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New model aims to crack the code on antibiotic-resistant sepsis in the ER

NCT ID NCT07167173

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

Sepsis is a life-threatening reaction to infection, and choosing the right antibiotic quickly is critical. This study will analyze data from 10,000 adults treated for sepsis in an emergency department to build a predictive model that estimates the likelihood of multidrug-resistant bacteria. The goal is to help doctors make better antibiotic choices, improving outcomes and reducing the spread of resistance.

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 tool that helps doctors choose the right antibiotics faster for sepsis patients, potentially improving survival and slowing antibiotic resistance.
What could go wrong
This is an observational study, not a treatment trial. The model may not work well in other hospitals or regions, and it won't directly help patients until it's tested in real-time use.

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

About 10,000 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Oct 2025

An estimate. Start dates often move.

Expected to finish

Oct 2025

An estimate. End dates often move.

Lead sponsor

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

Individuals aged 18 years or older with sepsis.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria * Adults aged 18 years or older. * Attended at the Adult Emergency Department of Hospital Italiano de Buenos Aires during the periods: * January 1, 2017 - March 20, 2020, or * May 1, 2022 - August 10, 2025. * Sepsis or septic shock at presentation and at least 48 hours of observation or hospital admission. * Bacterial cultures obtained during the initial evaluation. Exclusion Criteria * No indication for antibiotic therapy within the first 48 hours of hospital admission. * No bacterial cultures performed within the first 48 hours of hospital admission. * SARS-CoV-2 infection diagnosed within the first 72 hours of hospital admission.

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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

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  1. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  2. A doctor treating you

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