A Comprehensive Profile of Heart Failure Patients Across Ejection Fraction Subtypes: Insights from a Single-Center Retrospective Cohort Study
Abstract
1. Introduction
2. Materials and Methods
3. Results
3.1. Clinical and Demographic Characteristics
3.2. Distribution of Comorbidities in Study Groups
3.3. Laboratory Parameters Among Patients in Different HF Groups
3.4. Electrocardiographic Data in Different HF Droups
3.5. Echocardiographic Parameters Among Patients in Different HF Groups
3.6. Patient Outcomes in Different HF Groups
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
HF | Heart failure |
LVEF | Left ventricular ejection fraction |
HFrEF | Heart failure with reduced ejection fraction |
HFmrEF | Heart failure with mildly reduced ejection fraction |
HFpEF | Heart failure with preserved ejection fraction |
NYHA | New York Heart Association |
AH | Arterial hypertension |
COPD | Chronic obstructive pulmonary disease |
HGB | Hemoglobin |
CRP | C-reactive protein |
AST | Aspartate aminotransferase |
ALT | Alanine aminotransferase |
ALP | Alkaline phosphatase |
GGT | Gamma-glutamyl transferase |
NT–ProBNP | n-terminal pro-B-type natriuretic peptide |
WBC | White blood cell count |
PLT | Platelet |
TP | Total protein |
ECG | Electrocardiogram |
AF | Atrial fibrillation |
LVEDD | Left ventricular end-diastolic diameter |
LVMI | Left ventricular mass index |
LA | Left atrium |
RV | Right ventricle |
RA | Right atrium |
TAPSE | Tricuspid annular plane systolic excursion |
BBB | Bundle branch block |
References
- Shams, P.; Malik, A.; Chhabra, L. Congestive Heart Failure. StatPearls. 2025. Available online: https://www.ncbi.nlm.nih.gov/books/NBK430873/ (accessed on 25 May 2025).
- Savarese, G.; Becher, P.M.; Lund, L.H.; Seferovic, P.; Rosano, G.M.C.; Coats, A.J.S. Global burden of heart failure: A comprehensive and updated review of epidemiology. Cardiovasc. Res. 2023, 118, 3272–3287. [Google Scholar] [CrossRef] [PubMed]
- Conrad, N.; Judge, A.; Tran, J.; Mohseni, H.; Hedgecott, D.; Crespillo, A.P.; Allison, M.; Hemingway, H.; Cleland, J.G.; McMurray, J.J.V.; et al. Temporal trends and patterns in heart failure incidence: A population-based study of 4 million individuals. Lancet 2018, 391, 572–580. [Google Scholar] [CrossRef] [PubMed]
- Heidenreich, P.A.; Bozkurt, B.; Aguilar, D.; Allen, L.A.; Byun, J.J.; Colvin, M.M.; Deswal, A.; Drazner, M.H.; Dunlay, S.M.; Evers, L.R.; et al. 2022 AHA/ACC/HFSA guideline for the management of heart failure: A report of the American College of Cardiology/American Heart Association joint committee on clinical practice guidelines. Circulation 2022, 145, 18. [Google Scholar] [CrossRef] [PubMed]
- McDonagh, T.A.; Metra, M.; Adamo, M.; Gardner, R.S.; Baumbach, A.; Böhm, M.; Burri, H.; Butler, J.; Čelutkienė, J.; Chioncel, O.; et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur. Heart J. 2021, 42, 3599–3726. [Google Scholar] [CrossRef]
- Butler, J.; Petrie, M.C.; Bains, M.; Bawtinheimer, T.; Code, J.; Levitch, T.; Monteleone, P.; Stevens, P.; Vafeiadou, J.; Lam, C.S.P. Challenges and opportunities for increasing patient involvement in heart failure self-care programs and self-care in the post–hospital discharge period. Res. Involv. Engagem. 2023, 9, 23. [Google Scholar] [CrossRef]
- Stevenson, L.W.; Ross, H.J.; Rathman, L.D.; Boehmer, J.P. Remote Monitoring for Heart Failure Management at Home: JACC Scientific Statement. JACC 2023, 81, 2272–2291. [Google Scholar] [CrossRef]
- Wang, N.; Hales, S.; Barin, E.; Tofler, G. Characteristics and outcome for heart failure patients with mid-range ejection fraction. J. Cardiovasc. Med. 2018, 19, 297–303. [Google Scholar] [CrossRef]
- Shiga, T.; Suzuki, A.; Haruta, S.; Mori, F.; Ota, Y.; Yagi, M.; Oka, T.; Tanaka, H.; Murasaki, S.; Yamauchi, T.; et al. Clinical characteristics of hospitalized heart failure patients with preserved, mid-range, and reduced ejection fractions in Japan. ESC Heart Fail. 2019, 6, 475–486. [Google Scholar] [CrossRef]
- Cediel, G.; Codina, P.; Spitaleri, G.; Domingo, M.; Santiago-Vacas, E.; Lupon, J.; Bayes-Genis, A. Gender-Related Differences in Heart Failure Biomarkers. Front. Cardiovasc. Med. 2021, 7, 617705. [Google Scholar] [CrossRef]
- Lam, C.S.P.; Arnott, C.; Beale, A.L.; Chandramouli, C.; Hilfiker-Kleiner, D.; Kaye, D.M.; Ky, B.; Santema, B.T.; Sliwa, K.; Voors, A.A. Sex differences in heart failure. Eur. Heart J. 2019, 40, 3859–3868c. [Google Scholar] [CrossRef]
- Li, P.; Zhao, H.; Zhang, J.; Ning, Y.; Tu, Y.; Xu, D. Similarities and Differences Between HFmrEF and HFpEF. Front. Cardiovasc. Med. 2021, 8, 678614. [Google Scholar] [CrossRef] [PubMed]
- Xu, H.X.; Zhu, Y.M.; Hua, Y.; Huang, Y.H.; Lu, Q. Association between atrial fibrillation and heart failure with different ejection fraction categories and its influence on outcomes. Acta Cardiologica. 2019, 75, 423–432. [Google Scholar] [CrossRef] [PubMed]
- Scholten, M.; Davidge, J.; Agvall, B.; Halling, A. Comorbidities in heart failure patients that predict cardiovascular readmissions within 100 days-An observational study. PLoS ONE 2024, 19, e0296527. [Google Scholar] [CrossRef] [PubMed]
- Miller, W.L.; Grill, D.E.; Mullan, B.P. Comparison of Blood Volume Profiles in Heart Failure with Preserved and Reduced Ejection Fractions: Sex Makes a Difference. Circ. Heart Fail. 2024, 17, e010906. [Google Scholar] [CrossRef]
- Zhang, J.; Xu, M.; Chen, T.; Zhou, Y. Correlation Between Liver Stiffness and Diastolic Function, Left Ventricular Hypertrophy, and Right Cardiac Function in Patients with Ejection Fraction Preserved Heart Failure. Front. Cardiovasc. Med. 2021, 8, 748173. [Google Scholar] [CrossRef]
- Savarese, G.; Orsini, N.; Hage, C.; Vedin, O.; Cosentino, F.; Rosano, G.M.C.; Dahlström, U.; Lund, L.H. Utilizing NT-proBNP for Eligibility and Enrichment in Trials in HFpEF, HFmrEF, and HFrEF. JACC Heart Fail. 2018, 6, 246–256. [Google Scholar] [CrossRef]
- Tsutsui, H.; Albert, N.M.; Coats, A.J.S.; Anker, S.D.; Bayes-Genis, A.; Butler, J.; Chioncel, O.; Defilippi, C.R.; Drazner, M.H.; Felker, G.M.; et al. Natriuretic peptides: Role in the diagnosis and management of heart failure: A scientific statement from the Heart Failure Association of the European Society of Cardiology, Heart Failure Society of America and Japanese Heart Failure Society. Eur. J. Heart Fail. 2023, 25, 616–631. [Google Scholar] [CrossRef]
- Zafrir, B.; Lund, L.H.; Laroche, C.; Ruschitzka, F.; Crespo-Leiro, M.G.; Coats, A.J.S.; Anker, S.D.; Filippatos, G.; Seferovic, P.M.; Maggioni, A.P.; et al. Prognostic implications of atrial fibrillation in heart failure with reduced, mid-range, and preserved ejection fraction: A report from 14 964 patients in the European Society of Cardiology Heart Failure Long-Term Registry. Eur. Heart J. 2018, 39, 4277–4284. [Google Scholar] [CrossRef]
- Rosch, S.; Kresoja, K.P.; Besler, C.; Fengler, K.; Schöber, A.R.; von Roeder, M.; Lücke, C.; Gutberlet, M.; Klingel, K.; Thiele, H.; et al. Characteristics of heart failure with preserved ejection fraction across the range of left ventricular ejection fraction. Circulation 2022, 146, 506–518. [Google Scholar] [CrossRef]
- Nikolaidou, T.; Samuel, N.A.; Marincowitz, C.; Fox, D.J.; Cleland, J.G.F.; Clark, A.L. Electrocardiographic characteristics in patients with heart failure and normal ejection fraction: A systematic review and meta-analysis. Ann. Noninvasive Electrocardiol. 2020, 25, 12710. [Google Scholar] [CrossRef]
- Harada, T.; Kagami, K.; Kato, T.; Obokata, M. Echocardiography in the diagnostic evaluation and phenotyping of heart failure with preserved ejection fraction. J. Cardiol. 2022, 79, 679–690. [Google Scholar] [CrossRef]
- Palazzuoli, A.; Pirrotta, F.; Stefanini, A.; Barilli, M. Different right ventricular maladaptation in heart failure patients with reduced or preserved ejection fraction: Diagnostic and prognostic implication. Eur. Heart J. 2022, 43, ehac544.927. [Google Scholar] [CrossRef]
- Bosch, L.; Lam, C.S.P.; Gong, L.; Chan, S.P.; Sim, D.; Yeo, D.; Jaufeerally, F.; Leong, K.T.G.; Ong, H.Y.; Ng, T.P.; et al. Right ventricular dysfunction in left-sided heart failure with preserved versus reduced ejection fraction. Eur. J. Heart Fail. 2017, 19, 1664–1671. [Google Scholar] [CrossRef]
- Pandey, A.; Vaduganathan, M.; Arora, S.; Qamar, A.; Mentz, R.J.; Shah, S.J.; Chang, P.P.; Russell, S.D.; Rosamond, W.D.; Caughey, M.C. Temporal Trends in Prevalence and Prognostic Implications of Comorbidities Among Patients with Acute Decompensated Heart Failure: The ARIC Study Community Surveillance. Circulation 2020, 142, 230–243. [Google Scholar] [CrossRef]
- Lam, C.S.P.; Gamble, G.D.; Ling, L.H.; Sim, D.; Leong, K.T.G.; Yeo, P.S.D.; Ong, H.Y.; Jaufeerally, F.; Ng, T.P.; Cameron, V.A.; et al. Mortality associated with heart failure with preserved vs. reduced ejection fraction in a prospective international multi-ethnic cohort study. Eur. Heart J. 2018, 39, 1770–1780. [Google Scholar] [CrossRef]
- Olchanski, N.; Vest, A.R.; Cohen, J.T.; Neumann, P.J.; DeNofrio, D. Cost comparison across heart failure patients with reduced and preserved ejection fractions: Analyses of inpatient decompensated heart failure admissions. Int. J. Cardiol. 2018, 261, 103–108. [Google Scholar] [CrossRef] [PubMed]
Characteristics | Total in the Study Sample | HFpEF | HFmrEF | HFrEF | p Value |
---|---|---|---|---|---|
Male, n (%) | 496 (43.00%) | 102 (21.00%) | 84 (17.00%) | 310 (62.00%) | HFpEF vs. HFmrEF p = 0.177 HFrEF vs. HFmrEF p < 0.001 HFpEF vs. HFrEF p < 0.001 |
Female, n (%) | 648 (57.00%) | 260 (40.00%) | 179 (28.00%) | 209 (32.00%) | |
Age (years) | |||||
Age, median (min-max) | 81 (29–102) | 84 (43–102) | 84 (49–100) | 77 (29–100) | HFrEF vs. HFpEF p < 0.001 HFrEF vs. HFmrEF p < 0.001 HFpEF vs. HFmrEF p = 0.525 |
NYHA Classes | |||||
I, n (%) | 1 (0.10%) | 1 (0.28%) | 0 (0.00%) | 0 (0.00%) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p = 0.269 |
II, n (%) | 28 (2.40%) | 18 (4.97%) | 4 (1.52%) | 6 (1.16%) | |
III, n (%) | 985 (86.10%) | 318 (87.85%) | 231 (87.83%) | 436 (84.00%) | |
IV, n (%) | 89 (7.80%) | 8 (2.20%) | 21 (87.83%) | 60 (11.56%) |
Comorbidities | Total in the Study Sample | HFEF Groups | p Value | ||
---|---|---|---|---|---|
HFpEF | HFmrEF | HFrEF | |||
Diabetes mellitus, n (%) | 301 (26.00%) | 87 (24.00%) | 79 (30.00%) | 135 (26.00%) | p = 0.237 |
Arterial hypertension, n (%) | 1101 (96.00%) | 356 (98.34%) | 259 (98.48%) | 486 (93.64%) | HFpEF vs. HFmrEF p = 0.893 HFrEF vs. HFmrEF p = 0.003 HFpEF vs. HFrEF p < 0.001 |
Chronic kidney disease, n (%) | 438 (38.00%) | 120 (33.15%) | 117 (44.49%) | 201 (38.73%) | p = 0.015 |
Ischemic etiology, n (%) | 355 (31.00%) | 60 (16.57%) | 82 (31.18%) | 213 (41.00%) | HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p = 0.007 HFpEF vs. HFrEF p < 0.001 |
Dilated cardiomyopathy, n (%) | 30 (2.60%) | 1 (0.28%) | 2 (0.76%) | 27 (5.20%) | HFpEF vs. HFmrEF p < 0.387 HFrEF vs. HFmrEF p = 0.002 HFpEF vs. HFrEF p < 0.001 |
Atrial fibrillation, n (%) | 762 (66.60%) | 225 (62.15%) | 196 (74.52%) | 341 (65.70%) | HFpEF vs. HFmrEF p = 0.001 HFrEF vs. HFmrEF p = 0.012 HFpEF vs. HFrEF p = 0.280 |
Pulmonary disease (asthma, previous embolism, COPD), n (%) | 166 (14.50%) | 48 (13.26%) | 37 (14.00%) | 81 (15.60%) | p = 0.594 |
Presence of infection during hospitalization, n (%) | 375 (33.00%) | 114 (31.49%) | 88 (33.46%) | 173 (33.33%) | p = 0.819 |
Laboratory Results | HFEF Groups | p-Values | ||
---|---|---|---|---|
HFpEF | HFmrEF | HFrEF | ||
HGB (g/L) | 119.70 ± 20.06 | 120.19 ± 22.34 | 127.54 ± 23.16 | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p = 0.960 HFrEF vs. HFmrEF p < 0.001 |
CRP (mg/L), median (min–max) | 7.64 (0.60–261.56) | 7.93 (0.60–220.08) | 9.50 (0.60–234.00) | HFpEF vs. HFrEF p = 0.009 HFpEF vs. HFmrEF p = 0.302 HFrEF vs. HFmrEF p = 0.208 |
WBC (×109/L), median (min–max) | 7.83 (2.85–23.17) | 7.54 (2.21–31.22) | 7.60 (2.81–23.48) | HFpEF vs. HFrEF p = 0.970 HFpEF vs. HFmrEF p = 0.730 HFrEF vs. HFmrEF p = 0.781 |
PLT (×109/L), median (min–max) | 216.00 (60.00–854.00) | 208.00 (99.00–682.00) | 209.00 (69.00–802.00) | HFpEF vs. HFrEF p = 0.199 HFpEF vs. HFmrEF p = 0.303 HFrEF vs. HFmrEF p = 0.920 |
Sodium (mmol/L), median (min–max) | 139.60 (112.30–158.20) | 139.60 (117.20–160.00) | 139.10 (109.80–151.20) | HFpEF vs. HFrEF p = 0.246 HFpEF vs. HFmrEF p = 0.283 HFrEF vs. HFmrEF p = 0.028 |
Potassium (mmol/L), median (min–max) | 4.41 (1.61–7.53) | 4.46 (2.60–6.06) | 4.40 (2.47–7.43) | HFpEF vs. HFrEF p = 0.967 HFpEF vs. HFmrEF p = 0.399 HFrEF vs. HFmrEF p = 0.347 |
Creatinine (µmol/L), median (min–max) | 93.44 (23.87–388.25) | 96.78 (44.11–289.70) | 105.48 (26.53–427.20) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p = 0.352 HFrEF vs. HFmrEF p = 0.029 |
Glucose (mmol/L), median (min–max) | 6.67 (2.73–25.87) | 6.52 (2.83–20.55) | 6.68 (3.13–28.40) | HFpEF vs. HFrEF p = 0.139 HFpEF vs. HFmrEF p = 0.098 HFrEF vs. HFmrEF p = 0.681 |
AST (U/L), median (min–max) | 22.05 (9.50–221.20) | 22.50 (9.40–106.30) | 25.90 (7.40–3216.70) | HFpEF vs. HFrEF p = 0.004 HFpEF vs. HFmrEF p = 0.921 HFrEF vs. HFmrEF p = 0.008 |
ALT (U/L), median (min–max) | 17.25 (3.50–248.00) | 16.60 (3.00–109.90) | 20.90 (4.50–2386.00) | HFpEF vs. HFrEF p = 0.015 HFpEF vs. HFmrEF p = 0.987 HFrEF vs. HFmrEF p = 0.017 |
ALP (U/L), median (min–max) | 85.32 (32.05–224.01) | 94.58 (14.80 –584.38) | 98.07 (35.58–1402.00) | HFpEF vs. HFrEF p = 0.007 HFpEF vs. HFmrEF p = 0.261 HFrEF vs. HFmrEF p = 0.146 |
GGT (U/L), median (min–max) | 37.92 (5.69–416.30) | 51.77 (7.13–345.86) | 77.94 (9.00–1125.59) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p = 0.028 HFrEF vs. HFmrEF p = 0.024 |
Urea (mmol/L), median (min–max) | 9.30 (4.30–172.20) | 11.93 (2.45–36.39) | 10.69 (3.21–110.80) | HFpEF vs. HFrEF p = 0.143 HFpEF vs. HFmrEF p = 0.020 HFrEF vs. HFmrEF p = 0.230 |
Uric acid (µmol/L), median (min–max) | 412.22 (172.80–916.40) | 444.00 (235.62–922.77) | 481.85 (219.07–921.97) | HFpEF vs. HFrEF p = 0.011 HFpEF vs. HFmrEF p = 0.436 HFrEF vs. HFmrEF p = 0.118 |
TP (g/L) | 61.31 ± 7.32 | 60.80 ± 7.58 | 60.06 ± 6.75 | HFpEF vs. HFrEF p = 0.259 HFpEF vs. HFmrEF p = 0.837 HFrEF vs. HFmrEF p = 0.641 |
Albumin (g/L), median (min–max) | 37.67 (16.14–49.88) | 36.38 (17.17–51.20) | 37.01 (17.61–59.58) | HFpEF vs. HFrEF p = 0.157 HFpEF vs. HFmrEF p = 0.068 HFrEF vs. HFmrEF p = 0.587 |
NT–ProBNP (pg/mL), median (min–max) | 2411.00 (73.39–35,000.00) | 3943.00 (155.00–35,000.00) | 6487.00 (41.72–35,000.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p < 0.001 |
ECG Parameters | Total in the Study Sample | HFEF Groups | p Value | ||
---|---|---|---|---|---|
HFpEF | HFmrEF | HFrEF | |||
Bundle branch block, n (%) | 293 (26.00%) | 71 (19.61%) | 49 (18.63%) | 173 (33.30%) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p = 0.758 HFrEF vs. HFmrEF p < 0.001 |
Chronic AF, n (%) | 565 (56.50%) | 159 (43.92%) | 153 (58.17%) | 253 (48.75%) | HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p = 0.013 HFpEF vs. HFrEF p = 0.158 |
Persistent AF, n (%) | 167 (14.60%) | 55 (15.19%) | 37 (14.00%) | 75 (14.45%) | p = 0.918 |
Paroxysmal AF, n (%) | 22 (1.92%) | 10 (2.76%) | 5 (1.90%) | 7 (1.35%) | p = 0.323 |
Ventricular extrasystoles, n (%) | 208 (18.00%) | 51 (14.09%) | 38 (14.45%) | 119 (22.93%) | HFpEF vs. HFmrEF p = 0.899 HFrEF vs. HFmrEF p = 0.005 HFpEF vs. HFrEF p = 0.001 |
Conduction disorders, n (%) | 44 (3.80%) | 20 (5.52%) | 5 (1.90%) | 19 (3.66%) | p = 0.064 |
Echocardiographic Parameters | HFEF Groups | p-Values | ||
---|---|---|---|---|
HFpEF | HFmrEF | HFrEF | ||
LVEDD (mm) median (min–max) | 46.50 (26.00–68.00) | 48.00 (32.00–71.00) | 55.00 (30.00–92.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p = 0.271 HFrEF vs. HFmrEF p < 0.001 |
LVMI (g/m2), median (min–max) | 102.13 (37.55–175.30) | 108.88 (56.91–228.89) | 131.42 (60.03–267.15) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p = 0.002 HFrEF vs. HFmrEF p < 0.001 |
LA size (mm), median (min–max) | 46.00 (27.00–98.00) | 48.00 (29.00–80.00) | 50.00 (28.00–81.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p < 0.001 |
LA volume (mL/m2), median (min–max) | 85.50 (29.00–656.00) | 96.00 (28.00–315.00) | 110.00 (12.00–468.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p < 0.001 |
RV size (mm), median (min–max) | 37.00 (22.00–67.00) | 40.00 (27.00–62.00) | 42.00 (23.00–75.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p < 0.001 |
RA size (mm), median (min–max) | 41.60 (24.00–73.00) | 44.00 (31.00–68.00) | 48.30 (26.00–77.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p < 0.001 |
TAPSE (mm), median (min–max) | 20.00 (11.00–38.00) | 17.00 (6.30–38.00) | 15.50 (6.00–33.00) | HFpEF vs. HFrEF p < 0.001 HFpEF vs. HFmrEF p < 0.001 HFrEF vs. HFmrEF p = 0.054 |
Outcomes | Total in the Study Sample | HFEF Groups | p Value | ||
---|---|---|---|---|---|
HFpEF | HFmrEF | HFrEF | |||
Discharged home, n (%) | 938 (82.00%) | 302 (83.43%) | 217 (82.50%) | 419 (80.73%) | p = 0.548 |
In-hospital death, n (%) | 61 (5.00%) | 13 (3.59%) | 17 (6.46%) | 31 (5.97%) | p = 0.195 |
Transferred to a tertiary-care cardiology hospital, n (%) | 86 (7.50%) | 30 (8.29%) | 13 (4.94%) | 43 (8.29%) | p = 0.197 |
Transferred to palliative care hospital, n (%) | 56 (4.60%) | 15 (4.14%) | 14 (5.32%) | 24 (4.62%) | p = 0.789 |
HFEF Groups | p-Values | |||
---|---|---|---|---|
HFpEF | HFmrEF | HFrEF | ||
Duration of in-hospital stay (days), mean ± SD | 9.32 ± 4.88 | 10.02 ± 4.48 | 9.79 ± 5.03 | HFpEF vs. HFrEF p = 0.289 HFpEF vs. HFmrEF p = 0.047 HFrEF vs. HFmrEF p = 0.843 |
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. Published by MDPI on behalf of the Lithuanian University of Health Sciences. 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 (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kaunaitė, A.; Markevičiūtė, A.; Barauskas, V.; Jankauskienė, E.; Zabiela, V.; Žaliaduonytė, D. A Comprehensive Profile of Heart Failure Patients Across Ejection Fraction Subtypes: Insights from a Single-Center Retrospective Cohort Study. Medicina 2025, 61, 1533. https://doi.org/10.3390/medicina61091533
Kaunaitė A, Markevičiūtė A, Barauskas V, Jankauskienė E, Zabiela V, Žaliaduonytė D. A Comprehensive Profile of Heart Failure Patients Across Ejection Fraction Subtypes: Insights from a Single-Center Retrospective Cohort Study. Medicina. 2025; 61(9):1533. https://doi.org/10.3390/medicina61091533
Chicago/Turabian StyleKaunaitė, Austėja, Austė Markevičiūtė, Vitas Barauskas, Edita Jankauskienė, Vytautas Zabiela, and Diana Žaliaduonytė. 2025. "A Comprehensive Profile of Heart Failure Patients Across Ejection Fraction Subtypes: Insights from a Single-Center Retrospective Cohort Study" Medicina 61, no. 9: 1533. https://doi.org/10.3390/medicina61091533
APA StyleKaunaitė, A., Markevičiūtė, A., Barauskas, V., Jankauskienė, E., Zabiela, V., & Žaliaduonytė, D. (2025). A Comprehensive Profile of Heart Failure Patients Across Ejection Fraction Subtypes: Insights from a Single-Center Retrospective Cohort Study. Medicina, 61(9), 1533. https://doi.org/10.3390/medicina61091533