Predictors of Failure in Ultrasound-Guided Hydrostatic Reduction of Intussusception in Children: Retrospective

Belachew Dejene Wondemagegnehu1, Ephrem Nidaw Kerego2, Tihtina Negussie Mammo1

  • 1Department of Surgery, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Insights

Currant jelly stool, ileo-ileo colic intussusception, pathologic lead point, and abdominal distention predict failed ultrasound-guided hydrostatic reduction in children. These factors are crucial for identifying cases likely to require alternative interventions.

Area of Science:

  • Pediatric Gastroenterology
  • Medical Imaging
  • Surgical Outcomes

Background:

  • Intussusception is a common surgical emergency in children.
  • Ultrasound-guided hydrostatic reduction is a primary treatment modality.
  • Predicting reduction failure is essential for timely intervention.

Purpose of the Study:

  • To identify key predictors of failed ultrasound-guided hydrostatic reduction in pediatric intussusception.
  • To improve patient management by understanding factors associated with treatment failure.

Main Methods:

  • Retrospective review of 174 children undergoing ultrasound-guided hydrostatic reduction.
  • Analysis of demographic, clinical, and sonographic findings using logistic regression.
  • Inclusion of variables such as intussusception type, lead point, and stool characteristics.

Main Results:

  • The overall success rate for hydrostatic reduction was 81.6%.
  • Significant predictors of failure included currant jelly stool, ileo-ileo colic intussusception, pathologic lead point, and abdominal distention.
  • Factors like sex, vomiting, diarrhea, and lymph nodes showed no association with reducibility.

Conclusions:

  • Currant jelly stool, ileo-ileo colic intussusception, pathologic lead point, and abdominal distention are critical predictors of failed hydrostatic reduction.
  • These findings aid in clinical decision-making for pediatric intussusception management.
  • Early identification of these predictors can guide surgical planning and improve outcomes.
Abstract