A multivariate model for predicting mortality in patients with heart failure and systolic dysfunction
A multivariate model for predicting mortality in patients with heart failure and systolic dysfunction
复制标题
DOI:
10.1016/j.amjmed.2003.09.035
复制
发表时间:
2004-03-01
影响因子:
5.9
通讯作者:
Yusuf, S
中科院分区:
文献类型:
--
作者:
Brophy, JM;Dagenais, GR;Yusuf, S
BACKGROUND: Heart failure is a leading cause of morbidity and mortality, but there are no reliable models based on readily available clinical variables to predict outcomes in patients taking angiotensin-converting enzyme (ACE) inhibitors.METHODS: A multivariate statistical model to predict mortality was developed in a random sample (n = 4277 patients [67%]) of the 6422 patients enrolled in the Digitalis Investigation Group trial who had a depressed ejection fraction (less than or equal to45%), were in sinus rhythm, and were taking ACE inhibitors. The model was then validated in the remaining 2145 patients.RESULTS: Total mortality in the derivation sample was 11.2% (n = 480) at 12 months and 29.9% (n = 1277) at 36 months. Lower ejection fraction, worse renal function, cardiomegaly, worse functional class, signs or symptoms of heart failure, lower blood pressure, and lower body mass index were associated with reduced 12-month survival. This model provided good predictions of mortality in the verification sample. The same variables, along with age and the baseline use of nitrates, were also predictive of 36-month mortality.CONCLUSION: Routine clinical variables can be used to predict short- and long-term mortality in patients with heart failure and systolic dysfunction who are treated with ACE inhibitors. (C) 2004 by Excerpta Medica Inc.