Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis
Abstract Pregnancy complications are associated with insufficient adaptation of the maternal autonomic nervous system to the physiological demands of pregnancy. Consequently, assessing maternal heart rate variability (mHRV)—which reflects autonomic regulation—is a promising tool for detecting early...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-21792-2 |
| _version_ | 1811180298189144064 |
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| author | M. Bester R. Joshi A. Linders M. Mischi J. O. E. H. van Laar R. Vullings |
| author_facet | M. Bester R. Joshi A. Linders M. Mischi J. O. E. H. van Laar R. Vullings |
| author_sort | M. Bester |
| collection | DOAJ |
| description | Abstract Pregnancy complications are associated with insufficient adaptation of the maternal autonomic nervous system to the physiological demands of pregnancy. Consequently, assessing maternal heart rate variability (mHRV)—which reflects autonomic regulation—is a promising tool for detecting early deterioration in maternal health. However, before mHRV can be used to screen for complications, an understanding of the factors influencing mHRV during healthy pregnancy is needed. In this retrospective observational study, we develop regression models to unravel the effects of maternal demographics (age, body mass index (BMI), gestational age (GA), and parity), cardiorespiratory factors (heart rate and breathing rate), and inter-subject variation on mHRV. We develop these models using two datasets which are comprised of, respectively, single measurements in 290 healthy pregnant women and repeated measurements (median = 8) in 29 women with healthy pregnancies. Our most consequential finding is that between one-third and two-thirds of the variation in mHRV can be attributed to inter-subject variability. Additionally, median heart rate dominantly affects mHRV (p < 0.001), while BMI and parity have no effect. Moreover, we found that median breathing rate, age, and GA all impact mHRV (p < 0.05). These results suggest that personalized, long-term monitoring would be necessary for using mHRV for obstetric screening. |
| first_indexed | 2024-04-11T06:47:55Z |
| format | Article |
| id | doaj.art-7280efef536f46a5ac48c79088764e36 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T06:47:55Z |
| publishDate | 2022-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-7280efef536f46a5ac48c79088764e362022-12-22T04:39:17ZengNature PortfolioScientific Reports2045-23222022-11-011211910.1038/s41598-022-21792-2Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysisM. Bester0R. Joshi1A. Linders2M. Mischi3J. O. E. H. van Laar4R. Vullings5Department of Electrical Engineering, Eindhoven University of TechnologyPatient Care and Monitoring, Philips ResearchFaculty of Health, Medicine and Life Science, Maastricht UniversityDepartment of Electrical Engineering, Eindhoven University of TechnologyDepartment of Electrical Engineering, Eindhoven University of TechnologyDepartment of Electrical Engineering, Eindhoven University of TechnologyAbstract Pregnancy complications are associated with insufficient adaptation of the maternal autonomic nervous system to the physiological demands of pregnancy. Consequently, assessing maternal heart rate variability (mHRV)—which reflects autonomic regulation—is a promising tool for detecting early deterioration in maternal health. However, before mHRV can be used to screen for complications, an understanding of the factors influencing mHRV during healthy pregnancy is needed. In this retrospective observational study, we develop regression models to unravel the effects of maternal demographics (age, body mass index (BMI), gestational age (GA), and parity), cardiorespiratory factors (heart rate and breathing rate), and inter-subject variation on mHRV. We develop these models using two datasets which are comprised of, respectively, single measurements in 290 healthy pregnant women and repeated measurements (median = 8) in 29 women with healthy pregnancies. Our most consequential finding is that between one-third and two-thirds of the variation in mHRV can be attributed to inter-subject variability. Additionally, median heart rate dominantly affects mHRV (p < 0.001), while BMI and parity have no effect. Moreover, we found that median breathing rate, age, and GA all impact mHRV (p < 0.05). These results suggest that personalized, long-term monitoring would be necessary for using mHRV for obstetric screening.https://doi.org/10.1038/s41598-022-21792-2 |
| spellingShingle | M. Bester R. Joshi A. Linders M. Mischi J. O. E. H. van Laar R. Vullings Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis Scientific Reports |
| title | Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis |
| title_full | Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis |
| title_fullStr | Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis |
| title_full_unstemmed | Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis |
| title_short | Characterizing the effect of demographics, cardiorespiratory factors, and inter-subject variation on maternal heart rate variability in pregnancy with statistical modeling: a retrospective observational analysis |
| title_sort | characterizing the effect of demographics cardiorespiratory factors and inter subject variation on maternal heart rate variability in pregnancy with statistical modeling a retrospective observational analysis |
| url | https://doi.org/10.1038/s41598-022-21792-2 |
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