New risk model could help predict superbug infections in ICUs
NCT ID NCT07603128
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing a risk prediction model for MDRGNB, a type of drug-resistant infection, in 1,000 ICU patients across multiple hospitals. Researchers will check how well the model predicts who gets infected, using data collected within 48 hours of ICU admission. The goal is to improve early detection and guide antibiotic use, but this is an observational study, not a treatment.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a reliable tool for predicting MDRGNB infections in ICU patients, helping doctors start the right antibiotics sooner.
- What could go wrong
- This is an observational study, not a treatment trial. The model may not perform as well in real-world settings, and results may not apply to all hospitals.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Ankang People's Hospital
NOT_YET_RECRUITINGAnkang, China
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First Affiliated Hospital of Gannan Medical University
NOT_YET_RECRUITINGGanzhou, China
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Guangxi Provincial Tumor Hospital
RECRUITINGNanning, China
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Huaian First People's Hospital
NOT_YET_RECRUITINGHuaian, China
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Nanjing Drum Tower Hospital
RECRUITINGNanjing, Jiangsu, 210008, China
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Shaanxi Provincial People's Hospital
NOT_YET_RECRUITINGXi'an, China
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Shanghai Ruijin Hospital
RECRUITINGShanghai, China
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Sinopharm Tongmei General Hospital
NOT_YET_RECRUITINGDatong, China
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Zhanjiang Central People's Hospital
NOT_YET_RECRUITINGZhanjiang, China
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Zhejiang Hospital
RECRUITINGHangzhou, China
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Zhejiang Provincial People's Hospital
NOT_YET_RECRUITINGHangzhou, China
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