Peripheral Artery Disease and Cardiovascular Risk - Prediction Rule

Description

Sprengers et al developed a prediction model for patients with peripheral arterial disease (PAD). This can help to identify a patient at risk for myocardial infarction, stroke or other secondary cardiovascular events. The authors are participants in the SMART (Second Manifestations of ARTerial disease) study.

Patient selection: peripheral arterial disease

Parameters:

(1) age in years

(2) history of coronary artery disease (CAD)

(3) history of cerebrovascular disease (CVD)

(4) systolic blood pressure in mm Hg

(5) current or former smoker

(6) serum creatinine in µmol/L

(7) HDL cholesterol in mmol/L

(8) lowest resting ankle to brachial pressure index

Parameter	Finding	Points
age in years	<= 55 years	0
	> 55	((age) - 55) * 8
history of CAD	no	0
	yes	86
history of CVD	no	0
	yes	86
systolic blood pressure		(mm Hg)
current or former smoker	no	0
	yes	107
serum creatinine		(serum creatinine)
serum HDL cholesterol		(-74) * (HDL cholesterol)
lowest ABP index		(-157) * (index)

total score =

= SUM(points for all 8 parameters)

Interpretation:

• minimum score: < 0

• maximum score: > 1000

• The higher the score the greater the risk for other cardiovascular disease.

Total Score	Risk Group	Risk in 5 Years
<= 100	low	1%
101 to 225	moderate	5%
226 to 350	high	12%
> 350	very high	28%

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Description

Specialty

Objective

ICD-10

Prediction Rule of Sprengers et al for Cardiovascular Events in a Patient with Peripheral Arterial Disease (PAD, SMART Model)

Purpose: To identify a patient with peripheral arterial disease (PAD) at risk for other cardiovascular disorders using the model of Sprengers et al.

Description

Specialty

Objective

ICD-10