Acute kidney injury (AKI) is a common clinical syndrome, especially patients in the hospital. AKI has become a huge medical burden in China. Little information is available about this disease burden in our country. The investigators aimed to evaluate the burden of AKI and to analyze the related risk factors.
The investigators launch a nationwide of all patients, who were admitted to hospital from 2011-2016. Patients were diagnosed on the basis of changes in serum creatinine by the laboratory information system. The investigators assessed rates of AKI according to the criteria of 2012 Kidney Disease Improving Global Outcomes (KDIGO).
Study Type
OBSERVATIONAL
Enrollment
1,000,000
Nephrology Dept,Guangdong General Hospital
Guangzhou, Guangdong, China
RECRUITINGIncidence of AKI
Time frame: Jan. 2011 to Oct. 2016
Recognition rate of AKI
Using machine learning and deep learning methods to establish AKI prediction model and risk models
Time frame: Jan. 2011 to Oct. 2016
Proportion of nephrology referral
Time frame: Jan. 2011 to Oct. 2016
In-hospital mortality
Time frame: Jan. 2011 to Oct. 2016
Longer ICU stay
Time frame: Jan. 2011 to Oct. 2016
Higher medical cost
Time frame: Jan. 2011 to Oct. 2016
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.