The Role of Comorbidities in Predicting Functional Improvement After Transcatheter Aortic Valve Implantation.

BACKGROUND: Patients undergoing transcatheter aortic valve implantation (TAVI) have a high comorbidity burden. We sought to stratify patients into functional outcomes using the Kansas City Cardiomyopathy Questionnaire (KCCQ-12), a patient-reported outcome with benefits over both the New York Heart Association (NYHA) classification and the original 23-item KCCQ, and to evaluate the importance of comorbidities in predicting failure of functional improvement post-TAVI in a contemporary cohort. METHODS: In total, 366 patients with severe aortic stenosis undergoing TAVI with baseline KCCQ-12 were retrospectively analysed and divided into two groups. Failure to improve was defined as a score <60 and a change in score <10 at 1 year in either overall score (KCCQ-OS) or clinical summary score (KCCQ-CSS). RESULTS: Failure to improve was noted in 13% of patients, who were more likely to have lower KCCQ-OS at baseline (47 [35-59] vs 56 [42-74]), chronic obstructive pulmonary disease (COPD) (19% vs 8%), severe chronic kidney disease (CKD) (13% vs 2%), a clinical frailty score (CFS) ≥5 (41% vs 14%), and lower serum albumin (36 g/L [34-38] vs 38 g/L [35-40]). On multivariate analysis, with an area under the curve of 0.71 (0.63-0.78), baseline KCCQ-OS (adjusted odds ratio [aOR] 0.3 [0.1-0.6], p=0.04), COPD (aOR 2.8 [1.2-6.5], p=0.02), and severe CKD (aOR 5.7 [1.7-18.5], p=0.004) remained independent predictors. CFS alone had a similar predictive value as the multivariable model (OR 2.0 [1.3-3.4], area under the curve 0.69 [0.59-0.80], p<0.001). CONCLUSIONS: KCCQ scores were effective in delineating functional outcomes, with most patients in our relatively lower surgical risk cohort showing significant functional improvements post-TAVI. Low baseline KCCQ, moderate or worse COPD, and severe CKD were associated with failure of improvement post-TAVI. Baseline CFS appears to be a good screening tool to predict poor improvement. These factors should be evaluated and weighted accordingly in pre-TAVI assessments and decision-making.

Coronary Artery Disease Risk Prediction in Patients With Severe Aortic Stenosis: Development and Validation of the Aortic Stenosis-Coronary Artery Disease (AS-CAD) Score.

Patients at a low risk of coronary artery disease (CAD) could be triaged to noninvasive coronary computed tomography angiogram instead of invasive coronary angiography, reducing health care costs and patient morbidity. Therefore, we aimed to develop a CAD risk prediction score to identify those who underwent transcatheter aortic valve implantation (TAVI) at a low risk of CAD. We enrolled 1,782 patients who underwent TAVI and randomized the patients to the derivation or validation cohort 2:1. The aortic stenosis-CAD (AS-CAD) score was developed using logistic regression, followed by separation into low- (score 0 to 5), intermediate- (6 to 10), or high-risk (>11) categories. The AS-CAD was validated initially through the k-fold cross-validation, followed by a separately held validation cohort. The average age of the cohort was 82 ± 7 years, and 41% (730 of 1,782) were female; 35% (630) had CAD. The male sex, previous percutaneous coronary intervention, stroke, peripheral arterial disease, diabetes, smoking status, left ventricular ejection fraction <50%, and right ventricular systolic pressure >35 mm Hg were all associated with an increased risk of CAD and were included in the final AS-CAD model (all p <0.03). Within the validation cohort, the AS-CAD score stratified those into low, intermediate, and high risk of CAD (p <0.001). Discrimination was good within the internal validation cohort, with a c-statistic of 0.79 (95% confidence interval 0.74 to 0.84), with similar power obtained using k-fold cross-validation (c-statistic 0.74 [95% confidence interval 0.70 to 0.77]). In conclusion, The AS-CAD score robustly identified those at a low risk of CAD in patients with severe AS. The use of AS-CAD in practice could avoid potential complications of invasive coronary angiogram by triaging low-risk patients to noninvasive coronary assessment using existing computed tomography data.

Left atrial enlargement is associated with pulmonary vascular disease in heart failure with preserved ejection fraction.

AIMS: Elevated left atrial (LA) pressure is a pathophysiologic hallmark of heart failure with preserved ejection fraction (HFpEF). Chronically elevated LA pressure leads to LA enlargement, which may impair LA function and increase pulmonary pressures. We sought to evaluate the relationship between LA volume and pulmonary arterial haemodynamics in patients with HFpEF. METHODS AND RESULTS: Data from 85 patients (aged 69 ± 8 years) who underwent exercise right heart catheterization and echocardiography were retrospectively analysed. All had symptoms of heart failure, left ventricular ejection fraction ≥50% and haemodynamic features of HFpEF. Patients were divided into LA volume index-based tertiles (≤34 ml/m2 , >34 to ≤45 ml/m2 , >45 ml/m2 ). A subgroup analysis was performed in patients with recorded LA global reservoir strain (n = 60), with reduced strain defined as ≤24%. Age, sex, body surface area and left ventricular ejection fraction were similar between volume groups. LA volume was associated with blunted increases in cardiac output with exercise (padjusted <0.001), higher resting mean pulmonary artery pressure (padjusted  = 0.003), with similar wedge pressure (padjusted  = 1). Pulmonary vascular resistance (PVR) increased with increasing LA volume (padjusted <0.001). Larger LA volumes featured reduced LA strain (padjusted <0.001), with reduced strain associated with reduced PVR-compliance time (0.34 [0.28-0.40] vs. 0.38 [0.33-0.43], p = 0.03). CONCLUSION: Increasing LA volume may be associated with more advanced pulmonary vascular disease in HFpEF, featuring higher PVR and pulmonary pressures. Reduced LA function, worse at increasing LA volumes, is associated with a disrupted PVR-compliance relationship, further augmenting impaired pulmonary haemodynamics.

Management of heart failure with preserved ejection fraction.

Heart failure with preserved ejection fraction is a highly heterogenous disease. There is emerging evidence that treatment should be tailored to the individual's associated comorbidities No current algorithms exist for the management of heart failure with preserved ejection fraction. Conventional therapies used in heart failure with reduced ejection fraction are yet to show a mortality benefit Key treatment objectives include control of hypertension and fluid balance Common comorbidities include coronary artery disease, atrial fibrillation, obesity, diabetes, renal impairment and pulmonary hypertension. These comorbidities should be considered in all patients and treatment optimised