Predictors of mortality at 3 months in patients with skull base tumor resections in a low-income setting

• Published in: Frontiers in surgery 2024, Vol.11, p.1398829
• Main Authors: Shiferaw, Mestet Yibeltal, Baleh, Abat Sahlu, Gizaw, Abel, Teklemariam, Tsegazeab Laeke, Aklilu, Abenezer Tirsit, Awedew, Atalel Fentahun, Anley, Denekew Tenaw, Mekuria, Bereket Hailu, Yesuf, Ermias Fikiru, Yigzaw, Mengistu Ayele, Molla, Henok Teshome, Awano, Mekides Muse, Mldie, Alemu Adise, Abebe, Endeshaw Chekole, Hailu, Nebyou, Daniel, Sura, Gebrewahd, Dejen Teke
• Format: Article
• Language: English
• Subjects: Ethiopia; meningioma; mortality; pituitary adenoma; resection; skull base tumors; Surgery
• ISSN: 2296-875X; 2296-875X
• DOI: 10.3389/fsurg.2024.1398829

Globally, skull base tumors are among the most challenging tumors to treat and are known for their significant morbidity and mortality. Hence, this study aimed to identify robust associated factors that contribute to mortality of patients following surgical resection for a variety of skull base tumors at the 3-month follow-up period. This in turn helps devise an evidence-based meticulous treatment strategy and baseline input for quality improvement work. A retrospective cohort study of patients undergoing skull base tumor resection was conducted at two large-volume neurosurgery centers in Ethiopia. The categorical variables were expressed in frequencies and percentages. Normal distribution of continuous data was checked by histogram and the Shapiro-Wilk test. Median with interquartile range (IQR) was calculated for skewed data, while mean with standard deviation (SD) was used for normally distributed data. Odds ratio and adjusted odds ratio (AOR) were used to express the result of univariate and multivariate binary logistic analyses, respectively. A -value