Predicting Coronary Artery Disease | Medical Algorithm

Are you evaluating a patient with systolic heart failure of uncertain cause?

Yes

Age of the patient

years

Gender of the patient

Male

Female

Does the patient have?

• diabetes?

Yes

• hypertension?

Yes

• dyslipidemia?

Yes

• tobacco use?

Yes

• Q waves on ECG?

Yes

• left bundle branch block (LBBB) on ECG?

Yes

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Total score

Percent of patients with these findings having significant coronary artery disease

Percent of patients with these findings having severe coronary artery disease

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
Criteria For Diagnosis
- Clinical Score of Morise et al to Estimate the Probability of Coronary Artery Disease in Men and Women
Severity, Prognosis, Stage
Complications

Therapy

Prevention
- Framingham Coronary Heart Disease Risk Prediction Chart

Evaluation

Results

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Specialty

Objective

ICD-10

Clinical Tool for Predicting Coronary Artery Disease

Purpose: To evaluate a patient with systolic heart failure of uncertain cause for risk of significant coronary artery disease using the tool of Doukky et al.

Evaluation

Results

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MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Specialty

Objective

ICD-10