Palekar et al developed a simple model for distinguishing nonalcoholic steatohepatitis (NASH) from simple steatosis in a nonalcoholic patient. The authors are from Wilford Hall Medical Center, Brooke Army Medical Center and Fort Sam Houston in Texas.
Parameters:
(1) age of the patient in years
(2) gender
(3) serum AST in IU/L
(4) body mass index (BMI)
(5) serum AST to ALT ratio (AAR)
(6) serum hyaluronic acid (HA) in µg/L
Parameter |
Finding |
Points |
age of the patient in years |
< 50 years |
0 |
|
>= 50 years |
1 |
gender |
male |
0 |
|
female |
1 |
serum AST |
< 45 IU/L |
0 |
|
>= 45 IU/L |
1 |
AST to ALT ratio |
< 0.80 |
0 |
|
>= 0.80 |
1 |
body mass index |
< 30 kg per square meter |
0 |
|
>= 30 kg per square meter |
1 |
serum hyaluronic acid |
< 55 µg/L |
0 |
|
>= 55 µg/L |
1 |
number of parameters present =
= SUM(points for all 6 parameters)
Interpretation:
• minimum number of parameters: 0
• maximum number of parameters: 6
• A cutoff of 3 or more parameters was used to identify a patient with NASH.
• A hyaluronic acid concentration of >= 45.3 µg/L predicted advanced fibrosis (Stage 3 or 4) in a patient with NASH.
Performance:
• The sensitivity at the cutoff was 74% and specificity 66% (mediocre).
• The positive predictive value was 68% and negative predictive value 71%.
Limitations:
• Laboratory measurement of AST, ALT and HA must be comparable.
• Hyaluronic acid was measured on Wako LiBASys Immunoassay Analyzer. The normal reference range was not reported.
Specialty: Gastroenterology, Nutrition