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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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May 2026
- Expected to finish
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Dec 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adult ICU patients
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age ≥18 years; * ICU stay ≥48 hours; * At least one clinical microbiological specimen collected and submitted for testing within 48 hours of ICU admission, with the first submission time designated as the index time; * Core predictive variables of the model extractable from electronic medical records or laboratory information systems. Exclusion Criteria: * For patients with multiple ICU admissions, only the first ICU stay was retained; * Missing or indeterminate primary outcome; * Missing key predictive variables that could not be handled according to prespecified rules.
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
11 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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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