Observational studyBMC musculoskeletal disorders2025
Hip structural analysis parameters are not associated with the risk of postmenopausal female second hip fracture: a retrospective study.
Observational study in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03461237 (Second Hip Fracture Evaluation in Chinese Elderly Patients Using Quantitative Computed Tomography), which is not on this map. Not yet cited in PubMed.
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Second Hip Fracture Evaluation in Chinese Elderly Patients Using Quantitative Computed Tomography
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10 authors.
Funding
Abstract
purposePostmenopausal female patients with a history of a single hip fracture are at higher risk of a second fracture. The poorer clinical outcomes of this patient group warrants evaluating the risk of experiencing a second hip fracture. Therefore, this study aimed to investigate the effectiveness of hip structural analysis (HSA) in assessing the risk of second hip fracture in postmenopausal females.
methodsThis retrospective analysis included 188 patients selected from the Chinese Second Hip Fracture Evaluation (ClinicalTrials.gov identifier: NCT03461237, first registration/posted date: 09/03/2018). They were divided into the second hip fracture (35 cases, with a mean age of 79.33 ± 7.70 years) and the control group (153 cases, with a mean age of 73.41 ± 9.56 years). Parker Mobility Score were determined via telephone follow-up, and two computed tomography scanners were used for images acquisition. All HSA and areal bone mineral density (aBMD) parameters were calculated through Mindways QCTPRO software.
resultsThe refracture group showed increased age, decreased cross-sectional area, total hip aBMD, trochanteric aBMD, and intertrochanteric aBMD (p < 0.05). Total hip and intertrochanteric aBMD have a protective effect on the occurrence of a second hip fracture in postmenopausal women, with odd ratios of 0.61 and 0.57, respectively (p < 0.05). Incorporating HSA parameters into the baseline model (used age, type 2 diabetes mellitus, and the PMS as parameters, AUC = 0.729) does not significantly improve the performance of second hip fracture prediction (AUC = 0.748, p < 0.05 in Delong's test).
conclusionBased on our findings, HSA does not statistically correlate with the incidence of second hip fracture in postmenopausal women. Incorporating HSA parameters into the (baseline) model does not significantly improve the pridictive capabilities.
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