DOS 2017

DOS Kongressen 2017 ·

161

Women and patients with high BMI have the lowest

preoperative forgotten joint score prior to total hip

arthroplasty

Dana Li, Anders Troelsen, Lina Ingelsrud , Henrik Husted, Kirill Gromov

Department of orthopedic surgery, Hvidovre hospital

Background:

The Forgotten Joint Score (FJS) is a measurement for patients’

awareness of their joint in daily life. Identifying factors that can explain preop-

erative FJS levels, can potentially help the clinician to better prioritize patients

for THA (Total Hip Arthroplasty).

Purpose / Aim of Study:

The purpose of this study was to identify possible

factors that explain the variance of preoperative FJS levels and evaluate the

relationship between preoperative FJS and other preoperative Patient Reported

Outcome Measures (PROMs) such as Oxford Hip Score (OHS), Harris Hip Score

(HHS), EQ-5D and EQ-VAS.

Materials and Methods:

Four-hundred and fourty-four hips with completed

preoperative PROMs and radiographs undergoing primary unilateral Total Hip

Arthroplasty (THA) between December 2014 and June 2016 were included in

the study. Age, gender, Body Mass Index (BMI), FJS, OHS, HHS, EQ-5D, EQ-VAS

were obtained prior to surgery. Tönnis osteoarthritis grade and joint space width

were evaluated on preoperative radiographs. A multiple regression analysis was

performed to identify factors that could explain the variance of preoperative FJS

and simple linear regressions were performed to predict preoperative FJS from

other preoperative PROMs.

Findings / Results:

Females and patients with high BMI had the lowest

preoperative FJS (p < 0.005). Preoperative FJS was best predicted by OHS

(R^2=49.3) followed by HHS (R^2=40.3), EQ-5D (R^2=22.7) and lastly by

EQ-VAS (R^2=7.9)(p < 0.005).

Conclusions:

Women and patients with high BMI had the lowest preoperative

forgotten hip joint score and were hence more aware of their hip. FJS had the

best correlation to OHS followed by HHS and had the worst correlation to EQ-

VAS. This information may be used for improved patient selection.

No conflicts of interest reported

113.