Reddy, Yogesh N.V.

AbstractA 63‐year‐old man presented with hemoptysis and progressive dyspnea. His echocardiogram was concerning for pulmonary hypertension (PH) and CT chest showed fibrosing mediastinitis with possible cardiac involvement. Right heart catheterization revealed PH at rest and worsened with exercise. CT findings and simultaneous measurement of pulmonary capillary wedge pressure (PCWP), left atrial pressure, and left ventricular pressure helped diagnose pulmonary vein (PV) stenosis as the etiology of his PH. Both upper pulmonary veins were stented, and repeat exercise hemodynamic study revealed a substantial reduction in pulmonary arterial pressure with improvement in subjective dyspnea, cardiac output reserve, mechanical efficiency, and ventilatory efficiency. Repeat right upper PCWP normalized, consistent with resolution of the PV stenosis.

Abstract Aims Circulating blood volume is functionally divided between the unstressed volume, which fills the vascular space, and stressed blood volume (SBV), which generates vascular wall tension and intravascular pressure. With decreases in venous capacitance, blood functionally shifts to the SBV, increasing central venous pressure and pulmonary venous pressures. Obesity is associated with both elevated venous pressure and heart failure with preserved ejection fraction (HFpEF). To explore the mechanisms underlying this association, we evaluated relationships between blood volume distribution, venous compliance, and body mass in patients with and without HFpEF. Methods and results Subjects with HFpEF ( n = 62) and non‐cardiac dyspnoea (NCD) ( n = 79) underwent invasive haemodynamic exercise testing with echocardiography. SBV was estimated (eSBV) from measured haemodynamic variables fit to a comprehensive cardiovascular model. Compared to NCD, patients with HFpEF displayed a leftward‐shifted central venous pressure–dimension relationship, indicating reduced venous compliance. eSBV was 81% higher at rest and 69% higher during exercise in HFpEF than NCD (both P < 0.0001), indicating reduced venous capacitance. Despite greater augmented eSBV with exercise, the increase in cardiac output was reduced in HFpEF, suggesting operation on the plateau of the Starling curve. Exercise eSBV was directly correlated with higher body mass index (r = 0.77, P < 0.0001) and inversely correlated with right ventricular–pulmonary arterial coupling (r = −0.57, all P < 0.0001). Conclusions Patients with HFpEF display reductions in systemic venous compliance and increased eSBV related to reduced venous capacitance, abnormalities in right ventricular–pulmonary artery interaction, and increased body fat. These data provide new evidence supporting an important role of venous dysfunction in obesity‐related HFpEF and suggest that therapies that improve venous function may hold promise to improve clinical status in this cohort.

Introduction: Anemia is associated with increased mortality, cardiovascular events, and decreased quality of life in patients with heart failure with preserved ejection fraction (HFpEF). Iron deficiency may contribute to disease severity independent of effects on red cell mass. The hemodynamic consequences of anemia and iron deficiency in HFpEF remain unclear. Methods: We analyzed a cohort of 313 consecutive subjects with HFpEF diagnosed by invasive hemodynamic assessment, and compared echocardiographic and hemodynamic characteristics of anemic versus non-anemic subjects. Anemia was defined as hemoglobin <13 g/dL in men and <12 g/dL in women. Iron deficiency was defined as ferritin <100 ug/L. Results: Compared to patients without anemia, HFpEF patients with anemia displayed higher NT-proBNP, elevated pulmonary artery (PA) pressures at rest and at peak exercise, and lower oxygen consumption at peak exercise (Table). There was no difference in pulmonary capillary wedge pressure (PCWP). Patients with iron deficiency were more likely to be women. At rest, patients with iron deficiency displayed lower left ventricular (LV) mass, higher resting SVRI and lower cardiac index (CI), but there were not significant differences with exercise. Conclusions: Anemia in HFpEF is associated with greater evidence of congestion and more severe pulmonary hypertension, contributing to reduced exercise capacity. Iron deficiency in HFpEF is more common in women and associated with lower cardiac output at rest, but hemodynamics are otherwise similar. Further study is required to understand the mechanisms by which anemia and iron deficiency influence cardiac function and outcomes in HFpEF.

Background Impaired right ventricular (RV) pulmonary artery coupling has been associated with higher mortality in patients with chronic heart disease, but few studies have examined this metric in critically ill patients. We sought to evaluate the association between RV pulmonary artery coupling, defined by the ratio of tricuspid annular peak systolic tissue Doppler velocity (TASV)/estimated RV systolic pressure (RVSP), and mortality in cardiac intensive care unit patients. Methods and Results Using a database of unique cardiac intensive care unit admissions from 2007 to 2018, we included patients with TASV/RVSP ratio measured within 1 day of hospitalization. Hospital mortality was analyzed using multivariable logistic regression, and 1‐year mortality was analyzed using multivariable Cox proportional‐hazards analysis. We included 4259 patients with a mean age of 69±15 years (40.1% women). Admission diagnoses included acute coronary syndrome in 56%, heart failure in 52%, respiratory failure in 24%, and cardiogenic shock in 12%. The mean TASV/RVSP ratio was 0.31±0.14, and in‐hospital mortality occurred in 7% of patients. Higher TASV/RVSP ratio was associated with lower in‐hospital mortality (adjusted unit odds ratio, 0.68 per each 0.1‐unit higher ratio; 95% CI, 0.58–0.79; P <0.001) and lower 1‐year mortality among hospital survivors (adjusted unit hazard ratio, 0.83 per each 0.1‐unit higher ratio; 95% CI, 0.77–0.90; P <0.001). Stepwise decreases in hospital and 1‐year mortality were observed in each higher TASV/RVSP quintile. The TASV/RVSP ratio remained associated with mortality after adjusting for left ventricular systolic and diastolic function. Conclusions A low TASV/RVSP ratio is associated with increased short‐term and long‐term mortality among cardiac intensive care unit patients, emphasizing importance of impaired RV pulmonary artery coupling as a determinant of poor prognosis. Further study is required to determine whether interventions to optimize RV pulmonary artery coupling can improve outcomes.

Aims To investigate the prognostic value of diagnostic scores for heart failure (HF) with preserved ejection fraction (HFpEF). Methods and results Consecutive patients with HFpEF admitted for unequivocal decompensated HF treated with intravenous loop diuretics were evaluated ( n = 443; mean age 78 ± 12 years; 60% women). The HFA‐PEFF and H 2 FPEF scores were calculated for all patients with echocardiography data available within 1 year and the population was stratified according to HFA‐PEFF scores 2–4 ( n = 79), 5 ( n = 93), or 6 ( n = 271) and H 2 FPEF score probabilities <90% ( n = 80), 90–95% ( n = 61), and 96–100% ( n = 293). HF readmission rates (95% confidence intervals) increased from 28.9 (22.7–35.0) per 100 patient‐years in HFA‐PEFF 2–4 to 46.0 (38.5–53.5) in HFA‐PEFF 5 and 45.0 (40.1–49.8) in HFA‐PEFF 6. Similarly, HF readmission rates increased with increasing H 2 FPEF probability: <0.90 [31.8 (25.3–38.2) per 100 patient‐years], 0.90–0.95 [41.5 (32.9–50.1)], and 0.96–1.00 [45.9 (41.2–50.6]. Median survival was 65 months (36–89 months) in HFA‐PEFF score 2–4, 45 months (26–59 months) in HFA‐PEFF score 5, and 28 months (22–42 months) in HFA‐PEFF score 6 ( P < 0.001), while the hazard ratio (95% confidence interval) for all‐cause mortality was 1.16 (1.02–1.32) per 0.10 increase in H 2 FPEF probability. Conclusions Among patients hospitalized with HFpEF, higher HFpEF probability according to diagnostic scores is associated with increased risk of subsequent HF readmissions and all‐cause mortality.

Abstract Aims To determine whether inorganic nitrite improves peripheral and pulmonary oxygen (O 2 ) transport during exercise in heart failure with preserved ejection fraction (HFpEF). Methods and results Data from two invasive, randomized, double‐blind, placebo‐controlled trials with matched workload exercise of inhaled and intravenous sodium nitrite were pooled for this analysis ( n = 51). Directly measured O 2 consumption (VO 2 ) and blood gas data were used to evaluate the effect of nitrite on skeletal muscle O 2 conductance (Dm), VO 2 kinetics, alveolar capillary membrane O 2 conductance (D L ), and O 2 utilization during submaximal exercise. As compared to placebo, treatment with nitrite resulted in an improvement in Dm (+4.9 ± 6.5 vs. −0.9 ± 4.3 mL/mmHg*min, P = 0.0008) as well as VO 2 kinetics measured by mean response time (−5.0 ± 6.9 vs. −0.6 ± 6.0 s, P = 0.03), with preserved O 2 utilization despite increased convective O 2 delivery through cardiac output (+0.4 ± 0.7 vs. −0.3 ± 0.9 L/min, P = 0.02). Nitrite improved D L (+2.5 ± 6.3 vs. −2.0 ± 9.0 mL/mmHg*min, P = 0.05) with exercise, which was associated with lower pulmonary capillary pressures (r = −0.34, P = 0.02), and reduced pulmonary dead space ventilation fraction (−0.01 ± 0.05 vs. +0.02 ± 0.05, P = 0.02). Conclusion Sodium nitrite enhances skeletal muscle Dm during exercise as well as pulmonary O 2 diffusion, optimizing O 2 kinetics in tandem with increased convective O 2 delivery through cardiac output augmentation. The favourable combined pulmonary, cardiac and peripheral effects of nitrite may improve exercise tolerance in people with HFpEF and requires further investigation. Clinical Trial Registration: ClinicalTrials.gov ID NCT01932606 and NCT02262078.

Abstract Aims Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous condition, and tissue congestion manifested by oedema is not present in all patients. We compared clinical characteristics, exercise capacity, and outcomes in patients with HFpEF with and without oedema. Methods and results This study was a post hoc analysis of pooled data of patients with left ventricular ejection fraction of ≥50% enrolled in the DOSE, CARRESS-HF, RELAX, ATHENA, ROSE, INDIE, and NEAT trials. Patients were dichotomized by the severity of oedema. Cox proportional hazard regression and generalized linear regression models were used to assess associations between oedema, symptoms, and clinical outcomes. The ambulatory cohort included 393 patients (228 with and 165 without oedema), and the hospitalized cohort included 338 patients (249 with ≥moderate oedema and 89 with mild or none). Among ambulatory patients, patients with oedema had a higher body mass index (35.2 kg/m2 [inter-quartile range, IQR 30.5, 41.6] vs. 31.6 kg/m2 [IQR 27.9, 36.3], P &lt; 0.001), greater burden of co-morbidities, higher intravascular pressures estimated on physical examination (elevated jugular venous pressure: 50% vs. 24.7%, P &lt; 0.001), poorer renal function (creatinine: 1.2 mg/dL [IQR 0.9, 1.5] vs. 1 mg/dL [IQR 0.8, 1.3], P = 0.003), and lower peak VO2 (adjusted mean difference −1.04 mL/kg/min, 95% confidence interval [−1.71, −0.37], P &lt; 0.003). Among hospitalized patients, despite greater in-hospital fluid/weight loss in the ≥moderate oedema group, there was no difference in the improvement in dyspnoea by the visual analogue scale or well-being visual analogue scale from baseline to 3–4 days and no statistically significant difference in the rate of 60 day rehospitalization/death (adjusted hazard ratio 1.44, 95% confidence interval [0.87, 2.39], P = 0.156). Conclusions Patients with HFpEF and oedema display higher body mass, greater burden of co-morbidities, and more severe exercise intolerance, but clinical responses to treatment appear similar. Further research is required to better understand the nature of volume distribution in different HFpEF phenotypes.

Abstract Background Analysis of a 12-lead electrocardiogram (ECG) in sinus rhythm by artificial intelligence (AI) has demonstrated to identify the risk of underlying paroxysmal atrial fibrillation (AF) with reasonable accuracy in the overall population. Purpose This study investigates whether AI based ECG analysis can predict new AF development in patients with heart failure and preserved ejection fraction (HFpEF) without previous AF history, as well as predict AF burden in patients with AF history. Methods This retrospective cohort study includes 424 patients with HFpEF, consecutively admitted to receive treatment with intravenous diuretics for congestion. A previously validated AI algorithm that provides an AF risk score based on ECG analysis was applied in all subjects. Patients were stratified according to AF history: (1) no history; (2) paroxysmal AF; (3) persistent AF; or (4) permanent AF. In patients without AF history, the impact of AI-predicted AF risk on new AF development was assessed. In patients with previous AF episodes, the relationship between AI-predicted AF risk and AF burden as well as underlying echocardiography substrate was evaluated. Results Eighty-three patients had paroxysmal AF (19.5%), 48 persistent AF (11%), and 121 permanent AF (28.5%). AF patients were older, with lower body mass index and higher heart rate. Lower systolic blood pressure, larger left atrial volume index (LAVI), worse diastolic function, more tricuspid valve regurgitation, and more need for pacing were observed with increasing AF severity. In 172 patients without AF history followed for 979±875 days, 61 developed AF (35%) after a median time of 2,118 days. AI-predicted AF risk was associated with new-onset AF after adjustments for age, gender, systolic blood pressure, body mass index and LAVI [HR (95% CI) = 1.15 (1.04–1.28); P-value=0.007; figure]. Only 5/61 patients who developed AF during follow-up (8.2%) were anticoagulated at baseline. In patients with previous AF, the AI-predicted risk score increased significantly with AF burden (46±25% in paroxysmal AF, 59±22% in persistent AF, and 69±17% in permanent AF; P-value&lt;0.001). The score was weakly but significantly correlated with LAVI (Pearson's r=0.27; P-value&lt;0.001) and right ventricular systolic pressure (Pearson's r=0.30; P-value&lt;0.001). When stratifying patients according to AI-predicted AF risk (0–25% versus 26–50% versus 51–75% versus 76–100%), there was a progressively longer time since onset of the first AF episode [29 months (4–77 months) versus 9 months (0–62 months) versus 38 months (2–88 months) versus 54 months (3–112 months), respectively; P-value=0.046]. Conclusions An AI-predicted AF risk score based on ECG analysis was associated with AF burden in HFpEF patients and did independently predict new-onset AF in those without previous history. Time to new onset of atrial fibrillation Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Belgian American Educational Foundation (B.A.E.F.); Special Research Fund (BOF) of Hasselt University (Hasselt, Belgium)