Skip to main content

Diagnosis and treatment of heart failure with preserved ejection fraction in patients on hemodialysis

Abstract

Heart failure (HF) is a frequent complication and the main cause of death in patients on dialysis. HF with preserved ejection fraction (HFpEF) is a complicated syndrome that manifests as diastolic dysfunction and increased left ventricular filling pressure. Few studies have investigated HFpEF in dialysis patients, so the diagnosis and treatment of HFpEF remains challenging. The recently published the Japanese Circulation Society (JCS)/the Japanese Heart Failure Society (JHFS) 2021 guidelines have reported a new diagnostic procedure for HF. In dialysis patients, HF is typically observed as left ventricular diastolic dysfunction in association with HFpEF. Recent reports have shown that risk factors for HF in dialysis patients include not only traditional risk factors, such as age, smoking, obesity, hypertension, dyslipidemia, and diabetes, but also nontraditional risk factors such as fluid overload, renal anemia, disorders of calcium and phosphate metabolism, uremic toxins, and malnutrition. In the management of dialysis patients, volume control is important for controlling intradialytic hypotension, which is associated with higher mortality. Also, adequate pharmacological treatment of HFpEF is difficult in these patients, so a robust protocol developed for non-dialysis patients with HFpEF may be useful for treating patients on dialysis. This review explores the characteristics of hemodialysis patients with HFpEF and diagnostic and treatment procedures for these patients.

Introduction

The population of patients on dialysis continues to grow globally in conjunction with population aging, and the management of these patients poses various challenges in terms of complications and mortality. According to the Japanese Society for Dialysis Therapy (JSDT), the annual all-cause mortality of patients on chronic dialysis in Japan was 9.9% in 2020 [1]. The relatively low rate indicates that the life expectancy of Japanese dialysis patients is among the highest in the world, even as the average age of these patients is increasing. Nonetheless, in dialysis patients, mortality due to infectious diseases has recently increased and cardiovascular disease (CVD) remains a major concern, accounting for 40% of all deaths. In particular, the Statistical Survey Committee of JSDT has reported that heart failure (HF) was the most common cause of death, accounting for 25% of all-cause mortality in these patients. About 20% of hemodialysis patients experience HF with reduced ejection fraction (HFrEF) according to clinical examinations and echocardiographic studies [2, 3]. Advances have been made in therapeutic strategies for HF, such as antihypertensive drugs and treatment of anemia and chronic kidney disease, mineral and bone disorder (CKD–MBD), but the management of CVD including HF remains as an important clinical problem to be addressed [4]. One challenge is that structural and functional abnormalities of the heart are more common reported more often in dialysis patients than in non-dialysis patients. Another is that, volume expansion often occurs in dialysis patients, which can exacerbate hypertension and induce left ventricular (LV) hypertrophy. HF in dialysis patients is mainly manifested as LV diastolic dysfunction with preserved ejection fraction, termed as heart failure with preserved ejection fraction (HFpEF) [5]. Nevertheless, HFpEF has been inadequately recognized, because past researches largely focused on HFrEF. In this review, we give an overview of HFpEF in hemodialysis patients, associated biomarkers and diagnostic procedures, and the therapeutic management of these patients.

Classification of HF preserved or reduced ejection fraction

HF is a complicated syndrome that causes various symptoms, including fatigue, dyspnea, and edema, as well as reduced exercise tolerance as a result of decompensated cardiac pumping function due to structural and functional disorders of the heart (Table 1). The recent JCS/JHFS 2021 guidelines [6] divide patients with HF into three groups (Table 2) based on the severity of LV impairment: HFrEF, LV ejection fraction (LVEF) < 40%; HF with mildly reduced EF (HFmrEF), LVEF of 40-% to < 50%; and HFpEF, LVEF > 50% with objective evidence of structural or functional abnormalities of the heart that are consistent with diastolic dysfunction or elevated filling pressures, including increases in brain natriuretic peptide (BNP) and its inactive N-terminal fragment (NT-proBNP) [6].

Table 1 Definition of heart failure
Table 2 Classification of heart failure by LVEF on examination

Cardiac background in dialysis patients

Dialysis patients have various cardiac disorders including ischemic heart disease, hypertensive cardiomyopathy, valvular heart disease, arrythmias, and pericarditis [7]. However, dialysis patients can also experience non-cardiac edema, which occurs in about 25% of dialysis patients with congestion as a result of fluid overload rather than as a result of specific structural or functional abnormality of the heart [8]. The cause of congestion therefore must be carefully investigated on the basis of medical interview and physical findings. Previously referred to as high-output HF, noncardiac edema is most frequently caused by volume overload due to high salt intake, severe anemia, arteriovenous fistula with high blood flow, or hyperglycemia [9]. When investigating edema in hemodialysis patients, examinations should be performed before dialysis, when body fluid volume is at its highest [10]. The method used for the diagnosis of HF in hemodialysis patients is similar to that used for non-dialysis patients [11], though there are some limitations in the use of biomarkers, as discussed in the next section.

Cardiac biomarkers

Cardiac biomarkers have been utilized to predict CV morbidity and mortality in asymptomatic patients with CVD [12], but their application has been limited in patients on dialysis due to heterogeneity in the relationships between elevated biomarkers and outcomes. BNP and NT-proBNP are biomarkers released in response to ventricular stretch or ischemia [13]. Among asymptomatic euvolemic patients on dialysis, serum BNP and NT-proBNP levels are often more than 20 times the upper limit of normal range [14]. A systematic review and meta-analysis has found that baseline BNP and NT-Pro BNP levels are still significantly associated with CV morbidity and mortality in patients on dialysis [15]. Considering the heterogeneity in previous studies of these biomarkers, there is a need to establish a standard value for the diagnosis of HF in dialysis based on values measured at an appropriate dry weight in the absence of clinical symptoms of HF [14]. Obokata et al. reported that soluble isoforms of ST2 (sST2), galactin-3 (Gal-3), and NT-proBNP were associated with all-cause mortality in chronic hemodialysis patients [16]. Both sST2 and Gal-3 had independent and incremental prognostic values over NT-proBNP in these patients. Assessment of sST2 and Gal-3 further enhances risk stratification.

Diagnostic procedure

The standard concept for diagnosing HFpEF is based on the following three points: (i) presence of HF symptoms, (ii) normal or increase LVEF, (iii) signs of LV diastolic dysfunction [17]. Clinical guidelines in both Japan and western countries have set an LVEF of 50% or higher as the standard for diagnosing HFpEF [6, 11], which present in about half of patients with HF [18]. However, diastolic dysfunction is difficult to diagnose in routine practice and there is a lack of diagnostic criteria for HFpEF. Thus, the combined use of various echocardiographic indices has been proposed as a comprehensive diagnostic strategy [19, 20]. Considering the strong association between HFpEF and background factors such as advanced age, diabetes, obesity, hypertension, atrial fibrillation, and coronary artery disease [21], screening for HFpEF is also a useful strategy. The H2FPEF score is calculated on the basis of obesity, advanced age, hypertension requiring polypharmacy, atrial fibrillation, pulmonary hypertension, and left atrial pressure elevation and has been proposed as simple screening method [22].

HFpEF is also recognized during the course for other conditions such as tachycardia-induced cardiomyopathy, ischemic heart disease, and dilated cardiomyopathy, reflecting improvement of LVEF due to the effects of treatment (Table 3, Fig. 1). Such cases are classified as HF with recovered EF (HFrecEF). Previous clinical studies have found that about 20–40% of HFrEF or HFmrEF cases transitioned to HFrecEF [23,24,25,26]. Background factors associated with HFrecEF include young age, female sex, and nonischemic heart disease, and among patients with HFrEF at onset of HF, those who improve to HFrecEF have comparatively favorable outcomes [23, 24, 27].

Table 3 Classification of heart failure based on time-dependent changes in LVEF
Fig. 1
figure 1

Relationship between classification of heart failure by left ventricular ejection fraction (LVEF) onset and follow-up based on time-dependent changes in LVEF. Recreated from Fig. 1 in reference [5] under the Creative Commons BY-NC-ND license

Therapeutic management

The treatment of HF generally involves the management of comorbidities such as obesity, hypertension, and diabetes; nonpharmacological management such as lifestyle modification, management of symptoms, and disease-modifying therapy, such as angiotensin-converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs), and mineralcorticoid receptor antagonists (MRAs). Although broadly similar, the management of patients on dialysis is more complex. For example, volume management and medication adjustments are important considerations, and multidiscriplinary care involving cardiologists, nephrologists, and other professionals is required.

Management of dialysis patients with HFpEF is based on factors that may contribute to diastolic dysfunction, such as overhydration, hypertension, and myocardial ischemia. Volume retention is a high risk factor for dialysis patients with HF [28], the first choice of treatment is to control body fluid volume by restricting salt intake (5 g/day), and limiting interdialysis body weight gain at less than 3% of the dry weight for an interdialysis interval of 1 day and less than 5% for 2 days [12]. In patients with overt congestion, the first step is to adjust the dry weight downward to ameliorate hypervolemia, anemia is treated, arteriovenous flow is optimized, and blood glucose level is corrected, as appropriate.

In addition, strict blood pressure control is very important and has beneficial effects on LVH in dialysis patients [29]. In the case of hemodialysis three times a week, blood pressure increases during the periods between the dialysis sessions, which is associated with an increase in body weight, especially in older patients with high dry weights. Increased peripheral resistance may be associated with activation of the sympathetic nervous system. Sodium and water retention are also associated with hypertension in these patients. Various clinical trials have shown that intensive hemodialysis reduces blood pressure and need for using antihypertensive agents and is effective for the management of HFpEF. Treatment of excessive preload reduction can lead to the underfilling of the LV, drop in cardiac output, and hypotension. For these reasons, a valid alternative is more frequent or longer hemodialysis.

Patients with chronic HF and LV systolic or diastolic function often develop LV remodeling, which compensates for reduced cardiac output [30]. However, this gives rise to a vicious cycle compensation by LV remodeling and leads to worsening of systolic and diastolic functions. Disrupting this cycle is critical for improving outcome. On strategy is use renin–angiotensin system (RAS) inhibitors or β-blockers to suppress sympathetic nervous system activation and RAS activation [30, 31], both which promote LV remodeling [32]. For nondialysis patients, it is recommended to treat HF with RAS inhibitors in order to reverse LV remodeling, despite this causing LV dysfunction [32]. However, there is little information available on the effectiveness of RAS inhibitors and of β-blockers in hemodialysis patients with HF.

In 2021, the Japanese Circulation Society and Japanese Heart Failure society released the revised version of clinical guidelines on the diagnosis and treatment of acute and chronic heart failure [6], which included a treatment algorithm for HF (Fig. 2). HF often has a chronic and progressive clinical course, where patients with overt HF often have repeated episodes of acute exacerbation of HF. This leads to progression from stage C (HF stage) to stage D (refractory HF stage). A strategy of cardiac rehabilitation is recommended for both of these stages, which involves multidisciplinary management and nonpharmaceutical management in the form of exercise therapy. In addition, palliative care is introduced early in stage C, with the aim of managing symptoms, improving quality of life, and supporting decision-making on treatment selection.

Fig. 2
figure 2

Treatment algorithm for heart failure. Recreated from Fig. 1 in reference [5] under the Creative Commons BY-NC-ND license

The therapeutic approach for stage C disease includes the treatment of acute exacerbations in both of chronic HF and acute HF. In the chronic phase of stage C, LVEF is the major concern, and the goal is to treat HFrEF with the maximum tolerable dose of ACE inhibitors or ARBs in combination with β-blockers, which have been reported to improve the clinical outcomes [6]. Combination therapy with an MRA plus an ACE inhibitors and ARB is the mainstay of treatment for HFrEF. In patients with symptomatic HFrEF, replacement for an ACE inhibitor or ARB with an angiotensin receptor–neprilysin inhibitor (ARNI) is recommended to improve morbidity and mortality. ARNIs can also be considered as an alternative to ACE inhibitors or ARBs in the initial treatment selection. Moreover, in patients with symptomatic HFrEF despite receiving optimal basic treatment, the addition of sodium–glucose co-transporter protein 2 (SGLT2) inhibitors is also recommended regardless of diabetes status in order to further lower the risk of HF exacerbation or CV mortality. Diuretics, on the other hand, have not been shown to improve survival, though they are necessary for symptom management and dose adjustment according to organ congestion is important. In patients with symptomatic HFrEF with sinus rhythm and 75 bpm heart rate or higher, addition of ivabradine is an option that should be considered in order to decrease the risk of hospitalization or CV death. If symptoms do not improve despite maximum and optimal pharmacologic therapy, the cardiac resynchronization therapy is recommended. An implantable cardioverter defibrillator is indicated in cases requiring primary or secondary prevention of sudden death. Percutaneous mitral valve repair should be considered for symptomatic patients with HFrEF who have LVEF of at least 20% and severe mitral valve insufficiency despite optimal basic medical treatment. According to the treatment algorithm above, treatment for stage D disease is started when patients have severe symptoms even at rest, required repeated hospitalization.

A small portion of HFpEF patients exhibit the sympathetic and RAS system activation, and the prognostic significance of elevated plasma level of neurohormones in these patients has not been determined [33]. The safety and efficacy of ACE inhibitors for the treatment of HFpEF was investigated in three large-scale clinical trials [34,35,36]. The CHARM-Preserved and the I-PRESERVE trials investigated ARBs, and the PEP-CHF trial investigated an ACE inhibitor. CHARM-Preserved included patients with HFpEF (LVEF > 40%) who had a New York Heart Association (NYHA) class II–IV status and a history of hospital admission for HF, and its primary outcome—a composite of CV death and HF admission—was not met [hazard ratio (HR) 0.89; [95% confidence interval (CI) 0.77–1.03]; p = 0.118]. In an echocardiographic substudy of the CHARM-Preserved trial, only half of the enrolled patients had moderate or severe diastolic dysfunction, but it was a strong predictor of worse outcome [37]. In light of the results of the above trials, subsequent trials added echocardiographic evidence of diastolic dysfunction and congestion as additional inclusion criteria. The results were clearly similar in the more highly selected cohorts with ARBs having no impact on mortality and some effect on hospitalization for HF. A large meta-analysis of these clinical trials concluded that both ACE inhibitors and ARBs have no effect on all-cause mortality (HR 1.01; 95% CI [0.92–1.11]), CV death (HR 1.02; 95% CI [0.90–1.14]), and hospitalization for HF (HR 0.92; 95% CI [0.83–1.02]) [38].

The TOPCAT trial was a large, multicenter, randomized, double-blind, placebo-controlled clinical trial that examined the efficacy and safety of an MRA (spironolactone) in patients with HFpEF aged > 50 years who had at least one sign or symptom of HF, and LVEF > 45%, and prior hospitalization for HF within the past 12 months or an elevated BNP or NT-proBNP level [39]. Overall, there was no effect of the MRA on the primary outcome—composite CV death and hospitalization for HF (HR 0.89; 95% CI [0.77–1.04]; p = 0.14), and only hospitalization for HF was significantly reduced in patients treated with the MRA (HR 0.83; 95% CI [0.69–0.99]. p = 0.04). Two clearly diverging trajectories in the occurrence of the primary outcome emerged since the first publication of the results [40].

PARAGON-HF was a randomized controlled trial that compared a composite of total hospitalization for HF and CV death as the primary outcome in 4822 patients with NYHA class II–IV, EF > 45%, elevated BNP or NT-proBNP, and structural heart disease between valsartan alone or sacubitril/varsartan, which is an ARNI [41]. The primary endpoint was not reached, with only a small number of events. When the outcome was split into its components, there was no effects on CV mortality (HR 0.95; 95% CI [0.79–1.16]) and a modest positive effect on hospitalization for HF (HR 0.85; 95% CI [0.72–1.00]). Addition of the ARNI also shows was also beneficial for some important secondary outcomes, including quality of life.

In contrast to RAS inhibitors, there is not a large body of evidence for the use of β-blockers in the treatment of HFpEF. Thus, β-blockers are primarily used to treat HFpEF based on the clinical judgement of the attending physician in tailored care. The population of patients with HFpEF is highly heterogeneous, with the underlying mechanisms and etiologies complicating the design of clinical trials of β-blockers for HF. The SENIORS trial enrolled patients with HF across the entire spectrum of LVEF values and randomized them to receive the β-blocker nebivolol or a placebo [42]. Among studies of β-blockers, the subgroup analysis of 752 patients with LVEF > 35% in the SENIORS trial is the largest cohort of patients with HFpEF in a placebo-controlled randomized study. The primary end point was reached in 235 patients of the patients with HFpEF (31.2%), and nebivolol was shown not to have a significant effect (p = 0.720). However, meta-analyses have suggested that β-blockers could reduce CV mortality or all-cause mortality without having a significant effect on hospitalization for HF [43, 44].

The efficacy and safety of new drugs such as SGLT2 inhibitors has been investigated in patients with HFpEF (EMPEROR-Preserved) [45] and those with HFmrEF (DELIVER) [46]. The addition of SGLT2 inhibitors has been shown to reduce CV death or worsening of HF, with relative risk reduction of 26% and 25%, respectively, when dapagliflozin and empagliflozin were trialed in patients with overt HF [46, 47]. The positive results of both of these trials demonstrated significant reductions in a composite of CV death and hospitalization for HF as the primary outcome. The magnitude of the effect was similar between EMPEROR-Preserved (HR 0.79; 95% CI [0.69–0.90]; p < 0.001) and DELIVER (HR 0.82; 95% CI [0.73–0.92]; p < 0.001). These positive results were mainly attributable to a decrease in hospitalization for HF and worsening HF events. In both trials, the effect on CV deaths approached, but did not reach, the level of significance (HR 0.91; 95% CI [0.76–1.09] in EMPELOR-Preserve; HR 0.88; 95% CI [0.74–1.05] in DELIVER). Taken together, these trials show that empagliflozin and dapagliflozin significantly reduced the incidence of CV events and worsening of HF in patients with HFpEF. All of the above trials excluded patients on hemodialysis. This may partly explain the lower prescription of these drugs in patients with reduced renal function. However, evidence from these trials suggests that patients with kidney dysfunction may benefit from treatment with these agents.

In conclusion, few treatments have been shown to be effective in hemodialysis patients with HFpEF, though they are a group at high risk of death. Adequately powered clinical trials are needed to examine the benefits and harms of conventional therapy for HFpEF in the context of hemodialysis patients with HFpEF. We hope for further research that contributes to improving the clinical outcomes of these patients.

Availability of data and materials

Not applicable.

References

  1. Hanafusa N, Abe M, Joki N, Hoshino J, Kikuchi K, Goto S, et al. Annual dialysis data report 2020, JSDT renal data registry. Ren Replace Ther. 2024;10:14.

    Article  Google Scholar 

  2. Antlanger M, Aschauer S, Kopecky C, Hecking M, Kovarik JJ, Werzowa J, et al. Heart failure with preserved and reduced ejection fraction in hemodialysis patients: prevalence, disease prediction and prognosis. Kidney Blood Press Res. 2017;42:165–76.

    Article  PubMed  Google Scholar 

  3. Ito T, Akamatsu K. Echocardiographic manifestations in end-stage renal disease. Heart Fail Rev. 2024;29:465–78.

    Article  PubMed  Google Scholar 

  4. Jankowski J, Floege J, Fisher D, Bohm M, Marx N. Cardiovascular disease in chronic kidney disease: pathophysiological insights and therapeutic options. Circulation. 2021;143:1157–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Malik J, Kudlicka J, Valerianova A, Kovarova L, Kmentova T, Lachmanova J. Diastolic dysfunction in asymptomatic hemodialysis patients in the light of the current echocardiographic guidelines. Int J Cardiovasc Imaging. 2019;35:313–7.

    Article  PubMed  Google Scholar 

  6. Tsutsui H, Ide T, Ito H, Kihara Y, Kinugawa K, Kinugawa S, et al. JCS/JHFS 2021 guideline focused update on diagnosis and treatment of acute and chronic heart failure. Circ J. 2012;85:2252–91.

    Article  Google Scholar 

  7. Sakaran NK, Crowley AL, de Souza FR, Resende ES, Rao SV. The role of cardiovascular remodeling in cardiovascular outcomes. Curr Atheroscler Rep. 2017;19:23.

    Article  Google Scholar 

  8. Rangaswami J, McCullough PA. Heart failure in end-stage kidney disease: pathophysiology, diagnosis, and therapeutic strategies. Semin Nephrol. 2018;38:600–17.

    Article  PubMed  Google Scholar 

  9. Wasse H, Singapuri MS. High-output heart failure: how to define it, when to treat it, and how to treat it. Semin Nephrol. 2012;32:551–7.

    Article  PubMed  Google Scholar 

  10. Obokata M, Negishi K, Marwick TH, et al. Comparison of different interdialytic intervals among hemodialysis patients on their echocardiogram-based cardiovascular parameters. Am Heart J. 2015;169:523-30.e2.

    Article  PubMed  Google Scholar 

  11. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Burri H, et al. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42:3599–726.

    Article  CAS  PubMed  Google Scholar 

  12. Hirakata H, Nitta K, Inaba M, Shoji T, Fujii H, Kobayashi S, et al. Japanese society for dialysis therapy guidelines for management of cardiovascular diseases in patients on chronic hemodialysis. Ther Apher Dial. 2012;16:387–435.

    Article  PubMed  Google Scholar 

  13. Niizuma S, Iwanaga Y, Yahata T, Miyazaki S. Renovascular biomarkers: from the perspective of managing chronic kidney disease. Front Cardiovasc Med. 2017;4:1–11.

    Article  Google Scholar 

  14. Schaub JA, Coca SG, Moledina DG, Gentry M, Testani JM, Parikh CR. Amino-terminal pro-B-type natriuretic peptide for diagnosis and prognosis in patients with renal dysfunction: a systematic review and meta-analysis. JACC Heart Fail. 2015;3:977–89.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Harrison TG, Shukalek CB, Hemmelgarn BR, Zarnke KB, Ronksley PE, Iragorri N, et al. Association of NT-proBNP and BNP with future clinical outcomes in patients with ESKD: a systematic review and meta-analysis. Am J Kidney Dis. 2020;76:233–47.

    Article  CAS  PubMed  Google Scholar 

  16. Obokata M, Sunaga H, Ishida H, et al. Independent and incremental prognostic value of novel cardiac biomarkers in chronic hemodialysis patients. Am Heart J. 2016;179:29–41.

    Article  CAS  PubMed  Google Scholar 

  17. Vasan RS, Levy D. Defining diastolic heart failure: a call for standardized diagnostic criteria. Circulation. 2000;101:2118–21.

    Article  CAS  PubMed  Google Scholar 

  18. Yaku H, Ozasa N, Morimoto T, Inuzuka Y, Tamaki Y, Yamamoto E, et al. KCHF study investigators. Demographics, management, and in-hospital outcome of hospitalized acute heart failure syndrome patients in contemporary real clinical practice in Japan. Observations from the prospective, multicenter Kyoto congestive heart failure (KCHF) registry. Circ J. 2018;82:2811–9.

    Article  PubMed  Google Scholar 

  19. Nagueh SF, Smiseth OA, Appleton CP, Byrd BF 3rd, Dokainish H, Edvardsen T, et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American society of echocardiography and the European association of cardiovascular imaging. J Am Soc Echocardiogr. 2016;29:277–314.

    Article  PubMed  Google Scholar 

  20. Pieske B, Tschope C, de Boer RA, Fraser AG, Anker SD, Donal E, et al. Gow to diagnose heart failure with preserved ejection fraction: the ITFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart failure association (HFA) of the European society of cardiology (ESC). Eur Heart J. 2019;40:3297–317.

    Article  PubMed  Google Scholar 

  21. Ho JE, Lyass A, Lee DS, Vasan RS, Kannel WB, Larson MG, et al. Predictors of new-onset heart failure: differences in preserved versus reduced ejection fraction. Circ Heart Fail. 2013;6:279–86.

    Article  PubMed  Google Scholar 

  22. Reddy YNV, Carter RE, Obokata M, Redfield MM, Borlaug BA. A simple, evidence-based approach to help guide diagnosis of heat failure with preserved ejection fraction. Circulation. 2018;138:861–70.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tsuji K, Sakata Y, Nochioka K, Miura M, Yamauchi T, Onose T, et al. Characterization of heart failure patients with mid-range left ventricular ejection fraction: a report from the CHART-2 Study. Eur J Heart Fail. 2017;19:1258–69.

    Article  PubMed  Google Scholar 

  24. Kittleson MM, Panjrath GS, Amancherla K, Davis LL, Deswal A, Dixon DD, et al. ACC expert consensus decision pathway on management of heart failure with preserved ejection fraction: a report of the American College of Cardiology solution set oversight committee. J Am Coll Cardiol. 2023;81:1835–78.

    Article  PubMed  Google Scholar 

  25. Borlaug BA, Sharma K, Shah SJ, Ho JE. Heart failure with preserved ejection fraction: JACC scientific statement. J Am Coll Cardiol. 2023;81:1810–34.

    Article  PubMed  Google Scholar 

  26. Clarke CL, Grunwald GK, Allen LA, Baron AE, Peterson PN, Brand DW, et al. Natural history of left ventricular ejection fraction in patients with heart failure. Circ Cardiovasc Qual Outcomes. 2013;6:680–6.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Kalogeropoulos AP, Fonarow GC, Georgiopoulou V, Burkman G, Siwamogsatham S, Patel A, et al. Characteristics and outcomes of adult outpatients with heart failure and improved or recovered ejection fraction. JAMA Cardiol. 2016;1:510–8.

    Article  PubMed  Google Scholar 

  28. Zoccali C, Moissl U, Chazot C, Mallamaci F, Tripepi G, Arkossy O, et al. Chronic fluid overload and mortality in ESRD. J Am Soc Nephrol. 2017;28:2491–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Pecoits-Filho R, Bucharles S, Barberato S. Diastolic heart failure in dialysis patients: mechanisms, diastolic approach, and treatment. Semin Dial. 2012;25:35–41.

    Article  PubMed  Google Scholar 

  30. Cohn JN, Ferrari R, Sharpe N. Cardiac remodeling-concepts and clinical implications: a consensus paper from an international forum on cardiac remodelling. On behalf of an international forum on cardiac remodeling. J Am Coll Cardiol. 2000;35:569–82.

    Article  CAS  PubMed  Google Scholar 

  31. Fukuta H, Goto T, Wakami K, Kamiya T, Ohte N. Effect of renin-angiotensin system inhibition on cardiac structure and function and exercise capacity in heart failure with preserved ejection fraction: a meta-analysis of randomized controlled trials. Heart Fail Rev. 2012;26:1477–84.

    Article  Google Scholar 

  32. Cleland JGF, Bunting KV, Flather MD, Altman DG, Holmes J, Coats AJS, et al. Beta-blockers for heart failure, and preserved ejection fraction: an individual patient-level analysis of double-blind randomized trials. Eur Heart J. 2018;39:26–35.

    Article  CAS  PubMed  Google Scholar 

  33. Jiang H, Fang T, Cheng Z. Mechanism of heart failure after myocardial infarction. J Int Med Res. 2023;51:3000605231202573.

    Article  CAS  PubMed  Google Scholar 

  34. Gronda E, Dusi V, D’Elia E, Lacoviello M, Benvenuto E, Vanoli E. Sympathetic activation in heart failure. Eur Heart J Suppl. 2022;24(Suppl E):E4-11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Yusuf S, Pfeffer MA, Swedberg K, Granger CB, Held P, McMurray JJ, et al. Effects of candesartan in patients with chronic heart failure and preserved left ventricular ejection fraction: the CHARM-Preserved Trial. Lancet. 2003;362:777–81.

    Article  CAS  PubMed  Google Scholar 

  36. Cleland JGF, Tendera M, Adamus J, Freemantle N, Polonski L, Tayler J, et al. The perindopril in elderly people with chronic heart failure (PEP-CHF) study. Eur Heart J. 2006;27:2338–45.

    Article  CAS  PubMed  Google Scholar 

  37. Massie BM, Carson PE, McMurray JJ, Komajda M, McKelvie R, Zile MR, et al. Irbesartan in patients with heart failure and preserved ejection fraction. N Engl J Med. 2008;359:2456–67.

    Article  CAS  PubMed  Google Scholar 

  38. Persson H, Lonn E, Edner M, Baruch L, Lang CC, Morton JJ, et al. Diastolic dysfunction in heart failure with preserved systolic function: need for objective evidence: results from the CHARM Echocardiographic Substudy-CHARMES. J Am Coll Cardiol. 2007;49:687–94.

    Article  PubMed  Google Scholar 

  39. Martin N, Manoharan K, Davies C, Lumbers RT. Beta-blockers and inhibitions of the renin-angiotensin aldosterone system for chronic heart failure with preserved ejection fraction. Cochrane Database Syst Rev. 2021;5:CD012721.

    PubMed  Google Scholar 

  40. Pitt B, Pfeffer MA, Assmann SF, Boineau R, Anand IS, Claggett B, et al. Spironolactone for heart failure with preserved ejection fractions. N Engl J Med. 2014;370:1383–92.

    Article  CAS  PubMed  Google Scholar 

  41. McMurray JJ, O’Connor C. Lessons from the TOPCAT trial. N Engl J Med. 2014;370:1453–4.

    Article  CAS  PubMed  Google Scholar 

  42. Slomon SD, McMurray JJV, Anand IS, Ge J, Lam CSP, Maggioni AP, et al. Angiotensin-Neprilysin inhibition in heart failure with preserved ejection fraction. N Engl J Med. 2019;381:1609–20.

    Article  Google Scholar 

  43. Van Veldhuisen DJ, Cohen-Solal A, Bohm M, Anker SD, Babalis D, Roughton M, et al. Beta-blockade with nebivolol in elderly heart failure patients with impaired and preserved left ventricular ejection fraction: data from seniors. J Am Coll Cardiol. 2009;53:2150–8.

    Article  PubMed  Google Scholar 

  44. Yamamoto K, Origasa H, Hori M. J-DHF Investigators. Effect of carvedilol on heart failure with preserved ejection fraction: the Japanese Diastolic Heart Failure Study (J-DHF). Eur J Heart Fail. 2013;15:110–8.

    Article  CAS  PubMed  Google Scholar 

  45. Fukuta H, Goto T, Wakami K, Ohte N. The effect of beta-blockers on mortality in heart failure with preserved ejection fraction: A meta-analysis of observational cohort and randomized controlled studies. In J Cardiol. 2017;228:4–10.

    Google Scholar 

  46. Anker SD, Butler J, Filippatos G, Ferreira JP, Bocchi E, Bohm M, et al. Empagliflozin in herat failure with a preserved ejection fraction. N Engl J Med. 2012;385:1451–61.

    Article  Google Scholar 

  47. Solomon SD, McMurray JJV, Claggett B, de Boer RA, DeMets D, Heranandez AF, et al. Dapagliflozin in heart failure with mildly reduced or preserved ejection fraction. N Engl J Med. 2022;387:1089–98.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank all dialysis staffs who gave us the chance to write this review.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

K.N. planned the review, searched the literature, and prepared the article. K.K. searched the literature and assisted in writing the article. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kosaku Nitta.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nitta, K., Kinugawa, K. Diagnosis and treatment of heart failure with preserved ejection fraction in patients on hemodialysis. Ren Replace Ther 10, 59 (2024). https://doi.org/10.1186/s41100-024-00576-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41100-024-00576-6

Keywords