#959 Developing and validating a risk score model for prediction of AKI in non-ICU hospitalized patients

Abstract

Abstract Background and aim : Acute kidney injury (AKI) is an increasingly common and potentially catastrophic complication in hospitalized patients. Several risk score models have been designed for intensive care unit (ICU) patients. Aim in this work was to establish a new risk prediction score for AKI patients in general wards. Methods All hospitalized ward patients from the first of July 2019 to 31st of December 2019 who developed AKI 24 hours after admission were included. To create a new prediction score model of AKI in hospitalized patients we used the data collected from 107 patients who developed AKI. We used our prospective cohort to develop and validate this prediction score model of AKI in patients admitted to general wards. Results Only 107 patients of 10,243 (1%) developed AKI 24 hours after admission to the general wards. Mortality rate was 26.2%. A score model of 15 points, based on a combination of clinical and laboratory data, was developed for prediction of AKI. We demonstrated that a cutoff value ≥ 4 out of 15 was a predictor of Acute Kidney Injury in non-ICU hospitalized patients. The area under the receiver operating characteristic (AUC ROC) value of the score model was 0.950, 95% CI (confidence interval) 0.922–0.978 and the P-value <0.001 with sensitivity of 94.39 and specificity of 81.43. Applying the score model in another group of patients (validation group n = 122) showed that the AUC ROC value in the validation group was 0.826. Conclusion We developed and validated a new risk score model with a cutoff value ≥ 4 out of 15 for prediction of Acute Kidney Injury in non-ICU hospitalized patients with a good sensitivity and specificity. It will help the early prediction of Acute Kidney Injury in non-ICU patients.