Analysis of root causes of adverse events with Mazor X and Mazor X stealth edition-guided spine surgeries: an FDA

Apratim Maity1, Ethan D L Brown2, Max Ward2

  • 1Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, USA. amaity@northwell.edu.

Abstract

Insights

Adverse events with Mazor X surgical robots are often due to external factors and user error, particularly affecting the lower spine. Improved surgeon training is crucial for enhancing patient safety and reducing complications.

Area of Science:

  • Spinal surgery
  • Robotic surgery
  • Medical device safety

Background:

  • The Mazor X (MX) and Mazor X Stealth Edition (MXSE) are robotic guidance systems used in spinal surgery.
  • Understanding adverse events associated with these systems is critical for patient safety.

Purpose of the Study:

  • To analyze adverse events linked to the Mazor X (MX) and Mazor X Stealth Edition (MXSE) robotic guidance systems.
  • To identify root causes, vertebral distribution, surgical delays, robot abandonment, and patient outcomes associated with these events.

Main Methods:

  • Analysis of 330 adverse events reported in the Manufacturer and User Facility Device Experience (MAUDE) database for MX and MXSE systems.
  • Categorization of events based on root causes, vertebral involvement, surgical impact, and patient outcomes.

Main Results:

  • External root causes predominated (35% MX, 52% MXSE), with user error being the most frequent.
  • Adverse events most commonly affected the L3-L5 vertebrae, with medial or lateral deviations.
  • Motor deficits were the primary outcome for MX, while sensory deficits were more common for MXSE. Two deaths were linked to MX, none to MXSE.

Conclusions:

  • The MAUDE database provides valuable insights into the types and root causes of adverse events related to medical devices like the Mazor X.
  • User-related errors are a significant factor in adverse events, highlighting the need for enhanced surgeon training.
  • Understanding adverse event patterns and their origins is essential for improving patient safety and reducing complication rates in robotic spinal surgery.