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Multimodality assessment of high- vs. low-gradient aortic stenosis using echocardiography and cardiac CT.
Zeb, Irfan; Uqaily, Raafay; Gonuguntla, Karthik; Ludhwani, Dipesh; Abdelhaleem, Ahmed; Leipsic, Jonathon; Hahn, Rebecca T; Pibarot, Philippe; Sankaramangalam, Kesavan; Kuzhandai, Dhivya; Sattar, Yasar; Raina, Sameer; Sudarshan, Balla; Kawsara, Mohammad; Hamirani, Yasmin; Daggubati, Ramesh.
Afiliación
  • Zeb I; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA. Electronic address: irfan.zeb@hsc.wvu.edu.
  • Uqaily R; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Gonuguntla K; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Ludhwani D; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Abdelhaleem A; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Leipsic J; University of British Columbia, Vancouver, Canada.
  • Hahn RT; Columbia University Irving Medical Center, New York, NY, USA.
  • Pibarot P; Quebec Heart and Lung Institute, Quebec, Canada.
  • Sankaramangalam K; East Carolina University, Greenville, NC, USA.
  • Kuzhandai D; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Sattar Y; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Raina S; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Sudarshan B; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Kawsara M; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Hamirani Y; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
  • Daggubati R; Heart & Vascular Institute at West Virginia University, Morgantown, WV, USA.
J Cardiovasc Comput Tomogr ; 17(6): 421-428, 2023.
Article en En | MEDLINE | ID: mdl-37806845
ABSTRACT

BACKGROUND:

Aortic valve area (AVA) using CT-LVOT area (AVACT-LVOT) <1.2 â€‹cm2 has been shown comparable to echocardiography AVA of <1.0 â€‹cm2 for severe aortic stenosis (AS). Current study evaluates how AS diagnosis will be affected when we substitute CT-LVOT with echo derived LVOT.

METHODS:

We retrospectively studied 367 patients who underwent cardiac CTA and echocardiogram for assessment of high- and low-gradient AS (HG-AS and LG-AS). AVACT-LVOT was derived from CT-LVOT area and echo doppler data. Three AVACT-LVOT categories were created (<1.0, 1.0-1.2 and â€‹> â€‹1.2 â€‹cm2). Outcomes were defined as composite of all-cause mortality and/or valve intervention.

RESULTS:

Median echocardiographic profiles were consistent with severe AS across three AVACT-LVOT categories for HG-AS. HG-AS patients with AVACT-LVOT >1.2 â€‹cm2 had larger median CT-LVOT area (5.06 â€‹cm2) and AVC (2917AU). Among LG-AS with AVACT-LVOT â€‹≤1.2 cm2, 57% met echo criteria for low-flow LG-AS and 63% met criteria for severe AS using aortic valve calcium (AVC). Additionally, 45% with AVACT-LVOT >1.2 â€‹cm2 had larger median CT-LVOT area (5.43 â€‹cm2) and AVC (2389AU). Patients with AVACT-LVOT >1.2 â€‹cm2 and high AVC had large body surface area and were mostly characterized as severe with indexed AVA and AVC. Stroke volume index using CT-LVOT reclassified 70% of low-flow, LG-AS as normal flow, LG-AS. Composite outcomes were higher among patients with AVACT-LVOT ≤1.2 â€‹cm2 (p â€‹< â€‹0.01), however, with no superior net reclassification improvement compared to AVAecho <1.0 â€‹cm2.

CONCLUSION:

AVACT-LVOT ≤1.2 â€‹cm2 is a reasonable CT criterion for severe AS. Large LVOT with elevated AVC identified a severe AS phenotype despite an AVACT-LVOT >1.2 â€‹cm2, best characterized by indexed AVA and AVC.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estenosis de la Válvula Aórtica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estenosis de la Válvula Aórtica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article