TyG-BMI

Triglyceride-Glucose index multiplied by BMI
Triglyceride-Glucose index multiplied by BMI is one of the best models to predict NAFLD.
The TyG calculation has two different formulas. This calculation uses the TyG formula with a cut-off of around 4.
Enter values
 
Value
Unit
Weight
Height
Triglycerides
Glucose

TyG-BMI ranges for

Steatosis (USG) was associated with TyG-BMI above 102 in males:
102
Steatosis (CAP ≥ 268.5 dB/m) was associated with TyG-BMI above 118.2:
118.2
Steatosis (CAP ≥ 238 dB/m) was associated with TyG-BMI above 115:
115
Steatosis (CAP ≥ 248 dB/m) was associated with TyG-BMI above 119:
119
Steatosis (CAP ≥ 288 dB/m) was associated with TyG-BMI above 140:
140
Significant fibrosis (biopsy) was associated with TyG-BMI above 126:
126
Risk Scale
Optimal range for TyG-BMI appears to be below 110:
70
110
120
190
  • green - NAFLD unlikely
  • yellow - NAFLD possible
  • red - NAFLD likely
Why this optimal range?

After harmonizing all studies to use the same TyG formula and adjusting for the CAP thresholds, the findings align well across different cohorts.

The proposed optimal TyG-BMI range is based on a CAP threshold of ≥ 248 dB/m, which corresponds to S1 steatosis (≥ 5 % hepatocyte fat).

Triglyceride-Glucose index multiplied by BMI is one of the best models to predict NAFLD.

Images

Strong relationship between TyG-BMI and CAP for predicting steatosis

Strong relationship between TyG-BMI and CAP for predicting steatosis

Some studies calculated TyG-BMI using an incorrect TyG formula, so I’ve recalculated TyG with the correct formula and then updated the TyG-BMI threshold accordingly.

Individual Biomarkers

See how each biomarker is interpreted on its own.

Triglycerides: 000 mg/dL

Triglycerides are the main form of fat circulating in the blood, produced from excess dietary energy (mostly carbohydrates) and stored or transported as a key fuel source for the body.
40
80
150
350

Glucose: 000 mg/dL

Primary blood sugar measured after 12 hour overnight fasting. Reflects baseline glucose metabolism and is influenced by recent carbohydrate intake, acute stress, and physical activity.
65
75
88
100
250

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Zsolt Szabo
Zsolt Szabo
Precision Health Consultant for Longevity Clinics

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