Literature DB >> 17027559

Predictors of in-hospital mortality difference between male and female patients with acute myocardial infarction.

Shi Liang Jiang1, Xiao Ping Ji, Yu Xia Zhao, Xiao Rong Wang, Zhao Feng Song, Zhi Ming Ge, Tao Guo, Cheng Zhang, Yun Zhang.   

Abstract

Many studies have demonstrated that, compared with men, women have increased long- and short-term mortality after acute myocardial infarction (AMI). The reasons for this mortality difference remain in dispute. We analyzed baseline characteristics, in-hospital management, and short-term outcomes of 1,246 men and 537 women with AMI to identify clinical variables that can predict the in-hospital mortality difference between genders. A higher in-hospital mortality was found in women with AMI than in men (11.9% vs 6.9%, p <0.001). Women were generally older, had a higher incidence of hypertension, diabetes mellitus, and hyperlipidemia, and had a higher Killip class of cardiac function compared with men. Reperfusion therapy and beta-receptor blockers were underused in women. Using a multivariate logistic regression model, we identified age, history of hypertension and diabetes mellitus, Killip class of cardiac function, and administration of reperfusion therapy and beta-receptor blockers as significant predictors of in-hospital mortality in patients with AMI, with odds ratios of 1.05 (95% confidence interval [CI] approximately 1.03 to 1.07), 1.65 (95% CI 1.12 to 2.41), 1.92 (95% CI 1.27 to 2.90), 3.62 (95% CI 2.88 to 4.56), 0.39 (95% CI 0.24 to 0.66), and 0.63 (95% CI 0.43 to 0.93), respectively. In conclusion, women with AMI had a higher in-hospital mortality rate than did men, probably due to older age, higher incidence of hypertension, diabetes mellitus, and hyperlipidemia, a higher Killip class of cardiac function, and less utilization of reperfusion therapy and beta-receptor blockers.

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Year:  2006        PMID: 17027559     DOI: 10.1016/j.amjcard.2006.05.015

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

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  6 in total

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