Validation of prediction tools for GI bleeding in patients on dual anti-platelet therapy after percutaneous coronary

Pedro Cortés1, Jennifer J Zeng2, Christian Karime1

  • 1Division of Internal Medicine, Mayo Clinic, Jacksonville, Florida, USA.

PubMed

Insights

Predicting gastrointestinal bleeding (GIB) after percutaneous coronary intervention (PCI) is crucial. A new SIGE score effectively predicts recurrent bleeding, which increases the risk of major adverse cardiovascular events (MACEs).

Area of Science:

  • Cardiology
  • Gastroenterology
  • Clinical Pharmacology

Background:

  • Dual anti-platelet therapy management after percutaneous coronary intervention (PCI) and gastrointestinal bleeding (GIB) presents a clinical challenge.
  • Identifying predictors of GIB and recurrent bleeding is essential for patient management.
  • Understanding the link between recurrent bleeding and major adverse cardiovascular events (MACEs) is critical.

Purpose of the Study:

  • To identify predictors of GIB and recurrent bleeding in patients undergoing PCI.
  • To determine if recurrent bleeding increases the risk of MACEs.
  • To develop a novel risk score for predicting recurrent bleeding.

Main Methods:

  • Single-center retrospective study of 536 patients undergoing PCI.
  • Logistic regression to identify predictors of GIB and recurrent bleeding.
  • Cox proportional hazards modeling to assess the predictive value of recurrent bleeding for MACEs.
  • Development and validation of the SIGE score for recurrent bleeding prediction.

Main Results:

  • PCI for acute coronary syndrome was associated with a 95% increased odds of GIB.
  • The HAS-BLED score, including labile INR and prior major bleeding, strongly predicted recurrent bleeding.
  • Recurrent bleeding was linked to a 115% increased risk of MACEs.
  • The novel SIGE score demonstrated high predictive accuracy (AUC, 0.773) for recurrent bleeding.

Conclusions:

  • The SIGE score shows promise in predicting recurrent bleeding after PCI.
  • Recurrent bleeding is a significant risk factor for MACEs.
  • Further external validation of the SIGE score is recommended.
Abstract

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