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临床试验/NCT06164522
NCT06164522尚未招募不适用

Prediction of Intraoperative Adhesions Before Cesarean Section: Integrating Parameters From History, Examination, and Investigations

Assiut University0 个研究点目标入组 146 人开始时间: 2024年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
146
主要终点
Predicting presence of intra-abdominal adhesions among women undergoing repeated cesarean section using several parameters.

研究概览

简要总结

To predict the presence of intra-abdominal adhesions among women undergoing repeated cesarean section using several parameters.

详细描述

One of the most frequently performed surgical procedures globally is cesarean delivery (CD). Cesarean delivery rate is increasing, which raises the prevalence of intra-abdominal adhesions . The rate of intra-abdominal adhesions is 24-83% . Adhesions cause various postoperative complications, including intestinal obstruction, pelvic pain, dyspareunia, infertility, visceral injury, delayed delivery of the newborn , prolong surgical duration, increase bleeding amount and the incidence of hysterectomy . For these reasons, obstetricians always want to identify the possible extent of adhesions before cesarean section. Although to date there was no reliable technique to predict adhesions in women undergoing repeat CD .

Methods used in the evaluation of adhesions include the previous cesarean scar features, pigmentation, width and length , ultrasound sliding sign has been used in predicting pelvic endometriosis ,Baron et al. ,used the sliding sign in predicting adhesions in women undergoing repeat CD, also Stretch marks are a type of skin alteration that occur during pregnancy.

To ensure better surgical outcomes and reduce morbidities, the accurate prediction of adhesion formations before cesarean section is important. This study aims to investigate the integration of multiple parameters, such as evaluating cesarean scars, ultrasound sliding sign, and striae gravidarum, to assess intra-abdominal adhesions. We hypothesize that employing a combination of these parameters will yield superior predictive capabilities compared to relying on a single parameter alone. By exploring a comprehensive approach to adhesion prediction, we endeavor to enhance the safety and efficacy of cesarean section procedures, ultimately improving maternal and fetal well-being.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Cross Sectional

入排标准

年龄范围
18 Years 至 35 Years(Adult)
性别
Female
接受健康志愿者

入选标准

  • Pregnant women aged from 18 to 35 years
  • Women with at least one previous C-section
  • Gestational age (≥36 weeks)
  • Planned elective cesarean section

排除标准

  • primigravida
  • Gestational age (<36 weeks)
  • Pregnant woman who had developed wound site infections following prior cesarean section

结局指标

主要结局

Predicting presence of intra-abdominal adhesions among women undergoing repeated cesarean section using several parameters.

时间窗: From January 2024 to February 2025

Detection of intra-operative adhesions before repeated cesarean section by history, examination and ultrasound

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Ahmed Mahmoud Ahmed Essa

Doctor

Assiut University

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