Investigation of stair ascending and descending activities on the lifespan of hip implants

• Published in: Medical engineering & physics 2024-04, Vol.126, p.104142-104142, Article 104142
• Main Authors: Alpkaya, Alican Tuncay, Yılmaz, Mehmet, Şahin, Ahmet Mert, Mihçin, Dr. Şenay
• Format: Article
• Language: English
• Subjects: Arthroplasty, Replacement, Hip; Biomechanical Phenomena; Dynamic wear predict model; Finite element model; Gait; Hip Prosthesis; Humans; Longevity; Prosthesis Design; Prosthesis Failure; Stair ascending and descending; Total hip replacement
• ISSN: 1350-4533; 1873-4030
• DOI: 10.1016/j.medengphy.2024.104142

•This study makes use of experimental results in which 14 participants are recruited to perform walking, stair ascending (AS) and descending activities (DS) to extract kinematic and kinetic data for each cycle by using marker based Qualisys motion capture (MOCAP) system.•Multibody simulations are performed in the Anybody Modeling System using the Calibrated Anatomical System Technique (CAST) full body marker set.•The 3D generic musculoskeletal model used in this study is a marker-based full-body motion capture model (AMMR,2.3.1 MoCapModel) consisting of the upper extremity and the Twente Lower Extremity Model (TLEM2).•For dynamic wear modelling, Ls-Dyna modelling software is utilized to predict the linear wear rates of CoCr-on-XLPE bearing couple under stair ascending and descending activities based on the walk-to-stair ratio (15.9:1) over 5 million cycles.•The volumetric wear rates of XLPE liner under AS, DS, and walking activities over 5-Mc are predicted as 27.43, 23.22, and 18.84 respectively.•The volumetric wear rate of XLPE is predicted as 22.02 which is equivalent to 19.41% of walking, which is concluded to be included in life span estimations of implants for realistic outcomes. Total hip arthroplasty (THA) surgeries among young patients are on the increase, so it is crucial to predict the lifespan of hip implants correctly and produce solutions to improve longevity. Current implants are designed and tested against walking conditions to predict the wear rates. However, it would be reasonable to include the additional effects of other daily life activities on wear rates to predict convergent results to clinical outputs. In this study, 14 participants are recruited to perform stair ascending (AS), descending (DS), and walking activities to obtain kinematic and kinetic data for each cycle using marker based Qualisys motion capture (MOCAP) system. AnyBody Modeling System using the Calibrated Anatomical System Technique (CAST) full body marker set are performed Multibody simulations. The 3D generic musculoskeletal model used in this study is a marker-based full-body motion capture model (AMMR,2.3.1 MoCapModel) consisting of the upper extremity and the Twente Lower Extremity Model (TLEM2). The dynamic wear prediction model detailing the intermittent and overall wear rates for CoCr-on-XLPE bearing couple is developed to investigate the wear mechanism under 3D loading for AS, DS, and walking activities over 5 million cycles (Mc) by using finite element model