Ignite Creation Date:
2025-12-24 @ 11:09 PM
Ignite Modification Date:
2025-12-25 @ 8:43 PM
Study NCT ID:
NCT04845269
Status:
COMPLETED
Last Update Posted:
2023-06-22
First Post:
2021-04-07
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Post-Stroke Osteopathy
Sponsor:
VASCage GmbH
Organization:
Study Overview
Official Title:
Post-Stroke Osteopathy: Characterization of Fractures and Changes in the Bone Microstructure After Ischemic Stroke or TIA
Status:
COMPLETED
Status Verified Date:
2023-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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.
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.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: