Predictors of health-related quality-of-life change after total hip arthroplasty.
Various parameters have been considered as possible predictors of health-related quality-of-life outcomes after THA in patients with hip osteoarthritis. We hypothesized the preintervention health status is the main and more homogeneous predictor of changes of the different aspects of health-related quality-of-life outcomes, mental health status has an important influence on results, whereas other sociodemographic or clinical factors had only a punctual influence. All patients who fulfilled the selection criteria completed the Medical Outcomes Study SF-36 and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) before and 6 months after the intervention. Seven hundred eighty-eight patients completed the questionnaire before the intervention and 590 completed it (74.9%) at 6 months. The preintervention score in each SF-36 and WOMAC domain and the SF-36 mental health domain predicted changes after the intervention. Female gender, having comorbidities, contralateral hip osteoarthritis, or back pain predicted less improvement on some SF-36 domains. Older age, the presence of contralateral hip osteoarthritis, or back pain predicted less improvement on some of the WOMAC domains. Preintervention health status, measured by the WOMAC or SF-36, and mental health status uniformly predicted health-related quality-of-life changes, whereas some clinical parameters predicted some domains. SF-36 and WOMAC seem to be appropriate tools for predicting THA outcomes.


METHODS
Level II, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.
Unidad de Investigación, Hospital Galdakao-Usansolo-CIBER Epidemiología y Salud Pública (CIBERESP), Barrio Labeaga s/n, 48960, Galdakao, Vizcaya, Spain. josemaria.quintanalopez@osakidetza.net
José M
JM
Quintana
Antonio
A
Escobar
Urko
U
Aguirre
Iratxe
I
Lafuente
Juan C
JC
Arenaza
D000222:Adaptation, Physiological; D000223:Adaptation, Psychological; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D019644:Arthroplasty, Replacement, Hip / Q000379:methods / Q000523:psychology*; D015331:Cohort Studies; D005260:Female; D006622:Hip Prosthesis; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015207:Osteoarthritis, Hip / Q000175:diagnosis / Q000601:surgery*; D010147:Pain Measurement; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D011182:Postoperative Care / Q000379:methods; D011237:Predictive Value of Tests; D011300:Preoperative Care / Q000379:methods; D011336:Probability; D011788:Quality of Life; D012720:Severity of Illness Index; D012737:Sex Factors; D018434:Sickness Impact Profile; D011795:Surveys and Questionnaires; D016896:Treatment Outcome