Efficacy Of Suprapatellar Intramedullary Nailing For Multi-Fragmentary Proximal Tibia Fractures: A Retrospective Cohort Analysis

Authors

  • Dr Prithivi selvan Author
  • Dr.Murali Krishnan Author
  • Prof Dr Thiagarajan Pandian Author

DOI:

https://doi.org/10.64252/0pzd7926

Keywords:

Tibia, fractures, healing time, suprapatellar intramedullary nailing, fracture union rates

Abstract

Managing multi fragmentary proximal tibia fractures is challenging due to their complexity and the high risk of complications. Various surgical techniques, such as plating, external fixation, and intramedullary nailing, have been used to address these fractures. Among these, suprapatellar nailing has gained attention as an effective approach, particularly in cases where plate osteosynthesis poses a high risk of infection. This study evaluates the clinical and radiological outcomes of suprapatellar intramedullary nailing in patients with multi fragmentary proximal tibia fractures. A retrospective analysis was conducted on 5 patients who underwent this procedure. Key outcome measures included fracture union rates, healing time, complication, range of motion, and functional recovery. Results showed 100% union rate within 12 to 24 weeks postoperatively, with an average healing time of 16 weeks. Complications were minimal, with no cases of wound infections and no delayed union or non-union. Patients experienced notable improvements in their range of motion between 3 and 6 weeks after surgery. Functional recovery, assessed with Karlström-Olerud Score, averaged 85.6, reflecting favorable outcomes. Overall, suprapatellar nailing appears to be a reliable treatment option for multi fragmentary proximal tibia fractures, providing high fracture union rates, manageable complications, and promising functional recovery.

Downloads

Download data is not yet available.

Downloads

Published

2025-06-15

Issue

Section

Articles

How to Cite

Efficacy Of Suprapatellar Intramedullary Nailing For Multi-Fragmentary Proximal Tibia Fractures: A Retrospective Cohort Analysis. (2025). International Journal of Environmental Sciences, 11(10s), 298-303. https://doi.org/10.64252/0pzd7926