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J Appl Physiol 89: 721-730, 2000;
8750-7587/00 $5.00
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Vol. 89, Issue 2, 721-730, August 2000

Pulmonary gas exchange during exercise in women: effects of exercise type and work increment

Susan R. Hopkins1, Rebecca C. Barker1, Tom D. Brutsaert1, Timothy P. Gavin1, Pauline Entin1, Ivan M. Olfert2, Susan Veisel1, and Peter D. Wagner1

1 Division of Physiology, Department of Medicine, University of California, San Diego, La Jolla 92093; and 2 Department of Physiology and Pharmacology, Loma Linda University, Loma Linda, California 92350


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Exercise-induced arterial hypoxemia (EIAH) has been reported in male athletes, particularly during fast-increment treadmill exercise protocols. Recent reports suggest a higher incidence in women. We hypothesized that 1-min incremental (fast) running (R) protocols would result in a lower arterial PO2 (PaO2) than 5-min increment protocols (slow) or cycling exercise (C) and that women would experience greater EIAH than previously reported for men. Arterial blood gases, cardiac output, and metabolic data were obtained in 17 active women [mean maximal O2 uptake (VO2 max) = 51 ml · kg-1 · min-1]. They were studied in random order (C or R), with a fast VO2 max protocol. After recovery, the women performed 5 min of exercise at 30, 60, and 90% of VO2 max (slow). One week later, the other exercise mode (R or C) was similarly studied. There were no significant differences in VO2 max between R and C. Pulmonary gas exchange was similar at rest, 30%, and 60% of VO2 max. At 90% of VO2 max, PaO2 was lower during R (mean ± SE = 94 ± 2 Torr) than during C (105 ± 2 Torr, P < 0.0001), as was ventilation (85.2 ± 3.8 vs. 98.2 ± 4.4 l/min BTPS, P < 0.0001) and cardiac output (19.1 ± 0.6 vs. 21.1 ± 1.0 l/min, P < 0.001). Arterial PCO2 (32.0 ± 0.5 vs. 30.0 ± 0.6 Torr, P < 0.001) and alveolar-arterial O2 difference (A-aDO2; 22 ± 2 vs. 16 ± 2 Torr, P < 0.0001) were greater during R. PaO2 and A-aDO2 were similar between slow and fast. Nadir PaO2 was <= 80 Torr in four women (24%) but only during fast-R. In all subjects, PaO2 at VO2 max was greater than the lower 95% prediction limit calculated from available data in men (n = 72 C and 38 R) for both R and C. These data suggest intrinsic differences in gas exchange between R and C, due to differences in ventilation and also efficiency of gas exchange. The PaO2 responses to R and C exercise in our 17 subjects do not differ significantly from those previously observed in men.

arterial blood gases; normal subjects; maximal exercise; acetylene uptake


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

A REDUCTION IN THE EFFICIENCY of pulmonary gas exchange during exercise has been reported many times in the literature (6, 11, 17, 23) and is manifest by an increase in the alveolar-arterial difference of oxygen (A-aDO2) and limited alveolar hyperventilation. Particularly in male athletes capable of high aerobic work, the magnitude of the impairment has been sufficient to cause a reduction in arterial PO2 (PaO2) and hemoglobin O2 saturation (SaO2) (6, 23, 26). This phenomenon, termed exercise-induced arterial hypoxemia (EIAH), defined by some authors as a fall in PaO2 of >10 Torr from resting values (13), offers a potentially significant impairment to aerobic athletic performance (10, 24). Ventilation-perfusion inequality, alveolar-end capillary diffusion limitation, and inadequate hyperventilation have all been proposed as mechanisms for EIAH (15, 26), which affects as many as 50% of the highly aerobic male athletes (23). Typically, the exercise protocol used in studies of EIAH has used treadmill running exercise with rapid workload increments of 1- or 2-min duration.

Women have significantly smaller lung volumes and a lower resting diffusing capacity for CO than men, even when corrected for body size and lower hemoglobin levels (21, 28, 29). A recent study reports a high incidence of EIAH in active women during treadmill exercise with 2.5-min workload increments (13). Of the 29 subjects studied, 22 (76%) experienced EIAH as previously defined.

Studies investigating pulmonary gas exchange during exercise and using the multiple inert-gas technique, which allows the contribution of ventilation-perfusion inequality and pulmonary diffusion limitation to the A-aDO2, usually use cycling exercise. This is because of the number and location of catheters for infusion of the inert gases and the collection of arterial and pulmonary mixed venous blood. Five-minute work rate increments are also standard in inert-gas studies because they allow development of steady-state gas-exchange conditions necessary for inert gas measurements. A review of data obtained from men undergoing multiple inert gas elimination studies in our laboratory (8, 18, 22, 32) indicates that, under these exercise conditions, very few subjects experience EIAH, even when data from the subjects with the highest maximal O2 uptake (VO2 max) are considered.

Because of these observations, we hypothesized that PaO2 would be lower during running than during cycling exercise, particularly during rapid incremental protocols. In addition, because of the pulmonary differences previously described, we hypothesized that PaO2 at a given VO2 max would be less in women than previously reported in men.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

This study was approved by the Human Subjects Committee of the University of California, San Diego. Seventeen female subjects (VO2 max = 42-61 ml · kg-1 · min-1) were recruited by advertisement and, after written informed consent was given, agreed to further study. All were healthy nonsmokers who exercised regularly and had a negative medical history. The subjects came from a variety of athletic backgrounds. Five of the subjects were runners (3 were competing at half-marathon distance), five were triathletes (1 professional and 4 competitive age group triathletes), three were collegiate soccer players, three were cyclists (including 1 former world championship medalist), and one was a collegiate swimmer.

Preliminary Screening

A screening history and physical examination were performed; subjects were screened for pulmonary [spirometry, lung CO diffusing capacity (DLCO)] and hematological (hemoglobin, hematocrit) abnormalities. Subjects taking prescription medications, with the exception of oral contraceptives, were excluded. All subjects were screened for pregnancy the day before the start of the study. The following morning, the subjects returned to the laboratory for either the cycle or running test. The order of the two tests was randomized.

Subject Preparation

Under continuous electrocardiogram (Lifepak 6, Physio-Control, Redmond, WA) monitoring, a 20-gauge arterial cannula was placed in the radial artery of the nondominant hand, using sterile techniques. A sterile, rapid response (<0.1 s) thermistor (18T, Physitemp Instruments, Clifton, NJ) was placed through the injection hub into the lumen of a small-volume (0.6 ml) extension set with "T" (Abbott Hospitals, North Chicago, IL), which was flushed with saline and connected to the arterial cannula. The thermistor was thus exposed to arterial blood in the cannula when blood was sampled. The peak deflection of the temperature was used as arterial blood temperature (16). Blood was obtained for serum progesterone concentration, which was measured using radioimmunoassay (Diagnostic Products, Los Angeles, CA).

Data Collection Protocol

The study took place in two parts. In the first part (fast-increment protocol), the pulmonary gas-exchange responses to either cycling or running exercise were characterized using a standard test of VO2 max with an increase in workload every minute. Each set of measurements (described below) consisted of metabolic measurements and a single arterial blood-gas sample obtained during the last 20 s of each workload. Cardiac output was obtained using a quasi-steady-state acetylene uptake method (1) on alternate workloads, to allow for clearance of recirculating acetylene. Each subject was seated on a bike or on a chair on the treadmill and breathed through a mouthpiece for 10 min before the start of the resting measurements. After resting measurements were obtained, the fast-increment exercise protocol was started and the subjects exercised to exhaustion. This test was used to calculate workloads that represented ~30, 60%, and 90% of the subject's VO2 max.

Subjects were then allowed to recover for at least 30 min, after which the slow-increment protocol was started. This protocol consisted of 5-min increments at workloads producing ~30, 60%, and 90% of VO2 max. Data were collected after 10 min of breathing through the mouthpiece at rest and during the last 2 min at each exercise level. Each set of measurements (described below) consisted of duplicate arterial blood gases and single metabolic and cardiac output measurements. The results of the duplicate samples were averaged (r = 0.91). The following week, the subjects returned and the study was repeated using the other exercise mode. The order of the exercise tests was randomized.

Exercise Tests

Cycle ergometer. VO2 max was determined on an electronically braked cycle ergometer (Excaliber, Quinton Instruments, Gronigen, Netherlands). After a 5-min warmup at 50 W, the subjects rode a progressive exercise test (25 W/min) until they were unable to continue. Heart rate was monitored by a cardiac monitor (Lifepak 6, Physio-Control). The subjects breathed through a non-rebreathing valve (2700, Hans-Rudolph, Kansas City, MO). Expired gas was sampled continuously from a heated mixing chamber, and O2 and CO2 concentrations were measured (mass spectrometer 1100, Perkin-Elmer, Ponoma, CA). Expired gas flow was measured using a pneumotach (no. 3, Fleisch) and differential pressure transducer (DP45-14, Validyne, Northridge, CA), and the electrical signals from the mass spectrometer and the pneumotach were logged at 100 Hz using a 12-bit analog-to-digital converter. Minute ventilation (VE), O2 consumption (VO2), and CO2 production (VCO2) were calculated using a commercially available software package (Consentius Technologies, Salt Lake City, UT). VO2 max was calculated as the average of the four highest consecutive 15-s measurements of O2 uptake. All subjects fulfilled at least two of the following four criteria for VO2 max: 1) heart rate >=  the age-predicted maximum, 2) respiratory exchange ratio >1.10, 3) no further increase or a decrease in VO2 with increasing workload, and 4) no further increase in heart rate despite an increase in workload.

Treadmill running. For resting measurements, subjects were seated on a chair on the treadmill while breathing through the respiratory circuit as described above. After resting measurements were made, subjects were allowed to walk for 5 min at 2.5 miles/h (mph) and 0% grade, and data were collected in the last minute of this workload. Subjects then warmed up for 5 min at a treadmill speed of 4.5-5.0 mph and 0% grade, and data were collected in the last minute of this workload. Next, the treadmill speed was increased to a comfortable running speed (determined during a prior visit), which ranged from 5.0 to 7.0 mph. After 1 min at this speed and 0% grade, the treadmill grade was increased 2% every minute until volitional fatigue. For the cycling tests, subjects were allowed to recover for at least 30 min and then measurements were made at rest and in the last minute of 5 min at 30, 60, and 90% of the previously determined VO2 max.

Cardiac Output Measurements

Cardiac output was measured on alternate workloads during the fast incremental protocols and every workload during the slow incremental protocols using an open-circuit acetylene (C2H2) uptake technique (1, 3). The details of this method have been previously reported and show excellent agreement with direct Fick methods for measurement of cardiac output (1). Briefly, at each workload for which cardiac output was measured, subjects were given a gas mixture containing C2H2 (0.5%), helium (1%), O2 (20.9%), and balanced nitrogen to breathe in an open circuit until the helium showed complete mixing plus 12 breaths. Ventilation, end-tidal PCO2, C2H2 partial pressure, and helium partial pressure were measured using a second Perkin-Elmer mass spectrometer. The difference between inspired C2H2 and end-tidal C2H2 (corrected for mixing with the ratio of inspired helium to end-tidal helium) was calculated for each breath. This difference was then extrapolated back to breath 1 to account for C2H2 recirculation. The blood-gas partition coefficient for C2H2 in blood for each subject was measured directly in a standard manner (31). Cardiac output (QT; l/min) was calculated according to the following equation
<A><AC>Q</AC><AC>˙</AC></A><SC>t</SC><IT>=</IT><FENCE><FR><NU><A><AC>V</AC><AC>˙</AC></A><SC>e</SC><IT>·</IT>P<SC>e</SC><SUB>CO<SUB>2</SUB></SUB><IT>·</IT>(P<SC>i</SC><SUB>C<SUB>2</SUB>H<SUB>2</SUB></SUB><IT>−</IT>P<SC>a</SC><SUB>C<SUB>2</SUB>H<SUB>2</SUB></SUB>)</NU><DE><IT>&lgr;·</IT>P<SC>a</SC><SUB>CO<SUB>2</SUB></SUB><IT>·</IT>P<SC>a</SC><SUB>C<SUB>2</SUB>H<SUB>2</SUB></SUB></DE></FR></FENCE>
where VE is the expired ventilation rate (l/min BTPS), PECO2 is mixed expired PCO2, PACO2 is end-tidal PCO2, PIC2H2 is inspired C2H2 partial pressure, PAC2H2 is end-tidal C2H2 partial pressure at breath 1 of the procedure, and lambda  = C2H2 blood:gas partition coefficient (BTPS). Cardiac output for intermediate workloads during the fast incremental protocols was estimated from the regression of cardiac output and VO2 for each individual subject's data and each exercise mode (all R > 0.9).

Blood-Gas Measurements

Arterial samples (2 ml) were collected and maintained on ice until analyzed for PO2, PCO2, and pH, using an IL1306 (Instrumentation Laboratories, Lexington, MA) blood-gas analyzer. Hemoglobin and O2 saturation for each sample was measured with an IL482 cooximeter (Instrumentation Laboratories), and hematocrit was determined. The blood gases were measured at 37°C and corrected to measured arterial blood temperature.

Statistical Analyses

We made the following statistical comparisons. To compare the effects of exercise mode and work rate, the data corresponding to rest and ~30, 60, and 90% of VO2 max from the fast increment protocols were selected and compared with the measured values from the slow-increment protocols. Thus, at the same relative (and absolute; see RESULTS) VO2, we compared four exercise conditions: cycle-fast increment, cycle-slow increment, run-fast increment, and run-slow increment. ANOVA for repeated measures (SuperANOVA version 1.11, Abacus Concepts, Berkeley, CA) was used to statistically test changes in the dependent variables between exercise conditions at each exercise intensity. Preplanned contrasts were used to compare the changes in the major dependent variables between exercise mode and ramp increment. In addition, because the lowest PaO2 for most of the subjects occurred during the fast-increment running protocol, we examined relationships between the nadir PaO2 during this protocol and VE, VO2 max, cardiac output, arterial PCO2 (PaCO2), A-aDO2, and pulmonary function data. Similarly, we examined the relationship between corresponding A-aDO2 and VO2 max, cardiac output, and pulmonary function data. Significance was accepted at P < 0.05 (two tailed). Data are presented as means ± SE throughout.

We also made comparisons between the PaO2 at VO2 max and data obtained from male subjects. We collated data from several studies in men that either cycled (2, 16, 18, 19, 22, 26, 30, 32) or ran (6, 17, 20) at an intensity of 90-100% of VO2 max and developed ±95% prediction limits for PaO2 as a function of VO2. The limits define the range of predicted values of PaO2 as a function of VO2 max.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

General Data

All subjects tolerated the study well. The subjects were an average of 26.9 ± 1.4 yr old, 165.4 ± 1.3 cm (height), and 58.7 ± 1.1 kg (weight). Pulmonary function data are given in Table 1. All the pulmonary function tests were within normal limits. As we have found for male athletes, on average, forced expiratory volume in 1 s, total lung capacity, and DLCO were greater (9, 9, and 21%, respectively; all P < 0.005) than predicted for normal nonathletic female subjects. However, as expected, vital capacity and spirometry results were less than that predicted for men of similar age and stature. Serum progesterone levels were not different between cycling or running tests (mean ± SE = 1.3 ± 0.5 for cycling, 2.4 ± 1.3 for running; P = 0.3).

                              
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Table 1.   Pulmonary function and maximal exercise data

Comparison of Exercise Protocols

Data at VO2 max from the two maximal protocols are presented in Tables 2 and 3. VO2 max was not significantly different between the two exercise protocols and averaged 50 ml · kg-1 · min-1 for cycling and 51 ml · kg-1 · min-1 for running. There were no significant differences in maximal cardiac output between the two exercise protocols (22.0 ± 0.9 l/min for cycling and 20.8 ± 0.9 l/min for running; P = 0.16), but heart rate was significantly lower during cycling than during running (184 ± 2 and 189 ± 2 beats/min, respectively; P < 0.01). Cycling exercise resulted in greater maximal exercise VE (116.2 ± 5.2 l/min BTPS for cycling and 106.6 ± 4.0 l/min BTPS for running; P < 0.01) and alveolar ventilation (VA; 102.6 ± 4.5 l/min BTPS for cycling and 92.2 ± 3.6 l/min BTPS for running; P < 0.05), associated with a greater tidal volume (VT; 2.90 ± 0.25 liters for cycling and 2.30 ± 0.13 liters for running; P < 0.05).

                              
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Table 2.   Metabolic data at rest and at 30, 60, 90, and 100% of VO2max


                              
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Table 3.   Blood gas and respiratory data at rest and during exercise

Metabolic and Ventilatory Data

Data obtained at rest and during exercise at ~30, 60, and 90% of VO2 max for each of the four protocols are presented in Tables 2 and 3. Subjects had a similar VO2 at rest and during 60 and 90% of VO2 max for the four different exercise protocols. At 30% of VO2 max, VO2 was significantly (P < 0.001) lower during the running protocols than during the cycling protocols; VCO2, VE, and cardiac output were also similarly lower. This was due to the difficulties in matching VO2 with the transition from walking to running. At 60% of VO2 max, there were no significant differences between the four protocols for VE, VA, VCO2, heart rate, or cardiac output. Respiratory frequency was lower during cycling than during running (P < 0.0001), VT values were greater (P < 0.0001), and the dead space-to-VT ratio (VDS/VT) was less (P < 0.005).

At 90% of VO2 max, VE and VA were significantly (both P < 0.0001) greater in both of the cycling protocols compared with the running protocols (VE = 98.2 ± 4.4 l/min BTPS for cycling and 85.2 ± 3.8 l/min BTPS for running). There was no significant difference between the slow and fast increments. There were no significant differences in VDS/VT for the four exercise protocols. Frequency was not different, but VT was larger during cycling than during running (P < 0.0001); there was no significant difference between slow and fast increments. Interestingly, although heart rate was not significantly different between the four exercise protocols, cardiac output was greater during cycling exercise than during running (21.0 ± 0.6 and 19.2 ± 0.06 l/min, respectively; P < 0.0005), stroke volume was larger (P < 0.001), and calculated mixed venous PO2 was higher (P < 0.0001).

Arterial Blood Gases

At rest and at 30 and 60% of VO2 max, there were no significant differences between the slow- and fast-increment protocols or cycle and run protocols for PaO2 or A-aDO2 (Fig. 1 and Table 2). At rest, PaCO2 was lower in the slow-increment (P < 0.01) protocols than in the fast-increment protocols, most likely an ordering effect, since the slow-increment tests were the second test conducted. Significant differences were observed between cycling and running protocols at 90% of VO2 max: PaO2 was greater during cycle than during run (105 ± 2 and 94 ± 2 Torr, respectively; P < 0.0001) associated with both a smaller A-aDO2 (16 ± 2 vs. 22 ± 2 Torr, respectively; P < 0.0001) and a lower PaCO2 (30 ± 1 vs. 32 ±1 Torr, respectively, P < 0.0005). Thus the difference in PaO2 between cycling and running was due to both a difference in efficiency in gas exchange and a difference in VA. In comparing slow- and fast-increment protocols, there were small but significant differences between the two work rate increments: PaO2 was greater during the slow-increment protocol than the during the fast (101 ± 2 and 98 ± 2 Torr, respectively; P < 0.05), explained by a slightly smaller A-aDO2 (18 ± 2 vs. 20 ± 2 Torr, respectively; P < 0.05). There were no significant differences between the two work rate increments for PaCO2. Consequently, the protocol associated with the highest PaO2 was the slow-increment cycling protocol and the one resulting in the lowest PaO2 was the fast-increment running protocol. Nadir PaO2 values from the fast cycle and run protocols are shown in Fig. 2. Of the 17 subjects studied, 14 had lower PaO2 during running than during cycling (P < 0.0005).


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Fig. 1.   Arterial blood gases at rest and at ~30, 60, and 90% of maximal O2 uptake (VO2 max). A: arterial PO2 (PaO2) is significantly different between cycle and run protocols (P < 0.0001) and between slow (1 min) and fast (5 min) increments (P < 0.05) at 90% of VO2 max. B: arterial PCO2 (PaCO2) is significantly different between slow and fast increments (P < 0.01) at rest and between cycle and run protocols (P < 0.001) at 90% of VO2 max. C: alveolar-arterial O2 difference (A-aDO2) is significantly different between cycle and run protocols (P < 0.0001) and slow and fast increments (P < 0.05) at 90% of VO2 max.



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Fig. 2.   Nadir PaO2 values from cycling and running fast-increment protocols. Results are significantly different, P < 0.005.

Exercise-Induced Hypoxemia in Female Subjects

We examined the fast-increment treadmill running exercise data for evidence of EIAH. Individual subject data are given in Fig. 3. Our subjects were hyperventilating during the rest period, reflected by lowered PaCO2. This is probably because the resting sample was obtained while the subject sat on a chair placed on the treadmill, anticipating the exercise bout. Because we expected PAO2 and thus PaO2 to be elevated from hyperventilation, we could not use a decrement in PaO2 from the resting data as the criterion for EIAH. Instead, assuming a normal resting PaO2 of ~100 Torr for this population, we defined no EIAH as nadir PaO2 >= 90 Torr (n = 7, PaO2 = 97 ± 1 Torr), mild EIAH as nadir PaO2 = 81-89 Torr (n = 6, PaO2 = 86 ± 1 Torr), and severe EIAH as nadir PaO2<= 80 Torr (n = 4, PaO2 = 77 ± 1 Torr). None of the women who fell into this last category had a similarly low PaO2 during cycling exercise.


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Fig. 3.   Individual subject data for PaO2 (A) and A-aDO2 (B) as a function of O2 consumption (VO2) during the fast-increment treadmill running protocol.

We used regression analysis to analyze the nadir PaO2 data (Fig. 4) and corresponding A-aDO2 data. Nadir PaO2 during the fast-increment running protocol was significantly and negatively related to A-aDO2 (R2 = 0.85, P < 0.0001) and to VO2 (R2 = 0.24, P < 0.05) but not to PAO2, ventilation, PaCO2, cardiac index, or any resting test of pulmonary function. However, A-aDO2 was significantly related to VO2 (R = 0.69, P < 0.005) and cardiac output (R = 0.60, P < 0.05). The PaO2 at VO2 max was closely correlated with the nadir PaO2 (R2 = 0.86, P < 0.001) but averaged 4 Torr higher than the nadir PaO2 (P < 0.005).


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Fig. 4.   Correlation between nadir PaO2 during fast-increment running protocol and A-aDO2 and VO2.

Gender Effects

We were able to compile arterial blood-gas and metabolic data from 72 male subjects during cycling exercise at 90-100% of VO2 max (2, 16, 18, 19, 22, 26, 30, 32). In these male subjects, there was a weak but significant relationship between PaO2 and VO2 max (R = 0.33, P < 0.01). On the basis of this relationship, we generated a ±95% prediction limit for PaO2 as a function of VO2 max. Data obtained at VO2 max during the fast-increment cycling protocol from the present study are compared with data obtained from 70 men during cycling at 90-100% of VO2 max in Fig. 5. All of the PaO2 values from our female subjects lie above the lower limit of the analyses as defined for men. A similar analysis for running exercise is also presented in Fig. 5, using data obtained from 38 men (7, 17, 20). There was a weak relationship between PaO2 and VO2 max (R = 0.27, P = 0.051). Similar to our results from cycling exercise, the data from our subjects during running exercise fell above the lower limit of the 95% prediction interval for PaO2 for men during running exercise.


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Fig. 5.   PaO2 as a function of VO2 max for the women in the present study (; n = 17) and for male subjects at exercise intensities close to or at VO2 max (open circle ; n = 72 cycling men, 38 running men). A: cycling results. B: running results. Dotted lines represent ±95% prediction limits for PaO2 as a function of VO2. These limits define, at the 95% confidence level, the range of predicted values of PaO2 as a function of VO2 max.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

In this study of 17 healthy woman, we found significant differences in PaO2 between running and cycling but only during very heavy exercise. At 90% of VO2 max, running exercise resulted in a PaO2 that was lower than for cycling at the same exercise intensity. Although running resulted in lower exercise ventilation, less alveolar hyperventilation, and higher PaCO2, the lower PaO2 was also related to a greater A-aDO2 during running than during cycling. Although the effect of work rate increment was less pronounced, fast incremental protocols resulted in a lower PaO2 associated with a wider A-aDO2 without differences in VA. Consequently, on the basis of these findings, fast-increment running protocols, such as those commonly used with treadmill VO2 max tests, would be most likely to be associated with significant EIAH.

We were interested in the overall incidence of EIAH and the gas-exchange response of these healthy female subjects to two types of maximal exercise. Consequently, we did not confine our data collection to the midfollicular phase of the menstrual cycle. We chose to collect data throughout all phases of the menstrual cycle and included women who were taking oral contraceptives, if they otherwise met the study criteria. Progesterone is a ventilatory stimulant, and, during the follicular phase, it is expected that VA will be lower than during the luteal phase. However, progesterone levels were not different for cycling and running protocols and thus cannot explain the differences in PaO2 and PaCO2 between the two exercise types.

Cycling Compared With Running

There were no significant differences between cycling and running protocols for VO2 max. Generally, treadmill running protocols are associated with a higher VO2 max than cycle ergometer protocols, but this difference appears to be minimized in subjects who are experienced cyclists, as were 12 of our subjects. Maximal cardiac output values were not significantly different between the two exercise modes, although heart rate was higher during running exercise. However, at 90% of VO2 max, there was a small but statistically significant difference in cardiac output between running and cycling, with the difference being opposite to the expected direction (running lower than cycling). The reason for the difference in cardiac output between these two types of exercise at the same VO2 is unknown and has not been previously reported.

Ventilation. At 90% of VO2 max, ventilation was greater during the cycling tests than during the running tests, even at the same absolute VO2. VA was also greater during cycling than during running, as was VT. There was no difference in VDS/VT between the two exercise modalities. As mentioned earlier, this cannot be explained by menstrual phase differences. Possibly, pulmonary mechanics may differ between the two exercise modes. Running is associated with a greater change in end-expiratory lung volume (EELV) than is cycling, likely because of increased recruitment of abdominal muscles (14). Although a lower EELV would be expected to optimize diaphragmatic shortening and facilitate active expiration, the lung may be displaced to the alinear portion of the pressure-volume curve and reduce lung compliance (25). It is also possible that the differences in ventilation were due to differences in the degree of entrainment between the two exercise modalities. The extent to which subjects entrain during different exercise modalities is controversial, but it is likely that specific training may enhance entrainment during any given exercise modality (4). Among triathletes, entrainment is higher during cycling than during running exercise (5). As mentioned earlier, the majority of the subjects regularly included some cycle exercise as part of their training regimen, and it is possible that the extent of entrainment may increase exercise ventilation at any given workload.

Blood gases. PaO2 was higher during cycling than during running exercise partly because of increased ventilation during cycling exercise compared with running. PaCO2 was lower and VA was higher during cycling than during running exercise. This is also reflected by the fact that, on average, the alveolar PO2 was 5 Torr higher during cycling than during running. These results confirm the results of Gavin and Stager (9), who demonstrated a lower SaO2 (measured with ear oximetry) and lower exercise ventilation during uphill treadmill running compared with bicycle ergometry in subjects with documented EIAH. However, averaged over both of the incremental protocols, the A-aDO2 was 6 Torr greater during running than during cycling. Possible contributors to the A-aDO2 results are shunt, pulmonary diffusion limitation, and ventilation-perfusion inequality. We can only speculate on the significantly greater A-aDO2 during both running protocols compared with the cycling protocols, since we did not directly measure any of these factors. Calculated mixed venous PO2 was lower during running exercise than during cycling. Because these were healthy, normal female subjects, without evidence of heart or lung disease, they were unlikely to have significant cardiac or pulmonary shunts. In the case of cycling exercise, the A-aDO2 could be explained by ~1% shunt, but, during running, the shunt would have to be >2% to account for the blood-gas data. Postpulmonary shunt (from bronchial and thebesian veins) has been estimated at ~0.2% (30), and intrapulmonary and cardiac shunts are typically measured at <0.2% (11, 18, 30). Thus, even given the differences in mixed venous PO2 between cycling and running, it is difficult to envision that the amount of shunt would approximately double between cycling and running. Pulmonary diffusion limitation could account for the differences in PaO2 between the two types of exercise, but, because cardiac output was lower during running than during cycling, one would have to hypothesize either that pulmonary capillary blood volume was reduced in running compared with cycling or that the membrane diffusing capacity of the lung was lower; both explanations appear implausible. Finally, another possible explanation is differences in ventilation-perfusion matching between the two exercise types. As noted above, the two different exercise modalities result in differing EELVs, which in turn may affect ventilation-perfusion matching.

Slow- Compared with Fast-Increment Protocol

PaO2 was higher and the A-aDO2 was less during the slow-increment protocols compared with the fast-increment protocols. However, the order of the slow- and fast-increment tests was not randomized, and the increase in PaO2 during the second slow-increment test may in part be due to an ordering effect. Repeat exercise has been shown to result in a lower A-aDO2 and a greater PaO2 (12). The mechanism is unknown but may relate to a reduction in pulmonary vascular resistance and improved distribution of blood flow with repeat exercise (33).

Exercise-Induced Hypoxemia in Female Subjects

Virtually all of our subjects were hyperventilating at the first preexercise resting sample; thus we could not use a change from resting values to define EIAH. In contrast to the study of Harms et al. (13), which used treadmill exercise and 2.5-min work rate increments, only 24% of our subjects developed severe EIAH compared with 51% of subjects in the Harms et al. study. A major finding of the study by Harms et al. was the occurrence of EIAH in 40% of their subjects with a VO2 max that was within 15% of the predicted normal values. In the present study, the four subjects who experienced severe EIAH all had a VO2 max >50 ml · kg-1 · min-1 (average 180% predicted), and there was a significant relationship between nadir PaO2 and VO2 max.

We are unable to explain the differences between our study and this previous work (13). These differences are not likely due to different ways of defining EIAH, since the average PaO2 for our subjects during running exercise is almost 10 Torr greater and the corresponding A-aDO2 is 7 Torr less. It is also not due to differences in aerobic fitness, as VO2 max did not differ significantly between the two studies (P = 0.2) and the differences persisted even when subjects of the same VO2 range are considered. One possibility is the small but significant (P < 0.05) difference in diffusing capacity between the subjects in the two studies. We are uncertain why the two study populations should differ in this aspect of pulmonary function. However, pulmonary diffusing capacity has been shown to be lower during menses and the midfollicular phase of the menstrual cycle than during the rest of the menstrual cycle (27), both in normal menstruating women and in those taking oral contraceptives. Because the subjects of Harms et al. (13) were all standardized to the midfollicular phase of their menstrual cycle and our subjects were studied randomly throughout the menstrual cycle, this may explain the difference in DLCO between the two groups of subjects. Whether the lower diffusing capacity can explain the greater incidence of EIAH in their subjects is unknown. Perhaps, most importantly, it is essential to recognize that between these two studies, only 46 women have been studied in total. In men, the blood-gas response to exercise is remarkably heterogeneous. The two studies likely represent different parts of the same response spectrum.

As shown in Fig. 5, all of our subjects fell above the 95% prediction limits for PaO2 as a function of VO2max during both cycling and running exercise, using published data from healthy normal male subjects. We were able to compile data from only 38 males during running exercise, the majority of whom were athletes. Consequently, the mean VO2 max for the male subjects was greater than the mean for our female study population (67 ml · kg-1 · min-1 in men vs. 51 ml · kg-1 · min-1 in women), and the comparison between populations for running exercise must be viewed with some caution. However, the PaO2 of 15 of the 17 female subjects lies above the regression line for males. During cycling exercise, there is considerable overlap between the two study populations and the mean VO2 max values are similar (53 ml · kg-1 · min-1 in men vs. 50 ml · kg-1 · min-1 in women). Thus we cannot conclude that our subjects are any more susceptible to EIAH than their male counterparts.

Mechanisms of EIAH

In our study, only four subjects developed EIAH; thus conclusions regarding the mechanism are limited. However, we did not find a relationship between PaO2 and PaCO2 in the present study, suggesting that, in our population, VA was not a factor explaining the differences between subjects (although there are clear differences within subjects for different exercise modes). Rather, there was a close correlation between the A-aDO2 and PaO2, suggesting that the efficiency of gas exchange is the major determinant of arterial oxygenation. At the nadir PaO2, the corresponding A-aDO2 was significantly related to cardiac output, suggesting that high pulmonary blood flow may affect the efficiency of pulmonary gas exchange. We found appreciable EIAH only during rapid incremental treadmill running. Thus, under conditions of the same demand for O2, the ability to supply it differs with differing exercise modalities, and those who do experience EIAH may not do so under all exercise conditions.

In summary, during heavy exercise, we found significant differences in arterial oxygenation, ventilation, and efficiency of gas exchange between running and cycling exercise protocols in fit women. The reasons for the differences in gas-exchange efficiency are unknown but may relate to differences in mixed venous O2 content or ventilation-perfusion matching. We also found a lower incidence of EIAH in women than found in previous studies (13) and only in subjects with a VO2 max >50 ml · kg-1 · min-1. The PaO2 values during maximal exercise in our subjects do not differ from those previously obtained in males.


    ACKNOWLEDGEMENTS

We thank Jerome Dempsey and Bruce Johnson for generously sharing original data. We also thank our subjects for enthusiastic participation. The technical assistance of Larry Nava, Rita Klabacha, Nick Busan, and Jeff Struthers is gratefully acknowledged.


    FOOTNOTES

This work was supported by National Institutes of Health Grants HL-17731, HL-07212, and M01-RR-00827. T. P. Gavin was supported in part by a National Research Service Award HL-09624.

Address for reprint requests and other correspondence: S. R. Hopkins, Dept. of Medicine 0623, Univ. of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093-0623 (E-mail: shopkins{at}ucsd.edu).

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.

Received 14 May 1999; accepted in final form 11 January 2000.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
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J APPL PHYSIOL 89(2):721-730
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