The Karir-joshi Classification of Thoracolumbar Fractures

Abstract Objective: This study aims to evaluate the relationship between neurological deficits and thoracolumbar fractures using the AO (Magerl) classification. It seeks to quantify neurological impairment across fracture subtypes, analyze correlations with morphological patterns, and ultimately propose a new classification system that integrates structural and neurological parameters to enhance diagnostic precision and guide management strategies. Background: Thoracolumbar fractures, particularly at the T10–L2 junction, pose a high risk of neurological injury. The AO (Magerl) classification offers a standardized framework for evaluating fracture morphology. This study aims to assess the association between AO fracture types and neurological deficits, helping refine prognostic tools and support classification updates that integrate neurological assessment into clinical decision-making. Methods: This prospective, hospital-based observational study was conducted at GMC Kota and its tertiary centers from October 2023 to May 2025. It evaluated 200 patients with thoracolumbar fractures using AO (Magerl) classification and ASIA scoring. Standardized imaging and neurological assessments were employed. Statistical analysis was performed using SPSS, with strict inclusion criteria ensuring clinical relevance and data integrity. Results: This prospective study at Government Medical College Kota (Oct 2023–May 2025) analyzed 200 thoracolumbar fracture patients using AO (Magerl) and ASIA classifications. Young males (18–30 years) and RTAs were predominant. Fracture severity correlated strongly with neurological deficits (p Conclusion: This cross-sectional study at Government Medical College Kota (Oct 2023–Mar 2025) analyzed 200 thoracolumbar fracture cases to assess neurological deficits using the AO (Magerl) and ASIA classifications. A clear correlation was found between fracture severity and neurological impairment. A new classification (Karir and Joshi et al.) integrating morphology with neurological status is proposed, warranting broader validation.