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

Cardiorespiratory fitness measured as (V) over dotO(2)max is considered an important variable in the risk prediction of cardiovascular disease and all-cause mortality. Non-exercise (V) over dotO(2)max prediction models are applicable, but lack accuracy. Here a model for the prediction of (V) over dotO(2)max 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 (V) over dotO(2)max before performing a graded exercise test (GET) on a cycle ergometer for determination of (V) over dotO(2)max using pulmonary gas exchange measurements for comparison. Accuracy assessment revealed no significant difference between SCG and GET (V) over dotO(2)max (mean +/- 95 % CI; 38.3 +/- 1.6 and 39.3 +/- 1.6 ml center dot min(-1) center dot kg(-1), respectively. P = 0.075). Further, a Pearson correlation of r = 0.73, a standard error of estimate (SEE) of 5.9 ml center dot min(-1) center dot kg(-1), and a coefficient of variation (CV) of 8 +/- 1 % were found. The SCG (V) over dotO(2)max 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 center dot min(-1) center dot kg(-1), p < 0.0001. r = 0.70. SEE = 7.4 ml center dot min(-1) center dot kg(-1), and CV = 12 +/- 2 %). The SCG (V) over dotO(2)max prediction model is an accurate method for the determination of (V) over dotO(2)max in a healthy adult population. However, further investigation on the validity and reliability of the SCG (V) over dotO(2)max prediction model in different populations is needed for consideration of clinical applicability.

Automated summary

A model using seismocardiography (SCG) for the prediction of (V) over dotO(2)max was found to accurately predict the maximum oxygen consumption in a healthy adult population.