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Math models may help doctors give the right dose of infection drugs faster

NCT ID NCT02998411

Knowledge-focused Sponsor: Assistance Publique - Hôpitaux de Paris Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether mathematical models can help doctors choose the best dose of anti-infective drugs for hospitalized patients, especially those with sepsis. Researchers will analyze drug levels and patient data from 60 adults to understand how factors like organ function affect drug concentrations. The goal is to create personalized dosing plans that improve treatment success.

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 more personalized dosing guidelines for anti-infectives, potentially improving outcomes for hospitalized patients with severe infections.
What could go wrong
This is an early observational study with only 60 participants, so results may not apply broadly. The modeling approach may not translate into real-world clinical improvements.

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 60 people

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

Started

Dec 2016

Expected to finish

Dec 2028

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

Adults patients hospitalized in Cochin hospital receiving an AI agent and who require at least one AI concentration measurement or any other biological compartment.

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: * Every adult hospitalized in Cochin hospital, receiving an AI and who require at least one AI concentration measurement or any other biological compartment in the Cochin department of pharmacology Exclusion Criteria: * Patient having notified to the physician the refusal for data recovery

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Conditions

The condition(s) this trial relates to.

infectious disease with sepsis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Patient receiving anti-infectives whatever disease

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. 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 ↗

  3. 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

  • Cochin Hospital

    RECRUITING

    Paris, Paris, 75014, France

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