Background: Preterm labor represents one of the most likely causes for prenatal hospitalization. Previously, the accuracy of cervical length measurement in predicting preterm birth was thoroughly examined. The current study aimed to compare static and dynamic cervical assessment in prediction and management of preterm labor.Methods: The present study was prospective comparative study and conducted on (75) pregnant female patients recruited from the antenatal clinic of El-Shatby Maternity University hospital in the period from October 2021 till August 2022. The patients included in the study were divided into three groups; the first group included (25) patients and all were subjected to static cervical assessment, the second group included (25) patients and all were subjected to dynamic cervical assessment and the last group included (25) patients and all were subjected to interval dynamic cervical assessment. All groups are almost matched in their general characteristics. All groups received tocolysis in the form of nifedipine slow-release tablets 20 mg twice daily. Conventional static and dynamic transvaginal ultrasound assessment of cervical length (CL) was done.Results: There were inverse relationships between gestational age (GA), fundal level (FL) and mean gestational age (MGA) with the latency period but there was a direct relationship between the parity and the static cervical length in all the studied groups. There was a statistically significant difference between the studied groups regarding their means of latency period in those with static cervical length >1.5-2.5 cm (most of cases in all groups). Although there was statistically significant difference between group A, B and C as regard their means of static and dynamic cervical length.Conclusions: The longer the latency period, the lengthier the cervical length. The latency period had an inverse correlation with gestational age. There was also a direct relationship among parity and cervical length. The cervical estimation using the fundal pressure method, dynamic cervical length, is more enlightening than the interval approach.
Introduction: Excess body fat has been implicated in mediating irregular ovulation and menstruation. The aim of the current work was to study the potential impact of body fat percentage on the serum level of kisspeptin hormone and on the size of the ova, at day 11 of the menstrual cycle in females. Patients and Methods: The study was performed on 80 females, distributed into 3 groups. Group I (control): 20 females with regular menstrual cycles; Group II: 30 females with BMI < 30, with irregular menstrual cycles and Group III: 30 females with BMI ≥30 with irregular menstrual cycles. Females were subjected to detailed history taking, examination and investigations. A food frequency questionnaire was filled. Results: In patients having irregular menstruation (Group II and III), body fat percentage was elevated compared to the control group. They also had more abdominal adiposity. Their mean serum Kisspeptin level as well as the mean size of their ovarian follicles on day 11 were significantly lower compared to group I . Group II and III patients also had a significantly high intake of carbohydrates and a significantly lower intake of vegetables and fruits, compared to group I females. Conclusion:High body fat percentage more than 32 % might contribute to irregular ovulation via decreasing kisspeptin secretion and consequently reducing the size of ovarian follicle at day 11 of the menstrual cycle.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.