Trends in Hospitalizations for Acute Kidney Injury — United States, 2000

Trends in Hospitalizations for Acute Kidney Injury — United States, 2000–2014

Published:2018-03-16 Issue:10 Volume:67 Page:289-293
ISSN:0149-2195
Container-title:MMWR. Morbidity and Mortality Weekly Report
language:
Short-container-title:MMWR Morb. Mortal. Wkly. Rep.

Author:

Pavkov Meda E.¹,Harding Jessica L.¹,Burrows Nilka R.¹

Affiliation:

1. Division for Diabetes Translation, CDC.

Publisher

Centers for Disease Control MMWR Office

Subject

Health Information Management,Health, Toxicology and Mutagenesis,General Medicine,Health(social science),Epidemiology

Reference11 articles.

1. Moore BJ, Torio CM. Healthcare Cost and Utilization Project. Statistical brief #231: acute renal failure hospitalizations, 2005–2014. Rockville, MD: Agency for Healthcare Research and Quality; 2017. https://www.hcup-us.ahrq.gov/reports/statbriefs/sb231-Acute-Renal-Failure-Hospitalizations.pdf

2. 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.

3. Epidemiology of AKI: utilizing large databases to determine the burden of AKI.;Sawhney;Adv Chronic Kidney Dis,2017

4. 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

5. Design and estimation for the National Health Interview Survey, 2006–2015.;Parsons;Vital Health Stat,2014

Cited by 91 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compensation Models in Heart Failure;JACC: Heart Failure;2024-08

2. Urban-Rural Differences in Acute Kidney Injury Mortality in the United States;American Journal of Preventive Medicine;2024-08

3. Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study;J MED INTERNET RES;2024

4. Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study;Journal of Medical Internet Research;2024-05-01

5. Subcutaneous injection of adipose stromal cell-secretome improves renal function and reduces inflammation in established acute kidney injury;Stem Cell Research & Therapy;2024-04-24