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The robustness of the flow-gradient classification of severe aortic stenosis.
Velders, Bart J J; Vriesendorp, Michiel D; Asch, Federico M; Moront, Michael G; Dagenais, Francois; Reardon, Michael J; Sabik Iii, Joseph F; Groenwold, Rolf H H; Klautz, Robert J M.
Afiliação
  • Velders BJJ; Cardiothoracic Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • Vriesendorp MD; Cardiothoracic Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • Asch FM; Cardiovascular Core Laboratories, MedStar Health Research Institute, Georgetown University, Washington, DC.
  • Moront MG; Cardiothoracic Surgery, ProMedica Toledo Hospital, Toledo, Ohio.
  • Dagenais F; Cardiac Surgery, Quebec Heart and Lung Institute, Quebec City, Quebec, Canada.
  • Reardon MJ; Cardiovascular Surgery, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex.
  • Sabik Iii JF; Surgery, University Hospitals Cleveland Medical Center and Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Groenwold RHH; Clinical Epidemiology & Biomedical Data Science, Leiden University Medical Center, Leiden, The Netherlands.
  • Klautz RJM; Cardiothoracic Surgery, Leiden University Medical Center, Leiden, The Netherlands.
JTCVS Open ; 16: 177-188, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38204672
ABSTRACT

Objectives:

A flow-gradient classification is used to determine the indication for intervention for patients with severe aortic stenosis (AS) with discordant echocardiographic parameters. We investigated the agreement in flow-gradient classification by stroke volume (SV) measurement at the left ventricular outflow tract (LVOT) and at the left ventricle.

Methods:

Data were used from a prospective cohort study and patients with severe AS (aortic valve area index ≤0.6 cm2/m2) with preserved ejection fraction (>50%) were selected. SV was determined by an echocardiographic core laboratory at the LVOT and by subtracting the 2-dimensional left ventricle end-systolic from the end-diastolic volume (volumetric). Patients were stratified into 4 groups based on SV index (35 mL/m2) and mean gradient (40 mm Hg). The group composition was compared and the agreement between the SV measurements was investigated using regression, correlation, and limits of agreement. In addition, a systematic LVOT diameter overestimation of 1 mm was simulated to study flow-gradient reclassification.

Results:

Of 1118 patients, 699 were eligible. The group composition changed considerably as agreement on flow state occurred in only 50% of the measurements. LVOT SV was on average 15.1 mL (95% limits of agreement -24.955.1 mL) greater than volumetric SV. When a systematic 1-mm LVOT diameter overestimation was introduced, the low-flow groups halved.

Conclusions:

There was poor agreement in the flow-gradient classification of severe AS as a result of large differences between LVOT and volumetric SV. Furthermore, this classification was sensitive to small measurement errors. These results stress that parameters beyond the flow-gradient classification should be considered to ensure accurate recommendations for intervention.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: JTCVS Open / JTCVS open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: JTCVS Open / JTCVS open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda