Functional analysis of temporal data about patient’s health condition after total knee replacement

0544805 - ÚI 2022 FR eng A - Abstrakt
Janošová, M. - Katina, Stanislav - Nečas, L.
Functional analysis of temporal data about patient’s health condition after total knee replacement.
ISCB 2021: 42nd Annual Conference of the International Society for Biostatistics: Final Programme & Book of Abstracts. Lyon: ISCB / University Lyon, 2021. s. 245-245.
[ISCB 2021: Annual Conference of the International Society for Biostatistics /42./. 18.07.2021-22.07.2021, Lyon]
Institucionální podpora: RVO:67985807

Persistent knee pain while walking or at rest, often caused by osteoarthritis (destruction of cartilage and changes of its mechanical properties), leads to total knee replacement (TKR) using arthroplasty implants. Patient Reported Outcome Measure questionnaires (PROMs) are commonly used to evaluate patient’s condition. Some of the most commonly used PROMs for patients after TKR are Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Knee Society Score (KSS). WOMAC was designed to measure patient’s degree of pain, stiffness and functional limitations of the affected joint through patient’s self-evaluation. KSS combines patient’s objective and functional characteristics and is filled by attending physician. Both of these questionnaires are used at Martin University Hospital during examinations of patients after TKR, where the data about TKR are recorded in the Slovakian Arthroplasty Register (SAR). This study includes 2295 patients, who underwent primary TKR between January 1st, 2006 and December 31st, 2020. Patients were monitored before the surgery and then approximately 3, 6, 12, 24, and 36 months after the surgery. If a revision of primary TKR recorded in SAR was performed during the course of this follow-up, the patient is excluded from the subsequent statistical analyses. Our aim is to retrospectively evaluate patient’s condition using their WOMAC scores and KSS and compare the condition and its changes through time among three structurally different types of knee implants, such as cruciate retaining, posterior stabilized condylar constrained and hinge knee implant, using functional data analysis and cubic splines. Statistical analyses were carried out using R software environment.
Trvalý link: http://hdl.handle.net/11104/0321612