Ruhl and Everhart reported a model based on NHANES data for predicting fatty liver in adults. This can be used to examine time trends in the United States for fatty liver prevalence. The authors are from the National Institute of Diabetes and Digestive and Kidney Diseases.
Parameters:
(1) racial or ethnic group
(2) age in years
(3) waist circumference in cm
(4) serum GGT in IU/L
(5) fasting serum insulin in pmol/L
(6) fasting blood glucose in mg/dL
Parameter
Finding
Beta-Coefficients
race or ethnicity
non-Hispanic black
-0.817
Mexican American
0.346
other
0
age
0.009 * (years)
waist circumference
0.025 * (circumference)
serum GGT
0.615 * LN(GGT)
fasting insulin
1.179 * LN(insulin)
fasting glucose
0.824 * LN(glucose)
value of X =
= SUM(beta-coefficients) - 14.781
probability of fatty liver =
= 1 / (1 + EXP((-1) * X))
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