Description

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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