|
1
|
Moreyra C, Moreyra E, Rozich JD. Heart Failure With Preserved Ejection Fraction: Will Cardiac Magnetic Imaging Impact on Diagnosis, Treatment, and Outcomes?: Explaining the Need for Advanced Imaging to Clinical Stakeholders. Cardiol Rev 2024; 32:371-377. [PMID: 36576375 DOI: 10.1097/crd.0000000000000494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Clinicians frequently equate symptoms of volume overload to heart failure (HF) but such generalization may preclude diagnostic or etiologic precision essential to optimizing outcomes. HF itself must be specified as the disparate types of cardiac pathology have been traditionally surmised by examination of left ventricular (LV) ejection fraction (EF) as either HF with preserved LVEF (HFpEF-LVEF >50%) or reduced LVEF of (HFrEF-LVEF <40%). More recent data support a third, potentially transitional HF subtype, but therapy, assessment, and prognosis have been historically dictated within the corresponding LV metrics determined by echocardiography. The present effort asks whether this historically dominant role of echocardiography is now shifting slightly, becoming instead a shared if not complimentary test. Will there be a gradual increasing profile for cardiac magnetic resonance as the attempt to further refine our understanding, diagnostic accuracy, and outcomes for HFpEF is attempted?
Collapse
Affiliation(s)
- Camila Moreyra
- From the Cardiology Department, Sanatorium Allende, Córdoba, Argentina
| | - Eduardo Moreyra
- From the Cardiology Department, Sanatorium Allende, Córdoba, Argentina
| | | |
Collapse
|
|
2
|
D’Amato A, Severino P, Prosperi S, Mariani MV, Germanò R, De Prisco A, Myftari V, Cestiè C, Labbro Francia A, Marek-Iannucci S, Tabacco L, Vari L, Marano SL, Di Pietro G, Lavalle C, Sardella G, Mancone M, Badagliacca R, Fedele F, Vizza CD. The Role of High-Sensitivity Troponin T Regarding Prognosis and Cardiovascular Outcome across Heart Failure Spectrum. J Clin Med 2024; 13:3533. [PMID: 38930061 PMCID: PMC11204386 DOI: 10.3390/jcm13123533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024] Open
Abstract
Background: Cardiac troponin release is related to the cardiomyocyte loss occurring in heart failure (HF). The prognostic role of high-sensitivity cardiac troponin T (hs-cTnT) in several settings of HF is under investigation. The aim of the study is to assess the prognostic role of intrahospital hs-cTnT in patients admitted due to HF. Methods: In this observational, single center, prospective study, patients hospitalized due to HF have been enrolled. Admission, in-hospital peak, and discharge hs-cTnT have been assessed. Patients were followed up for 6 months. Cardiovascular (CV) death, HF hospitalization (HFH), and worsening HF (WHF) (i.e., urgent ambulatory visit/loop diuretics escalation) events have been assessed at 6-month follow up. Results: 253 consecutive patients have been enrolled in the study. The hs-cTnT median values at admission and discharge were 0.031 ng/mL (IQR 0.02-0.078) and 0.031 ng/mL (IQR 0.02-0.077), respectively. The risk of CV death/HFH was higher in patients with admission hs-cTnT values above the median (p = 0.02) and in patients who had an increase in hs-cTnT during hospitalization (p = 0.03). Multivariate Cox regression analysis confirmed that hs-cTnT above the median (OR: 2.06; 95% CI: 1.02-4.1; p = 0.04) and increase in hs-cTnT during hospitalization (OR:1.95; 95%CI: 1.006-3.769; p = 0.04) were predictors of CV death/HFH. In a subgroup analysis of patients with chronic HF, hs-cTnT above the median was associated with increased risk of CV death/HFH (p = 0.03), while in the subgroup of patients with HFmrEF/HFpEF, hs-cTnT above the median was associated with outpatient WHF events (p = 0.03). Conclusions: Inpatient hs-cTnT levels predict CV death/HFH in patients with HF. In particular, in the subgroup of chronic HF patients, hs-cTnT is predictive of CV death/HFH; while in patients with HFmrEF/HFpEF, hs-cTnT predicts WHF events.
Collapse
Affiliation(s)
- Andrea D’Amato
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
- Department of Cardiology, Ospedale Fabrizio Spaziani, 03100 Frosinone, Italy
| | - Paolo Severino
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Silvia Prosperi
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Marco Valerio Mariani
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Rosanna Germanò
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Andrea De Prisco
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Vincenzo Myftari
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Claudia Cestiè
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Aurora Labbro Francia
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Stefanie Marek-Iannucci
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Leonardo Tabacco
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Leonardo Vari
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Silvia Luisa Marano
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Gianluca Di Pietro
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Carlo Lavalle
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Gennaro Sardella
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Massimo Mancone
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | - Roberto Badagliacca
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| | | | - Carmine Dario Vizza
- Department of Clinical, Internal, Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (P.S.); (S.P.); (R.G.); (A.D.P.); (V.M.); (C.C.); (A.L.F.); (S.M.-I.); (L.T.); (L.V.); (S.L.M.); (G.D.P.); (C.L.); (G.S.); (M.M.); (R.B.); (C.D.V.)
| |
Collapse
|
|
3
|
Delcuratolo E, Palazzuoli A, Coppi F, Mattioli AV, Severino P, Tramonte F, Fedele F. Risk Factors and Cellular Differences in Heart Failure: The Key Role of Sex Hormones. Biomedicines 2023; 11:3052. [PMID: 38002052 PMCID: PMC10669789 DOI: 10.3390/biomedicines11113052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/08/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
Patients with heart failure are conventionally stratified into phenotypic groups based on their ejection fraction. The aim of this stratification is to improve disease management with a more targeted therapeutic approach. A further subdivision based on patient gender is justified. It is recognized that women are underrepresented in randomized controlled clinical trials, resulting in limited clinical and molecular differentiation between males and females. However, many observational studies show that the onset, development, and clinical course of the disease may substantially differ between the two sexes. According to the emerging concept of precision medicine, investigators should further explore the mechanisms responsible for the onset of heart failure due to sex differences. Indeed, the synergistic or opposing effects of sex hormones on the cardiovascular system and underlying heart failure mechanisms have not yet been clarified. Sex hormones, risk factors impact, and cardiovascular adaptations may be relevant for a better understanding of the intrinsic pathophysiological mechanisms in the two sexes. Despite the differences, treatment for HF is similar across the whole population, regardless of sex and gender. In our review, we describe the main differences in terms of cardiovascular dysfunction, risk factors, and cellular signaling modifications related to the hormonal pattern.
Collapse
Affiliation(s)
- Elvira Delcuratolo
- Specialization School of Cardiology, University of Siena, Viale Mario Bracci 16, 53100 Siena, Italy;
| | - Alberto Palazzuoli
- Cardiovascular Diseases Unit, Le Scotte Hospital, University of Siena, Viale Mario Bracci 16, 53100 Siena, Italy;
| | - Francesca Coppi
- National Institute for Cardiovascular Research, Via Irnerio 48, 40126 Bologna, Italy; (F.C.); (A.V.M.); (F.F.)
| | - Anna Vittoria Mattioli
- National Institute for Cardiovascular Research, Via Irnerio 48, 40126 Bologna, Italy; (F.C.); (A.V.M.); (F.F.)
| | - Paolo Severino
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161 Rome, Italy;
| | - Francesco Tramonte
- Cardiovascular Diseases Unit, Le Scotte Hospital, University of Siena, Viale Mario Bracci 16, 53100 Siena, Italy;
| | - Francesco Fedele
- National Institute for Cardiovascular Research, Via Irnerio 48, 40126 Bologna, Italy; (F.C.); (A.V.M.); (F.F.)
| |
Collapse
|
|
4
|
Rossi VA, Gruebler M, Monzo L, Galluzzo A, Beltrami M. The Different Pathways of Epicardial Adipose Tissue across the Heart Failure Phenotypes: From Pathophysiology to Therapeutic Target. Int J Mol Sci 2023; 24:6838. [PMID: 37047810 PMCID: PMC10095298 DOI: 10.3390/ijms24076838] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 03/28/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023] Open
Abstract
Epicardial adipose tissue (EAT) is an endocrine and paracrine organ constituted by a layer of adipose tissue directly located between the myocardium and visceral pericardium. Under physiological conditions, EAT exerts protective effects of brown-like fat characteristics, metabolizing excess fatty acids, and secreting anti-inflammatory and anti-fibrotic cytokines. In certain pathological conditions, EAT acquires a proatherogenic transcriptional profile resulting in increased synthesis of biologically active adipocytokines with proinflammatory properties, promoting oxidative stress, and finally causing endothelial damage. The role of EAT in heart failure (HF) has been mainly limited to HF with preserved ejection fraction (HFpEF) and related to the HFpEF obese phenotype. In HFpEF, EAT seems to acquire a proinflammatory profile and higher EAT values have been related to worse outcomes. Less data are available about the role of EAT in HF with reduced ejection fraction (HFrEF). Conversely, in HFrEF, EAT seems to play a nutritive role and lower values may correspond to the expression of a catabolic, adverse phenotype. As of now, there is evidence that the beneficial systemic cardiovascular effects of sodium-glucose cotransporter-2 receptors-inhibitors (SGLT2-i) might be partially mediated by inducing favorable modifications on EAT. As such, EAT may represent a promising target organ for the development of new drugs to improve cardiovascular prognosis. Thus, an approach based on detailed phenotyping of cardiac structural alterations and distinctive biomolecular pathways may change the current scenario, leading towards a precision medicine model with specific therapeutic targets considering different individual profiles. The aim of this review is to summarize the current knowledge about the biomolecular pathway of EAT in HF across the whole spectrum of ejection fraction, and to describe the potential of EAT as a therapeutic target in HF.
Collapse
Affiliation(s)
- Valentina A. Rossi
- University Heart Center, Department of Cardiology, University Hospital of Zurich, 8091 Zurich, Switzerland
| | - Martin Gruebler
- Regional Hospital Neustadt, 2700 Wiener Neustadt, Austria
- Faculty of Medicine, Medical University of Graz, 8036 Graz, Austria
- Faculty of Medicine, Sigmund Freud University Vienna, 1020 Vienna, Austria
| | - Luca Monzo
- Centre d’Investigations Cliniques Plurithématique 1433 and Inserm U1116, Université de Lorraine, CHRU Nancy, FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), 54035 Nancy, France
| | | | - Matteo Beltrami
- Azienda USL Toscana Centro, Cardiology Unit, San Giovanni di Dio Hospital, 50143 Florence, Italy;
| |
Collapse
|
|
5
|
Does the Measurement of Ejection Fraction Still Make Sense in the HFpEF Framework? What Recent Trials Suggest. J Clin Med 2023; 12:jcm12020693. [PMID: 36675622 PMCID: PMC9867046 DOI: 10.3390/jcm12020693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 01/17/2023] Open
Abstract
Left ventricular ejection fraction (LVEF) is universally accepted as a cardiac systolic function index and it provides intuitive interpretation of cardiac performance. Over the last two decades, it has erroneously become the leading feature used by clinicians to characterize the left ventricular function in heart failure (HF). Notably, LVEF sets the basis for structural and functional HF phenotype classification in current guidelines. However, its diagnostic and prognostic role in patients with preserved or mildly reduced contractile function is less clear. This is related to several concerns due to intrinsic technical, methodological and hemodynamic limitations entailed in LVEF measurement that do not describe the chamber's real contractile performance as expressed by pressure volume loop relationship. In patients with HF and preserved ejection fraction (HFpEF), it does not reflect the effective systolic function because it is prone to preload and afterload variability and it does not account for both longitudinal and torsional contraction. Moreover, a repetitive measurement could be assessed over time to better identify HF progression related to natural evolution of disease and to the treatment response. Current gaps may partially explain the causes of negative or neutral effects of traditional medical agents observed in HFpEF. Nevertheless, recent pooled analysis has evidenced the positive effects of new therapies across the LVEF range, suggesting a potential role irrespective of functional status. Additionally, a more detailed analysis of randomized trials suggests that patients with higher LVEF show a risk reduction strictly related to overall cardiovascular (CV) events; on the other hand, patients experiencing lower LVEF values have a decrease in HF-related events. The current paper reports the main limitations and shortcomings in LVEF assessment, with specific focus on patients affected by HFpEF, and it suggests alternative measurements better reflecting the real hemodynamic status. Future investigations may elucidate whether the development of non-invasive stroke volume and longitudinal function measurements could be extensively applied in clinical trials for better phenotyping and screening of HFpEF patients.
Collapse
|
|
6
|
Palazzuoli A, Tramonte F, Beltrami M. Laboratory and Metabolomic Fingerprint in Heart Failure with Preserved Ejection Fraction: From Clinical Classification to Biomarker Signature. Biomolecules 2023; 13:biom13010173. [PMID: 36671558 PMCID: PMC9855377 DOI: 10.3390/biom13010173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/29/2022] [Accepted: 01/10/2023] [Indexed: 01/17/2023] Open
Abstract
Heart failure with preserved ejection fraction (HFpEF) remains a poorly characterized syndrome with many unknown aspects related to different patient profiles, various associated risk factors and a wide range of aetiologies. It comprises several pathophysiological pathways, such as endothelial dysfunction, myocardial fibrosis, extracellular matrix deposition and intense inflammatory system activation. Until now, HFpEF has only been described with regard to clinical features and its most commonly associated risk factors, disregarding all biological mechanisms responsible for cardiovascular deteriorations. Recently, innovations in laboratory and metabolomic findings have shown that HFpEF appears to be strictly related to specific cells and molecular mechanisms' dysregulation. Indeed, some biomarkers are efficient in early identification of these processes, adding new insights into diagnosis and risk stratification. Moreover, recent advances in intermediate metabolites provide relevant information on intrinsic cellular and energetic substrate alterations. Therefore, a systematic combination of clinical imaging and laboratory findings may lead to a 'precision medicine' approach providing prognostic and therapeutic advantages. The current review reports traditional and emerging biomarkers in HFpEF and it purposes a new diagnostic approach based on integrative information achieved from risk factor burden, hemodynamic dysfunction and biomarkers' signature partnership.
Collapse
Affiliation(s)
- Alberto Palazzuoli
- Cardiovascular Diseases Unit, Cardio Thoracic and Vascular Department, Le Scotte Hospital, University of Siena, 53100 Siena, Italy
- Correspondence: ; Tel.: +39-577585363 or +39-577585461; Fax: +39-577233480
| | - Francesco Tramonte
- Cardiovascular Diseases Unit, Cardio Thoracic and Vascular Department, Le Scotte Hospital, University of Siena, 53100 Siena, Italy
| | | |
Collapse
|
|
7
|
Ospina González OE, Llanos Mejía DC, Kaplinsky E, Barbagelata A, Perrone S. Emerging concepts in heart failure management and treatment: focus on current guideline-directed medical therapy for heart failure with reduced ejection fraction. Drugs Context 2023; 12:dic-2022-6-4. [PMID: 36660017 PMCID: PMC9828867 DOI: 10.7573/dic.2022-6-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 09/20/2022] [Indexed: 01/04/2023] Open
Abstract
One of the most relevant and differentiating aspects provided by the 2021 European Society of Cardiology guidelines for the diagnosis and treatment of acute and chronic heart failure is the retraction of the historical stepped and vertical pharmacological treatment scheme for heart failure with reduced ejection fraction (HFrEF). Subsequently, it was replaced by an updated algorithm that places four therapeutic families in the same initial horizontal step with an equally high degree of recommendation (class I). In this context, these four pillars, which have demonstrated a significant reduction in mortality and hospitalizations in patients with HFrEF, include (1) angiotensin-converting enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB)/angiotensin II receptor-neprilysin inhibitors (ARNi), (2) beta blockers, (3) mineralocorticoid receptor antagonists (MRA) and (4) sodium-glucose cotransporter 2 inhibitors (SGLT2is) as the main novelty. This manuscript reviews the current therapeutic algorithm with a special focus on the therapeutic value of adding an MRA (still underused in both clinical trials and real world), changing an ACEi/ARB for an ARNi and incorporating an SGLT2i in patients with HFrEF. This article is part of the Emerging concepts in heart failure management and treatment Special Issue: https://www.drugsincontext.com/special_issues/emerging-concepts-in-heart-failure-management-and-treatment.
Collapse
Affiliation(s)
- Oscar Eduardo Ospina González
- Catholic University Argentina, Buenos Aires, Argentina,Cardiology Service, Hospital Presidente Perón, Buenos Aires, Argentina
| | - Diana Catalina Llanos Mejía
- Catholic University Argentina, Buenos Aires, Argentina,Cardiology Service, Hospital Presidente Perón, Buenos Aires, Argentina
| | | | - Alejandro Barbagelata
- Catholic University Argentina, Buenos Aires, Argentina,Duke University School of Medicine, Durham, NC, USA
| | - Sergio Perrone
- Catholic University Argentina, Buenos Aires, Argentina,Fleni Institute, Buenos Aires, Argentina
| |
Collapse
|
|
8
|
Ou SM, Chao CJ, Tsai MT, Lee KH, Tseng WC, Bin PJ, Lin YP, Hsu CY, Tarng DC. Echocardiographic features of left ventricular dysfunction and outcomes in chronic kidney disease. Heart 2023; 109:134-142. [PMID: 36371660 PMCID: PMC9811083 DOI: 10.1136/heartjnl-2022-321404] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/11/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE Heart failure (HF) imposes a substantial burden and the prevalence of HF is high in patients with chronic kidney disease (CKD). HF results in multiple hospital admissions, but whether HF subtypes worsen long-term outcomes and renal function in patients with CKD remains inconclusive. METHODS The study comprised 10 904 patients with CKD aged ≥20 years who underwent echocardiography between 1 January 2011 and 31 December 2018. The patients were stratified into four groups: non-HF, HF with reduced ejection fraction (HFrEF), HF with mildly reduced ejection fraction (HFmrEF) and HF with preserved ejection fraction (HFpEF). The primary end points were all-cause mortality, major adverse cardiovascular events (MACEs) and adverse renal outcomes. RESULTS In inverse probability of treatment weighting-adjusted method, the risk of all-cause mortality and MACEs relative to the non-HF group was greatest in the HFrEF group (HR 3.18 (95% CI 2.57 to 3.93) and HR 3.83 (95% CI 3.20 to 4.59)), followed by the HFmrEF (HR 2.75 (95% CI 2.22 to 3.42) and HR 3.08 (95% CI 2.57 to 3.69)) and HFpEF (HR 1.85 (95% CI 1.59 to 2.15) and HR 2.43 (95% CI 2.16 to 2.73) groups. In addition, the HFrEF group had the greatest risks of end-stage renal disease (HR 2.58 (95% CI 1.94 to 3.44)) compared with other groups. CONCLUSIONS HF is associated with subsequent worse clinical outcomes, which may be more pronounced in patients with HFrEF, followed by those with HFmrEF and those with HFpEF relative to non-HF group.
Collapse
Affiliation(s)
- Shuo-Ming Ou
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chieh-Ju Chao
- Department of Cardiovascular Diseases, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Ming-Tsun Tsai
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Kuo-Hua Lee
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Wei-Cheng Tseng
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Pin-Jie Bin
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yao-Ping Lin
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chien-Yi Hsu
- Division of Cardiology and Cardiovascular Research Center, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan,Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
| | - Der-Cherng Tarng
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan,Department and Institute of Physiology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| |
Collapse
|
|
9
|
Naik MG, Budde K, Koehler K, Vettorazzi E, Pigorsch M, Arkossy O, Stuard S, Duettmann W, Koehler F, Winkler S. Remote Patient Management May Reduce All-Cause Mortality in Patients With Heart-Failure and Renal Impairment. Front Med (Lausanne) 2022; 9:917466. [PMID: 35899216 PMCID: PMC9309436 DOI: 10.3389/fmed.2022.917466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/14/2022] [Indexed: 01/17/2023] Open
Abstract
BackgroundRemote patient management (RPM) in heart failure (HF) patients has been investigated in several prospective randomized trials. The Telemedical Interventional Management in Heart Failure II (TIM-HF2)-trial showed reduced all-cause mortality and hospitalizations in heart failure (HF) patients using remote patient management (RPM) vs. usual care (UC). We report the trial's results for prespecified eGFR-subgroups.MethodsTIM-HF2 was a prospective, randomized, controlled, parallel-group, unmasked (with randomization concealment), multicenter trial. A total of 1,538 patients with stable HF were enrolled in Germany from 2013 to 2017 and randomized to RPM (+UC) or UC. Using CKD-EPI-formula at baseline, prespecified subgroups were defined. In RPM, patients transmitted their vital parameters daily. The telemedical center reviewed and co-operated with the patient's General Practitioner (GP) and cardiologist. In UC, patients were treated by their GPs or cardiologist applying the current guidelines for HF management and treatment. The primary endpoint was the percentage of days lost due to unplanned cardiovascular hospitalizations or death, secondary outcomes included hospitalizations, all-cause, and cardiovascular mortality.ResultsOur sub analysis showed no difference between RPM and UC in both eGFR-subgroups for the primary endpoint (<60 ml/min/1.73 m2: 40.9% vs. 43.6%, p = 0.1, ≥60 ml/min/1.73 m2 26.5 vs. 29.3%, p = 0.36). In patients with eGFR < 60 ml/min/1.73 m2, 1-year-survival was higher in RPM than UC (89.4 vs. 84.6%, p = 0.02) with an incident rate ratio (IRR) 0.67 (p = 0.03). In the recurrent event analysis, HF hospitalizations and all-cause death were lower in RPM than UC in both eGFR-subgroups (<60 ml/min/1.73 m2: IRR 0.70, p = 0.02; ≥60 ml/min/1.73 m2: IRR 0.64, p = 0.04). In a cox regression analysis, age, NT-pro BNP, eGFR, and BMI were associated with all-cause mortality.ConclusionRPM may reduce all-cause mortality and HF hospitalizations in patients with HF and eGFR < 60 ml/min/1.73 m2. HF hospitalizations and all-cause death were lower in RPM in both eGFR-subgroups in the recurrent event analysis. Further studies are needed to investigate and confirm this finding.
Collapse
Affiliation(s)
- Marcel G. Naik
- Charité—Universitätsmedizin Berlin, Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany
- Berlin Institute of Health, Charité Medical University of Berlin, Berlin, Germany
- *Correspondence: Marcel G. Naik
| | - Klemens Budde
- Charité—Universitätsmedizin Berlin, Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany
| | - Kerstin Koehler
- Charité—Universitätsmedizin Berlin, Medical Department, Division of Cardiology and Angiology, Centre for Cardiovascular Telemedicine, Berlin, Germany
| | - Eik Vettorazzi
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Hamburg, Germany
| | - Mareen Pigorsch
- Charité—Universitätsmedizin Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
| | - Otto Arkossy
- Global Medical Office, Clinical and Therapeutical Governance Europe Middle East Asia, Fresenius Medical Care, Bad Homburg, Germany
| | - Stefano Stuard
- Global Medical Office, Clinical and Therapeutical Governance Europe Middle East Asia, Fresenius Medical Care, Bad Homburg, Germany
| | - Wiebke Duettmann
- Charité—Universitätsmedizin Berlin, Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany
- Berlin Institute of Health, Charité Medical University of Berlin, Berlin, Germany
| | - Friedrich Koehler
- Charité—Universitätsmedizin Berlin, Medical Department, Division of Cardiology and Angiology, Centre for Cardiovascular Telemedicine, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Gottingen, Germany
| | - Sebastian Winkler
- Charité—Universitätsmedizin Berlin, Medical Department, Division of Cardiology and Angiology, Centre for Cardiovascular Telemedicine, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Gottingen, Germany
- Unfallkrankenhaus Berlin, Department of Internal Medicine, Berlin, Germany
| |
Collapse
|
|
10
|
Alkhodari M, Jelinek HF, Karlas A, Soulaidopoulos S, Arsenos P, Doundoulakis I, Gatzoulis KA, Tsioufis K, Hadjileontiadis LJ, Khandoker AH. Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles. Front Cardiovasc Med 2021; 8:755968. [PMID: 34881307 PMCID: PMC8645593 DOI: 10.3389/fcvm.2021.755968] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/19/2021] [Indexed: 02/03/2023] Open
Abstract
Background: Left ventricular ejection fraction (LVEF) is the gold standard for evaluating heart failure (HF) in coronary artery disease (CAD) patients. It is an essential metric in categorizing HF patients as preserved (HFpEF), mid-range (HFmEF), and reduced (HFrEF) ejection fraction but differs, depending on whether the ASE/EACVI or ESC guidelines are used to classify HF. Objectives: We sought to investigate the effectiveness of using deep learning as an automated tool to predict LVEF from patient clinical profiles using regression and classification trained models. We further investigate the effect of utilizing other LVEF-based thresholds to examine the discrimination ability of deep learning between HF categories grouped with narrower ranges. Methods: Data from 303 CAD patients were obtained from American and Greek patient databases and categorized based on the American Society of Echocardiography and the European Association of Cardiovascular Imaging (ASE/EACVI) guidelines into HFpEF (EF > 55%), HFmEF (50% ≤ EF ≤ 55%), and HFrEF (EF < 50%). Clinical profiles included 13 demographical and clinical markers grouped as cardiovascular risk factors, medication, and history. The most significant and important markers were determined using linear regression fitting and Chi-squared test combined with a novel dimensionality reduction algorithm based on arc radial visualization (ArcViz). Two deep learning-based models were then developed and trained using convolutional neural networks (CNN) to estimate LVEF levels from the clinical information and for classification into one of three LVEF-based HF categories. Results: A total of seven clinical markers were found important for discriminating between the three HF categories. Using statistical analysis, diabetes, diuretics medication, and prior myocardial infarction were found statistically significant (p < 0.001). Furthermore, age, body mass index (BMI), anti-arrhythmics medication, and previous ventricular tachycardia were found important after projections on the ArcViz convex hull with an average nearest centroid (NC) accuracy of 94%. The regression model estimated LVEF levels successfully with an overall accuracy of 90%, average root mean square error (RMSE) of 4.13, and correlation coefficient of 0.85. A significant improvement was then obtained with the classification model, which predicted HF categories with an accuracy ≥93%, sensitivity ≥89%, 1-specificity <5%, and average area under the receiver operating characteristics curve (AUROC) of 0.98. Conclusions: Our study suggests the potential of implementing deep learning-based models clinically to ensure faster, yet accurate, automatic prediction of HF based on the ASE/EACVI LVEF guidelines with only clinical profiles and corresponding information as input to the models. Invasive, expensive, and time-consuming clinical testing could thus be avoided, enabling reduced stress in patients and simpler triage for further intervention.
Collapse
Affiliation(s)
- Mohanad Alkhodari
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
| | - Herbert F Jelinek
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, Biotechnology Center (BTC), Khalifa University, Abu Dhabi, United Arab Emirates
| | - Angelos Karlas
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Department for Vascular and Endovascular Surgery, Rechts der Isar University Hospital, Technical University of Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Stergios Soulaidopoulos
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Petros Arsenos
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Doundoulakis
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos A Gatzoulis
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Tsioufis
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Leontios J Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ahsan H Khandoker
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
| |
Collapse
|