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Prediction of major adverse cardiac, cerebrovascular events in patients with diabetes after acute coronary syndrome.

Abstract：

BACKGROUND AND OBJECTIVES:The risk of major adverse cardiac and cerebrovascular events following acute coronary syndrome is increased in people with diabetes. Predicting out-of-hospital outcomes upon follow-up remains difficult, and no simple, well-validated tools exist for this population at present. We aim to evaluate several factors in a competing risks model for actionable evaluation of the incidence of major adverse cardiac and cerebrovascular events in diabetic outpatients following acute coronary syndrome. METHODS:Retrospective analysis of consecutive patients admitted for acute coronary syndrome in two centres. A Fine-Gray competing risks model was adjusted to predict major adverse cardiac and cerebrovascular events and all-cause mortality. A point-based score is presented that is based on this model. RESULTS:Out of the 1400 patients, there were 783 (55.9%) with at least one major adverse cardiac and cerebrovascular event (417 deaths). Of them, 143 deaths were due to non-major adverse cardiac and cerebrovascular events. Predictive Fine-Gray models show that the 'PG-HACKER' risk factors (gender, age, peripheral arterial disease, left ventricle function, previous congestive heart failure, Killip class and optimal medical therapy) were associated to major adverse cardiac and cerebrovascular events. CONCLUSION:The PG-HACKER score is a simple and effective tool that is freely available and easily accessible to physicians and patients. The PG-HACKER score can predict major adverse cardiac and cerebrovascular events following acute coronary syndrome in patients with diabetes.

journal_name

Diab Vasc Dis Res

journal_title

Diabetes & vascular disease research

authors

Baluja A,Rodríguez-Mañero M,Cordero A,Kreidieh B,Iglesias-Alvarez D,García-Acuña JM,Martínez-Gómez A,Agra-Bermejo R,Alvarez-Rodríguez L,Abou-Jokh C,López-Ratón M,Gude-Sampedro F,Alvarez-Escudero J,González-Juanatey JR

doi

10.1177/1479164119892137

subject

Has Abstract

pub_date

2020-01-01 00:00:00

pages

1479164119892137

issue

eissn

1479-1641

issn

1752-8984

journal_volume

pub_type

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Prediction of major adverse cardiac, cerebrovascular events in patients with diabetes after acute coronary syndrome.