Key result
Seismocardiography accurately predicted VO2max in healthy adults, showing no significant difference compared to graded exercise testing (38.3 vs 39.3 ml/min/kg, P=0.075) and a correlation of r=0.73.
Why the study?
Cardiorespiratory fitness is important for predicting cardiovascular disease and mortality risk, but existing non-exercise VO2max prediction models lack accuracy.
Does a prediction model using seismocardiography accurately estimate VO2max compared to a graded exercise test in healthy adults?
Cross-Sectional (n=97)
Does a prediction model using seismocardiography accurately estimate VO2max compared to a graded exercise test in healthy adults?
Effect estimate: r=0.73
Absolute Event Rate: 38.3% vs 39.3%
p-value: p=0.075
A non-exercise prediction model using seismocardiography provides an accurate estimation of VO2max in healthy adults compared to standard graded exercise testing.
May support seismocardiography for VO2max estimation in healthy adults; leaves open prospective validation before clinical use.
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.
No takes yet. Share an insight, caveat, or question.
Hansen et al. (2022) conducted a cross-sectional in Healthy (n=97). Seismocardiography (SCG) prediction model vs. Graded exercise test (GET) using pulmonary gas exchange was evaluated on VO2max (ml·min−1·kg−1) (r=0.73, p=0.075). Seismocardiography accurately predicted VO2max in healthy adults, showing no significant difference compared to graded exercise testing (38.3 vs 39.3 ml/min/kg, P=0.075) and a correlation of r=0.73.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: