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

Abstract

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.

Key words

maximal oxygen consumption - ˙VO₂max prediction - test accuracy

Publication History

Received: 23 December 2022

Accepted: 23 December 2022

Accepted Manuscript online:
28 December 2022

Article published online:
05 June 2023

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