Search

Objective To detect the effect of bleeding on hospitalised acute myocardial infarction (AMI) mortality in patients aged 80 and over. Methods Life-threatening bleeding and major or minor bleeding is defined according to TIMI criteria. In a cohort of AMI patients aged ≥80 years from 2003 to 2012 at CCU department in fuxing hospital, the bleeding condition and the effect of bleeding on mortality was evaluated. Results 386 patients presenting with ST segment elevation AMI (STEMI) and non-STEMI were enrolled. A total of 90 patients died among hospital, and bleeding was observed in 45 cases, including 13.3% of TIMI life-threatening bleeding, 15.6% of TIMI major and 71.1% of minor bleeding. 111 cases of bleeding were observed in the survivors, including 11.7% of major bleeding and 88.3% of minor bleeding. The TIMI life-threatening bleeding and major bleeding There was significant difference in bleeding between the two groups, X 2 = 16.303, P Conclusions Patients aged 80 and over have high bleeding during hospitalisation, major and life-threatening bleeding was an independent significant predictor associated with hospitalised mortality.

Objective To investigate the gender difference of bleeding in acute myocardial infarction patients aged 80 and over. Methods Life-threatening bleeding and major or minor bleeding is defined according to TIMI criteria. In a cohort of AMI patients aged ≥ 80 years from 2003 to 2012 at CCU department in fuxing hospital, the bleeding condition and the gender difference of bleeding was evaluated. Results 386 patients presenting with ST segment elevation AMI (STEMI) and non-STEMI were enrolled, which included 189 male and 197 female. Bleeding was observed in 37.6% of male and in 43.1% of female, Pearson chi-square showed that there was no gender difference in bleeding during hospitalisation, X 2 = 1.248, P = 0.264. In the male patients, 2.8% of TIMI life-threatening bleeding, 19.7% of major and 77.5% of minor bleeding were discovered. 4.7% of TIMI life-threatening bleeding, 7.1% of major bleeding and 88.2% of minor bleeding were observed in the female patients. There was no significant gender difference in TIMI bleeding, X 2 = 5.802, P = 0.057. Conclusions Our study demonstrates that no significant gender difference in TIMI bleeding in oldest-old patients with AMI is discovered.

Objective To detect the value of B-type natriuretic peptide (BNP), white blood count (WBC), Creatinine, TNT and CK-MB in predicting acute myocardial infarction (AMI) mortality in patients aged 80 and over. Methods Mortality is defined as all-cause death rate during hospitalisation. The discrimination ( c statistic) was evaluated. Results 384 patients presenting with ST segment elevation AMI (STEMI) and non-STEMI were enrolled. The mortality was 23.4%. The overall discriminatory capacity of BNP, WBC, Creatinine, TNT and CK-MB was 0.755 (95%CI: 0.7–0.811), 0.658 (95%CI: 0.593–0.723), 0.647 (95%CI: 0.578–0.716), 0.626 (95%CI: 0.562–0.690) and 0.619 (95%CI: 0.558–0.679), respectively. The discriminatory capacity of the BNP was good. Conclusions BNP is a useful risk predictor for hospital mortality of AMI patients aged 80 and over.

Objective To explore the risk predictors of AMI mortality among hospital in patients aged 80 and over. Methods In a cohort of AMI patients aged ≥80 years from 2003 to 2012 at CCU department in fuxing hospital, we explored the determinants to predict death risk among hospital. Variables examined included demographics, history, hemodynamic condition and laboratory results. Results 386 patients presenting with AMI were enrolled. The hospital mortality rate was 23.3%. Multivariable stepwise regression analysis showed that eight independent significant predictors associated with mortality among hospital were history of stoke, cardiac shock, killip class III to IV, ventricular tachycardia, pulse rate ≥100 bpm and EF≤40% at presentation, in hospital bleeding, initial serum creatinine concentration ≥ 177umol/l and elevated initial WBC level. Hosmer-Lemeshow p value is 0.076 (chi-square: 12.871), which indicates good-fitness of the predict variables. Conclusions Patients aged 80 and over have high mortality during hospitalisation, these risk prediction factors are clinically useful for predicting mortality in patients with AMI.