Development of a Risk Stratification Model for Coronary In-Stent Restenosis Based on Clinical, Laboratory, and

Natalya Zemlyanskaya1, Viktor Zemlyanskiy2, Marat Aripov3

  • 1Department of General Medical Practice with a Course of Evidence-Based Medicine, NJSC "Astana Medical University", Astana 010000, Kazakhstan.

Summary

A new risk model identifies predictors of coronary in-stent restenosis (ISR) after percutaneous coronary intervention (PCI). This tool helps stratify patient risk using clinical, laboratory, and procedural factors for better long-term outcomes.