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Kidney Week

Abstract: PO0075

Prediction of AKI in Inpatient General Medical Ward Units

Session Information

Category: Acute Kidney Injury

  • 102 AKI: Clinical, Outcomes, and Trials

Authors

  • Chiao, Cassandra, University of Wisconsin System, Madison, Wisconsin, United States
  • Urbas, Rachel, University of Wisconsin System, Madison, Wisconsin, United States
  • Osman, Fauzia, University of Wisconsin System, Madison, Wisconsin, United States
  • Singh, Tripti, University of Wisconsin System, Madison, Wisconsin, United States
Background

Acute kidney injury (AKI) is common in hospitalized patients (A). A few scoring systems have been proposed to predict the risk of developing AKI in certain populations such as cardiac catheterization patients (B, C, D, E, F). However, there is no scoring system for predicting AKI in patients on the general medical wards. Our aim is to predict the development of AKI in acute general medical patients.

Methods

Retrospective single center study of all adult patient admitted to a tertiary care university hospital between July 2016-July 2018. AKI was defined by the KDIGO definition of AKI and all stages of AKI were included. We used chi-squared tests, ANOVA, and Kruskal Wallis to determine statistically significant factors. We calculated odds of AKI using logistic regression models. All analyses were conducted using STATA SE 15.

Results

A total of 10,981 were included in the study, 1573 (14.3%) with AKI and 9408 (85.7%) without AKI. Baseline demographics were significantly different between the two groups including age, race, length of hospital stay (p<0.001). In the univariate analysis, history of cancer and diabetes, proteinuria, admission BUN, hemoglobin (HGB), and hypotension during admission were predictive of AKI. After adjustment for significant univariate factors, age (OR 0.97 [0.96–0.99], P<0.001), admission BUN (OR 1.02 [1.01–1.04], P<0.001), and HGB (OR 0.79 [0.73–0.85], P<0.001) were significant in the multivariate analysis (Table 1).

Conclusion

We found that the age, admission BUN, and HGB were predictive of AKI in inpatient general medical units. These criteria can be used in acute general medicine patients to create a scoring system to determine the likelihood of developing AKI and therefore prevent AKI and its downstream complications in these patients.