Shabsigh et al reported a calculator for predicting the risk of cardiovascular risk factors in a male with erectile dysfunction. These can help to identify a male who may benefit from a cardiac evaluation and control of comorbid condiitons. The authors are from Maimonides Medical Center, Columbia University, Xcenda (Palm Harbor) and Bayer HealthCare.
Patient selection: erectile dysfunction
Comorbidities: diabetes, hypertension, hyperlipidemia, angina
Parameters"
(1) self-reported health status from 1 (excellent) to 7 (poor)
(2) severe erectile dysfunction
(3) sexual partner
(4) waist size in inches (in even numbers)
|
Parameter
|
Finding
|
Points
|
Logistic Regression Coefficients
|
|
health status
|
from 1 to 7
|
0.5 * (health status)
|
0.2732
|
|
severe ED
|
no
|
0
|
|
|
|
yes
|
1
|
0.8928
|
|
sexual partner
|
no
|
0
|
|
|
|
yes
|
-1.5
|
-1.3717
|
|
waist size
|
<= 32
|
0
|
|
|
|
34
|
1
|
0.9554
|
|
|
36
|
1
|
0.9554
|
|
|
38
|
2
|
2.1750
|
|
|
40
|
2
|
2.1750
|
|
|
>= 42
|
2
|
2.1747
|
where:
• The intercept for the logistic regression model is -0.2426.
total score =
= SUM(points for all 4 parameters)
Interpretation:
• minimum score: 0 reported in paper; -1 experienced
• maximum score: 7 reported in paper, 6.5 experienced
• The lower the score the greater the risk of comorbid conditions.
|
Score
|
Risk of Comorbidities
|
Probability
|
|
0 to 1.4
|
low risk
|
< 30%
|
|
1.5 to 2.4
|
medium risk
|
30-59%
|
|
>= 2.5
|
high risk
|
>= 60%
|
