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Malfunction Events in the US FDA MAUDE Database: How Does Robotic Gynecologic Surgery Compare with Other Specialties?
Jasmine Correa1, Chade Aribo1, Mallory Stuparich1
1Department of Obstetrics and Gynecology (Drs. Correa, Aribo, Stuparich, Nahas, and Behbehani), University of California, Riverside, California.
Most da Vinci robot malfunction events (MEs) occur intraoperatively, often due to instrument issues. Patient injury rates were similar between gynecologic and other surgeries, with no significant differences in procedure completion methods.
Area of Science:
- Robotic Surgery
- Surgical Technology
- Patient Safety
Background:
- The da Vinci Surgical System is widely used across various surgical specialties.
- Understanding malfunction events (MEs) is crucial for improving patient safety and surgical outcomes.
- The Manufacturer and User Facility Device Experience (MAUDE) database serves as a vital resource for tracking device-related adverse events.
Purpose of the Study:
- To review da Vinci robot malfunction events (MEs) reported to the FDA MAUDE database between 2010 and 2020.
- To compare the characteristics of MEs in gynecologic surgery with those in other surgical specialties.
- To identify the primary causes and consequences of robotic system malfunctions.
Main Methods:
- A retrospective review of 679 da Vinci robot malfunction event reports from the FDA MAUDE database (2010-2020).
- Analysis focused on intraoperative events, causes of malfunction (robotic, instrument, accessory, user error), and impact on procedure completion.
- Comparative analysis between gynecologic surgery and other surgical specialties regarding ME characteristics and patient outcomes.
Main Results:
- Most MEs (81.7%) occurred intraoperatively, predominantly due to robotic instrument malfunction (84.5%), often necessitating an instrument switch (30%).
- Conversion to open or laparoscopic surgery was required in 4.4% of cases. Patient injury occurred in 15.6% of MEs, with 47.4% being Clavien-Dindo grade III+.
- No significant differences were observed in intraoperative issue resolution, robotic completion rates, or patient injury rates between gynecologic and other surgical specialties (p > 0.05).
Conclusions:
- Robotic instrument malfunctions are the leading cause of intraoperative da Vinci system MEs, frequently requiring instrument replacement.
- While most surgeries are completed robotically, conversions to alternative approaches occur in a small percentage of cases.
- Patient injury rates and overall procedural outcomes related to MEs do not differ significantly between gynecologic surgery and other specialties utilizing the da Vinci system.
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