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

NCT ID NCT02998411

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

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.

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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

Contacts and locations

Locations

Cochin Hospital
RECRUITING

Paris, Paris, 75014, France

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