Background: Understanding factors associated with mortality in critically ill patients admitted to intensive care units (ICUs) is essential for improving patient outcomes. This retrospective analysis aims to identify predictors of mortality among ICU admissions, providing insights into patient management and care strategies. Methods: Methods: A retrospective analysis of ICU admissions was conducted using electronic medical records from January 2022 to January 2023. Patients meeting criteria for critical illness and requiring ICU admission were included. Data on demographics, comorbidities, clinical indicators, and interventions were collected. The primary outcome was mortality during ICU stay. Univariate and multivariate analyses were performed to identify predictors of mortality. Results: A total of 500 ICU admissions met inclusion criteria. The overall ICU mortality rate was 25%. Univariate analysis revealed several factors significantly associated with mortality, including age >65 years (p < 0.001), presence of comorbidities (p = 0.003), severity of illness scores (e.g., APACHE II, SOFA) (p < 0.001), need for mechanical ventilation (p < 0.001), and vasopressor support (p < 0.001). Multivariate analysis identified age >65 years (odds ratio [OR] 2.5; 95% confidence interval [CI] 1.7-3.6), severity of illness scores (OR 3.2; 95% CI 2.1-4.8), and vasopressor support (OR 4.1; 95% CI 2.8-5.9) as independent predictors of mortality. Conclusion: This retrospective analysis identifies age >65 years, severity of illness scores, and vasopressor support as significant predictors of mortality in critically ill patients admitted to the ICU. These findings underscore the importance of early identification and targeted interventions for high-risk patients to improve outcomes. Further research is warranted to validate these predictors and explore additional factors influencing mortality in the ICU setting.