Literature DB >> 28777005

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

Stuart J Pocock1, Yong Huo2, Frans Van de Werf3, Simon Newsome1, Chee Tang Chin4, Ana Maria Vega5, Jesús Medina5, Héctor Bueno6,7.   

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.

Entities:  

Keywords:  Acute coronary syndrome; hospital discharge; mortality; prognostic model; risk score

Mesh:

Substances:

Year:  2017        PMID: 28777005     DOI: 10.1177/2048872617719638

Source DB:  PubMed          Journal:  Eur Heart J Acute Cardiovasc Care        ISSN: 2048-8726


  12 in total

1.  Predictors of all-cause mortality and ischemic events within and beyond 1 year after an acute coronary syndrome: Results from the EPICOR registry.

Authors:  Xavier Rossello; Héctor Bueno; Stuart J Pocock; Frans Van de Werf; Nicolas Danchin; Lieven Annemans; Jesús Medina; Uwe Zeymer
Journal:  Clin Cardiol       Date:  2018-12-07       Impact factor: 2.882

2.  Regional variations in hospital management and post-discharge mortality in patients with non-ST-segment elevation acute coronary syndrome.

Authors:  Héctor Bueno; Xavier Rossello; Stuart Pocock; Frans Van de Werf; Chee Tang Chin; Nicolas Danchin; Stephen W-L Lee; Jesús Medina; Ana Vega; Yong Huo
Journal:  Clin Res Cardiol       Date:  2018-04-16       Impact factor: 5.460

3.  Infarct size, inflammatory burden, and admission hyperglycemia in diabetic patients with acute myocardial infarction treated with SGLT2-inhibitors: a multicenter international registry.

Authors:  Pasquale Paolisso; Luca Bergamaschi; Emanuele Barbato; Carmine Pizzi; Gaetano Santulli; Emanuele Gallinoro; Arturo Cesaro; Felice Gragnano; Celestino Sardu; Niya Mileva; Alberto Foà; Matteo Armillotta; Angelo Sansonetti; Sara Amicone; Andrea Impellizzeri; Gianni Casella; Ciro Mauro; Dobrin Vassilev; Raffaele Marfella; Paolo Calabrò
Journal:  Cardiovasc Diabetol       Date:  2022-05-15       Impact factor: 8.949

Review 4.  Risk Stratification in Patients with Coronary Artery Disease: A Practical Walkthrough in the Landscape of Prognostic Risk Models.

Authors:  Sergio Buccheri; Paolo D'Arrigo; Gabriele Franchina; Davide Capodanno
Journal:  Interv Cardiol       Date:  2018-09

5.  Number of Antithrombotic Drugs Used Early and In-hospital Outcomes in Acute Coronary Syndromes.

Authors:  Roberto Martín-Asenjo; John Gregson; Xavier Rossello; Frans Van de Werf; Jesús Medina; Nicolas Danchin; Stuart Pocock; Héctor Bueno
Journal:  J Cardiovasc Transl Res       Date:  2021-01-08       Impact factor: 4.132

6.  Long-term antithrombotic management patterns in Asian patients with acute coronary syndrome: 2-year observations from the EPICOR Asia study.

Authors:  Bo Zheng; Yong Huo; Stephen W-L Lee; Jitendra P S Sawhney; Hyo-Soo Kim; Rungroj Krittayaphong; Stuart J Pocock; Vo T Nhan; Angeles Alonso Garcia; Chee Tang Chin; Jie Jiang; Stephen Jan; Ana Maria Vega; Nobuya Hayashi; Tiong K Ong
Journal:  Clin Cardiol       Date:  2020-07-02       Impact factor: 2.882

7.  Hyperglycemia, inflammatory response and infarct size in obstructive acute myocardial infarction and MINOCA.

Authors:  Pasquale Paolisso; Alberto Foà; Luca Bergamaschi; Francesco Donati; Michele Fabrizio; Chiara Chiti; Francesco Angeli; Sebastiano Toniolo; Andrea Stefanizzi; Matteo Armillotta; Paola Rucci; Gianmarco Iannopollo; Gianni Casella; Cinzia Marrozzini; Nazzareno Galiè; Carmine Pizzi
Journal:  Cardiovasc Diabetol       Date:  2021-02-02       Impact factor: 9.951

8.  Health-related quality of life 1-3 years post-myocardial infarction: its impact on prognosis.

Authors:  Stuart Pocock; David B Brieger; Ruth Owen; Jiyan Chen; Mauricio G Cohen; Shaun Goodman; Christopher B Granger; José C Nicolau; Tabassome Simon; Dirk Westermann; Satoshi Yasuda; Katarina Hedman; Carl Mellström; Karolina Andersson Sundell; Richard Grieve
Journal:  Open Heart       Date:  2021-02

9.  Prognostic value of routinely available data in patients with stable coronary heart disease. A 10-year follow-up of patients sampled at random times during their disease course.

Authors:  Per Winkel; Janus Christian Jakobsen; Jørgen Hilden; Gorm Jensen; Erik Kjøller; Ahmad Sajadieh; Jens Kastrup; Hans Jørn Kolmos; Anders Larsson; Johan Ärnlöv; Christian Gluud
Journal:  Open Heart       Date:  2018-09-05

10.  Predicting risk of cardiovascular events 1 to 3 years post-myocardial infarction using a global registry.

Authors:  Stuart J Pocock; David Brieger; John Gregson; Ji Y Chen; Mauricio G Cohen; Shaun G Goodman; Christopher B Granger; Richard Grieve; Jose C Nicolau; Tabassome Simon; Dirk Westermann; Satoshi Yasuda; Katarina Hedman; Kirsten L Rennie; Karolina Andersson Sundell
Journal:  Clin Cardiol       Date:  2019-11-12       Impact factor: 2.882

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