Borlaug, Barry A

BACKGROUND: Sodium-glucose cotransporter-2 inhibitors reduce risk of hospitalization for heart failure in patients who have heart failure with preserved ejection fraction (HFpEF), but the hemodynamic mechanisms underlying these benefits remain unclear. This study sought to determine whether treatment with dapagliflozin affects pulmonary capillary wedge pressure (PCWP) at rest and during exercise in patients with HFpEF. METHODS: This was a single-center, double-blinded, randomized, placebo-controlled trial testing the effects of 10 mg of dapagliflozin once daily in patients with HFpEF. Patients with New York Heart Association class II or III heart failure, ejection fraction ≥50%, and elevated PCWP during exercise were recruited. Cardiac hemodynamics were measured at rest and during exercise using high-fidelity micromanometers at baseline and after 24 weeks of treatment. The primary end point was a change from baseline in rest and peak exercise PCWPs that incorporated both measurements, and was compared using a mixed-model likelihood ratio test. Key secondary end points included body weight and directly measured blood and plasma volumes. Expired gas analysis was performed evaluate oxygen transport in tandem with arterial lactate sampling. RESULTS: Among 38 patients completing baseline assessments (median age 68 years; 66% women; 71% obese), 37 completed the trial. Treatment with dapagliflozin resulted in reduction in the primary end point of change in PCWP at rest and during exercise at 24 weeks relative to treatment with placebo (likelihood ratio test for overall changes in PCWP; P <0.001), with lower PCWP at rest (estimated treatment difference [ETD], −3.5 mm Hg [95% CI, −6.6 to −0.4]; P =0.029) and maximal exercise (ETD, −5.7 mm Hg [95% CI, −10.8 to −0.7]; P =0.027). Body weight was reduced with dapagliflozin (ETD, −3.5 kg [95% CI, −5.9 to −1.1]; P =0.006), as was plasma volume (ETD, −285 mL [95% CI, −510 to −60]; P =0.014), but there was no significant effect on red blood cell volume. There were no differences in oxygen consumption at 20-W or peak exercise, but dapagliflozin decreased arterial lactate at 20 W (−0.70 ± 0.77 versus 0.37 ± 1.29 mM; P =0.006). CONCLUSIONS: In patients with HFpEF, treatment with dapagliflozin reduces resting and exercise PCWP, along with the favorable effects on plasma volume and body weight. These findings provide new insight into the hemodynamic mechanisms of benefit with sodium-glucose cotransporter-2 inhibitors in HFpEF. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT04730947.

BACKGROUND: Patients with heart failure (HF) have a high burden of symptoms and physical limitations, regardless of ejection fraction (EF). Whether the benefits of SGLT2 (sodium-glucose cotransporter-2) inhibitors on these outcomes vary across the full range of EF remains unclear. METHODS: Patient-level data were pooled from the DEFINE-HF trial (Dapagliflozin Effects on Biomarkers, Symptoms, and Functional Status in Patients With Heart Failure With Reduced Ejection Fraction) of 263 participants with reduced EF (≤40%), and PRESERVED-HF trial (Effects of Dapagliflozin on Biomarkers, Symptoms and Functional Status in Patients With Preserved Ejection Fraction Heart Failure) of 324 participants with preserved EF (≥45%). Both were randomized, double-blind 12-week trials of dapagliflozin versus placebo, recruiting participants with New York Heart Association class II or higher and elevated natriuretic peptides. The effect of dapagliflozin on the change in the Kansas City Cardiomyopathy Questionnaire (KCCQ) Clinical Summary Score (CSS) at 12 weeks was tested with ANCOVA adjusted for sex, baseline KCCQ, EF, atrial fibrillation, estimated glomerular filtration rate, and type 2 diabetes. Interaction of dapagliflozin effects on KCCQ-CSS by EF was assessed using EF both categorically and continuously with restricted cubic spline. Responder analyses, examining proportions of patients with deterioration, and clinically meaningful improvements in KCCQ-CSS were conducted using logistic regression. RESULTS: Of 587 patients randomized (293 dapagliflozin, 294 placebo), EF was ≤40, >40-≤60, and >60% in 262 (45%), 199 (34%), and 126 (21%), respectively. Dapagliflozin improved KCCQ-CSS at 12 weeks (placebo-adjusted difference 5.0 points [95% CI, 2.6–7.5]; P <0.001). This was consistent in participants with EF≤40 (4.6 points [95% CI, 1.0–8.1]; P =0.01), >40 to ≤60 (4.9 points [95% CI, 0.8–9.0]; P =0.02) and >60% (6.8 points [95% CI, 1.5–12.1]; P =0.01; P interaction =0.79). Benefits of dapagliflozin on KCCQ-CSS were also consistent when analyzing EF continuously ( P interaction =0.94). In responder analyses, fewer dapagliflozin-treated patients had deterioration and more had small, moderate, and large KCCQ-CSS improvements versus placebo; these results were also consistent regardless of EF (all P interaction values nonsignificant). CONCLUSIONS: In patients with HF, dapagliflozin significantly improves symptoms and physical limitations after 12 weeks of treatment, with consistent and clinically meaningful benefits across the full range of EF. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifiers: NCT02653482 and NCT03030235.

Background: Improvement in renal function (IRF) in acute decompensated heart failure is associated with adverse outcomes. The mechanisms driving this paradox remain undefined. Methods: Using the ROSE-AHF study (Renal Optimization Strategies Evaluation–Acute Heart Failure), 277 patients were grouped according to renal function, with IRF defined by a ≥20% increase (N=75), worsening renal function by a ≥20% decline (N=53), and stable renal function (SRF) by a <20% change (N=149) in estimated glomerular filtration rate between baseline and 72 hours. Three well-validated renal tubular injury markers, NGAL (neutrophil gelatinase-associated lipocalin), NAG (N-acetyl-β-d-glucosaminidase), and KIM-1 (kidney injury molecule 1), were evaluated at baseline and 72 hours. Patients were also classified by the pattern of change in these markers. Results: Patients with IRF had the lowest admission estimated glomerular filtration rate (IRF, 37 [28 to 51] mL/min per 1.73 m 2 ; worsening renal function, 43 [35 to 55] mL/min per 1.73 m 2 ; and SRF, 43 [32 to 55] mL/min per 1.73 m 2 ; P trend =0.032) but greater cumulative urine output (IRF, 8780 [7025 to 11 208] mL; worsening renal function, 7860 [5555 to 9765] mL; and SRF, 8150 [6325 to 10 456] mL; P trend =0.024) and weight loss (IRF, –9.0 [–12.4 to –5.3] lb; worsening renal function, –5.1 [–8.1 to –1.3] lb; and SRF, –7.1 [–11.9 to –3.2] lb; P trend <0.001) despite similar diuretic doses ( P trend =0.16). There were no differences in the relative change in NGAL, NAG, or KIM-1 between renal function groups ( P trend >0.19 for all). Patients with IRF had worse survival than patients with SRF (27% versus 54%; hazard ratio, 1.98 [1.10–3.58]; P =0.024). Conclusions: IRF during decongestive therapy for acute decompensated heart failure was not associated with improved markers of renal tubular injury and was associated with worsened survival, likely driven by the presence of greater underlying cardiorenal dysfunction and more severe congestion.

Abstract Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous entity with complex pathophysiology and manifestations. Phenomapping is the process of applying statistical learning techniques to patient data to identify distinct subgroups based on patterns in the data. Phenomapping has emerged as a technique with potential to improve the understanding of different HFpEF phenotypes. Phenomapping efforts have been increasing in HFpEF over the past several years using a variety of data sources, clinical variables, and statistical techniques. This review summarizes methodologies and key takeaways from these studies, including consistent discriminating factors and conserved HFpEF phenotypes. We argue that phenomapping results to date have had limited implications for clinical care and clinical trials, given that the phenotypes, as currently described, are not reliably identified in each study population and may have significant overlap. We review the inherent limitations of aggregating and utilizing phenomapping results. Lastly, we discuss potential future directions, including using phenomapping to optimize the likelihood of clinical trial success or to drive discovery in mechanisms of the disease process of HFpEF.

Background: The purpose of this study was to assess the relationship between exercise-induced hypertension (EIH) and cardiovascular events, and to determine whether exercise blood pressure (BP) improved risk stratification in adults with repaired coarctation of aorta. Methods: Retrospective study of patients with repaired coarctation of aorta on antihypertensive therapy that underwent exercise testing and exercise test (2003–2019). BP was measured at rest in 3 different clinical settings and averaged to determine the resting BP. Indices of left ventricular function and afterload were obtained from the echocardiogram. EIH was defined as systolic BP >210 (males) or >190 (females) at peak exercise. Cardiovascular event was defined as atrial fibrillation, ventricular tachycardia, heart failure hospitalization, heart transplant, and cardiovascular death. Results: Of 327 patients (age 35±13 years), 116 (35%) had EIH. Although the resting BP was similar between patients with versus without EIH, the EIH group had higher pulsatile arterial load, more advanced left ventricular remodeling, and were less likely to be on angiotensin converting enzyme inhibitor/angiotensin receptor blocker. EIH was associated with cardiovascular events (hazard ratio, 1.06 [95% CI, 1.02–1.08]) independent of resting systolic BP, and improved prognostic accuracy above resting systolic BP ( C statistic, 0.671 [95% CI, 0.645–0.694] to 0.727 [95% CI, 0.709–0.750]; P =0.01). Angiotensin-converting enzyme inhibitor/angiotensin receptor blocker was associated with a lower risk of cardiovascular events. Conclusions: EIH was associated with cardiovascular events independent of resting BP, and patients receiving angiotensin-converting enzyme inhibitor/angiotensin receptor blocker had lower risk of cardiovascular events. These data suggest that exercise BP could be used to assess adequacy of antihypertensive therapy, and to guide titration of antihypertensive therapy.

Background Haemodynamic exercise testing is important for evaluating patients with dyspnoea on exertion and preserved ejection fraction. Despite very different pathologies, patients with pressure (aortic stenosis (AS)) and volume (mitral regurgitation (MR)) overload and diastolic dysfunction after recent acute myocardial infarction (AMI) reach similar filling pressure levels with exercise. The pressure–flow relationships (the association between change in cardiac output (∆CO) and change in pulmonary arterial wedge pressure (∆PAWP) may provide insight into haemodynamic adaptation to exercise in these groups. Methods and results One hundred sixty-eight subjects aged >50 years with a left ventricular ejection fraction of ≥50% underwent invasive exercise testing. They were enrolled in four different studies: AS (40 patients), AMI (52 patients), MR (43 patients) and 33 healthy subjects. Haemodynamic data were measured at rest, at 25 W, 75 W and at peak exercise. In all groups, PAWP increased with exercise. The greatest increase was observed in patients with AMI (from 12.7±3.9 mm Hg to 33.1±8.2 mm Hg, p<0.0001) and patients with AS (from 11.8±3.9 mm Hg to 31.4±6.1 mm Hg, p<0.0001), and the smallest was observed in healthy subjects (from 8.3±2.4 mm Hg to 21.1±7.5 mm Hg, p<0.0001). In all groups, the relative pressure increase was greatest at the beginning of the exercise. CO increased most in healthy patients (from 5.3±1.1 to 16.0±3.0 L/min, p<0.0001) and least in patients with AS (from 5.3±1.2 L/min to 12.4±2.6 L/min, p<0.0001). The pressure–flow relationships (∆PAWP/∆CO) and differed among groups (p = 0.02). In all groups, the pressure–flow relationship was steepest in the initial phase of the exercise test. The AMI and AS groups (2.3±1.2 mm Hg/L/min and 3.0±1.3 mm Hg/L/min, AMI and AS, respectively) had the largest overall pressure–flow relationship; the healthy group had the smallest initially and at peak exercise (1.3±1.1 mm Hg/L/min) followed by MR group (1.9±1.4 mm Hg/L/min). Conclusion The pressure–flow relationship was steepest in the initial phase of the exercise test in all groups. The pressure–flow relationship differs between groups. Trial registration numbers NCT01974557 , NCT01046838 , NCT02961647 and NCT02395107 .