An Analysis of the FDA MAUDE Database and the Search for Cobalt Toxicity in Class 3 Johnson & Johnson/DePuy

Kevin T Kavanagh, Steve S Kraman1, Sean P Kavanagh2

  • 1University of Kentucky College of Medicine, Health Watch USA, Lexington, Kentucky.

Journal of Patient Safety
|October 12, 2018
PubMed

Insights

Systemic cobalt toxicity from hip implants was not clearly documented in FDA MAUDE data. While cardiac issues were noted, most symptoms were rare, and data quality was poor.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Public Health

Background:

  • Cobalt-chromium (CoCr) implants are used in hip replacements.
  • Concerns exist regarding systemic cobalt toxicity from these devices.
  • The FDA's MAUDE database is a source for adverse event reporting.

Purpose of the Study:

  • To determine if systemic cobalt toxicity can be identified in the FDA MAUDE database for CoCr hip implant recipients.
  • To characterize reporters and evaluate data quality within the MAUDE database for Johnson & Johnson (J&J)/DePuy devices.
  • To investigate adverse event reports linked to J&J/DePuy Pinnacle and ASR XL Acetabular hip replacement systems.

Main Methods:

  • Analyzed 83,528 adverse event reports from the FDA MAUDE database for J&J/DePuy hip implants (KWA code).
  • Created subfiles for keywords indicating CrCo devices and potential cobalt toxicity.
  • Searched for systemic cobalt toxicity symptoms (cognitive, cardiac, etc.) using keyword analysis in Microsoft Excel.

Main Results:

  • Cardiac, visual, and auditory symptoms were most frequently reported, but generally below expected prevalence.
  • Less than 4% of records with cobalt elevation/toxicity data had quantitative measurements.
  • Manufacturers submitted over 99% of reports, with attorneys being the most common reporters.

Conclusions:

  • The FDA MAUDE database did not provide clear evidence of systemic neurological or thyroid symptoms from CoCr hip implants.
  • Reported cardiomyopathy incidence was rare but concerning.
  • Data quality issues, lack of standardization, and reporting practices hinder adverse event identification.
Abstract

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