|Noninvasive measurement of cardiac performance in recovery from exercise in heart failure patients.|
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|PMID: 21655761 Owner: NLM Status: MEDLINE|
|OBJECTIVE: To examine the association between cardiac performance during recovery and the severity of heart failure, as determined by clinical and cardiopulmonary exercise test responses.
METHODS: As part of a retrospective cohort study, 46 heart failure patients and 13 normal subjects underwent cardiopulmonary exercise testing while cardiac output was measured using a noninvasive device. Cardiac output in recovery was expressed as the slope of a single exponential relationship between cardiac output and time; the recovery-time constant was assessed in relation to indices of cardiac function, along with clinical, functional, and cardiopulmonary exercise responses.
RESULTS: The recovery time constant was delayed in patients with heart failure compared with normal subjects (296.7 ± 238 vs. 110.1 ±27 seconds, p <0.01), and the slope of the decline of cardiac output in recovery was steeper in normal subjects compared with heart failure patients (p<0.001). The slope of the decline in cardiac output recovery was inversely related to peak VO(2) (r = -0.72, p<0.001) and directly related to the VE/VCO(2) slope (r = 0.57, p,0.001). Heart failure patients with abnormal recovery time constants had lower peak VO(2), lower VO(2) at the ventilatory threshold, lower peak cardiac output, and a heightened VE/VCO(2) slope during exercise.
CONCLUSIONS: Impaired cardiac output recovery kinetics can identify heart failure patients with more severe disease, lower exercise capacity, and inefficient ventilation. Estimating cardiac output in recovery from exercise may provide added insight into the cardiovascular status of patients with heart failure.
|Jonathan N Myers; Pradeep Gujja; Suresh Neelagaru; Leon Hsu; Daniel Burkhoff|
|Type: Journal Article|
|Title: Clinics (São Paulo, Brazil) Volume: 66 ISSN: 1980-5322 ISO Abbreviation: Clinics (Sao Paulo) Publication Date: 2011|
|Created Date: 2011-06-09 Completed Date: 2011-12-28 Revised Date: 2013-06-28|
Medline Journal Info:
|Nlm Unique ID: 101244734 Medline TA: Clinics (Sao Paulo) Country: Brazil|
|Languages: eng Pagination: 649-56 Citation Subset: IM|
|VA Palo Alto Health Care System, California, United States. firstname.lastname@example.org|
|APA/MLA Format Download EndNote Download BibTex|
Cardiac Output / physiology*
Exercise / physiology*
Exercise Test / methods
Heart Failure / physiopathology*
Monitoring, Physiologic / methods
Oxygen Consumption / physiology
Thermodilution / methods
Journal ID (nlm-ta): Clinics (Sao Paulo)
Publisher: Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
Copyright © 2011 Hospital das Clínicas da FMUSP
Received Day: 12 Month: 12 Year: 2010
Revision Received Day: 3 Month: 1 Year: 2011
Accepted Day: 27 Month: 1 Year: 2011
Print publication date: Month: 4 Year: 2011
Volume: 66 Issue: 4
First Page: 649 Last Page: 656
PubMed Id: 21655761
Publisher Id: cln_66p649
|Noninvasive measurement of cardiac performance in recovery from exercise in heart failure patients|
|Jonathan N MyersI|
IVA Palo Alto Health Care System Cardiovascular Medicine, California, United States.
IITexas Tech University of Health Sciences Cardiology, Texas, United States.
IIILonestar Arrhythmia and Heart Failure Center, Texas, United States.
IVColumbia University Cardiology, New York, United States.
|Correspondence: E-mail: email@example.com Tel.: 1 650 493-5000
The symptom-limited cardiopulmonary exercise test has long been an important tool for studying patients with cardiovascular disease. Its applications include classifying disease severity, evaluating the effects of therapy, estimating prognosis, and developing safe and effective exercise prescriptions.1,2 In recent years, the physiological response to recovery from exercise has been used to provide insight into the pathophysiology of cardiovascular disease. For example, impaired heart rate recovery (HRR) has been used widely over the last decade to describe a delay in vagal reactivation and predict outcomes in patients who are referred for exercise testing for clinical reasons.3-7 The kinetics of ventilatory gas exchange and cardiac performance during recovery have been of particular interest for patients with chronic heart failure (CHF). Delayed kinetics of the return of oxygen uptake to baseline levels during recovery from exercise has been related to CHF severity 8-12 and have been shown to be an independent prognostic marker.9 Magnetic resonance and near-infrared spectroscopy studies have shown that the delay in oxygen uptake recovery is attributable to a delay in the recovery of muscle energy stores, skeletal muscle metabolic abnormalities, microcirculatory changes, and prolonged elevations in cardiac output, and these responses appear to be independent of the exercise level achieved.12,13
The measurement of cardiac performance during recovery from exercise could provide added insight into circulatory impairment and risk stratification in CHF patients. As with more widely used indices for functionally classifying and estimating risk in CHF patients, impaired cardiac function is presumably at the foundation of abnormal recovery responses to exercise, but this issue has not been fully explored. Two studies have observed delayed cardiac output recovery in CHF patients using direct Fick measurements, and these studies demonstrated that the degree to which cardiac output is delayed is related to CHF severity.14,15 However, direct measurement of cardiac output is impractical for routine clinical use because it is invasive and expensive, is associated with additional risk, and is difficult to measure during and after exercise. Noninvasive methods, including CO2 rebreathing, bioimpedence, and echocardiography, have been used to measure cardiac output during exercise, but limitations regarding the validity and practicality of these techniques have been widely reported.16-20
If the recovery period is to have a useful clinical application in CHF, as suggested by recent studies, 7-13 noninvasive techniques that provide reasonably accurate and easily obtained measures of cardiac function must be available. One novel, noninvasive approach to quantifying cardiac function during exercise involves the analysis of blood flow-dependent changes in the phase shift of electrical currents applied across the chest.21,22 In contrast to the bioimpedance approach, which relies on the detection of flow-dependent changes in electrical signal amplitude, phase shift detection may be more precise and less subject to noise. The purpose of the current study was to use this noninvasive approach to examine the association between cardiac performance during recovery and CHF severity, as determined by clinical and cardiopulmonary exercise test responses.
Subjects: This was a retrospective cohort study of clinical data obtained from 59 consecutive subjects who were referred to a private cardiology clinic for cardiopulmonary exercise testing to evaluate dyspnea. The study was approved by the Texas Tech University of Health Sciences Committee on the Protection of Human Subjects, and all patients consented to the use of their data in the analysis. Forty-six subjects had heart failure (28 with EF <40%, 18 with normal EF determined by echocardiography), and 13 were ultimately diagnosed as normal (normal EF and peak VO2, with dyspnea based on noncardiac factors). The normal subjects were not matched with CHF patients by demographic factors but were used as a convenience group for comparison. The demographic and clinical characteristics of the subjects are summarized in Table 1. All subjects were limited by fatigue or dyspnea during exercise, and none showed clinical evidence of pulmonary disease or ischemic changes on ECG.
Symptom-limited maximal exercise tests were performed on a treadmill using a ramp protocol.23 The rate of change in speed and grade was individualized so that the test was targeted to last the recommended 8-12 minutes.2 The peak speed was 3.0 mph for all subjects. All subjects were asked to abstain from eating or smoking at least 3 hours prior to the test. Ventilatory oxygen uptake was measured using a Medical Graphics Corporation metabolic system (CPX-D, St. Paul, MN). Oxygen uptake and other gas exchange data were acquired breath-by-breath, reported as 30-second averages, and expressed as liters/min. Oxygen uptake, carbon dioxide production, minute ventilation, and respiratory exchange ratios were calculated online. A 12-lead electrocardiogram was monitored continuously and recorded every minute. Blood pressure was recorded manually every two minutes throughout the test. All subjects were encouraged to exert maximal effort; among patients with CHF, the Borg 0-to-10 perceived exertion scale was used to quantify effort.24
The ventilatory threshold was determined by two experienced, independent reviewers using the V-slope method25 and was confirmed by ventilatory criteria. VE and VCO2 responses, acquired from the initiation of exercise to peak exercise, were used to calculate the VE/VCO2 slope via least-squares linear regression (y = mx + b, m = slope).26,27 The oxygen uptake efficiency slope (OUES) was derived by the slope of a semi-log plot of minute ventilation versus VO2. As such, the OUES estimates the efficiency of ventilation with respect to VO2, with greater slopes indicating greater ventilatory efficiency.26,27
Cardiac output was estimated at rest, continuously throughout exercise, and for at least 6 minutes during the recovery period. Four dual electrodes were used to obtain cardiac output and other hemodynamic data. The NICOM® bioreactance-based system (Cheetah Medical Inc., Indianapolis, IN) is based on an analysis of the relative phase shifts that occur when oscillating currents traverse the thoracic cavity. These phase shifts contrast with traditional bioimpedance-based systems, which rely on measured changes in signal amplitude. The NICOM system consists of a radiofrequency generator for creating a high-frequency current that is injected across the thorax; 4 dual-surface electrodes, used to establish electrical contact with the body; a receiving amplifier for recording transthoracic voltage in response to injected current; and circuitry for determining the relative phase shift between the injected current and the recorded voltage. Within each dual electrode, one electrode was used by the high-frequency current generator, and the other was used by the input voltage amplifier. Signals were applied to and recorded from the left and right sides of the thorax; these signals were processed separately and averaged after digital processing.
The signal-processing unit of the system determined the relative phase shift (ΔΦ) between the input and output signals. ΔΦ, in turn, reflected changes in blood flow in the aorta. Stroke volume (SV) was estimated with the formula28 Age, gender, weight and height are mandatory inputs that are required before the device begins monitoring. The constant (C) is modified according to these specific data for each patient. The constant is derived from a thorough statistical analysis based on a multivariate regression between NICOM-derived parameters and cardiac output as measured by thermodilution. These analyses have shown that the constant is not affected significantly by factors other than those listed above, so it remains constant as calculated for each patient.
Cardiac output (CO) was calculated using the formula
NICOM measurements were obtained every minute during exercise and for 6 minutes into recovery. The time constant of cardiac output decay in recovery was determined for the monoexponential relationship between cardiac output and time during the first 5 minutes of recovery using the following formula:
For descriptive statistics, comparisons between normal subjects and CHF patients were performed using unpaired t-tests. Response differences between normal subjects and CHF patients with normal and abnormal cardiac output in recovery (defined as above or below the median time constant in recovery of 205 seconds) were assessed using one-way ANOVA. Post-hoc tests were performed using the Bonferroni method. The associations between noninvasive cardiac output data, clinical variables, and other exercise test responses were assessed using linear regression.
The square of the linear fit (R2) and the slope of the decline in cardiac output during recovery were lower in CHF patients compared with normal subjects (R2 = 0.97±1.6 vs. 0.88±0.15, p = 0.04, and recovery slope = -13.7±3.0 vs. -6.8±3.2, p<0.001). The recovery time constant was nearly threefold higher in CHF patients compared with normal subjects (110.1±27 vs. 296.7±328 seconds, p = 0.01).
Exercise test responses among normal subjects, CHF patients with a normal cardiac output recovery response, and CHF patients with an impaired cardiac output recovery response are summarized in Table 2. Overall, the mean maximal perceived exertion was 7.8±1.7, and the mean peak respiratory exchange ratio was 1.12±0.09, suggesting that maximal effort was exerted by most patients. Normal subjects generally achieved higher exercise test responses than CHF patients, and CHF patients with abnormal recovery responses had reduced exercise responses compared to those with normal recovery cardiac output. The mean peak VO2 values for normal subjects and CHF patients normal and abnormal recovery responses were 24.8±4, 16.7±4, and 13.2±3 ml/kg/min, respectively (p<0.001). Similarly, oxygen uptake at the ventilatory threshold was highest among normal subjects and lowest among CHF patients with impaired cardiac output responses in recovery. The VE/VCO2 slope was similar between normal subjects and CHF patients with a normal cardiac output time constant in recovery (0.28±0.03 and 0.31±0.05 respectively, NS), but the VE/VCO2 slope was heightened among CHF patients with delayed cardiac output responses during recovery (0.40±0.09, p<0.05 vs. the other 2 groups). Similarly, the OUES was not different between normal subjects (2.1±0.59) and CHF patients with normal cardiac output in recovery (1.8±0.52) but was reduced in CHF patients with abnormal cardiac output in recovery (1.2±0.55, p<0.05 vs. the other 2 groups).
Table 3 shows the differences in resting and peak exercise cardiac function variables among normal subjects and CHF patients with normal and delayed cardiac output in recovery. The resting ejection fraction was higher in normal subjects than in either CHF group (p<0.01), but resting cardiac output, cardiac index, peak aortic flow (dX/dt) and VET were similar among groups. At peak exercise, cardiac output, cardiac index, and dX/dt did not differ between normal subjects and CHF patients with a normal recovery response, but all 3 responses were reduced among CHF patients with a delayed cardiac output recovery response. The HRR at 2 minutes postexercise was higher in normal subjects than in either patient group and was higher in CHF patients with normal cardiac output responses in recovery than in CHF patients with impaired cardiac output in recovery (47±18, 31±18, and 17±6 beats in normal subjects and CHF patients with normal and abnormal cardiac output responses in recovery, respectively, p<0.001). The decline in stroke volume at 2 minutes in recovery was similar between normal subjects and CHF patients with normal recovery cardiac output (72.7±43 and 71.8±53 ml, respectively) but tended to be lower in CHF patients with abnormal cardiac output in recovery (51.8±34 ml). This difference represented cardiac output decreases of 48%, 43%, and 35% among normal subjects and CHF patients with normal and abnormal cardiac output responses in recovery, respectively.
Similar results were observed when ventilatory and cardiac function responses during exercise and recovery were compared between patients with normal and reduced ejection fraction (≥40 or <40%).
Table 4 presents correlation coefficients between cardiac performance measurements during exercise and recovery and key clinical and exercise test responses for the total study sample combined. Resting indices of cardiac function were poorly related to the cardiac output recovery slope and time constant, but significant associations were observed between cardiac output in recovery and peak VO2, maximal cardiac output and index, and maximal dX/dt. The associations between peak VO2, peak cardiac output, and cardiac output recovery slope for normal and CHF subjects are illustrated in Figure 1, and the associations between the VE/VCO2 slope, OUES, and cardiac output recovery slope for all subjects are illustrated in Figure 2. The cardiac output recovery slope was inversely associated with peak VO2 (r = -0.72) and maximal cardiac output (r = -0.50, p<0.01). The cardiac output recovery slope was significantly related to the VE/VCO2 slope (r = 0.57, p<0.01) and inversely related to the OUES (r = -0.58, p<0.01).
A great deal of interest has been generated in recent years regarding recovery from exercise in CHF patients.7-15 These studies have focused on delays in heart-rate recovery,7 delayed oxygen kinetics,8-13 and accumulated oxygen “debt” in recovery.29 It has been consistently demonstrated that impaired responses in recovery from exercise are associated with more severe heart failure and a worse prognosis.7-15 A number of factors that may contribute to abnormalities in recovery from exercise in CHF patients have been suggested, including a vagal reactivation delay, skeletal muscle metabolic abnormalities, microcirculatory changes, and sustained hyperpnea.7-15 Impairments in ability of cardiac output to return to normal during recovery from exercise have also been reported among CHF patients using direct Fick measurements. Tanabe et al.14 observed an “overshoot” of cardiac output in recovery from exercise in a subgroup of CHF patients with impaired cardiac output responses to exercise and more severe CHF. Other investigators have reported that abnormal oxygen kinetics in recovery (i.e., delayed time constant or half-time of VO2) among CHF patients parallel a delay in recovery of cardiac output. Reddy and colleagues,30 using a submaximal isometric protocol, reported that while cardiac output returned to baseline 90 seconds after exercise in normal subjects, cardiac output remained elevated for a prolonged period after exercise in patients with the most severe CHF. Similarly, Sumimoto et al.,15 using a supine cycle ergometer protocol, reported that the decline in cardiac output 5 minutes postexercise was significantly elevated in patients with the most severe CHF.
These studies suggest that the measurement of cardiac output in recovery may provide additional insight into the circulatory, metabolic, and autonomic abnormalities that characterize CHF and could have potential applications for the functional and prognostic assessment of these patients. However, the use of invasive measurements to quantify cardiac function in recovery is impractical for routine clinical purposes. We therefore employed a novel, noninvasive approach involving the analysis of blood flow-dependent changes in the phase shift of electrical currents applied across the chest. This approach differs from the bioimpedance approach, which relies on detecting flow-dependent changes in electrical signal amplitude that are inherently more difficult to detect and more subject to noise disturbances. Accordingly, this approach (called bioreactance) has an improved signal-to-noise ratio and is less susceptible to physical factors such as body habitus, body motion and ambient conditions. In both preclinical and clinical settings, this method was demonstrated to provide cardiac output values that were highly correlated with thermodilution methods 21, and it has been demonstrated to be valid in CHF patients undergoing maximal exercise testing.22 To our knowledge, noninvasive techniques have not previously been used to study CHF patients' recovery from exercise. Our objectives were to determine the feasibility of using this technique in recovery and to characterize the association between cardiac output in recovery and CHF severity as assessed by clinical and cardiopulmonary exercise test variables.
The observation that the degree of cardiac output impairment during recovery was related to CHF severity provides support for both the application of a noninvasive device and the clinical relevance of the recovery period among CHF patients. Our salient finding was that impaired cardiac output kinetics in recovery identify CHF patients with more severe disease, lower exercise capacity, reduced cardiac function at peak exercise, and inefficient ventilation. This finding was evidenced by a 30% lower maximal cardiac output in patients who demonstrated delayed cardiac output recovery kinetics; conversely, CHF patients with a normal recovery response had a mean maximal cardiac output that was similar to that of normal subjects (Table 3). The cardiac output delay in recovery appeared to be attributable to delays in both heart rate and stroke volume. In addition, patients with an abnormal recovery response demonstrated heightened and inefficient ventilation, as evidenced by a mean VE/VCO2 slope of 0.40±0.05, an OUES of 1.2±0.52 (values above and below conventional high-risk thresholds, respectively),27 and the significant relationship between VE/VCO2 slope, OUES and the recovery time constant (Figure 2). The latter indices have been widely used in recent years as markers of ventilatory inefficiency and are strongly related to outcomes in CHF.26,27 A heightened VE/VCO2 slope and reduced OUES reflect the degree of ventilation/perfusion mismatch in the lungs, early lactate accumulation, and abnormal ventilatory control, which are hallmarks of more severe CHF.26,27
We were only able to quantify the general pattern of cardiac output in recovery; instantaneous responses upon exercise cessation, recovery overshoot, 15 the duration of the impaired response in recovery and other patterns require further study. Because there are few previous studies in this area, the classification of abnormal cardiac function in recovery was empirical; there may be other methods with which to express this response. We did not have direct measures of cardiac function during recovery with which to compare the results from the noninvasive device. The effects of beta blockers and other drugs, age, and CHF etiology are all likely to influence the recovery response; however, because our study was retrospective, we were not able to gain insight into the effects of these factors. Finally, we used a convenience sample of subjects without CHF as a comparison group; the normal cardiac output response in recovery from exercise has not been previously established.
Impaired cardiac output kinetics in recovery from exercise identify CHF patients with more severe disease, lower exercise capacity, and inefficient ventilation, providing added insight into these patients' cardiovascular status. The noninvasive measurement of cardiac performance in recovery from exercise has potentially important applications for the functional and prognostic assessment of patients with CHF.
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Keywords: Heart failure, cardiac output, oxygen uptake, exercise testing, heart-rate recovery.
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