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Categorization of Fetal Heart Rate Decelerations in American and European Practice: Importance and Imperative of Avoiding Framing and Confirmation Biases
Open accessAbstract
Interpretation of electronic fetal monitoring (EFM) remains controversial and unsatisfactory. Fetal heart rate (FHR) decelerations are the commonest aberrant feature on cardiotocographs and considered "center-stage" in the interpretation of EFM. A recent American study suggested that the lack of correlation of American three-tier system to neonatal acidemia may be due to the current peculiar nomenclature of FHR decelerations leading to loss of meaning. The pioneers like Hon and Caldeyro-Barcia classified decelerations based primarily on time relationship to contractions and not on etiology per se. This critical analysis debates pros and cons of significant anchoring/framing and confirmation biases in defining different types of decelerations based primarily on the shape (slope) or time of descent. It would be important to identify benign early decelerations correctly to avoid unnecessary intervention as well as to improve the positive predictive value of the other types of decelerations. Currently the vast majority of decelerations are classed as "variable". This review shows that the most common rapid decelerations during contractions with trough corresponding to peak of contraction cannot be explained by "cord-compression" hypothesis but by direct/pure (defined here as not mediated through baro-/chemoreceptors) or non-hypoxic vagal reflex. These decelerations are benign, most likely and mainly a result of head-compression and hence should be called "early" rather than "variable". Standardization is important but should be appropriate and withstand scientific scrutiny. Significant framing and confirmation biases are necessarily unscientific and the succeeding three-tier interpretation systems and structures embodying these biases would be dysfunctional and clinically unhelpful. Clinical/pathophysiological analysis and avoidance of flaws/biases suggest that a more physiological and scientific categorization of decelerations should be based on time relationship to contractions alone irrespective of shape or descent time as indeed proposed by pioneers like Hon and Caldeyro-Barcia. Such meaningful categorization, apart from being a scientific necessity, could improve the practical performance of three-tier FHR interpretation systems and possibly application of dependent complementary techniques like fetal ECG/pulse oximetry/computer-aided analysis, thus facilitating future progress in the field of intrapartum fetal monitoring.
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![Figure 1 Hypothesis of cord compression and variable deceleration [25, 27, 29, 30] (thankfully reproduced from OJOG 2013;3:362-370, open access) [23]. This hypothesis has major fallacies. Complete cord compression has been postulated for these most common decelerations (CTG paper speed 3 cm/min). The FHR recovery commencing at the height of contraction (where umbilical arterial and venous occlusion is unrelieved) cannot be explained. Instead the deceleration depicted seems consistent with “direct” or “pure” vagal reflex (head compression).](/paper-figures/8a305b36557042408e973264649cf35a/categorization-of-fetal-heart-rate-decelerations-in-american-and-european-figure-1.jpg)
![Figure 2 CTG in a case of cord prolapse showing decelerations (mistakenly) classed as “variable” (reproduced with thanks from Westgate et al, AJOG, 2007) [1]. Although these decelerations “look” rapid (paper speed 1 cm/min), the “descent time” is well over 60 s.](/paper-figures/35be58edf14145cd9d090a1187db0044/categorization-of-fetal-heart-rate-decelerations-in-american-and-european-figure-2.jpg)
![Figure 3 The same CTG from Figure 2 shown with American CTG paper speed of 3 cm/min. Note that the “descent time” is well over 60 s. Hence, based on American definitions [10, 11], these decelerations are “late”, demonstrating that rate/time of descent does not reliably predict etiology.](/paper-figures/58c9d22e952e4a4bbe584e8948d2dfe8/categorization-of-fetal-heart-rate-decelerations-in-american-and-european-figure-3.jpg)
![Figure 4 Diagrammatic representation of early, late and variable decelerations as practiced in British Obstetrics before 2007 (reproduced with kind permission from “Principles of Obstetrics” by Bryan Hibbard, 1988) [20]. Note the apparent rapid descent of early decelerations.](/paper-figures/6e8fe0db341c496cbdbe39fe42980b5b/categorization-of-fetal-heart-rate-decelerations-in-american-and-european-figure-4.jpg)
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“Moreover, the preterm newborns with frequent bradycardia, who were at high risk for serious complications, reliably had low amplitude RSA (i.e., heart rate patterns with a relatively constant beat-to-beat rate) prior to a bradycardic event [[19], [20], [21]].”
From The vagal paradox: A polyvagal solution (2023) · cites this paper as [21]
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Cites
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Hon, E. H. (1958) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(58)90707-5 · Cited by 193
Research works printed but not linked: 1
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Cited by
The vagal paradox: A polyvagal solution
Porges, S. W. (2023) · Comprehensive Psychoneuroendocrinology · doi:10.1016/j.cpnec.2023.100200 · Cited by 52
“Moreover, the preterm newborns with frequent bradycardia, who were at high risk for serious complications, reliably had low amplitude RSA (i.e., heart rate patterns with a relatively constant beat-to-beat rate) prior to a bradycardic event [19 – 21].”
BackgroundA machine learning pipeline to classify foetal heart rate deceleration with optimal feature set
Das, S., Obaidullah, S. M., Mahmud, M., Kaiser, M. S., Roy, K., Saha, C. K., & Goswami, K. (2023) · Scientific Reports · doi:10.1038/s41598-023-27707-z · Cited by 22
Sholapurkar, S. L. (2017) · Journal of Clinical Medicine Research · doi:10.14740/jocmr2877e · Cited by 21
Self-citationSbrollini, A., Carnicelli, A., Massacci, A., Tomaiuolo, L., Zara, T., Marcantoni, I., Burattini, L., Morettini, M., Fioretti, S., & Burattini, L. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512432 · Cited by 16
Neurological Fallacies Leading to Malpractice
Johnston, J. C., Wester, K. G., & Sartwelle, T. P. (2016) · Neurologic Clinics · doi:10.1016/j.ncl.2016.04.011 · Cited by 7
Goel, A., Sonowal, I. B., Saxena, V. K., & Bhukya, R. K. (2024) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet61516.2024.10592910 · Cited by 6
Sholapurkar, S. L. (2020) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2020.1759537 · Cited by 4
Self-citationSholapurkar, S. L. (2018) · Journal of Clinical Medicine Research · doi:10.14740/jocmr3307e · Cited by 3
Self-citationGimovsky, A. C., Whitney, B., WOOD, D. C., & Weiner, S. (2017) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2017.1399119 · Cited by 2
Fetal Cerebral Monitoring During the Second Stage of Labor
Năstase, L., Luminos, M. L., Jugulete, G., Merişescu, M. M., & Stoicescu, S. M. (2018) · Revista de Chimie · doi:10.37358/rc.18.11.6685 · Cited by 2
Sholapurkar, S. L. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2016.09.092 · Cited by 2
Self-citationLimits of current cardiotocography interpretation call for a major rethink
Sholapurkar, S. L. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.02.048 · Cited by 2
Self-citationTrace display Doppler monitors
Sholapurkar, S. L. (2017) · British Journal of Midwifery · doi:10.12968/bjom.2017.25.5.282 · Cited by 2
Self-citationSholapurkar, S. L. (2017) · The Journal of Physiology · doi:10.1113/jp274478 · Cited by 2
Self-citationFranco, L. C., Buitrago, S. M., Arbelaez, I., Pinto, L. F., BLANCO, A. E. D., Pizarro-Peñaranda, M. C., Santamaria, L., & Trillos, C. (2024) · Journal of Pregnancy · doi:10.1155/2024/9779831 · Cited by 1
Feng, S., & Gu, J. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-05197-7 · Cited by 1
Sholapurkar, S. L. (2016) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2016.1247801
Self-citationRe: Time to optimise and enforce training in interpretation of intrapartum cardiotocograph
Sholapurkar, S. L. (2016) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.14402
Self-citationKodali, B. S., & Segal, S. (2023) · Springer eBooks · doi:10.1007/978-3-031-41893-8_11
Metadata
- Authors
- Sholapurkar, S. L.
- Affiliations
- Royal United Hospital (GB)
- Corresponding author
- Sholapurkar, Shashikant L.
- Venue
- Journal of Clinical Medicine Research
- Publisher
- Elmer Press, Inc.
- Published
- 2015
- Volume
- 7
- Issue
- 9
- Pages
- 672-680
- ISSN
- 1918-3003 (ISSN-L)
- 1918-3011
- PMC
- PMC4522983
- OpenAlex
- W1796605382
- Cited by
- 19
- References
- 43
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 1 · 2020: 1 · 2018: 3 · 2017: 5 · 2016: 4
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc
- Locations
- Journal of Clinical Medicine Research (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Neonatal and fetal brain pathology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- fetal heart rate decelerations, fetal heart rate monitoring, framing bias, confirmation bias, anchoring effect, variable decelerations, vagal reflex, intrapartum fetal monitoring, neonatal acidemia, terminology standardization
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