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Koraćević G, Mićić S, Stojanović M, Zdravkovic M, Simić D, Kostić T, Atanasković V, Janković-Tomašević R. Beta-blockers in Hypertensive Left Ventricular Hypertrophy and Atrial Fibrillation Prevention. Curr Vasc Pharmacol 2024; 22:19-27. [PMID: 38031765 DOI: 10.2174/0115701611264647231110101700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/23/2023] [Accepted: 10/02/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Hypertensive left ventricular hypertrophy (HTN LVH) is a key risk factor for atrial fibrillation (AF). OBJECTIVE To evaluate the possible role of beta-blockers (BBs) in addition to a renin-angiotensinaldosterone system (RAAS) blocker in AF prevention in patients with HTN LVH. METHODS We performed a PubMed, Elsevier, SAGE, Oxford, and Google Scholar search with the search items 'beta blocker hypertension left ventricular hypertrophy patient' from 2013-2023. In the end, a 'snowball search', based on the references of relevant papers as well as from papers that cited them was performed. RESULTS HTN LVH is a risk factor for AF. In turn, AF substantially complicates HTN LVH and contributes to the genesis of heart failure (HF) with preserved ejection fraction (HFpEF). The prognosis of HFpEF is comparable with that of HF with reduced EF (HFrEF), and, regardless of the type, HF is associated with five-year mortality of 50-75%. The antiarrhythmic properties of BBs are wellrecognized, and BBs as a class of drugs are - in general - recommended to decrease the incidence of AF in HTN. CONCLUSION BBs are recommended (as a class) for AF prevention in several contemporary guidelines for HTN. LVH regression in HTN - used as a single criterion for the choice of antihypertensive medication - does not capture this protective effect. Consequently, it is worth studying how meaningful this antiarrhythmic action (to prevent AF) of BBs is in patients with HTN LVH in addition to a RAAS blocker.
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Affiliation(s)
- Goran Koraćević
- Department of Cardiovascular Diseases, University Clinical Center Niš, Serbia
- Faculty of Medicine, Niš University, Serbia
| | - Sladjana Mićić
- Department of Nephrology, University Clinical Center Niš, Serbia
| | | | - Marija Zdravkovic
- Department of Cardiology, University Hospital Medical Center Bežanijska kosa and Faculty of Medicine, University of Belgrade, Serbia
| | - Dragan Simić
- Department of Cardiovascular Diseases, University Clinical Center Belgrade, Serbia
| | - Tomislav Kostić
- Department of Cardiovascular Diseases, University Clinical Center Niš, Serbia
- Faculty of Medicine, Niš University, Serbia
| | - Vesna Atanasković
- Department of Cardiovascular Diseases, University Clinical Center Niš, Serbia
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Valsaraj A, Kalmady SV, Sharma V, Frost M, Sun W, Sepehrvand N, Ong M, Equibec C, Dyck JRB, Anderson T, Becher H, Weeks S, Tromp J, Hung CL, Ezekowitz JA, Kaul P. Development and validation of echocardiography-based machine-learning models to predict mortality. EBioMedicine 2023; 90:104479. [PMID: 36857967 PMCID: PMC10006431 DOI: 10.1016/j.ebiom.2023.104479] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/01/2023] [Accepted: 02/01/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality. METHODS We developed ML models (ResNet deep learning using echo videos and CatBoost gradient boosting using echo measurements) to predict 1-year, 3-year, and 5-year mortality. Models were trained on the Mackay dataset, Taiwan (6083 echos, 3626 patients) and validated in the Alberta HEART dataset, Canada (997 echos, 595 patients). We examined the performance of the models overall, and in subgroups (healthy controls, at risk of heart failure (HF), HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF)). We compared the models' performance to the MAGGIC risk score, and examined the correlation between the models' predicted probability of death and baseline quality of life as measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ). FINDINGS Mortality rates at 1-, 3- and 5-years were 14.9%, 28.6%, and 42.5% in the Mackay cohort, and 3.0%, 10.3%, and 18.7%, in the Alberta HEART cohort. The ResNet and CatBoost models achieved area under the receiver-operating curve (AUROC) between 85% and 92% in internal validation. In external validation, the AUROCs for the ResNet (82%, 82%, and 78%) were significantly better than CatBoost (78%, 73%, and 75%), for 1-, 3- and 5-year mortality prediction respectively, with better or comparable performance to the MAGGIC score. ResNet models predicted higher probability of death in the HFpEF and HFrEF (30%-50%) subgroups than in controls and at risk patients (5%-20%). The predicted probabilities of death correlated with KCCQ scores (all p < 0.05). INTERPRETATION Echo-based ML models to predict mortality had good internal and external validity, were generalizable, correlated with patients' quality of life, and are comparable to an established HF risk score. These models can be leveraged for automated risk stratification at point-of-care. FUNDING Funding for Alberta HEART was provided by an Alberta Innovates - Health Solutions Interdisciplinary Team Grant no. AHFMRITG 200801018. P.K. holds a Canadian Institutes of Health Research (CIHR) Sex and Gender Science Chair and a Heart & Stroke Foundation Chair in Cardiovascular Research. A.V. and V.S. received funding from the Mitacs Globalink Research Internship.
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Affiliation(s)
| | - Sunil Vasu Kalmady
- Canadian VIGOUR Centre, University of Alberta, Alberta, Canada; Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada; Faculty of Medicine & Dentistry, University of Alberta, Alberta, Canada
| | | | | | - Weijie Sun
- Canadian VIGOUR Centre, University of Alberta, Alberta, Canada; Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada
| | - Nariman Sepehrvand
- Canadian VIGOUR Centre, University of Alberta, Alberta, Canada; Faculty of Medicine & Dentistry, University of Alberta, Alberta, Canada
| | | | | | - Jason R B Dyck
- Faculty of Medicine & Dentistry, University of Alberta, Alberta, Canada
| | - Todd Anderson
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Harald Becher
- Faculty of Medicine & Dentistry, University of Alberta, Alberta, Canada
| | - Sarah Weeks
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Jasper Tromp
- Saw Swee Hock School of Public Health, National University of Singapore & National University Health System, Singapore; Duke-NUS Medical School, Singapore
| | | | - Justin A Ezekowitz
- Canadian VIGOUR Centre, University of Alberta, Alberta, Canada; Faculty of Medicine & Dentistry, University of Alberta, Alberta, Canada
| | - Padma Kaul
- Canadian VIGOUR Centre, University of Alberta, Alberta, Canada; Faculty of Medicine & Dentistry, University of Alberta, Alberta, Canada.
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Peak exercise myocardial deformation indices during cardiopulmonary exercise testing are associated with exercise capacity and ventilatory efficiency in patients with dilated cardiomyopathy. Hellenic J Cardiol 2022; 70:28-35. [PMID: 36586423 DOI: 10.1016/j.hjc.2022.12.009] [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: 09/18/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE Little is known about the exercise-induced changes in the multidimensional mechanical properties of the heart. We aimed to evaluate the myocardial deformation indices (MDI) at rest and their response at peak exercise during the same cardiopulmonary exercise testing (CPET) session, investigating their relationship to exercise capacity and ventilatory sufficiency in dilated cardiomyopathy (DCM) patients. METHODS We evaluated left ventricular (LV) function using speckle tracking imaging (STI) at rest and peak exercise during the same CPET session in 57 idiopathic DCM patients in New York Heart Association (NYHA) I-II class [54 ± 12 years, 42 males, ejection fraction (EF) 33 ± 9%]. We measured global longitudinal strain (GLS), longitudinal strain rate at systole (LSRS) and diastole (LSRD), and circumferential strain rate (CircS). RESULTS Resting GLS, LSRS, and LSRD were impaired compared with the predicted values but were improved at peak exercise (p < 0.001). All MDI at rest and/or at peak exercise were related to several CPET-derived parameters, including peak VO2, load, O2 pulse, and VE/VCO2 slope. Peak exercise LSRS > -1.10 sec-1 (AUC = 0.80, p < 0.001) and GLS > -13% (AUC = 0.81, p = 0.002) predicted impaired exercise capacity (peak VO2 < 20 ml/min/kg) and ventilatory inefficiency (VE/VCO2 slope>34). In multiple regression analysis, peak exercise LSRS and GLS were independently related to the peak VO2 (Beta = -0.39, p = 0.003) and VE/VCO2 slope (Beta = 0.35, p = 0.02), respectively. CONCLUSIONS Peak exercise LSRS and GLS in NYHA I-II DCM patients subjected to CPET were associated with aerobic exercise capacity and ventilatory efficiency. Consequently, LSRS and GLS at peak exercise, through their association with CPET-derived CV risk indices, may underline the severity of heart failure and predict future CV events in this DCM population.
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Zhen XW, Li WC, Wang H, Song NP, Zhong L. Does types of atrial fibrillation matter in the impairment of global and regional left ventricular mechanics and intra-ventricular dyssynchrony? Front Cardiovasc Med 2022; 9:1019472. [DOI: 10.3389/fcvm.2022.1019472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia, which is associated with cardiac dysfunction. This study aimed to compare the impairment severity of left ventricular strain and intra-ventricular dyssynchrony using echocardiography-derived velocity vector imaging in patients with different types of AF without heart failure.Methods168 non-valvular AF patients with normal left ventricular ejection fraction (98 paroxysmal AF patients and 70 persistent AF patients) and 86 healthy control subjects were included in this study. Regional and global left ventricular longitudinal and circumferential strain were measured. Time to regional peak longitudinal strain was measured and the standard deviation of all 12 segments (SDT-S) was used as a measure of intra-ventricular dyssynchrony.ResultsSignificantly lower GLS (−18.71 ± 3.00% in controls vs. −17.10 ± 3.01% in paroxysmal AF vs. −12.23 ± 3.25% in persistent AF, P < 0.05) and GCS (−28.75 ± 6.34% in controls vs. −24.43 ± 6.86% in paroxysmal AF vs. −18.46 ± 6.42% in persistent AF, P < 0.01) were observed in either persistent AF subjects or paroxysmal AF subjects compared with healthy control subjects (P < 0.05). The impairment was much worse in persistent AF subjects compared with paroxysmal AF subjects (P < 0.001). Intraventricular dyssynchrony was found in both persistent AF patients and paroxysmal AF patients, and it’s worse in persistent AF patients (52 ± 18 ms in controls, 61 ± 17 ms in paroxysmal AF, and 70 ± 28 ms in persistent AF, P < 0.05). Multivariate regression analysis revealed AF types were independent risk factors of GLS, GCS, and intraventricular dyssynchrony.ConclusionAF types were not only associated with impaired longitudinal and circumferential left ventricle mechanics but also intra-ventricular mechanical dyssynchrony. Worse systolic mechanics and intra-ventricular dyssynchrony were found in patients with persistent AF compared with these in patients with paroxysmal AF.
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Kuo JY, Chang SH, Sung KT, Chi PC, Liao JN, Chao TF, Su CH, Yeh HI, Hung CL. Left ventricular dysfunction in atrial fibrillation and heart failure risk. ESC Heart Fail 2020; 7:3694-3706. [PMID: 32929859 PMCID: PMC7754945 DOI: 10.1002/ehf2.12920] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 06/14/2020] [Accepted: 07/13/2020] [Indexed: 01/19/2023] Open
Abstract
Aims This study aimed to investigate the functional correlate, clinical relevance, and prognostic implications of novel left ventricular (LV) deformations in patients with atrial fibrillation (AF). Methods and results LV deformational indices, including peak global longitudinal strain (GLS), systolic strain rates (SRs), and early diastolic strain rates (SRe) were measured in a large‐scale AF population. We related such measures to key clinical heart failure (HF) markers, conventional echocardiographic ventricular parameters, and clinical outcomes. Among 1483 subjects with newly diagnosed AF (mean age, 71.6 ± 12.4 years; 55.5% male), worsened GLS (mean, − 12.6 ± 3.9%) and strain rates (SRs and SRe: mean, − 0.86 ± 0.27 and 1.25 ± 0.41 1/s, respectively) by our three‐beat measures were independently correlated with higher C‐reactive protein, N‐terminal pro‐B‐type natriuretic peptide, higher E/e′, more impaired LV ejection fraction (LVEF < 50%), lower estimated glomerular filtration rate, permanent AF, and prevalent HF (all P < 0.05). LV deformations by three‐beat analysis well correlated with the respective results of traditional methods. Abnormal GLS (>− 14.7%) was common in our cohort (67.8%) despite an averaged preserved LVEF (58.4 ± 14.2%), with worse GLS and SRe being associated with higher composite HF re‐admissions/death during the 2.9 year follow‐up (inter‐quartile range, 1.6–4.1 years) in multivariate models incorporating key LV indices (LVEF, LV mass index, and E/e′) (all P < 0.001). Sensitivity analysis by excluding those with regional wall motion abnormality showed broadly similar findings. An improved risk reclassification was observed when GLS and SRe were separately added to the LVEF. Comparison of the AF cohort with a fully matched independent non‐AF cohort at the same baseline LVEF level showed a substantially lower GLS [− 13.2 ± 3.8% (AF) vs. 18.1 ± 3.2% (non‐AF)] and higher clinical events rate (hazard ratio, 1.41 [95% confidence interval, 1.14–1.75]; log‐rank P = 0.002) in the AF cohort. Conclusions Impaired LV function defined by myocardial deformation was common in patients with AF and provides independent prognostic values over conventional measures with improved risk prediction. Our data highlight the need for implementing cardiac deformations in daily practice for patients with AF.
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Affiliation(s)
- Jen-Yuan Kuo
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan.,Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan
| | - Sheng-Hsiung Chang
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan.,Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan
| | - Kuo-Tzu Sung
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan
| | - Po-Ching Chi
- Department of Cardiology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Jo-Nan Liao
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Cardiovascular Research Center and Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tze-Fan Chao
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Cardiovascular Research Center and Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Cheng-Huang Su
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan.,Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan
| | - Hung-I Yeh
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan.,Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan
| | - Chung-Lieh Hung
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.,Department of Medicine, Mackay Medical College, New Taipei, Taiwan.,Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan.,Institute of Biomedical Sciences, Mackay Medical College, New Taipei City, Taiwan
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