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Are all Cages Created Equal? Analysis of Cervical Cage Malfunctions Using FDA MAUDE Database
Victor Ungurean1, Amit S Piple1, Oluwatodimu Richard Raji1,2
1The Taylor Collaboration, San Francisco, CA.
Spine
|March 27, 2023
Summary
Cervical cage breakage and migration are common implant malfunctions, particularly with poly-ether-ether-ketone (PEEK) materials. This highlights the need for improved FDA evaluation of spinal implants and instrumentation before market approval.
Area of Science:
- Spinal Surgery
- Biomaterials Science
- Medical Device Regulation
Background:
- The Food and Drug Administration (FDA) monitors cervical interbody implants for safety and efficacy.
- Intraoperative malfunctions of these devices can occur and may be overlooked.
- Understanding device failure modes is crucial for patient safety and regulatory oversight.
Purpose of the Study:
- To analyze cervical cage failure rates using a national database of device malfunctions.
- To identify specific manufacturers and design characteristics associated with higher failure rates.
- To assess implant performance relative to market share and manufacturer revenue.
Main Methods:
- A retrospective analysis of the FDA's Manufacturer and User Facility Device Experience (MAUDE) database from 2012 to 2021.
- Categorization of cervical cage malfunctions by failure type, design, and manufacturer.
- Calculation of failure-to-market share and failure-to-revenue indices for comparative analysis.
Main Results:
- Over 1200 cervical cage malfunctions were analyzed, with breakage (28.9%) and instrumentation-related failures (26.2%) being most common.
- Poly-ether-ether-ketone (PEEK) cages showed higher failure rates for migration and breakage compared to titanium.
- Specific manufacturers (Seaspine, Zimmer-Biomet, K2M, LDR) exceeded failure thresholds.
Conclusions:
- Implant breakage is the primary cause of cervical cage malfunction.
- PEEK cages demonstrate a higher propensity for breakage and migration than titanium.
- Failures often occur intraoperatively, emphasizing the need for robust FDA pre-market evaluation under functional loads.

