
Keywords: Andean highlanders, chronic mountain sickness, exercise capacity, excessive erythrocytosis, isovolumic hemodilution
Abstract
In chronic mountain sickness (CMS), increased blood oxygen (O2)-carrying capacity due to excessive erythrocytosis (EE, [Hb] ≥ 21 g/dL) could be offset, especially during exercise by both impaired cardiac output (Q̇t) and O2 diffusion limitation in lungs and muscle. We hypothesized that EE results in reduced peak V̇o2 despite increased blood O2-carrying capacity, and that isovolumic hemodilution (IVHD) improves exercise capacity. In 14 male residents of Cerro de Pasco, Peru (4,340 m), six with and eight without EE, we measured peak cycle-exercise capacity, V̇o2, Q̇t, arterial blood gas parameters, and (resting) blood volume. This was repeated for participants with EE after IVHD, reducing hematocrit by 20% (from 67% to 53%). From these data, we quantified the major O2 transport pathway components (ventilation, pulmonary alveolar-capillary diffusion, Q̇t, and blood-muscle mitochondria diffusion). Participants with EE had similar peak V̇o2, systemic O2 delivery, and O2 extraction as non-EE controls, however, with lower Q̇t and higher arterial [O2]. After IVHD, peak V̇o2 was preserved (but not enhanced), with lower O2 delivery (despite higher Q̇t) balanced by greater O2 extraction. The considerable variance in exercise capacity across the 14 individuals was explained essentially completely by differences in both pulmonary and muscle O2 diffusional conductances and not by any differences in ventilation, [Hb], nor Q̇t. In conclusion, EE does not result in lower peak V̇o2 in Andean males, and IVHD maintains, but does not enhance, exercise capacity.
NEW & NOTEWORTHY Male Andean highlanders with and without excessive erythrocytosis (EE) have similar peak V̇o2 at 4,340 m, with higher arterial [O2] in EE and lower cardiac output (Q̇t), thus maintaining similar O2 delivery. Peak V̇o2 in participants with EE was unaffected by isovolumic hemodilution (hematocrit reduced from 67% to 53%), with lower O2 delivery balanced by slightly increased Q̇t and greater O2 extraction. Differences in lung and muscle diffusing capacity, and not hematocrit variation, accounted for essentially all interindividual variance in peak V̇o2.
INTRODUCTION
Human populations have inhabited high-altitude regions for thousands of years and exhibit different strategies to cope with life under hypoxic conditions (1–3). Relative to Tibetan and Ethiopian highlanders at comparable altitudes, Andeans show slightly higher average hemoglobin concentration ([Hb]) (1, 4) and many develop excessive erythrocytosis (EE; [Hb] ≥ 21 g/dL in men and ≥19 g/dL in women) and chronic mountain sickness (CMS, also called Monge’s disease). CMS is a maladaptive clinical syndrome characterized by the presence of EE accompanied by headache, shortness of breath and/or palpitations, sleep disturbance, cyanosis, paresthesia, widespread dilatation of veins, and tinnitus (5, 6). The condition is also frequently associated with pulmonary hypertension (7) and adverse cardiometabolic risk factors (8–14). Chronic hypoxemia is considered as the main underlying cause of EE and CMS, and, although the pathophysiological mechanisms are controversial, there is a clear underlying cellular and genetic basis for the exaggerated erythrocyte production (15–21).
Travel to lower altitudes, bloodletting (blood withdrawal without fluid replacement), and hemodilution (blood withdrawal with fluid replacement) are common temporary treatments of CMS signs and symptoms, suggesting a significant role for EE in the development of the syndrome (22–24). Isovolumic hemodilution (IVHD) involves the removal of a specified volume of blood with immediate replacement by the same volume of a colloidal solution such as albumin, dextran, hydroxyethyl starch, or degraded gelatin derivatives. The few studies using IVHD in highlanders with CMS have shown varying results in terms of arterial O2 saturation, pulmonary ventilation, hemodynamics, exercise capacity (23–25), in addition to increased cardiac output and ventilation/perfusion (V̇a/Q̇) mismatch (25). Smith et al. (26) showed that the reduction of hematocrit by 19% through IVHD (∼500 mL of blood/day over 4 days replaced with normal saline, 0.9% NaCl) in highlanders with CMS caused a 10% increase in resting cardiac output, an increase in pulmonary artery systolic pressure (PASP), in addition to a progressive development of iron deficiency accompanied by a further significant increase in PASP over 12 days post-IVHD. Moreover, IVHD in highlanders with CMS significantly reduced blood viscosity and improved shear stress stimulus-adjusted flow-mediated dilation, suggesting that the resistance to flow incurred by blood viscosity impairs shear stress-associated vasodilation, impairing perfusion and potentially impairing regional O2 delivery to tissues (27). However, none of these recent studies examined the effect of excessive hematocrit and hemodilution on aerobic capacity and overall O2 transport.
Previous studies in Andean (23, 28) and Tibetan (23, 28) highlanders revealed an inverse relationship between maximal exercise capacity and [Hb], and recent studies provide evidence for a positive association between Hb mass and V̇o2peak in Sherpa (29). A later study in Andeans with [Hb] ranging from standard high-altitude to excessive values at 4,340 m showed similar aerobic capacities and no relationship between [Hb] and V̇o2max (30). However, the reference group for this study was not well matched with the patients with CMS. It included male and female highlanders with lower V̇o2max and lower hematocrit and individuals who were ∼10 yr younger in age than the group with CMS. Finally, a more recent study has also shown a lack of association between [Hb] and V̇o2max in male Andean highlanders (31). Excessively elevated hematocrit might reduce tissue O2 delivery due to impaired diffusion and offset the advantage of increased O2 carrying capacity due to high [Hb]. As shown 40 years ago by Piiper and Scheid (32), an elevated [Hb] may contribute to diffusion limitation of O2 exchange. This limitation could occur both between alveolar gas and capillary blood in the lungs and between muscle microcirculatory vessels and mitochondria (33), whereby the compound term D/(β·Q̇) determines the degree of diffusion equilibration to be expected (D is lung or muscle diffusing capacity, β is the average slope of the O2-Hb dissociation curve, and Q̇ is blood flow). Since elevated [Hb] directly increases β, D/(β·Q̇) will be reduced for given values of D and Q̇, potentially causing O2 diffusion limitation. These O2 diffusional transport steps, together with the capacity for ventilatory and circulatory convective O2 transport, define how the O2 transport pathway as a system determines maximal aerobic capacity or V̇o2max (34). Therefore, the study of maximal exercise capacity can provide fundamental insight into the effects of an elevated [Hb], and EE in particular, on each of the steps in O2 transport from inspired air to muscle mitochondria.
We hypothesized that despite high blood O2-carrying capacity, individuals with EE, relative to those without, would have lower exercise capacity that would increase following IVHD. Therefore, the primary aim of the present study was to examine the effect of EE on peak V̇o2 in Andean men resident in Cerro de Pasco, Peru, by making measurements in 1) healthy participants without EE, 2) participants with EE the day before IVHD, and 3) the same EE participants 48 h following IVHD designed to reduce hematocrit by 20%. As a secondary aim, we assessed each major convective and diffusive step of the O2 transport pathway (ventilation, alveolar-capillary diffusion, cardiac output, and blood-mitochondria diffusion) to provide insight at an integrated physiological systems level that will guide future mechanistic studies.
MATERIALS AND METHODS
Ethical Approval
The study was approved by the Institutional Ethics Committee of Universidad Peruana Cayetano Heredia (CIEH-UPCH 081-03-17, SIDISI #59285) and by the University of California, San Diego Human Research Protection Program (UC San Diego Project #171772). All participants received a detailed explanation of the study procedures and signed an informed consent form in Spanish.
Study Participants
Fourteen volunteers, six with EE and eight age-matched highlanders without EE, participated in the study. All participants were nonathletic but active men between 24 and 64 yr old and lifelong residents of Cerro de Pasco, Peru (4,340 m). Only male highlanders were included in the study because EE and CMS have a very low prevalence in premenopausal women (35, 36). Therefore, forming comparable age-matched groups without any confounding effects of age and menopause itself was not possible. The inclusion of only male participants means that our results cannot be generalized to women nor to males outside the age range studied.
No participants had a history of pulmonary, cardiovascular, or renal disease, were current smokers, worked in mining activities, had undergone blood transfusions or phlebotomies in the previous 6 mo, had traveled to lower altitudes (<3,000 m) for more than 7 days during the previous 6 mo, or had demonstrated abnormal ECG or pulmonary function during screening procedures.
Preliminary Screening, Hematocrit, and Qinghai CMS Score
Clinical examination was performed during a preliminary screening session to rule out prior history of cardiovascular or pulmonary disease. During this session, an ECG (Quark C12x, Cosmed, Italy) and spirometry test (Pony FX, Cosmed, Italy) were performed, and pulse oxygen saturation () and heart rate (HR) were measured using a Nellcor N-560 oximeter (Nellcor Puritan Bennet Inc., Pleasanton CA). Systolic and diastolic blood pressure (SBP and DBP, respectively) were measured with a validated oscillometric device [UA-767Plus, A&D, Japan (37)]. All measurements were office-based taken after a 5-min resting period.
For screening purposes, hematocrit was determined from duplicate centrifuged micro blood samples obtained from fingertip capillary blood. Participants with hematocrit ≥ 63% (equivalent to [Hb] ≥ 21 g/dL) were classified as individuals with EE (5). General health and Qinghai CMS score questionnaires were also applied (Table 1). The CMS score quantifies the absence or presence and severity of the syndrome and is based on the occurrence of EE, as well as the presence and severity of the following signs and symptoms: headache, shortness of breath or palpitations, sleep disturbances, paresthesia, cyanosis, dilated veins, and tinnitus (5).
Table 1.
Baseline characteristics of study participants
| Non-EE (n = 8) | EE Pre-IVHD (n = 6) | P Value | |
|---|---|---|---|
| Age, yr | 52 ± 9 | 50 ± 14 | 0.69 |
| Bodyweight, kg | 64 ± 7 | 70 ± 16 | 0.40 |
| BMI, kg/m2 | 24.8 ± 2.4 | 25.2 ± 4.5 | 0.83 |
| Hematocrit, % | 55 ± 2 | 69 ± 3 | 0.0001*** |
| CMS score | 1.1 ± 1.0 | 10.0 ± 5.5 | 0.003** |
| HR, beats/min | 68 ± 5 | 69 ± 10 | 0.82 |
| SBP, mmHg | 102 ± 12 | 107 ± 10 | 0.42 |
| DBP, mmHg | 68 ± 10 | 68 ± 12 | 0.99 |
Values expressed as means ± SD. BMI, body mass index; CMS, chronic mountain sickness; DBP, diastolic blood pressure; EE, excessive erythrocytosis; HR, heart rate; SBP, systolic blood pressure. Bold type indicates statistical significance at **P < 0.01, ***P < 0.001.
Blood Samples for [Hb], Hematocrit, and Iron Profile
Two 9-mL blood samples were taken from the antecubital vein of all participants under fasting conditions on the morning of the preliminary cardiopulmonary exercise test (CPET). One sample was collected in a clot-activator tube and the second in an EDTA-coated tube, from which a microcapillary sample was taken to determine venous hematocrit and [Hb] using an iSTAT-1 handheld blood analyzer (iSTAT, Abbott Point of Care Inc. Princeton, NJ). Samples were centrifuged at 3,500 rpm for 20 min. Serum was immediately stored at −20°C, and then at −80°C for later analysis of iron profile. Forty-eight hours after hemodilution, a second set of blood samples for the same analyses were obtained and CMS score was assessed in participants within the EE group. Iron profiles were determined because of the effect of IVHD-induced reduction in iron concentration on pulmonary vascular function (26), which in turn might affect cardiac function during exercise.
Blood Volume Measurement
Blood volume (BV) was measured once in participants without EE and twice in participants with EE (∼24 h before and ∼30 h after IVHD) using the indocyanine green (ICG; CardioGreen, Sigma-Aldrich) dye dilution method (38). Briefly, with participants seated, a catheter was placed in the cephalic vein with two three-way connected stopcocks. Ten to fifteen minutes before beginning the BV measurement procedure, participants were accommodated in a semirecumbent position. To avoid dye-contamination of post-IVHD blood samples, one stopcock was used for injection of a volume of dye at a concentration of 2.5 mg/mL (0.05 mg/kg) and the second for blood sample collection just before and 5, 10, 15, and 20 min after dye injection. Each sample was centrifuged, plasma collected, and its absorbance read at 805 nm. A four-point calibration curve was obtained by adding increasing indocyanine green amounts to the plasma samples of each participant to obtain final concentrations of 0.85–3.3 µg/mL. Plasma volume for each participant was calculated by mass conservation, using absorbance values extrapolated linearly back to time of dye injection (t0). Briefly, after exponential fitting ([Abs = Abs0·e−kt) of the absorbance curve resulting from the respective measuring time points, and posterior logarithmic transformation, the absorbance of ICG in plasma at t0 is obtained. After introducing this value into the calibration equation, we obtained [ICG] at t0 ([ICG]0). Knowing the ICG injected mass, we calculated PV as: PV = [ICG]0/ICG mass. Then, we calculated BV as: BV = PV/(1−hematocrit).
Isovolumic Hemodilution
IVHD was performed to reduce hematocrit by ∼20% below its initial value. The volume of blood required to be removed to obtain this planned reduction in hematocrit was calculated using the methodology of Gross et al. (39):
where V is the blood volume to be removed, BV is the total blood volume (measured as above before hemodilution), Hct0 is the hematocrit before hemodilution, HctF is the hematocrit at the end of the hemodilution (or the target hematocrit), and HctAV is the average of these two hematocrit values (Hct0 + HctF)/2.
Up to four 500 mL units of blood were removed in supine position from the cephalic vein of the nondominant arm over two consecutive days to reach the target hematocrit value. Each day the removed blood volume was substituted by an equal volume of colloid plasma replacement (Polygelyne 3.5%, Hisocel). Polygeline has a half-life of 3–6 h, and its hemodynamic stabilization effects last for 24 h (40, 41). Hematocrit was measured before each IVHD session to assess the need for additional blood volume removal. Each hemodilution session was conducted slowly (over ∼3 h) to avoid acute hemodynamic changes.
Cardiopulmonary Exercise Test
Participants first performed a standard, noninvasive maximal CPET to exhaustion at the Universidad Peruana Cayetano Heredia high-altitude laboratory in Cerro de Pasco, Peru (4,340 m), according to the guidelines of the American Thoracic Society/American College of Chest Physicians (42). A forehead oximeter (Nellcor N-395, Louisville, KY) probe was taped to the skin to obtain measurements throughout the test. A tightly fitting silicone oro-nasal facemask (V2 series 7450 TM, Hans Rudolph, Kansas) was secured and connected to an ergospirometer-metabolic system (Quark CPET, Cosmed, Italy). CPET was performed on a cycle ergometer (Ergomedic 828E, Monark Exercise AB, Sweden) with continuous breath-by-breath (averaged every five breaths) measurements of respiratory parameters to determine O2 uptake (V̇o2), CO2 output (V̇co2), minute ventilation (V̇e), and end-tidal Po2 and Pco2 ( and , respectively). Twelve-lead ECG and HR were recorded continuously.
In a second visit ∼24 h later, and after a 5-min rest while seated in the cycle ergometer, a five-step (3 min each) CPET was performed at power outputs corresponding to 0%, 25%, 50%, 75%, and 100% of each participant’s predetermined peak V̇o2. Before this five-step CPET session, a 20-gauge radial arterial catheter was placed percutaneously under local anesthetic using sterile technique to obtain arterial blood samples at rest and during the last minute of each workload step for hematocrit, [Hb], arterial blood gas (ABG) analysis (iSTAT, Abbott Point of Care Inc. Princeton, NJ), and direct measurement of arterial saturation (; AVOXimeter 4000, Whole Blood CO-oximeter, Instrumentation Laboratory, Edison, NJ). Impedance cardiography (IC, PhysioFlow Enduro, Paris, France) was used to measure cardiac output (Q̇t) by means of six electrodes taped onto cleansed skin (two each on the back, neck, and chest). We included a comparison of our Q̇t measurements obtained by IC with data from the classic study by Astrand et al. using the dye-dilution technique (43) (see appendix).
The multistage CPET, again with arterial sampling and impedance cardiography, was repeated in participants with EE ∼48 h after their last IVHD session, encouraging participants to achieve higher power outputs than before IVHD. Body weight was recorded before each CPET session and oral temperature was recorded before and immediately after.
Q̇t response to exercise was characterized by both peak Q̇t and the slope of the Q̇t-V̇o2 relationship. Mixed venous [O2] () and PO2 (), together with mixed venous [CO2] () and PCO2 (), were calculated by mass conservation equations using the Fick principle and measured values of V̇o2, Q̇t, and arterial O2 concentration (). Standard P50 (P50 STD, i.e., corrected to Pco2 of 40 mmHg, pH of 7.40, and temperature of 37°C) was computed for each subject from their Po2-saturation relationship (44). Previously established FORTRAN programs using a forward integration algorithm (45) and incorporating the Kelman subroutines for the O2 and CO2 dissociation curves (46, 47) were used to determine diffusing capacity in lung (Dl) and muscle (Dm). These algorithms find the values of diffusing capacity in lung and muscle that produce the measured arterial Po2 in the case of lung and the (determined as described at the beginning of this paragraph) in the case of muscle, assuming a homogeneous organ in each case. Stroke volume (SV) was calculated as Q̇t divided by HR, convective O2 transport (i.e., O2 delivery, Q̇o2) as the product of Q̇t and , and O2 extraction determined from the ratio of whole body V̇o2 and Q̇o2, all using data at peak exercise.
Analysis of O2 Transport Variables during Maximal Exercise
Individual O2 transport variables measured or calculated at maximal exercise included peak V̇o2 (mL·min−1·kg−1), minute ventilation V̇e (mL·min−1·kg−1), , , , Dl normalized to body weight (Dl·kg−1), alveolar-arterial Po2 (A-aPo2) difference [obtained from the difference of calculated by the alveolar gas equation (= − /R + × × (1−R)/R) and ], Q̇t (mL·min−1·kg−1), Q̇o2, , mixed venous O2 saturation (), , DM normalized to body weight (DM·kg−1), O2 extraction, , arterial pH (pHa), , mixed venous pH (pHv), arterial [lactate], and base excess (BE). These were each compared across groups. Next, peak V̇o2was examined as a function of individual O2 transport variables using linear regression, and significant associations were included into a multivariate linear regression model. Individual O2 transport variables were also examined as a function of arterial [Hb].
Sample Size and Statistical Analysis
Assuming comparable differences and corresponding effect sizes (η2 = 1.6) previously observed in the effect of IVHD on exercise capacity in Andean highlanders with CMS (23, 24), our primary end-outcome variable (peak V̇o2) required a sample size of six participants to achieve a power of 0.80 at P = 0.02.
Normality of distribution and homogeneity of variance were assessed for comparison between groups. Unpaired or paired Student’s or Wilcoxon tests were applied accordingly to evaluate differences between 1) participants without EE and those with EE pre-IVHD, 2) participants without EE and those with EE post-IVHD, and 3) participants with EE pre- and post-IVHD. Bonferroni’s correction for multiple comparisons was applied to account for the dual use of each group (i.e., participants without EE compared with both participants with EE pre- and post-IVHD; participants with EE pre- and post-IVHD compared with each other) of the primary variable. As a result, α was set at 0.025. No correction was used for exploratory (secondary) variables.
Multiple linear regression was used to assess the significance of standardized predictors of peak V̇o2 using O2 transport pathway components as the independent variables. Interaction effects were further assessed for all significant predictors. GraphPad Prism v. 9.1.2 for Windows (GraphPad Software, San Diego, CA) was used for all statistical comparisons. Values are presented as means ± SD throughout the manuscript.
RESULTS
General Screening of Participants
Table 1 shows the general characteristics of study participants. Age, body weight, and BMI were similar between participants with and without EE, with a similar distribution of individual values between the groups. As expected, before IVHD, the six participants with EE (EE pre-IVHD) exhibited significantly higher hematocrit, and all but one had an elevated CMS score. Office-based measurements of HR, SBP, and DBP were similar between groups.
Blood Volume and Isovolumic Hemodilution
Pre-IVHD BV was not different in participants with EE compared with participants without (131 ± 31 vs. 106 ± 22 mL/kg, respectively, P = 0.10, Fig. 1A). Forty-eight hours after removing ∼2–4 blood units (1,675 ± 442 mL), and replacing it with an equal volume of the plasma substitute, BV remained statistically not different to pre-IVHD values with a tendency to a 14% reduction (131 ± 31 to 113 ± 16 mL/kg, P = 0.07, Fig. 1A). Red blood cell (RBC) total volume was larger in the EE pre-IVHD group compared with the non-EE group, and decreased significantly post-IVHD (Fig. 1B). Plasma volume (PV) was not different between groups before IVHD and increased after IVHD (Fig. 1C; P = 0.006). As planned, a 20.1 ± 1.6% reduction of hematocrit (Fig. 1D) and [Hb] was achieved (Fig. 1, D and E, respectively, and Table 2). Bodyweight, BMI, and CMS score also decreased posthemodilution (−2.4 kg, P = 0.008; −0.85 kg/m2, P = 0.006; and −8.8 points, P = 0.017, respectively). Serum iron and ferritin were not different between groups before and decreased significantly post-IVHD (112.3 ± 46.7 vs. 60.8 ± 30.2 µg/dL, P < 0.01; 101.9 ± 122.4 vs. 52.4 ± 49.0 ng/mL, respectively).
Figure 1.
Blood volume, hemoglobin, and hematocrit. Comparison of blood volume (BV), red blood cell (RBC) total volume, plasma volume (PV), hematocrit, and hemoglobin concentration ([Hb]) in participants with and without EE before and after IVHD. Participants with EE tended to have larger BV before IVHD which was maintained after IVHD (A). Total RBC volume was larger in participants with EE and was reduced to non-EE levels after IVHD (B). C shows similar PV in highlanders with and without EE before IVHD. After IVHD, PV increased slightly in the EE group. D and E shows hematocrit and [Hb], respectively. As expected, both were significantly higher in the EE group and were reduced to non-EE levels after IVHD. The graphs show individual values, means represented as bars, and connecting discontinuous arrows indicate paired pre- and post-IVHD measurements. Differences between groups were assessed using unpaired Student’s t test to compare non-EE vs. EE pre-IVHD and EE post-IVHD, and a paired t test to compare EE pre- vs. post-IVHD. *P < 0.05, **P < 0.01, ***P < 0.001. All male participants, non-EE (n = 8), EE (n = 6). EE, excessive erythrocytosis; IVHD, isovolumic hemodilution.
Table 2.
Participants with and without EE before and after IVHD under resting conditions
| Non-EE | EE Pre-IVHD | EE Post-IVHD | Non-EE vs. EE Pre-IVHD |
EE Pre-IVH vs. EE Post-IVHD |
Non-EE vs. EE Post-IVHD |
|
|---|---|---|---|---|---|---|
| Hcta, % | 53 ± 4 | 67 ± 4 | 53 ± 2 | 0.0001*** | 0.0002*** | 0.95 |
| [Hb]a, g·dL-1 | 17.8 ± 1.4 | 22.2 ± 1.4 | 17.7 ± 0.6 | 0.0001*** | 0.0002*** | 0.98 |
| P50 STD, mmHg | 25.9 ± 1.0 | 24.5 ± 1.1 | 26.3 ± 0.7 | 0.021* | 0.007** | 0.48 |
| V̇o2, mL·min−1 | 326 ± 54 | 322 ± 61 | 300 ± 52 | 0.45 | 0.080 | 0.20 |
| V̇o2, mL·min−1·kg−1 | 5.1 ± 0.6 | 4.8 ± 1.3 | 4.6 ± 0.8 | 0.61 | 0.38 | 0.22 |
| Q̇t, L·min−1 | 5.6 ± 1.3 | 5.4 ± 0.9 | 5.2 ± 0.9 | 0.80 | 0.60 | 0.55 |
| Q̇t, mL·min−1·kg−1 | 86.6 ± 15.2 | 79.2 ± 12.1 | 79.3 ± 17.1 | 0.35 | 0.99 | 0.41 |
| HR, beats/min | 86 ± 14 | 85 ± 8 | 80 ± 7 | 0.86 | 0.14 | 0.32 |
| SV, mL·kg−1 | 1.02 ± 0.18 | 0.95 ± 0.20 | 0.99 ± 0.18 | 0.50 | 0.42 | 0.84 |
| V̇e, L·min−1 | 11.8 ± 2.5 | 11.8 ± 2.2 | 11.4 ± 2.3 | 0.96 | 0.60 | 0.71 |
| V̇e, mL·min−1·kg−1 | 184.8 ± 36.8 | 174.7 ± 41.9 | 170.5 ± 24.8 | 0.64 | 0.74 | 0.43 |
| RER | 0.87 ± 0.10 | 0.90 ± 0.08 | 0.90 ± 0.04 | 0.30 | 0.35 | 0.54 |
| , mmHg | 48.6 ± 5.7 | 45.7 ± 4.6 | 46.3 ± 3.8 | 0.32 | 0.73 | 0.41 |
| , % | 84 ± 4 | 79 ± 5 | 82 ± 5 | 0.030* | 0.20 | 0.35 |
| A-aPo2, mmHg | 5.8 ± 2.5 | 9.1 ± 2.6 | 6.3 ± 1.2 | 0.033* | 0.017* | 0.67 |
| , mmHg | 28.3 ± 4.9 | 29.0 ± 4.0 | 30.4 ± 2.2 | 0.69 | 0.42 | 0.27 |
| pHa, units | 7.39 ± 0.04 | 7.34 ± 0.01 | 7.38 ± 0.03 | 0.013* | 0.026* | 0.71 |
| [HCO3−]a, mM | 17.1 ± 3.0 | 15.6 ± 2.3 | 18.1 ± 0.8 | 0.33 | 0.046* | 0.47 |
| BE, mEq/L | −7.9 ± 3.3 | −10.2 ± 2.3 | −7.0 ± 0.9 | 0.17 | 0.029* | 0.54 |
| [Lactate]a, mM | 0.90 ± 0.5 | 0.85 ± 0.3 | 0.49 ± 0.14 | 0.83 | 0.016* | 0.071 |
A-aPo2, alveolar-arterial Po2 difference; BE, base excess; EE, excessive erythrocytosis; [HCO3−]a, arterial bicarbonate concentration; Hcta, arterial hematocrit; [Hb]a, arterial hemoglobin concentration; IVHD, isovolumic hemodilution; [Lactate]a: arterial lactate concentration; P50 STD, standard P50; , arterial Po2; , arterial Po2; pHa, arterial pH; Q̇t, cardiac output; RER, respiratory exchange ratio; , arterial blood O2 saturation; V̇o2, O2 consumption; V̇e, pulmonary ventilation. Values expressed as means ± SD. Bold type indicates statistical significance at *P < 0.05, **P < 0.01, ***P < 0.001.
Resting Conditions
Ambient conditions were stable with barometric pressure between 455 and 457 mmHg, room temperature between 14°C and 18°C, and relative humidity between 52% and 55%. Measurements were obtained after a 5-min resting period while the participant was seated in the cycle-ergometer. The principal data are shown in Table 2.
Non-EE versus EE pre-IVHD
was slightly lower, A-aPo2 larger, whereas P50 STD and pHa were slightly less in pre-IVHD participants with EE than in non-EE controls (P values marked in bold in the corresponding column of Table 2). All other parameters in Table 2 were not different between the control and pre-IVHD participants with EE.
EE pre-IVHD versus EE post-IVHD
Post-IVHD, several parameters in Table 2 were slightly different from those before IVHD. , P50 STD, arterial bicarbonate concentration ([HCO3−]a), and pHa were all higher, whereas A-aPo2, BE, and arterial lactate concentration ([lactate]a) were all lower, with all parameters therefore changing in the direction of normalization (P values marked in bold in the corresponding column of Table 2).
EE post-IVHD versus non-EE
All parameters for post-IVHD participants with EE remained comparable or were not different from those in non-EE controls (Table 2).
Peak Exercise
Oral temperature showed no significant differences before and after each CPET session with a maximum difference between 0.1°C and 0.3°C.
Non-EE versus EE pre-IVHD.
Peak V̇o2 and O2 transport from air to arterial blood.
There were no differences between highlanders with and without EE in peak V̇o2 or V̇e (Fig. 2, A and B). and were also not different between groups (Fig. 2, C and D), whereas was higher in the EE compared with the non-EE group (Fig. 2E). Dl and A-aPo2 were not different between groups (Fig. 2, F and G). Peak power output was also not different in non-EE and EE pre-IVHD groups (150.4 ± 13.4 vs. 138.0 ± 12.3 W, P = 0.10).
Figure 2.
V̇o2peak and O2 transport from air to arterial blood at peak exercise. Comparisons of V̇o2 and the different components of the O2 transport chain from air to arterial blood in highlanders with and without EE before and after IVHD at peak exercise. Peak V̇o2 (V̇o2peak) was similar between groups and remained unchanged after IVHD (A). Pulmonary ventilation at peak exercise (V̇ePeak) was similar between groups before IVHD (B). C shows similar arterial Po2 () between groups and unchanged values after IVHD, whereas arterial O2 saturation () increased after IVHD as shown in D. E shows that arterial O2 content () was significantly higher in participants with EE compared with those without EE, and was markedly reduced after IVHD. Lung diffusion capacity (Dl) and alveolar-arterial Po2 difference A-aPo2 were similar between groups, and remained unchanged after IVHD as shown in F and G, respectively. The graphs show individual values, means represented as bars, and connecting discontinuous arrows indicate paired pre- and post-IVHD measurements. Differences between groups were assessed using unpaired Student’s t test to compare non-EE vs. EE pre-IVHD and EE post-IVHD and a paired test to compare EE pre- vs. post-IVHD *P < 0.05, **P < 0.01. All male participants, non-EE (n = 8), EE (n =6). EE, excessive erythrocytosis; IVHD, isovolumic hemodilution.
Peak Q̇t, SV, HR, and O2 transport from arterial blood to muscle.
Peak Q̇t was lower in highlanders with EE before IVHD compared with the non-EE group (Fig. 3A) as a result of a slightly lower SV (1.3 ± 0.3 vs. 1.6 ± 0.3 mL/kg, P = 0.06). HR was not different in both groups (153 ± 19 vs. 165 ± 10 beats/min, respectively, P = 0.16), whereas peak Q̇o2, , , , Dm, and O2 extraction were not different between groups (Fig. 3, B–G, respectively).
Figure 3.
Q̇tPeak and O2 transport from arterial blood to muscle at peak exercise. Comparisons of peak cardiac output (Q̇tPeak) and O2 transport from arterial blood to muscle between highlanders with and without EE before and after IVHD at peak exercise. Q̇tPeak was lower in EE compared with non-EE highlanders before IVHD and increased to match non-EE levels after IVHD (A). Convective O2 transport or O2 delivery (Q̇o2) was similar between groups before IVHD and decreased after hemodilution but remained lower than non-EE controls (B). C and D show similar venous Po2 () and venous O2 saturation () between groups and unchanged values after IVHD. E shows that venous O2 content () was similar in EE compared with non-EE highlanders and was markedly reduced after IVHD. Muscle diffusing capacity (Dm) was similar between groups and remained unchanged after IVHD (F), whereas O2 extraction determined from the ratio of whole body V̇o2 and Q̇o2 was also similar between groups but increased after IVHD as shown in G. The graphs show individual values, means represented as bars, and connecting discontinuous arrows indicate paired pre- and post-IVHD measurements. Differences between groups were assessed using unpaired Student’s t test to compare non-EE vs. EE pre-IVHD and EE post-IVHD and a paired test to compare EE pre- vs. post-IVHD *P < 0.05. All male participants, non-EE (n = 8), EE (n = 6). EE, excessive erythrocytosis; IVHD, isovolumic hemodilution.
Acid-base status.
and pHa were not different between groups (Fig. 4, A and B, respectively), whereas was higher in the CMS group (Fig. 4C). pHv, [HCO3−]a, BE, and [lactate]a were comparable between groups (Fig. 4, D–F, respectively).
Figure 4.
Acid-base status at peak exercise. Comparison of acid-base balance contributors in participants without and those with EE before and after IVHD at peak exercise. Arterial Pco2 at peak exercise ( Peak) was similar between groups before and after IVHD (A). Arterial pH (pHa) was similar between groups before IVHD and increased to non-EE levels after hemodilution (B). Venous Pco2 () was higher in the EE compared with the non-EE group and trended to decreased after IVHD (C), whereas venous pH (pHv) trended to lower values in EE before IVHD and trended to increase after (D). BE and [lactate]a remained statistically similar across groups and unchanged after IVHD as shown in E and F, respectively. The graphs show individual values, means represented as bars, and connecting discontinuous arrows indicate paired pre- and post-IVHD measurements. Differences between groups were assessed using unpaired Student’s t test to compare non-EE vs. EE pre-IVHD and EE post-IVHD and a paired test to compare EE pre- vs. post-IVHD *P < 0.05. All male participants, non-EE (n = 8), EE (n = 6). BE, base excess; EE, excessive erythrocytosis; IVHD, isovolumic hemodilution.
EE pre-IVHD versus EE post-IVHD.
Peak V̇o2 and O2 transport from air to arterial blood.
Peak V̇o2 and V̇e remained essentially unchanged after hematocrit reduction (Fig. 3, A and B). remained unchanged and increased after IVHD (Fig. 3, C and D). As expected, decreased significantly after IVHD (Fig. 2E). DL and A-aPo2 did not change (Fig. 3, F and G). Peak power output was not different between EE pre- and EE post-IVHD groups (138.0 ± 12.3 vs. 140.5 ± 13.1 W, P = 0.36).
Peak Q̇t, SV, HR, and O2 transport from arterial blood to muscle.
Peak Q̇t increased slightly but significantly after IVHD (Fig. 3A). However, peak Q̇o2 decreased in EE post-IVHD (Fig. 3B) because of the larger reduction in [Hb] than rise in Q̇t. SV increased slightly (1.3 ± 0.3 vs. 1.4 ± 0.3 mL/kg, P = 0.13) and HR remained not different after IVHD (153 ± 19 vs. 155 ± 20 beats/min, P = 0.60). and at peak exercise showed a trend to decrease after IVHD (Fig. 3, C and D), whereas decreased significantly (Fig. 3E). DM remained unchanged, whereas O2 extraction increased after hematocrit reduction (Fig. 3, F and G).
Acid-base status.
at peak exercise remained unaltered after IVHD, whereas pHa increased to non-EE values (Fig. 4, A and B). pHv and tended to decrease after IVHD (Fig. 4, C and D), whereas BE and [lactate]a remained statistically not different to pre-IVHD values (Fig. 4, E and F).
Non-EE versus EE post-IVHD.
Peak V̇o2 and O2 transport from air to arterial blood.
There were no differences between non-EE and EE post-IVHD in peak V̇o2 or V̇e (Fig. 2, A and B). , , and were also similar between groups (Fig. 2, C–E). Dl and A-aPo2 were similar between groups (Fig. 2, F and G). Peak power output was not different between non-EE and EE post-IVHD groups (150.4 ± 13.4 vs. 140.5 ± 13.1 W, P = 0.19).
Peak Q̇t, SV, HR, and O2 transport from arterial blood to muscle.
After IVHD, peak Q̇t increased in highlanders with EE matching non-EE values (Fig. 3A), whereas peak Q̇o2 was slightly diminished (Fig. 3B). SV was not different in participants without EE and those of the EE group post-IVHD (1.60 ± 0.32 vs. 1.40 ± 0.32 mL/kg, respectively, P = 0.26) in the same way as HR (165 ± 10 vs. 155 ± 20 beats/min, respectively, P = 0.26). , , , Dm, and O2 extraction were not different between groups (Fig. 3, C–G, respectively).
Acid-base status.
After IVHD, remained not different in the EE compared with the non-EE group (Fig. 4A), whereas decreased to match non-EE values (Fig. 4C). pHa, pHv, BE, and [lactate]a at peak exercise were not different in EE compared with non-EE values (Fig. 4, B, D, E, and F, respectively).
In summary, our results show that V̇o2, V̇e, and pulmonary gas exchange at peak exercise were not different in highlanders with and without EE and were unaffected after IVHD despite lower and Q̇o2 due to reduced [Hb] (Fig. 2). Peak Q̇t was lower in EE compared with non-EE highlanders and improved after IVHD. Although Q̇o2 decreased due to lower [Hb], this was balanced by higher O2 extraction, sustaining peak V̇o2 as shown in Fig. 3 Acid-base status and lactate concentration showed marginal or no differences between groups at peak exercise and were minimally affected by IVHD (Fig. 4).
Individual associations between O2 transport variables.
Pre-IVHD arterial [Hb] correlated inversely with peak Q̇t (r = −0.60, p = 0.02) but showed no correlation with peak V̇o2, V̇e, DL, A-aPo2, Dm, BE, , nor . [Hb] did not correlate with any variable after IVHD.
Before and after IVHD, peak V̇o2 showed a positive and strong association with peak Dl, Q̇t, and Dm (Fig. 5), but not with V̇e, A-aPo2, BE, , , nor age. Similarly, V̇o2 did not correlate with BV nor its components (PV or total RBC volume) in our sample.
Figure 5.
Components of oxygen transport associated with exercise capacity. Significant associations were observed between Q̇t (A, P < 0.0001), Dl (B, P < 0.05), and Dm (C, P < 0.001) with peak V̇o2. All variables measured at peak exercise and corrected by body weight. All male participants, non-EE (n = 8), EE (n = 6). CMS, chronic mountain sickness; EE, excessive erythrocytosis.
Among the significant associations between measured O2 transport variables, the slopes of the relationship between V̇o2 and Q̇t in non-EE and EE pre- and post-IVHD groups during the progression to peak exercise illustrate a slight improvement in Q̇t post-IVHD. The slope of the relationship is lower in participants with EE before IVHD relative to those without (4.2 ± 0.9 vs. 6.0 ± 1.0, P = 0.001) and tended to increase after IVHD, whereby it is no longer different compared with the non-EE group slope (5.2 ± 1.2 vs. 6.0 ± 1.0, P = 0.14) (see appendix).
Multivariate Analysis of V̇o2 and O2 Transport Variables at Peak Exercise
Each of the univariate significant predictors (Dl, Q̇t, Dm) of peak V̇o2 was tested and included in multivariate regression models. Dl and Dm (which did not exhibit a significant correlation with each other across participants) explained the majority of variation in peak V̇o2, whereas Q̇T did not explain any of the variation in peak V̇o2 (Table 3).
Table 3.
Multivariate linear regression models for V̇o2Peak
| Independent Variable* | Coefficient of Regression (β) | SE | P Value | Model R2 | Model P Value |
|---|---|---|---|---|---|
| Pre-IVHD | |||||
| Dl | 11.63 | 3.67 | 0.010 | 0.89 | <0.0001 |
| Q̇t | 9.89 | 14.92 | 0.52 | ||
| Dm | 12.50 | 2.76 | 0.001 | ||
| Intercept | 5.29 | 3.33 | 0.14 | ||
| Post-IVHD | |||||
| Dl | 12.60 | 4.83 | 0.026 | 0.91 | <0.0001 |
| Q̇t | 17.75 | 17.11 | 0.32 | ||
| Dm | 10.50 | 2.12 | 0.0006 | ||
| Intercept | 4.099 | 3.108 | 0.22 | ||
*All variables at peak exercise and corrected by body weight. IVHD, isovolumic hemodilution.
DISCUSSION
Our results show that at 4,340 m, Andean highlanders with EE have similar exercise capacity as their non-EE counterparts, and that peak V̇o2 is unaffected by IVHD in participants with EE, despite a significant reduction of arterial O2 concentration. In addition, the considerable variance in peak V̇o2 we noted across participants is not determined by the presence or absence of EE. Rather, we found that variance in peak V̇o2 was closely related to individual differences in lung and muscle diffusing capacity that drive the diffusive components of O2 transport.
Isovolumic Hemodilution
Before IVHD, PV was not different between groups, supporting the concept that higher hematocrits are mainly the result of larger RBC total volumes in Andeans (29). The degree of reduction of hematocrit and [Hb] sought in this study was similar to the average decrease obtained in the few previous IVHD studies. As expected, CMS symptoms resolved rapidly within 24–48 h after hemodilution without signs of improved systemic blood oxygenation at rest through pulse oximetry or direct measurement. Although alleviation of symptoms is a universal finding after hemodilution or bloodletting in CMS highlanders, and hence the most common management strategy for the syndrome, improved SpO2 or is not observed in all individuals (22–25). In a study of six CMS highlanders in La Paz, Bolivia (3,650 m), Manier et al. in their study showed that at rest, , , and A-aPo2 did not change significantly after IVHD. However, they did observe an increase in Q̇t and V̇e together with a slight but consistent improvement in V̇a/Q̇ mismatching, which could have resulted from the increase in blood flow perfusing poorly ventilated lung areas.
Our study confirms the findings of unchanged and does not show any modification in Q̇t nor V̇e at rest after IVHD. However, it should be noted that our post-IVHD measurements occurred ∼48 h after the procedure, whereas measurements in the aforementioned study took place on the same day. The study from La Paz suggested that the increase in Q̇t resulted from a fall in blood viscosity due to an effect in main venous stems where shear rates are low. The fall in resistance increased venous return and led to an increase in ventricular filling, stroke volume, and HR, causing a rise in Q̇t and a concomitant fall in pulmonary vascular resistance. A more recent study on IVHD in 11 CMS highlanders in Cerro de Pasco undergoing a similar reduction of hematocrit showed an increase in Q̇t and PASP measured 1 day after IVHD (26) with hematocrit and Q̇t remaining stable at 14 days. A progressive development of iron deficiency (indicated by a 66% reduction in ferritin) was accompanied by a further significant increase in PASP ∼25% from baseline. Although similar in timeframe, we did not observe any change in Q̇t at rest after 48 h in our study. Although we did observe a significant reduction of serum iron and ferritin, we cannot confirm an increase in pulmonary artery pressure (PAP) as this was not measured. However, we cannot rule out a possible PAP-mediated limitation/restraint of further increase in peak Q̇t after IVHD, which might have required more than a modest increase to improve peak V̇o2 significantly.
Exercise Capacity, Cardiac Output, Lung and Muscle Diffusing Capacity
The similarity of peak V̇o2 in highlanders with excessive and nonexcessive high-altitude hematocrits suggests a counterbalancing effect of elevated hematocrit and [Hb] on exercise capacity at altitude, whereby the gains in afforded by the higher [Hb] in EE are offset by reductions in another step of the O2 transport cascade, in this case, Q̇t, such that arterial O2 delivery at peak exercise remained equal to that in participants without EE. In addition, some Andean highlanders with EE appear to have a well-adapted vascular phenotype (large arteries to normalize shear stress, and tight adrenergic control of the expanded vasculature) (48) that might counteract increased blood volume and viscosity. Similarly, the preserved peak V̇o2 (either absolute or corrected by body weight) after IVHD was also the result of counterbalancing effects of different steps of the O2 pathway—here a decrease in Q̇o2 balanced by an increase in O2 extraction. To better understand these counterbalancing effects, it is necessary to explore not just the differences among groups in each step, but also the interactions among the different steps by analyzing each of these through a systems approach.
Non-EE versus EE pre-IVHD.
Our step-by-step O2 transport analysis indicates that before IVHD, highlanders with EE had similar V̇e, , , lower Q̇t but sustained peak V̇o2 due to increased [Hb], , and hence similar Q̇o2 compared with participants without EE (Table 2). In terms of the compound constant D/(β·Q̇t), highlanders with and without EE sustain diffusional conductance in lungs and muscle and attain similar peak V̇o2 by counterbalancing the product β·Q̇t. Both groups have similar Dl and Dm values (Fig. 2F and Fig. 3F); however, participants without EE have lower β due to lower [Hb] and higher Q̇t, whereas highlanders with EE have higher β and lower Q̇t. This results in similar O2 diffusion between alveolar gas and capillary blood in the lungs and between muscle microcirculatory vessels and the mitochondria, as indicated by similar A-aPo2 and O2 extraction among groups (Fig. 2G and Fig. 3G). This similarity indicates that the slightly lower P50 STD in highlanders with EE did not contribute significantly to facilitate O2 uptake in the lung capillaries or hinder O2 extraction in muscle.
EE pre-IVHD versus EE post-IVHD.
After IVHD, although the reduction in [Hb] should have affected O2 diffusion both in lungs and muscle, our results show that peak V̇o2 in the EE group is mainly maintained by an increase in the ability to move O2 by diffusion between microcirculatory vessels and muscle, and not between alveolar gas and capillary blood in the lungs (as indicated by an unchanged A-aPo2, Fig. 2G), but due to a greater post-IVHD O2 extraction (Fig. 3G). The significant reduction in [Hb], and hence in β, might have completely offset the impact of the slight increase in Q̇t in the compound constant. Despite post-IVHD iron depletion and its potential effect in having increased PAP and affected pulmonary capillary blood volume during our study, we found similar Dl values in participants without and with EE before hemodilution, with similar iron and ferritin values, and after hemodilution with significant iron depletion. Thus, we consider it unlikely that iron depletion could have affected pulmonary O2 diffusion.
Given that Dl and Dm remained unchanged after IVHD (Fig. 2F and Fig. 3F), the differential effect on diffusional conductance in lungs and muscle might be explained by a slightly increased vasoconstrictor effect (31) which restrains vasodilation within the active skeletal muscle slowing down local blood flow [further increasing Dm/(β·Q̇t)] and allowing more time for diffusional unloading of O2, thus contributing to sustain aerobic capacity (48).
The slightly reduced arterial [lactate] at peak effort after IVHD supports the idea of improved aerobic metabolism due to improved O2 diffusion and increased O2 extraction. Increased O2 extraction is also reflected in the slight reduction in the face of unchanged . Surprisingly, although was similar to the pre-IVHD condition, increased at peak exercise after IVHD possibly as a consequence of a relative metabolic alkalosis that causes a left shift of the O2-Hb dissociation curve. It is possible that the colloid plasma-replacement substance may have caused a transient increase in strong-ion difference resulting in the observed relative metabolic alkalosis (49). Although we did not measure renal function, the maintenance of this relative alkalosis could have been influenced by kidney hypoperfusion due to the slight BV reduction compared with the pre-IVHD condition. Due to the increase in plasma volume after IVHD, we can rule out increased bicarbonate concentration due to a contracted extracellular fluid compartment (50, 51). Although we observed a drop in body weight, which has been previously associated to increased diuresis after IVHD due to increased renal blood flow, effective plasma flow, or filtration fraction (22), we believe that this reduction could also relate to the dramatic decrease in total RBC mass. Considering an average decrease of 30 mL/kg in RBC mass from the pre- to the post-IVHD condition, and taking into account the specific gravity of a volume of RBCs (1.11 g/ml (52), the reduction of RBC mass results in 33.3 g RBCs/kg. If we consider the average body weight of participants, the total decrease of RBC mass is ∼2.4 kg, which is comparable with the observed decrease in average body weight. Unfortunately, we cannot determine the direct cause of body weight since we did not measure daily water intake nor water excretion.
Finally, the slightly higher P50 STD after IVHD may be also a small contributing factor to the higher O2 extraction. In terms of the Dm/(β·Q̇t) constant, an increase in P50 (right shift of the O2-Hb dissociation curve) has the effect of making β smaller, increasing Dm/(β·Q̇t), and improving extraction. However, any small effect of higher P50 STD on O2 transport would have been offset by a greater effect of the relative metabolic alkalosis, so the net result was still a leftward shift of the curve.
Non-EE versus EE post-IVHD.
After IVHD, the participants with EE maintained similar peak V̇o2 compared with those without (Fig. 2A), and most variables that were different in the group with EE before IVHD turned similar to non-EE after hematocrit reduction. Q̇t increased slightly (Fig. 3A) and [Hb] decreased to non-EE levels (Fig. 1E), which in terms of the compound constant D/(β·Q̇) would have equalized O2 diffusion at the lungs and muscle given the similarity on Dl and Dm between groups (Fig. 2F and Fig. 3F). We observed no difference in the A-aPo2 and, although after IVHD Q̇o2 was slightly reduced in EE compared with non-EE (Fig. 3B), the trends for lower , (at similar pHv, Fig. 3, C and D, and Fig. 4D, respectively) and higher O2 extraction indicate that peak V̇o2 is mainly maintained by O2 diffusion at the working muscle level.
Causes of Variance in Peak V̇o2 across Participants
Despite no differences in peak V̇o2 between non-EE and EE groups, either before or after IVHD, findings which answer our primary question in this study, there was considerable (not quite twofold) variation in peak V̇o2 across all participants which was unrelated to age or [Hb] in our sample. We therefore sought to determine whether this variance could be explained by one or more steps in the O2 transport pathway and approached this by multivariate linear regression analysis.
First, univariate regressions across all participants (with and without EE) showed significant positive correlations between peak V̇o2 and peak Q̇t, Dl, and Dm. Second, multivariate analysis showed significant contributions only from Dl and Dm, suggesting that, independently of Q̇t, differences in diffusing capacities of the lung and muscle are the main determinants of variance in aerobic capacity in Andean men at altitude, whether they have EE or not (Table 3).
That the two diffusive steps of the O2 pathway are the main determinants of variation in peak V̇o2 at altitude makes inherent sense because the convective steps involving ventilation and cardiac function are not diminished but, on the contrary, unaffected or enhanced by altitude. This has been shown even when hypoxia is as extreme as that found on the Everest summit (53–55). However, the diffusive movement of O2, both from alveolar gas into blood and from blood to muscle mitochondria, is the product of the relevant diffusing capacities and the Po2 gradient in each location. Altitude clearly lowers the Po2 gradients in both lung and muscle, making diffusive movement of O2 more dependent on values for Dm and Dl.
Limitations
One limitation of our study is that all participants were adult males, generally of middle age, and thus results and conclusions should therefore be limited to the sex and age group included. Also, we cannot rule out a possible effect of variance in the number of years participants had EE and thus had been exposed to an excessive hematocrit before our study. The longer an individual lives with an excessive hematocrit, the greater is the potential for vascular and hemodynamic impact/damage, which perhaps cannot be reversed acutely with hemodilution. Unfortunately, it was not possible to obtain precise information regarding the length of exposure to EE of our participants. We believe that these limitations do not invalidate the conclusions of our study since logically consistent differences in each O2 transport variable assessed were observed between groups despite using a battery of independent measurements (expired gas analysis, impedance cardiography, and arterial blood sampling). Moreover, each participant with EE was his own control (comparing pre-IVHD with post-IVHD states), and the results were consistent in each of them. Also, although only ∼90% of V̇o2 at peak exercise is attributable to working muscle, the conclusions made from measured or calculated whole body variables (which use whole body V̇o2 measured from expired gas analysis to reflect the working muscles) maintain validity based on the same data treatment for each group and also on the criteria of differences between groups, rather than in absolute numbers.
A possible additional limitation to our study is the contribution of age to the variation in peak V̇o2. Analysis of pooled data from our study and two different studies in male highlanders from Cerro de Pasco in the age range 24–64 yr (30, 56) shows a weak but significant correlation between peak V̇o2 and age (r = 0.33, P < 0.05, n = 43). Although we did not observe this association in our sample, possibly due the reduced number of participants, age was not an intrastudy determinant of peak V̇o2 neither in the non-EE nor the EE group both pre- or post-IVHD (either separate or combined), and thus can be considered as a uniform variable. Also, older participants did not show greater or lesser improvement of peak V̇o2 after IVHD.
Although we cannot rule out a possible limitation of increase in peak V̇o2 after IVHD due to the slight decrease in BV (allowing further increase in Q̇t), we consider that the post-IVHD preservation of peak V̇o2 despite the dramatic decrease in remains the key finding of our study maintaining exercise capacity similar to that observed in healthy highlanders. Finally, the drop in body weight could be considered as a potential source of variation of peak V̇o2 and in the interpretation of results. However, we found no difference in the absolute peak V̇o2 measurements (mL·min−1) after IVHD, and if any, the effect of body weight reduction would have resulted in an increase in relative peak V̇o2 (mL·min−1·kg−1), which we did not observe in any case.
Conclusions
In conclusion, we find that when tested at their resident altitude of 4,340 m, Andean men with EE have the same exercise capacity as male Andeans of the same age without EE. This is explained by lower Q̇t balancing the higher arterial [O2], equalizing systemic O2 delivery, combined with similar O2 extraction. Furthermore, we find that acute reduction in hematocrit by 20% using isovolumic hemodilution does not alter peak exercise capacity, despite reducing arterial O2 concentration and systemic O2 delivery. Here, peak V̇o2 is preserved by greater O2 extraction. Despite group similarities in peak V̇o2, there is an almost twofold variance in exercise capacity across all participants. This was explained essentially completely by differences in both pulmonary and muscle O2 diffusional conductances and not by any differences in pulmonary ventilation, [Hb], nor Q̇t.
GRANTS
F.C.V. is supported by a Wellcome Trust grant 107544/Z/15/Z. T.S.S. is supported by the National Institutes of Health R01HL145470, the National Geographic Society Explorer Award, and the John B. West Endowed Chair in Respiratory Physiology.
DISCLOSURES
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AUTHOR CONTRIBUTIONS
P.D.W., T.S.S., and F.C.V. conceived and designed research; C.A.-R., J.L.M., R.J.F.-M, G.A.V.-G., E.C.H., M.S.T., H.E.W., P.D.W., T.S.S., and F.C.V. performed experiments; C.A.-R., W.G., R.J.F.-M., G.A.V.-G., P.D.W., T.S.S., and F.C.V. analyzed data; W.G., P.D.W., T.S.S., and F.C.V. interpreted results of experiments; W.G. and F.C.V. prepared figures; P.D.W., T.S.S., and F.C.V. drafted manuscript; C.A.-R., W.G., J.L.M., R.J.F.-M., G.A.V.-G., E.C.H., M.T., H.E.W., P.D.W., T.S.S., and F.C.V. edited and revised manuscript; C.A.-R., W.G., J.L.M., R.J.F.-M., G.A.V.-G., E.C.H., M.T., H.E.W., P.D.W., T.S.S., and F.C.V. approved final version of manuscript.
ACKNOWLEDGMENTS
The authors thank Gianfranco Aicardi and Fidel Barandiarán for administrative and logistic support. Graphical abstract image created with BioRender and published with permission.
APPENDIX
The classic study from Astrand and collaborators from 1964 (43) used the dye (indocyanine green) dilution technique to estimate Q̇t. Our Q̇t data obtained using impedance cardiography (IC) from participants without EE superimposes almost perfectly to the Astrand et al. study (Fig. A1), whereas participants with EE show slightly lower values for Q̇t at any exercise intensity that might result from the effect of increased blood viscosity in main venous stems, and slightly decreased venous return, decreased ventricular filling, and SV.
Figure A1.
Relationship between Q̇t and V̇o2 at rest and during the different stages of incremental exercise. A: Q̇t and V̇o2 showed a strong positive correlation in the three groups throughout incremental exercise. The regression slope was shallower in the group with EE compared with the group without EE. After IVHD, the slopes were no longer different due a steepening of the slope in the group with EE. Differences between the slopes of the three regressions were assessed by ANOVA. Significance established at P < 0.05; non-EE vs. EE pre: P = 0.001, EE pre vs. EE post: P = 0.14, non-EE vs. EE post: P = 0.14. All male participants, non-EE (n = 8), EE (n = 6). B shows how values from all three groups overlay with data obtained from the classic study by Astrand et al. (43). Our measurements in participants without EE agree well with the data from Astrand et al., whereas measurements in participants with EE show slightly lower values for Q̇t at any exercise intensity before IVHD, returning to the Astrand relationship after IVHD. EE, excessive erythrocytosis; IVHD, isovolumic hemodilution.
REFERENCES
- 1. Beall CM. Andean, Tibetan, and Ethiopian patterns of adaptation to high-altitude hypoxia. Integr Comp Biol 46: 18–24, 2006. doi: 10.1093/icb/icj004. [DOI] [PubMed] [Google Scholar]
- 2. Moore LG. Measuring high-altitude adaptation. J Appl Physiol (1985) 123: 1371–1385, 2017. doi: 10.1152/japplphysiol.00321.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Simonson TS. Altitude adaptation: a glimpse through various lenses. High Alt Med Biol 16: 125–137, 2015. doi: 10.1089/ham.2015.0033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Beall CM, Decker MJ, Brittenham GM, Kushner I, Gebremedhin A, Strohl KP. An Ethiopian pattern of human adaptation to high-altitude hypoxia. Proc Natl Acad Sci USA 99: 17215–17218, 2002. doi: 10.1073/pnas.252649199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. León-Velarde F, Maggiorini M, Reeves JT, Aldashev A, Asmus I, Bernardi L, Ge RL, Hackett P, Kobayashi T, Moore LG, Penaloza D, Richalet JP, Roach R, Wu T, Vargas E, Zubieta-Castillo G, Zubieta-Calleja G. Consensus statement on chronic and subacute high altitude diseases. High Alt Med Biol 6: 147–157, 2005. doi: 10.1089/ham.2005.6.147. [DOI] [PubMed] [Google Scholar]
- 6. Villafuerte FC, Corante N. Chronic mountain sickness: clinical aspects, etiology, management, and treatment. High Alt Med Biol 17: 61–69, 2016. doi: 10.1089/ham.2016.0031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Penaloza D, Arias-Stella J. The heart and pulmonary circulation at high altitudes: healthy highlanders and chronic mountain sickness. Circulation 115: 1132–1146, 2007. doi: 10.1161/CIRCULATIONAHA.106.624544. [DOI] [PubMed] [Google Scholar]
- 8. Bilo G, Acone L, Anza-Ramírez C, Macarlupú JL, Soranna D, Zambon A, Vizcardo-Galindo G, Pengo MF, Villafuerte FC, Parati G; HIGHCARE-ANDES Highlanders Study Investigators. Office and ambulatory arterial hypertension in highlanders: HIGHCARE-ANDES Highlanders Study. Hypertension 76: 1962–1970, 2020. doi: 10.1161/HYPERTENSIONAHA.120.16010. [DOI] [PubMed] [Google Scholar]
- 9. Corante N, Anza-Ramírez C, Figueroa-Mujica R, Macarlupú JL, Vizcardo-Galindo G, Bilo G, Parati G, Gamboa JL, León-Velarde F, Villafuerte FC. Excessive erythrocytosis and cardiovascular risk in Andean highlanders. High Alt Med Biol 19: 221–231, 2018. doi: 10.1089/ham.2017.0123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. De Ferrari A, Miranda JJ, Gilman RH, Dávila-Román VG, León-Velarde F, Rivera-Ch M, Huicho L, Bernabé-Ortiz A, Wise RA, Checkley W. Prevalence, clinical profile, iron status, and subject-specific traits for excessive erythrocytosis in Andean adults living permanently at 3825 meters above sea level. Chest 146: 1327–1336, 2014. doi: 10.1378/chest.14-0298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Gonzales GF, Tapia V. [Association of high altitude-induced hypoxemia to lipid profile and glycemia in men and women living at 4,100 m in the Peruvian Central Andes]. Endocrinol Nutr 60: 79–86, 2013. doi: 10.1016/j.endonu.2012.06.002. [DOI] [PubMed] [Google Scholar]
- 12. Jefferson JA, Escudero E, Hurtado ME, Kelly JP, Swenson ER, Wener MH, Burnier M, Maillard M, Schreiner GF, Schoene RB, Hurtado A, Johnson RJ. Hyperuricemia, hypertension, and proteinuria associated with high-altitude polycythemia. Am J Kidney Dis 39: 1135–1142, 2002. doi: 10.1053/ajkd.2002.33380. [DOI] [PubMed] [Google Scholar]
- 13. Okumiya K, Sakamoto R, Fukutomi E, Kimura Y, Ishimoto Y, Chen WL, Ishikawa M, Hozo R, Otsuka K, Matsubayashi K, Wada T, Inamura T, Lazo M, Lu JP, Garcia PJ. Strong association between polycythemia and glucose intolerance in older adults living at high altitudes in the Andes. J Am Geriatr Soc 59: 1971–1973, 2011. doi: 10.1111/j.1532-5415.2011.03610_8.x. [DOI] [PubMed] [Google Scholar]
- 14. Okumiya K, Sakamoto R, Kimura Y, Ishimoto Y, Wada T, Ishine M, Ishikawa M, Nakajima S, Hozo R, Ge RL, Norboo T, Otsuka K, Matsubayashi K. Strong association between polycythemia and glucose intolerance in elderly high-altitude dwellers in Asia. J Am Geriatr Soc 58: 609–611, 2010. doi: 10.1111/j.1532-5415.2010.02753.x. [DOI] [PubMed] [Google Scholar]
- 15. Azad P, Villafuerte FC, Bermudez D, Patel G, Haddad GG. Protective role of estrogen against excessive erythrocytosis in Monge’s disease. Exp Mol Med 53: 125–135, 2021. doi: 10.1038/s12276-020-00550-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Azad P, Zhao HW, Cabrales PJ, Ronen R, Zhou D, Poulsen O, Appenzeller O, Hsiao YH, Bafna V, Haddad GG. Senp1 drives hypoxia-induced polycythemia via GATA1 and Bcl-xL in subjects with Monge’s disease. J Exp Med 213: 2729–2744, 2016. doi: 10.1084/jem.20151920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Bermudez D, Azad P, Figueroa-Mujíca R, Vizcardo-Galindo G, Corante N, Guerra-Giraldez C, Haddad GG, Villafuerte FC. Increased hypoxic proliferative response and gene expression in erythroid progenitor cells of Andean highlanders with chronic mountain sickness. Am J Physiol Regul Integr Comp Physiol 318: R49–R56, 2020. doi: 10.1152/ajpregu.00250.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Zhou D, Udpa N, Ronen R, Stobdan T, Liang J, Appenzeller O, Zhao HW, Yin Y, Du Y, Guo L, Cao R, Wang Y, Jin X, Huang C, Jia W, Cao D, Guo G, Gamboa JL, Villafuerte F, Callacondo D, Xue J, Liu S, Frazer KA, Li Y, Bafna V, Haddad GG. Whole-genome sequencing uncovers the genetic basis of chronic mountain sickness in Andean highlanders. Am J Hum Genet 93: 452–462, 2013. doi: 10.1016/j.ajhg.2013.07.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Cole AM, Petousi N, Cavalleri GL, Robbins PA. Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness. High Alt Med Biol 15: 497–499, 2014. doi: 10.1089/ham.2014.1036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Azad P, Stobdan T, Zhou D, Hartley I, Akbari A, Bafna V, Haddad GG. High-altitude adaptation in humans: from genomics to integrative physiology. J Mol Med (Berl) 95: 1269–1282, 2017. doi: 10.1007/s00109-017-1584-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Villafuerte FC, Simonson TS, Bermudez D, León-Velarde F. High-altitude erythrocytosis: mechanisms of adaptive and maladaptive responses. Physiology (Bethesda) 37: 175–186, 2022. doi: 10.1152/physiol.00029.2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Klein H. Isovolemic hemodilution in high-altitude polycythemia. In: Adjustment to High Altitude: Proceedings of the International Symposium on Acclimatization, Adaptation, and Tolerance to High Altitude. Bethesda, MD: US Department of Health and Human Services, Public Health Service, National Institutes of Health, 1983, p. 47–51. [Google Scholar]
- 23. Winslow R, Monge-C C. Hypoxia, Polycythemia, and Chronic Mountain Sickness. Baltimore, MD: Johns Hopkins University Press, 1987. [Google Scholar]
- 24. Winslow RM, Monge CC, Brown EG, Klein HG, Sarnquist F, Winslow NJ, McKneally SS. Effects of hemodilution on O2 transport in high-altitude polycythemia. J Appl Physiol (1985) 59: 1495–1502, 1985. doi: 10.1152/jappl.1985.59.5.1495. [DOI] [PubMed] [Google Scholar]
- 25. Manier G, Guenard H, Castaing Y, Varene N, Vargas E. Pulmonary gas exchange in Andean natives with excessive polycythemia-effect of hemodilution. J Appl Physiol (1985) 65: 2107–2117, 1988. doi: 10.1152/jappl.1988.65.5.2107. [DOI] [PubMed] [Google Scholar]
- 26. Smith TG, Talbot NP, Privat C, Rivera-Ch M, Nickol AH, Ratcliffe PJ, Dorrington KL, León-Velarde F, Robbins PA. Effects of iron supplementation and depletion on hypoxic pulmonary hypertension: two randomized controlled trials. JAMA 302: 1444–1450, 2009. doi: 10.1001/jama.2009.1404. [DOI] [PubMed] [Google Scholar]
- 27. Tremblay JC, Hoiland RL, Howe CA, Coombs GB, Vizcardo-Galindo GA, Figueroa-Mujíca RJ, Bermudez D, Gibbons TD, Stacey BS, Bailey DM, Tymko MM, MacLeod DB, Gasho C, Villafuerte FC, Pyke KE, Ainslie PN. Global REACH 2018: high blood viscosity and hemoglobin concentration contribute to reduced flow-mediated dilation in high-altitude excessive erythrocytosis. Hypertension 73: 1327–1335, 2019. doi: 10.1161/HYPERTENSIONAHA.119.12780. [DOI] [PubMed] [Google Scholar]
- 28. Simonson TS, Wei G, Wagner HE, Wuren T, Qin G, Yan M, Wagner PD, Ge RL. Low haemoglobin concentration in Tibetan males is associated with greater high-altitude exercise capacity. J Physiol 593: 3207–3218, 2015. [Erratum in J Physiol 594: 797, 2016]. doi: 10.1113/JP270518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Stembridge M, Williams AM, Gasho C, Dawkins TG, Drane A, Villafuerte FC, Levine BD, Shave R, Ainslie PN. The overlooked significance of plasma volume for successful adaptation to high altitude in Sherpa and Andean natives. Proc Natl Acad Sci USA 116: 16177–16179, 2019. doi: 10.1073/pnas.1909002116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Groepenhoff H, Overbeek MJ, Mulè M, van der Plas M, Argiento P, Villafuerte FC, Beloka S, Faoro V, Macarlupu JL, Guenard H, de Bisschop C, Martinot JB, Vanderpool R, Penaloza D, Naeije R. Exercise pathophysiology in patients with chronic mountain sickness exercise in chronic mountain sickness. Chest 142: 877–884, 2012. doi: 10.1378/chest.11-2845. [DOI] [PubMed] [Google Scholar]
- 31. Hansen AB, Amin SB, Hofstätter F, Mugele H, Simpson LL, Gasho C, Dawkins TG, Tymko MM, Ainslie PN, Villafuerte FC, Hearon CM Jr, Lawley JS, Moralez G. Global Reach 2018: Sympathetic neural and hemodynamic responses to submaximal exercise in Andeans with and without chronic mountain sickness. Am J Physiol Heart Circ Physiol 322: H844–H856, 2022. doi: 10.1152/ajpheart.00555.2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Piiper J, Scheid P. Model for capillary-alveolar equilibration with special reference to O2 uptake in hypoxia. Respir Physiol 46: 193–208, 1981. doi: 10.1016/0034-5687(81)90121-3. [DOI] [PubMed] [Google Scholar]
- 33. Wagner PD. A theoretical analysis of factors determining VO2 MAX at sea level and altitude. Respir Physiol 106: 329–343, 1996. doi: 10.1016/S0034-5687(96)00086-2. [DOI] [PubMed] [Google Scholar]
- 34. Wagner PD. Determinants of maximal oxygen transport and utilization. Annu Rev Physiol 58: 21–50, 1996. doi: 10.1146/annurev.ph.58.030196.000321. [DOI] [PubMed] [Google Scholar]
- 35. León-Velarde F, Ramos MA, Hernández JA, De Idiáquez D, Muñoz LS, Gaffo A, Córdova S, Durand D, Monge C. The role of menopause in the development of chronic mountain sickness. Am J Physiol Regul Integr Comp Physiol 272: R90–R94, 1997. doi: 10.1152/ajpregu.1997.272.1.R90. [DOI] [PubMed] [Google Scholar]
- 36. León-Velarde F, Rivera-Chira M, Tapia R, Huicho L, Monge CC. Relationship of ovarian hormones to hypoxemia in women residents of 4,300 m. Am J Physiol Regul Integr Comp Physiol 280: R488–R493, 2001. doi: 10.1152/ajpregu.2001.280.2.R488. [DOI] [PubMed] [Google Scholar]
- 37. Verdecchia P, Angeli F, Poeta F, Reboldi GP, Borgioni C, Pittavini L, Porcellati C. Validation of the A&D UA-774 (UA-767Plus) device for self-measurement of blood pressure. Blood Press Monit 9: 225–229, 2004. doi: 10.1097/00126097-200408000-00008. [DOI] [PubMed] [Google Scholar]
- 38. Jacob M, Conzen P, Finsterer U, Krafft A, Becker BF, Rehm M. Technical and physiological background of plasma volume measurement with indocyanine green: a clarification of misunderstandings. J Appl Physiol (1985) 102: 1235–1242, 2007. doi: 10.1152/japplphysiol.00740.2006. [DOI] [PubMed] [Google Scholar]
- 39. Gross JB. Estimating allowable blood loss: corrected for dilution. Anesthesiology 58: 277–280, 1983. doi: 10.1097/00000542-198303000-00016. [DOI] [PubMed] [Google Scholar]
- 40. Davies MJ. Polygeline. Dev Biol Stand 67: 129–131, 1987. [PubMed] [Google Scholar]
- 41. Singh A, Ali S, Shetty R. Effectiveness and safety of polygeline in patients with hypovolemia due to trauma. J Emerg Trauma Shock 10: 116–120, 2017. doi: 10.4103/JETS.JETS_120_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.American Thoracic Society, American College of Chest Physicians. ATS/ACCP Statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med 167: 211–277, 2003. [Erratum in Am J Respir Crit Care Med 1451–1452, 2003]. doi: 10.1164/rccm.167.2.211. [DOI] [PubMed] [Google Scholar]
- 43. Astrand PO, Cuddy TE, Saltin B, Stenberg J. Cardiac output during submaximal and maximal work. J Appl Physiol 19: 268–274, 1964. doi: 10.1152/jappl.1964.19.2.268. [DOI] [PubMed] [Google Scholar]
- 44. Simonson TS, Wei G, Wagner HE, Wuren T, Bui A, Fine JM, Qin G, Beltrami FG, Yan M, Wagner PD, Ge RL. Increased blood-oxygen binding affinity in Tibetan and Han Chinese residents at 4200 m. Exp Physiol 99: 1624–1635, 2014. doi: 10.1113/expphysiol.2014.080820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Wagner PD, West JB. Effects of diffusion impairment on O2 and CO2 time courses in pulmonary capillaries. J Appl Physiol 33: 62–71, 1972. doi: 10.1152/jappl.1972.33.1.62. [DOI] [PubMed] [Google Scholar]
- 46. Kelman GR. Digital computer subroutine for the conversion of oxygen tension into saturation. J Appl Physiol 21: 1375–1376, 1966. doi: 10.1152/jappl.1966.21.4.1375. [DOI] [PubMed] [Google Scholar]
- 47. Kelman GR. Digital computer procedure for the conversion of PCO2 into blood CO2 content. Respir Physiol 3: 111–115, 1967. doi: 10.1016/0034-5687(67)90028-X. [DOI] [PubMed] [Google Scholar]
- 48. Hansen AB, Moralez G, Amin SB, Simspon LL, Hofstaetter F, Anholm JD, Gasho C, Stembridge M, Dawkins TG, Tymko MM, Ainslie PN, Villafuerte F, Romero SA, Hearon CM Jr., Lawley JS. Global Reach 2018: the adaptive phenotype to life with chronic mountain sickness and polycythaemia. J Physiol 599: 4021–4044, 2021. doi: 10.1113/JP281730. [DOI] [PubMed] [Google Scholar]
- 49. Eckstein D, Corey HE, Metabolic alkalosis. In: Critical Care Nephrology (3rd ed.), edited by Ronco C, Bellomo R, Kellum JA, Ricci Z.. Philadelphia, PA: Elsevier; 2019, p. 409–410. [Google Scholar]
- 50. Faridi AB, Weisberg L. Acid-base, electrolyte, and metabolic abnormalities. In: Critical Care Medicine. Principles of Diagnosis and Management in the Adult (3rd ed.), edited by Parillo JE, Dellinger RP.. St. Louis, MO: Mosby, 2008, p. 1203–1243. [Google Scholar]
- 51. Singh AK. Metabolic alkalosis. In: Decision Making in Medicine: An Algorithmic Approach (3rd ed.), edited by Mushlin SB, Greene HL II.. Philadelphia, PA: Mosby Elsevier, 2009, p. 374–375. [Google Scholar]
- 52. Norouzi N, Bhakta HC, Grover WH. Sorting cells by their density. PLoS One 12: e0180520, 2017. doi: 10.1371/journal.pone.0180520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Groves BM, Reeves JT, Sutton JR, Wagner PD, Cymerman A, Malconian MK, Rock PB, Young PM, Houston CS. Operation Everest II: elevated high-altitude pulmonary resistance unresponsive to oxygen. J Appl Physiol (1985) 63: 521–530, 1987. doi: 10.1152/jappl.1987.63.2.521. [DOI] [PubMed] [Google Scholar]
- 54. Reeves JT, Groves BM, Sutton JR, Wagner PD, Cymerman A, Malconian MK, Rock PB, Young PM, Houston CS. Operation Everest II: preservation of cardiac function at extreme altitude. J Appl Physiol (1985) 63: 531–539, 1987. doi: 10.1152/jappl.1987.63.2.531. [DOI] [PubMed] [Google Scholar]
- 55. Sutton JR, Reeves JT, Wagner PD, Groves BM, Cymerman A, Malconian MK, Rock PB, Young PM, Walter SD, Houston CS. Operation Everest II: oxygen transport during exercise at extreme simulated altitude. J Appl Physiol (1985) 64: 1309–1321, 1988. doi: 10.1152/jappl.1988.64.4.1309. [DOI] [PubMed] [Google Scholar]
- 56. Macarlupú JL, Vizcardo-Galindo G, Figueroa-Mujíca R, Voituron N, Richalet JP, Villafuerte FC. Sub-maximal aerobic exercise training reduces haematocrit and ameliorates symptoms in Andean highlanders with chronic mountain sickness. Exp Physiol 106: 2198–2209, 2021. doi: 10.1113/EP089975. [DOI] [PMC free article] [PubMed] [Google Scholar]






