Myocardial Infarction Prediction

Not Applicable

Completed

• Conditions: Myocardial Infarction; Artificial Neural Network
• Interventions: Other: ANN prediction of myocardial infarction

• Registration Number: NCT01870258
• Lead Sponsor: Shiraz University of Medical Sciences

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.

Study Timeline

• Study Start: 2011-01
• Primary Completion: 2012-04
• Study Completion: 2012-06
• Study First Submitted: 2013-05-24
• Status Verified: 2013-06
• Study First Submitted QC: 2013-06-04
• Last Update Submitted: 2013-06-04
• Study First Posted: 2013-06-06
• Last Update Posted: 2013-06-06

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 1100

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.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
those without MI in 2 weeks	ANN prediction of myocardial infarction	patient without MI in 2 weeks
patient with MI	ANN prediction of myocardial infarction	group with MI in 2 weeks

Primary Outcome Measures

Name	Time	Method
myocardial infarction	2 weeks

Secondary Outcome Measures

Name	Time	Method
hospital admission due to cardiac events	2 weeks	may be includes unstable angina, cardiac arrest or PCIor CABG