aórtica Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Cardiothorac Surg Asunto de la revista: CARDIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Alemania