[Evaluation of long-term adverse cardiovascular events risk after elective percutaneous coronary intervention]

E O Vershinina1, A N Repin1

  • 1Federal State Budgetary Science Institution "Tomsk Research Institute of Cardiology of the Siberian Branch of the Russian Academy of Science".

Kardiologiia
|June 13, 2018
PubMed

Insights

A new risk model predicts long-term adverse cardiovascular events after percutaneous coronary intervention (PCI). It identifies high-risk patients needing proactive follow-up strategies for better outcomes.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Public Health

Background:

  • Elective percutaneous coronary intervention (PCI) is a common procedure for coronary artery disease.
  • Long-term adverse cardiovascular events remain a concern for patients post-PCI.
  • Predicting these events is crucial for optimizing patient management and follow-up.

Purpose of the Study:

  • To analyze long-term outcomes following elective PCI.
  • To identify predictors of major adverse cardiovascular events (MACCE).
  • To develop a predictive model for long-term MACCE risk stratification.

Main Methods:

  • Retrospective study of 151 patients 6 years post-elective PCI.
  • Data collected via medical records and telephone interviews.
  • MACCE defined as cardiovascular death, acute coronary syndrome, or stroke.

Main Results:

  • 40.4% of patients experienced MACCE.
  • Key predictors included chronic kidney disease, contrast-induced acute kidney injury, high C-reactive protein, restenosis, COPD, and family history of CVD.
  • A predictive model incorporating family history, statin use, blood glucose, and contrast-induced nephropathy risk achieved an AUC of 0.852.

Conclusions:

  • A validated risk stratification model can identify patients at high risk for adverse cardiovascular events after elective PCI.
  • This model facilitates the timely implementation of intensified follow-up strategies.
  • Proactive management based on this model can improve long-term patient outcomes.
Abstract

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