Journal of Applied Physiology Watch the video to see how APS reaches out to developing nations.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Appl Physiol 87: 809-816, 1999;
8750-7587/99 $5.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bauer, T. A.
Right arrow Articles by Hiatt, W. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bauer, T. A.
Right arrow Articles by Hiatt, W. R.
Vol. 87, Issue 2, 809-816, August 1999

Oxygen uptake kinetics during exercise are slowed in patients with peripheral arterial disease

Timothy A. Bauer1, Judith G. Regensteiner1,2, Eric P. Brass5, and William R. Hiatt1,3,4

1 Section of Vascular Medicine, Divisions of 2 General Internal Medicine, 3 Geriatrics, and 4 Cardiology, University of Colorado Health Sciences Center, Denver, Colorado 80262; and 5 Department of Medicine, Harbor-UCLA Medical Center, Torrance, California 90509


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Patients with peripheral arterial disease (PAD) have arterial occlusions that limit peripheral blood flow. This study evaluated the dynamic response in O2 consumption (VO2) at the onset of constant-load exercise (VO2 kinetics) in patients with PAD. Eight patients with bilateral PAD, seven patients with unilateral PAD, nine age-matched nonsmoking controls, and seven smoking controls performed graded treadmill exercise to assess peak VO2. Subjects also performed constant-load exercise tests at 2.0 miles/h at 0 and 4% grade to determine VO2 kinetics. Peak VO2 was reduced 50% in patients with PAD compared with both control groups (P < 0.05). At 4% grade, phase 2 VO2 kinetics were significantly slowed for the PAD groups compared with controls (60.1 ± 15.7 and 58.7 ± 8.3 s, unilateral and bilateral PAD groups, respectively; compared with 28.4 ± 19.3 and 27.9 ± 8.1 s, nonsmoking and smoking controls, respectively; P < 0.05). No relationship was found between VO2 kinetics and disease severity. These data demonstrate that VO2 kinetics are markedly slowed in patients with PAD. The impairment in VO2 kinetics is not related to smoking status or arterial disease severity and therefore may reflect altered control of skeletal muscle metabolism.

heart rate; oxygen consumption; muscle metabolism


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

WITH THE TRANSITION from rest to constant-load exercise, the rate of change in O2 uptake (VO2 kinetics) reflects the ability of the cardiopulmonary system to deliver O2, as well as the rate at which O2 is taken up and utilized by exercising skeletal muscle. Changes in VO2 kinetics with disease may provide insight into the alterations in physiological regulation that are associated with an impairment in exercise performance and functional capacity.

Cardiovascular diseases are associated with a profound impairment in both submaximal and peak exercise performances. Slowed VO2 kinetics have been well documented in patients with cardiovascular diseases that affect the central "cardiac" component of VO2 kinetics (coronary artery disease and cyanotic congenital heart disease) as well as in disease that exhibits both central and skeletal muscle defects (congestive heart failure) (2, 8, 13, 24, 26, 34, 35, 38). These observations are consistent with the concept that an impaired cardiac output response to exercise limits O2 delivery to skeletal muscle, resulting in a slower response of VO2 to any externally imposed work demand. This is in contrast to healthy subjects whose VO2 kinetics are limited by either a maldistribution of blood flow to the working tissues or inertia of oxidative enzyme activities (6, 15).

In patients with peripheral arterial disease (PAD), arterial occlusions in the lower extremity limit peripheral blood flow; this results in impaired functional walking ability (17, 28). Patients with claudication typically have adequate resting blood flow to maintain tissue viability. However, with walking exercise, the inadequate delivery of O2 and substrate to match metabolic demand results in muscle ischemia, claudication pain, and alterations in skeletal muscle metabolism (17, 20). Furthermore, these patients have on average a 50% reduction in peak exercise performance as well as a decreased VO2-work rate slope during incremental exercise (16). These observations suggest that the rate of VO2 adaptation to an increase in work rate is attenuated in PAD and reflects an attenuation of the dynamic response of VO2 as well as a defect in oxidative metabolism in meeting energy demands. Potentially, the obstruction of blood flow through the major conduit vessels, alterations in skeletal muscle metabolism associated with PAD, or both, could slow the kinetic response of VO2 during the transition from rest to exercise. To directly test the hypothesis that PAD is associated with slowed VO2 kinetics, we measured VO2 kinetics in patients with unilateral and bilateral PAD, and in healthy, nonsmoking subjects and otherwise healthy controls who smoked. The specific aims of the present study were 1) to determine if VO2 kinetics were slowed in patients with PAD compared with healthy, age-matched, nonsmoking controls and otherwise healthy smoking controls, 2) to characterize VO2 kinetics in patients with unilateral PAD vs. bilateral PAD, and 3) to determine whether the hemodynamic severity of PAD could account, in part, for altered VO2 kinetics.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subjects. Thirty-one subjects were enrolled in this study: eight patients with bilateral PAD; seven patients with unilateral PAD; nine healthy, age-matched, nonsmoking controls; and seven smoking, but otherwise healthy, controls. The study was approved by the University of Colorado Multiple Institutional Review Board, and informed consent was obtained from all subjects.

PAD was confirmed by the measurement of the ankle-brachial index (ABI; described below). Patients with PAD were enrolled who had an ABI <=  0.85 in the worse affected leg (the most symptomatic had the lowest ABI). All PAD patients had claudication, defined as aching in the calf muscles that occurred only with exercise and was completely relieved after 10 min of rest. Patients with bilateral disease exhibited claudication symptoms and decreased ABIs in both legs. Patients with unilateral disease were defined as exhibiting claudication symptoms meeting ABI criteria for PAD in the worse affected leg, and with no claudication symptoms and a normal ABI (>0.95 at rest) in their less affected leg. All PAD patients were current smokers, with a pack · yr history (packs/day × no. of yr of smoking) of >30 yr. Of the 14 PAD patients accepted for study, 7 were taking aspirin, 4 were treated with calcium channel blockers, 3 were treated with diuretics, 2 with lipid-lowering drugs, 2 with angiotensin-converting enzyme inhibitors, and 2 with nitrates. Patients were excluded if they exhibited ischemic rest pain or were exercise limited by symptoms other than PAD (heart failure, pulmonary disease, angina). Patients with diabetes and patients taking medications which may alter exercise responses (i.e., beta blockers) were also excluded (30).

Nonsmoking control subjects had no chronic medical diseases (by history and a normal physical exam), were taking no medications, and had no cigarette smoking history. Nonsmoking control subjects had no history of claudication, had normal ABIs at rest, and had normal electrocardiograms (ECGs) at rest as well as during and after exercise. Smoking controls were all current smokers with a self-reported history of >= 20 pack · yr, but they were otherwise healthy as defined above. Smoking subjects were included in the study design to aid in discrimination between potential effects of smoking vs. PAD on the time constant of VO2 kinetics (25, 33).

Exercise protocol. Subjects were not allowed to smoke within 60 min before the start of any of the exercise testing. After familiarization with the treadmill, all subjects were initially tested with a graded treadmill protocol. Patients with PAD (unilateral and bilateral) performed a graded treadmill test at a constant speed of 2.0 miles/h starting at 0% grade and increasing 2.0% every 2 min until maximal claudication pain occurred (14). Subjects without PAD (nonsmoking controls and smoking controls) performed a standard Bruce treadmill protocol to maximal effort (10). All tests were performed on a Quinton 4000 treadmill (Quinton Instruments, Seattle, WA). Heart rate (HR) was measured minute-by-minute by using 12-lead ECG recordings. Blood pressure was monitored by auscultation during every stage of graded exercise.

All subjects performed multiple exercise tests at a constant work rate from rest to 2.0 miles/h, 0% grade on 1 day and at 2.0 miles/h, 4% grade on another day that was separated from the first test by 1 wk. These workloads were chosen because they were well tolerated by all subjects and could be sustained for at least 6 min. These workloads elicited a 450-700 ml/min change in absolute VO2 from baseline. The exercise at 4% grade corresponded to VO2 values well below the ventilatory anaerobic threshold (VAT) for the healthy subjects. In patients with PAD, the steady-state VO2 at 4% grade was below the peak VO2 (VO2 peak) attained during claudication- limited exercise. The VAT could not be measured in PAD patients, because the incremental tests were terminated due to claudication before attaining gas-exchange criteria for establishing VAT. To minimize intertest variance, subjects were familiarized with the testing protocol on the first day, with six to ten 30-s transitions from rest to exercise. As part of the familiarization, each subject initiated walking on a moving treadmill (2.0 miles/h) with the same foot for each transition; one hand was on the handrail, the other was held at the side. The tests for assessment of VO2 kinetics consisted of obtaining 3 min of resting data, followed by 6 min of constant-rate walking. Each of the 0 and 4% grade tests were repeated four times to allow an average response to be calculated. Subjects rested for 20 min in a seated position between exercise tests.

Measurement of gas exchange. With the use of a Medical Graphics CPX/D metabolic system (Medical Graphics Corporation, St. Paul, MN), rates of VO2 and CO2 output (VCO2) were measured breath by breath and averaged to 20-s intervals for the determination of VO2 peak. VO2 peak was defined as the highest VO2 achieved during the graded test. Respiratory exchange ratio (RER) was calculated as the ratio of VCO2 to VO2. Breath-by-breath data for kinetic analysis were acquired for VO2 and minute ventilation by using the same metabolic system. HR data were recorded and calculated simultaneously with each ventilatory data point by the CPX/D system via Transistor Type Logic signaling from the ECG recorder. All breath-by-breath data collected were saved as ASCII files and were stored to disk for later analysis.

Kinetic analysis. Specific analytic software for the kinetic analysis was developed at the University of Colorado Health Sciences Center Vascular Research Metabolic Laboratory. Breath-by-breath VO2 and HR data from the constant workload tests were time interpolated to 1-s intervals. The four tests at each workload were then time aligned and averaged by the superimposition of data files. A five-point filter was used to eliminate aberrant breaths from the average response curve. For each value in a response curve, two values preceding and two values after the value in question were considered in the calculation of an expected datum value. Rejection criteria were defined as a range of acceptable values determined as a percentage of the calculated mean for each time-interpolated interval. Rejection criteria and weighting of each of the five points in the calculation were predetermined before filtering. By using a statistical program [BMDP (1988), Los Angeles, CA], two mathematical models were employed to fit to the average-response curves by using nonlinear regression techniques. A single-exponential model without a time delay was used to assess the overall VO2 kinetic response at 2.0 miles/h, 0% grade because the VO2 response curve was monophasic and no phase 1 was observed. The curve is described by the formula
<A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB>(<IT>t</IT>) = <A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB>(<IT>b</IT>) + <IT>A</IT><SUB>1</SUB>[1 − <IT>e</IT><SUP>−(−<IT>t</IT>/&tgr;)</SUP>] (1)
In the single-exponential model, VO2(t) is the VO2 at time t, VO2(b) is the resting baseline VO2 (in ml/min) before exercise, A1 (in ml/min) is the difference between the baseline value and the new steady state, and tau  (in s) is defined as the time constant representing the rate of increase in VO2 of the exercise-response curve [equal to time (in s) to 63% of the change in VO2 from baseline to steady-state exercise].

In contrast to the VO2 responses at 0% grade, the test at 4% grade resulted in a much larger increase in VO2; thus a phase 1 and 2 component of the curves were observed. Multiexponential mathematical modeling was used to fit the average VO2 response curves at 2.0 miles/h, 4% grade exercise and was utilized to describe three distinct phases of VO2 kinetics.
<A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB>(<IT>t</IT>) = <A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB>(<IT>b</IT>) + <IT>A</IT><SUB>0</SUB>[1 − <IT>e</IT><SUP>−(−<IT>t</IT>/&tgr;<SUB>0</SUB>)</SUP>]   <IT>phase 1</IT>
+ <IT>A</IT><SUB>1</SUB>[1 − <IT>e</IT><SUP>−(−<IT>t</IT> − TD<SUB>1</SUB>)/&tgr;<SUB>1</SUB></SUP>]   <IT>phase 2</IT>
+ <IT>A</IT><SUB>2</SUB>[1 − <IT>e</IT><SUP>−(−<IT>t</IT> − TD<SUB>2</SUB>)/&tgr;<SUB>2</SUB></SUP>]   <IT>phase 3</IT> (2)
The first exponential fit the initial rapid increase in VO2 at the onset of exercise, which represents an increase in pulmonary blood flow (cardiodynamic phase of VO2 kinetics: phase 1) (Fig. 1) (36). For comparisons of phase 1, tau 0 (in s) described the rate of rise in VO2 during phase 1, and A0 described the change in amplitude of VO2 (in ml/min). After a time delay (TD1; in s), the second exponential fit phase 2 of the response curve, reflecting peripheral O2 delivery and VO2 (6, 7, 36). Phase 2 comparisons between groups were made by using tau 1 (the rate of rise in VO2 during phase 2) and A1 [the change in amplitude of VO2 (in ml/min) from the end of phase 1 to the new steady state]. There was also the possibility of a third exponential fit, phase 3 (the slow component of VO2 kinetics), which would follow a second time delay (TD2; in s). A phase 3 increase in VO2 would be expected under exercise conditions of high intensity and accumulation of systemic blood lactate (6, 7, 36). These conditions were not observed in PAD patients at these low work rates (19).


View larger version (35K):
[in this window]
[in a new window]
 
Fig. 1.   Representative O2 uptake (VO2) kinetic response curves for 2.0 miles/h, 4% grade treadmill exercise transitions from rest to exercise. Top: time-aligned averaged data and curve fit of a representative nonsmoking control subject (Control). Bottom: exercise data from patient with bilateral peripheral arterial disease (PAD). Both demonstrate a stable resting baseline VO2. Transition from rest to exercise is marked by a rapid increase in VO2 to an early plateau of phase 1 response. Tau0, time constant for phase 1; A0, change in VO2 from rest to the end of phase 1. After a time delay (TD1) that encompasses phase 1, phase 2 is characterized by a tau1 (phase 2), time constant, and A1, change in VO2 to the new steady state.

Kinetic VO2 data were also derived at 4% grade, independent of curve-fit modeling techniques, by the sum of breath-by-breath VO2 (Sigma VO2) over several intervals of exercise (from exercise onset to 60, 90, 120, 180, and 300 s). By using the raw breath-by-breath VO2 data (Bn, in ml/min) and the duration of each breath (Dn, in s), Sigma VO2 was calculated as the milliliters of VO2 consumed over a selected interval minus the product of resting baseline average (VO2x, in ml/min) and the duration of the selected interval in minutes (tint).
<LIM><OP>∑</OP></LIM> <A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB> = <FENCE><LIM><OP>∑</OP><LL>0</LL><UL><IT>n</IT> − 1</UL></LIM> (B<SUB><IT>n</IT></SUB>/60) (D<SUB><IT>n</IT></SUB>)</FENCE> − (<A><AC>V</AC><AC>˙</AC></A><SC>o</SC><SUB>2</SUB><IT> x</IT>)(<IT>t</IT><SUB>int</SUB>) (3)
Sigma VO2 was normalized to body weight to minimize the influences of weight on absolute VO2 requirements during treadmill exercise.

ABI. The ABI was calculated in all subjects before exercise testing. ABIs in patients with PAD and in smoking controls were also obtained 1 min after graded exercise. The postexercise ABIs of nonsmoking control subjects were not measured. While subjects were in the supine position, systolic blood pressure was measured in both arms with a Doppler ultrasonic instrument (model 841, Parks Medical Electronics, Beaverton, OR). The pressures in the dorsalis pedis and posterior tibialis vessels of each ankle were also measured in duplicate. The ratio of ankle-to-brachial systolic pressure was determined by taking the highest arm pressure divided into the higher of the two vessels in each ankle.

Data analysis. The data for all PAD patients (unilateral + bilateral) were combined and compared against the combined control groups (nonsmoking + smoking) for Sigma VO2 analyses. This was done to increase sample size and to provide better discrimination between differences in the PAD and control groups. All other analyses were made by using the means from each of the four separate groups. Between-subject analysis of variance was used to test for differences between groups at baseline. Paired differences were described by using Tukey-Kramer post hoc tests. Paired t-tests were used to compare changes within group means. The alpha level was set to 0.05 for statistical significance. Data are presented as means ± SD for each group.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subject characteristics. Patients with PAD and control groups were similar in age and weight (Table 1). Pack · yr of cigarette use did not significantly differ between the smoking control, unilateral PAD, or bilateral PAD groups but differed from the values observed for the nonsmoking control group (P < 0.05). ABIs differentiated PAD patients with unilateral disease from those with bilateral disease. The resting ABI in the less affected leg of unilateral PAD patients was similar to the resting ABI of nonsmoking controls and smoking controls. However, the resting ABI in the worse affected leg of unilateral patients was comparable to the resting ABI values observed in both legs of bilateral PAD patients. After peak exercise, ABIs decreased in the worse affected legs of unilateral PAD patients by 44% and in both legs of bilateral PAD patients (34% in the worse affected leg, 23% in the less affected leg; all P < 0.05 vs. rest, by paired t-tests). No decrease in postexercise ABI was observed in the smoking control group or in the less affected leg of unilateral PAD patients after peak exercise.

                              
View this table:
[in this window]
[in a new window]
 
Table 1.   Subject characteristics

Peak exercise performance. Unilateral and bilateral PAD patients attained a lower claudication limited VO2 peak (51 and 55%, respectively), lower HRpeak (23 and 31%, respectively), and lower RERpeak values (20 and 18%, respectively) compared with the combined control subjects (Table 2; P < 0.05 for each PAD group vs. Control). No differences in peak exercise performance variables were observed between the nonsmoking and smoking control subjects or between the unilateral and bilateral PAD groups.

                              
View this table:
[in this window]
[in a new window]
 
Table 2.   Peak performance characteristics

VO2 kinetics, 0% grade. Resting VO2 was comparable between all groups before exercise (Table 3). The overall VO2 kinetic responses of the unilateral and bilateral PAD groups at 0% grade were monoexponential (phase 2) and demonstrated a slowed kinetic response compared with the nonsmoking and smoking control groups (Table 3; P < 0.05). The change in VO2 from rest to steady state (A1) was also similar between groups. There were no differences between the kinetic responses of the nonsmoking and the smoking control groups, all of which were monoexponential.

                              
View this table:
[in this window]
[in a new window]
 
Table 3.   VO2 kinetics, 0% grade exercise

VO2 kinetics, 4% grade. There were no differences in resting VO2 between groups before exercise at 4% grade. Phase 1 kinetic parameters (tau 0, A0) were not different between groups (Table 4). The time delay (TD1) until the beginning of phase 2 was comparable between all groups. The phase 2 time constant (tau 1) was similar between the unilateral and bilateral PAD groups (see individual data points in Fig. 2), but a significant slowing of the phase 2 time constant was observed in the unilateral and bilateral PAD patients compared with nonsmoking and smoking control subjects (P < 0.05 for PAD groups vs. combined control groups). The amplitude of phase 2 (A1) was not different between the PAD and control groups. Kinetic parameters did not differ between nonsmoking and smoking control groups. Under the exercise protocols that were used, steady-state exercise conditions were confirmed by a plateau of the VO2 response and the absence of a phase 3 exponential component of the curve fit for any subject in any group.

                              
View this table:
[in this window]
[in a new window]
 
Table 4.   VO2 kinetics, 4% grade exercise



View larger version (13K):
[in this window]
[in a new window]
 
Fig. 2.   Individual phase 2 time constant data from 2.0 miles/h, 4% grade treadmill exercise for all groups. Tau, phase 2 time constant from multiple exponential (in s); NS, nonsmoking control; Smoking, smoking control; Uni, unilateral PAD patients; Bi, bilateral PAD patients.

Sigma VO2 measures. Sigma VO2 measures at 4% grade were lower in all patients with PAD compared with the combined control groups from rest to 60, 90, and 120 s (P < 0.05 for PAD group vs. combined control group; Table 5). Measures from exercise onset to 180 and 300 s did not differ between the PAD patient population and the combined control subjects.

                              
View this table:
[in this window]
[in a new window]
 
Table 5.   Sigma VO2 at 4% grade exercise

HR responses. Before exercise at 0% grade, resting HRs were comparable between the smoking controls and the unilateral and bilateral PAD patients (Table 6), but resting HRs of nonsmoking controls were lower compared with the other three groups (P < 0.05). HR kinetic analyses for 0 and 4% grades were attempted by using monoexponential curve-fitting techniques. However, the exercise-response curves for HR were neither exponential nor linear and could not be fit reliably by using these methods. Therefore, time constants or mean response times may not have appropriately described the HR response. The mean steady-state HR achieved at the end of the 0% grade exercise was lower in the nonsmoking control group than in the smoking control and in the unilateral and bilateral PAD groups (P < 0.05). The change in HR from resting to steady-state exercise (Delta HR) was greater in the unilateral and bilateral PAD groups compared with nonsmoking or smoking controls (PAD groups vs. control groups, P < 0.05).

                              
View this table:
[in this window]
[in a new window]
 
Table 6.   Heart rate responses

Before exercise at 4% grade, resting HR was elevated in the unilateral PAD group compared with the nonsmoking and smoking controls and the bilateral PAD patients (P < 0.05). Steady-state HR at the end of exercise was greater in the unilateral PAD group compared with the nonsmoking and smoking control and the bilateral PAD groups (P < 0.05). The change in HR at 4% grade was greater in the unilateral and bilateral PAD groups than in the nonsmoking and smoking control groups (P < 0.05).

Determinants of tau . To determine whether PAD disease severity was related to the kinetic response of VO2 during exercise, we evaluated whether resting ABI in the worse affected leg of each PAD patient was correlated to phase 2 time constants at 4% grade. No significant correlation was found (r = -0.025, Fig. 3). Additionally, phase 2 time constants at 4% grade were not correlated with VO2 peak in patients with PAD (r = 0.257). No correlations of phase 2 time constants and VO2 peak within the combined control groups were observed (r = -0.11). Between-group correlations were not assessed because of the distinct difference in populations under investigation (diseased vs. nondiseased) and the possibility of autocorrelation.


View larger version (16K):
[in this window]
[in a new window]
 
Fig. 3.   Ankle-brachial index (ABI) vs. tau correlation in all unilateral and bilateral PAD patients. , unilateral PAD patients; , bilateral PAD patients.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The present study demonstrates that during constant-load treadmill exercise, the kinetics of VO2 at the onset of exercise were markedly slowed in patients with PAD compared with control subjects. The impaired VO2 kinetic responses in PAD patients appeared to be related to the presence of vascular disease but not to the hemodynamic severity, because the prolongation in the VO2 time constant was not associated with the degree of reduction in ABI or whether one or both legs were affected. Furthermore, the VO2 kinetic impairment in PAD could not be explained by phase 1 kinetic differences, reduced HR responses, or current smoking status. This suggests that neither central cardiac factors nor smoking status could account for the marked slowing of the phase 2 time constant observed in patients with PAD.

Typically, to eliminate weight-bearing influences and allow accurate measures of work rate, cycle exercise has been used to determine VO2 kinetics. Although less optimal than cycle exercise, treadmill exercise was used in the present study to assess the VO2 kinetics, because walking is the activity that produces the claudication pain observed in patients with PAD. Differences in body weight between groups were not significant and, therefore, were not expected to confound VO2 kinetic responses. In the present study, neither the total change in VO2 from resting to steady state at 0% grade (A1) and 4% grade (A0 + A1) nor the absolute steady-state VO2 achieved was different between groups. Therefore, the actual work rate and walking efficiency appeared to be similar between groups. The exponential curve fitting was influenced neither by differences in steady-state VO2 between PAD and control groups nor by the presence of a slow component of VO2 (phase 3). Furthermore, phase 2 VO2 kinetics have been shown to be workload independent during cycling exercise at workloads below the lactate threshold (6). An exponential phase 3 VO2 kinetic response (slow component) was not observed in any subject during either 0 or 4% grade exercise testing. The absence of a slow component was due to the low level of walking exercise (sub-VAT) and was corroborated by RER values well below 1.00. Although no direct measures of blood lactate concentration were made, previous studies have reported only small increases in systemic lactate levels, even at peak claudication-limited exercise in PAD patients (18, 20). These observations support the finding in the present study that lactate accumulation and the presence of a phase 3 component of VO2 are not likely a significant contributor to the slowed kinetics.

Kinetic responses. Phase 1 VO2 kinetics at 4% grade (representing the cardiac component of VO2 kinetics) were not different, as assessed by either the time constant (tau 0) or change in VO2 (A0) between the PAD and control groups. However, a significantly greater dynamic HR response from rest to steady state (Delta HR) was apparent in the PAD groups compared with the control groups. This could reflect greater cardiac sympathetic stimulation in PAD patients compared with controls. Importantly, a defect in the central cardiac component of the VO2 kinetic response is possible, although the present data suggest that this may be unlikely.

The time delays of VO2 (TD1) observed in the present study are longer compared with values observed during measurements made during cycling exercise (6, 7, 31, 36). Multiexponential modeling with time delays of human VO2 kinetics has not been previously described during low-level walking exercise. Potentially, the mode of exercise (treadmill walking vs. cycling), exercise intensity, or physiological changes associated with aging (such as alterations in vascular conductance) may elicit an exercise VO2 response profile that is different from that observed for cycle exercise.

Phase 2 VO2 kinetic time constants were notably slowed in patients with PAD during treadmill walking at 4% grade. These observations are consistent with the findings of a reduced VO2-work rate relationship during incremental cycle exercise in patients with PAD compared with normal controls (16). The VO2 kinetic data, from curve-fitting procedures, also confirm observations by Auchincloss et al. (2, 3) of a reduced 1-min VO2 in PAD patients compared with controls. Auchincloss et al. concluded that the reduction appeared to be the result of a primary impairment in peripheral flow, because improvement of flow through surgical bypass interventions improved 1-min VO2 to nearly normal values. However, if limited total peripheral blood flow is solely responsible for the slowed VO2 response in PAD, a relationship would be expected between the VO2 kinetic response and worsening degrees of disease severity (as conventionally measured by ABI) as well as a difference between patients with unilateral vs. bilateral disease. The data in the present study revealed no differences in time constants (tau ) between the unilateral and bilateral PAD groups, despite substantially different quantitative amounts of total lower extremity flow limitation. Furthermore, there was no correlation between worst affected leg ABI and tau in unilateral and bilateral PAD patients. This implies that hemodynamic disease severity (ABI) could not predict the degree of VO2 kinetic impairment.

Limited peripheral blood flow may only partially account for the slowing of the time constant during phase 2. A second contributor to phase 2 VO2 kinetics is the responses intrinsic to the exercising muscle. The transition from rest to a fixed workload requires an enhanced production of ATP to meet an elevated ATP requirement. Immediately after the onset of exercise, this energy demand is met by preformed ATP, and the rapid conversion of creatine phosphate (CrP) to ATP. Neither of these energy sources requires the catabolism of substrates or the consumption of O2. However, the stores of these high-energy phosphates can only support exercise for brief periods. As ATP and CrP are consumed, the free ADP concentration in muscle increases. Although the regulation of mitochondrial respiration in muscle is complex, the ADP concentration is a potential major control point for stimulating VO2. Thus mitochondrial respiration can be described as a function of ADP concentration in vivo (23, 37). As ADP accumulates with the onset of exercise, mitochondrial O2 consumption (and hence ATP production) increases until the ADP level sustains an ATP production that matches the ATP demands of the imposed workload. The time constant for the accumulation of ADP in muscle can be equated with the respiratory VO2 kinetics (5). Therefore, anything that alters the ADP vs. mitochondrial respiration relationship will alter the kinetics of VO2. This concept has been observed by the improvement of VO2 kinetics in older and younger subjects after training and has been validated in patients with mitochondrial myopathies by using 31P- nuclear magnetic resonance spectroscopy (4, 23, 31).

Although peripheral blood flow at rest is normal in PAD patients, there is considerable evidence that skeletal muscle metabolic regulation is altered, secondary to the sequellae of muscle ischemia with exercise (9). For example, skeletal muscle in patients with PAD has a 19-36% increase in expression of mitochondrial enzymes, accumulation of oxidative intermediates, and evidence of acquired mitochondrial DNA injury (8a, 11, 12, 18, 21, 23, 32). These metabolic changes appear to be relevant, because they correlate with patients' functional performance, in contrast to lack of correlation of hemodynamic measurements (1, 20, 29). Importantly, the ADP vs. mitochondrial respiration relationship is altered in PAD, and more ADP is required than is needed by control subjects to sustain a given level of mitochondrial function. The present demonstration of slowed respiratory VO2 kinetics in patients with PAD is in complete concordance with the 31P-nuclear magnetic resonance spectroscopy of Kemp et al. (22). These data suggest that altered muscle mitochondrial function may contribute to the delayed VO2 kinetic response, although a detraining effect may present an alternate contributor to the slowed kinetic response in PAD patients. Taken together, these data support the hypothesis that PAD is associated with an alteration in the ADP vs. mitochondrial respiration relationship that potentially results from an acquired mitochondrial myopathy and that strategies to improve metabolic function may be an important therapeutic target (9).

Sigma VO2. Sigma VO2 was used to evaluate 4% grade VO2 kinetics in a manner independent of curve-fit modeling techniques. This measure of VO2 kinetics revealed differences between the PAD groups and the combined control groups from exercise onset to 60, 90, and 120 s but not from onset to 180 and 300 s. The loss of discrimination of Sigma VO2 at 180- and 300-s time intervals suggests that the kinetic response is not well described by time intervals beyond 120 s of exercise. Importantly, Sigma VO2 can differentiate between diseased and nondiseased patients over the early portions of an exercise transition and can confirm curve-fit analyses of the slowed VO2 kinetic response in PAD.

Effects of smoking. Because most PAD patients are present or former cigarette smokers, a control group of healthy smoking subjects was included to address the impact of smoking status and pack · yr on the time constant of VO2 kinetics. Smoking status and pack · yr history may have influenced the time constant of VO2 kinetics, either through an acute impairment in O2- carrying capacity by formation of carboxyhemoglobin or through systemic changes in O2 utilization caused by chronic cigarette use (25, 33). However, in smoking control subjects, pack · yr and smoking status were not associated with slowing of the VO2 time constants compared with nonsmoking controls. Therefore, the impairment in VO2 kinetics observed in PAD patients was not a direct function of smoking status or pack · yr history.

Summary. The present data demonstrate that the VO2 kinetic responses to low-level, constant-load treadmill exercise are slowed in patients with PAD. Further research will be necessary to definitively assess whether peripheral flow limitations or changes in the regulation of skeletal muscle oxidative function, or both, are responsible for the observed response in patients with PAD.


    ACKNOWLEDGEMENTS

We thank the patients who gave of their time. We also acknowledge Andria Vogelsong, Susan Smith, and Amy Thomas for their assistance with the study and Jan Ingebritsen for development of the kinetic analysis software.


    FOOTNOTES

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.

Address for reprint requests and other correspondence: W. R. Hiatt, Section of Vascular Medicine, Univ. of Colorado Health Sciences Center, Box B-179, 4200 E. Ninth Ave., Denver, CO 80262 (E-mail: Will.Hiatt{at}UCHSC.edu).

Received 3 September 1998; accepted in final form 31 March 1999.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1.   Arfvidsson, B., A. Wennmalm, J. Gelin, A. G. Dahllof, B. Hallgren, and K. Lundholm. Co-variation between walking ability and circulatory alterations in patients with intermittent claudication. Eur. J. Vasc. Surg. 6: 642-646, 1992[Medline].

2.   Auchincloss, J. H., K. Ashutosh, S. Rana, D. Peppi, L. W. Johnson, and R. Gilbert. Effect of cardiac, pulmonary, and vascular disease on one-minute oxygen uptake. Chest 70: 486-493, 1976[Abstract/Free Full Text].

3.   Auchincloss, J. H. J., J. W. Meade, R. Gilbert, and B. E. Chamberlain. One minute oxygen uptake in peripheral ischemic vascular disease. Ann. Surg. 191: 203-206, 1980[Medline].

4.   Babcock, M. A., D. H. Paterson, and D. A. Cunningham. Effects of aerobic endurance training on gas exchange kinetics of older men. Med. Sci. Sports Exerc. 26: 447-452, 1994[Medline].

5.   Barstow, T. J., S. Buchthal, S. Zanconato, and D. M. Cooper. Muscle energetics and pulmonary oxygen uptake kinetics during moderate exercise. J. Appl. Physiol. 77: 1742-1749, 1994[Abstract/Free Full Text].

6.   Barstow, T. J., and P. A. Molé. Linear and nonlinear characteristics of oxygen uptake kinetics during heavy exercise. J. Appl. Physiol. 71: 2099-2106, 1991[Abstract/Free Full Text].

7.   Barstow, T. J., and P. A. Molé. Simulation of pulmonary O2 uptake during exercise transients in humans. J. Appl. Physiol. 63: 2253-2261, 1987[Abstract/Free Full Text].

8.   Belardinelli, R., Y. Y. Zhang, K. Wasserman, A. Purcaro, and P. G. Agostoni. A four-minute submaximal constant work rate exercise test to assess cardiovascular functional class in chronic heart failure. Am. J. Cardiol. 81: 1210-1214, 1998[Medline].

8a.   Bhat, H. K., W. R. Hiatt, C. L. Hoppel, and E. P. Brass. Skeletal muscle mitochondrial DNA injury in patients with unilateral peripheral arterial disease. Circulation 99: 807-812, 1999[Abstract/Free Full Text].

9.   Brass, E. P. Skeletal muscle metabolism as a target for drug therapy in peripheral arterial disease. Vasc. Med. 1: 55-59, 1996[Medline].

10.   Bruce, R. A., F. Kusumi, and D. Hosmer. Maximal oxygen intake and nomographic assessment of functional aerobic impairment in cardiovascular disease. Am. Heart J. 85: 546-562, 1973[Medline].

11.   Bylund-Fellenius, A. C., P. M. Walker, A. Elander, and T. Schersten. Peripheral vascular disease. Am. Rev. Respir. Dis. 129: S65-S67, 1984[Medline].

12.   Carlson, L. A., and B. Pernow. Studies on the peripheral circulation and metabolism in man. II. Oxygen utilization and lactate-pyruvate formation in the legs at rest and during exercise in patients with arteriosclerosis obliterans. Acta Med. Scand. 171: 311-323, 1962[Medline].

13.   Drexler, H., U. Riede, T. Munzel, H. Konig, E. Funke, and H. Just. Alterations of skeletal muscle in chronic heart failure. Circulation 85: 1751-1759, 1992[Abstract/Free Full Text].

14.   Gardner, A. W., J. S. Skinner, N. R. Vaughan, C. X. Bryant, and L. K. Smith. Comparison of three progressive exercise protocols in peripheral vascular occlusive disease. Angiology 43: 661-671, 1992.

15.   Grassi, B., D. C. Poole, R. S. Richardson, D. R. Knight, B. K. Erickson, and P. D. Wagner. Muscle O2 uptake in humans: implications for metabolic control. J. Appl. Physiol. 80: 988-998, 1996[Abstract/Free Full Text].

16.   Hansen, J. E., D. Y. Sue, A. Oren, and K. Wasserman. Relation of oxygen uptake to work rate in normal men and men with circulatory disorders. Am. J. Cardiol. 59: 669-674, 1987[Medline].

17.   Hiatt, W. R., D. Nawaz, and E. P. Brass. Carnitine metabolism during exercise in patients with peripheral vascular disease. J. Appl. Physiol. 62: 2383-2387, 1987[Abstract/Free Full Text].

18.   Hiatt, W. R., J. G. Regensteiner, E. E. Wolfel, M. R. Carry, and E. P. Brass. Effect of exercise training on skeletal muscle histology and metabolism in peripheral arterial disease. J. Appl. Physiol. 81: 780-788, 1996[Abstract/Free Full Text].

19.   Hiatt, W. R., E. E. Wolfel, R. H. Meier, and J. G. Regensteiner. Superiority of treadmill walking exercise vs. strength training for patients with peripheral arterial disease. Implications for the mechanism of the training response. Circulation 90: 1866-1874, 1994[Abstract/Free Full Text].

20.   Hiatt, W. R., E. E. Wolfel, J. G. Regensteiner, and E. P. Brass. Skeletal muscle carnitine metabolism in patients with unilateral peripheral arterial disease. J. Appl. Physiol. 73: 346-353, 1992[Abstract/Free Full Text].

21.   Jansson, E., J. Johansson, C. Sylven, and L. Kaijser. Calf muscle adaptation in intermittent claudication. Side-differences in muscle metabolic characteristics in patients with unilateral arterial disease. Clin. Physiol. 8: 17-29, 1988[Medline].

22.   Kemp, G. J., L. J. Hands, G. Ramaswami, D. J. Taylor, A. Nicolaides, A. Amato, and G. K. Radda. Calf muscle mitochondrial and glycogenolytic ATP synthesis in patients with claudication due to peripheral vascular disease analysed using 31P magnetic resonance spectroscopy. Clin. Sci.(Colch.) 89: 581-590, 1995.

23.   Kemp, G. J., D. J. Taylor, C. H. Thompson, L. J. Hands, B. Rajagopalan, P. Styles, and G. K. Radda. Quantitative analysis by 31P magnetic resonance spectroscopy of abnormal mitochondrial oxidation in skeletal muscle during recovery from exercise. NMR Biomed. 6: 302-310, 1993[Medline].

24.   Koike, A., M. Hiroe, H. Adachi, T. Yajima, Y. Yamauchi, A. Nogami, H. Ito, Y. Miyahara, M. Korenaga, and F. Marumo. Oxygen uptake kinetics are determined by cardiac function at onset of exercise rather than peak exercise in patients with prior myocardial infarction. Circulation 90: 2324-2332, 1994[Abstract/Free Full Text].

25.   Koike, A., K. Wasserman, D. K. McKenzie, S. Zanconato, and D. Weiler-Ravell. Evidence that diffusion limitation determines oxygen uptake kinetics during exercise in humans. J. Clin. Invest. 86: 1698-1706, 1990.

26.   Koike, A., T. Yajima, H. Adachi, N. Shimizu, H. Kano, K. Sugimoto, A. Niwa, F. Marumo, and M. Hiroe. Evaluation of exercise capacity using submaximal exercise at a constant work rate in patients with cardiovascular disease. Circulation 91: 1719-1724, 1995[Abstract/Free Full Text].

28.   Lundgren, F., K. Bennegard, A. Elander, K. Lundholm, T. Schersten, and A. C. Bylund-Fellenius. Substrate exchange in human limb muscle during exercise at reduced blood flow. Am. J. Physiol. 255 (Heart Circ. Physiol. 24): H1156-H1164, 1988[Abstract/Free Full Text].

29.   Pernow, B., and S. Zetterquist. Metabolic evaluation of the leg blood flow in claudicating patients with arterial obstructions at different levels. Scand. J. Clin. Lab. Invest. 21: 277-287, 1968[Medline].

30.   Petersen, E. S., B. J. Whipp, J. A. Davis, D. J. Huntsman, H. V. Brown, and K. Wasserman. Effects of beta-adrenergic blockade on ventilation and gas exchange during exercise in humans. J. Appl. Physiol. 54: 1306-1313, 1983[Abstract/Free Full Text].

31.   Phillips, S. M., H. J. Green, M. J. MacDonald, and R. L. Hughson. Progressive effect of endurance training on O2 kinetics at the onset of submaximal exercise. J. Appl. Physiol. 79: 1914-1920, 1995[Abstract/Free Full Text].

32.   Regensteiner, J. G., E. E. Wolfel, E. P. Brass, M. R. Carry, S. P. Ringel, M. E. Hargarten, E. R. Stamm, and W. R. Hiatt. Chronic changes in skeletal muscle histology and function in peripheral arterial disease. Circulation 87: 413-421, 1993[Abstract/Free Full Text].

33.   Rotstein, A., M. Sagiv, A. Yaniv-Tamir, N. Fisher, and R. Dotan. Smoking effect on exercise response kinetics of oxygen uptake and related variables. Int. J. Sports Med. 12: 281-284, 1991[Medline].

34.   Sietsema, K. E., I. Ben-Dov, Y. Y. Zhang, C. Sullivan, and K. Wasserman. Dynamics of oxygen uptake for submaximal exercise and recovery in patients with chronic heart failure. Chest 105: 1693-1700, 1994[Abstract/Free Full Text].

35.   Sietsema, K. E., D. M. Cooper, J. K. Perloff, M. H. Rosove, J. S. Child, M. M. Canobbio, B. J. Whipp, and K. Wasserman. Dynamics of oxygen uptake during exercise in adults with cyanotic congenital heart disease. Circulation 73: 1137-1144, 1986[Abstract/Free Full Text].

36.   Whipp, B. J., S. A. Ward, N. Lamarra, J. A. Davis, and K. Wasserman. Parameters of ventilatory and gas exchange dynamics during exercise. J. Appl. Physiol. 52: 1506-1513, 1982[Abstract/Free Full Text].

37.   Zatina, M. A., H. D. Berkowitz, G. M. Gross, J. M. Maris, and B. Chance. 31P nuclear magnetic resonance spectroscopy: noninvasive biochemical analysis of the ischemic extremity. J. Vasc. Surg. 3: 411-420, 1986[Medline].

38.   Zhang, Y. Y., K. Wasserman, K. E. Sietsema, I. Ben-Dov, T. J. Barstow, G. Mizumoto, and C. S. Sullivan. O2 uptake kinetics in response to exercise. A measure of tissue anaerobiosis in heart failure. Chest 103: 735-741, 1993[Abstract/Free Full Text].


J APPL PHYSIOL 87(2):809-816
8570-7587/99 $5.00 Copyright © 1999 the American Physiological Society



This article has been cited by other articles:


Home page
VASC ENDOVASCULAR SURGHome page
I. I. Pipinos, A. R. Judge, J. T. Selsby, Zhen Zhu, S. A. Swanson, A. A. Nella, and S. L. Dodd
The Myopathy of Peripheral Arterial Occlusive Disease: Part 1. Functional and Histomorphological Changes and Evidence for Mitochondrial Dysfunction
Vascular and Endovascular Surgery, January 1, 2008; 41(6): 481 - 489.
[Abstract] [PDF]


Home page
Diabetes CareHome page
T. A. Bauer, J. E.B. Reusch, M. Levi, and J. G. Regensteiner
Skeletal Muscle Deoxygenation After the Onset of Moderate Exercise Suggests Slowed Microvascular Blood Flow Kinetics in Type 2 Diabetes
Diabetes Care, November 1, 2007; 30(11): 2880 - 2885.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
B. Fletcher, K. Berra, P. Ades, L. T. Braun, L. E. Burke, J. L. Durstine, J. M. Fair, G. F. Fletcher, D. Goff, L. L. Hayman, et al.
Managing Abnormal Blood Lipids: A Collaborative Approach
Circulation, November 15, 2005; 112(20): 3184 - 3209.
[Abstract] [Full Text] [PDF]


Home page
Vasc MedHome page
E. P Brass, W. R Hiatt, and S. Green
Skeletal muscle metabolic changes in peripheral arterial disease contribute to exercise intolerance: a point-counterpoint discussion
Vascular Medicine, November 1, 2004; 9(4): 293 - 301.
[Abstract] [PDF]


Home page
J. Appl. Physiol.Home page
T. A. Bauer, E. P. Brass, M. Nehler, T. J. Barstow, and W. R. Hiatt
Pulmonary VO2 dynamics during treadmill and arm exercise in peripheral arterial disease
J Appl Physiol, August 1, 2004; 97(2): 627 - 634.
[Abstract] [Full Text] [PDF]


Home page
ChestHome page
M. H. Malek, E. W. Fonkalsrud, and C. B. Cooper
Ventilatory and Cardiovascular Responses to Exercise in Patients With Pectus Excavatum
Chest, September 1, 2003; 124(3): 870 - 882.
[Abstract] [Full Text] [PDF]


Home page
Integr. Comp. Biol.Home page
P. Cerretelli and B. Grassi
Gas Exchange, MRS and NIRS Assessment of Metabolic Transients in Skeletal Muscle
Integr. Comp. Biol., April 1, 2001; 41(2): 229 - 246.
[Abstract] [Full T