NCT07317817

Research on Risk Assessment and Early Warning Models for Adverse Clinical Outcomes in Critically Ill Patients

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 55,940 (actual)
• Sponsor: Chongqing Medical University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

This is a medical research study that uses information from past patient hospital records. It focuses on three serious conditions that often affect critically ill patients: sepsis (a life-threatening body-wide infection), ARDS (a severe lung injury that makes breathing very difficult), and acute kidney injury (sudden loss of kidney function). The goal is to better understand which patients in the ICU are at highest risk of developing these conditions or getting worse. Researchers will look at de-identified information from medical records of patients treated in the ICU . The study will use computer analysis to find patterns in the data that may help doctors predict these risks earlier. No new treatments are being tested, and no patients will be contacted or recruited for this study. All data used is anonymous to protect patient privacy.

Conditions

• Sepsis
• ARDS (Acute Respiratory Distress Syndrome)
• AKI - Acute Kidney Injury

Interventions

Type	Name	Description
OTHER	No intervention (Observational study)	This is a non-interventional, observational study. The aim is to develop and validate a predictive model using existing clinical data. No medical interventions (such as drugs, devices, or procedures) are being administered, assigned, or compared as part of this research protocol. The "intervention" of interest is the application of the predictive model for risk assessment, which is an analytical procedure, not a patient-directed intervention.

Timeline

• Start date: 2017-10-01
• Primary completion: 2024-01-31
• Completion: 2024-01-31
• First posted: 2026-01-05
• Last updated: 2026-01-05

Locations

1 site across 1 country: China