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NCT Number: NCT03054142

China Collaborative Study on Epidemiology of Acute Kidney Injury

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.

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Key information

Conditions

Acute Kidney Injury Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Kidney Diseases Male Urogenital Diseases Renal Insufficiency Urogenital Diseases Urologic Diseases

Sex eligibility

All sexes

Study type

Observational

Primary location

Nephrology Dept,Guangdong General Hospital

Guangzhou, Guangdong, China

Location status: Recruiting

Location contact

Liang Xinling, MD,PhD

CONTACT

[email protected]

86-13808819770

About this study

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).

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

No intervention

Other

Primary outcomes

  1. Incidence of AKI

    Time frame: Jan. 2011 to Oct. 2016

Secondary outcomes

  1. Recognition rate of AKI

    Time frame: Jan. 2011 to Oct. 2016

    Using machine learning and deep learning methods to establish AKI prediction model and risk models

  2. Proportion of nephrology referral

    Time frame: Jan. 2011 to Oct. 2016

  3. In-hospital mortality

    Time frame: Jan. 2011 to Oct. 2016

  4. Longer ICU stay

    Time frame: Jan. 2011 to Oct. 2016

  5. Higher medical cost

    Time frame: Jan. 2011 to Oct. 2016

Study contacts

Contact information is provided by the study sponsor or research team.

Liang Xinling, M.D.,Ph.D

CONTACT

[email protected]

13808819770

Liang Xinling, M.D.,Ph.D

CONTACT

[email protected]

86-13808819770

Sponsors and collaborators

Lead sponsor

XinLing Liang

Other

Registry information

Important dates

Study start
2017
Primary completion
2027
Study completion
2027
First posted
Feb 15, 2017
Registry last updated
Dec 13, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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