Literature DB >> 32385798

Patient injuries and malfunctions associated with robotic prostatectomy: review of the manufacturer and user facility device experience database.

Hudson Pierce1, Brittany Roberts2, Douglas Scherr1, Christopher Barbieri1, Jennifer Anger3, Timothy McClure1, Bilal Chughtai4.   

Abstract

Robotic prostatectomy is the most commonly performed robotic procedure in the United States. Increasing utilization of this procedure necessitates characterization of robot malfunctions and associated patient injuries. We performed a review of adverse events reported to a publicly available database. We searched the Manufacturer and User Facility Device Experience (MAUDE) database for reported adverse events (RAE) involving the intuitive surgical system. Reports involving prostatectomy from 2014 to 2019 were extracted and analyzed for data regarding death, patient injury, and device malfunction. Of 9109 reported adverse events (RAE), 602 were extracted for robotic prostatectomy over the study period. Seven were patient deaths (1.2%), 53 (8.8%) were patient injuries (Table 1), and 542 (90.0%) were malfunctions (Table 2). Malfunctions resulted in 25 aborted cases, 21 open conversions, and 25 laparoscopic conversions (71/542, 13.1%; Fig. 1). Instrument failures comprised the majority (76.4%) of malfunctions. Seven malfunctions (1.3%) resulted in patient injury. The most common device-related injury involved the monopolar curved scissors. No reported deaths were related to robot malfunction. Instrument failures comprise majority of the malfunctions of the Da Vinci robot during robot-assisted laparoscopic prostatectomy. When malfunctions do occur they are usually recoverable and rarely lead to patient injury.

Entities:  

Keywords:  Device malfunction; Injury; MAUDE; Robotic prostatectomy; da Vinci

Year:  2020        PMID: 32385798     DOI: 10.1007/s11701-020-01088-1

Source DB:  PubMed          Journal:  J Robot Surg        ISSN: 1863-2483


  2 in total

Review 1.  Device failures associated with patient injuries during robot-assisted laparoscopic surgeries: a comprehensive review of FDA MAUDE database.

Authors:  Sero Andonian; Zeph Okeke; Deidre A Okeke; Ardeshir Rastinehad; Brian A Vanderbrink; Lee Richstone; Benjamin R Lee
Journal:  Can J Urol       Date:  2008-02       Impact factor: 1.344

2.  Mechanical failure rate of da Vinci robotic system.

Authors:  Lester S Borden; Paul M Kozlowski; Christopher R Porter; John M Corman
Journal:  Can J Urol       Date:  2007-04       Impact factor: 1.344

  2 in total
  1 in total

Review 1.  Autonomous surgery in the era of robotic urology: friend or foe of the future surgeon?

Authors:  Martin J Connor; Prokar Dasgupta; Hashim U Ahmed; Asif Raza
Journal:  Nat Rev Urol       Date:  2020-09-23       Impact factor: 14.432

  1 in total

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