Objective: To investigate the relation between changes in Doppler parameters of fetal and uterine arteries and development of persistent non-reassuring fetal heart rate (FHR) pattern during induction of labor with dinoprostone (Propess) in pregnancies at >or=41 weeks gestation.
Design: Prospective cohort study.
Setting: Etlik Zubeyde Hanim Women's Hospital, Turkey.
Sample: One hundred forty-one prolonged pregnancies.
Methods: Doppler parameters of umbilical, middle cerebral, and uterine arteries were measured before and 4-6 hours after dinoprostone application between uterine contractions. Non-reassuring FHR pattern and persistent non-reassuring FHR pattern criteria were defined based on NICE 2007 guidelines. Women with successful spontaneous vaginal delivery were recruited as a control group (n=108), while women who underwent cesarean delivery due to persistent non-reassuring FHR pattern were recruited as a study group (n=15).
Main Outcome Measures: Prediction of non-reassuring FHR pattern with Doppler analysis of uterine and fetal arteries.
Results: After dinoprostone application there was significant enhancement in uterine artery resistance index (RI) in the study group compared to the control group (p=0.002). Receiver operating characteristics curve analysis identified a uterine artery RI increase value of 0.11 as the optimal threshold for prediction of persistent non-reassuring FHR pattern with 73.3% sensitivity and 69.4% specificity. Logistic regression analysis demonstrated that an increase in the uterine artery RI was predictive for persistent non-reassuring FHR pattern (odds ratio (OR) 4.97; 95% CI 1.5-16.8).
Conclusion: Acute increase in uterine artery RI due to dinoprostone use may end with persistent non-reassuring FHR pattern in prolonged pregnancies. This may allow earlier prediction of persistent non-reassuring FHR pattern development and risk assessment.
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http://dx.doi.org/10.1080/00016340903100347 | DOI Listing |
Heliyon
December 2024
Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Using discrete fractional calculus, a wide variety of physiological phenomena with various time scales have been productively investigated. In order to comprehend the intricate dynamics and activity of neuronal processing, we investigate the behavior of a slow-fast FitzHugh-Rinzel (FH-R) simulation neuron that is driven by physiological considerations via the Caputo fractional difference scheme. Taking into account the discrete fractional commensurate and incommensurate mechanisms, we speculate on the numerical representations of various excitabilities and persistent activation reactions brought about by the administered stimulation.
View Article and Find Full Text PDFNovel Insights Continuous intrapartum fetal heart rate assessment by fetal scalp electrode may record arrythmias like recurrent atrial ectopic beats and depict an increased fetal heart rate variability mimicking a ZigZag pattern. Introduction Fetal scalp electrode (FSE) is considered the gold standard for the intrapartum monitoring of the fetal heart rate (FHR) being associated with the lowest rate of signal loss and artifacts including the recording of the maternal heart rate. FSE acquires a fetal electrocardiogram and evaluates the time intervals between successive R waves.
View Article and Find Full Text PDFSchizophr Res
December 2024
Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St, Pittsburgh, PA 15213, United States of America. Electronic address:
Cumulative research finds that exposure to childhood trauma, sleep dysfunction, and high stress levels are prevalent in youth diagnosed with and at-risk for psychotic disorders. However, few studies have investigated the association between nightly sleep and moment-to-moment stress in youth who are at familial high-risk (FHR) for psychotic disorders with varying levels of exposure to childhood trauma. The current study examined the day-to-day associations between trauma severity, nightly sleep duration, and next-day momentary stress in 19 FHR and 19 non-psychiatric youth (ages 13-19 years, 66 % girls).
View Article and Find Full Text PDFBiomed Tech (Berl)
November 2024
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Objectives: This study aims to develop a multimodal deep learning-based algorithm for detecting specific fetal heart rate (FHR) events, to enhance automatic monitoring and intelligent assessment of fetal well-being.
Methods: We analyzed FHR and uterine contraction signals by combining various feature extraction techniques, including morphological features, heart rate variability features, and nonlinear domain features, with deep learning algorithms. This approach enabled us to classify four specific FHR events (bradycardia, tachycardia, acceleration, and deceleration) as well as four distinct deceleration patterns (early, late, variable, and prolonged deceleration).
Early Hum Dev
November 2024
BC Children's Hospital Research Institute, Vancouver, Canada; Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, Canada. Electronic address:
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