Reflections on surgery for hiatal hernia.

Area of Science:

• Gastroenterology and Surgical Innovation
• Medical Device Technology
• Artificial Intelligence in Surgery

Background:

• Gastroesophageal reflux disease (GERD) and hiatal hernias are prevalent, chronic conditions significantly impacting quality of life.
• Impaired antireflux barrier function is the primary cause of GERD symptoms and complications.
• Accurate diagnosis requires a multidisciplinary approach to assess anatomical defects, motility, and reflux severity.

Purpose of the Study:

• To review current diagnostic and therapeutic strategies for GERD and hiatal hernias.
• To evaluate the efficacy and safety of surgical and device-based interventions.
• To explore the emerging role of artificial intelligence in managing these conditions.

Main Methods:

• Comprehensive multidisciplinary assessment including endoscopy, manometry, and pH monitoring.
• Laparoscopic surgical management (crural repair, fundoplication) for refractory or complicated cases.
• Evaluation of novel devices (LINX, RefluxStop) and surgical techniques (robotic-assisted).

Main Results:

• Laparoscopic fundoplication effectively controls reflux but may cause dysphagia or gas-bloat.
• Partial fundoplication offers comparable control with fewer side effects in specific patients.
• Novel devices show promise for lower esophageal sphincter augmentation.
• The role of mesh in hiatal repair is debated; robotic surgery offers precision but higher costs.
• AI shows potential for improving surgical planning and outcomes.

Conclusions:

• Surgical and device-based interventions can restore the antireflux barrier in selected patients.
• Treatment choice should consider patient-specific factors like esophageal motility.
• AI is poised to enhance the standardization and efficacy of GERD and hiatal hernia management.