Accuracy of a Clinical Applicable Method for Prediction of VO2max Using Seismocardiography

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Cardiorespiratory fitness measured as VO2max is considered an important variable in the risk prediction of cardiovascular disease and all-cause mortality. Non-exercise VO2max prediction models are applicable, but lack accuracy. Here a model for the prediction of VO2max using seismocardiography (SCG) was investigated. 97 healthy participants (18-65 yrs., 51 females) underwent measurement of SCG at rest in the supine position combined with demographic data to predict VO2max before performing a graded exercise test (GET) on a cycle ergometer for determination of VO2max using pulmonary gas exchange measurements for comparison. Accuracy assessment revealed no significant difference between SCG and GET VO2max (mean±95% CI; 38.3±1.6 and 39.3±1.6 ml·min -1·kg -1, respectively. P=0.075). Further, a Pearson correlation of r=0.73, a standard error of estimate (SEE) of 5.9 ml·min -1·kg -1, and a coefficient of variation (CV) of 8±1% were found. The SCG VO2max showed higher accuracy than the non-exercise model based on the FRIENDS study when this was applied to the present population (bias=-3.7±1.3 ml·min -1·kg -1, p<0.0001. r=0.70. SEE=7.4 ml·min-1·kg-1, and CV=12±2%). The SCG VO2max prediction model is an accurate method for the determination of VO2max in a healthy adult population. However, further investigation on the validity and reliability of the SCG VO2max prediction model in different populations is needed for consideration of clinical applicability.

TidsskriftInternational Journal of Sports Medicine
Udgave nummer9
Sider (fra-til)650-656
StatusUdgivet - 2023

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