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Pastore MC, Campora A, Mandoli GE, Lisi M, Benfari G, Ilardi F, Malagoli A, Sperlongano S, Henein MY, Cameli M, D'Andrea A. Stress echocardiography in heart failure patients: additive value and caveats. Heart Fail Rev 2024:10.1007/s10741-024-10423-9. [PMID: 39060836 DOI: 10.1007/s10741-024-10423-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/14/2024] [Indexed: 07/28/2024]
Abstract
Heart failure (HF) is a clinical syndrome characterized by well-defined signs and symptoms due to structural and/or myocardial functional impairment, resulting in raised intracardiac pressures and/or inadequate cardiac stroke volume at rest or during exercise. This could derive from direct ischemic myocardial injury or other chronic pathological conditions, including valvular heart disease (VHD) and primary myocardial disease. Early identification of HF etiology is essential for accurate diagnosis and initiation of early and appropriate treatment. Thus, the presence of accurate means for early diagnosis of HF symptoms or subclinical phases is fundamental, among which echocardiography being the first line diagnostic investigation. Echocardiography could be performed at rest, to identify overt structural and functional abnormalities or during physical or pharmacological stress, in order to elicit subclinical myocardial function impairment e.g. wall motion abnormalities and raised ventricular filling pressures. Beyond diagnosis of ischemic heart disease, stress echocardiography (SE) has recently shown its unique value for the evaluation of diastolic heart failure, VHD, non-ischemic cardiomyopathies and pulmonary hypertension, with recommendations from international societies in several clinical settings. All these features make SE an important additional tool, not only for diagnostic assessment, but also for prognostic stratification and therapeutic management of patients with HF. In this review, the unique value of SE in the evaluation of HF patients will be described, with the objective to provide an overview of the validated methods for each setting, particularly for HF management.
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Affiliation(s)
- Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Bracci1 , Siena, Italy.
| | - Alessandro Campora
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Bracci1 , Siena, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Bracci1 , Siena, Italy
| | - Matteo Lisi
- Department of Cardiovascular Disease - AUSL Romagna, Division of Cardiology, Ospedale S. Maria Delle Croci, Viale Randi 5, 48121, Ravenna, 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
| | - Alessandro Malagoli
- Division of Cardiology, Nephro-Cardiovascular Department, Baggiovara Hospital, Modena, 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 Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Bracci1 , Siena, Italy
| | - Antonello D'Andrea
- Department of Cardiology, Umberto I Hospital, 84014, Nocera Inferiore, SA, Italy
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Combining Stress Speckle Tracking with High-Sensitivity C-Reactive Protein in Diagnosis of Coronary Artery Disease. J Cardiovasc Dev Dis 2022; 9:jcdd9050123. [PMID: 35621834 PMCID: PMC9147209 DOI: 10.3390/jcdd9050123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/03/2022] [Accepted: 04/11/2022] [Indexed: 01/27/2023] Open
Abstract
Introduction: CAD (coronary artery disease) is a leading cause of death and disability in developed nations. Exercise testing is recommended as a first-line diagnostic test for patients with stable angina pectoris. In addition to myocardial strain, high-sensitivity CRP (hs-CRP) can predict the presence of significant coronary artery disease. Aim of work: The purpose of this study was to demonstrate the utility of 2D-speckle tracking at rest and under stress along with hs-CRP for detection of CAD in patients who were referred to the chest pain unit with stable or low risk unstable angina pectoris. Methods: A total of 108 individuals met the inclusion criteria and gave their written consent to participate in this study. Coronary angiography was performed within 48 h after admission to the chest pain unit. Myocardial strain was recorded at rest and during dobutamine administration. Results: Global longitudinal strain at stress appeared to be moderately correlated with the presence of significant coronary artery disease (CAD); r = 0.41, p < 0.0001. A moderate correlation was also found between global longitudinal strain at stress and the severity of coronary occlusion; r = 0.62, p < 0.0001. With a cut-off value of −19.1, global longitudinal strain under stress had a sensitivity of 74.1% and a specificity of 76.7% for detecting significant CAD. Hs-CRP was significantly higher in patients with manifested CAD. Conclusion: Evaluation of longitudinal strain parameters at rest and under stress may predict coronary artery disease in patients with stable angina pectoris. A measurable Hs-CRP is a potential marker of coronary stenosis. Strain data could assist in diagnosing CAD severity.
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Chen X, Huang F, Liu Y, Liu S, Tan G. Exosomal miR-152-5p and miR-3681-5p function as potential biomarkers for ST-segment elevation myocardial infarction. Clinics (Sao Paulo) 2022; 77:100038. [PMID: 35751950 PMCID: PMC9243048 DOI: 10.1016/j.clinsp.2022.100038] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/21/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The strain parameters of Real-Time Three-Dimensional Spot Tracking Echocardiography (RT3D-STE) are GLS, GAS, GRS, and GCS, while each index can significantly diagnose Acute Myocardial Infarction (AMI) patients, but none of them can distinguish between NSTEMI and STEMI. MicroRNAs (miRNAs) play essential roles in Acute Myocardial Infarction (AMI), but little is known about the value of exosome miRNA combined with Real-Time Three-Dimensional Spot Tracking Echocardiography (RT3D-STE) between ST-segment Elevation Myocardial Infarction (STEMI) and Non-ST-segment Elevation Myocardial Infarction (NSTEMI). AIM To estimate the exosomal miRNAs related to strain parameters of RT3D-STE as biomarkers for early detection of STEMI and NSTEMI. METHODS The present study collected plasma samples from thirty-four (34) patients with AMI (including STEMI and NSTEMI) and employed high-throughput sequence technology and real-time quantitative polymerase chain reaction (RT-qPCR) to identify the differentially expressed miRNAs. The Pearson correlation coefficient is used to measure the strength of a linear association between differentially expressed miRNAs and strain parameters of RT3D-STE. RESULTS Twenty-eight (28) differentially expressed exosomal miRNAs were universally identified between STEMI, NSTEM, and normal groups. Among them, there are 10 miRNAs (miR-152-5p, miR-3681-5p, miR-193a-5p, miR-193b-5p miR-345-5p, miR-125a-5p, miR-365a-3p, miR-4520-2-3p, hsa-miR-193b-3p and hsa-miR-5579-5p) with a Pearson correlation greater than 0.6 with RT3D-STE strain parameters. Especially, miR-152-5p and miR-3681-5p showed the most significant correlation with RT3D-STE strain parameters. Target genes of these 10 miRNAs are analyzed for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment, and they were found to be mainly involved in the cellular metabolism processes and HIF-1 signaling pathway. RT-qPCR verified the significant differential expression of miR-152-5p and miR-3681-5p between STEMI and NSTEM groups. CONCLUSION RT3D-STE and exosome miRNAs can be used as a hierarchical diagnostic system in AMI. If the RT3D-STE is abnormal, the exosome miRNAs can be detected again to obtain more detailed and accurate diagnostic results between STEMI and NSTEM groups. Exosomal miR-152-5p and miR-3681-5p may serve as potential biomarkers for ST-segment elevation myocardial infarction.
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Affiliation(s)
- Xiaozhu Chen
- Department of Ultrasound, People's Hospital of Longhua Shenzhen, Guangdong, China.
| | - Fengrong Huang
- Department of Cardiology, People's Hospital of Longhua Shenzhen, Guangdong, China
| | - Yunhong Liu
- Clinical Laboratory, People's Hospital of Longhua Shenzhen, Guangdong, China
| | - Shujun Liu
- Department of Ultrasound, People's Hospital of Longhua Shenzhen, Guangdong, China
| | - Gangwen Tan
- Department of Cardiology, People's Hospital of Longhua Shenzhen, Guangdong, China
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Raftopoulos L, Aggeli C, Dimitroglou Y, Kakiouzi V, Tsartsalis D, Patsourakos D, Tsioufis C. The fundamental role of stress echo in evaluating coronary artery disease in specific patient populations. Curr Vasc Pharmacol 2021; 20:156-167. [PMID: 34931964 DOI: 10.2174/1570161120666211220104156] [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: 07/13/2021] [Revised: 11/06/2021] [Accepted: 11/19/2021] [Indexed: 11/22/2022]
Abstract
Stress echocardiography (SE) was initially used for assessing patients with known or suspected coronary heart disease by detecting and evaluating myocardial ischemia and viability. The implementation of SE has gradually been extended to several cardiovascular diseases beyond coronary artery disease, and SE protocols have been modified and adapted for the detection of coronary artery disease (CAD) or other cardiovascular diseases in specific patient populations. This review attempts to summarize current data concerning SE implementation and clinical value in these specific and diverse populations: patients with an intramural course of a coronary artery - known as a myocardial bridge, chronic severe or end-stage hepatic disease, chronic severe or end-stage kidney disease, cardiac allograft vasculopathy, patients scheduled for solid-organ transplantation and other intermediate and high-risk surgery and, finally, patients treated with anticancer drugs or radiotherapy.
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Affiliation(s)
- Leonidas Raftopoulos
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
| | - Constantina Aggeli
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
| | - Yannis Dimitroglou
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
| | - Vasiliki Kakiouzi
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
| | - Dimitrios Tsartsalis
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
| | - Dimitrios Patsourakos
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
| | - Costas Tsioufis
- First Department of Cardiology, University of Athens Medical School, General Hospital of Athens Hippokration, Athens, Greece
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Pastore MC, Mandoli GE, Contorni F, Cavigli L, Focardi M, D'Ascenzi F, Patti G, Mondillo S, Cameli M. Speckle Tracking Echocardiography: Early Predictor of Diagnosis and Prognosis in Coronary Artery Disease. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6685378. [PMID: 33623788 PMCID: PMC7875622 DOI: 10.1155/2021/6685378] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/12/2020] [Accepted: 01/23/2021] [Indexed: 01/24/2023]
Abstract
Echocardiography represents a first level technique for the evaluation of coronary artery disease (CAD) which supports clinicians in the diagnostic and prognostic workup of these syndromes. However, visual estimation of wall motion abnormalities sometimes fails in detecting less clear or transient myocardial ischemia and in providing accurate differential diagnosis. Speckle tracking echocardiography (STE) is a widely available noninvasive tool that could easily and quickly provide additive information over basic echocardiography, since it is able to identify subtle myocardial damage and to localize ischemic territories in accordance to the coronary lesions, obtaining a clear visualization with a "polar map" useful for differential diagnosis and management. Therefore, it has increasingly been applied in acute and chronic coronary syndromes using rest and stress echocardiography, showing good results in terms of prediction of CAD, clinical outcome, left ventricular remodeling, presence, and quantification of new/residual ischemia. The aim of this review is to illustrate the current available evidence on STE usefulness for the assessment and follow-up of CAD, discussing the main findings on bidimensional and tridimensional strain parameters and their potential application in clinical practice.
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Affiliation(s)
- Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
- University of Eastern Piedmont, Maggiore della Carità Hospital, Novara, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
| | - Francesco Contorni
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
| | - Luna Cavigli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
| | - Marta Focardi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
| | - Flavio D'Ascenzi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
| | - Giuseppe Patti
- University of Eastern Piedmont, Maggiore della Carità Hospital, Novara, Italy
| | - Sergio Mondillo
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Italy
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