Biological variation of resting measures of ventilation and gas exchange in a large healthy cohort
- PMID: 31321511
- DOI: 10.1007/s00421-019-04190-x
Biological variation of resting measures of ventilation and gas exchange in a large healthy cohort
Abstract
Purpose: Resting measures of ventilation and gas exchange are impacted by a variety of physiological stressors, such as those resulting from a research intervention or an extreme environment. However, the biological variation of these parameters, an important statistical consideration for identifying a meaningful physiological change, has not been quantified.
Methods: We performed a retrospective analysis of 21 studies completed by the U.S. Army Research Institute of Environmental Medicine (USARIEM) from 1985 to present, totaling 411 healthy volunteers. First, we determined the intraindividual, interindividual, and analytic coefficients of variation (CVI, CVG, and CVA, respectively) and subsequently the index of individuality and heterogeneity (II and IH, respectively). Second, when deemed appropriate via these outcomes, we defined the accompanying static and dynamic thresholds, beyond which a significant deviation from normal is indicated.
Results: End-tidal partial pressure of oxygen (PETO2) and the respiratory exchange ratio (RER) approached the II threshold required to be considered useful in the static assessment of physiological deviations from normal. PETO2 and peripheral oxygen saturation (SpO2) approached the IH threshold required to be considered useful in the dynamic assessment of physiological deviations from normal.
Conclusions: This analysis identifies RER and PETO2 as parameters that might be most useful when aiming to identify a meaningful ventilatory change following a research intervention or stressor. Alternatively, other parameters of ventilation and gas exchange, such as PETCO2 and VE, may be less useful for observing an anticipated physiological change.
Keywords: Coefficient of variation; Decision level; Index of heterogeneity; Index of individuality; Reference change value.
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References
-
- Auchincloss JH Jr, Gilbert R, Baule GH (1966) Effect of ventilation on oxygen transfer during early exercise. J Appl Physiol 21(3):810–818. https://doi.org/10.1152/jappl.1966.21.3.810 - DOI - PubMed
-
- Bagger M, Petersen PH, Pedersen PK (2003) Biological variation in variables associated with exercise training. Int J Sports Med 24(6):433–440. https://doi.org/10.1055/s-2003-41180 - DOI - PubMed
-
- Cautero M, di Prampero PE, Capelli C (2003) New acquisitions in the assessment of breath-by-breath alveolar gas transfer in humans. Eur J Appl Physiol 90(3–4):231–241. https://doi.org/10.1007/s00421-003-0951-y - DOI - PubMed
-
- Cheuvront SN, Ely BR, Kenefick RW, Sawka MN (2010) Biological variation and diagnostic accuracy of dehydration assessment markers. Am J Clin Nutr 92(3):565–573. https://doi.org/10.3945/ajcn.2010.29490 - DOI - PubMed
-
- Consolazio CF, Johnson RE, Pecora LJ (1963) Physiological measurements of metabolic functions in man. McGraw-Hill, New York
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