Assessing changes in subjective and objective function from pre- to post-knee arthroplasty using the Cardiff Dempster–Shafer theory classifier

The purpose of this study is to assess changes in subjective and objective function from pre- to post-knee arthroplasty (KA) using a combined classifier technique. Twenty healthy adults (50–80 years) and 31 KA patients (39–81 years) were studied (4 weeks pre- and 6 months post-KA). Questionnaire measures of subjective pain, joint stability, activity and function were collected. Objective functional assessment included goniometry, ultrasound imaging and 3-D motion analysis/inverse modelling of gait and sit–stand. An optimal set of variables were used to classify function using the Cardiff Dempster–Shafer theory (DST) method. Out of sample accuracy of the classifiers ranged between 90% and 94% for segregating healthy individuals and pre-KA patients. Post-KA subjective function improved with 74% classified as healthy. However, there was minimal improvement in objective measures (23% classified as healthy). The novel use of Cardiff DST segregated KA patients from healthy individuals and estimated changes in function from pre- to post-surgery. KA patients had improved pain and function post-operation but objective knee joint measures remained different to healthy individuals.

[1]  H. Kaiser The Application of Electronic Computers to Factor Analysis , 1960 .

[2]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[3]  S. Rose,et al.  Reliability and validity of goniometric measurements at the knee. , 1987, Physical therapy.

[4]  C. Goldsmith,et al.  Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee. , 1988, The Journal of rheumatology.

[5]  Glenn Shafer,et al.  Readings in Uncertain Reasoning , 1990 .

[6]  M P Kadaba,et al.  Measurement of lower extremity kinematics during level walking , 1990, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[7]  B. Price A First Course in Factor Analysis , 1993 .

[8]  H. K. Ramakrishnan,et al.  Comprehensive gait analysis in posterior-stabilized knee arthroplasty. , 1996, The Journal of arthroplasty.

[9]  A. Carr,et al.  Questionnaire on the perceptions of patients about total knee replacement. , 1998, The Journal of bone and joint surgery. British volume.

[10]  K. Deluzio,et al.  Gait assessment in unicompartmental knee arthroplasty patients: Principal component modelling of gait waveforms and clinical status , 1999 .

[11]  M. Damsgaard,et al.  Muscle recruitment by the min/max criterion -- a comparative numerical study. , 2001, Journal of biomechanics.

[12]  T Chau,et al.  A review of analytical techniques for gait data. Part 2: neural network and wavelet methods. , 2001, Gait & posture.

[13]  T Chau,et al.  A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods. , 2001, Gait & posture.

[14]  M. T. J. Buñuales,et al.  La clasificación internacional del funcionamiento de la discapacidad y de la salud (CIF) 2001 , 2002 .

[15]  Hartmut Witte,et al.  ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics. , 2002, Journal of biomechanics.

[16]  J. Katz,et al.  Knee range of motion after total knee arthroplasty: how important is this as an outcome measure? , 2003, The Journal of arthroplasty.

[17]  Nih Consensus Panel NIH Consensus Statement on total knee replacement December 8-10, 2003. , 2004 .

[18]  J. Osborne,et al.  Sample size and subject to item ratio in principal components analysis. , 2004 .

[19]  Nih Consensus Panel NIH Consensus Statement on total knee replacement December 8-10, 2003. , 2004, The Journal of bone and joint surgery. American volume.

[20]  L. A. Koman,et al.  Acute Pain Following Musculoskeletal Injuries and Orthopaedic Surgery , 2004 .

[21]  L. Snyder-Mackler,et al.  Quadriceps strength and the time course of functional recovery after total knee arthroplasty. , 2005, The Journal of orthopaedic and sports physical therapy.

[22]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[23]  A. Amin,et al.  Unicompartmental or Total Knee Arthroplasty?: Results from a Matched Study , 2006, Clinical orthopaedics and related research.

[24]  M. Beynon,et al.  An application of the Dempster-Shafer theory of evidence to the classification of knee function and detection of improvement due to total knee replacement surgery. , 2006, Journal of biomechanics.

[25]  Michael Damsgaard,et al.  Analysis of musculoskeletal systems in the AnyBody Modeling System , 2006, Simul. Model. Pract. Theory.

[26]  Malcolm J. Beynon,et al.  Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster-Shafer theory of evidence , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[27]  C. Terwee,et al.  Self-reported physical functioning was more influenced by pain than performance-based physical functioning in knee-osteoarthritis patients. , 2006, Journal of clinical epidemiology.

[28]  H F J M Koopman,et al.  Morphological muscle and joint parameters for musculoskeletal modelling of the lower extremity. , 2005, Clinical biomechanics.

[29]  恵子 紀国谷 国際生活機能分類(International Classification of Functioning, Disability and Health: ICF)にみた福祉・保健・医療の専門職協働における連携に関する貢献と課題 , 2007 .

[30]  J. Lewsey,et al.  The role of pain and function in determining patient satisfaction after total knee replacement. Data from the National Joint Registry for England and Wales. , 2007, The Journal of bone and joint surgery. British volume.

[31]  K. Webster,et al.  Gait analysis of patients following total knee replacement: a systematic review. , 2007, The Knee.

[32]  J. L. Astephen,et al.  Biomechanical features of gait waveform data associated with knee osteoarthritis: an application of principal component analysis. , 2007, Gait & posture.

[33]  D. Beard,et al.  Does arthroplasty type influence knee joint proprioception? A longitudinal prospective study comparing total and unicompartmental arthroplasty. , 2007, The Knee.

[34]  R. Riemer,et al.  Uncertainties in inverse dynamics solutions: a comprehensive analysis and an application to gait. , 2008, Gait & posture.

[35]  Arthur P. Dempster,et al.  A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[36]  G M Whatling,et al.  Objective functional assessment of total hip arthroplasty following two common surgical approaches: The posterior and direct lateral approaches , 2008, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[37]  L. Osternig,et al.  The effect of total knee replacement surgery on gait stability. , 2008, Gait & posture.

[38]  A. Cieza,et al.  Special section World Health Organisation (WHO) - World Association of Sleep Medicine (WASM) Recommendations - Part 1 Developing ICF Core Sets for persons with sleep disorders based on the International Classification of Functioning, Disability and Health q , 2008 .

[39]  Lianne Jones,et al.  Reduction, classification and ranking of motion analysis data: an application to osteoarthritic and normal knee function data , 2008, Computer methods in biomechanics and biomedical engineering.

[40]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[41]  M. Damsgaard,et al.  Kinematic analysis of over-determinate biomechanical systems , 2009, Computer methods in biomechanics and biomedical engineering.

[42]  C. Schwartz,et al.  Traditional assessment of health outcome following total knee arthroplasty was confounded by response shift phenomenon. , 2009, Journal of clinical epidemiology.

[43]  C. Hubley‐Kozey,et al.  Alterations in neuromuscular patterns between pre and one-year post-total knee arthroplasty. , 2010, Clinical biomechanics.

[44]  L. Snyder-Mackler,et al.  The Chitranjan Ranawat Award: The Nonoperated Knee Predicts Function 3 Years after Unilateral Total Knee Arthroplasty , 2010, Clinical orthopaedics and related research.

[45]  M. Stokes,et al.  Assessing contractile ability of the quadriceps muscle using ultrasound imaging , 2010, Muscle & nerve.

[46]  F. Cicuttini,et al.  Higher dynamic medial knee load predicts greater cartilage loss over 12 months in medial knee osteoarthritis , 2011, Annals of the rheumatic diseases.

[47]  M. Stokes,et al.  Predicted knee kinematics and kinetics during functional activities using motion capture and musculoskeletal modelling in healthy older people. , 2011, Gait & posture.

[48]  C. Hubley‐Kozey,et al.  The effect of total knee arthroplasty on knee joint kinematics and kinetics during gait. , 2011, The Journal of arthroplasty.

[49]  L. Snyder-Mackler,et al.  Measuring functional improvement after total knee arthroplasty requires both performance-based and patient-report assessments: a longitudinal analysis of outcomes. , 2011, The Journal of arthroplasty.

[50]  M. Pagnano,et al.  The risk of subsequent joint arthroplasty after primary unilateral total knee arthroplasty, a 10-year study. , 2011, The Journal of arthroplasty.

[51]  Mark Taylor,et al.  Development of a statistical model of knee kinetics for applications in pre-clinical testing. , 2012, Journal of biomechanics.

[52]  P. Nair,et al.  A large scale finite element study of a cementless osseointegrated tibial tray. , 2013, Journal of biomechanics.

[53]  M. Stokes,et al.  Joint loading asymmetries in knee replacement patients observed both pre- and six months post-operation. , 2013, Clinical biomechanics.

[54]  B. Koopman,et al.  A subject-specific musculoskeletal modeling framework to predict in vivo mechanics of total knee arthroplasty. , 2015, Journal of biomechanical engineering.