PROGNOSTIC CRITERIA AND MATHEMATICAL MODELING FOR OPTIMIZATION OF HIP JOINT ARTHROPLASTY IN DEGENERATIVE AND INFLAMMATORY DISEASES

Authors

  • Yusupov Sirojiddin Yunusovich Author

Abstract

The study focuses on the development and application of prognostic criteria and mathematical modeling to optimize hip joint arthroplasty outcomes in patients with degenerative and inflammatory diseases. A cohort of 93 patients with lower limb length discrepancies exceeding 3 cm was analyzed to identify critical factors affecting postoperative results. These factors include preoperative limb shortening severity, duration of the disease, tissue rigidity, prior surgical interventions, and neurological status. The results indicate that excessive limb lengthening, particularly in cases with significant preoperative shortening, increases the risk of pain, limited joint mobility, and reduced functional outcomes. The application of predictive algorithms enables precise surgical planning by integrating patient-specific data, minimizing complications, and improving postoperative functionality. This approach provides a framework for enhancing the effectiveness of surgical interventions and long-term patient outcomes.

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Published

2025-01-25