Obokata et al reported two score for predicting the risk of the metabolic syndrome in Japanese patients. The final model can help to identify a patient who should be targeted for interventions to reverse the metabolic changes. The authors are from Gunma University, Gunma Chuo Hospital and the University of Tasmania.
Patient selection: Japanese adults
Parameters:
(1) serum HDL cholesterol concentration
(2) abdominal obesity
(3) hyperglycemia
(4) hypertension
(5) serum triglyceride concentration
(6) sex
(7) serum gamma-glutamyl transpeptidase in IU/L (GGT)
(8) age in years
(9) serum uric acid in mg/dL
Parameter
Finding
Points
serum HDL
normal or elevated
0
low
13
abdominal obesity
no
0
yes
10
hyperglycemia
no
0
yes
9
hypertension
no
0
yes
9
serum triglycerides
normal or low
0
elevated
7
sex
male
0
female
4
serum GGT
<= 30 IU/L
0
> 30 IU/L
4
age in years
<= 47 years
0
> 47 years
3
serum uric acid
<= 6.0 mg/dL
0
> 6 mg/dL
1
total score =
= SUM(points for all 9 parameters)
Interpretation:
• minimum score: 0
• maximum score: 60
• The higher the score the greater the risk of metabolic syndrome.
Total Score
Category
Percent Metabolic Syndrome
0 to 9
I
2.4%
10 to 19
II
10%
20 to 29
III
30%
>= 30
IV
54%
Performance:
• The area under the ROC curve is 0.80.
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