TY - JOUR
T1 - Predictors of long-term (10-year) mortality postmyocardial infarction
T2 - Age-related differences. Soroka Acute Myocardial Infarction (SAMI) Project
AU - Plakht, Ygal
AU - Shiyovich, Arthur
AU - Gilutz, Harel
N1 - Publisher Copyright:
© 2014 Japanese College of Cardiology.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - Background: Cardiovascular diseases are the leading cause of death in elderly people. Over the past decades medical advancements in the management of patients with acute myocardial infarction (AMI) led to improved survival and increased life expectancy. As short-term survival from AMI improves, more attention is being shifted toward understanding and improving long-term outcomes. Aim: To evaluate age-associated variations in the long-term (up to 10 years) prognostic factors following AMI in "real world" patients, focusing on improving risk stratification of elderly patients. Methods: A retrospective analysis of 2763 consecutive AMI patients according to age groups: ≤65 years (. n=. 1230) and >65 years (. n=. 1533). Data were collected from the hospital's computerized systems. The primary outcome was 10-year postdischarge all-cause mortality. Results: Higher rates of women, non-ST-elevation AMI, and most comorbidities were found in elderly patients, while the rates of invasive treatment were lower. During the follow-up period, mortality rate was higher among the older versus the younger group (69.7% versus 18.6%). Some of the parameters included in the interaction multivariate model had stronger association with the outcome in the younger group (hyponatremia, anemia, alcohol abuse or drug addiction, malignant neoplasm, renal disease, previous myocardial infarction, and invasive interventions) while others were stronger predictors in the elderly group (higher age, left main coronary artery or three-vessel disease, and neurological disorders). The c-statistic values of the multivariate models were 0.75 and 0.74 in the younger and the elder groups, respectively, and 0.86 for the interaction model. Conclusions: Long-term mortality following AMI in young as well as elderly patients can be predicted from simple, easily accessible clinical information. The associations of most predictors and mortality were stronger in younger patients. These predictors can be used for optimizing patient care aiming at mortality reduction.
AB - Background: Cardiovascular diseases are the leading cause of death in elderly people. Over the past decades medical advancements in the management of patients with acute myocardial infarction (AMI) led to improved survival and increased life expectancy. As short-term survival from AMI improves, more attention is being shifted toward understanding and improving long-term outcomes. Aim: To evaluate age-associated variations in the long-term (up to 10 years) prognostic factors following AMI in "real world" patients, focusing on improving risk stratification of elderly patients. Methods: A retrospective analysis of 2763 consecutive AMI patients according to age groups: ≤65 years (. n=. 1230) and >65 years (. n=. 1533). Data were collected from the hospital's computerized systems. The primary outcome was 10-year postdischarge all-cause mortality. Results: Higher rates of women, non-ST-elevation AMI, and most comorbidities were found in elderly patients, while the rates of invasive treatment were lower. During the follow-up period, mortality rate was higher among the older versus the younger group (69.7% versus 18.6%). Some of the parameters included in the interaction multivariate model had stronger association with the outcome in the younger group (hyponatremia, anemia, alcohol abuse or drug addiction, malignant neoplasm, renal disease, previous myocardial infarction, and invasive interventions) while others were stronger predictors in the elderly group (higher age, left main coronary artery or three-vessel disease, and neurological disorders). The c-statistic values of the multivariate models were 0.75 and 0.74 in the younger and the elder groups, respectively, and 0.86 for the interaction model. Conclusions: Long-term mortality following AMI in young as well as elderly patients can be predicted from simple, easily accessible clinical information. The associations of most predictors and mortality were stronger in younger patients. These predictors can be used for optimizing patient care aiming at mortality reduction.
KW - Acute myocardial infarction
KW - Age-related differences
KW - All-cause mortality
KW - Long-term risk stratification
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=84924284278&partnerID=8YFLogxK
U2 - 10.1016/j.jjcc.2014.06.001
DO - 10.1016/j.jjcc.2014.06.001
M3 - Article
C2 - 24994020
AN - SCOPUS:84924284278
SN - 0914-5087
VL - 65
SP - 216
EP - 223
JO - Journal of Cardiology
JF - Journal of Cardiology
IS - 3
ER -