Predicting two-year mortality from discharge after acute coronary syndrome: An internationally-based risk score

Author:

Pocock Stuart J1,Huo Yong2,Van de Werf Frans3,Newsome Simon1,Chin Chee Tang4,Vega Ana Maria5,Medina Jesús5,Bueno Héctor67

Affiliation:

1. London School of Hygiene and Tropical Medicine, London, UK

2. Peking University First Hospital, Beijing, China

3. Department of Cardiovascular Sciences, University of Leuven, Belgium

4. National Heart Centre Singapore, Singapore

5. Medical Evidence and Observational Research, Global Medical Affairs, AstraZeneca, Madrid, Spain

6. Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

7. Instituto de investigación i+12 and Cardiology Department, Hospital Universitario 12 de Octubre, Madrid, Spain

Abstract

Background: Long-term risk of post-discharge mortality associated with acute coronary syndrome remains a concern. The development of a model to reliably estimate two-year mortality risk from hospital discharge post-acute coronary syndrome will help guide treatment strategies. Methods: EPICOR (long-tErm follow uP of antithrombotic management patterns In acute CORonary syndrome patients, NCT01171404) and EPICOR Asia (EPICOR Asia, NCT01361386) are prospective observational studies of 23,489 patients hospitalized for an acute coronary syndrome event, who survived to discharge and were then followed up for two years. Patients were enrolled from 28 countries across Europe, Latin America and Asia. Risk scoring for two-year all-cause mortality risk was developed using identified predictive variables and forward stepwise Cox regression. Goodness-of-fit and discriminatory power was estimated. Results: Within two years of discharge 5.5% of patients died. We identified 17 independent mortality predictors: age, low ejection fraction, no coronary revascularization/thrombolysis, elevated serum creatinine, poor EQ-5D score, low haemoglobin, previous cardiac or chronic obstructive pulmonary disease, elevated blood glucose, on diuretics or an aldosterone inhibitor at discharge, male sex, low educational level, in-hospital cardiac complications, low body mass index, ST-segment elevation myocardial infarction diagnosis, and Killip class. Geographic variation in mortality risk was seen following adjustment for other predictive variables. The developed risk-scoring system provided excellent discrimination ( c-statistic=0.80, 95% confidence interval=0.79–0.82) with a steep gradient in two-year mortality risk: >25% (top decile) vs. ~1% (bottom quintile). A simplified risk model with 11 predictors gave only slightly weaker discrimination ( c-statistic=0.79, 95% confidence interval =0.78–0.81). Conclusions: This risk score for two-year post-discharge mortality in acute coronary syndrome patients ( www.acsrisk.org ) can facilitate identification of high-risk patients and help guide tailored secondary prevention measures.

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Critical Care and Intensive Care Medicine,General Medicine

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