Literature DB >> 30311437

Impact of an interatrial shunt device on survival and heart failure hospitalization in patients with preserved ejection fraction.

David M Kaye1, Mark C Petrie2, Scott McKenzie3, Gerd Hasenfuβ4, Filip Malek5, Martijn Post6, Robert N Doughty7, Jean-Noël Trochu8, Finn Gustafsson9, Irene Lang10, Adam Kolodziej11, Ralf Westenfeld12, Martin Penicka13, Mark Rosenberg14, Jörg Hausleiter15, Philip Raake16, Guillaume Jondeau17, Martin W Bergmann18, Tim Spelman19, Huseyin Aytug19, Piotr Ponikowski20, Chris Hayward21.   

Abstract

AIMS: Impaired left ventricular diastolic function leading to elevated left atrial pressures, particularly during exertion, is a key driver of symptoms and outcomes in heart failure with preserved ejection fraction (HFpEF). Insertion of an interatrial shunt device (IASD) to reduce left atrial pressure in HFpEF has been shown to be associated with short-term haemodynamic and symptomatic benefit. We aimed to investigate the potential effects of IASD placement on HFpEF survival and heart failure hospitalization (HFH). METHODS AND
RESULTS: Heart failure with preserved ejection fraction patients participating in the Reduce Elevated Left Atrial Pressure in Patients with Heart Failure study (Corvia Medical) of an IASD were followed for a median duration of 739 days. The theoretical impact of IASD implantation on HFpEF mortality was investigated by comparing the observed survival of the study cohort with the survival predicted from baseline data using the Meta-analysis Global Group in Chronic Heart Failure heart failure risk survival score. Baseline and post-IASD implant parameters associated with HFH were also investigated. Based upon the individual baseline demographic and cardiovascular profile of the study cohort, the Meta-analysis Global Group in Chronic Heart Failure score-predicted mortality was 10.2/100 pt years. The observed mortality rate of the IASD-treated cohort was 3.4/100 pt years, representing a 33% lower rate (P = 0.02). By Kaplan-Meier analysis, the observed survival in IASD patients was greater than predicted (P = 0.014). Baseline parameters were not predictive of future HFH events; however, poorer exercise tolerance and a higher workload-corrected exercise pulmonary capillary wedge pressure at the 6 months post-IASD study were associated with HFH.
CONCLUSIONS: The current study suggests IASD implantation may be associated with a reduction in mortality in HFpEF. Large-scale ongoing randomized studies are required to confirm the potential benefit of this therapy.
© 2018 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.

Entities:  

Keywords:  HFpEF; Heart failure; Interatrial shunt; Medical device; Survival

Mesh:

Year:  2018        PMID: 30311437      PMCID: PMC6351895          DOI: 10.1002/ehf2.12350

Source DB:  PubMed          Journal:  ESC Heart Fail        ISSN: 2055-5822


Introduction

Heart failure with preserved ejection fraction (HFpEF) represents one of the most important contemporary challenges in cardiovascular medicine. Prevalent HFpEF already accounts for roughly half of the current heart failure (HF) burden, and the incidence of HFpEF is increasing in the context of an ageing population together with concomitant hypertension, diabetes, and obesity.1, 2, 3, 4 Patients with established HFpEF are just as symptomatic as those with heart failure with reduced ejection fraction (HFrEF).5, 6 All‐cause mortality in HFpEF is substantially greater than that in age‐matched healthy individuals,7, 8 approaching that observed in HFrEF patients.4 The relative contribution of death due to non‐cardiovascular events in HFpEF is somewhat higher than in HFrEF.9, 10 The pathophysiological basis of HFpEF is complex, including both central and peripheral cardiovascular components together with non‐cardiovascular elements. In particular, impaired left ventricular diastolic function leading to elevated left atrial (LA) pressure during physical activity is considered a key driver of symptoms in HFpEF.11, 12, 13, 14 Intrinsic LA mechanical dysfunction may also contribute significantly to symptoms.15, 16 To date, pharmacological interventions with proven effectiveness in HFrEF have failed to achieve their primary endpoints in HFpEF.17, 18, 19, 20 Additionally, other recent interventions directed at the nitric oxide–cyclic guanosine monophosphate pathway have also proven ineffective.21, 22, 23, 24 As further evidence of the central role of impaired diastolic performance in HFpEF, it has been shown that poorer exercise tolerance25 and survival 26 are associated with a more rapid rise in pulmonary capillary wedge pressure (PCWP) during exercise. Within this context, based on haemodynamic simulations,27 an interatrial shunt device (IASD®, Corvia Medical Inc., Tewksbury, MA, USA) was developed to reduce LA pressure by allowing a modest amount of left‐to‐right shunting in HFpEF patients.28, 29 Open‐label studies have suggested a symptomatic and haemodynamic benefit at 6 and 12 months,30, 31 and a recent randomized trial demonstrated haemodynamic benefit compared with a sham control.32 To date, however, the effect of this approach on heart failure hospitalization (HFH) or survival remains unknown. Accordingly, the objective of this study was to investigate the potential impact of IASD implantation on HFH and survival in the intermediate term.

Methods

The Reduce Elevated Left Atrial Pressure in Patients with Heart Failure (REDUCE LAP‐HF) study was a multi‐centre prospective, non‐randomized, open‐label, single‐arm study designed to investigate the safety and performance of a novel transcatheter IASD in 64 patients with symptoms of HF, haemodynamic evidence of raised LA pressure (measured as the PCWP) at rest or during supine bicycle exercise, and a left ventricular ejection fraction (LVEF) > 40%. To account, in part, for the potential effect differences in peak workload and weight on PCWP, the exercise PCWP is also presented as the ratio of PCWP to workload (W)/kg, that is, PCWP/(W/kg) as previously reported.11, 26 The study design, patient demographics, and primary results have been described in detail elsewhere.30, 33 In brief, the average age of the cohort was 70 years, and the majority (65%) were women. Co‐morbidities including hypertension, obesity, diabetes, chronic obstructive pulmonary disease, and atrial fibrillation were common. Full exercise invasive haemodynamic studies were conducted in 60 patients at 6 months post‐IASD implant. The principle objective of the current study was to investigate hard clinical outcomes in the REDUCE LAP‐HF cohort over the intermediate term. Exercise capacity, quality of life (Minnesota Living with Heart Failure Score), and echocardiography were optional assessments at 2 years. Haemodynamic analyses were not conducted at this time point. All serious adverse events were reported per protocol and adjudicated by an independent clinical event committee. A second aim was to investigate the relationship between the post‐IASD haemodynamic profile (i.e. at 6 months) and HFH events.

Statistical methods

Normally distributed data are presented as mean ± standard error of the mean and non‐normal data as median and 25th–75th percentile range. Between‐group comparisons were performed using an unpaired Student's t‐test. Non‐parametric between‐group comparisons were performed using a Mann–Whitney U test. Repeated measures ANOVA analysis of New York Heart Association (NYHA) status was performed using Friedman's test, with post hoc testing performed using a Wilcoxon test. To determine the theoretical impact of IASD implantation on survival, we calculated 1 and 3 year predicted cohort outcomes using the Meta‐analysis Global Group in Chronic Heart Failure (MAGGIC) prognostic model,34, 35 a risk prediction tool derived from a large (>40 000 patient group composed of mixed clinical trial and observational cohorts) and validated in a large real‐world cohort of HF patients.36 The predicted survival using the MAGGIC score was based on all relevant patient and disease factors in the IASD cohort at baseline. An exponential transformation was then applied to estimate predicted survival for each 3 month time point between baseline and 39 months. A comparison of predicted survival with that observed following IASD treatment was performed for the entire observation period balanced for key baseline confounders such as LVEF and all other baseline MAGGIC score variables. Observed and MAGGIC‐predicted Kaplan–Meier survival curves were compared over the total follow‐up period and at 12, 24, and 36 months using log‐rank test and Z‐tests. Similarly, validated scores for HFH in HFpEF patients are not presently available. Hazard proportionality was assessed via analysis of scaled Schoenfeld residuals. The null hypothesis was rejected at P < 0.05. Statistical analyses were conducted using SPSS version 22 (IBM, Armonk, NY, USA) or Stata version 15 (StataCorp, College Station, TX, USA). Statistical modelling of survival outcomes was conducted independently by Synergus (Synergus AB, Stockholm, Sweden).

Results

Clinical event rates

Over the 3 year follow‐up period, six study patients (9.4%) died during the follow‐up period, representing a mortality rate of 3.4 deaths per 100 person‐years (95% confidence interval 1.52–7.54) over a total observation period of 177.2 patient years. Of the six observed deaths, three were adjudicated as being HF related, two were assessed not being directly attributable to HF, and one occurred following a cerebrovascular accident. Over the follow‐up period, there were 42 HFH episodes occurring in 19 patients. The observed all‐cause mortality rate in IASD‐treated patients was significantly lower than that predicted by the MAGGIC score. The mortality rate predicted by the MAGGIC score was 10.2/100 pt years (6.1–16.9). Taken together, this observation represents a 33% lower mortality rate (hazard ratio 0.67; 95% confidence interval 0.09–0.89) relative to the MAGGIC‐predicted mortality across the full observation period (P = 0.02). The corresponding Kaplan–Meier curves are demonstrated in Figure , representing a greater survival in IASD patients compared with MAGGIC‐predicted outcomes, P (log‐rank) = 0.014. χ 2 and P values for the log‐rank tests of observed vs. predicted mortality at 12, 24, and 36 months were, respectively, 2.96 (P = 0.085), 2.15 (P = 0.143), and 21.43 (P < 0.01).
Figure 1

Kaplan–Meier survival curves representing the observed and predicted outcome for the heart failure with preserved ejection fraction cohort.

Kaplan–Meier survival curves representing the observed and predicted outcome for the heart failure with preserved ejection fraction cohort.

Heart failure hospitalization and New York Heart Association class

Over the follow‐up period, 19 patients experienced an HFH event, and the first hospitalization event occurred at a median of 182 days. Of those with HFH events, nine patients experienced two or more HFH events. Survival was similar in patients with an HFH event compared with those without (three deaths per group, P = 0.31) albeit with small numbers. As shown in Table 1, there were no significant differences in key baseline (pre‐IASD) demographic, echocardiographic, and haemodynamic features of patients according to subsequent HFH. Similarly, as shown in Figure , there were no significant differences in the baseline exercise intra‐cardiac pressures of patients categorized according to subsequent HFH. Prior to IASD implantation, the peak exercise cardiac index was similar in non‐HFH vs. HFH patients: 4.3 ± 0.2 vs. 4.3 ± 0.3 L/min/m2. Six months after IASD implantation, HFH patients had a lower 6 min walk distance and lower peak exercise work capacity as shown in Table 2. The resting echocardiographic and haemodynamic features were similar in patients who experienced an HFH event (Table 2). Comparison of intra‐cardiac pressures during exercise 6 months after IASD implantation showed (Figure ) that patients with an HFH event had higher workload‐corrected exercise PCWP (94 ± 13 vs. 60 ± 5 mmHg/(W/kg), P = 0.021). The peak exercise cardiac index was similar in non‐HFH and HFH patients (5.2 ± 0.2 vs. 4.8 ± 0.3 L/min/m2).
Table 1

Baseline features according to HFH status

No HFH (n = 45)HFH (n = 19) P value
Age (years)69 ± 171 ± 20.37
Body mass index (kg/m2)32 ± 134 ± 20.27
NT‐proBNP (pg/mL)332 (218–862)595 (222–1790)0.24
Atrial fibrillation (%)36370.92
Hypertension (%)80840.69
IHD (%)31320.97
eGFR (mL/min/1.73 m2)65 ± 354 ± 40.08
6MWD (m)335 ± 16316 ± 180.49
Peak exercise workload (W)44 ± 340 ± 40.48
Echocardiography
LVEF (%)47 ± 147 ± 10.66
LAVI (mL/m2)34 ± 334 ± 30.88
RAVI (mL/m2)35 ± 335 ± 30.95
TAPSE (cm)2.0 ± 0.11.9 ± 0.10.52
Resting haemodynamics
RA pressure (mmHg)9 ± 110 ± 10.15
PAm pressure (mmHg)23 ± 125 ± 10.39
PCWP (mmHg)17 ± 118 ± 10.40
Cardiac index (L/min/m2)2.7 ± 0.12.7 ± 0.20.78

6MWD, 6 min walk distance; eGFR, estimated glomerular filtration rate; HFH, heart failure hospitalization; IHD, ischaemic heart disease; LAVI, left atrial volume index; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐brain natriuretic peptide; PAm, mean pulmonary artery; PCWP, pulmonary capillary wedge pressure; RA, right atrial; RAVI, right atrial volume index; TAPSE, tricuspid annular plane systolic excursion.

Values are mean ± SEM or median (25th–75th percentile interquartile range).

Figure 2

Bar graphs represent baseline (pre‐interatrial shunt device) peak exercise haemodynamic parameters in relation to subsequent heart failure hospitalization (HFH) events. PA, pulmonary artery; PCWP, pulmonary capillary wedge pressure.

Table 2

Six month post‐IASD features according to HFH status

No HFH (n = 45)HFH (n = 19) P value
Body mass index (kg/m2)32 ± 134 ± 20.28
NT‐proBNP (pg/mL)332 (180–821)609 (304–2022)0.09
eGFR (mL/min/1.73 m2)63 ± 353 ± 40.08
6MWD (m)375 ± 14312 ± 230.03
Peak exercise workload (W)52 ± 341 ± 50.048
Echocardiography
LVEF (%)50 ± 147 ± 20.19
LAVI (mL/m2)35 ± 435 ± 40.99
RAVI (mL/m2)40 ± 440 ± 30.99
TAPSE (cm)2.0 ± 0.11.9 ± 0.10.21
Resting haemodynamics
RA pressure (mmHg)10 ± 112 ± 10.12
PAm pressure (mmHg)24 ± 125 ± 10.49
PCWP (mmHg)16 ± 118 ± 10.24
Cardiac index (L/min/m2)3.4 ± 0.13.2 ± 0.20.37

6MWD, 6 min walk distance; eGFR, estimated glomerular filtration rate; HFH, heart failure hospitalization; LAVI, left atrial volume index; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐brain natriuretic peptide; PAm, mean pulmonary artery; PCWP, pulmonary capillary wedge pressure; post‐IASD, post‐interatrial shunt device; RA, right atrial; RAVI, right atrial volume index; TAPSE, tricuspid annular plane systolic excursion.

Figure 3

Bar graphs represent peak exercise haemodynamic parameters 6 months after interatrial shunt device (n = 60) implantation in relation to subsequent heart failure hospitalization (HFH) events. PA, pulmonary artery; PCWP, pulmonary capillary wedge pressure.

Baseline features according to HFH status 6MWD, 6 min walk distance; eGFR, estimated glomerular filtration rate; HFH, heart failure hospitalization; IHD, ischaemic heart disease; LAVI, left atrial volume index; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐brain natriuretic peptide; PAm, mean pulmonary artery; PCWP, pulmonary capillary wedge pressure; RA, right atrial; RAVI, right atrial volume index; TAPSE, tricuspid annular plane systolic excursion. Values are mean ± SEM or median (25th–75th percentile interquartile range). Bar graphs represent baseline (pre‐interatrial shunt device) peak exercise haemodynamic parameters in relation to subsequent heart failure hospitalization (HFH) events. PA, pulmonary artery; PCWP, pulmonary capillary wedge pressure. Six month post‐IASD features according to HFH status 6MWD, 6 min walk distance; eGFR, estimated glomerular filtration rate; HFH, heart failure hospitalization; LAVI, left atrial volume index; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐brain natriuretic peptide; PAm, mean pulmonary artery; PCWP, pulmonary capillary wedge pressure; post‐IASD, post‐interatrial shunt device; RA, right atrial; RAVI, right atrial volume index; TAPSE, tricuspid annular plane systolic excursion. Bar graphs represent peak exercise haemodynamic parameters 6 months after interatrial shunt device (n = 60) implantation in relation to subsequent heart failure hospitalization (HFH) events. PA, pulmonary artery; PCWP, pulmonary capillary wedge pressure. At 2 years post‐IASD implantation, there was a sustained and significant improvement in NYHA class compared with baseline; however, there was a modest but significant diminution in NYHA class compared with the 12 month time point shown in Figure .
Figure 4

Bar graph represents the New York Heart Association (NYHA) class distribution of heart failure with preserved ejection fraction patients prior to and after interatrial shunt device implantation. *** P < 0.001 vs. baseline and + P < 0.05 vs. 12 months.

Bar graph represents the New York Heart Association (NYHA) class distribution of heart failure with preserved ejection fraction patients prior to and after interatrial shunt device implantation. *** P < 0.001 vs. baseline and + P < 0.05 vs. 12 months.

Discussion

Based upon evidence that impaired left ventricular diastolic function and abnormal LA mechanical function contribute substantially to the pathophysiology of HFpEF, our group and others have investigated devices aimed at reducing LA pressure by left‐to‐right atrial shunting through an iatrogenic atrial septal passage.30, 37 To date, sustained improvements in quality of life, functional capacity, and exercise haemodynamics have been observed in open‐label IASD studies extending out to 1 year post‐implant.31 The recent pilot double‐blind, randomized trial demonstrated a significant reduction in exercise PCWP in IASD‐treated HFpEF patients32 compared with sham control. The potential impact of IASD placement on HFpEF mortality and HFH remains unknown. Accordingly, the objective of this study was to examine the mortality and HFH rates in IASD‐treated HFpEF patients and to determine potential mechanisms by which IASD placement may alter clinical outcomes. In patients treated with an IASD in the open‐label REDUCE LAP‐HF cohort, we observed a 33% lower mortality rate than that predicted by the MAGGIC risk prediction score over the entire observation period. The MAGGIC score algorithm was derived from a meta‐analysis of 30 clinical trials and observational studies of over 40 000 patients with HF across a range of LVEF, including those with HFpEF and HFrEF, from which a risk prediction tool was developed using 13 common parameters.35 A similar approach has previously been applied to assess the impact of other interventions in HFrEF.38 The MAGGIC score estimated a substantially higher event rate, consistent with that recently observed in the regional sub‐analysis of the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist study.39 The ability of the MAGGIC score to reliably predict outcomes at 3 years was recently validated in a large Swedish registry,36 although the study suggested that the MAGGIC score may overestimate risk in lower risk patients. However, the validation study had several limitations, including multiple imputation procedures for missing data and the combination of patients with LVEF > 50% and those with an LVEF of 40–49%.36 Mortality events occurring in the present study were predominantly cardiovascular, albeit in a small population. The cause of death in patients with HFpEF has been somewhat unclear until recently. Meta‐analyses of randomized clinical trials together with observational studies and registries9, 10 have shown that although the majority of deaths are of a cardiovascular nature, the overall rate, mechanism, and their proportion vary substantially. Specifically, whilst progressive HF remains the commonest cause of cardiovascular death, the contribution of other cardiovascular events including sudden death, myocardial infarction, and stroke is more variable. The present study raises the possibility that a device‐based approach to reducing LA pressure may favourably affect mortality in HFpEF patients. This observation is consistent with two bodies of prior data. First, in a retrospective analysis, Dorfs et al.26 showed that HFpEF patients with a more marked exercise‐mediated rise in PCWP had poorer survival than those with lesser elevations. In conjunction, Adamson et al.40 showed that HF therapy guided by an implanted haemodynamic monitor in HFpEF patients was associated with a lower HFH rate. Moreover, Zile et al.41 showed that a 3–5 mmHg reduction in estimated pulmonary artery diastolic pressure was associated with lower mortality during a trial of an implanted haemodynamic monitor, albeit in HFrEF patients. The mechanism by which a reduction in LA filling pressure might reduce mortality in HFpEF is unclear. Elevated PCWP has been previously shown to drive cardiac sympathetic outflow in HFrEF,42 which is implicated in the progression of HF and in the pathogenesis of arrhythmia.43 Elevated natriuretic peptide levels have also been associated with a poorer outcome in HFpEF,44 which extends the concept that elevated filling pressure per se may directly contribute to outcome in HFpEF. Interestingly, whilst angiotensin‐converting enzyme inhibitors, angiotensin receptor blockers, and aldosterone antagonists have not been shown to improve survival overall in HFpEF, post hoc analyses indicate that they may be effective in patients with relatively lower natriuretic peptide levels.45 Whilst this may appear counter‐intuitive, the effect of these pharmacological therapies on filling pressures in HFpEF has not been studied in detail. A prior study by Kitzman et al.46 showed that angiotensin‐converting enzyme inhibition was without effect on echocardiographic indices of diastolic function or left ventricular filling pressures. Heart failure hospitalization events are an important contributor to the overall clinical burden associated with HFpEF. Recent data indicate that cardiovascular precipitants are the lead trigger for HFH in HFpEF patients.47 Specific causes include arrhythmia, myocardial ischaemia, and dietary or medication non‐adherence. Common non‐cardiovascular precipitants include infection and worsening renal function. From the present study, patients with subsequent HFH events tended to have worse renal function and higher N‐terminal pro‐brain natriuretic peptide levels at baseline, although these were not statistically significant. Heart failure hospitalization patients had similar haemodynamics prior to IASD implantation both at rest and during exercise. During follow‐up after IASD implantation, patients with a greater 6 month exercise capacity and a lower workload‐corrected peak PCWP had a lower likelihood of HFH. This observation is consistent with the importance of pulmonary congestion as a trigger for HFH.48 Importantly, we did not observe a relationship between haemodynamic or echocardiographic features of right heart volume overload, in the setting of the IASD, with HFH. In the present study, patients experiencing HFH events were not associated with subsequent increased mortality; however, the small sample size prevents a definitive conclusion about the potential relationship between these events.

Limitations

The current data should be interpreted in the context of several limitations. First, the study was an open‐label study. Second, although the predicted survival is consistent with other reports in HFpEF patients, the use of the MAGGIC score to derive a comparator survival curve may have generated an overestimation of the true survival in a contemporaneous group.39 Finally, whilst protocol‐driven safety outcome follow‐up was available at up to 3 years, complete NYHA class at 3 years was not available, and systematic echocardiography was not required after 12 months.

Conclusions

Taken together, the current study is consistent with recent data suggesting that both symptoms and outcomes are related to the magnitude of elevation of LA pressure in patients with HFpEF. Our study also suggests that mitigation of LA pressure elevation by deployment of an IASD may be associated with a reduction in mortality in HFpEF patients. Double‐blind randomized, sham procedure‐controlled studies are currently underway to further investigate the utility of this therapeutic approach in HFpEF.

Conflict of interest

None declared.

Funding

This study was funded by the Corvia Medical Incorporated.
  49 in total

Review 1.  Exercise intolerance.

Authors:  Dalane W Kitzman
Journal:  Prog Cardiovasc Dis       Date:  2005 May-Jun       Impact factor: 8.194

2.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur J Heart Fail       Date:  2016-05-20       Impact factor: 15.534

3.  Biomarker Profiles of Acute Heart Failure Patients With a Mid-Range Ejection Fraction.

Authors:  Jasper Tromp; Mohsin A F Khan; Robert J Mentz; Christopher M O'Connor; Marco Metra; Howard C Dittrich; Piotr Ponikowski; John R Teerlink; Gad Cotter; Beth Davison; John G F Cleland; Michael M Givertz; Daniel M Bloomfield; Dirk J Van Veldhuisen; Hans L Hillege; Adriaan A Voors; Peter van der Meer
Journal:  JACC Heart Fail       Date:  2017-06-14       Impact factor: 12.035

4.  Exercise hemodynamics enhance diagnosis of early heart failure with preserved ejection fraction.

Authors:  Barry A Borlaug; Rick A Nishimura; Paul Sorajja; Carolyn S P Lam; Margaret M Redfield
Journal:  Circ Heart Fail       Date:  2010-06-11       Impact factor: 8.790

Review 5.  Epidemiology of heart failure with preserved ejection fraction.

Authors:  Shannon M Dunlay; Véronique L Roger; Margaret M Redfield
Journal:  Nat Rev Cardiol       Date:  2017-05-11       Impact factor: 32.419

6.  Adverse consequences of high sympathetic nervous activity in the failing human heart.

Authors:  D M Kaye; J Lefkovits; G L Jennings; P Bergin; A Broughton; M D Esler
Journal:  J Am Coll Cardiol       Date:  1995-11-01       Impact factor: 24.094

7.  Prognosis of heart failure with preserved ejection fraction: a 5 year prospective population-based study.

Authors:  Christophe Tribouilloy; Dan Rusinaru; Haïfa Mahjoub; Vicky Soulière; Franck Lévy; Marcel Peltier; Michel Slama; Ziad Massy
Journal:  Eur Heart J       Date:  2007-12-22       Impact factor: 29.983

8.  Rationale and Design of the Reduce Elevated Left Atrial Pressure in Patients With Heart Failure (Reduce LAP-HF) Trial.

Authors:  Gerd Hasenfuss; Finn Gustafsson; David Kaye; Sanjiv J Shah; Dan Burkhoff; Marie-Christine Reymond; Jan Komtebedde; Mark Hünlich
Journal:  J Card Fail       Date:  2015-06-06       Impact factor: 5.712

9.  Relation of disease pathogenesis and risk factors to heart failure with preserved or reduced ejection fraction: insights from the framingham heart study of the national heart, lung, and blood institute.

Authors:  Douglas S Lee; Philimon Gona; Ramachandran S Vasan; Martin G Larson; Emelia J Benjamin; Thomas J Wang; Jack V Tu; Daniel Levy
Journal:  Circulation       Date:  2009-06-08       Impact factor: 29.690

10.  Wireless pulmonary artery pressure monitoring guides management to reduce decompensation in heart failure with preserved ejection fraction.

Authors:  Philip B Adamson; William T Abraham; Robert C Bourge; Maria Rosa Costanzo; Ayesha Hasan; Chethan Yadav; John Henderson; Pam Cowart; Lynne Warner Stevenson
Journal:  Circ Heart Fail       Date:  2014-10-06       Impact factor: 8.790

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  15 in total

Review 1.  Left atrial assist device for heart failure with preserved ejection fraction: initial results with torque control mode in diastolic heart failure model.

Authors:  Chihiro Miyagi; Barry D Kuban; Christine R Flick; Anthony R Polakowski; Takuma Miyamoto; Jamshid H Karimov; Randall C Starling; Kiyotaka Fukamachi
Journal:  Heart Fail Rev       Date:  2021-05-01       Impact factor: 4.214

Review 2.  State-of-the-Art Review of Current Therapies for HFpEF: An Overview of Interatrial Septal Device Therapy in Heart Failure.

Authors:  Mohammed Al-Sadawi; Romy R Ortega; Jonathan Ariyaratnam; Ayman Battisha; Bader Madoukh; Inna Bukharovich
Journal:  Curr Cardiol Rev       Date:  2021

Review 3.  Transcatheter Implantation of Interatrial Shunt Devices to Lower Left Atrial Pressure in Heart Failure.

Authors:  Troels Højsgaard Jørgensen; Lars Søndergaard
Journal:  Int J Heart Fail       Date:  2022-01-19

Review 4.  Device-based treatment options for heart failure with preserved ejection fraction.

Authors:  Chihiro Miyagi; Takuma Miyamoto; Jamshid H Karimov; Randall C Starling; Kiyotaka Fukamachi
Journal:  Heart Fail Rev       Date:  2021-01-12       Impact factor: 4.214

Review 5.  Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond.

Authors:  Domenico D'Amario; Francesco Canonico; Daniele Rodolico; Josip A Borovac; Rocco Vergallo; Rocco Antonio Montone; Mattia Galli; Stefano Migliaro; Attilio Restivo; Massimo Massetti; Filippo Crea
Journal:  Card Fail Rev       Date:  2020-06-15

Review 6.  Heart Failure with Preserved Ejection Fraction-a Concise Review.

Authors:  Daria M Adamczak; Mary-Tiffany Oduah; Thomas Kiebalo; Sonia Nartowicz; Marcin Bęben; Mateusz Pochylski; Aleksandra Ciepłucha; Adrian Gwizdała; Maciej Lesiak; Ewa Straburzyńska-Migaj
Journal:  Curr Cardiol Rep       Date:  2020-07-09       Impact factor: 2.931

7.  Impact of an interatrial shunt device on survival and heart failure hospitalization in patients with preserved ejection fraction.

Authors:  David M Kaye; Mark C Petrie; Scott McKenzie; Gerd Hasenfuβ; Filip Malek; Martijn Post; Robert N Doughty; Jean-Noël Trochu; Finn Gustafsson; Irene Lang; Adam Kolodziej; Ralf Westenfeld; Martin Penicka; Mark Rosenberg; Jörg Hausleiter; Philip Raake; Guillaume Jondeau; Martin W Bergmann; Tim Spelman; Huseyin Aytug; Piotr Ponikowski; Chris Hayward
Journal:  ESC Heart Fail       Date:  2018-10-11

8.  Haemodynamic changes of interatrial shunting devices for heart failure: a systematic review and meta-analysis.

Authors:  Tieci Yi; Min Li; Fangfang Fan; Lin Qiu; Zhi Wang; Haoyu Weng; Xiaoke Shang; Changdong Zhang; Wei Ma; Yan Zhang; Yong Huo
Journal:  ESC Heart Fail       Date:  2022-03-23

Review 9.  Interatrial Shunting for Treating Acute and Chronic Left Heart Failure.

Authors:  Leonardo Guimaraes; David Del Val; Sebastien Bergeron; Kim O'Connor; Mathieu Bernier; Josep Rodés-Cabau
Journal:  Eur Cardiol       Date:  2020-04-27

Review 10.  Interatrial Shunt Device for Heart Failure With Preserved Ejection Fraction.

Authors:  David M Kaye; Shane Nanayakkara
Journal:  Front Cardiovasc Med       Date:  2019-09-18
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