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. 2018 Feb 10;55(4):254–260. doi: 10.1136/jmedgenet-2017-104957

Table 4.

Logistic regression to generate a predictive model for AIP mutations*

Variable OR (95% CI) P value
Age of onset
 >30 1
 0–18 14.34 (7.41 to 29.31) <0.001
 19–30 2.26 (1.17 to 4.35) 0.015
Positive family history 10.85 (6.48 to 18.16) <0.001
Diagnosis
 Others 1
 GH excess 9.74 (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.