APPLICATION OF THE SIMPLE HIP-SPINE CLASSIFICATION TO AN AUSTRALIAN SAMPLE TO DETERMINE LOCAL PATIENT-SPECIFIC CUP ORIENTATION REQUIREMENTS

Autor: M. Hardwick-Morris, J. Twiggs, B. Miles, E. Jones, W. J. M. Bruce, W. L. Walter
Rok vydání: 2023
Zdroj: Orthopaedic Proceedings. :9-9
ISSN: 2049-4416
1358-992X
DOI: 10.1302/1358-992x.2023.3.009
Popis: In 2021, Vigdorchik et al. published a large multicentre study validating their simple Hip-Spine Classification for determining patient-specific acetabular component positioning in total hip arthroplasty (THA). The purpose of our study was to apply this Hip-Spine Classification to a sample of Australian patients undergoing THA surgery to determine the local acetabular component positioning requirements. Additionally, we propose a modified algorithm for adjusting cup anteversion requirements.790 patients who underwent THA surgery between January 2021 and June 2022 were assessed for anterior pelvic plane tilt (APPt) and sacral slope (SS) in standing and relaxed seated positions and categorized according to their spinal stiffness and flatback deformity. Spinal stiffness was measured using pelvic mobility (PM); the ΔSS between standing and relaxed seated. Flatback deformity was defined by APPt According to the Vigdorchik simple Hip-Spine classification groups, we found: 73% Group 1A, 19% Group 1B, 5% Group 2A, and 3% Group 2B. Therefore, under this classification, 27% of Australian THA patients would have an elevated risk of dislocation due to spinal deformity and/or stiffness. Under our modified definition, 52% patients would require increased cup anteversion to address spinal stiffness.The Hip-Spine Classification is a simple algorithm that has been shown to indicate to surgeons when adjustments to acetabular cup anteversion are required to account for spinal stiffness or flatback deformity. We investigated this algorithm in an Australian population of patients undergoing THA and propose a modified approach: increasing cup anteversion by 1° for every degree the patient's PM is
Databáze: OpenAIRE
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