Prediction of Intraoperative Adhesions Before CS

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

146 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-01-01

Study Completion Date

2025-02-28

Brief Summary

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

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Detailed Description

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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.

Conditions

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Abdominal Adhesion

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Interventions

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Abdominal ultrasound

Abdominal ultrasound to detect sliding sign

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

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