Table 2.

Univariable and multivariable logistic regression analysis to predict biochemical control.

Univariable logistic regression
Dependent Variables	Independent variables	OR (95%CI)	p value
Tight biochemical control (IGF-1 ≤1 xULN)	% GH reduction after acute octreotide test	1.048 (0.980-1.120)	0.175
Biochemical control (IGF-1 ≤1.2 xULN)	% GH reduction after acute octreotide test	1.047 (0.983-1.115)	0.152
IGF-1 reduction >50%	Age ≤40 yrs	0.04 (0.00 – 0.93)	0.045
	BMI	0.866 (0.758-0.989)	0.034
	IGF-1 xULN	2.304 (1.254-4.234)	0.007
	T2-hypointense signal	18 (1.754-184.679)	0.015
	% GH reduction after acute octreotide test	1.024 (0.984-1.066)	0.237
Multivariable logistic regression
Dependent Variables	Independent variables	Adjusted OR (95%CI)	p value
IGF-1 reduction >50%	Age ≤40 yrs	0.04 (0.01 – 0.95)	0.047
	IGF-1 xULN	5.20 (0.94-28.61)	0.058
	T2-hypointense signal	29.45 (0.63-1381.50)	0.085

OR, odds ratio; 95%CI, 95% confidence interval; BMI, body mass index; IGF-1, insulin-like growth factor 1; ULN, upper limit of normality range; yrs, years.

Bold values are statistically significant (p-value ≤ 0.05).