Brief Article
Copyright ©2013 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Cardiol. Jun 26, 2013; 5(6): 196-206
Published online Jun 26, 2013. doi: 10.4330/wjc.v5.i6.196
BLEED-Myocardial Infarction Score: Predicting mid-term post-discharge bleeding events
Sérgio Barra, Rui Providência, Francisca Caetano, Inês Almeida, Luís Paiva, Paulo Dinis, António Leitão Marques
Sérgio Barra, Rui Providência, Francisca Caetano, Inês Almeida, Luís Paiva, Paulo Dinis, António Leitão Marques, Cardiology Department, Coimbra’s Hospital and University Centre-General Hospital, 3041-801 S. Martinho do Bispo, Coimbra, Portugal
Rui Providência, Faculty of Medicine, University of Coimbra, 3046-853 Coimbra, Portugal
Author contributions: Barra S designed the study; Barra S and Providência R wrote the draft version of the article; Leitão Marques A co-ordinated the development of the manuscript; all authors contributed to the collection of data, reviewed the draft version, gave advice for improving the manuscript and read and approved the final version.
Correspondence to: Dr. Sérgio Barra, Cardiology Department, Coimbra’s Hospital and University Centre-General Hospital, Quinta dos Vales, 3041-801 S. Martinho do Bispo, Coimbra, Portugal. sergioncbarra@gmail.com
Telephone: +351-916-685716 Fax: +351-239-445737
Received: February 21, 2013
Revised: April 23, 2013
Accepted: May 16, 2013
Published online: June 26, 2013
Core Tip

Core tip: Prediction of mid- to long-term clinically significant bleeding following discharge for a myocardial infarction has received scarce attention from the scientific community. The BLEED-myocardial infarction (MI) prediction model is the first score designed to predict mid-term hemorrhagic risk in these patients. Easy to use and comprising clinical and analytical items that can be collected in a few minutes, BLEED-MI showed good calibration, accuracy and discriminative performance for predicting post-discharge hemorrhagic episodes and a composite endpoint of bleeding events plus all-cause mortality. Importantly, an accurate prediction of bleeding events was shown independently of mortality. Furthermore, a progressively increasing risk of the primary and secondary endpoints was seen with increasing BLEED-MI scores and our results suggested a very high capability of the BLEED-MI rule in identifying low-risk patients. Depending on its potential external validation in larger cohorts of patients, the BLEED-MI score may eventually help tailor therapeutic decisions