Alterations of the Short-Term Variation of the Fetal Heart Rate after Antenatal Maternal Betamethasone Administration: Validation with Two Different Computational Algorithms.

INTRODUCTION: Antenatal betamethasone administration in the context of foetal lung maturity enhancement has a transient impact on the short-term variation (STV) of the foetal heart rate. There are currently various algorithms for computing the STV, each one resulting in different STV values. We studied the results of betamethasone administration on the STV using 2 different algorithms in order to investigate whether the effects of steroids on the STV depend on the algorithm used or not. MATERIALS AND METHODS: In the context of a larger, single-centre, prospective, observational study, we gathered CTG traces under and without the influence of steroids in order to study their effect on the STV using 2 different computational algorithms (STV240 and STV16). RESULTS: A total of 285 CTGs were registered and subsequently analysed with both algorithms. When compared to the STV240 and STV16 without or at least 72 h after the first intramuscular corticosteroid administration, a transient increase of both the STV240 and STV16 was documented in the first 24 h, followed by a transient decrease of both the STV240 and STV16 between 24 h and 72 h after the first intramuscular corticosteroid injection. CONCLUSION: Our results confirmed that betamethasone administration has a transient but significant effect on the STV independently of the algorithm used. These observations stress once again the fact that a decreased STV within the first 72 h after maternal bethametasone administration should not be an indication for early delivery.

Validation of a new algorithm for the short-term variation of the fetal heart rate: an antepartum prospective study.

AIMS: Currently one of the most widespread systems for the computerized analysis of the fetal heart rate (FHR) is the Dawes-Redman system, where the short-term variation (STV) of the FHR is measured by dividing each minute into 16 segments (STV16). Technical progress has allowed for the development of a new algorithm, which measures the STV by dividing each minute into 240 segments (STV240), thus approximating the beat-to-beat variation. The STV240 still lacks reference values. Our aim was to develop clinically relevant reference values for the STV240 and compare them to the ones for the STV16. METHODS: In a single centre, observational study, a total of 228 cardiotocograms were registered and subsequently analyzed with both algorithms (STV240 and STV16). RESULTS: The 95% confidence interval (CI) was calculated for both algorithms. The values of the STV240 were significantly lower in comparison to the ones of the STV16. Not only the mean values but also the 95th percentile of the STV240 lay beneath the existent cut-off value for the STV16. CONCLUSIONS: Every clinician using the new algorithm must be aware that the normal values for the STV240 lie beneath the, up until now, established cut-off values for the STV16.

Cardiotocography and the evolution into computerised cardiotocography in the management of intrauterine growth restriction.

Timely recognition and appropriate management of high-risk pregnancies, such as intrauterine growth restriction (IUGR), are of paramount importance for every obstetrician. After the initial screening of IUGR fetuses through sonographic fetometry and Doppler, the focus is shifted to the appropriate monitoring and timing of delivery. This can, especially in cases of early IUGR, become a very difficult task. At this point, cardiotocography (CTG) is introduced as a major tool in the day-to-day monitoring of the antenatal well-being of the IUGR fetus. Since the first introduction of CTG up to the nowadays widely spreading implementation of computerised CTG in the clinical practice, there has been great progress in the recording of the fetal heart rate, as well as its interpretation. Focus of this review is to offer an understanding of the evolution of CTG from its early development to modern computerised methods and to provide an insight as to where the future of CTG is leading, especially in the monitoring of IUGR.