Machine Learning Assisted Electrochemical Profiling to Provide Early Identification of Bloodstream Infections Pathogens (E-MOC)
Towards a Smart Blood Culture Bottle: Machine Learning Assisted Electrochemical Profiling to Provide Early In-situ Identification of Bloodstream Infections Pathogens
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Yvan CASPAR, PharmD, PhD
- Phone Number: +33 476765479
- Email: YCaspar@chu-grenoble.fr
Study Locations
-
-
-
Grenoble, France
- Grenoble University Hospital
-
Contact:
- Yvan CASPAR
- Phone Number: 33 (0)4 76 76 63 12
- Email: YCaspar@chu-grenoble.fr
-
Paris, France
- Hôpital Avicenne (AP-HP)
-
Contact:
- Nicolas VIGNIER
- Phone Number: 33 (0)1 48 95 54 21
- Email: nicolas.vignier@aphp.fr
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- patient requiring a blood culture sample as standard of care procedure
- body weight > 50 Kg
- Patient for whom the collection of 2 to 4 additional blood culture bottles is feasible, depending on venous access
- patient who has not objected to participation in the project
Exclusion Criteria:
- Patient protected under the French Public Health Code (pregnant or breastfeeding women, patients under guardianship or curatorship, hospitalized under constraint, or deprived of liberty)
- patients with ongoing antibiotic treatment at the time of sampling
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Patients
Patients with blood culture sampling as standard of care.
Two to four additional blood culture bottles sampled
|
Patients with blood culture sampling as standard of care.
Two to four additional blood culture bottles sampled that will be spiked with known bacterial species to determine their electrochemical profiles
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
List of samples with an electrochemical profile
Time Frame: From enrollment until the end of measurment of an electrochemical fingerprint in the blood cultures from the patient spiked with bacterial strains, assessed within up to one week after blood culture sampling
|
List of samples (bacterial strain and corresponding pseudonymized blood culture) for which an electrochemical profile of the growing bacteria within the blood culture bottle was successfully obtained
|
From enrollment until the end of measurment of an electrochemical fingerprint in the blood cultures from the patient spiked with bacterial strains, assessed within up to one week after blood culture sampling
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Identification performance
Time Frame: End of the study (18 months)
|
Identification performance of electrochemical profiling of the growing bacteria followed by machine learning analysis
|
End of the study (18 months)
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Lamy B, Sundqvist M, Idelevich EA; ESCMID Study Group for Bloodstream Infections, Endocarditis and Sepsis (ESGBIES). Bloodstream infections - Standard and progress in pathogen diagnostics. Clin Microbiol Infect. 2020 Feb;26(2):142-150. doi: 10.1016/j.cmi.2019.11.017. Epub 2019 Nov 22.
- Dubourg G, Lamy B, Ruimy R. Rapid phenotypic methods to improve the diagnosis of bacterial bloodstream infections: meeting the challenge to reduce the time to result. Clin Microbiol Infect. 2018 Sep;24(9):935-943. doi: 10.1016/j.cmi.2018.03.031. Epub 2018 Mar 29.
- T Babin, T Dedole, P Bouvet, PR Marcoux, M Gougis, P Mailley (2023) Electrochemical label-free pathogen identification for bloodstream infections diagnosis: towards a machine learning based smart blood culture bottle. Sensors and Actuators B. (open access) https://doi.org/10.1016/j.snb.2023.133748
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 38RC24.0111_EMOC
- 2024-A02517-40 (Other Identifier: ID RCB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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