Bleeding Severity in Percutaneous Coronary Intervention (PCI) and Its Impact on Short-Term Clinical Outcomes.
Shashank MuraliSara VogrinSamer NoamanDiem T DinhAngela L BrennanJeffrey LefkovitsChristopher M ReidNicholas CoxWilliam ChanPublished in: Journal of clinical medicine (2020)
Bleeding severity in patients undergoing percutaneous coronary intervention (PCI), defined by the Bleeding Academic Research Consortium (BARC), portends adverse prognosis. We analysed data from 37,866 Australian patients undergoing PCI enrolled in the Victorian Cardiac Outcomes Registry (VCOR), and investigated the association between increasing BARC severity and in-hospital and 30-day major adverse cardiac and cerebrovascular events (MACCE) (a composite of mortality, myocardial infarction, stent thrombosis, target vessel revascularisation, or stroke). Independent predictors associated with major bleeding (BARC groups 3&5), and MACCE were also assessed. There was a stepwise increase in in-hospital and 30-day MACCE with greater severity of bleeding. Independent predictors of bleeding included female sex (Odds Ratio (OR) 1.34), age (OR 1.02), fibrinolytic therapy (OR 1.77), femoral access (OR 1.51), and ticagrelor (OR 1.42), all significant at the p < 0.001 level. Following adjustment of clinically important variables, BARC 3&5 bleeds (OR 4.37) were still predictive of cumulative in-hospital and 30-day MACCE. In conclusion, major bleeding is an uncommon but potentially fatal PCI complication and was independently associated with greater MACCE rates. Efforts to mitigate the occurrence of bleeding, including radial access and judicious use of potent antiplatelet therapies, may ameliorate the risk of short-term adverse clinical outcomes.
Keyphrases
- atrial fibrillation
- percutaneous coronary intervention
- acute coronary syndrome
- st segment elevation myocardial infarction
- acute myocardial infarction
- antiplatelet therapy
- st elevation myocardial infarction
- coronary artery disease
- patients undergoing
- coronary artery bypass grafting
- healthcare
- heart failure
- adverse drug
- emergency department
- left ventricular
- cardiovascular events
- type diabetes
- adipose tissue
- stem cells
- bone marrow
- machine learning
- pulmonary embolism
- risk factors
- artificial intelligence
- brain injury
- subarachnoid hemorrhage
- insulin resistance
- skeletal muscle
- cell therapy
- big data
- coronary artery bypass
- deep learning