China Collaborative Study on Epidemiology of Acute Kidney Injury

Recruiting

• Conditions: Acute Kidney Injury
• Interventions: Other: no intervention

• Registration Number: NCT03054142
• Lead Sponsor: XinLing Liang

Brief Summary

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.

Detailed Description

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 Timeline

• Study Start: 2017-01
• Study First Submitted: 2017-02-13
• Study First Submitted QC: 2017-02-14
• Study First Posted: 2017-02-15
• Status Verified: 2022-12
• Last Update Submitted: 2022-12-10
• Last Update Posted: 2022-12-13
• Primary Completion: 2027-12-31
• Study Completion: 2027-12-31

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 1000000

Inclusion Criteria

• The patients diagnosed on the basis of changes in serum creatinine according to the criteria of 2012 Kidney Disease Improving Global Outcomes(KDIGO)

Exclusion Criteria

• Serum creatinine record less than two times during hospitalization
• Patients being diagnosed with End-stage kidney disease (chronic kidney disease stage 5)
• Nephrectomy
• Kidney transplantation
• Peak serum creatinine of less than 53µ mol/L
• Serum creatinine decrease after amputation

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
non-AKI	no intervention	-
AKI	no intervention	-

Primary Outcome Measures

Name	Time	Method
Incidence of AKI	Jan. 2011 to Oct. 2016

Secondary Outcome Measures

Name	Time	Method
Longer ICU stay	Jan. 2011 to Oct. 2016
In-hospital mortality	Jan. 2011 to Oct. 2016
Recognition rate of AKI	Jan. 2011 to Oct. 2016	Using machine learning and deep learning methods to establish AKI prediction model and risk models
Proportion of nephrology referral	Jan. 2011 to Oct. 2016
Higher medical cost	Jan. 2011 to Oct. 2016

Trial Locations

Locations (1)

Nephrology Dept,Guangdong General Hospital; 🇨🇳 Guangzhou, Guangdong, China