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The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity.
Gal, Dana B; Lechich, Kirstie M; Jensen, Hanna K; Millett, Paul C; Bolin, Elijah; Daily, Joshua; Jack, Justin T; Stephens, Sam; Jensen, Morten O; Collins, R Thomas.
Afiliación
  • Gal DB; The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Lechich KM; Lucile Packard Children's Hospital, Palo Alto, California.
  • Jensen HK; Department of Surgery.
  • Millett PC; College of Engineering, University of Arkansas Fayetteville, Arkansas.
  • Bolin E; Department of Pediatrics; University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Daily J; Department of Pediatrics; University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Jack JT; College of Engineering, University of Arkansas Fayetteville, Arkansas.
  • Stephens S; College of Engineering, University of Arkansas Fayetteville, Arkansas.
  • Jensen MO; College of Engineering, University of Arkansas Fayetteville, Arkansas.
  • Collins RT; Division of Pediatric Cardiology, Stanford University School of Medicine, Stanford, California; Lucile Packard Children's Hospital, Palo Alto, California. Electronic address: tomcollins@stanford.edu.
Am J Cardiol ; 164: 118-122, 2022 02 01.
Article en En | MEDLINE | ID: mdl-34815057
Supravalvar aortic stenosis (SVAS) severity guides management, including decisions for surgery. Physiologic and technical factors limit the determination of SVAS severity by Doppler echocardiography and cardiac catheterization in Williams syndrome (WS). We hypothesized SVAS severity could be determined by the sinotubular junction-to-aortic annulus ratio (STJ:An). We reviewed all preintervention echocardiograms in patients with WS with SVAS cared for at our center. We measured STJ, An, peak and mean Doppler gradients, and calculated STJ:An. We created 2 mean gradient prediction models. Model 1 used the simplified Bernoulli's equation, and model 2 used computational fluid dynamics (CFD). We compared STJ:An to Doppler-derived and CFD gradients. We reviewed catheterization gradients and the waveforms and analyzed gradient variability. We analyzed 168 echocardiograms in 54 children (58% male, median age at scan 1.2 years, interquartile range [IQR] 0.5 to 3.6, median echocardiograms 2, IQR 1 to 4). Median SVAS peak Doppler gradient was 24 mm Hg (IQR 14 to 46.5). Median SVAS mean Doppler gradient was 11 mm Hg (IQR 6 to 21). Median STJ:An was 0.76 (IQR 0.63 to 0.84). Model 1 underpredicted clinical gradients. Model 2 correlated well with STJ:An through all severity ranges and demonstrated increased pressure recovery distance with decreased STJ:An. The median potential variability in catheterization-derived gradients in a given patient was 14.5 mm Hg (IQR 7.5 to 19.3). SVAS severity in WS can be accurately assessed using STJ:An. CFD predicts clinical data well through all SVAS severity levels. STJ:An is independent of physiologic state and has fewer technical limitations than Doppler echocardiography and catheterization. STJ:An could augment traditional methods in guiding surgical management decisions.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aorta / Válvula Aórtica / Seno Aórtico / Estenosis Aórtica Supravalvular Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Am J Cardiol Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aorta / Válvula Aórtica / Seno Aórtico / Estenosis Aórtica Supravalvular Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Am J Cardiol Año: 2022 Tipo del documento: Article