Myocardial Infarction Prediction

Study Overview
=================
Brief Summary
-----------------
prediction of MI in patients with chest pain and nondiagnostic ECG was done in 2 weeks

Detailed Description
-----------------
Myocardial infarction remains one the leading causes of mortality and morbidity and involves a high cost of care. Early prediction can be helpful in preventing the development of myocardial infarction with appropriate diagnosis and treatment. Artificial neural networks have opened new horizons in learning about the natural history of diseases and predicting cardiac disease. Methods: A total of 935 cardiac patients with chest pain and nondiagnostic electrocardiogram (ECG) were enrolled and followed for 2 weeks in two groups based on the appearance of myocardial infarction. Two types of data were used for all patients: nominal (clinical data) and quantitative (ECG findings). Two different artificial neural networks - radial basis function (RBF) and multi-layer perceptron (MLP) - were used.

Official Title
-----------------
Prediction of Acute Myocardial Infarction With Artificial Neural Networks in Patients With Nondiagnostic Electrocardiogram

Conditions
-----------------
Myocardial Infarction, Artificial Neural Network

Intervention / Treatment
-----------------
* Other: ANN prediction of myocardial infarction


Participation Criteria
=================
Eligibility Criteria
-----------------
Inclusion Criteria: patient with chest pain refered to ER with nondiagnostic ECG Exclusion Criteria: 1) Absence of a history of myocardial infarction 2) Absence of bundle branch block, Wolf-Parkinson-White abnormality, ventricular hypertrophy or previous ECG signs of myocardial infarction, 3) Absence of a history of percutaneous coronary surgery or coronary artery bypass grafting, 4) Absence of ECG abnormalities attributable to drugs such as digoxin or tricyclic antidepressants.

Ages Eligible for Study
-----------------
Minimum Age: 40 Years
Maximum Age: 72 Years

Sexes Eligible for Study
-----------------
All

Accepts Healthy Volunteers
-----------------
No

Study Plan
=================
How is the study designed?
-----------------

Design Details

Primary Purpose: Diagnostic
Allocation: Non-Randomized
Intervention Model: Parallel Assignment
Masking: Quadruple


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Placebo Comparator: those without MI in 2 weeks<br>patient without MI in 2 weeks | Other: ANN prediction of myocardial infarction<br> <br> * Other names: sofware detected risk of new myocardial infraction;|
| Active Comparator: patient with MI<br>group with MI in 2 weeks | Other: ANN prediction of myocardial infarction<br> <br> * Other names: sofware detected risk of new myocardial infraction;|

What is the study measuring?
-----------------
Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| myocardial infarction |  | 2 weeks | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| hospital admission due to cardiac events | may be includes unstable angina, cardiac arrest or PCIor CABG | 2 weeks | 

 Terms related to the study
=================
Keywords Provided by Centre Hospitalier Valida
-----------------
Myocardial infarction, artificial neural networks, Electrocardiography