Objectives: Most literature on acute kidney injury (AKI) have focused on complications post-cardiac surgery due to the inherent high risk nature of the procedures. As such, validated AKI risk stratification systems for cardiac surgeries and contrast-related procedures are already in use in clinical practice, but no such scoring system is currently used for non-cardiac procedures. To address this gap in literature and clinical practice, Park, et al (2019) created the SPARK-AKI, an AKI predictive risk stratification model for non-cardiac surgeries. This study aims to validate the SPARK-AKI classification system for use in predicting the occurrence of post-operative AKI among adult Filipino patients undergoing non-cardiac surgery. Methods: This is a single-center, retrospective cohort study of 1,161 adult Filipino patients admitted for and completed any non-cardiac surgery in the Philippine General Hospital from January 1, 2017 to December 31, 2022. Results: A total of 1,161 charts were included in the final data analysis. A total of 243 patients (20.93%) developed AKI post-operatively, with note of increasing incidence of both low-risk and critical AKI as the SPARK-AKI classification increases. However, the resulting sensitivity, specificity, positive predictive value, and area under the curve values were below acceptable ranges. Conclusions: The SPARK-AKI scoring system has low predictive value when applied to the Filipino population.