Osteoporotic Vertebral Fracture, Prediction Model
Conditions
Brief summary
Retrospectively collecting clinical data from post-PVA (Percutaneous Vertebroplasty) patients, recording incidences of secondary vertebral fractures, and conducting statistical analysis to create a risk prediction model for recurrent fractures.
Interventions
OTHERNo interventions
All procedures are observation. No intervention in this study.
Sponsors
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Meets the diagnostic criteria for primary osteoporosis as per the Osteoporosis Diagnosis and Treatment Guidelines (2022); 2. No history of high-energy trauma; 3. Patient complains of pain in the lumbar region, confirmed by MRI showing a newly developed vertebral fracture from T5 to L5 (i.e., MRI shows low signal on T1 and high or slightly high signal on T2); 4. Has undergone Percutaneous Vertebroplasty (PVA) treatment.
Exclusion criteria
1. Incomplete imaging or medical record data; 2. History of spinal surgeries other than PVA; 3. Pre-existing symptoms of spinal cord compression or nerve root injury; 4. Patients undergoing PVA treatment due to conditions such as tumors, vascular malformations, infections, or symptomatic Schmorl's nodes; 5. Chronic conditions like Kummell's disease or non-union of old fractures; 6. Concurrent vertebral burst fractures; 7. Diagnosis of central nervous system diseases such as dementia or stroke before or during the follow-up period post-PVA procedure; 8. History of violent trauma after PVA procedure.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| secondary vertebral fractures | 2 years post-operative | Recording the secondary vertebral fractures |
Countries
China
Contacts
Primary ContactChunhai Li, MD
Backup Contacthanwen cheng, Master
Outcome results
None listed