- Open Access
An empirical model for educational simulation of cervical dilation in first-stage labor
- Silvano R. Gefferie†1,
- Anouk W. J. Scholten†1,
- Kim A. E. Wijlens†1Email authorView ORCID ID profile,
- M. Luísa Ferreira Bastos2,
- M. Beatrijs van der Hout-van der Jagt3,
- Hans Zwart4 and
- Willem J. van Meurs5
© The Author(s) 2018
Received: 31 January 2018
Accepted: 21 May 2018
Published: 15 June 2018
Several models for educational simulation of labor and delivery were published in the literature and incorporated into a commercially available training simulator (CAE Healthcare Lucina). However, the engine of this simulator does not include a model for the clinically relevant indicators: uterine contraction amplitude and frequency, and cervical dilation. In this paper, such a model is presented for the primigravida in normal labor.
The conceptual and mathematical models represent oxytocin release by the hypothalamus, oxytocin pharmacokinetics, and oxytocin effect on uterine contractions, cervical dilation, and (positive) feedback from cervical dilation to oxytocin release by the hypothalamus.
Simulation results for cervical dilation are presented, together with target data for a normal primigravida. Corresponding oxytocin concentrations and amplitude and frequency of uterine contractions are also presented.
An original empirical model for educational simulation of oxytocin concentration, uterine contractions, and cervical dilation in first-stage labor is presented. Simulation results for cervical dilation match target data for a normal patient. The model forms a basis for taking into account more independent variables and patient profiles and can thereby considerably expand the range of training scenarios that can be simulated.
Uterine contractions, fetal descent, and cervical dilation are used to assess progression of labor. These related phenomena vary greatly among parturients and may have an incidence on the condition of the fetus. Simulators allow for practice of normal and critical situations at will and at no risk to real patients. Several models for educational simulation of labor and delivery were published in the literature [1–3] and incorporated into a commercially available training simulator . The cited models make amplitude, frequency, duration, and resting tone of the uterine pressure waveform evolve spontaneously and under the influence of oxytocin and tocolytics. However, the relationships between these variables and cervical dilation are scripted.
A positive feedback loop involving oxytocin plays a central role in the progression of first-stage labor. The hypothalamus releases oxytocin into the bloodstream, which is transported to the uterus and stimulates uterine contractions. The contractions result in descent of the fetus. The descending fetal head causes cervical dilation. Cervical stretch receptors send a signal to the hypothalamus via afferent nerves, stimulating additional release of oxytocin, thereby closing the loop. This loop results in progressively intensifying contractions and dilation over time .
A database for a number of contraction and dilation profiles could be established and used for scripted training simulation purposes. However, realistic simulation of the interaction between oxytocin concentrations, uterine contractions, fetal descent, and dilation, for a number of patient profiles, and possibly under external influences such as administration of exogenous oxytocin and tocolytics, requires a model-based approach. Such a model would not only increase insight in the interacting processes, but also greatly expand the range of scenarios that can be simulated beyond the relatively simple phenomena that can be characterized in a database.
In this innovation paper, we lay the foundation for such a model by proposing an empirical model that simulates oxytocin concentrations and contraction and dilation profiles. The model should be able to run in real, or accelerated, time and should be easy to manipulate to reflect different patients.
Model parameters. For consistency, all values are given in three significant digits
Baseline oxytocin release rate in hypothalamus
Gain from cervical dilation to oxytocin release rate in hypothalamus
Pharmacokinetic parameter: Elimination rate constant
Pharmacokinetic parameter: Volume of distribution
Maximal concentration frequency
Pharmacodynamic parameter: Oxytocin concentration resulting in 50% effect
Pharmacodynamic parameter: Slope of sigmoidal curve
Baseline contraction amplitude
Maximal contraction amplitude
Dilation increase due to pressure exerted by the fetus on the cervix
1.00 × 10−3
Dilation increase due to contraction frequency and amplitude
1.90 × 10−2
Equations (1–6) were implemented in MATLAB (MATLAB R2017a, The MathWorks Inc.) using the Euler forward method with an integration step size of 1 min to integrate the two differential equations. Model simulation results are presented and compared to target data obtained from Zhang et al.  for cervical dilation.
Simulated dilation matches dilation in a normal patient in an approximation that is considered realistic enough for educational simulation. Parameters P 2 and P 11 were adjusted to achieve this match. Further research could address which parameters are patient- or population-specific and can be used to simulate different labor types. The model parameter estimation procedure could then be formalized so that a clinical instructor can easily use it to meet his or her educational objectives. Ongoing work involves expanding the set of target data and matching simulation results to them, to enhance model validity and demonstrate the possibility to match different patient profiles. Critical analysis of the pharmacokinetic model may be necessary. It would also be interesting to explore validity of the model for exogenous oxytocin administration.
An original empirical model for educational simulation of oxytocin concentrations, uterine contractions, and cervical dilation in first-stage labor is presented. Simulation results for cervical dilation match target data for a normal patient. The proposed model forms a sound, explicit basis for taking into account more independent variables and patient profiles, and thereby considerably expand the range of training scenarios that can be simulated.
Silvano Gefferie won the Nicolaas Westerhof first prize for a young investigator for his presentation of the work elaborated upon in this paper at the conference Applied Modeling in Acute Care, April 20–21, 2017, Enschede, The Netherlands. Part of the salary of Willem van Meurs in the 2016–2017 academic year was funded by a grant from CAE Healthcare, Montreal, Canada.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
SG, AS, and KW did the research and wrote the manuscript. All authors read and approved the final manuscript. HZ provided general guidance in the first stages of the research and gave his perspective on the mathematical model in later stages. WvM provided guidance throughout the research project and feedback on academic writing and style. LFB clarified the implementation of her published models for simulation of the effect of oxytocin on uterine contractions. MBvdH-vdJ gave general feedback on the physiological, modeling, and educational simulation aspects of the manuscript.
Ethics approval and consent to participate
Drs. Ferreira Bastos and Van Meurs received royalties for licensing of the Childbirth simulator mentioned in the introduction by the University of Porto to CAE Healthcare, Montreal, Canada. In the 2016–2017 academic year, Willem van Meurs was a consultant to and received a grant from CAE Healthcare, Montreal, Canada. The remaining authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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