Analysis of factors associated with intercostal neuralgia after osteoporotic thoracic spine fracture and construction of a prediction model

  • 0Department of Orthopaedics, China-Japan Union Hospital of Jilin University, Changchun, 130033, China.

|

|

Summary

This summary is machine-generated.

Intercostal neuralgia risk increases with reduced intervertebral foraminal area/volume and fatty degeneration in thoracic osteoporotic vertebral compression fractures (OVCF). A predictive model shows good validity for assessing this risk.

Area Of Science

  • Orthopedics
  • Neurosurgery
  • Geriatrics

Background

  • Osteoporotic vertebral compression fractures (OVCF) are common in the elderly.
  • Intercostal neuralgia is a potential complication following thoracic OVCF.
  • Identifying risk factors is crucial for patient management.

Purpose Of The Study

  • To identify factors associated with intercostal neuralgia in patients with thoracic OVCF.
  • To develop and validate a predictive model for intercostal neuralgia post-thoracic fracture.

Main Methods

  • Retrospective study of 518 patients with thoracic OVCF, matched 1:1 for presence/absence of intercostal neuralgia.
  • Clinical and imaging data analyzed using t-tests and chi-square tests.
  • Logistic regression models used to identify independent associated factors and develop a prediction model.

Main Results

  • Reduced injured vertebral intervertebral foraminal area and volume, and nerve root area were independent risk factors.
  • Increased fatty degeneration ratio positively correlated with intercostal neuralgia probability.
  • The developed prediction model demonstrated a significant predictive validity (AUC = 0.851).

Conclusions

  • Morphological changes in intervertebral foramina (reduced area/volume) are linked to intercostal neuralgia in thoracic OVCF.
  • Fatty degeneration of thoracic back muscles is also associated with increased neuralgia risk.
  • The findings support the development of a predictive model for intercostal neuralgia in this patient population.