Validation of the 2016 ASE/EACVI Guideline for Diastolic Dysfunction in Patients With Unexplained Dyspnea and a Preserved Left Ventricular Ejection Fraction.
Arno A van de BovenkampVidya EnaitFrances S de ManFrank T P OosterveerHarm Jan BogaardAnton Vonk NoordegraafAlbert C van RossumM Louis HandokoPublished in: Journal of the American Heart Association (2021)
Background Echocardiography is considered the cornerstone of the diagnostic workup of heart failure with preserved ejection fraction. Thus far, validation of the 2016 American Society of Echocardiography/European Association of Cardiovascular Imaging (ASE/EACVI) echo-algorithm for evaluation of diastolic (dys)function in a patient suspected of heart failure with preserved ejection fraction has been limited. Methods and Results The diagnostic performance of the 2016 ASE/EACVI algorithm was assessed in 204 patients evaluated for unexplained dyspnea or pulmonary hypertension with echocardiogram and right heart catheterization. Invasively measured pulmonary capillary wedge pressure (PCWP) was used as the gold standard. In addition, the diagnostic performance of H2FPEF score and NT-proBNP (N-terminal pro-B-type natriuretic peptide) were evaluated. There was a poor correlation between indexed left atrial volume, E/e' (septal and average) or early mitral inflow (E), and PCWP (r=0.25-0.30, P values all <0.01). No correlation was found in our cohort between e' (septal or lateral) or tricuspid valve regurgitation and PCWP. The correlation between diastolic function grades of the ASE/EACVI algorithm and PCWP was poor (r=0.17, P<0.05). The ASE/EACVI algorithm had a sensitivity and specificity of 35% and 87%, respectively; an accuracy of 67% and an area under the curve of 0.56. Moreover, in 30% of cases the algorithm was not applicable or indeterminate. H2FPEF score had a modest correlation with PCWP (r=0.44, P<0.0001), and accuracy was 73%; NT-proBNP correlated weakly with PCWP (r=0.24, P<0.001), and accuracy was 57%. Conclusions The 2016 ASE/EACVI algorithm for the assessment of diastolic function has a limited diagnostic accuracy in patients evaluated for unexplained dyspnea and/or pulmonary hypertension, and especially sensitivity to detect diastolic dysfunction was low.
Keyphrases
- ejection fraction
- aortic stenosis
- left ventricular
- pulmonary hypertension
- left atrial
- mitral valve
- hypertrophic cardiomyopathy
- machine learning
- deep learning
- heart failure
- cardiac resynchronization therapy
- acute myocardial infarction
- end stage renal disease
- blood pressure
- pulmonary arterial hypertension
- atrial fibrillation
- newly diagnosed
- neural network
- high resolution
- magnetic resonance
- magnetic resonance imaging
- aortic valve
- minimally invasive
- case report
- acute coronary syndrome
- photodynamic therapy
- diffusion weighted
- coronary artery
- mass spectrometry
- pulmonary embolism
- percutaneous coronary intervention