Myocardial Infarction Clinical Trial
Official title:
Impact of Implantation of PROGALIAM Network (Galician Program of Care in Acute Myocardial Infarction) in Cardiovascular Health in the Northern Area of Galicia.
This is a multicenter retrospective observational study with STEMI (ST Elevation Myocardial
Infarction) patients who have been treated in the northern Galician Hospitals. The study
tries to verify if the implantation of the PROGALIAM (Galician Assistance Program Acute
Myocardial Infarction) has supposed a progress in the quality and expectancy of life of AMI
patients in the north area of Galicia.
The study will recruit STEMI patients according to the third consensus definition of
myocardial infarction type I.
It will include all patients who meet these criteria regardless of other demographic or
clinical circumstances. There is not exclusion criteria defined for this population.
- Study Hypothesis This study tries to verify if the implantation of the PROGALIAM has
supposed a progress in the quality and expectancy of life of AMI patients in the north
area of Galicia.
- Objectives.
The study presents the following objectives:
Primary Objectives:
To compare morbidity rates between pre and post-PROGALIAM periods in major adverse cardiac
events. The outcome to study is a composite of death, reinfarction, heart failure and major
bleeding at 30 days, one year and long term follow-up.
Secondary Objectives To compare Pre and post PROGALIAM periods regarding;
1. Overall mortality at 30 days, one year and long term follow up. 2. Reinfarction at 30
days, one year and long term follow up. 3. Heart failure incidence at 30 days, one year and
long term follow up 4. Hospital major bleeding and at 30 days. 5. Hospital Vascular
complications and at 30 days. 6. Heart failure functional Class at 30 days, one year and long
term follow up.
- Study Design This is a multicenter retrospective observational study with STEMI patients
who have been treated in the northern Galician Hospitals.
1. Pre-PROGALIAM period: January 2001- May 2005
2. Post-PROGALIAM period: June 2005- December 2011
- Rational for Sample size Sample size will be constituted by all STEMI cases occurred in
both timeframes described above.
According to data obtained in MASCARA register where approximately 38% of ACS patients
present ST segment elevation, the estimated sample size would therefore be about 6100
patients.
*Inclusion, Exclusion Criteria and rational The study will recruit STEMI patients according
to the third consensus definition of myocardial infarction type I. It was recently published.
It will include all patients who meet these criteria regardless of other demographic or
clinical circumstances. There is not exclusion criteria defined for this population.
*Statistical analysis Categorical variables will be presented in percentage, calculated from
the whole valid information. The CI will be of 95 %. Quantitative variables will be presented
as mean ± standard deviation or median (interquartile range) according to a normal underlying
distribution or not. Initially a univariate analysis will be done.
The comparison of quantitative variables means will be done by student´s t-test in case of
normality or by nonparametric tests in the opposite case. Categorical variables will be
analyzed by the Chi square test. Survival will be analyzed by Kaplan-Meier curves. The
comparison between pre and post PROGALIAM curves will be done by a log-rank test. A p <0.05
will be considered statistically significant for two-tailed tests.
Also there are plans to carry out a multivariate analysis. There will be a quantification of
the adjusted effect on mortality due to the introduction of PROGALIAM by a Cox Proportional
Hazards model. It will be defined the best model to predict this adjusted event by
independent variables which can demonstrate an impact on death outcome in the univariate
model and by those independent variables in which significant differences are observed
between the pre and post PROGALIAM population. The investigators will verify if the
implementation of the PROGALIAM is an independent predictor of survival and the impact that
generates in the model.
A p <0.05 result will be considered statistically significant in a two-tailed test.
To carry out these analyses it will be necessary to have statistical software like SPSS
and/or SAS.
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