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The sudden biomechanical inactivation, direct neuro-humoral effects and sustained systemic stress reaction, which commonly occur after stroke or TIA, all may be of relevance in triggering alterations in bone metabolism and remodelling of bone microstructure.
The objectives of this observational pilot study are to characterize falls and fractures and their circumstances (sex and age specific incidence, time course, risk conditions, localization) in ischemic stroke patients, study changes in the bone microstructure after ischemic stroke supported by high-resolution peripheral quantitative Computer Tomography, unravel a molecular mechanisms underlying the increased fracture risk (focus on Wnt-signaling and ß-adrenergic projection), establish risk factors to estimate the risk of falls based on information from gait analysis as well as construct deep learning algorithms to identify bone microstructure parameters for predicting fractures.
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