Echocardiographic evaluation of left ventricular filling pressures in patients with pulmonary hypertension.
Hong RanMatthias Schneider-ReigbertAnna Maria PistrittoChristian GergesHoutan HeidariThomas BinderIrene LangGeorg GoliaschPublished in: The international journal of cardiovascular imaging (2019)
Echocardiographic assessment of diastolic dysfunction depends on surrogate parameters. In recent years, guideline committees attempted to combine these parameters to diagnostic flowcharts allowing for correct classification of left ventricular filling pressures (LVFP). The value of these diagnostic tools is limited if the applied surrogate parameters are elevated due to other reasons as is the case with maximal tricuspid regurgitation velocity. We aimed to compare the accuracy of the 2009 and the 2016 guideline recommendations in patients with pulmonary hypertension (PH). We included 101 consecutive patients who underwent right heart catheterization and transthoracic echocardiography for suspicion of PH. For the final analysis, only patients with PH were considered. The 2009 and 2016 recommendations for the assessment of diastolic function by echocardiography were applied on each patient. A total of 63 PH patients were included in the final analysis, 43% had elevated LVFP. By using the 2009 recommendations, sensitivity for correct classification of diastolic dysfunction was 67%, specificity was 82%, area under the curve (AUC) was 0.74. By using the 2016 recommendations, sensitivity for correct classification of diastolic dysfunction was 84%, specificity was 80%, AUC was 0.82. In ROC comparison, the AUC for the 2016 recommendations with 0.82 was significantly better compared to the AUC of 0.74 for the 2009 recommendations (p = 0.04). Our study demonstrates that the 2016 recommendations for echocardiographic evaluation of diastolic function are superior to the 2009 recommendations in estimating left ventricular filling pressures in patients with PH.
Keyphrases
- left ventricular
- ejection fraction
- aortic stenosis
- pulmonary hypertension
- hypertrophic cardiomyopathy
- mitral valve
- heart failure
- clinical practice
- cardiac resynchronization therapy
- acute myocardial infarction
- left atrial
- end stage renal disease
- machine learning
- deep learning
- newly diagnosed
- blood pressure
- oxidative stress
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- case report
- pulmonary artery
- pulmonary arterial hypertension
- computed tomography
- coronary artery disease
- body composition
- resistance training
- blood flow