Sub Maximal Ergospirometry Parameters in Untrained Non-Frail Octogenarian Subjects
<i>Background and Objectives</i>: The prevalence of chronic diseases increases with age, and in octogenarian elderly, a cardiorespiratory test with gas analysis is more effective in determining the risk of mortality than applying the conventional risk factors. <i>Materials and Meth...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
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| Series: | Medicina |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1648-9144/58/3/378 |
| Summary: | <i>Background and Objectives</i>: The prevalence of chronic diseases increases with age, and in octogenarian elderly, a cardiorespiratory test with gas analysis is more effective in determining the risk of mortality than applying the conventional risk factors. <i>Materials and Methods</i>: 25 untrained non-frail octogenarian subjects (four men) performed a submaximal test with gas analysis, which was stopped after the second ventilatory threshold (VT2) was reached. The variables analyzed were oxygen consumption at the first threshold (VO<sub>2</sub> VT1); ventilatory class (VE/VCO<sub>2</sub>); oxygen uptake efficiency slope (OUES); cardiorespiratory optimal point (COP); oxygen pulse difference between VT2 and VT1 (diff. VO<sub>2</sub>/HR VT2-VT1). <i>Results</i>: the variables were classified categorically based on cut-off points present in the literature, where the variable with the highest percentage of altered cases was dif. VO2/HR VT2-VT1 at 48%; followed by VO<sub>2</sub> VT1 at 40%, OUES at 36%, COP at 32%, and VE/VCO<sub>2</sub> at 24%. Chi-square analysis between the measured parameters defined that normal and altered variables were related to each other, except for the variable VE/VCO<sub>2</sub> and OUES. <i>Conclusions</i>: it was found that the main altered variable was the oxygen pulse and the least altered variable was VCO<sub>2</sub>/VCO<sub>2</sub>; there was only a statistically significant difference in a pair of OUES vs. VE/VCO<sub>2</sub> variables. |
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| ISSN: | 1010-660X 1648-9144 |