Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction
<p><strong>Introduction</strong><br/>One indicator for fetal risk of mortality is intrauterine growth restriction (IUGR). Whether markers reflecting the impact of growth restriction on the cardiovascular system, computed from a Doppler-derived heart rate signal, would be suit...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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John Wiley and Sons Ltd
2017
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| _version_ | 1797103678767759360 |
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| author | Stroux, L Redman, CW Georgieva, A Payne, SJ Clifford, GD |
| author_facet | Stroux, L Redman, CW Georgieva, A Payne, SJ Clifford, GD |
| author_sort | Stroux, L |
| collection | OXFORD |
| description | <p><strong>Introduction</strong><br/>One indicator for fetal risk of mortality is intrauterine growth restriction (IUGR). Whether markers reflecting the impact of growth restriction on the cardiovascular system, computed from a Doppler-derived heart rate signal, would be suitable for its detection antenatally was studied.</p> <p><strong>Material and methods</strong><br/>We used a cardiotocography archive of 1163 IUGR cases and 1163 healthy controls, matched for gestation and gender. We assessed the discriminative power of short-term variability and long-term variability of the fetal heart rate, computed over episodes of high and low variation aiming to separate growth-restricted fetuses from controls. Metrics characterizing the sleep state distribution within a trace were also considered for inclusion into an IUGR detection model.</p> <p><strong>Results</strong><br/>Significant differences in the risk markers comparing growth-restricted with healthy fetuses were found. When used in a logistic regression classifier, their performance for identifying IUGR was considerably superior before 34 weeks of gestation. Long-term variability in active sleep was superior to short-term variability [area under the receiver operator curve (AUC) of 72% compared with 71%]. Most predictive was the number of minutes in high variation per hour (AUC of 75%). A multivariate IUGR prediction model improved the AUC to 76%.</p> <p><strong>Conclusion</strong><br/>We suggest that heart rate variability markers together with surrogate information on sleep states can contribute to the detection of early-onset IUGR.</p> |
| first_indexed | 2024-03-07T06:23:31Z |
| format | Journal article |
| id | oxford-uuid:f378fb83-9511-45b4-a39d-4195a50242b3 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:23:31Z |
| publishDate | 2017 |
| publisher | John Wiley and Sons Ltd |
| record_format | dspace |
| spelling | oxford-uuid:f378fb83-9511-45b4-a39d-4195a50242b32022-03-27T12:12:33ZDoppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restrictionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f378fb83-9511-45b4-a39d-4195a50242b3EnglishSymplectic Elements at OxfordJohn Wiley and Sons Ltd2017Stroux, LRedman, CWGeorgieva, APayne, SJClifford, GD<p><strong>Introduction</strong><br/>One indicator for fetal risk of mortality is intrauterine growth restriction (IUGR). Whether markers reflecting the impact of growth restriction on the cardiovascular system, computed from a Doppler-derived heart rate signal, would be suitable for its detection antenatally was studied.</p> <p><strong>Material and methods</strong><br/>We used a cardiotocography archive of 1163 IUGR cases and 1163 healthy controls, matched for gestation and gender. We assessed the discriminative power of short-term variability and long-term variability of the fetal heart rate, computed over episodes of high and low variation aiming to separate growth-restricted fetuses from controls. Metrics characterizing the sleep state distribution within a trace were also considered for inclusion into an IUGR detection model.</p> <p><strong>Results</strong><br/>Significant differences in the risk markers comparing growth-restricted with healthy fetuses were found. When used in a logistic regression classifier, their performance for identifying IUGR was considerably superior before 34 weeks of gestation. Long-term variability in active sleep was superior to short-term variability [area under the receiver operator curve (AUC) of 72% compared with 71%]. Most predictive was the number of minutes in high variation per hour (AUC of 75%). A multivariate IUGR prediction model improved the AUC to 76%.</p> <p><strong>Conclusion</strong><br/>We suggest that heart rate variability markers together with surrogate information on sleep states can contribute to the detection of early-onset IUGR.</p> |
| spellingShingle | Stroux, L Redman, CW Georgieva, A Payne, SJ Clifford, GD Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
| title | Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
| title_full | Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
| title_fullStr | Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
| title_full_unstemmed | Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
| title_short | Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
| title_sort | doppler based fetal heart rate analysis markers for the detection of early intrauterine growth restriction |
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