Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study

Table 5

Algorithm for estimating risk of T2DM using part of the components of MetS (stepwise model).

(a) Prediction model for man

Item	Item score
(1) Age ≥ 50 years	44
(2) Hypertension	8
(3) 2-hour postprandial plasma glucose (2hPG) ≥ 7.8 mmol/L	37
(4) Fasting plasma glucose level ≥ 6.1 mmol/L	30
(5) Triglyceride ≥ 1.7 mmol/L	30
Total item score	3-year risk of T2DM
0~65	<10%
66~92	10%~20%
93~108	20%~30%
109~122	30%~40%
123~135	40%~50%
136~141	50%~60%
>141	>60%

(b) Prediction model for woman

Item	Item score
(1) Age ≥ 55 years	57
(2) Fasting plasma glucose level ≥ 6.1 mmol/L.	14
(3) 2-hour postprandial plasma glucose (2hPG) ≥ 7.8 mmol/L	21
(4) Triglyceride ≥ 1.7 mmol/L	19
Total item score	3-year risk of T2DM
0~67	<10%
68~80	10%~20%
81~90	20%~30%
91~97	30%~40%
98~105	40%~50%
>105	>50%