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Diagnosis of Subclinical Urinary Tract Infections Using Advanced Microbiome Survey Techniques in High Risk Trauma Patients

Diagnosis of Subclinical Urinary Tract Infections Using Advanced Microbiome Survey Techniques in High Risk Trauma Patients

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01834391
Enrollment
129
Registered
2013-04-17
Start date
2013-03-31
Completion date
2015-09-30
Last updated
2016-04-28

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

Conditions

Urinary Tract Infection

Brief summary

The purpose of this study is to see if the investigators can identify early those patients who are admitted to the hospital and have a urinary tract infection (UTI) or those patients that develop a UTI during their hospitalization.

Interventions

None listed

Sponsors

J. Craig Venter Institute
CollaboratorOTHER
Mayo Clinic
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* 65 years old or older admitted as a result of trauma to Saint Marys Hospital at Mayo Clinic

Exclusion criteria

* Prisoners * Pregnancy * Active urinary tract stones * Less than 65 years of age

Design outcomes

Primary

MeasureTime frameDescription
Identify of bacteria, genes and proteins that are highly predictive of UTI developmentNine monthsTo identify which bacteria, genes and proteins will be highly predictive of UTI development in geriatric trauma patients. We hypothesize that the combination of 16S rDNA and metaproteomics will identify the most informative biosignatures (species/genes/proteins) discerning UTI from asymptomatic bacteriuria.

Secondary

MeasureTime frame
Biomarker candidates for UTIs recalcitrant to antibiotic treatment.Nine months
Morbidity9 months
Mortality9 months

Countries

United States

Outcome results

None listed

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