Next Article in Journal
Exploring the Effects of Virtual Reality on Pain Relief and Physical Mobility in Spa-Based Treatment
Previous Article in Journal
Intraoperative Diagnostic Methods for Superior Mesenteric Artery Stenting in Chronic Mesenteric Ischemia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Clinical Features and Outcomes of Patients with Heart Failure and Advanced Chronic Kidney Disease

by
María Anguita-Gámez
1,
Javier Herrera-Flores
2,
Juan L. Bonilla-Palomas
3,
Alejandro Recio-Mayoral
4,
Rafael González-Manzanares
2,
Juan C. Castillo Domínguez
2,
José López-Aguilera
2,
Javier Muñiz
5,6 and
Manuel Anguita-Sánchez
2,6,*
1
Instituto Cardiovascular, Hospital Clínico San Carlos, 28040 Madrid, Spain
2
UGC de Cardiología, Hospital Universitario Reina Sofía, Universidad de Córdoba, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), 14004 Córdoba, Spain
3
Unidad de Cardiología, Hospital San Juan de la Cruz, 23400 Úbeda, Spain
4
Hospital Universitario Virgen Macarena, 41009 Sevilla, Spain
5
Grupo de Investigación Cardiovascular, Departamento de Ciencias de la Salud e Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, 15006 A Coruña, Spain
6
Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER CV), 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2025, 14(23), 8508; https://doi.org/10.3390/jcm14238508
Submission received: 30 September 2025 / Revised: 22 November 2025 / Accepted: 29 November 2025 / Published: 30 November 2025
(This article belongs to the Section Nephrology & Urology)

Abstract

Objectives: The aim was to evaluate the clinical features, management and 1-year outcomes in patients with heart failure (HF) and advanced chronic kidney disease (CKD) who were followed in specialized HF units in Spain. Methods: Data from the registry of the SEC-Excellent-HF quality program of the Spanish Society of Cardiology were analyzed. This registry included 1567 patients between 2019 and 2022 followed by 45 specialized HF units. Clinical features, treatment and 1-year rate of events (death and HF hospitalizations) were compared between the groups of advanced CKD (glomerular filtration rate <30 mL/minute/m2) and GFR ≥ 30 mL/min/m2. Results: 11.1% of patients had a GFR < 30 and 88.9% ≥ 30 mL/min/m2. The median LVEF was similar in groups with GFR < 30 and ≥30 mL/min/m2: 42% (IQR 30–58) versus 38% (IQR 29–54). Advanced CKD patients were older, had more severe HF (previous HF admissions in the last year, worse NYHA functional class and longer evolution time) and had higher prevalence of ischemic heart disease, diabetes mellitus, systemic hypertension, iron deficiency, anemia and hyponatremia. All drugs for HF, except for diuretics and potassium binders, were used in a lower proportion in patients with GFR < 30 mL/min/m2 (p < 0.001). One-year overall mortality (49.2 versus 13.7/100 patients-year; p < 0.001) and one-year HF hospitalizations rate (83.2 versus 30.7/100 patients-year; p < 0.001) were higher in the group of advanced CKD. Conclusions: In our study, patients with advanced CKD had different clinical characteristics, received indicated treatment in a lower proportion and had higher 1-year rates of death and HF admissions.

1. Introduction

Heart failure (HF) is a severe health problem because of its growing incidence and prevalence [1,2] and its poor prognosis and high incidence of severe events, including death [3,4]. Incidence of death and hospitalizations continue to be very high [3,4,5,6,7], in spite of the important advances made in recent years in its treatment.
Prevalence of chronic kidney disease (CKD) is increasing in patients with HF, with HF being an important cause of death and hospital admissions in these patients with renal failure [8]. About 17–50% of patients with HF have CKD, with rates of renal function impairment depending on the severity of CKD and patients’ age [9,10]. Prevalence and mortality of HF increases with worsening renal failure [8]. Renal impairment is an independent predictor for mortality and readmission rate in acute HF [8]. Advanced severe CKD worsens HF prognosis. Drug treatment that increases survival and decreases HF decompensations and hospital admissions is suboptimally prescribed in HF patients with severe kidney function impairment, despite current strong evidence showing the benefits of many of these drugs (renin–angiotensin–aldosterone inhibitors, β-blockers, neprilysin inhibitors and mineralocorticoid receptor antagonists) [11,12,13,14], mainly due to concerns about renal function worsening and hyperkalemia [11,12]. There is growing evidence for the use of sodium–glucose co-transporter 2 inhibitors [15,16,17] in the management of patients with HF and CKD, but few studies have included patients with advanced CKD and patients on dialysis, limiting the knowledge about its efficacy and safety in this condition. This problem will continue to grow, because of the increased survival in these patients, and it is likely that the number of patients with both problems will continue to increase.
In addition, there is not much knowledge regarding patients with more severe renal dysfunction, with GFR < 30 mL/min/m2, since clinical drug trials usually exclude these patients, and, moreover, real-life registries do not separately analyze the degree of renal dysfunction. Thus, the aims of our study were to analyze the prevalence of advanced CKD in a contemporary survey of patients with HF in Spain and to compare clinical characteristics, treatment and 1-year outcomes (overall death and HF decompensations rates) in these two groups of HF patients.

1.1. Methods

The SEC-Excellent-HF Registry is an ongoing, prospective, multicentric, observational study of patients with HF followed in 45 HF units participating in the SEC-Excellent-HF quality program of the Spanish Society of Cardiology. The design and logistics of this program have recently been published [18]. The study met all requirements of the Declaration of Helsinki for research involving human subjects and was approved by the local ethics committees of the participating centers. All patients signed the informed consent document. Each unit included all HF patients in two 1-month cutoffs (March and October) in 2019 to 2022, with 1716 patients included in the registry in this period. Patients completed the 1-year follow-up in December 2023. Of the 1761 patients included, no information was available at 1 year of follow-up in 149 cases (8.7%), so the final analysis was performed on 1567 patients. Follow-up losses were evenly distributed in both GFR groups.

1.2. Inclusion Criteria and Follow-Up

We included inpatients and outpatients with a recent hospital admission (within the previous 3 months) with a primary diagnosis of HF. There were no specific exclusion criteria, other than patients age less than 18 years. Left ventricular ejection fraction was determined at the baseline visit, and HF reduced (HFrEF), mildly reduced (HFmrEF) or preserved (HFpEF) were defined according to the ESC guidelines criteria [7]. Advanced CKD was defined by an estimated CKD-EPI GFR < 30 mL/minute/m2 value at discharge after an HF admission or at the inclusion visit in outpatients. Table 1 and Table 2 show the main clinical and treatment characteristics of our patients at the baseline. A follow-up visit was performed 1 year after inclusion for all patients to obtain information about clinical outcomes (death, HF hospitalizations and decompensations of HF without hospitalization). Death was identified in the clinical history or after a phone call if the patient did not attend the scheduled visit. A hospital admission of more than 24 h with the diagnosis of HF was considered as HF hospitalization [7] Need for intravenous of diuretics or inotropic agent administration or an emergency room visit, without hospital admission, were considered as HF decompensation without hospitalization. Patients who died during the hospital admission that led to inclusion in the study were excluded from the follow-up analysis. All patients were followed-up and treated according to the criteria of their physicians, without any prespecified intervention as part of the registry protocol.

1.3. Statistical Analysis

Qualitative variables are expressed as proportions and continuous variables are presented as median [IQR]. The chi-square test or Fisher’s exact test, in the case of qualitative variables, and the Kruskal–Wallis test for non-parametric continuous variables were used. to compare differences between the two groups of GFR < or ≥30 mL/min/m2. One-year incidences of death, HF admission, HF decompensation without hospital admission and that of the combined event of death/HF admission were calculated and expressed as incidence rates per 100 patient-years. The incidences of the different events were compared between the two subgroups of patients as relative risks (Table 3). A multivariate Cox regression analysis was carried out to determine features independently associated with mortality, and a negative binomial regression model was used to analyze variables associated with HF admissions and decompensations, to correct data overdispersion. Models were performed with a backward procedure, using a value of p < 0.05 to remain in the final model. Variables that were significant in the univariate analysis (p value < 0.10) were included in the multivariate model. The STATA 12.0 statistical package was used for analysis.

2. Results

2.1. Baseline Features and Treatment

Of the 1567 patients, 11.1% had a glomerular filtration rate < 30 mL/min. Patients with advanced CKD were older and had a higher prevalence of hypertension, diabetes mellitus, coronary heart disease, malnutrition, anemia and iron deficiency. There was no difference in the proportion of women. The left ventricular ejection fraction was similar, as was the proportion of HFrEF and HFpEF (Table 1). Etiology was more frequently of ischemic and hypertensive origin in the group with GFR < 30 mL/min/m2.
Patients with GFR < 30 mL/min/m2 received in a lower proportion all drugs with a feasible prognostic effect (Table 2), including betablockers, sacubitril-valsartan, MRA and SGLT2 inhibitors. They also received a smaller proportion of direct oral anticoagulants. They were taking diuretics and potassium chelators in a higher proportion than those in the group with less impaired renal function. These results were similar when the analysis was limited to patients with HFrEF. Patients with HFrEF and GFR < 30 mL/min/m2 received sacubitril-valsartan. They received MRA, betablockers and SGLT2 inhibitors in a significantly lower proportion than those with HFrEF and GFR ≥ 30 mL/min/m2 (Table 3). In the overall series, there were no differences in the use of AIDs and CRT (Table 1), and they underwent a lower proportion of cardiac rehabilitation programs (Table 2). Figure 1 graphically shows the differences in the prescribed drugs between the two groups of patients.

2.2. Incidence of 1-Year Events

Table 4 shows the incidence rates of the different events; 32 of the 1239 patients included during an HF hospitalization episode died during admission (in-hospital mortality 2.6%). During follow-up, 241 deaths, 170 decompensations of HF without hospitalization and 434 admissions for HF were identified. In the overall series, the mortality rate was 16.9/100 patient-years (95% CI: 14.9–19.1) and that of HF decompensation without admission was 11.9 (10.2–13.8), HF admissions was 30.4 (27.7–33.4) and overall decompensations, including admissions, was 42.4 (39.1–45.9) per 100 patient-years.
Mortality, HF hospitalization rate, incidence of HF decompensation and total decompensation rate at 1 year were statistically higher in the group with GFR < 30 mL/min/m2 (p < 0.001 for all events; Table 4). Patients with GFR ≥ 30 mL/min/m2 had a 62% lower mortality, a 56% lower HF admission rate and a 55% lower HF decompensation rate (Table 4). Figure 2 graphically shows the differences in the event incidence between the two groups of patients.
Most deaths, 75.4% of all deaths, were of cardiovascular origin, without differences between both groups (78.1% in patients with GFR < 30 mil/min/m2 versus 74.9% in the other group). Deaths were due to HF progression in 54.6% and 50.3%, to acute myocardial infarction in 9.6% and 10.7%, to stroke in 7.8% and 9.6% and to sudden death in 6.1% and 7.5%, respectively, in both groups. In the multivariate analysis, advanced CKD was significantly associated with all events. The HR for mortality was 1.62 (95% CI: 1.23–2.13). The incidence risk ratio for HF hospitalizations was 1.44 (95% CI: 1.09–1.92), and for HF decompensations it was 1.58 (95% CI: 1.23–2.01) (p < 0.001 for all events). The sensitivity analysis confirmed these results. Other features independently associated with mortality were age (HR 1.03; 95% CI 1.01–1.04), ischemic etiology (HR 1.47; 95% CI 1.13–1.91), HF admissions in the previous year (HR 1.62; 95% CI 1.23–2.13), chronic obstructive pulmonary disease (HR 1.43; 95% CI 1.03–1.97), cancer (HR 1.78; 95% CI 1.18–2.68) and malnutrition (HR 1.76; 95% CI 1.16–2.67). Besides advanced CKD, HF admission in the previous year (HR 2.33; 95% CI 1.25–2.77, ischemic etiology (HR 1.60; 95% CI 1.20–2.14), atrial fibrillation (HR 1.82; 95% CI 1.37–2.41), chronic obstructive pulmonary disease (HR 1.50; 95% CI 1.08–2.08) and anemia (HR 1.36; 95% CI 1.02–1.81) also were independently associated with HF admissions.

3. Discussion

CKD is showing an increased prevalence in HF patients, and HF is commonly diagnosed in patients with CKD, with this magnitude depending on the severity of the CKD and patient age [9,10]. The prognosis of HF is worse in patients with severe impairment of renal function [8], and kidney dysfunction is independently associated with higher mortality of patients with acute HF [8]. But there are few studies that have specifically analyzed the impact of advanced CKD, with GFR < 30 mL/min/m2, on the prognosis of HF, as well as on its pharmacological treatment, because HF registries do not distinguish the degree of renal function impairment [3,19,20,21,22], and clinical trials exclude these patients [14,15,16,17,23,24]. Our study specifically analyzes the results in HF and advanced CKD, comparing clinical features, treatment and outcomes between patients with GFR < or ≥30 mL/min/m2. Prevalence of advanced CKD was high, 11.1% in our study, without differences according to the type of HF (HFrEF, HFmrEF or HFpEF). As shown in Table 3, 10.4% of patients with HFrEF had a GFR < 30 mL/min/m2, a proportion similar to that found in the overall series.
Other main results on our study indicate that patients with HF and advanced CKD receive a significantly lower proportion of the drugs with a favorable prognostic effect in HF (Table 2 and Table 3) and that the incidence of serious events at one year of follow-up (death, admissions and HF decompensations) is 2 to 3 times higher in this group, as shown in Table 4. Patients with advanced CKD were older and had a higher prevalence of hypertension, diabetes mellitus, coronary heart disease, malnutrition, anemia and iron deficiency, and etiology was more frequently of ischemic and hypertensive origin in the group with GFR < 30 mL/min/m2. This higher risk profile and prevalence of severe comorbidities may influence this worse prognosis, but in the multivariate study, a GFR < 30 mL/min/m2 was associated with a higher total mortality and incidence of HF admissions and decompensations at one year. Advanced CKD was strongly associated with such events, with a hazard ratio of 1.63 for mortality, 1.44 for HF admissions and 1.58 for HF decompensation at 1 year. These figures are higher than those shown by several recent European registries, which only analyze globally the impact of the existence of renal dysfunction, defined by a GFR < 90 or <60 mL/min/m2, without separating the degree of severity of renal failure [3,4,19,20,21,22].
Once the degree of renal function impairment has already reached a high level of severity, the prognosis of patients worsens, and it is difficult to reduce the incidence of events. Therefore, it would be important to initiate drug treatment with favorable prognostic effect in patients with HF, especially with HFrEF, but also in HFpEF and HFmrEF, in less advanced stages of CKD, I to III, when these treatments can be introduced and optimized with certain safety [13,14,15,16,17]. There are several mechanisms that can influence the interaction between the drugs used for the treatment of HF and renal function, either favorably or unfavorably, such as neurohormonal activation, altered potassium homeostasis and drug metabolism changes [8]. In any case, even in patients with GFR < 30 mL/min/m2, pharmacological treatment should be introduced, prioritizing drugs with lower risk of renal function deterioration, such as betablockers and SGLT2 inhibitors, and even sacubitril-valsartan, closely monitoring renal function and serum potassium, to improve the prognosis of these patients. It is difficult to speculate about the effects of MRA and SGLT2 inhibitors in patients with HF and severe CKD, since MRA can affect kidney function and cause hyperkalemia, and there are few studies on the effect of SGLT2 inhibitors in these patients. Probably because of this, the proportion of patients in the group with GFR < 30 is very low, so reliable conclusions cannot be drawn. Specific studies need to be conducted in this regard. It is possible that the introduction of new MRA, such as finerenone, with a greater protective effect on renal function impairment [24,25], may help to improve this problem.
In a recent meta-analysis [26], the authors have evaluated the role of different drugs in various subgroups of patients with HF, including CKD. Three of them significantly reduce cardiovascular mortality/hospitalizations for HF among patients with eGFR <60 mL/min/m2 compared to placebo: sacubitril/valsartan, SGLT2 inhibitors (mainly dapagliflozin) and vericiguat. Although the study does not specifically include only patients with GFR < 30 mL/min/m2, the beneficial effects of dapagliflozin also may extend to patients with lower GFR.

4. Limitations and Conclusions

Our study has several limitations. First, it is an observational study but in the same way as most registries and surveys. Although kidney function may have varied throughout the study, the criterion for considering that a patient had a GFR < 30 mL/min/m2 was the value at study inclusion, either at discharge in the patients included during a decompensation episode or at the baseline visit in outpatients. Thus, it is not possible to differentiate the impact of an acute deterioration of kidney function, although the GFR one year after inclusion was still < 30 mL/min/m2 in most cases. The value of proteinuria was also not analyzed, as this data was missing in many patients. Another limitation is the lack of use of drugs that we know today have a favorable prognostic effect, recommended by clinical practice guidelines, but whose evidence was not available at the time of inclusion of patients in the registry, such as SGLT2 inhibitors. However, it covers a very recent period and has the strength of the mandatory participation of all the centers that received the quality accreditation of our program, which reduces the inclusion bias. Since data are collected only in specialized HF units, this fact can limit the generalizability of the results. With these limitations in mind, it can be concluded from our results that patients with HF and advanced CKD receive a significantly lower proportion of drugs with a favorable prognostic effect in HF and that the incidence of serious events at one year of follow-up (death, admissions and HF decompensations) was 2 to 3 times that in patients with a less severe degree of renal dysfunction. A greater effort in the prevention of renal damage and a better optimization of treatment, including new drugs with nephroprotective effects, may help to improve this unfavorable prognosis.

Author Contributions

Conceptualization: M.A.-G., J.H.-F., J.L.B.-P., and M.A.-S.; methodology: M.A.-G., J.H.-F., J.L.B.-P., A.R.-M., R.G.-M., J.C.C.D., J.L.-A., J.M., and M.A.-S.; software, M.A.-S.; validation; M.A.-G., J.H.-F., J.L.B.-P., A.R.-M., R.G.-M., J.M., and M.A.-S.; formal analysis, M.A.-G., J.H.-F., R.G.-M., and M.A.-S.; investigation, M.A.-G., J.H.-F., J.C.C.D., J.L.-A., J.M., and M.A.-S.; resources, M.A.-G., R.G.-M., J.C.C.D., and M.A.-S.; data curation, J.C.C.D., J.L.-A., R.G.-M., J.M., and M.A.-S.; writing—original draft preparation, M.A.-G., and J.H.-F.; writing—review and editing, M.A.-G., J.H.-F., J.L.B.-P., A.R.-M., and M.A.-S.; visualization, M.A.-G., and M.A.-S.; supervision, R.G.-M., J.C.C.D., J.L.-A., and M.A.-S.; project administration, M.A.-S. All authors have read and agreed to the published version of the manuscript.

Funding

The SEC-Excelente accreditation program in heart failure has been sponsored by unconditional grants from Servier and Rovi to the Spanish Society of Cardiology. The SEC-Excelente-IC registry has been funded by an unconditional grant from Rovi.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of Comite de Etica de la Investigacion del Principado de Asturias (protocol code 124/18 and date of approval 27 March 2018).

Informed Consent Statement

All patients gave their informed consent document prior to their inclusion in the study.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

  1. Anguita Sánchez, M.; Crespo Leiro, M.G.; de Teresa Galván, E.; Navarro, M.J.; Alonso-Pulpón, L.; García, J.M.; PRICE Study Investigators. Prevalence of heart failure in Spanish general population aged over 45 years. The PRICE study. Rev. Esp. Cardiol. 2008, 61, 1041–1049. [Google Scholar] [CrossRef]
  2. Groenewegen, A.; Rutter, F.H.; Mosterd, A.; Hoes, A.W. Epidemiology of heart failure. Eur. J. Heart Fail. 2020, 22, 1342–1356. [Google Scholar] [CrossRef]
  3. Chioncel, O.; Lainscak, M.; Seferovic, P.M.; Anker, S.D.; Crespo-Leiro, M.G.; Harjola, V.; Parissis, J.; Laroche, C.; Piepoli, M.F.; Fonseca, C.; et al. Epidemiology and one-year outcomes in patients with chronic heart failure and preserved, mid-range and reduced dejection fraction: An analysis of the ESC Heart Failure Lon-Term Registry. Eur. J. Heart Fail. 2017, 19, 1574–1585. [Google Scholar] [CrossRef] [PubMed]
  4. Maggioni, A.P.; Anker, S.D.; Dahlström, U.; Filippatos, G.; Ponikowski, P.; Zannad, F.; Amir, O.; Chioncel, O.; Leiro, M.C.; Drozdz, J.; et al. Are hospitalized or ambulatory patients with heart failure treated in accordance with ESC guidelines? Evidence from 12.440 patients of the ESC Heart Failure Long-term registry. Eur. J. Heart Fail. 2013, 15, 1173–1184. [Google Scholar] [CrossRef]
  5. Bonilla-Palomas, J.L.; Anguita-Sánchez, M.P.; Elola-Somoza, F.J.; Bernal-Sobrino, J.L.; Fernández-Pérez, C.; Ruiz-Ortíz, M.; Jiménez-Navarro, M.; Bueno-Zamora, H.; Cequier-Fillat, Á.; Marín-Ortuño, F. Thirteen-year trends in hospitalization and outcomes of patients with heart failure in Spain. Eur. J. Clin. Investig. 2021, 51, e13606. [Google Scholar] [CrossRef]
  6. Anguita Sánchez, M.; Bonilla Palomas, J.L.; García Márquez, M.; Bernal Sobrino, J.L.; Fernández Pérez, C.; Elola Somoza, F.J. Temporal trends in hospitalizations and in-hospital mortality in heart failure in Spain 2003–2015, differences between autonomous communities. Rev. Esp. Cardiol. 2020, 73, 1075–1077. [Google Scholar] [CrossRef]
  7. McDonagh, T.; Metra, M.; Adamo, M.; Gardner, R.S.; Baumbach, A.; Böhm, M.; Burri, H.; Butler, J.; Čelutkienė, J.; Chioncel, O.; et al. 2023 focused update of the 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur. Heart J. 2023, 44, 3627–3639. [Google Scholar] [CrossRef]
  8. House, A.A.; Wanner, C.; Sarnak, M.J.; Piña, I.L.; McIntyre, C.W.; Komenda, P.; Kasiske, B.L.; Deswal, A.; Defilippi, C.R.; Cleland, J.G.F.; et al. Heart failure in chronic kidney disease: Conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2019, 95, 1304–1317. [Google Scholar] [CrossRef]
  9. Kottgen, A.; Russell, S.D.; Loehr, L.R.; Crainiceanu, C.M.; Rosamond, W.D.; Chang, P.P.; Chambless, L.E.; Coresh, J. Reduced kidney function as a risk factor for incident heart failure: The Atherosclerosis Risk In Communities (ARIC) study. J. Am. Soc. Nephrol. 2007, 18, 1307–1315. [Google Scholar] [CrossRef] [PubMed]
  10. Saran, R.; Robinson, B.; Abbott, K.C.; Bragg-Gresham, J.; Chen, X.; Gipson, D.; Gu, H.; Hirth, R.A.; Hutton, D.; Jin, Y.; et al. US Renal Data System 2019 annual data report: Epidemiology of kidney disease in the United States. Am. J. Kidney Dis. 2020, 75 (Suppl. S1), A6–A7. [Google Scholar] [CrossRef] [PubMed]
  11. Clark, A.L.; Kalra, P.R.; Petrie, M.C.; Mark, P.B.; Tomlinson, L.A.; Tomson, C.R.V. Change in renal function associated with drug treatment in heart failure: National guidance. Heart 2019, 105, 904–910. [Google Scholar] [CrossRef]
  12. Zheng, S.L.; Chan, F.T.; A Nabeebaccus, A.; Shah, A.M.; McDonagh, T.; O Okonko, D.; Ayis, S. Drug treatment effects on outcomes in heart failure with preserved ejection fraction: A systematic review and meta-analysis. Heart 2018, 104, 407–415. [Google Scholar] [CrossRef]
  13. Zannad, F.; McMurray, J.J.; Krum, H.; van Veldhuisen, D.J.; Swedberg, K.; Shi, H.; Vincent, J.; Pocock, S.J.; Pitt, B. Eplerenone in patients with systolic heart failure and mild symptoms. N. Engl. J. Med. 2011, 364, 11–21. [Google Scholar] [CrossRef] [PubMed]
  14. Pitt, B.; Pfeffer, M.A.; Assmann, S.F.; Boineau, R.; Anand, I.S.; Claggett, B.; Clausell, N.; Desai, A.S.; Diaz, R.; Fleg, J.L.; et al. Spironolactone for heart failure with preserved ejection fraction. N. Engl. J. Med. 2014, 370, 1383–1392. [Google Scholar] [CrossRef] [PubMed]
  15. McMurray, J.J.V.; Solomon, S.D.; Inzucchi, S.E.; Køber, L.; Kosiborod, M.N.; Martinez, F.A.; Ponikowski, P.; Sabatine, M.S.; Anand, I.S.; Bělohlávek, J.; et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. N. Engl. J. Med. 2019, 381, 1995–2008. [Google Scholar] [CrossRef]
  16. Packer, M.; Anker, S.D.; Butler, J.; Filippatos, G.; Pocock, S.J.; Carson, P.; Januzzi, J.; Verma, S.; Tsutsui, H.; Brueckmann, M.; et al. Cardiovascular and renal outcomes with empagliflozin in heart failure. N. Engl. J. Med. 2020, 383, 1413–1424. [Google Scholar] [CrossRef] [PubMed]
  17. Zannad, F.; Ferreira, J.P.; Pocock, S.J.; Anker, S.D.; Butler, J.; Filippatos, G.; Brueckmann, M.; Ofstad, A.P.; Pfarr, E.; Jamal, W.; et al. SGLT2 inhibitors in patients with heart failure with reduced ejection fraction: A meta-analysis of the EMPEROR-Reduced and DAPA-HF trials. Lancet 2020, 396, 819–829. [Google Scholar] [CrossRef]
  18. Anguita Sánchez, M.; Recio Mayoral, A.; Rodríguez Padial, L. Improving the quality of health care. Results of the SEC-Excelente accreditation program in heart failure of the Spanish Society of Cardiology. Rev. Esp. Cardiol. 2024, 77, 602–606. [Google Scholar] [CrossRef]
  19. Maggioni, A.P.; Dahlström, U.; Filippatos, G.; Chioncel, O.; Leiro, M.C.; Drozdz, J.; Fruhwald, F.; Gullestad, L.; Logeart, D.; Fabbri, G.; et al. EURObservational Research programme: Regional differences and 1-year follow-up results of the Heart Failure Pilot Survey (ESC-HF Pilot). Eur. J. Heart Fail. 2013, 15, 808–817. [Google Scholar] [CrossRef]
  20. Schmidt, M.; Ulrichsen, S.P.; Pedersen, L.; Botker, H.E.; Sorensen, H.T. Thirty-year trends in heart failure hospitalization and mortality rates and the prognostic impact of comorbidity: A Danish nation-wide cohort study. Eur. J. Heart Fail. 2016, 18, 490–499. [Google Scholar] [CrossRef]
  21. Conrad, N.; Judge, A.; Canoy, D.; Tran, J.; Pinho-Gomes, A.C.; Millett, E.R.; Salimi-Khorshidi, G.; Cleland, J.G.; McMurray, J.J.; Rahimi, K. Temporal trends and patterns in mortality after incident heart failure: A longitudinal analysis of 86,000 individuals. JAMA Cardiol. 2019, 4, 1102–1111. [Google Scholar] [CrossRef]
  22. Esteban-Fernández, A.; Anguita-Sánchez, M.; Bonilla-Palomas, J.L.; Anguita-Gámez, M.; Rosillo, N.; del Prado, N.; Bernal, J.L.; Fernández-Pérez, C.; Fernández-Rozas, I.; Gómez-Doblas, J.J.; et al. One-year readmissions for circulatory diseases and in-hospital mortality after an index episode of heart failure in elderly patients. A nationwide data from public hospitals in Spain between 2016 and 2018. Clin. Res. Cardiol. 2023, 112, 1119–1128. [Google Scholar] [CrossRef]
  23. Pabon, M.; Cunningham, J.; Claggett, B.; Felker, G.M.; McMurray, J.J.; Metra, M.; Diaz, R.; Wang, X.; Arias-Mendoza, A.; Bonderman, D.; et al. Sex differences in heart failure with reduced ejection fraction in the GALACTIC-HF trial. JACC Heart Fail. 2023, 11, 1729–1738. [Google Scholar] [CrossRef] [PubMed]
  24. Solomon, S.D.; McMurray, J.J.; Vaduganathan, M.; Claggett, B.; Jhund, P.S.; Desai, A.S.; Henderson, A.D.; Lam, C.S.; Pitt, B.; Senni, M.; et al. Finerenone in Heart Failure with Mildly Reduced or Preserved Ejection Fraction. N. Eng. J. Med. 2024, 391, 1475–1485. [Google Scholar] [CrossRef] [PubMed]
  25. Agarwal, R.; Green, J.B.; Heerspink, H.J.; Mann, J.F.; McGill, J.B.; Mottl, A.K.; Rosenstock, J.; Rossing, P.; Vaduganathan, M.; Brinker, M.; et al. Finerenone with Empagliflozin in Chronic Kidney Disease and Type 2 Diabetes. N. Eng. J. Med. 2025. [Google Scholar] [CrossRef]
  26. Lavalle, C.; Mariani, M.V.; Severino, P.; Palombi, M.; Trivigno, S.; D’aMato, A.; Silvetti, G.; Pierucci, N.; Di Lullo, L.; Chimenti, C.; et al. Efficacy of Modern Therapies for Heart Failure with Reduced Ejection Fraction in Specific Population Subgroups: A Systematic Review and Network Meta-Analysis. Cardiorenal Med. 2024, 14, 570–580. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Prescribed drugs in the 2 subgroups of the glomerular filtration rate. ACEI: angiotensin converting enzyme inhibitors. ARB: angiotensin receptor blockers. MRA: mineral receptor antagonists. K: potassium.
Figure 1. Prescribed drugs in the 2 subgroups of the glomerular filtration rate. ACEI: angiotensin converting enzyme inhibitors. ARB: angiotensin receptor blockers. MRA: mineral receptor antagonists. K: potassium.
Jcm 14 08508 g001
Figure 2. Event rates at 1 year, in the two subgroups of the glomerular filtration rate. HF: heart failure. GFR: glomerular filtration rate.
Figure 2. Event rates at 1 year, in the two subgroups of the glomerular filtration rate. HF: heart failure. GFR: glomerular filtration rate.
Jcm 14 08508 g002
Table 1. Demographic characteristics, risk factors, comorbidities and history of heart failure in patients with glomerular filtration rate < or % ≥30 mL/min/m2.
Table 1. Demographic characteristics, risk factors, comorbidities and history of heart failure in patients with glomerular filtration rate < or % ≥30 mL/min/m2.
All n = 1567GFR < 30 mL/min/m2 n = 174 (11.1%)GFR ≥ 30 mL/min/m2 n = 1393 (88.9%)p Value
Age (years)71 (63–87)76 (63–88)70 (60–85)<0.001
Female sex37.1%39.7%36.4%0.741
Hypertension72.9%85.5%71.1%<0.001
Diabetes mellitus43.8%59.9%41.1%<0.001
Coronary artery disease31.6%40.8%28.9%0.001
Coronary revascularization31.3%37.4%30.7%0.013
Stroke9.8%11.1%9.6%0.535
Malnutrition4.5%8.2%4.1%0.016
Anemia34.4%63.6%30.6%<0.001
Cancer6.5%8.1%6.1%0.292
Atrial fibrillation52.5%49.5%53.5%0.015
Permanent atrial fibrillation28.4%23.2%27.6%<0.001
Chronic pulmonary obstructive disease17.0%16.3%17.4%0.644
Ferropenia33.8%42.9%32.6%0.007
LVEF (%)39 (29–58)42 (30–58)38 (29–54)0.063
HFrEF55.5%56.7%52.8%0.246
De novo HF49.5%35.7%52.4%<0.001
HF admissions within the previous year33.5%48.3%31.3%<0.001
Previous CRT7.9%8.2%7.8%0.730
Previous AID14.5%12.6%14.8%0.735
HF etiology <0.001
- 
Ischemic
31.6%39.1%30.5%
- 
Hypertensive
8.2%13.8%6.9%
- 
Idiopathic
13.7%5.7%15.2%
- 
Valvular
17.4%16.1%17.6%
- 
Tachycardiomyopathy
12.3%7.5%13.5%
NHYA III-IV class60.8%77.3%58.5%<0.001
Left bundle branch block23.7%26.6%23.7%0.409
Body mass index (kg/m2)28 (24–33)28 (24–33)28 (25–33)0.643
Glomerular filtration rate (mL/min/m2)59 (23–75)27 (21–29)65 (38–75)<0.001
Hemoglobin (g/dL)13 (9–14)11 (9–12)13 (9–14)<0.001
NTproBNP (ng/mL)4543 (2653–9631)9665 (4265–17,642)3286 (2364–6498)<0.001
GFR: glomerular filtration rate. HF: heart failure. LVEF: left ventricular ejection fraction. HFrEF: heart failure with reduced ejection fraction. CRT: cardiac resynchronization therapy. AID: automatic implantable cardioverter.
Table 2. Treatment at the inclusion visit in the registry for patients with glomerular filtration rate < or % ≥30 mL/min/m2.
Table 2. Treatment at the inclusion visit in the registry for patients with glomerular filtration rate < or % ≥30 mL/min/m2.
All n = 1567GFR < 30 mL/min/m2 n = 174 (11.1%)GFR ≥ 30 mL/min/m2 n = 1393 (88.9%)p Value
ACEI/ARB36.6%29.3%37.2%<0.001
Sacubitril-valsartan38.0%17.2%40.6%<0.001
Mineral receptor antagonists56.6%22.9%61.1%<0.001
Betablockers80.0%69.5%81.3%<0.001
SGLT2 inhibitors40.1%26.6%42.7%<0.001
Diuretics84.9%90.2%83.6%0.024
Digoxin8.2%5.2%10.3%0.139
Ivabradine9.1%7.5%9.4%0.404
Antiplatelets32.9%37.8%32.1%0.136
Oral anticoagulants57.8%50.6%59.4%0.007
Direct anticoagulants39.8%29.3%41.7%<0.001
Potassium chelators1.9%4.1%1.6%0.024
Cardiac rehabilitation program9.6%5.2%11.1%0.020
GFR: glomerular filtration rate. ACEI: angiotensin converting enzyme inhibitors. ARB: angiotensin receptor blockers.
Table 3. Pharmacological treatment at the inclusion visit in the subgroup of patients with heart failure with reduced left ventricular ejection fraction according to glomerular filtration rate < or ≥30 mL/min/m2.
Table 3. Pharmacological treatment at the inclusion visit in the subgroup of patients with heart failure with reduced left ventricular ejection fraction according to glomerular filtration rate < or ≥30 mL/min/m2.
GFR < 30 mL/min/m2 n = 91 (10.4%)GFR ≥ 30 mL/min/m2 n = 779 (89.6%)p Value
ACEI/ARB19.5%29.2%0.063
Sacubitril-valsartan30.5%59.2%<0.001
Mineral receptor antagonists31.7%77.8%<0.001
Betablockers76.8%89.5%0.001
SGLT2 inhibitors34.1%52.9%0.001
Diuretics91.4%81.7%0.031
Digoxin7.3%8.8%0.837
Ivabradine14.6%14.1%0.888
Antiplatelets43.9%37.6%0.267
Oral anticoagulants47.6%52.5%0.005
Direct anticoagulants21.9%37.4%0.005
Potassium chelators3.6%1.9%0.405
GFR: glomerular filtration rate. ACEI: angiotensin converting enzyme inhibitors. ARB: angiotensin receptor blockers.
Table 4. Overall incidence rate of the events of interest and according to glomerular filtration rate < or ≥30 mL/min/m2. Rate expressed in events/100 patient-years.
Table 4. Overall incidence rate of the events of interest and according to glomerular filtration rate < or ≥30 mL/min/m2. Rate expressed in events/100 patient-years.
Event NumberIncidence Rate95% CIRelative Risk95% CIp Value
Mortality
GFR < 305137.2628.3249.03Reference
FG ≥ 3017214.4412.4416.770.380.280.53<0.001
HF hospitalization
GFR < 308461.3749.5676.00Reference
GFR ≥ 3032827.5524.7230.690.440.350.57<0.001
Death/HF hospitalization
GFR < 307764.2651.4080.35Reference
GFR ≥ 3032829.8926.8233.300.460.360.59<0.001
HF decompensation without hospitalization
GFR < 303324.1117.1433.91Reference
GFR ≥ 3013111.009.2713.060.450.310.66<0.001
All HF decompensation
GFR < 3011785.4871.31102.46Reference
GFR ≥ 3045938.5535.1842.240.450.360.55<0.001
CI: confidence interval. GFR: glomerular filtration rate (mL/min/m2).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Anguita-Gámez, M.; Herrera-Flores, J.; Bonilla-Palomas, J.L.; Recio-Mayoral, A.; González-Manzanares, R.; Castillo Domínguez, J.C.; López-Aguilera, J.; Muñiz, J.; Anguita-Sánchez, M. Clinical Features and Outcomes of Patients with Heart Failure and Advanced Chronic Kidney Disease. J. Clin. Med. 2025, 14, 8508. https://doi.org/10.3390/jcm14238508

AMA Style

Anguita-Gámez M, Herrera-Flores J, Bonilla-Palomas JL, Recio-Mayoral A, González-Manzanares R, Castillo Domínguez JC, López-Aguilera J, Muñiz J, Anguita-Sánchez M. Clinical Features and Outcomes of Patients with Heart Failure and Advanced Chronic Kidney Disease. Journal of Clinical Medicine. 2025; 14(23):8508. https://doi.org/10.3390/jcm14238508

Chicago/Turabian Style

Anguita-Gámez, María, Javier Herrera-Flores, Juan L. Bonilla-Palomas, Alejandro Recio-Mayoral, Rafael González-Manzanares, Juan C. Castillo Domínguez, José López-Aguilera, Javier Muñiz, and Manuel Anguita-Sánchez. 2025. "Clinical Features and Outcomes of Patients with Heart Failure and Advanced Chronic Kidney Disease" Journal of Clinical Medicine 14, no. 23: 8508. https://doi.org/10.3390/jcm14238508

APA Style

Anguita-Gámez, M., Herrera-Flores, J., Bonilla-Palomas, J. L., Recio-Mayoral, A., González-Manzanares, R., Castillo Domínguez, J. C., López-Aguilera, J., Muñiz, J., & Anguita-Sánchez, M. (2025). Clinical Features and Outcomes of Patients with Heart Failure and Advanced Chronic Kidney Disease. Journal of Clinical Medicine, 14(23), 8508. https://doi.org/10.3390/jcm14238508

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop