Impedance plethysmography-based method in the assessment of subclinical atherosclerosis
Haapala, Mira; Lyytikäinen, Leo-Pekka; Peltokangas, Mikko; Koivistoinen, Teemu; Hutri-Kähönen, Nina; Laurila, Mika-Matti; Mäntysalo, Matti; Raitakari, Olli T.; Kähönen, Mika; Lehtimäki, Terho; Vehkaoja, Antti; Oksala, Niku (2021)
Haapala, Mira
Lyytikäinen, Leo-Pekka
Peltokangas, Mikko
Koivistoinen, Teemu
Hutri-Kähönen, Nina
Laurila, Mika-Matti
Mäntysalo, Matti
Raitakari, Olli T.
Kähönen, Mika
Lehtimäki, Terho
Vehkaoja, Antti
Oksala, Niku
2021
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202105044395
https://urn.fi/URN:NBN:fi:tuni-202105044395
Kuvaus
Peer reviewed
Tiivistelmä
Background and aims The aim of this study was to examine an association of individual and combined pulse waveform parameters derived from bioimpedance measurements, that is pulse waves from a distal impedance plethysmographic (IPG), a whole-body impedance cardiographic (ICG) and transformed distal impedance plethysmographic (tIPG) signals, with markers of subclinical atherosclerosis, i.e. carotid intima-media thickness (cIMT), brachial artery flow-mediated dilation (FMD) and carotid artery distensibility (Cdist). The level of the association was also compared for arterial pulse wave velocity (PWV) and cIMT, FMD, and Cdist. Methods IPG, ICG, tIPG signals were measured from 1741 Finnish adults aged 30–45 years. The association between pulse wave parameters and cIMT, FMD and Cdist was studied using bootstrapped stepwise Akaike's Information Criterion method resulting in selection of parameters other than PWV, i.e. parameters having stronger association with cIMT, FMD and Cdist than PWV, in the model. Then risk scores were calculated from the selected pulse wave parameters and their association between cIMT, FMD and Cdist was studied with multivariable linear regression analysis. Results The risk score was found to be the third strongest predictor of subclinical atherosclerosis as indicated by cIMT measurement, the second strongest predictor of FMD and the strongest predictor of Cdist. These findings show that several individual pulse wave parameters were associated more strongly with cIMT, FMD, and Cdist than PWV when adjusted with clinical risk factors. Conclusions Impedance based pulse waveform analysis provides a useful tool for assessing cardiovascular risk and estimating presence of structural changes in the vasculature.
Kokoelmat
- TUNICRIS-julkaisut [19195]