Citations

Abstract Aims Tricuspid valve regurgitation (TR) is a common valvular disease associated with increased mortality. There is a need for tools to assess the interaction between the pulmonary artery (PA) circulation and the right ventricle in patients with TR and to investigate their association with outcomes. The pulmonary artery pulsatility index (PAPi) has emerged as a haemodynamic risk predictor in left heart disease and pulmonary hypertension (PH). Whether PAPi discriminates risk in unselected patients with greater than or equal to moderate TR is unknown. Methods and results In 5079 patients with greater than or equal to moderate TR (regardless of aetiology) and PA systolic and diastolic pressures measured on their first echocardiogram, we compared all-cause mortality at 5 years based on the presence or absence of PH and PAPi levels. A total of 2741 (54%) patients had PH. The median PAPi was 3.0 (IQR 1.9, 4.4). Both the presence of PH and decreasing levels of PAPi were associated with larger right ventricles, worse right ventricular systolic function, higher NT-pro BNP levels, greater degrees of right heart failure, and worse survival. In a subset of patients who had an echo and right heart catheterization within 24 h, the correlation of non-invasive to invasive PA pressures and PAPi levels was very good (r = 0.76). Conclusion In patients with greater than or equal to moderate TR with and without PH, lower PAPi is associated with right ventricular dysfunction, right heart failure, and worse survival. Incorporating PA pressure and PAPi may help stratify disease severity in patients with greater than or equal to moderate TR regardless of aetiology.

Background Description of cerebral and retinal infarction in patients with bicuspid aortic valve (BAV) is limited to case reports. We aimed to characterize cerebral and retinal infarction and examine outcomes in patients with BAV. Methods and Results Consecutive patients from 1975 to 2015 with BAV (n=5401) were retrospectively identified from the institutional database; those with confirmed cerebral or retinal infarction were analyzed. Infarction occurring after aortic valve replacement was not included. Patients were grouped according to infarction pathogenesis: embolism from a degenerative calcific BAV (BAVi); non‐BAV, large artery atherosclerotic or lacunar infarction (LAi); and non‐BAV, non‐large artery embolic infarction (nLAi). There were 83/5401 (1.5%) patients, mean age 54±12 years and 28% female, with confirmed cerebral or retinal infarction (LAi 23/83 [28%]; nLAi 30/83 [36%]; BAVi 26/83 [31%]; other 4/83 [5%]). Infarction was embolic in 72/83 (87%), and 35/72 (49%) were cardioembolic. CHA 2 DS 2 ‐VASc score was 1.4±1.2 in BAVi ( P =0.188 versus nLAi) and 2.3±1.2 in LAi ( P =0.005). Recurrent infarction occurred in 41% overall (50% BAVi, P =0.164 and 0.803 versus LAi and nLAi). BAVi was more commonly retinal (39% BAVi versus 13% LAi, P =0.044 versus 0% nLAi, P =0.002). Patients with BAVi and LAi were more likely to have moderate‐to‐severe aortic stenosis and undergo aortic valve replacement compared with patients with nLAi. Conclusions Cardioembolism, often from degenerative calcification of the aortic valve, is a predominant cause of cerebral and retinal infarction in patients with BAV and is frequently recurrent. Cerebral and retinal infarction should be regarded as a complication of BAV.

Abstract Aims The current guidelines recommend aortic valve intervention in patients with severe aortic regurgitation (AR) with the onset of symptoms, left ventricular enlargement, or systolic dysfunction. Recent studies have suggested that we might be missing the window of early intervention in a significant number of patients by following the guidelines. Methods and results The overarching goal was to determine if machine learning (ML)-based algorithms could be trained to identify patients at risk for death from AR independent of aortic valve replacement (AVR). Models were trained with five-fold cross-validation on a dataset of 1035 patients, and performance was reported on an independent dataset of 207 patients. Optimal predictive performance was observed with a conditional random survival forest model. A subset of 19/41 variables was selected for inclusion in the final model. Variable selection was performed with 10-fold cross-validation using random survival forest model. The top variables included were age, body surface area, body mass index, diastolic blood pressure, New York Heart Association class, AVR, comorbidities, ejection fraction, end-diastolic volume, and end-systolic dimension, and the relative variable importance averaged across five splits of cross-validation in each repeat were evaluated. The concordance index for predicting survival of the best-performing model was 0.84 at 1 year, 0.86 at 2 years, and 0.87 overall, respectively. Conclusion Using common echocardiographic parameters and patient characteristics, we successfully trained multiple ML models to predict survival in patients with severe AR. This technique could be applied to identify high-risk patients who would benefit from early intervention, thereby improving patient outcomes.

Abstract Funding Acknowledgements Type of funding sources: None. Background Right heart and renal dysfunction occurring due to volume fluid redistribution remain a front-line issue in the development of the syndrome of congestion in chronic heart failure (HF). Quantitative total blood volume (TBV) measurements and Speckle-tracking Echo (STE) provide complementary information on the myocardial function which allows for providing a more integrated assessment of clinical status and outcomes. Purpose We hypothesize adverse outcomes in patients with heart failure (HF) who have expansion of TBV, right ventricular (RV) and renal dysfunction. Methods This is a prospective study and a total of 66 participants NYHA class III&IV with chronic HF are enrolled from 2014-2022. TBV, right heart catheterization, TTE, TEE, and kidney function tests is performed. STE is calculated using TomTec software for all heart chambers. Patients is divided into 1-st group of the total participants, 2-nd group is patients adverse outcomes which are heart transplant (HT) or death, 3rd group is of alive patients. Simple, multivariable linear regression analyses is used to evaluate associations between TBV, cardiac and renal function. Statistical analyses is performed using JMP, BlueSky, and two-sided with P-values <0.05 considered to be statistically. Results Of 66 patients, the 1-st group has 66 patients, the 2nd group has 44 patients out of which deceased are 32 patients (48.4%), HT has 12 patients (18.1%), and the 3rd group has 22 patients (33.3%). In the 2nd group, out of the 44 patients, 35 (79.5%) patients have HFrEF, and 9 (20.4%) patients presented HFpEF. In the 3rd group out of 22 patients, 15 (68.2%) have HFrEF, and 7 (31.8%) patients have HFpEF. RV dimensions are significantly related to TBV in all groups of participants (Table 1). In the total patients, TBV is directly correlated to a moderate degree with EDSRV (r = 0.51, P < 0.001), ESSRV (r = 0.44, P < 0.001) and FAC (r = 0.40, P < 0.001). More significant moderate and strong relationships are observed in patients with adverse outcome between TVB and EDSRV (r = 0.54, P < 0.001), ESSRV (r = 0.65, P < 0.001) and FAC (r = 0.48, P < 0.001). In group 1, weak and direct association of TBV and RV GLS, FW LS, FW LSR, and RA reservoir strain. In the 2nd group, TBV directly correlated to a moderate degree with FW LS (r = 0.41, P = 0.005) and FW LSR (r = 0.43, P = 0.002). Similar relationships in the 2nd group are observed between TBV and renal function parameters (TBV and eGFR (r = 0.53, P < 0.001)). The direct and weak correlation obtained between TBV and BUN in both 1st and 2nd groups. In patients with adverse outcomes, TBV is directly proportional to LV Diastolic BP. Conclusion The association among intravascular volume and parameters of RV dilatation, myocardial and renal dysfunction in patients with chronic HF is associated with adverse outcomes. Understanding the impact of all these variables guide optimal and effective individualized HF management and therapy.

Abstract OBJECTIVES Low forced expiratory volume in 1 s (FEV1) and elevated N-terminal pro-B-type natriuretic peptide (NT-Pro-BNP) have been individually associated with poor outcomes after transcatheter aortic valve replacement (TAVR). We hypothesized a combination of the 2 would provide prognostic indication after TAVR. METHODS We categorized 871 patients who received TAVR from 2008 to 2018 into 4 groups according to baseline FEV1 (<60% or ≥60% predicted) and NT-Pro-BNP (<1601 or ≥1601 pg/ml): group A (n = 312, high FEV1, low NT-Pro-BNP), group B (n = 275, high FEV1, high NT-Pro-BNP), group C (n = 123 low FEV1, low NT-Pro-BNP) and group D (n = 161, low FEV1, high NT-Pro-BNP). The primary end point was survival at 1 and 5 years. RESULTS Patients in group A had more severe aortic stenosis and achieved the best long-term survival at 1 [93% (95% CI: 90–96)] and 5 [45.3% (95% CI: 35.4–58)] years. Low FEV1 and high NT-Pro-BNP (group D) patients had more severe symptoms, higher Society of Thoracic Surgeons predicted risk of operative mortality, lower ejection fraction and aortic valve gradient at baseline. Patients in group D had the worst survival at 1 [76% (95% CI: 69–83)] and 5 years [13.1% (95% CI: 7–25)], hazard ratio compared to group A: 2.29 (95% CI: 1.6–3.2, P < 0.001) with 25.7% of patients in New York Heart Association class III–IV. Patients in groups B and C had intermediate outcomes. CONCLUSIONS The combination of FEV1 and NT-Pro-BNP stratifies patients into 4 groups with distinct risk profiles and clinical outcomes. Patients with low FEV1 and high NT-Pro-BNP have increased comorbidities, poor functional outcomes and decreased long-term survival after TAVR.

This review discusses recent advancements in the field of valvular heart disease. Topics covered include recognition of the impact of atrial fibrillation on development and assessment of valvular disease, strategies for global prevention of rheumatic heart disease, understanding and management of secondary mitral regurgitation, the updated classification of bicuspid aortic valve disease, recognition of heightened cardiovascular risk associated with moderate aortic stenosis, and a growing armamentarium of transcatheter therapies.

Abstract Aims Aortic stenosis (AS) induces characteristic changes in left ventricular (LV) mechanics that can be reversed after aortic valve replacement (AVR). We aimed to comprehensively characterize LV mechanics before and after AVR in patients with severe AS and identify predictors of short-term functional recovery and long-term survival. Methods and results We prospectively performed comprehensive strain analysis by 2D speckle-tracking echocardiography in 88 patients with severe AS and LV ejection fraction ≥50% (mean age 71 ± 12 years, 42% female) prior to and within 7 days after AVR. Patients were followed for up to 5.2 years until death from any cause or last encounter. Within days after AVR, we observed an absolute increase in global longitudinal strain (GLS) (−16.0 ± 2.0% vs. −18.5 ± 2.1%, P<0.0001) and a decrease in apical rotation (10.5 ± 4.0° vs. 8.3 ± 2.8°, P = 0.0002) and peak systolic twist (18.2 ± 5.0° vs. 15.5 ± 3.8°, P = 0.0008). A baseline GLS is less negative than −16.2% was 90% sensitive and 67% specific in predicting a ≥ 20% relative increase in GLS. During a median follow-up of 3.8 years, a global circumferential systolic strain rate (GCSRs) less negative than −1.9% independently predicted lower survival. Conclusion In patients with severe AS, a reversal in GLS, apical rotation, and peak systolic twist abnormalities towards normal occurs within days of AVR. Baseline GLS is the strongest predictor of GLS recovery but neither was associated with long-term survival. In contrast, abnormal baseline GCSRs are associated with worse outcomes.

Abstract Background Graves' disease (GD) is associated with atrial fibrillation (AF) with a prevalence ranging between 16% and 60%, but its risk factors are not well-defined. We aimed to describe the incidence, risk factors and outcomes of GD-related AF. Methods Patients diagnosed with GD between 2009 and 2019 were included retrospectively. We defined GD-related AF as AF diagnosed within 30 days before or any time after diagnosis of GD. Late onset AF was defined as GD-related AF diagnosed more than 90 days after GD diagnosis. Observed AF events were compared to the expected events in the general population utilizing published data of age and sex-specific rates of AF. Results Of 1371 patients with GD, AF occurred in 139 (10.1%) patients. Late onset AF occurred in 32 (23%), of which 50% had attained euthyroidism. The observed incidence of AF was higher in GD than that expected in the general population (p<0.001), Figure 1. When comparing the incidence of only late AF to that in the general population, late AF still happened more frequently in GD although not achieving statistical significance (p=0.06), Figure 1. Independent risk factors were age [HR 1.05 (1.03–1.06) per year], overt hyperthyroidism [HR 2.71 (1.35–5.44)], and male gender [HR 2.42 (1.57–3.71)] for early AF and age [HR 1.06 (1.02–1.09) per year], BMI [1.07 (1.01–1.12) per unit], COPD [3.33 (1.08–10.27)), heart failure [HR 4.19 (1.39–17.42)], and treatment with thionamide [vs. radioiodine ablation HR 2.94 (1.38–6.27)] for late AF. AF was associated with higher rates of mortality [HR 16.32 (4.66–56.58)], acute coronary syndrome/stable angina events [HR 3.89 (1.23–12.31)], and cardiac hospitalizations [HR 15.39 (8.17–29.00)] when adjusted to age, sex, and previous AF. Conclusion AF occurred in 10.1% of GD patients. Late onset AF is an important entity comprising a quarter of GD-related AF cases and requires surveillance even after restoring euthyroidism. Risk factors for AF in GD are similar to those in general population, although overt hyperthyroidism conferred the highest risk, especially for early AF. Treatment with thionamide was associated with late AF. Funding Acknowledgement Type of funding sources: None.