Key result
Heart-rate variability features accurately estimated the post-menstrual age of premature infants using a multivariate regression model, achieving an R2 of 0.75 and a mean absolute error of 1.56 weeks.
Why the study?
The study aimed to investigate the development of premature infants autonomic nervous system based on quantitative heart-rate variability analysis with novel features, and evaluate the role of bradycardias.
Does quantitative analysis of heart-rate variability (HRV) accurately estimate post-menstrual age and autonomic nervous system maturation in premature infants?
Observational (n=25)
No
Does quantitative analysis of heart-rate variability (HRV) accurately estimate post-menstrual age and autonomic nervous system maturation in premature infants?
Effect estimate: R2 = 0.75, MAE = 1.56 weeks
HRV models may aid ANS maturation tracking in preterms; leaves open clinical adoption pending prospective validation.
This study aims at investigating the development of premature infants' autonomic nervous system (ANS) based on a quantitative analysis of the heart-rate variability (HRV) with a variety of novel features. Additionally, the role of heart-rate drops, known as bradycardias, has been studied in relation to both clinical and novel sympathovagal indices. ECG data were measured for at least 3 h in 25 preterm infants (gestational age ≤32 weeks) for a total number of 74 recordings. The post-menstrual age (PMA) of each patient was estimated from the RR interval time-series by means of multivariate linear-mixed effects regression. The tachograms were segmented based on bradycardias in periods after, between and during bradycardias. For each of those epochs, a set of temporal, spectral and fractal indices were included in the regression model. The best performing model has R 2 = 0.75 and mean absolute error MAE = 1.56 weeks. Three main novelties can be reported. First, the obtained maturation models based on HRV have comparable performance to other development models. Second, the selected features for age estimation show a predominance of power and fractal features in the very-low- and low-frequency bands in explaining the infants' sympathovagal development from 27 PMA weeks until 40 PMA weeks. Third, bradycardias might disrupt the relationship between common temporal indices of the tachogram and the age of the infant and the interpretation of sympathovagal indices. This approach might provide a novel overview of post-natal autonomic maturation and an alternative development index to other electrophysiological data analysis.
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Lavanga et al. (2021) conducted an observational in Premature infants (n=25). Heart-rate variability (HRV) features was evaluated on Estimation of post-menstrual age (PMA) (R2 = 0.75, MAE = 1.56 weeks). Heart-rate variability features accurately estimated the post-menstrual age of premature infants using a multivariate regression model, achieving an R2 of 0.75 and a mean absolute error of 1.56 weeks.
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