Plain-English translation of NCT06597838 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing and testing a computer-based prediction model designed to identify hospitalized patients who are at risk of developing acute kidney injury—a serious condition where the kidneys suddenly stop working properly. By analyzing hospital records from thousands of patients across five different hospitals in China, the team hopes to create a simple, real-time tool that doctors can use to spot patients in danger before kidney damage occurs. This type of early warning could help prevent severe complications and save lives.
Acute kidney injury is a common and serious problem for hospitalized patients, but it's often caught too late. If doctors could predict which patients are at highest risk, they could step in earlier with preventive treatments and monitoring. Currently, no easy-to-use prediction tool exists for general hospital patients in developing countries, so this research fills an important gap.
This is an observational study, which means you don't receive any special treatment or medication—researchers simply use your existing hospital medical records and kidney function test results that were already part of your routine care. There are no additional visits, procedures, or time commitments beyond your normal hospitalization. The research team will analyze your data as part of a large group of patients to help develop and test their prediction tool.
AI-generated summary from trial data · Sep 11, 2026 · Not medical advice
China
Sponsor
Peking University First Hospital
Enrollment target
~161,876 participants
Started
February 2023
Primary completion
October 2024
Age range
18 Years – 100 Years
Last updated on clinicaltrials.gov in September 2024.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Yuhui Zhang
Peking University First Hospital