Predictors of excellent early outcome after total hip arthroplasty.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 22445184.
- Also identified by DOI 10.1186/1749-799X-7-13 and PMC identifier 3325868.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Not all patients gain the same degree of improvement from total hip replacement and the reasons for this are not clear. Many investigators have assessed predictors of general outcome after hip surgery. This study is unique in its quest for the predictors of the best possible early outcome. We prospectively collected data on 1318 total hip replacements. Prior to surgery patient characteristics, demographics and co-morbidities were documented. Hip function and general health was assessed using the Harris Hip score (HHS) and the Short-Form 36 respectively. The HHS was repeated at three years. We took a maximal HHS of 100 to represent an excellent outcome (102 patients). Multiple logistic regression analysis was used to identify independent predictors of excellent outcome. The two strongest predictive factors in achieving an excellent result were young age and a high pre-operative HHS (p = 0.001). It was the young and those less disabled from their arthritis that excelled at three years. When making a decision about the timing of hip arthroplasty surgery it is important to take into account the age and pre-operative function of the patient. Whether these patients continue to excel however will be the basis of future research.
Medical subject headings
- Arthroplasty, Replacement, Hip
Anatomy
- hip