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. 2021 Jul 14;11:698150. doi: 10.3389/fonc.2021.698150

Table 3.

Result of univariable logistic regression for potential risk factors of cerebral infarcts (CI) and multivariable logistic regression model for CI chosen by a stepwise selection algorithm in patients with childhood-onset craniopharyngioma recruited in KRANIOPHARYNGEOM 2007 between 2007 and 2019.

Effect Comparison p-value Odds ratio
(Wald) (95% confidence interval)
Univariable logistic regression model for potential risk factors of CI
Age at diagnosis (n = 242) per year 0.9637 0.998 (0.908; 1.096)
Sex (n = 242) female vs. male 0.3372 0.668 (0.294; 1.522)
Initial tumor volume (n = 220) per cm³ 0.2753 1.005 (0.996; 1.013)
Grade of HI (n = 241) 2 vs. 1 or 0 0.0762 2.711 (0.900; 8.167)
Hydrocephalus (n = 222) yes vs. no 0.0003 6.632 (2.399; 18.331)
Gross-total resection (n = 242) yes vs. no 0.0819 2.130 (0.909; 4.993)
Grade of HL (n = 241) 2 vs. 1 or 0 0.0237 2.598 (1.136; 5.943)
Multivariable logistic regression model for CI chosen by a stepwise selection algorithm
Hydrocephalus yes vs. no 0.0001 7.652 (2.695; 21.722)
Gross-total resection yes vs. no 0.0319 2.757 (1.092; 6.958)

HI, preoperative hypothalamic involvement; HL surgical hypothalamic lesion.