scholarly journals The Complex Reality of VO2 Kinetics to Steady State: Reassessment of the Models Used to Quantify and Interpret VO2 Kinetics, Steady State, and Time to Steady State

Author(s):  
Craig R McNulty
Keyword(s):  
1984 ◽  
Vol 57 (5) ◽  
pp. 1545-1550 ◽  
Author(s):  
V. A. Convertino ◽  
D. J. Goldwater ◽  
H. Sandler

The purpose of this study was to determine the effects of bed-rest-induced deconditioning on changes in O2 uptake (VO2) kinetics, O2 deficit, steady-state VO2, and recovery VO2 during the performance of constant-load exercise. Five male subjects (36–40 yr) underwent 7 days of continuous bed rest (BR) in the head-down (-6 degrees) position. Two days before (pre) and the day after (post) BR each subject performed one submaximal exercise test in the supine and one in the upright position consisting of 5 min of rest, 5 min of cycle ergometer exercise at 700 kg.m/min, and 10 min of recovery from exercise. VO2 was measured continuously in all tests from 2-liter aliquot gas samples collected every 30 s. Following BR steady-state VO2 was unchanged in supine and upright exercise. In the supine position BR did not change total exercise VO2, O2 deficit, or total recovery VO2. However, compared with pre-BR, total exercise VO2 decreased (P less than 0.05) from 7.41 +/- 0.11 to 7.23 +/- 0.17 liters, O2 deficit increased (P less than 0.05) from 1.15 +/- 0.05 to 1.41 +/- 0.07 liters, and total recovery VO2 increased (P less than 0.05) from 5.17 +/- 0.11 to 5.47 +/- 0.17 liters during the post-BR upright test. Despite the ability to attain similar steady-state VO2 within 5 min, bed-rest-induced deconditioning resulted in a reduction of total VO2 capacity and an increase in the O2 deficit during submaximal constant-load exercise. This change in VO2 kinetics is found only with exercise in the upright rather than supine position implicating orthostatic mechanisms in the delayed response to submaximal exercise.


Author(s):  
Craig Ryan McNulty ◽  
Robert Andrew Robergs

Multiple-breath and multiple-trial averaging have been used extensively in research of oxygen uptake kinetics to steady-state. However, specific guidelines outlining correct levels of averaging have not been discussed. The aim of this study was to assess error differences using multiple-trial and multiple-breath averaging systems, and make recommendations for future VO2 kinetics research. Eight male subjects were recruited for this study. Following a maximal cycle test to ascertain each subject’s ventilation threshold, eight identical repetition cycling exercise bouts were administered. The bouts consisted of 6-minute at 85% of the subject’s ventilation threshold. Firstly, multiple-trial and multiple-breath data were processed using traditional methods. As well, data were fit using a mono-exponential model to derive tau. Data for all levels of multiple-trial and multiple-breath methods were compared to an 8-trial and 13-breath average, respectively. Reduction in error from the 3-trial average and a 3-breath average represented ∼68% and ∼70% of total error reduction, respectively. Tau tended to increase with increasing breath averaging and decrease with increasing trial averaging. There is negligible benefit to averaging more than 3 repeat trials in VO2 kinetics research. Breath averaging beyond 3-breaths artificially increases tau.


1995 ◽  
Vol 78 (6) ◽  
pp. 2228-2234 ◽  
Author(s):  
P. Palange ◽  
P. Galassetti ◽  
E. T. Mannix ◽  
M. O. Farber ◽  
F. Manfredi ◽  
...  

We evaluated the effect of supplemental O2 on energy metabolism of hypoxemic humans by measuring O2 uptake (VO2) kinetics and other cardiorespiratory parameters in nine male chronic obstructive pulmonary disease (COPD) patients and seven age-matched control subjects (on air and on 30% O2) at rest and during moderate cycle ergometer exercise. Heart rate, ventilation, VO2, CO2 output, respiratory exchange ratio, O2 cost of work, and work efficiency were measured with a computerized metabolic cart; O2 deficit and VO2 time courses were calculated. In COPD patients, 30% O2 breathing resulted in 1) reduction of O2 deficit (from 488 +/- 34 ml in air to 398 +/- 27 ml in O2; P < 0.05) and phase 2 VO2 time constant (from 116 +/- 13 s in air to 74 +/- 12 s in O2; P < 0.05); 2) a smaller steady-state increment in CO2 output than in room air (315 +/- 17 ml/min in O2 vs. 358 +/- 27 ml/min in air; P < 0.02), which resulted in a lower exercise respiratory exchange ratio (0.75 +/- 0.02 in O2 vs. 0.80 +/- 0.02 in air; P < 0.02); and 3) reduced steady-state ventilation (22.6 +/- 1.0 l/min in O2 vs. 25.4 +/- 1.1 l/min in air; P < 0.05). In conclusion, 30% O2 breathing accelerated exercise VO2 kinetics in mildly hypoxemic COPD patients. The observed VO2 kinetics improvement with O2 supplementation is consistent with an enhancement of aerobic metabolism in skeletal muscles during moderate exercise.


Author(s):  
R. C. Moretz ◽  
G. G. Hausner ◽  
D. F. Parsons

Use of the electron microscope to examine wet objects is possible due to the small mass thickness of the equilibrium pressure of water vapor at room temperature. Previous attempts to examine hydrated biological objects and water itself used a chamber consisting of two small apertures sealed by two thin films. Extensive work in our laboratory showed that such films have an 80% failure rate when wet. Using the principle of differential pumping of the microscope column, we can use open apertures in place of thin film windows.Fig. 1 shows the modified Siemens la specimen chamber with the connections to the water supply and the auxiliary pumping station. A mechanical pump is connected to the vapor supply via a 100μ aperture to maintain steady-state conditions.


2021 ◽  
Author(s):  
Wu Lan ◽  
Yuan Peng Du ◽  
Songlan Sun ◽  
Jean Behaghel de Bueren ◽  
Florent Héroguel ◽  
...  

We performed a steady state high-yielding depolymerization of soluble acetal-stabilized lignin in flow, which offered a window into challenges and opportunities that will be faced when continuously processing this feedstock.


2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.


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