Construction and validation of a prediction model for in-stent restenosis following coronary stent implantation during dual antiplatelet therapy - Takeaways - MDSpire

Construction and validation of a prediction model for in-stent restenosis following coronary stent implantation during dual antiplatelet therapy

  • By

  • Zhuoyi Zhang

  • Yalin Huang

  • Yumin Ye

  • Zhenhua Wang

  • May 4, 2026

  • 0 min

Share

  • 1

    The study developed a predictive model for in-stent restenosis (ISR) using thromboelastography parameters and clinical indicators.

  • 2

    Out of 401 patients studied, 137 (34.2%) experienced ISR after drug-eluting stent implantation.

  • 3

    Key predictors identified for ISR included low ADP and AA inhibition rates, reaction time, and age.

  • 4

    The model demonstrated good discrimination with an area under the curve of 0.752 and stable performance upon validation.

  • 5

    This predictive model aids in identifying high-risk ISR patients, enhancing individualized antiplatelet therapy and management.

Original Source(s)

Construction and validation of a prediction model for in-stent restenosis following coronary stent implantation during dual antiplatelet therapy

  • by Zhuoyi Zhang, Yalin Huang, Yumin Ye, Zhenhua Wang

  • May 4, 2026

Related Content

Recent advances in percutaneous coronary intervention for modernizing coronary physiology-guided and device-based strategies for coronary revascularization

Complete revascularization and heart failure risk in acute coronary syndrome across the ejection fraction spectrum: focus on LVEF-dependent effects

Spontaneous Coronary Artery Dissection in an Underrepresented Region: Insights from the Serbian (RS) SCAD Registry