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Dataset Information

Predicting long-term bleeding after percutaneous coronary intervention.


ABSTRACT:

Objectives

To construct a model to predict long-term bleeding events following percutaneous coronary intervention (PCI).

Background

Treatment with dual antiplatelet therapy following PCI involves balancing the benefits of preventing ischemic events with the risks of bleeding. There are no models to predict long-term bleeding events after PCI.

Methods

We analyzed 1-year bleeding outcomes from 3,128 PCI procedures in the Patient Risk Information Services Manager (PRISM) observational study. Patient-reported bleeding events were categorized according to Bleeding Academic Research Consortium (BARC) definitions. Logistic regression analysis was used to develop a model predicting BARC ≥ 1 bleeding.

Results

BARC 0, 1, 2 or 3 bleeding was observed in 574 (18.4%); 2382

SUBMITTER: Sharma PK 

PROVIDER: S-EPMC5813282 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature