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Lisi M, Luisi GA, Pastore MC, Mandoli GE, Benfari G, Ilardi F, Malagoli A, Sperlongano S, Henein MY, Cameli M, D'Andrea A. New perspectives in the echocardiographic hemodynamics multiparametric assessment of patients with heart failure. Heart Fail Rev 2024:10.1007/s10741-024-10398-7. [PMID: 38507022 DOI: 10.1007/s10741-024-10398-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/10/2024] [Indexed: 03/22/2024]
Abstract
International Guidelines consider left ventricular ejection fraction (LVEF) as an important parameter to categorize patients with heart failure (HF) and to define recommended treatments in clinical practice. However, LVEF has some technical and clinical limitations, being derived from geometric assumptions and is unable to evaluate intrinsic myocardial function and LV filling pressure (LVFP). Moreover, it has been shown to fail to predict clinical outcome in patients with end-stage HF. The analysis of LV antegrade flow derived from pulsed-wave Doppler (stroke volume index, stroke distance, cardiac output, and cardiac index) and non-invasive evaluation of LVFP have demonstrated some advantages and prognostic implications in HF patients. Speckle tracking echocardiography (STE) is able to unmask intrinsic myocardial systolic dysfunction in HF patients, particularly in those with LV preserved EF, hence allowing analysis of LV, right ventricular and left atrial (LA) intrinsic myocardial function (global peak atrial LS, (PALS)). Global PALS has been proven a reliable index of LVFP which could fill the gaps "gray zone" in the previous Guidelines algorithm for the assessment of LV diastolic dysfunction and LVFP, being added to the latest European Association of Cardiovascular Imaging Consensus document for the use of multimodality imaging in evaluating HFpEF. The aim of this review is to highlight the importance of the hemodynamics multiparametric approach of assessing myocardial function (from LVFP to stroke volume) in patients with HF, thus overcoming the limitations of LVEF.
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Affiliation(s)
- Matteo Lisi
- Department of Cardiovascular Disease-AUSL Romagna, Division of Cardiology, Ospedale S. Maria delle Croci, Viale Randi 5, 48121, Ravenna, Italy.
| | - Giovanni Andrea Luisi
- Department of Cardiovascular Disease-AUSL Romagna, Division of Cardiology, Ospedale S. Maria delle Croci, Viale Randi 5, 48121, Ravenna, Italy
| | - Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Giovanni Benfari
- Section of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Federica Ilardi
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University Hospital, Via S. Pansini 5, 80131, Naples, Italy
- Mediterranea Cardiocentro, 80122, Naples, Italy
| | - Alessandro Malagoli
- Division of Cardiology, Nephro-Cardiovascular Department, Baggiovara Hospital, Baggiovara, Italy
| | - Simona Sperlongano
- Division of Cardiology, Department of Translational Medical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Michael Y Henein
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Matteo Cameli
- Department of Cardiovascular Disease-AUSL Romagna, Division of Cardiology, Ospedale S. Maria delle Croci, Viale Randi 5, 48121, Ravenna, Italy
| | - Antonello D'Andrea
- Department of Cardiology, Umberto I Hospital, 84014, Nocera Inferiore, SA, Italy
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Dini FL, Carluccio E, Ghio S, Pugliese NR, Galeotti G, Correale M, Beltrami M, Tocchetti CG, Mercurio V, Paolillo S, Palazzuoli A. Patient phenotype profiling using echocardiography and natriuretic peptides to personalise heart failure therapy. Heart Fail Rev 2024; 29:367-378. [PMID: 37728750 DOI: 10.1007/s10741-023-10340-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/07/2023] [Indexed: 09/21/2023]
Abstract
Heart failure (HF) is a progressive condition with a clinical picture resulting from reduced cardiac output (CO) and/or elevated left ventricular (LV) filling pressures (LVFP). The original Diamond-Forrester classification, based on haemodynamic data reflecting CO and pulmonary congestion, was introduced to grade severity, manage, and risk stratify advanced HF patients, providing evidence that survival progressively worsened for those classified as warm/dry, cold/dry, warm/wet, and cold/wet. Invasive haemodynamic evaluation in critically ill patients has been replaced by non-invasive haemodynamic phenotype profiling using echocardiography. Decreased CO is not infrequent among ambulatory HF patients with reduced ejection fraction, ranging from 23 to 45%. The Diamond-Forrester classification may be used in combination with the evaluation of natriuretic peptides (NPs) in ambulatory HF patients to pursue the goal of early identification of those at high risk of adverse events and personalise therapy to antagonise neurohormonal systems, reduce congestion, and preserve tissue/renal perfusion. The most benefit of the Guideline-directed medical treatment is to be expected in stable patients with the warm/dry profile, who more often respond with LV reverse remodelling, while more selective individualised treatments guided by echocardiography and NPs are necessary for patients with persisting congestion and/or tissue/renal hypoperfusion (cold/dry, warm/wet, and cold/wet phenotypes) to achieve stabilization and to avoid further neurohormonal activation, as a result of inappropriate use of vasodilating or negative chronotropic drugs, thus pursuing the therapeutic objectives. Therefore, tracking the haemodynamic status over time by clinical, imaging, and laboratory indicators helps implement therapy by individualising drug regimens and interventions according to patients' phenotypes even in an ambulatory setting.
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Affiliation(s)
- Frank L Dini
- Istituto Auxologico IRCCS, Centro Medico Sant'Agostino, Via Temperanza, 6, 20127, Milan, Italy.
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
| | - Erberto Carluccio
- Cardiology and Cardiovascular Pathophysiology, Santa Maria della Misericordia, University of Perugia, Perugia, Italy
| | - Stefano Ghio
- Cardiology Division, Fondazione IRCCS, Policlinico San Matteo, Pavia, Italy
| | | | | | - Michele Correale
- Department of Cardiology, University Hospital Policlinico, Riuniti, Foggia, Italy
| | - Matteo Beltrami
- Cardiology Unit, San Giovanni di Dio Hospital, Azienda USL Toscana Centro, Florence, Italy
| | - Carlo Gabriele Tocchetti
- Department of Translational Medical Sciences (DISMET), Center for Basic and Clinical Immunology Research (CISI), Interdepartmental Center of Clinical and Translational Sciences (CIRCET), Interdepartmental Hypertension Research Center (CIRIAPA), Federico II University, Naples, Italy
| | - Valentina Mercurio
- Department of Translational Medical Sciences (DISMET), Interdepartmental Center of Clinical and Translational Sciences (CIRCET), Interdepartmental Hypertension Research Center (CIRIAPA), Federico II University, Naples, Italy
| | - Stefania Paolillo
- Department of Advanced Biomedical Sciences, Section of Cardiology, Federico II University, Naples, Italy
| | - Alberto Palazzuoli
- Cardiovascular Diseases Unit, Cardio-thoracic and vascular Department, S. Maria alle Scotte Hospital, University of Siena, Siena, Italy
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Dini FL, Pestelli G, Pugliese NR, D'Agostino A, Pedrinelli R, Mele D. Combining echo-derived haemodynamic phenotypes and myocardial strain for risk stratification of chronic heart failure with reduced ejection fraction. Eur Heart J Cardiovasc Imaging 2023; 24:483-491. [PMID: 35788645 DOI: 10.1093/ehjci/jeac127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 06/04/2022] [Accepted: 06/17/2022] [Indexed: 11/14/2022] Open
Abstract
AIMS Echocardiography has shown to categorize heart failure (HF) patients according to haemodynamic profiles. Whether left ventricular (LV) global longitudinal strain (LV-GLS) could integrate echo-derived haemodynamic profiles to risk stratify chronic HF patients is still unknown. METHODS AND RESULTS Chronic HF outpatients with LV ejection fraction (LV-EF) <50% (n = 351) and LV-GLS assessment were evaluated and divided according to four haemodynamic phenotypes based on LV stroke volume index (SVI), LV filling pressure (LVFP), and right ventricular (RV) function: normal output-normal LVFP (NO-NP), normal output-high LVFP (NO-HP), low output-no RV dysfunction (LO-NRVD), and low output-RV dysfunction (LO-RVD). RV function was defined using the tricuspid annular plane systolic excursion and RV free-wall longitudinal strain. The median follow-up duration was 3.3 years. The combination of all-cause mortality and HF hospitalization was the primary endpoint. Secondary endpoints were all-cause mortality and cardiovascular mortality. The prevalence of NO-NP, NO-HP, LO-NRVD, and LO-RVD were 38%, 22%, 30%, and 10%, respectively. The haemodynamic model independently predicted primary and secondary outcomes, with incremental prognostic information over LV-EF (all P-values <0.001 for C-statistics). When univariate Cox regression analysis was performed to assess the prognostic stratification capability of LV-GLS in different haemodynamic subgroups, we observed a reduction in LV-GLS hazard ratios from the NO-NP to the LO-RVD for every endpoint. CONCLUSION There was a continuum in LV-GLS impairment across the spectrum of haemodynamic phenotypes and its prognostic value resulted variable depending on the types of chronic HF patients. The highest prognostic information added by LV-GLS was in patients with normal SVI.
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Affiliation(s)
- Frank Lloyd Dini
- Cardiovascular Unit 1, Cardiac, Thoracic and Vascular Department, University of Pisa, Via Paradisa 2, 56124 Pisa, Italy
| | - Gabriele Pestelli
- Cardiology Unit, Morgagni-Pierantoni Hospital, 47121 Forlì, Italy
- Cardiovascular Research Unit, Fondazione Sacco, 47121 Forlì, Italy
| | | | - Andreina D'Agostino
- Cardiovascular Unit 1, Cardiac, Thoracic and Vascular Department, University of Pisa, Via Paradisa 2, 56124 Pisa, Italy
| | - Roberto Pedrinelli
- Cardiovascular Unit 1, Cardiac, Thoracic and Vascular Department, University of Pisa, Via Paradisa 2, 56124 Pisa, Italy
| | - Donato Mele
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy
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Peteiro J, Bouzas-Mosquera A, Barbeito-Caamaño C, Martin-Alvarez E, Souto-Cainzos B, Vazquez-Rodriguez JM. Additive prognostic and diagnostic value of diastolic exercise parameters in patients referred for exercise echocardiography. Eur Heart J Cardiovasc Imaging 2022; 24:108-118. [PMID: 35175338 DOI: 10.1093/ehjci/jeac039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/08/2022] [Indexed: 12/24/2022] Open
Abstract
AIMS Exercise echocardiography (ExE) may evaluate left ventricular (LV) systolic and diastolic function. We aimed to assess the value of diastolic parameters at exercise [early LV inflow velocity to early tissue Doppler annulus velocity (E/e')] in patients with normal or abnormal resting diastolic function (DF) referred for a clinically indicated ExE. METHODS AND RESULTS LV systolic and DF according to ASE/EACVI guidelines and mitral regurgitation (MR) were evaluated at rest in 772 patients (age 67 ± 12 years) with preserved LV ejection fraction (LVEF ≥ 50%). We assessed regional/global LV systolic function at peak exercise, while MR and E/e' where evaluated in the immediate post-exercise period. Abnormal ExE was defined as ischaemia or fixed wall motion abnormalities, and raised E/e' values as >15 at rest and at exercise (e' at the septal level). Patients were grouped as complaining or not of dyspnoea. Events were overall mortality, myocardial infarction, admission for unstable angina or cardiac failure, and coronary revascularization. DF was abnormal at rest in 221 patients (29%) and indeterminate in 77 (10%), with similar percentages in patients with and without dyspnoea. Exercise E/e' >15 was found in 37% of patients with abnormal DF, 21% with indeterminate DF, and 6% with normal DF (P < 0.001). Patients with abnormal ExE had more often abnormal resting DF (39% vs. 25%, P = 0.001) and exercise E/e' >15 (25% vs. 13%, P < 0.001) than those with normal ExE. During a median follow-up of 1.68 years, there were 132 events. Independent predictors included peak exercise LVEF [hazard ratio (HR) = 0.93, 95% confidence interval (CI) = 0.91-0.94, P < 0.001], and exercise E/e' (HR= 1.04, 95% CI = 1.01-1.07, P = 0.01). Neither resting E/e' values nor resting abnormal DF by ASE/EACVI guidelines, were independent predictors. Annualized event-rates were 43.2% in patients with (+) ExE plus (+) exercise E/e', 23.8% in those with (+) ExE and (-) exercise E/e', 7.9% in (-) ExE and (+) exercise E/e', and 3.6% with both variables normal. CONCLUSIONS The results of diastolic dysfunction at rest and at exercise were similar between patients with or without dyspnoea referred for ExE, but they were associated with abnormal ExE. Exercise E/e' reclassified 21% of patients with indeterminate DF and further predicted outcome on top of ExE results.
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Affiliation(s)
- Jesús Peteiro
- Department of Cardiology, Complejo Hospitalario Universitario de A Coruña (CHUAC), CIBERCV, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña, As Xubias, 84, 15006 A Coruña, Spain
| | - Alberto Bouzas-Mosquera
- Department of Cardiology, Complejo Hospitalario Universitario de A Coruña (CHUAC), CIBERCV, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña, As Xubias, 84, 15006 A Coruña, Spain
| | - Cayetana Barbeito-Caamaño
- Department of Cardiology, Complejo Hospitalario Universitario de A Coruña (CHUAC), CIBERCV, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña, As Xubias, 84, 15006 A Coruña, Spain
| | - Esteban Martin-Alvarez
- Department of Cardiology, Complejo Hospitalario Universitario de A Coruña (CHUAC), CIBERCV, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña, As Xubias, 84, 15006 A Coruña, Spain
| | - Borja Souto-Cainzos
- Department of Cardiology, Complejo Hospitalario Universitario de A Coruña (CHUAC), CIBERCV, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña, As Xubias, 84, 15006 A Coruña, Spain
| | - Jose M Vazquez-Rodriguez
- Department of Cardiology, Complejo Hospitalario Universitario de A Coruña (CHUAC), CIBERCV, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña, As Xubias, 84, 15006 A Coruña, Spain
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