Submitted:
01 October 2025
Posted:
06 October 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
Inclusion Criteria and Follow-Up
Statistical Analysis
3. Results
Baseline Features and Treatment
Incidence of Events at One Year of Follow-Up

Predictors of Events (Multivariate Study)
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Anguita Sánchez M, Crespo Leiro MG, de Teresa Galván E, et al. Prevalence of heart failure in Spanish general population aged over 45 years. The PRICE study. Rev Esp Cardiol 2008;61:1041-9.
- Groenewegen A, Rutter FH, Mosterd A, Hoes AW. Epidemiology of heart failure. Eur J Heart Fail 2020;22:1342-56.
- Chioncel O, Lainscak M, Seferovic PM, 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; 19:1574-85. [CrossRef]
- Maggioni AP, Anker SD, Dahlstrom U, 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;15:1173-84. [CrossRef]
- Bonilla Palomas JL, Anguita Sánchez MM, Elola Somoza FJ, et al. Thirteen-year trends in hospitalization and outcomes of patients with heart failure in Spain. Eur J Clin Invest 2021;51:e13606. [CrossRef]
- Anguita Sánchez, M. Bonilla Palomas JL, García Márquez M, et al. Temporal trends in hospitalizations and in-hospital mortality in heart failure in Spain 2003-2015: differences between autonomous communities. Rev Esp Cardiol 2020;73:1075-7.
- McDonagh TA, Metra M, Adamo M, 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;44:3627-39. [CrossRef]
- House AA, Wanner C, Sarnak MJ et al. Heart failure in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2019;95:1304–17. [CrossRef]
- Kottgen A, Russell SD, Loehr LR et al. Reduced kidney function as a risk factor for incident heart failure: the Atherosclerosis Risk In Communities (ARIC) study. J Am Soc Nephrol. 2007;18:1307–15. [CrossRef]
- Saran R, Robinson B, Abbott KC 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 1): A6–7. [CrossRef]
- Clark AL, Kalra PR, Petrie MC et al. Change in renal function associated with drug treatment in heart failure: national guidance. Heart. 2019;105:904–10. [CrossRef]
- Zheng SL, Chan FT, Nabeebaccus AA et al. Drug treatment effects on outcomes in heart failure with preserved ejection fraction: a systematic review and meta-analysis. Heart. 2018;104:407–15. [CrossRef]
- Zannad F, McMurray JJV, Krum H et al. Eplerenone in patients with systolic heart failure and mild symptoms. N Engl J Med. 2011;364:11–21. [CrossRef]
- Pitt B, Pfeffer MA, Assmann SF et al. Spironolactone for heart failure with preserved ejection fraction. N Engl J Med. 2014;370:1383–92. [CrossRef]
- McMurray JJV, Solomon SD, Inzucchi SE et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. N Engl J Med. 2019;381:1995–2008. [CrossRef]
- Packer M, Anker SD, Butler J et al. Cardiovascular and renal outcomes with empagliflozin in heart failure. N Engl J Med. 2020;383:1413–24. [CrossRef]
- Zannad F, Ferreira JP, Pocock SJ 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;396:819–29. [CrossRef]
- 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. [CrossRef]
- Maggioni AP, Dahlstrom U, Filippatos 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;15:808-17.
- Schmidt M, Ulrichsen SP, Pedersen L, Botker HE, Sorensen HT. 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;18:490-9.
- Conrad N, Judge A, Canoy D, et al. Temporal trends and patterns in mortality after incident heart failure: a longitudinal analysis of 86000 individuals. JAMA Cardiol 2019;4:1102-11.
- Esteban-Fernández A, Anguita-Sánchez M, Bonilla-Palomas JL, 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;112:1119-28.
- Pabon M, Cunnigham J, Claggett B, et al. Sex differences in heart failure with reduced ejection fraction in the GALACTIC-HF trial. JACC Heart Failure 2023;11:1729-38.
- Solomon SD, McMurray JJV, Vaduganathan M, et al. Finerenone in Heart Failure with Mildly Reduced or Preserved Ejection Fraction. N Eng J Med2024;391:1475-1485.
- Agarwal R, Green JB, Heerspink HJL, et al. Finerenone with Empagliflozin in Chronic Kidney Disease and Type 2 Diabetes. N Eng J Med 2025. [CrossRef]

| All n=1,567 | GFR < 30 ml/min/m2 n=174 (11.1%) | GFR ≥ 30 mL/min/m2 n=1,393 (88.9%) | P value | |
| Age (years) | 71.2±12.5 | 76.9±9.7 | 70.6±12.7 | <0.001 |
| Female sex | 37.1% | 39.7% | 36.4% | 0.741 |
| Hypertension | 72.9% | 85.5% | 71.1% | <0.001 |
| Diabetes mellitus | 43.8% | 59.9% | 41.1% | <0.001 |
| Coronary artery disease | 31.6% | 40.8% | 28.9% | 0.001 |
| Coronary revascularization | 31.3% | 37.4% | 30.7% | 0.013 |
| Stroke | 9.8% | 11.1% | 9.6% | 0.535 |
| Malnutrition | 4.5% | 8.2% | 4.1% | 0.016 |
| Anemia | 34.4% | 63.6% | 30.6% | <0,001 |
| Cancer | 6.5% | 8.1% | 6.1% | 0.292 |
| Atrial fibrillation | 52.5% | 49.5% | 53.5% | 0,015 |
| Permanent atrial fibrillation | 28.4% | 23.2% | 27.6% | <0.001 |
| Chronic pulmonary obstructive disease | 17.0% | 16.3% | 17.4% | 0.644 |
| Ferropenia | 33.8% | 42.9% | 32.6% | 0.007 |
| LVEF (%) | 40.8±15.8 | 42.8±16.0 | 40.5±15.6 | 0.063 |
| HFrEF | 55.5% | 56.7% | 52.8% | 0.246 |
| De novo HF | 49.5% | 35.7% | 52.4% | <0.001 |
| HF admissions within the previous year | 33.5% | 48.3% | 31.3% | <0.001 |
| Previous CRT | 7.9% | 8.2% | 7.8% | 0.730 |
| Previous AID | 14.5% | 12.6% | 14.8% | 0.735 |
| HF etiology | <0.001 | |||
|
31.6% | 39.1% | 30.5% | |
|
8.2% | 13.8% | 6.9% | |
|
13.7% | 5.7% | 15.2% | |
|
17.4% | 16.1% | 17.6% | |
|
12.3% | 7.5% | 13.5% | |
| NHYA III-IV class | 60.8% | 77.3% | 58.5% | <0.001 |
| Left bundle branch block | 23.7% | 26.6% | 23.7% | 0.409 |
| Body mass index (Kg/m2) | 28.2±6.1 | 28.5±6.5 | 28.2±6.1 | 0.643 |
| Glomerular filtration rate (ml/min/m2) | 59.0±23.4 | 26.7±3.5 | 65.8±24.2 | <0.001 |
| Hemoglobyn (g/dl) | 13.0±2.2 | 11.7±2.1 | 13.2±2.2 | <0,001 |
| NTproBNP (ng/ml) | 4239±6886 | 9775±11661 | 3464±5486 | <0.001 |
| All n=1,567 | GFR < 30 ml/min/m2 n=174 (11.1%) | GFR ≥ 30 mL/min/m2 n=1,393 (.9%) | P value | |
| ACEI/ARB | 36.6% | 29.3% | 37.2% | <0.001 |
| Sacubitril-valsartan | 38.0% | 17.2% | 40.6% | <0.001 |
| Mineral receptor antagonists | 56.6% | 22.9% | 61.1% | <0.001 |
| Betablockers | 80.0% | 69.5% | 81.3% | <0.001 |
| SGLT2 inhibitors | 40.1% | 26.6% | 42.7% | <0.001 |
| Diuretics | 84.9% | 90.2% | 83.6% | 0.024 |
| Digoxin | 8.2% | 5.2% | 10.3% | 0.139 |
| Ivabradine | 9.1% | 7.5% | 9.4% | 0.404 |
| Antiplatelets | 32.9% | 37.8% | 32.1% | 0.136 |
| Oral anticoagulants | 57.8% | 50.6% | 59.4% | 0.007 |
| Direct anticoagulants | 39.8% | 29.3% | 41.7% | <0.001 |
| Potassium chelators | 1.9% | 4.1% | 1.6% | 0.024 |
| Cardiac rehabilitation program | 9.6% | 5.2% | 11.1% | 0.020 |
| GFR < 30 ml/min/m2 n=91 (10.4%) | GFR ≥ 30 mL/min/m2 n=779 (89.6%) | P value | |
| ACEI/ARB | 19.5% | 29.2% | 0.063 |
| Sacubitril-valsartan | 30.5% | 59.2% | <0.001 |
| Mineral receptor antagonists | 31.7% | 77.8% | <0.001 |
| Betablockers | 76.8% | 89.5% | 0.001 |
| SGLT2 inhibitors | 34.1% | 52.9% | 0.001 |
| Diuretics | 91.4% | 81.7% | 0.031 |
| Digoxin | 7.3% | 8.8% | 0.837 |
| Ivabradine | 14.6% | 14.1% | 0.888 |
| Antiplatelets | 43.9% | 37.6% | 0.267 |
| Oral anticoagulants | 47.6% | 52.5% | 0.005 |
| Direct anticoagulants | 21.9% | 37.4% | 0.005 |
| Potassium chelators | 3.6% | 1.9% | 0.405 |
| Events number | Incidence rate | 95% CI | Relative risk | 95% CI | P value | |||
| Mortality | ||||||||
| GFR < 30 | 51 | 37.26 | 28.32 | 49.03 | Reference | |||
| FG ≥ 30 | 172 | 14.44 | 12.44 | 16.77 | 0.38 | 0.28 | 0.53 | <0.001 |
| HF hospitalization | ||||||||
| GFR < 30 | 84 | 61.37 | 49.56 | 76,00 | Reference | |||
| GFR ≥ 30 | 328 | 27.55 | 24.72 | 30.69 | 0.44 | 0.35 | 0.57 | <0.001 |
| Death/HF hospitalization | ||||||||
| GFR < 30 | 77 | 64.26 | 51.40 | 80.35 | Reference | |||
| GFR ≥ 30 | 328 | 29.89 | 26.82 | 33.30 | 0.46 | 0.36 | 0,59 | <0.001 |
| HF decompensation without hospitalization | ||||||||
| GFR < 30 | 33 | 24.11 | 17.14 | 33.91 | Reference | |||
| GFR ≥ 30 | 131 | 11.00 | 9,27 | 13.06 | 0.45 | 0.31 | 0,66 | <0.001 |
| All HF decompensation | ||||||||
| GFR < 30 | 117 | 85.48 | 71.31 | 102.46 | Reference | |||
| GFR ≥ 30 | 459 | 38.55 | 35.18 | 42.24 | 0.45 | 0.36 | 0.55 | <0.001 |
| DEATH | ||||
| HR | 95% CI | P value | ||
| Hospitalized during inclusion | 2.20 | 1.47 | 3.29 | <0.001 |
| Age | 1.03 | 1.01 | 1.04 | 0.001 |
| Ischemic etiology | 1.47 | 1.13 | 1.91 | 0.004 |
| NYHA class III-IV | 1.46 | 1.04 | 2.05 | 0.029 |
| Previous follow-up in a heart failure unit | 1.66 | 1.25 | 2.21 | 0.001 |
| HF admissions in the previous year | 1.62 | 1.23 | 2.13 | 0.001 |
| Advanced CKD | 1.63 | 1.22 | 2.16 | 0.001 |
| COPD | 1.43 | 1.03 | 1.97 | 0.032 |
| Sleep-apnea syndrome | 1.50 | 0.30 | 0.81 | 0.005 |
| Hemiplegia | 2.80 | 1.69 | 4.65 | <0.001 |
| Cancer | 1.78 | 1.18 | 2.68 | 0.006 |
| Trauma/falls in the previous year | 1.87 | 1.20 | 2.92 | 0.006 |
| Malnutrion | 1.76 | 1.16 | 2.67 | 0.008 |
| HF ADMISSIONS | ||||
| IRR | ||||
| Hospitalized during inclusion | 1.85 | 1.30 | 2.65 | 0.001 |
| NYHA class III-IV | 1.49 | 1.08 | 2.05 | 0.015 |
| Previous follow-up in a heart failure unit | 1.68 | 1.25 | 2.27 | 0.001 |
| HF admissions in the previous year | 2.33 | 1.74 | 3.13 | <0.001 |
| Previous coronary artery disease | 1.60 | 1.20 | 2.14 | 0.001 |
| Previous atrial fibrillation | 1.82 | 1.37 | 2.41 | <0.001 |
| Advanced CKD | 1.44 | 1.09 | 1.92 | 0.011 |
| COPD | 1.50 | 1.08 | 2.08 | 0.016 |
| Trauma/falls in the previous year | 1.82 | 1.02 | 3.23 | 0.041 |
| Anemia | 1.36 | 1.02 | 1.81 | 0.035 |
| HF DECOMPENSATIONS | ||||
| IRR | ||||
| Hospitalized during inclusion | 1.79 | 1.31 | 2.44 | <0.001 |
| NYHA class III-IV | 1.41 | 1.07 | 1.86 | 0.016 |
| Previous follow-up in a heart failure unit | 1.85 | 1.44 | 2.39 | <0.001 |
| HF admissions in the previous year | 2.14 | 1.66 | 2.76 | <0.001 |
| Previous coronary artery disease | 1.58 | 1.23 | 2.02 | <0.001 |
| Previous atrial fibrillation | 1.62 | 1.27 | 2.07 | <0.001 |
| Advanced CKD | 1.58 | 1.23 | 2.01 | <0.001 |
| COPD | 1.64 | 1.24 | 2.17 | 0.001 |
| Trauma/falls in the previous year | 1.70 | 1.02 | 2.84 | 0.043 |
| Anemia | 1.43 | 1.12 | 1.84 | 0.005 |
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. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).