Risk factors and clinical outcomes in chronic coronary and peripheral artery disease: An analysis of the randomized, double-blind COMPASS trial.

AIMS: Secondary prevention in patients with coronary artery disease and peripheral artery disease involves antithrombotic therapy and optimal control of cardiovascular risk factors. In the Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) study, adding low-dose rivaroxaban on top of aspirin lowered cardiovascular events, but there is limited data about risk factor control in secondary prevention. We studied the association between risk factor status and outcomes, and the impact of risk factor status on the treatment effect of rivaroxaban, in a large contemporary population of patients with coronary artery disease or peripheral artery disease. METHODS AND RESULTS: We reported ischemic events (cardiovascular death, stroke, or myocardial infarction) in participants from the randomized, double-blind COMPASS study by individual risk factor (blood pressure, smoking status, cholesterol level, presence of diabetes, body mass index, and level of physical activity), and by number of risk factors. We compared rates and hazard ratios of patients treated with rivaroxaban plus aspirin vs aspirin alone within each risk factor category and tested for interaction between risk factor status and antithrombotic regimen. Complete baseline risk factor status was available in 27,117 (99%) patients. Status and number of risk factors were both associated with increased risk of ischemic events. Rates of ischemic events (hazard ratio 2.2; 95% confidence interval 1.8-2.6) and cardiovascular death (hazard ratio 2.0; 1.5-2.7) were more than twofold higher in patients with 4-6 compared with 0-1 risk factors (p < 0.0001 for both). Rivaroxaban reduced event rates independently of the number of risk factors (p interaction 0.93), with the largest absolute benefit in patients with the highest number of risk factors. CONCLUSION: More favorable risk factor status and low-dose rivaroxaban were independently associated with lower risk of cardiovascular events.

A nationwide causal mediation analysis of survival following ST-elevation myocardial infarction.

OBJECTIVE: International studies report a decline in mortality following ST-elevation myocardial infarction (STEMI). The extent to which the observed improvements in STEMI survival are explained by temporal changes in patient characteristics and utilisation of treatments is unknown. METHODS: Cohort study using national registry data from the Myocardial Ischaemia National Audit Project between first January 2004 and 30th June 2013. 232 353 survivors of hospitalisation with STEMI as recorded in 247 hospitals in England and Wales. Flexible parametric survival modelling and causal mediation analysis were used to estimate the relative contribution of temporal changes in treatments and patient characteristics on improved STEMI survival. RESULTS: Over the study period, unadjusted survival at 6 months and 1 year improved by 0.9% and 1.0% on average per year (HR: 0.991, 95% CI: 0.988 to 0.994 and HR: 0.990, 95% CI: 0.987 to 0.993, respectively). The uptake of primary percutaneous coronary intervention (PCI) (HR: 1.025, 95% CI: 1.021 to 1.028) and increased prescription of P2Y12 inhibitors (HR: 1.035, 95% CI: 1.031 to 1.039) were significantly associated with improvements in 1-year survival. Primary PCI explained 16.8% (95% CI: 10.8% to 31.6%) and 13.2% (9.2% to 21.9%) of the temporal survival improvements at 6 months and 1 year, respectively, whereas P2Y12 inhibitor prescription explained 5.3% (3.6% to 8.8%) of the temporal improvements at 6 months but not at 1 year. CONCLUSIONS: For STEMI in England and Wales, improvements in survival between 2004 and 2013 were significantly explained by the uptake of primary PCI and increased use of P2Y12 inhibitors at 6 months and primary PCI only at 1 year. TRIAL REGISTRATION NUMBER: NCT03749694.

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

OBJECTIVES: 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.