Clinical characterization of pediatric supratentorial tumors and prediction of pituitary insufficiency in two tertiary centers in Saudi Arabia.

Background: Post-operative pituitary insufficiency (PI) occurs in children with supra-tentorial tumors (STT) because of surgery or the mass effect of the tumor. We assessed the prevalence and clinical characteristics of STTs and predicted postoperative PI in our patients.

Methods: This retrospective cohort study included children who underwent surgery for STT in two tertiary hospitals in Saudi Arabia (2009-2019). We focused on clinical, radiological, and histopathological features of STTs. We also used a linear regression model to predict post-operative PI.

Results: The study included 55 children (1-18 years, mean: 9.5 ± 4.9 years, 32 [54%] females) with an initial presentation of STT that required surgery excluding recurrent episodes. The calculated period prevalence of STT was 18.2%, and the prevalence of postoperative PI was 58.2% (n = 32/55). The most common symptoms were headache and visual disturbances, and 20% patients had preoperative symptoms of PI. Baseline preoperative investigations for PI were performed in 60% of patients, and dynamic tests were conducted in only seven patients. A residual cortisol deficiency was presumed in 24 (43.7%) patients and 18 (32.7%) patients who developed central diabetes insipidus (DI) post-operatively. Overall, the brain imaging correlated well with the histopathological diagnosis (kappa = 0.48;  < .001). Craniopharyngioma (n = 15/55, 27.3%) was the commonest STT. Predictive factors for a postoperative residual PI included age (10.9 ± 4.8 years; p-value = .027), female gender (p-value = .016 [OR = 8.31; 95% CI (1.48-46.71)], presentation with headache ( value = .039 [OR = 9.27; 95% CI (1.12-76.72)]), and visual disturbances (p-value = .044 [OR = 5.07; 95% CI (1.04-24.61)].

Conclusion: STTs commonly occurred in our study population, and females were more prone to develop a residual PI. On-time surveillance of an intact endocrine system during the perioperative period is essential for the prediction and early management of PI.