A crystal ball for ICU infections? new model aims to forecast who survives resistant bacteria
NCT ID NCT07749508
First seen Aug 06, 2026 · Last updated Aug 07, 2026 · Updated 1 time
Summary
This study aims to develop a predictive model for mortality in critically ill patients who carry multidrug-resistant gram-negative bacteria (MDR-GNB). Researchers will follow about 1,500 adults in intensive care units (ICUs) who are colonized with these bacteria, tracking their infections, complications, and outcomes. The goal is to identify factors that help predict which patients are at highest risk of dying, potentially guiding more personalized care.
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 give doctors a tool to identify which ICU patients with resistant bacteria are at highest risk, potentially guiding more aggressive or earlier treatment.
- What could go wrong
- This is an observational study, so it cannot prove cause and effect. The predictive model may not be accurate enough for all patients or hospital settings, and it may not directly improve outcomes.
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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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Hospital Universitario La Paz
RECRUITINGMadrid, Madrid, 28046, Spain
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