Acute Kidney Injury
Conditions
Brief summary
Acute kidney injury (AKI) in critically ill patients is characterized by high incidence, delayed diagnosis and treatment, and high mortality. Early identification and precision management are key to improving prognosis. Currently, in China, the population with severe AKI faces prominent challenges, including a lack of standardized, localized specialized data, insufficient early warning and subtyping capabilities, and a shortage of high-quality evidence-based guidance for clinical decision-making. These issues constrain the application of artificial intelligence (AI) technologies in the precision diagnosis and treatment of AKI. Leveraging the Critical Care Medicine Specialty Alliance, which has been approved by the Beijing Hospital Management Center and consists of 19 tertiary hospital ICUs nationwide, this project will conduct a three-year prospective, observational registry study. The investigators plan to consecutively enroll 23,600 adult critically ill patients (with an anticipated \>3,000 AKI patients). The study will systematically collect clinical characteristics, time-series monitoring data, laboratory parameters, renal ultrasound imaging, biomarkers, and omics data, while concurrently retaining biological samples, to establish the largest multi-modal specialized disease dataset and biobank for severe AKI in China. Focusing on the entire AKI continuum of "early warning - diagnosis - phenotyping - treatment - prognosis," the study aims to: ① characterize the epidemiological features and disease burden of ICU-AKI in China; ② develop an early warning system for AKI; ③ identify AKI sub-phenotypes using machine learning and establish a precision management framework; ④ develop an intelligent decision support system for renal replacement therapy; ⑤ evaluate prognosis; and ⑥ promote medical-engineering collaborative translation. Expected outcomes include 3-5 early warning/prognostic models and one intelligent decision support system, along with applications for 3-5 invention patents and 2-3 software copyrights. The project aims to translate at least one outcome into practical application, provide high-level evidence-based support for developing national guidelines on severe AKI management tailored to China's context, and contribute to reducing the incidence and mortality of AKI.
Interventions
OTHERNot applicable- observational study
Save the blood and urine samples
Sponsors
Beijing Chao Yang Hospital
The People's Hospital of Hebei Province
Tianjin First Central Hospital
Second Hospital of Shanxi Medical University
Beijing Obstetrics and Gynecology Hospital
Affiliated Hospital of Hebei University
Hebei Provincial Hospital of Traditional Chinese Medicine
Hangzhou Hospital of Traditional Chinese Medicine
Baoding First Central Hospital
The Hospital of Shunyi District Beijing
Cangzhou Central Hospital
Hengshui People's Hospital
General Hospital of Taiyuan Iron & Steel Company
Changzhi People's Hospital
Jincheng People's Hospital
Xinxiang Central Hospital
Luohe Central Hospital
Inner Mongolia Baogang Hospital
Tianjin Medical University Cancer Institute and Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Age ≥ 18 years; 2. Expected ICU stay ≥ 24 hours; 3. Informed consent signed.
Exclusion criteria
1. End-stage renal disease (ESRD) on maintenance dialysis; 2. Post-renal transplant; 3. Pregnant women; 4. Lactating women; 5. Advanced cancer; 6. End-stage disease; 7. AKI already diagnosed prior to ICU admission; 8. Expected survival \< 48 hours; 9. Refusal to participate in the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Incidence of acute kidney injury during ICU admission | During ICU admission, assessed up to 1 year |
Secondary
| Measure | Time frame |
|---|---|
| Rate of complete renal recovery | 7 days after AKI diagnosis |
| ICU length of stay (ICU LOS) in AKI patients | Assessed at ICU discharge, up to 1 year |
| Total hospital length of stay (Total hospital LOS) | Assessed at hospital discharge, up to 1 year |
| In-hospital survival rate | Assessed at hospital discharge, up to 1 year |
| 28-day survival rate | 28 days after AKI diagnosis |
| RRT duration | Assessed at RRT cessation or ICU discharge, up to 90 days |
| Rate of RRT dependence | Rate of RRT dependence at 28 days after AKI diagnosis |
Countries
China
Outcome results
None listed