Table 4

Logistic regression to generate a predictive model for AIP mutations*

VariableOR (95% CI)P value
Age of onset
 >301
 0–1814.34 (7.41 to 29.31)<0.001
 19–302.26 (1.17 to 4.35)0.015
Positive family history10.85 (6.48 to 18.16)<0.001
Diagnosis
 Others1
 GH excess9.74 (5.12 to 18.52)<0.001
 Size (macroadenoma)4.49 (1.91 to 10.59)0.001
  • *Variables are listed in the order of their statistical strength for prediction and each OR is adjusted for all the other variables.

  • AIP, aryl hydrocarbon receptor-interacting protein; GH, growth hormone.