Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates

0544810 - ÚI 2022 FR eng A - Abstrakt
Bendová, V. - Katina, Stanislav - Nečas, L. … celkem 4 autorů
Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent Covariates.
ISCB 2021: 42nd Annual Conference of the International Society for Biostatistics: Final Programme & Book of Abstracts. Lyon: ISCB / University Lyon, 2021. s. 280-280.
[ISCB 2021: Annual Conference of the International Society for Biostatistics /42./. 18.07.2021-22.07.2021, Lyon]
Institucionální podpora: RVO:67985807

Total knee replacement (TKR) surgery is the most common treatment of osteoarthritis of the knee. Good health, as well as other factors, influence successful and prompt recovery of patients that underwent this surgery. Physicians are interested in quantifying the effect of patient’s well-being on the failure of the TKR that might come during the follow-up. Therefore, their aim is to monitor health of patient before and after the TKR surgery. Two suitable tools for the assessment of patient’s health state have been proposed: The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) along with the Knee Society Scoring System (KSS). Both have the ability to assess the subjective health state of a patient, while the KSS aspires to evaluate the objective health state as well. Our study includes data about 2295 patients, who have undergone primary TKR surgery between January 1st, 2006 and December 31st, 2019, from Orthopaedic Clinic of Martin University Hospital. The data were recorded in the Slovak Arthroplasty Register (SAR). WOMAC and KSS related questionnaires have been recorded for each patient in the study in four time points during planned examinations: before TKR surgery, three months, six months, and 12 months after TKR surgery. The aim of this registry-based study is to show the relationship of primary TKR failure on WOMAC and KSS scores, age, sex, and diagnosis by means of Cox proportional hazards model with time-dependent covariates stratified based on type of implants, such as cruciate retaining, posterior stabilized condylar constrained and hinge knee implant. Statistical analyses were carried out using R software environment.
Trvalý link: http://hdl.handle.net/11104/0321618