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@proceedings{1457356,
author = {Janošová, Markéta and Katina, Stanislav and Rovňák, Marek and Nečas, Libor},
booktitle = {International Society for Clinical Biostatistics and Australian Statistical Conference 2018},
title = {Functional analysis of patient's health condition after TKR and its development throughout time},
year = {2018}
}
TY - CONF
ID - 1457356
AU - Janošová, Markéta - Katina, Stanislav - Rovňák, Marek - Nečas, Libor
PY - 2018
TI - Functional analysis of patient's health condition after TKR and its development throughout time
N2 - 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 since May 2009. This study includes 2471 patients, who underwent primary TKR in the period of 2009-2017. Patients were monitored before the surgery and then approximately 3, 6, 12, 24, and 36 months after the surgery. Our aim is to retrospectively evaluate patient's condition using their WOMAC and KSS scores and compare the condition and its changes through time among three structurally different types of knee implants using functional data analysis and cubic splines in software R.
ER -
JANOŠOVÁ, Markéta, Stanislav KATINA, Marek ROVŇÁK a Libor NEČAS. Functional analysis of patient's health condition after TKR and its development throughout time. In \textit{International Society for Clinical Biostatistics and Australian Statistical Conference 2018}. 2018.
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