HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Predicting the risk of bleeding during dual antiplatelet therapy after acute coronary syndromes.

AbstractOBJECTIVES:
Dual antiplatelet therapy (DAPT) with aspirin + a P2Y12 inhibitor is recommended for at least 12 months for patients with acute coronary syndrome (ACS), with shorter durations considered for patients with increased bleeding risk. However, there are no decision support tools available to predict an individual patient's bleeding risk during DAPT treatment in the post-ACS setting.
METHODS:
To develop a longitudinal bleeding risk prediction model, we analy sed 9240 patients with unstable angina/non-ST segment elevation myocardial infarction (NSTEMI) from the Targeted Platelet Inhibition to Clarify the Optimal Strategy to Medically Manage Acute Coronary Syndromes (TRILOGY ACS) trial, who were managed without revasculari sation and treated with DAPT for a median of 14.8 months.
RESULTS:
We identified 10 significant baseline predictors of non-coronary artery bypass grafting (CABG)-related Global Use of Strategies to Open Occluded Arteries (GUSTO) severe/life-threatening/moderate bleeding: age, sex, weight, NSTEMI (vs unstable angina), angiography performed before randomi sation, prior peptic ulcer disease, creatinine, systolic blood pressure, haemoglobin and treatment with beta-blocker. The five significant baseline predictors of Thrombolysis In Myocardial Infarction (TIMI) major or minor bleeding included age, sex, angiography performed before randomi sation, creatinine and haemoglobin. The models showed good predictive accuracy with Therneau's C-indices: 0.78 (SE = 0.024) for the GUSTO model and 0.67 (SE = 0.023) for the TIMI model. Internal validation with bootstrapping gave similar C-indices of 0.77 and 0.65, respectively. External validation demonstrated an attenuated C-index for the GUSTO model (0.69) but not the TIMI model (0.68).
CONCLUSIONS:
Longitudinal bleeding risks during treatment with DAPT in patients with ACS can be reliably predicted using selected baseline characteristics. The TRILOGY ACS bleeding models can inform risk -benefit considerations regarding the duration of DAPT following ACS.
TRIAL REGISTRATION:
ClinicalTrials.gov identifier: https://clinicaltrials.gov/ct2/show/NCT00699998.
AuthorsJoakim Alfredsson, Benjamin Neely, Megan L Neely, Deepak L Bhatt, Shaun G Goodman, Pierluigi Tricoci, Kenneth W Mahaffey, Jan H Cornel, Harvey D White, Keith Aa Fox, Dorairaj Prabhakaran, Kenneth J Winters, Paul W Armstrong, E Magnus Ohman, Matthew T Roe, TRILOGY ACS Investigators
JournalHeart (British Cardiac Society) (Heart) Vol. 103 Issue 15 Pg. 1168-1176 (08 2017) ISSN: 1468-201X [Electronic] England
PMID28381584 (Publication Type: Journal Article, Multicenter Study, Randomized Controlled Trial)
Copyright© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Chemical References
  • Platelet Aggregation Inhibitors
  • Clopidogrel
  • Prasugrel Hydrochloride
  • Ticlopidine
Topics
  • Acute Coronary Syndrome (drug therapy, surgery)
  • Aged
  • Aged, 80 and over
  • Clopidogrel
  • Coronary Artery Bypass (methods)
  • Dose-Response Relationship, Drug
  • Double-Blind Method
  • Drug Therapy, Combination
  • Female
  • Follow-Up Studies
  • Global Health
  • Hemorrhage (chemically induced, epidemiology)
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Platelet Aggregation Inhibitors (administration & dosage, adverse effects)
  • Prasugrel Hydrochloride (administration & dosage, adverse effects)
  • Risk Assessment (methods)
  • Ticlopidine (administration & dosage, adverse effects, analogs & derivatives)
  • Time Factors

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: