a 2018

Functional analysis of patient's health condition after TKR and its development throughout time

JANOŠOVÁ, Markéta; Stanislav KATINA; Marek ROVŇÁK a Libor NEČAS

Základní údaje

Originální název

Functional analysis of patient's health condition after TKR and its development throughout time

Autoři

JANOŠOVÁ, Markéta; Stanislav KATINA; Marek ROVŇÁK a Libor NEČAS

Vydání

International Society for Clinical Biostatistics and Australian Statistical Conference 2018, 2018

Další údaje

Typ výsledku

Konferenční abstrakt

Utajení

není předmětem státního či obchodního tajemství

Označené pro přenos do RIV

Ne

Příznaky

Mezinárodní význam
Změněno: 28. 10. 2018 13:49, Mgr. Markéta Janošová, Ph.D.

Anotace

V originále

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.

Návaznosti

MUNI/A/1204/2017, interní kód MU
Název: Matematické statistické modelování 2 (Akronym: MaStaMo2)
Investor: Masarykova univerzita, Matematické statistické modelování 2, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty