TY - JOUR
T1 - Accuracy of a Clinical Applicable Method for Prediction of VO2max Using Seismocardiography
AU - Hansen, Mikkel Thunestvedt
AU - Husted, Karina Louise Skov
AU - Fogelstrøm, Mathilde
AU - Rømer, Tue
AU - Schmidt, Samuel Emil
AU - Sørensen, Kasper
AU - Helge, Jørn
N1 - Thieme. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Cardiorespiratory fitness measured as ?VO
2max is considered an important variable in the risk prediction of cardiovascular disease and all-cause mortality. Non-exercise ?VO
2max prediction models are applicable, but lack accuracy. Here a model for the prediction of ?VO
2max 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 ?VO
2max before performing a graded exercise test (GET) on a cycle ergometer for determination of ?VO
2max using pulmonary gas exchange measurements for comparison. Accuracy assessment revealed no significant difference between SCG and GET ?VO
2max (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 ?VO
2max 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 ?VO
2max prediction model is an accurate method for the determination of ?VO
2max in a healthy adult population. However, further investigation on the validity and reliability of the SCG ?VO
2max prediction model in different populations is needed for consideration of clinical applicability.
AB - Cardiorespiratory fitness measured as ?VO
2max is considered an important variable in the risk prediction of cardiovascular disease and all-cause mortality. Non-exercise ?VO
2max prediction models are applicable, but lack accuracy. Here a model for the prediction of ?VO
2max 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 ?VO
2max before performing a graded exercise test (GET) on a cycle ergometer for determination of ?VO
2max using pulmonary gas exchange measurements for comparison. Accuracy assessment revealed no significant difference between SCG and GET ?VO
2max (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 ?VO
2max 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 ?VO
2max prediction model is an accurate method for the determination of ?VO
2max in a healthy adult population. However, further investigation on the validity and reliability of the SCG ?VO
2max prediction model in different populations is needed for consideration of clinical applicability.
KW - Adolescent
KW - Adult
KW - Aged
KW - Exercise Test
KW - Female
KW - Heart Function Tests
KW - Humans
KW - Male
KW - Middle Aged
KW - Oxygen Consumption
KW - Young Adult
UR - http://www.scopus.com/inward/record.url?scp=85146638490&partnerID=8YFLogxK
U2 - 10.1055/a-2004-4669
DO - 10.1055/a-2004-4669
M3 - Journal article
C2 - 36577438
AN - SCOPUS:85146638490
SN - 0172-4622
VL - 44
SP - 650
EP - 656
JO - International Journal of Sports Medicine
JF - International Journal of Sports Medicine
IS - 9
ER -