Risk Factors for Acute Kidney Injury in Hospitalized Non–Critically Ill Patients: A Population-Based Study

Sami Safadi, Musab S. Hommos, Felicity T. Enders, John C. Lieske, Kianoush B. Kashani

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)459-467
Number of pages9
JournalMayo Clinic Proceedings
Volume95
Issue number3
DOIs
StatePublished - Mar 2020
Externally publishedYes

Bibliographical note

Funding Information:
Grant Support: This study was supported by the Mayo Foundation and by grant UL1TR000135 from the Mayo Clinic Center for Clinical and Translational Science. This study was also made possible by the Rochester Epidemiology Project (grant number R01-AG034676 ; Principal Investigators: Walter A. Rocca, MD, MPH, and Jennifer L. St Sauver, PhD).

Publisher Copyright:
© 2019 Mayo Foundation for Medical Education and Research

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

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