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Study of Accuracy of New Diagnostic Technology to Determine Guide Rapid Antibiotic Treatment for Serious Infections

Rapid Microbiological Diagnostics for MDRO Quantitative Identification and Resistance Phenotyping to Guide Antibiotic Selection in Wounded Warriors and Veterans

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02060513
Acronym
RAMPED
Enrollment
2298
Registered
2014-02-12
Start date
2013-08-31
Completion date
2016-11-30
Last updated
2025-12-12

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

Conditions

Healthcare-associated Infection, Infection, Infection Due to Resistant Bacteria, Skin and Subcutaneous Tissue Bacterial Infections

Keywords

Wounded warriors, Battlefield infection, Acinetobacter, ESBL, MRSA, KPC

Brief summary

Military service members and the U.S. veteran population face a growing and serious health threat: widespread antibiotic resistance resulting from resistant bacteria and a dwindling pipe-line of sufficiently potent antibiotics. Infections with antibiotic resistant bacteria are increasing significantly. They cause major complications and mortality, and drive up healthcare costs. Powerful but non-targeted antibiotics, while in widespread use, can actually pressure bacteria to develop resistance.

Detailed description

Current methods for diagnosing infections typically require 2-3 days to produce results that can guide antibiotic choice. That is frequently too delayed to help clinicians make good treatment decisions. This also results in inappropriate or over-treatment with non-targeted antibiotics that are started while awaiting lab results. More rapid technologies that can accurately diagnose the specific cause of an infection could guide early, targeted antibiotic treatment. This would result in more effective early treatment of infection, decrease unnecessary exposure to excess antibiotics, and could slow the development of antibiotic resistance. By diagnosing infections earlier, we expect to reduce the complications and mortality of combat-related infections in Wounded Warriors and Military Veterans. We propose a new ultra-rapid technology (called MADM) that uses a digital microscope to detect bacteria growing directly from a patient's specimen, rather than waiting for growth in lab cultures. The innovative new method supports identification of the infecting bacteria within 2 hours of receiving a specimen. The technology also shows the effect of selected antibiotics on the bacteria including multidrug resistant bacteria so that doctors know within 6 hours from specimen collection which antibiotic kills the bacteria. This study involves collection of any excess volume of microbiology specimens after it has been determined sufficient sample is available for clinical care. All microbiological samples and results are being obtained for solely non-research purposes as part of usual care; only leftover/discarded materials from clinical or research procedures already performed will be used for this study. Samples will be tested in tandem with usual care on the new technology to test the accuracy and speed. Results obtained from the new technology will not be used in patient care or to make treatment decisions.

Interventions

None listed

Sponsors

United States Department of Defense
CollaboratorFED
Accelerate Diagnostics, Inc.
CollaboratorINDUSTRY
Connie Price
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Age ≥ 18 years old. * Microbiology culture (respiratory, blood or tissue/skin) ordered during regular clinical care.

Exclusion criteria

* Insufficient sample volume available after clinical test completed.

Design outcomes

Primary

MeasureTime frame
The proportion of concordant, accurately phenotyped positive isolates assayed by MADM versus conventional culture based microbiology as comparator.1 year

Countries

United States

Outcome results

None listed

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