Implementing an innovative consent form: the PREDICT experience

Table 1 Patient and Clinical Variables Used in PREDICT Risk Models.

Patient characteristics	Age
	Gender
	Body surface area
Clinical history	Atrial fibrillation
	Cerebral vascular accident
	Chronic lung disease
	Diabetes mellitus
	Dialysis-dependent renal failure
	Hypertension
	Peripheral artery disease
	Prior PCI
	Prior coronary artery bypass grafting
	Left ventricular ejection fraction ≤ 40%
	Serum creatinine
	Admission hemoglobin
Disease presentation	Primary indication for PCI*
	Priority of PCI procedure†
	Cardiac arrest at presentation

* Options include: asymptomatic coronary artery disease, stable angina, unstable angina, post-myocardial infarction angina, post-myocardial infarction anatomy, acute non-ST elevation myocardial infarction, acute ST elevation myocardial infarction, cardiogenic shock
† Options include: emergent, urgent, non-urgent
Abbreviations: PREDICT = Patient Refined Expectations for Deciding Invasive Cardiac Treatments, PCI = percutaneous coronary intervention

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