In- Hospital Mortality Cardiac Surgery Model to Predict Risk

Are you evaluating a patient prior to coronary artery bypass graft or cardiac valve surgery?

Yes

Age of the patient

years

Gender of the patient

Male

Female

Serum creatinine

Is the patient's left ventricular ejection fraction poor?

Yes

Does the patient have a history of cardiac surgery in the past?

Yes

Has the patient had an acute myocardial infarction in the past 24 hours?

Yes

Is the surgery being performed as an emergency procedure?

Yes

Is the patient undergoing combined CABG and mitral valve surgery?

Yes

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Total score

The risk of in-hospital mortality following the cardiac surgery is

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
Other Testing
- Preoperative Clinical Severity Score of Higgins et al in Coronary Artery Bypass Patients
Severity, Prognosis, Stage
Complications

Therapy

Selection
Surgery
- Simplified Clinical Risk Scoring System for Morbidity after Cardiac Surgery

Monitoring

Adverse Effects
- CABG Risk of Adverse Outcomes Clinical Prediction Rule
- Model for Predicting Vascular Surgery Perioperative Mortality
Complication Detection
- Simplified Clinical Risk Scoring System for Morbidity after Cardiac Surgery

Evaluation

Results

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Monitoring

Specialty

Objective

ICD-10

Amphiascore of Huijskes et al for In-Hospital Mortality Following Cardiac Surgery

Purpose: To predict in-hospital mortality following coronary artery bypass graft (CABG) and/or valve surgery using the Amphiascore model.

Evaluation

Results

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Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Monitoring

Specialty

Objective

ICD-10