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Hossri C, Araujo F, Baldi B, Otterstetter R, Uemoto V, Carvalho C, Mastrocola L, Albuquerque A. Association among cardiopulmonary and metabolic rehabilitation, arrhythmias, and myocardial ischemia responses of patients with HFpEF or HFmrEF. Braz J Med Biol Res 2024; 57:e13174. [PMID: 38451608 PMCID: PMC10913385 DOI: 10.1590/1414-431x2024e13174] [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] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 02/01/2024] [Indexed: 03/08/2024] Open
Abstract
There's limited evidence of the potential benefits of cardiopulmonary and metabolic rehabilitation (CPMR) in patients with heart failure with preserved ejection fraction (HFpEF) or mildly reduced ejection fraction (HFmrEF) and coronary artery disease (CAD). The aim of this study was to investigate the impact of CPMR on the myocardial ischemia response (MIR), exercise-induced arrhythmias (EIA), New York Heart Association (NYHA) functional class, heart rate recovery (HRR), Borg CR10 perceived symptoms, and the SF-36 physical and mental health summary scores. A prospective cohort study was conducted with 106 patients undergoing 12 weeks of CPMR who completed two exercise tests pre- and post-CPMR: 1) maximum incremental test (CPX) and 2) submaximal constant load test (SUB). After CPMR, the effects on MIR, EIA, NYHA functional class, and HRR during both tests were analyzed. There was a significant change in NYHA functional classes after CPMR, with 96% of the patients in class I (vs 62% pre-CPMR, P<0.0001), 4% in class II (vs 32%), and none in class III (vs 6%). There was a significant reduction in the frequency of EIA (P<0.05) and MIR (P<0.001) and a significantly improved performance on both CPX and SUB tests (P<0.0001). Lastly, there was significant progress in the recovery metrics like HRR (P<0.0001), the Borg CR10 (P<0.0001), and the SF-36 summary scores (P<0.0001). The CPMR resulted in a significant decrease in EIA, delayed ischemia threshold in CPX and SUB tests, increased functional capacity, and improved quality of life.
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Affiliation(s)
- C.A.C. Hossri
- Hospital do Coração, Associação Beneficente Síria, São Paulo, SP, Brasil
- Pneumologia-Incor, Instituto do Coração, Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | | | - B.G. Baldi
- Hospital do Coração, Associação Beneficente Síria, São Paulo, SP, Brasil
- Pneumologia-Incor, Instituto do Coração, Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - R. Otterstetter
- School of Exercise and Nutrition Sciences, University of Akron, Akron, OH, USA
| | - V.R. Uemoto
- Setor da Bioengenharia, Instituto Dante Pazzanese, São Paulo, SP, Brasil
| | - C.R.R. Carvalho
- Hospital do Coração, Associação Beneficente Síria, São Paulo, SP, Brasil
- Pneumologia-Incor, Instituto do Coração, Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - L.E. Mastrocola
- Hospital do Coração, Associação Beneficente Síria, São Paulo, SP, Brasil
| | - A.L.P. Albuquerque
- Hospital do Coração, Associação Beneficente Síria, São Paulo, SP, Brasil
- Pneumologia-Incor, Instituto do Coração, Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
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Hortegal R, Maduro Y, Cancellier R, Grizante M, Paganelli M, Viana R, De Freitas RV, Uemoto VR, Passarelli R, Szewierenko P, Moriya HT, Hossri C, Buchler R, Meneghelo R, Franchini K. Mechanical dispersion of left ventricle and left atrial reservoir strain are both superior to global longitudinal strain to predict exercise capacity in heart failure with preserved ejection fraction. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeab289.077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public hospital(s). Main funding source(s): Fundação Adib Jatene
Background/Introduction:
Peak oxygen uptake (peak VO2) measures cardiovascular fitness and is a valuable diagnostic and prognostic marker in patients with heart failure with preserved ejection fraction (HFpEF). Measurement of peak VO2, however, requires specialized equipment and expert supervision, limiting its routine use by practicing clinicians.
Strain curves obtained by speckle tracking echocardiography (STE) can provide different parameters of myocardial mechanics such as the Global Longitudinal Strain (GLS), which is the most robust STE feature for clinical practice.
Notwithstanding, there is conflicting data on whether the GLS is associated with peak VO2 in HFpEF subjects.
Moreover, few studies have addressed the relationship between peak VO2 and other interesting deformation parameters such as the left atrial (LA) reservoir strain or the left ventricular mechanical dispersion (MD).
Purpose
The present study aimed to examine the utility of the myocardial mechanics as assessed by STE in predicting peak VO2 in patients with HFpEF.
Methods
From an ongoing prospective cohort of 189 subjects, we sampled subjects with different HFpEF stages. All patients underwent cardiopulmonary exercise testing (CPX) and a 2D-STE (LV GLS, MD, LA reservoir strain, LA conduit strain, and LA contraction strain) obtained by a blinded examinator. The missing data was handled by complete case analysis approach. We excluded subjects who had atrial fibrillation/flutter, severe COPD, STE with poor tracking quality, CPX with respiratory exchange rate (RER) < 1.
The Spearman"s correlation was calculated, and the 95% CI were estimated.
Finally, an estimative of the STE features importance to predict peak VO2 < 20mL/Kg/min was done using the function "xgb.importance()" from machine learning model XGBoost in R software. XGBoost is a variant of Gradient Boosting Method that uses ensembles of decision trees.
Results
We obtained 74 subjects (23 without evidence of heart disease, 23 with pre-heart failure and 28 with HFpEF). The MD presented the highest correlation with peak VO2 (Rho=-0.48; p-value < 0.001) followed by LA reservoir strain (Rho = 0.40; p-value < 0.001), LA conduit strain (Rho= –0.36; p-value < 0.001) and LA contraction (Rho= –0.30 p-value < 0.004) as shown in Figure 1. However, no correlation was found between GLS and peak VO2 (Rho= –0.07 p-value < 0.5) (Figure 2A).
The feature importance score (Figure 2B) showed the MD as the best relative contribution for VO2 prediction (gain= 0.34) superior to LA reservoir strain (gain = 0.25). GLS presented contribution (gain = 20) superior to LA conduit strain (gain =10) and LA contraction strain (gain = 0.08).
Conclusion
Left ventricular mechanical dispersion and left atrial reservoir strain obtained with STE were better predictors of peak VO2 than GLS in patients with different HFpEF stages and may be helpful in risk stratification and diagnosis. Abstract Figure 1 Abstract Figure 2
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Affiliation(s)
- R Hortegal
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - Y Maduro
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - R Cancellier
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - M Grizante
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - M Paganelli
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - R Viana
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - RV De Freitas
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - VR Uemoto
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - R Passarelli
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - P Szewierenko
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - HT Moriya
- University of Sao Paulo, Biomedical Engineering Laboratory, Sao Paulo, Brazil
| | - C Hossri
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - R Buchler
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - R Meneghelo
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
| | - K Franchini
- Institute Dante Pazzanese of Cardiology, Sao Paulo, Brazil
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