Cardiac Valve Surgery - Logistic Regression Model

Are you evaluating a patient who is a candidate for cardiac valve surgery?

Yes

Age of the patient

years

Gender of the patient

Male

Female

Left ventricular ejection fraction in percent (enter from 0 to 100)

Will a CABG be done at the same time as the valve surgery?

Yes

Does the patient have pulmonary arterial hypertension?

Yes

Serum creatinine

Is the patient on dialysis?

Yes

Select the appropriate answer for each finding

Timing of the surgery

NYHA functional class

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Value of X

Probability of hospital mortality

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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

Cardiac Valve Surgery - Logistic Regression Model

Purpose: To predict mortality in a patient undergoing valve surgery using the risk score of Guaragna et al.

Evaluation

Results

Please fill out required fields.

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Monitoring

Specialty

Objective

ICD-10