APACHE-II score and Killip class for patients with acute myocardial infarction
Juan Mercado-Martínez1, Ricardo Rivera-Fernández, Eduardo Aguilar-Alonso
1Santa Ana Hospital, Motril, Granada, Spain. ucimotril@yahoo.es
Insights
The APACHE-II score and Killip class are valuable for assessing acute myocardial infarction (AMI) patient severity in the ICU. Combining these with other clinical factors creates effective prognostic models.
Area of Science:
- Cardiology
- Intensive Care Medicine
- Clinical Epidemiology
Background:
- Acute Myocardial Infarction (AMI) is a critical condition requiring accurate prognostic assessment in Intensive Care Units (ICUs).
- The APACHE-II score is a widely used severity-of-illness scoring system.
- Existing prognostic models may be enhanced by incorporating additional clinical variables.
Purpose of the Study:
- To analyze the prognostic influence of the APACHE-II score, Killip class, AMI site, and thrombolysis in ICU patients with AMI.
- To identify variables that can improve the prognostic capacity of the APACHE-II index.
- To develop and evaluate enhanced prognostic models for AMI patients.
Main Methods:
- A cohort study utilizing prospectively collected data from the ARIAM project.
- Retrospective analysis of 6,458 ICU-admitted AMI patients from 129 Spanish hospitals over a 4-year period.
- Multivariate analysis to identify predictors of ICU mortality and construct prognostic models.
Main Results:
- ICU mortality was 8.9%, with higher rates in females, anterior AMI, previous AMI, delayed hospital arrival (>180 min), and non-receipt of thrombolysis.
- APACHE-II score and age were significant independent predictors of ICU mortality.
- Killip class was significantly associated with ICU mortality; models incorporating Killip class, age, gender, and APACHE-II demonstrated excellent discrimination (AUC 0.94).
Conclusions:
- The APACHE-II score and Killip class are complementary and useful for assessing AMI patient severity in the ICU.
- Prognostic models incorporating these indices along with common clinical variables offer excellent discrimination capacity.
- These findings support the use of refined prognostic tools for better patient management in AMI.
Objective:
To analyse the influence on the prognosis of intensive care unit (ICU) patients with acute myocardial infarction (AMI): prognostic index score, Killip class, AMI site, thrombolysis and other variables that might improve prognostic capacity and functioning of the APACHE-II index.
Design:
Cohort study using prospectively gathered ARIAM project data.
Setting:
ICUs from 129 Spanish hospitals.
Patients:
ICU-admitted AMI patients in ARIAM database during 4-year period were retrospectively studied.
Measurements And Main Results:
The sample comprised 6,458 patients, 76.8% males, age 64.97 +/- 12.56 years, APACHE-II score 9.49 +/- 7.03 points and ICU mortality 8.9%. Mortality was higher for females (p < 0.001), anterior AMI site (p < 0.001), previous AMI (p < 0.001), delay-to-hospital arrival >180 min (p = 0.003) and non-receipt of thrombolysis (p = 0.015). ICU mortality was related to age (p < 0.001) and APACHE-II score (p < 0.001). In multivariate analysis, it was related to APACHE-II (OR 1.16), age (OR 1.05), gender (OR 1.64), previous AMI (OR 1.57), anterior AMI (OR 2.05) and delay >180 min (OR 1.37). Killip class, gathered in 1,893 patients, was significantly associated with ICU mortality, and two predictive models were constructed for this group using multivariate analysis. Area under ROC curve was 0.94 in one (Killip class, age, gender, APACHE-II) versus 0.92 in the other (same variables without APACHE-II).
Conclusions:
APACHE-II score and Killip class are useful for assessing the severity of patients with AMI and are complementary. Each can be used with a few commonly gathered clinical variables to construct prognostic models to assess severity. Their joint application yields a model with excellent discrimination capacity.
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