Key result
A novel individualized metric measuring the distance to a healthy state based on fetal heart rate temporal dynamics accurately predicted the onset of cardiovascular decompensation and correlated strongly with fetal pH (r = -0.87) in a sheep model of labor.
Why the study?
The study aimed to understand the relations between fetal heart rate temporal dynamics and fetal well-being, specifically predicting the evolution of lactate, pH, and cardiovascular decompensation.
Does an individualized self-referencing metric based on FHR temporal dynamics predict cardiovascular decompensation and acidemia in a pregnant sheep model of human labor?
Does an individualized self-referencing metric based on FHR temporal dynamics predict cardiovascular decompensation and acidemia in a pregnant sheep model of human labor?
A novel metric based on fetal heart rate temporal dynamics accurately predicts cardiovascular decompensation and acidemia in a sheep model of human labor.
Supports individualized FHR metrics for intrapartum monitoring; hypothesis-generating in animal models and requires human validation.
The overarching goal of the present work is to contribute to the understanding of the relations between fetal heart rate (FHR) temporal dynamics and the well-being of the fetus, notably in terms of predicting the evolution of lactate, pH and cardiovascular decompensation (CVD). It makes uses of an established animal model of human labor, where 14 near-term ovine fetuses subjected to umbilical cord occlusions (UCO) were instrumented to permit regular intermittent measurements of metabolites lactate and base excess, pH, and continuous recording of electrocardiogram (ECG) and systemic arterial blood pressure (to identify CVD) during UCO. ECG-derived FHR was digitized at the sampling rate of 1,000 Hz and resampled to 4 Hz, as used in clinical routine. We focused on four FHR variability features which are tunable to temporal scales of FHR dynamics, robustly computable from FHR sampled at 4 Hz and within short-time sliding windows, hence permitting a time-dependent, or local, analysis of FHR which helps dealing with signal noise. Results show the sensitivity of the proposed features for early detection of CVD, correlation to metabolites and pH, useful for early acidosis detection and the importance of coarse time scales (2.5-8 s) which are not disturbed by the low FHR sampling rate. Further, we introduce the performance of an individualized self-referencing metric of the distance to healthy state, based on a combination of the four features. We demonstrate that this novel metric, applied to clinically available FHR temporal dynamics alone, accurately predicts the time occurrence of CVD which heralds a clinically significant degradation of the fetal health reserve to tolerate the trial of labor.
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Roux et al. (2021) studied Fetal acidemia and cardiovascular decompensation (animal model of human labor) (n=14). Distance to healthy state metric based on fetal heart rate scale-dependent features vs. Baseline healthy state was evaluated on Prediction of cardiovascular decompensation and correlation with fetal pH. A novel individualized metric measuring the distance to a healthy state based on fetal heart rate temporal dynamics accurately predicted the onset of cardiovascular decompensation and correlated strongly with fetal pH (r = -0.87) in a sheep model of labor.
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