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Personalized Optimization of Antibiotic Therapy in Pulmonary Sepsis Critically Ill Patients Through Application of Rapid Microbiological Diagnostic Technologies and Pharmacokinetic/Pharmacodynamic Modelling

Personalized Optimization of Antibiotic Therapy in Pulmonary Sepsis Critically Ill Patients Through Application of Rapid Microbiological Diagnostic Technologies and Pharmacokinetic/Pharmacodynamic Modelling

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06956053
Acronym
IDAST
Enrollment
658
Registered
2025-05-02
Start date
2025-05-30
Completion date
2028-11-30
Last updated
2025-05-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Sepsis

Keywords

Pulmonary sepsis

Brief summary

Severe community-acquired and nosocomial pneumonia are associated with substantial morbidity and mortality. Early and appropriate antimicrobial therapy (AAT) is consistently the most effective intervention for reducing mortality. Cure is most likely when pharmacokinetic (PK) / pharmacodynamics (PD) targets associated with maximum antibiotic (ABX) activity are achieved. However, the process of optimizing antibiotic therapy for critically ill patients remains a complicated challenge. A key issue is pathogen identification (ID) with subsequent antibiotic susceptibility testing (AST) results which allow for selection of AAT. Standard laboratory procedures typically require 2-3 days to provide ID and AST results. Optimal ABX dosing/dosing intervals depend in large part on PK properties in individual patients, and antibacterial effects on the infecting bacteria (PD). Alterations in the primary PK parameters, namely volume of distribution (Vd) and clearance (CL), are commonly observed, and are the most influential parameters in determining ABX dosing and exposure. ABX dosing/dosing intervals that do not account for these features are likely to lead to suboptimal ABX exposure and therapeutic failures. Because of 48-72-hours delays in ID/AST, initial treatment is frequently inappropriate in coverage, unnecessarily broad in spectrum, and/or suboptimal in dosing. Methods for rapid bacterial growth, ID, AST and minimum inhibitory concentration (MIC) identification were developed and are capable of quantitative ID in 1-2 hours and major AST in 6-8 hours using clinical specimens. Rapid ID of the infecting pathogen and its individual AST could significantly impact the early selection of AAT and, combined with therapeutic drug monitoring data, could be used to calculate optimized dosing regimens that are personalized for the patient in order to achieve appropriate PK/PD targets. Hypothesis: Application of these rapid ID/AST systems, together with prospective PK/PD monitoring of antibiotic plasma concentrations, will significantly shorten time from sample to answer for pathogen ID/AST, enhance personalized prescribing of antibiotics, optimize the time to targeted effective and AAT, and result in decreased treatment failure.

Interventions

DIAGNOSTIC_TESTRapid ID/AST method

1. BioFire® Film Array® Blood Culture Identification 2 BCID2 panel, bioMérieux/BioFire Diagnostics, CE marked (FDA cleared) 2. BioFire® FilmArray® Pneumonia Panels, CE marked (FDA cleared) 3. SPECIFIC REVEAL® Rapid Antimicrobial Susceptibility test (AST) System, bioMérieux/Specific Diagnostics, CE-IVD and -IVDR marked

DIAGNOSTIC_TESTConventional biological methods

Usual care

Sponsors

Assistance Publique - Hôpitaux de Paris
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients hospitalized in ICU * 18 years of age or older * With a pulmonary sepsis defined a s documented or suspected acute pulmonary infection (nosocomial and community-acquired pneumonia) and a SOFA score \>2. * Written Informed consent from the patient whenever possible or written ascent from next of kin whenever present at inclusion. When a patient would not be capable of consenting prior to randomization, his/her deferred consent will be gotten.

Exclusion criteria

* COVID-19 patients * Severe anaphylactic beta-lactam allergy * First measurements of prescribed antibiotic concentration (TDM) not possible within 24 hr after randomization * Pregnancy or lactation * Any decision of limitation of care * Pre-existing medical condition with a life expectancy of less than 3 months * Absence of affiliation to social security * Patient under guardianship, curatorship and deprived of liberty

Design outcomes

Primary

MeasureTime frameDescription
Rate of treatment failureUp to 10 days after inclusionIt includes treatment failure that occurred early (≤72 hours) or late (\>72 hours), or at both times.

Secondary

MeasureTime frameDescription
Time to availability of pathogenUp to 180 daysID/AST, MICs and conventional results
Time to achieve targeted optimized therapyUp to 180 daysIt includes both pathogen-appropriate drug selection and appropriate dosing with plasma ABX concentration achieving PK/PD targets.
Time to antibiotic switchesUp to 180 days
Number of started, stopped, added or adjusted (escalation or de-escalation) antibioticsUp to 180 days
Time to Aantibiotic dose adjustments to achieve PK/PD targetsUp to 180 days
All-Cause mortalityUp to 180 daysAt ICU
All Cause MortalityAt day 90
SOFA score assessmentUp to 28 daysEvolution of organ failures by daily SOFA score assessment
Organ-failure free days (SOFA<6)Up to day 28
Proportion of patients requiring invasive mechanical ventilationAt day 7Duration of invasive mechanical ventilation
Ventilator free daysAt day 28
Vasopressor free daysAt day 28
ICU length of stayup to day 180
Hospital length of stayup to day 180
Number of serious adverse eventsup to day 180As per MEDDRA classification

Contacts

Primary ContactPierre Moine, MD PhD
pierre.moine@aphp.fr1 47 10 77 82
Backup ContactJérôme Lambert, MD PhD
jerome.lambert@u-paris.fr1 42 49 97 42

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026