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Abstract: SA-PO111

Risk Prediction Score for AKI in Critically Ill Septic Filipino Patients Admitted in Perpetual Succour Hospital: An Analytical Prospective Cohort Single-Center Study

Session Information

Category: Acute Kidney Injury

  • 102 AKI: Clinical, Outcomes, and Trials


  • Mejos, Joel John Centino, Perpetual Succour Hospital, Cebu City, Central Visayas, Philippines
  • Darunday, Grecia, Perpetual Succour Hospital, Cebu City, Central Visayas, Philippines
  • Polito, Eratosthenes S., Perpetual Succour Hospital, Cebu City, Central Visayas, Philippines

Acute kidney injury (AKI) is a lethal complication of critical illness characterized by the rapid loss of the kidney's excretory function encountered in 50% of intensive care unit (ICU) admissions. Its impact on the outcome of critically ill patients makes AKI a significant cause of morbidity and mortality.


This is a prospective cohort study conducted in a tertiary hospital in Cebu from February to September 2020. The data of 2545 patients were identified by chart review but only 607 patients with a quick Sepsis Organ Failure Assessment Score (qSOFA) score of >2 were included in the pre-screening. A total of 198 septic ICU patients were enrolled. Demographic profile, laboratory results and outcome data were collated. Variables were screened then stepwise forward elimination was done to identify the significant predictors. An AKI risk score model was developed with binomial regression analysis by identifying independent prognostic factors. The diagnostic ability of the model was determined by the Area under the Receiver Operating Characteristics (AuROC).


AKI developed in 155 (78%) patients. The significant predictors for Acute Kidney Injury were age, hypertension, atherosclerotic cardiovascular disease, weight, white blood count, creatinine, and BUN. An AKI prediction model with a cut off score of 161.9 was made with a fair diagnostic ability for predicting AKI at 0.79 based on AuROC.


The developed risk prediction tool using routinely available variables is found to be fairly accurate to predict the development of AKI among critically ill septic patients. This can aid clinicians to identify high risk population and will provide strategies for prevention, early diagnosis and treatment.

The cut-off total score of 161.9 was used in the formulation of AKI detection as dictated by the receiving operating characteristic (ROC) based on the coordinates at 0.80 (sensitivity/specificity).