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Risk Factors for Acute Kidney Injury in Hospitalized Non-Critically Ill Patients: A Population-Based Study
Sami Safadi1, Musab S Hommos2, Felicity T Enders3
1Division of Pulmonary and Critical Care Medicine, University of Maryland, Baltimore.
Objective:
To develop and validate an acute kidney injury (AKI) risk prediction model for hospitalized non-critically ill patients.
Patients And Methods:
We retrospectively identified all Olmsted County, Minnesota, residents admitted to non-intensive care unit (ICU) wards at Mayo Clinic Hospital, Rochester, Minnesota, in 2013 and 2014. The cohort was divided into development and validation sets by year. The primary outcome was hospital-acquired AKI defined by Kidney Disease: Improving Global Outcomes criteria. Cox regression was used to analyze mortality data. Comorbid risk factors for AKI were identified, and a multivariable model was developed and validated.
Results:
The development and validation cohorts included 3816 and 3232 adults, respectively. Approximately 10% of patients in both cohorts had AKI, and patients with AKI had an increased risk of death (hazard ratio, 3.62; 95% CI, 2.97-4.43; P<.001). Significant univariate determinants of AKI were preexisting kidney disease, diabetes mellitus, hypertension, heart failure, vascular disease, coagulopathy, pulmonary disease, coronary artery disease, cancer, obesity, liver disease, and weight loss (all P<.05). The final multivariable model included increased baseline serum creatinine value, admission to a medical service, pulmonary disease, diabetes mellitus, kidney disease, cancer, hypertension, and vascular disease. The area under the receiver operating characteristic curves for the development and validation cohorts were 0.71 (95% CI, 0.69-0.75) and 0.75 (95% CI, 0.72-0.78), respectively.
Conclusion:
Hospital-acquired AKI is common in non-ICU inpatients and is associated with worse outcomes. Patient data at admission can be used to identify increased risk; such patients may benefit from more intensive monitoring and earlier intervention and testing with emerging biomarkers.
Insights
A new acute kidney injury (AKI) risk model for non-critically ill patients was developed and validated. This tool helps identify high-risk individuals for earlier intervention, improving outcomes for hospitalized patients with AKI.
Area of Science:
- Nephrology
- Internal Medicine
- Clinical Prediction Models
Background:
- Acute kidney injury (AKI) is a common complication in hospitalized patients.
- AKI in non-intensive care unit (ICU) settings is associated with increased mortality.
- Predictive tools for AKI in non-critically ill patients are needed.
Purpose of the Study:
- To develop and validate a risk prediction model for hospital-acquired AKI.
- To identify key risk factors for AKI in non-critically ill inpatients.
- To improve early detection and management of AKI.
Main Methods:
- Retrospective cohort study of Olmsted County residents admitted to non-ICU wards.
- Development and validation cohorts split by year (2013-2014).
- Cox regression and multivariable modeling to identify AKI predictors.
Main Results:
- AKI occurred in approximately 10% of patients in both development and validation cohorts.
- Patients with AKI had a significantly increased risk of death (HR 3.62).
- Key predictors included baseline creatinine, medical service admission, pulmonary disease, diabetes, kidney disease, cancer, hypertension, and vascular disease.
Conclusions:
- Hospital-acquired AKI is prevalent in non-ICU inpatients and linked to adverse outcomes.
- Admission data can effectively identify patients at increased risk for AKI.
- Early identification may facilitate timely interventions and monitoring.
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