©2013 Baishideng Publishing Group Co.
World J Cardiol. Jun 26, 2013; 5(6): 196-206
Published online Jun 26, 2013. doi: 10.4330/wjc.v5.i6.196
Published online Jun 26, 2013. doi: 10.4330/wjc.v5.i6.196
Table 1 Prediction of mid-term bleeding events in univariate analysis
| Bleeding event | No bleeding event | P value | |
| Age (yr) | 74.6 | 67.2 | < 0.001 |
| Female gender | 41.40% | 34.50% | 0.292 |
| NSTEMI | 67.20% | 57.50% | 0.095 |
| Diabetes mellitus | 50.00% | 33.50% | 0.011 |
| Previous arterial hypertension | 84.50% | 73.80% | 0.072 |
| Smoking habits | 29.30% | 17.20% | 0.049 |
| History of stroke/TIA | 17.50% | 8.10% | 0.015 |
| Atrial fibrillation at admission | 16.70% | 13.50% | 0.516 |
| Bleeding during hospitalization | 19.30% | 7.10% | 0.001 |
| Maximum killip class | 1.62 | 1.39 | 0.004 |
| Hemoglobin at admission (g/dL) | 12.0 | 13.5 | < 0.001 |
| GFR at admission (mL/min) | 55.0 | 71.6 | < 0.001 |
| Blood urea nitrogen at admission (mg/dL) | 13.5 | 8.7 | < 0.001 |
| Submitted to revascularization procedures | 58.60% | 63.90% | 0.422 |
- Citation: Barra S, Providência R, Caetano F, Almeida I, Paiva L, Dinis P, Leitão Marques A. BLEED-Myocardial Infarction Score: Predicting mid-term post-discharge bleeding events. World J Cardiol 2013; 5(6): 196-206
- URL: https://www.wjgnet.com/1949-8462/full/v5/i6/196.htm
- DOI: https://dx.doi.org/10.4330/wjc.v5.i6.196