Trends in Hospitalizations for Acute Kidney Injury - United States, 2000-2014
- PMID: 29543788
- PMCID: PMC5857198
- DOI: 10.15585/mmwr.mm6710a2
Trends in Hospitalizations for Acute Kidney Injury - United States, 2000-2014
Abstract
Acute kidney injury is a sudden decrease in kidney function with or without kidney damage, occurring over a few hours or days. Diabetes, hypertension, and advanced age are primary risk factors for acute kidney injury. It is increasingly recognized as an in-hospital complication of sepsis, heart conditions, and surgery (1,2). Its most severe stage requires treatment with dialysis. Acute kidney injury is also associated with higher likelihood of long-term care, incidence of chronic kidney disease and hospital mortality, and health care costs (1,2). Although a number of U.S. studies have indicated an increasing incidence of dialysis-treated acute kidney injury since the late 1990s (3), no data are available on national trends in diabetes-related acute kidney injury. To estimate diabetes- and nondiabetes-related acute kidney injury trends, CDC analyzed 2000-2014 data from the National Inpatient Sample (NIS) (4) and the National Health Interview Survey (NHIS) (5). Age-standardized rates of acute kidney injury hospitalizations increased by 139% (from 23.1 to 55.3 per 1,000 persons) among adults with diagnosed diabetes, and by 230% (from 3.5 to 11.7 per 1,000 persons) among those without diabetes. Improving both patient and provider awareness that diabetes, hypertension, and advancing age are frequently associated with acute kidney injury might reduce its occurrence and improve management of the underlying diseases in an aging population.
Conflict of interest statement
No conflicts of interest were reported.
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References
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- United States Renal Data System. USRDS 2016 annual data report: an overview of the epidemiology of kidney disease in the United States. Bethesda, MD: National Institutes of Health; 2016.
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- Agency for Healthcare Research and Quality. Healthcare Cost and Utilization Project. NIS database documentation; Rockville, MD: Agency for Healthcare Research and Quality; 2017. http://www.hcup-us.ahrq.gov/db/nation/nis/nisdbdocumentation.jsp
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- Parsons VL, Moriarity C, Jonas K, et al. Design and estimation for the National Health Interview Survey, 2006–2015. Vital Health Stat 2014;2:1–44. - PubMed
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