Total hip arthroplasty (THA) volumes continue to rise each year as the population ages and indications broaden. Increasingly, younger patients require hip replacement for conditions beyond primary osteoarthritis or fractures. As a result, the number of revision procedures is growing and is expected to increase further. Prospective data collection within this population will enable us to address key uncertainties, particularly around optimal implant selection for complex primary and revision cases. In addition, establishing a structured prospective database will allow for systematic internal auditing for quality assurance. Even simple metrics - such as verifying whether every patient received a complete diagnostic infection workup before revision surgery - could immediately enhance service quality and inform improvements to clinical pathways.
Total hip arthroplasty (THA) volumes continue to rise each year as the population ages and indications broaden. Increasingly, younger patients require hip replacement for conditions beyond primary osteoarthritis or fractures, including developmental dysplasia, avascular necrosis, post-traumatic deformities, and sequelae of childhood diseases such as femoro-acetabular impingement, septic arthritis, Legg-Calvé-Perthes disease, and slipped capital femoral epiphysis. As a result, the number of revision procedures is growing and is expected to increase further. Two distinct patient groups drive this trend. First, individuals who received a primary THA in their 60s or 70s frequently require revision in their 80s or 90s, where reduced physiological reserve and multiple comorbidities create specific perioperative challenges. Second, patients who undergo THA at a young age - often due to congenital or childhood pathology - have a long life expectancy and a higher probability of needing revision surgery later on. University Hospitals Leuven receive a substantial share of these complex cases, given our expertise in complex primary and revision hip arthroplasty and our multidisciplinary, patient-tailored approach. However, the heterogeneity of these patients - due to varying indications, implant types, bone defects, and previous procedures - makes randomized controlled trials in this field difficult to conduct. Consequently, many clinical questions remain unresolved. Prospective data collection within this population will enable us to address key uncertainties, particularly around optimal implant selection for complex primary and revision cases. In addition, establishing a structured prospective database will allow for systematic internal auditing for quality assurance. Even simple metrics - such as verifying whether every patient received a complete diagnostic infection workup before revision surgery - could immediately enhance service quality and inform improvements to clinical pathways.
Study Type
OBSERVATIONAL
Enrollment
200
Universitaire Ziekenhuizen KU Leuven
Leuven, Vlaams-Brabant, Belgium
Number of revision surgeries performed for any reason
Time frame: From enrollment to the end of the study, following 30 years of follow-up
Number of revision for aseptic loosening
Time frame: From enrollment to the end of the study, following 30 years of follow-up
Number of revision for periprosthetic joint infections (PJI) Dislocation
Time frame: From enrollment to the end of the study, following 30 years of follow-up
Overview of different treatments for periprosthetic fractures
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
Overview of surgical complications
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
Overview of medical complications
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
Length of hospital stay for (aseptic revision) THA
Recorded in days
Time frame: At the time of enrollment
Questionnaire about living situation
This questionnaire provides a general overview of the patient's living situation - Does patient lives alone or with someone else (children, partner, others) - What type of property (Homeless, house, appartment,...). the questionnaire assesses the use of home care support and specifies the types of assistance required if such support is present (answer is "Yes").
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
EQ-5D-5L health questionnaire
To evaluate mobility, self-care, usual activities, pain/discomfort and anxiety/depression. Every topic can be answered with "No", "Slight", "moderate", "severe", "not able to/Extreme". Additionally, patients provide a self-assessment of their overall health using a Visual Analogue Scale (VAS) from 0 to 100, where 0 represents the "worst health imaginable" and 100 represents the "best health imaginable."
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
Hip disability and Osteoarthritis Outcome Score (HOOS)
The Hip Disability and Osteoarthritis Outcome Score (HOOS) is a structured questionnaire designed to evaluate the symptoms and limitations experienced by patients with hip conditions, particularly osteoarthritis. The HOOS consists of 40 items divided into five subscales: Symptoms (including stiffness), Pain, Activities of Daily Living (ADL), Sport and Recreation Function, and Hip-related Quality of Life (QOL). Each item is rated on a 5-point Likert scale (0-4). The subscale scores are transformed to a 0-100 scale, where 0 represents extreme hip problems and 100 represents no hip problems.
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
Oxford Hip Score
The Oxford Hip Score (OHS) is a short 12-item survey, where each item has five possible responses. Patients are asked to reflect on their pain and functional ability over the past four weeks. Responses are typically scored from 0 to 4 (where 4 represents the best outcome) or 1 to 5. When using the 1-5 scale, item scores are summed to give a total score between 12 and 60. In this specific scoring system, a lower score indicates a better clinical outcome.
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
Number of patient readmissions
Number of patient readmissions to the hospital following (aseptic revision) THA
Time frame: At the time of enrollment
Mortality rates
All-cause mortality during the study follow-up period
Time frame: From enrollment to the end of the study, following a 30-year follow-up period
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