ORIGINAL RESEARCH article

Front. Physiol., 21 October 2022

Sec. Exercise Physiology

Volume 13 - 2022 | https://doi.org/10.3389/fphys.2022.1002238

Determinants of ventilatory inefficiency in transthyretin cardiac amyloidosis: The role of excessive ventilatory drive

  • 1. Department of Cardiology, CHU Martinique (University Hospital of Martinique), Fort de France, France

  • 2. Cardiovascular Research Team EA7525, Université des Antilles, Fort de France, France

  • 3. Department of Clinical Physiology, CHU Martinique (University Hospital of Martinique), Fort de France, France

  • 4. Department of Clinical Research, CHU Martinique (University Hospital of Martinique), Fort de France, France

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Abstract

Background and objective: Along with impaired aerobic capacity, increased slope of the relationship between ventilation (VE) and pulmonary CO2 output (VCO2), i.e., VE-VCO2 slope is a common finding in patients with cardiac amyloidosis (CA), which suggests ventilatory inefficiency. Little is known about mechanisms leading to ventilatory inefficiency in CA patients. The purpose of this investigation was to examine the factors that underlie the abnormal ventilatory efficiency in transthyretin hereditary CA patients, such as excessive ventilatory drive, inability of pulmonary blood flow to increase adequately during exercise and excessive sympathetic stimulation, which are known mechanisms of VE-VCO2 slope increase.

Methods: In this single-center retrospective observational study, consecutive patients (n = 41) with known familial transthyretin amyloidosis p.Val142Ile mutation carriers with confirmed cardiac phenotype were included.

Results: Compared with CA patients without ventilatory inefficiency (VE-VCO2 slope < 36), patients with ventilatory inefficiency (VE-VCO2 slope ≥ 36) had increased inter-ventricular septum thickness, lower VO2 peak along with hyperventilation, and prolonged post-exercise heart rate recovery. By multivariate analysis, only excess of minute-ventilation at anaerobic threshold (β = 0.127; p = 0.011) remained an independent predictor of ventilatory inefficiency.

Conclusion: Our data suggest that high ventilatory stimulation during exercise leading to hyperventilation is the main determinant of ventilatory inefficiency in hereditary transthyretin cardiac amyloidosis patients. This novel finding helps to better understand the mechanism of exercise intolerance in these patients where physiological limitation may be related to both heart dysfunction and abnormal pulmonary response.

Introduction

Cardiac amyloidosis (CA) is a rare cause of restrictive cardiomyopathy which results from extracellular deposition of misfolded proteins (Wechalekar et al., 2016; Maurer et al., 2019). CA amyloidosis is predominantly considered as a diastolic disease caused by increased myocardial stiffness and restrictive heart wall chamber behavior, along with poor systolic myocardial performance (Wechalekar et al., 2016; Clemmensen et al., 2017; Maurer et al., 2019). Impaired myocardial contractile reserve has also been described using either invasive monitoring or O2 kinetics-derived parameters (Clemmensen et al., 2017; Monfort et al., 2020). Poor aerobic capacity evaluated by maximal O2 uptake (VO2) and ventilatory inefficiency suggested by elevated slope of the relationship between ventilation (VE) and pulmonary CO2 output (VCO2) are commonly observed in exertional patients with CA (Hein et al., 2018; Yunis et al., 2019; Monfort et al., 2020; Bartolini et al., 2021; Bhutani et al., 2021; Dalia et al., 2021; Banydeen et al., 2022a).

In patients with chronic heart failure, VE-VCO2 slope has been attributed to high physiological dead space ratio (VD/VT ratio) during exercise, which may be due to combined effects of pulmonary ventilation-to-perfusion VA/Q mismatch and high ventilatory drive (Woods et al., 2010; Weatherald et al., 2018; Phillips et al., 2020). While true pulmonary ventilation-to-perfusion VA/Q mismatch is uncommon in patients with mild to moderate chronic heart failure without overt coexisting lung disease, blunted response in cardiac output to exercise will tend to augment VA/Q ratio and VE-VCO2 slope (Woods et al., 2010; Guazzi, 2014). Right ventricular dysfunction and impaired pulmonary hemodynamics can further lead to VD/VT ratio increase because regions of ventilated lung remain under perfused during exercise (Lewis et al., 2008; Methvin et al., 2011). Beside underperfusion of ventilated lung alveoli, increased ventilatory drive can also lead to inefficient ventilatory in patients with chronic heart failure. Indeed, patients with chronic heart failure can display rapid breathing and reduced tidal volume VT in response to exercise contributing to hyperventilation and elevated VD/VT ratio and VE-VCO2 slope increase (Weatherald et al., 2018). Likewise, abnormal ventilatory response to exercise in these patients has been attributed to imbalance between sympathetic and parasympathetic stimulation, which can be easily studied by post exercise heart rate recovery (Michael and Graham, 2017; Weatherald et al., 2018).

In patients with CA, little is known about the mechanisms leading to ventilatory inefficiency. The purpose of this investigation was to examine the factors that underlie the abnormal ventilatory efficiency in transthyretin hereditary CA patients, such as excessive ventilatory drive, inability of pulmonary blood flow to increase adequately during exercise and excessive sympathetic stimulation, which are known mechanisms of VE-VCO2 slope increase. In our study, ventilatory overdrive, blunted early onset of blood flow increase and sympathetic overstimulation during exercise were noninvasively assessed by increased ventilation at anaerobic threshold (excess VE@ATVO2), prolonged mean response time (MRT) of VO2 increase at the start of exercise, and poor heart rate recovery, respectively.

Materials and methods

Patients

In this single-center retrospective observational study, consecutive patients with known familial transthyretin amyloidosis p.Val142Ile mutation carriers with confirmed cardiac phenotype were included. The study was performed at the Department of Cardiology, Martinique University Hospital, France from September 2019 to May 2021. All patients were managed in accordance with the amended Declaration of Helsinki (http://www.wma.net/en/30publications/10policies/b3/) and gave their informed consent for the processing of personal data for scientific research purposes. The study was approved by the hospital’s institutional review board (IRB #01022019). Risks and description of the different procedures were explained to the patients, who confirmed their verbal informed consent to enter the study at the time when referred to the cardiovascular department for routine functional evaluation. As a follow-up to our previous work (Monfort et al., 2020), we have included a de novo series of CA patients.

Cardiac amyloidosis diagnosis

All patients declared African ancestries and gene sequencing displayed the transthyretin p.Val142Ile mutation. Systemic transthyretin amyloidosis was confirmed in all patients by histological demonstration of amyloid fibrils in salivary duct gland, subcutaneous adipose tissue or endomyocardial biopsies. Cardiac involvement was confirmed by nuclear imaging (General Electric Medical Systems SPECT gamma camera Discovery) showing cardiac uptake grade ≥2 of the Perugini classification of bone tracer technetium-99m-labeled hydroxy methylene diphosphonate [(99mTc)-HMDP]. Cardiac echography revealed the presence of left ventricular hypertrophy and abnormal myocardial texture characterized as a speckled appearance. Abnormal myocardial texture was defined by granular sparkling of the myocardial walls on echocardiography. Due to restricted availability of myocardial imaging techniques, longitudinal strain and resonance imaging were not performed. Cardiac biomarkers included serum high-sensitivity troponin and NT-proBNP. Only patients with NYHA functional class II or higher status were enrolled in the study.

Echocardiography

Transthoracic echocardiography was with commercially available ultrasound machines (Vivid E9 system from GE Vingmed and IE33 from Philips Norway) using a 2.5 MHz transducer. Two-dimension guided TM tracings, 2D and 3D cardiac loops, Doppler imaging, were generated at optimal time and spatial resolution and synchronized to the electrocardiogram. Cardiac loops were obtained during breath hold. All the images were recorded for off-line analysis. A single observer, blinded to clinical diagnose, performed image analysis. Interventricular septal and posterior wall thickness was measured in 2D-guided M-mode in agreement with the American Society of Echocardiography recommendations. LV end-diastolic and -systolic volumes were measured using Simpson’s biplane method. Left ventricular hypertrophy was defined by wall thickness >12 mm. The mitral inflow velocity pattern was recorded from the apical 4-chamber view with pulsed-wave Doppler sample volume, which was positioned at the tips of mitral leaflets during the diastolic time. Deceleration time, peak velocities of E and A waves, and mitral annulus lateral Ea velocity were averaged over three cardiac cycles. Parameters of right ventricular systolic function included tricuspid annular plane systolic excursion (TAPSE), peak systolic tissue Doppler velocity of the tricuspid annulus pulsed Doppler S wave (RV Sm) and fractional area change (RV-FAC).

Pulmonary function

Pulmonary function was performed on the request of patients’ cardiologists. Standard forced expiratory spirometry (forced expiratory volume in the first second (FEV1) and forced expiratory vital capacity (FVC) were evaluated (LF8, Ganshorn Medizin Electronic GmbH, Niederlauer, Germany) according to the European and American Thoracic Society guidelines (Graham et al., 2019). Lung volume was considered as normal FEV1/FVC ≥ 0.70 and FVC ≥ 80% of predicted values. Restrictive spirometry pattern was defined as FEV1/FVC ≥ 0.70 and FVC < 80% predicted values.

Cardiopulmonary exercise testing

All participants performed a cardiopulmonary exercise testing using an electromagnetic upright braked cycle ergometer following the ATS/ACCP recommendations (American Thoracic Society et al., 2013). Unstable cardiovascular diseases, orthopedic impairment that compromises exercise performance, and mental impairment leading to inability to cooperate contraindicated the cardiopulmonary exercise testing. Exercise protocol involved an initial 3 min resting condition, followed by unloaded cycling for 2 min. A progressive increment (10 W/min) until exhaustion at a pedaling frequency of 60–65 rpm was then applied. A 12-lead ECG (Case, GE Healthcare, France) was continuously recorded. Blood pressure was determined every 2-min. Breath-by-breath cardiopulmonary measurements (PowerCube-Ergo, Ganshorn Medizin Electronic GmbH, Niederlauer, Germany) were recorded at rest, unloaded warm up and during incremental exercise testing. Subjects breathed through an oro-nasal mask (Hans Rudolf 7450 SeriesV2™ Mask, CareFusion, France). Oxygen (O2), carbon dioxide (CO2) sensors, and flow mass sensor were calibrated before each test using precision gas mixture and a 3-L syringe, respectively. VO2 kinetics was first assessed during 3 min of unloaded exercise.

The rate of VO2 increase during unloaded cycling was expressed as the mean response time (MRT) for a mono-exponential curve fit to the 10 s-by-10 s VO2 measurements during the 3 min of unloaded cycling (Chatterjee et al., 2013). MRT is thus the exponential time constant of VO2 onset kinetics and approximates the time needed to reach 63% of steady-state VO2 (Chatterjee et al., 2013).

Minute ventilation (VE), oxygen uptake (VO2), carbon dioxide output (VCO2) were recorded as concurrent 10-s moving averages. The ventilation anaerobic threshold was determined by the V-slope method. Ventilatory reserve was calculated as ((MVV–peakVE)/MVV*100), where MVV is maximal voluntary ventilation calculated as FEV1 multiplied by 35. Predicted VE at anaerobic threshold (AT) was calculated as VE@AT = 21.8*VO2 + 5 (Jones and Campbell, 1982; Fairshter et al., 1987; Péronnet et al., 2007; Péronnet and Aguilaniu, 2014) and excess ventilation at anaerobic threshold (excess VE@ATVO2) was expressed as percent increase of predicted VE. Ventilatory efficiency, as indicated by VE relative to VCO2 (VE-VCO2 slope) rise was calculated off-line as a linear regression function using 10-s averaged values. The non-linear part of the relationship after the respiratory compensation point (where non-linear rise in VE occurred relative to VCO2 in the presence of decrease of end-tidal pressure of CO2) was excluded for VE-VCO2 slope calculation (Sun et al., 2002). According to the EACPR/AHA recommendations for the prognostic and diagnostic stratification for patients with heart failure, a value of 36 for VE-VCO2 slope was used as a cut-off for ventilatory inefficiency (Guazzi et al., 2012). Exercise oscillatory ventilation (EOV) was defined as a persistence of cyclic oscillatory ventilation pattern for at least 60% of exercise at an amplitude ≥15% of the average resting value (Guazzi et al., 2012).

Borg-perceived exertion ratings for both respiratory and leg discomfort were assessed at peak exercise in all subjects. Participants were encouraged to continue exercise cycling until a true symptom-limited exhaustive level was achieved. As recommended by the ATS/ACCP (American Thoracic Society et al., 2013), an effort was considered as maximal if two of the following criteria occurred: predicted maximal work achieved, age-predicted maximal heart rate (HRmax) achieved, ventilatory O2 equivalent VE/VO2 > 45, and respiratory exchange ratio (RER, i.e. volume of carbon dioxide produced/volume of oxygen consumed) >1.10. Immediately after peak exercise, participants underwent a 3-min cool-down. Heart rate (HR) recovery, measured as beat per minute (bpm), was defined as the difference between the highest observed HR (peak HR) during the graded exercise test and the heart rate measured at 1 min and 3-min of active recovery (Bailey et al., 2018). VO2 recovery kinetics was assessed by calculating the time from the end of loaded exercise until the VO2 permanently falls below peak VO2, i.e., VO2 recovery delay (Lauer, 2009).

Statistical analysis

Normally distributed data are presented as mean ± standard deviation (SD). Categorical data are presented as absolute values with percentages. Between group differences were assessed using t-test and Chi-square for normally distributed data and dichotomized data, respectively. Relationships between quantitative variables were assessed by the Spearman’s correlation coefficient. The role of key variables associated with ventilatory efficiency was tested by univariate and multivariate linear regression. Interaction terms were also tested. Variables with a p-value < 0.20 after univariate analysis were included in the multivariate model (forward). Goodness-of-fit of the final multivariate model was ascertained by the conditions of normality, homocedasticity and independence between observations, as assessed respectively by the tests of Shapiro-Wilk, White, and Durbin-Watson. Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 18.0 for Windows (SPSS, Inc., Chicago, IL). A two-sided significance level of 0.05 was chosen for all tests.

Results

Main demographics of patients with p.Val142Ile transthyretin cardiac amyloidosis are summarized in Table 1. Of the 46 eligible patients with cardiac amyloidosis, 5 patients were excluded due to cessation of the exercise protocol without apparent motive. Therefore, the final sample consisted of 41 patients who underwent clinical, biological and functional evaluation. The mean age of the cohort was 73 ± 7 years. All patients were symptomatic ranging from mild shortness of breath and slight limitation during ordinary activity to marked limitation in activity due to dyspnea and/or angina (NYHA II, III, and IV) with high NT-proBNP levels. Most patients received loop diuretics, whereas none had beta-blockers. Transthoracic echocardiography revealed reduced LV ejection fraction, increased LV wall thickness and diastolic dysfunction. Patients had reduced forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) with normal FEV1/FVC, suggesting lung volume restriction. With this de novo series of CA patients, we confirm our previous findings (Monfort et al., 2020) that patients with CA display poor aerobic capacity. CA patients displayed reduced peak VO2 which was associated with impaired VO2-kinetics evaluated by mean response time (MRT) of VO2 increase and VO2 recovery delay. An hyperkinetic response of heart rate (peak heart rate/VO2 ratio) was observed in CA patients during exercise (Table 1). CA patients also displayed reduced O2 pulse at peak exercise, while neither O2 pulse decline during exercise nor paradoxical rebound during recovery were observed. Reduced predicted peak VO2 was associated with hyperventilation suggested by increased peak ventilatory equivalent ratio for O2 (VE/VO2) and CO2 (VE/VCO2), excess ventilation at anaerobic threshold (VE@ATVO2) and low end-tidal CO2 partial pressure PETCO2.

TABLE 1

All ATTR patients (n = 41)VE-VCO2 slope ≥ 36 (n = 27)VE-VCO2 slope < 36 (n = 14)p-value
Age, years73 ± 773 ± 773 ± 70.977
Male gender, n (%)36 (88)23 (88)13 (87)0.613
BMI, kg/m224 ± 423 ± 325 ± 40.055
NYHA III/IV, n (%)28 (68)18 (69)10 (67)0.525
Baseline echocardiography
 IVS thickness, mm15.4 ± 2.917.6 ± 3.015.4 ± 2.30.029
 LV mass, g/m2178 ± 53194 ± 54158 ± 470.058
 LVEF, %51 ± 1650 ± 1554 ± 160.431
 Cardiac index, L min−1 m21.9 ± 0.41.8 ± 0.32.1 ± 0.50.077
 E/e' ratio14 ± 615 ± 513 ± 80.473
 PASP, mmHg38 ± 1143 ± 1234 ± 90.103
 RAP, mmHg8 ± 28 ± 36 ± 20.089
 RV FAC, %39 ± 1237 ± 1541 ± 90.626
 RV S, cm s−110 ± 310 ± 310 ± 30.795
 TAPSE17 ± 615 ± 718 ± 60.349
Baseline lung function
 FEV1, % predicted73 ± 1568 ± 1978 ± 150.075
 FVC, % predicted74 ± 1471 ± 1362 ± 120.088
 FEV1/FVC, %81 ± 882 ± 979 ± 70.216
CPET parameters
 Peak workload, %50 ± 1348 ± 1255 ± 140.0.96
 Peak VO2, ml kg−1 min−115.6 ± 3.415.0 ± 3.316.9 ± 3.10.063
 Peak VO2, %66 ± 1562 ± 1475 ± 100.003
 VO2/W slope10 ± 210 ± 311 ± 20.269
 ATVO2, ml kg−1 min−111.3 ± 3.010.7 ± 3.012.4 ± 2.80.090
 Peak RER1.2 ± 0.11.2 ± 0.11.2 ± 0.10.733
 Peak BF, min−136 ± 839 ± 834 ± 60.051
 Peak tidal volume, L1.4 ± 0.51.3 ± 0.41.6 ± 0.70.064
 Excess VE@ATVO2, %70 ± 2477 ± 2555 ± 150.004
 PETCO2@ATVO2, mmHg31.4 ± 2.932.7 ± 4.432.8 ± 3.00.899
 Peak PETCO2, mmHg32.4 ± 3.731.1 ± 3.434.8 ± 3.40.002
 Ventilatory reserve, %32 ± 1832 ± 2133 ± 120.722
 EOV, n (%)5 (12)5 (33)0 (0)0.004
 Peak VE/VO244 ± 746 ± 841 ± 50.025
 Peak VE/VCO237 ± 539 ± 535 ± 30.004
 VE VCO2 slope39 ± 542 ± 433 ± 2<0.0001
 Mean response time, sec38 ± 1136 ± 838 ± 80.497
 Peak O2 pulse, %75 ± 1674 ± 1676 ± 160.762
 VO2 recovery delay, sec51 ± 2553 ± 2742 ± 170.153
 Resting heart rate, bpm78 ± 1675 ± 1783 ± 160.150
 Resting systolic AP, mm Hg138 ± 24139 ± 26136 ± 220.709
 Resting diastolic AP, mm Hg85 ± 1788 ± 1880 ± 130.128
 Peak heart rate, bpm125 ± 20120 ± 21134 ± 150.037
 Peak heart rate, %85 ± 1282 ± 1291 ± 100.020
 Peak heart rate/VO2 slope8.7 ± 7.19.1 ± 8.88.2 ± 1.60.685
 Peak systolic AP, mm Hg176 ± 32177 ± 34173 ± 270.655
 Peak diastolic AP, mm Hg100 ± 19103 ± 1995 ± 180.179
 Heart rate recovery 1 min; %9 ± 58 ± 510 ± 50.411
 Heart rate recovery 3 min; %24 ± 1020 ± 929 ± 70.003
Biological parameters
 eGFR, ml/min/1.72 m283 ± 4184 ± 4093 ± 450.565
 Cardiac troponin T, ng/L147 ± 155158 ± 17195 ± 1030.273
 NT-proBNP, ng/L3,304 ± 2,2743,917 ± 2,3871833 ± 19710.068

Main characteristics of cardiac ATTR amyloidosis patients according to ventilatory inefficiency VE-VCO2 slope.

Abbreviations: AP, arterial pressure; ATTR, transthyretin amyloidosis; BMI, body mass index; bpm, beat per minute; NYHA, New York Heart Association (NYHA) classification; IVS, interventricular septum thickness; LV, left ventricle; LVEF, left ventricular ejection fraction; E/e', early diastolic transmitral velocity to early mitral annulus diastolic velocity ratio; PASP, pulmonary artery systolic pressure, RAP, right atrial pressure; RV, FAC, right ventricular fractional area change; TAPSE, tricuspid annular plane systolic excursion; RV S, peak systolic tissue Doppler velocity of the tricuspid annulus; CPET, cardiopulmonary exercise testing; BF, breathing frequency; Vt, tidal volume; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; VO2, oxygen uptake; RER, respiratory exchange ratio; VE, minute ventilation; VCO2, pulmonary carbon dioxide output; excess VE@ATVO2, excess ventilation at anaerobic threshold; PETCO2, end-tidal CO2 partial pressure; EOV, exercise oscillatory ventilation; eGFR, estimated glomerular filtration rate; NT-proBNP, N-terminal pro B-type Natriuretic Peptide. Results are presented as mean ± standard deviation for quantitative variables, and as absolute value (percentage) for categorical variables; Bold highlights the significant p-value for statistical significance set at p < 0.05.

Compared with CA patients without ventilatory inefficiency (VE-VCO2 slope < 36), patients with ventilatory inefficiency (VE-VCO2 slope ≥ 36) had higher inter-ventricular septum thickness and left ventricular mass (Table 1). Pulmonary artery systolic pressure and right atrial pressure were higher in patients with ventilatory inefficiency, whereas no differences were found for parameters evaluating right ventricular function, such as right ventricular fractional area change (RV FAC), tricuspid annular plane systolic excursion (TAPSE); and systolic tissue Doppler velocity of the tricuspid annulus (S) (Table 1). Likewise, no differences were found for mean response time (MRT) of VO2 increase in patients with ventilatory inefficiency compared with CA patients without ventilatory inefficiency (Table 1). Compared with CA patients with VE-VCO2 slope < 36, CA patients with VE-VCO2 slope ≥ 36 displayed lower VO2 peak along with higher peak ventilatory equivalent ratio for O2 (VE/VO2 ratio) and prolonged heart rate recovery at 3 min post exercise (Table 1). Exercise oscillatory ventilation (EOV) was only observed in CA patients with ventilatory inefficiency (VE-VCO2 slope ≥ 36). Univariate and multivariate analysis of predictors of VE-VCO2 slope for the overall population is shown in Table 2. By multivariate analysis, only excess VE@ATVO2 (β = 0.127; p = 0.011) remained independent predictors of VE-VCO2 slope.

TABLE 2

Univariate analysisMultivariate analysis
Pearson coefficientp-valueβ (95% CI)p-value
PASP, mmHg0.5560.011
RAP, mmHg0.4850.030
FVC, % predicted−0.3310.034
Peak workload, %−0.3520.024
Peak VO2, ml kg−1 min−1−0.3760.016
Predicted peak VO2, %−0.3590.021
Peak BF, min−10.4480.003
Peak tidal volume, L−0.3950.011
Excess VE@ATVO2, %−0.4410.0040.127 (0.034–0.220)0.011
Peak PETCO2, mmHg−0.4620.002
Peak VE/VCO20.3800.014
Peak heart rate, %−0.3240.039
Heart rate recovery 3 min; %−0.4410.004

Univariate and multivariate analysis of relationship between ventilatory inefficiency and main characteristics of cardiac ATTR amyloidosis patients (n = 41).

Abbreviations: ATTR, transthyretin amyloidosis; BMI, body mass index; NYHA, New York Heart Association (NYHA) classification; IVS, interventricular septum thickness; LV, left ventricle; LVEF, left ventricular ejection fraction; E/e', early diastolic transmitral velocity to early mitral annulus diastolic velocity ratio; PASP, pulmonary artery systolic pressure, RAP, right atrial pressure; RV, FAC, right ventricular fractional area change; TAPSE, tricuspid annular plane systolic excursion; RV S, peak systolic tissue Doppler velocity of the tricuspid annulus; CPET, cardiopulmonary exercise testing; BF, breathing frequency; Vt, tidal volume; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; VO2, oxygen uptake; RER, respiratory exchange ratio; VE, minute ventilation; VCO2, pulmonary carbon dioxide output; excess VE@ATVO2, excess ventilation at anaerobic threshold; PETCO2, end-tidal CO2 partial pressure; eGFR, estimated glomerular filtration rate; NT-proBNP, N-terminal pro B-type Natriuretic Peptide. Variables with a p-value < 0.20 after univariate analysis were included in the multivariate model (forward). Bold highlights the significant p-value for statistical significance set at p < 0.05.

Discussion

In our study, p. Val142Ile transthyretin CA displayed poor aerobic capacity, i.e., reduced predicted peak VO2, along with indirect evidence of hyperventilation such as increased peak ventilatory equivalent ratio for O2 (VE/VO2) and CO2 (VE/VCO2), excess ventilation at anaerobic threshold (VE@ATVO2) and low end-tidal CO2 partial pressure PETCO2. VO2-kinetics was impaired in CA patients, suggesting limited performance of the cardiovascular system to rapidly alter oxygen supply to the working muscles as well as limited ability of the skeletal muscle to utilize oxygen. Compared with CA patients without ventilatory inefficiency, patients with ventilatory inefficiency had lower peak VO2 along with elevated ventilatory drive, exercise oscillatory ventilation (EOV) and prolonged post-exercise heart rate recovery. By multivariate analysis, only excess VE@ATVO2 remained an independent factor of ventilatory inefficiency.

Results of our study suggest that underperfusion of ventilated lung alveoli leading to VA/Q ratio mismatch may be involved in VE-VCO2 slope increase. This is supported by the findings that our CA patients displayed baseline right ventricular dysfunction along with abnormal O2 kinetics and reduced O2 pulse, which suggest limited blood flow increase to exercise. However, CA patients with VE-VCO2 slope ≥ 36 had similar baseline right ventricular dysfunction, O2 pulse and O2 kinetics impairment compared with CA patients with VE-VCO2 slope < 36. Of note, mean response time of VO2 increase at the start of exercise (MRT VO2) and VO2 recovery delay which has been closely related to exertional right ventricular dysfunction (Chatterjee et al., 2013) and poor cardiovascular response (Lauer, 2009) respectively, were not associated with ventilatory inefficiency in CA patients included in our study.

CA patients with ventilatory inefficiency had lower peak exercise end-tidal CO2 partial pressure (PETCO2) compared with patients without ventilatory inefficiency. This finding may suggest pulmonary arterial pressure rise at peak exercise because the decrease of PETCO2 from rest to peak exercise has been consistently associated with pulmonary hypertension. Overall, that right ventricular dysfunction and blunted cardiac output rise would participate to VE-VCO2 slope increase in p.Val142Ile transthyretin CA patients is not supported by our results.

According to the alveolar ventilation equation, VE-VCO2 slope is determined by two factors, which are the direction and magnitude of arterial CO2 partial pressure (PaCO2) changes and the fraction of tidal volume (the volume of air moved into or out of the lungs during a normal breath) that goes to dead space, i.e., the physiological dead space ratio (VD/VT ratio) (Weatherald et al., 2018; Phillips et al., 2020). Hence, an excessive ventilatory drive leading to PaCO2 decrease would induce VE-VCO2 slope. In our patients, excessive ventilatory response to exercise was supported by increased ventilatory equivalent ratio for O2 (VE/VO2) and CO2 (VE/VCO2), low PETCO2 levels and excess ventilation at the anaerobic threshold (VE@ATVO2). Excess VE@ATVO2 is a reliable marker of elevated ventilatory drive, which is not affected by transient hyperventilation early in exercise and by metabolic acidosis during high levels of exercise (Jones and Campbell, 1982; Fairshter et al., 1987; Péronnet et al., 2007; Péronnet and Aguilaniu, 2014). According to Jones and Campbell equation (Jones and Campbell, 1982), expected ventilation during exercise from baseline to anaerobic threshold may be calculated as a linear function of oxygen uptake (VO2). Minute-ventilation increase is called hyperpnea. Any minute-ventilation increase above the expected calculated value is referred as hyperventilation. In our study, compared with patients without inefficiency, CA patients with ventilatory inefficiency had higher excess VE@ATVO2, which was considered an independent factor of ventilatory inefficiency. Because arterial blood gas analysis was not performed in our study, whether excessive ventilatory stimulation in CA patients with ventilatory inefficiency would have driven down PaCO2, thus increasing VE-VCO2 slope remain speculative. Observation that CA patients with VE-VCO2 slope increase also displayed exercise oscillatory ventilation (EOV) may indicate major ventilatory instability, as both events share common determinants such as enhanced dead space, early occurrence of acidosis, and abnormal chemoreflex and/or metaboreflex activity.

Neurological manifestations including signs of neuropathy and dysautonomia due to amyloid damage of small myelinated and unmyelinated fibres are frequently reported in patients with transthyretin CA (Goldstein, 2016; Siddiqi and Ruberg, 2018; Gonzalez-Duarte et al., 2019; Kharoubi et al., 2021; Banydeen et al., 2022b). Small unmyelinated fibres amyloid damage may also alter mechano-reflex and metabo-reflex, so called ergoreflex, which modulates ventilation and cardiovascular function during exercise (Boyes et al., 2022). Ergoreflex sensitivity is typically overstimulated in heart failure contributing to sympathetic outflow increase and sympathovagal imbalance (Aimo et al., 2021; Boyes et al., 2022). Whereas ergoreflex sensitivity was not evaluated in our study in CA patients, we found that post-exercise heart rate recovery, a robust surrogate of cardiac autonomic imbalance, was markedly impaired in CA patients and correlated with ventilatory inefficiency. Hence, together with impaired autonomic cardiopulmonary regulation via peripheral (carotid body) and central (medullary) chemoreceptors, excessive stimulation of ergoreceptors (Aimo et al., 2021; Boyes et al., 2022) may have heightened the sympathetic activity converging to hyperventilation and increased VE-VCO2 slope. Further studies aimed to test whether the ergoreflex is impaired in CA patients are warranted.

Our study has several limitations. The sample size of our cohort is small that is mainly explained by the fact that transthyretin cardiac amyloidosis remains a rare disease even in expert centers evaluating cardiopulmonary function in these patients. Evaluation of right ventricular performance by echocardiography is challenging. While our results confirm that right ventricular performance is impaired in hereditary CA patients, no association with VE-VCO2 slope increase was observed, which contradicts previous findings. Invasive hemodynamic data of right ventricular and pulmonary hemodynamics should be implemented to better investigate the relationship between poor left and right-side heart function and ventilatory inefficiency. Impairment of VO2-kinetics was interpreted as being related to limited performance of the cardiovascular system to rapidly alter oxygen supply to the working muscles, but abnormal VO2-kinetics can also be related to a limited ability of the skeletal muscle to utilize oxygen.

Sympathetic outflow increase and sympathovagal imbalance was indirectly suggested by impaired post-exercise heart rate recovery. Direct measurement of sympathetic outflow, as well as ergoreflex and peripheral/central chemoreceptor sensitivity should be investigated in details in CA patients.

We have previously shown that blunted cardiac output rise in response to exercise participate to exercise intolerance in Afro-Caribbean patients with val122Ile (p.Val142Ile) ATTRv cardiomyopathy. It was shown that exercise-induced cardiac output rise in ATTRv patients was primarily achieved by increase of heart rate, while stroke volume (SV) failed to increase adequately relative to VO2 increase. In the present study, CA patients with higher VE-VCO2 slope demonstrated significantly lower peak heart rate in comparison with patients with relatively normal VE-VCO2 slope, which may suggest lower cardiac output at peak exercise. Hence, we cannot formally exclude that CA patients exhibit abnormal underperfusion of ventilated lung alveoli leading to VD/VT ratio and VE-VCO2 slope increases.

Overall, the present study has added novel contribution to explain elevated VE-VCO2 slope in CA patients. Consistently with previous finding showing that CA patients can display abnormal pulmonary function (Banydeen et al., 2022a), our results suggest that excessive ventilatory drive could also participate to the elevated VE-VCO2 slope in CA patients.

Conclusion

Results of our study confirm that patients with transthyretin CA show abnormal cardiopulmonary responses at CPET evaluation, which is characterized by reduced VO2 peak values VE-VCO2 slope increase. Our study provides new information regarding the mechanisms of ventilatory inefficiency in patients with transthyretin cardiac amyloidosis. Our data suggest that high ventilatory stimulation during exercise leading to hyperventilation is the main determinant of VE-VCO2 slope increase in hereditary transthyretin CA patients. The role of ergoreflex and peripheral/central chemoreceptor sensitivity, which are involved in excessive ventilatory response to exercise should be studied in details (Hearon et al., 2019).

Statements

Data availability statement

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by University Hospital Martinique, Institutional Review Board (IRB #01022019). The patients/participants provided their written informed consent to participate in this study.

Author contributions

AM, ET, ML, RB collected patient data. JI and RN analyzed and interpreted patient data. RN wrote the manuscript. All authors read and approved the final manuscript.

Acknowledgments

We are particularly grateful to all the patients and their families who contributed data towards this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Glossary

  • AT

    anaerobic threshold

  • BF

    breathing frequency

  • BMI

    body mass index

  • bpm

    beat per minute

  • BNP

    brain natriuretic peptide

  • CA

    cardiac amyloidosis

  • CI

    chronotropic incompetence

  • CPET

    cardiopulmonary exercise testing

  • E/e'

    early diastolic transmitral velocity to early mitral annulus diastolic velocity ratio

  • eGFR

    estimated glomerular filtration rate

  • FEV1

    forced expiratory volume in the first second

  • FVC

    forced expiratory vital capacity

  • HR

    heart rate

  • IVS

    interventricular septum thickness

  • LVEF

    left ventricular ejection fraction

  • MRT

    mean response time

  • MVV

    maximal voluntary ventilation

  • NYHA

    New York heart association

  • PaCO2

    arterial CO2 partial pressure

  • PASP

    pulmonary artery systolic pressure

  • PETCO2

    end-tidal CO2 partial pressure

  • RAP

    Right atrial pressure

  • RV FAC

    right ventricular fractional area change

  • RV S

    peak systolic tissue Doppler velocity of the tricuspid annulus

  • RER

    respiratory exchange ratio

  • SPECT

    single-photon emission computed tomography

  • SV

    stroke volume

  • SVR

    systemic vascular resistance

  • TAPSE

    tricuspid annular plane systolic excursion

  • VA/Q

    pulmonary ventilation-to-perfusion

  • VCO2

    carbon dioxide output

  • VD

    dead volume

  • VT

    tidal volume

  • VD/VT

    physiological dead space

  • VE

    minute ventilation

  • VO2

    oxygen uptake

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Summary

Keywords

cardiac amyloidosis, cardiopulmonary exercise testing, oxygen kinetics, transthyretin, ventilatory efficiency

Citation

Monfort A, Thevenet E, Lacavalerie MR, Banydeen R, Inamo J and Neviere R (2022) Determinants of ventilatory inefficiency in transthyretin cardiac amyloidosis: The role of excessive ventilatory drive. Front. Physiol. 13:1002238. doi: 10.3389/fphys.2022.1002238

Received

24 July 2022

Accepted

11 October 2022

Published

21 October 2022

Volume

13 - 2022

Edited by

Martin Burtscher, University of Innsbruck, Austria

Reviewed by

Ilya Giverts, Massachusetts General Hospital and Harvard Medical School, United States

Daniel Neunhaeuserer, Università degli Studi di Padova, Italy

Updates

Copyright

*Correspondence: Remi Neviere,

This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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