- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04108910
Morbidity Rate for UTI Through Use of PCR-Based Diagnosis and Management
Reduction in Morbidity Rate for Urinary Tract Infections Through Use of PCR-Based Diagnosis and Management
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- All patients that the House Call Physician suspects the patient has a UTI and are tagged with the following codes within the medical record
Exclusion Criteria:
- Records where the NPI does not match a known provider or the office listed is not a Specific Population
- Hospice patients
- Records for which DX codes of "X" and "NoDx" where there isn't a diagnostic description.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Traditional Urine Culture
Patients treated based upon traditional urine culture
|
|
Guidance PCR/Pooled Sensitivity
Patients treated based upon multiplex UTI PCR/pooled sensitivity results
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
ER Visits and or Hospital Admission Rate within 30 days of initial visit related to UTI
Time Frame: 18 Months
|
Examine retrospective data of a House Call Patient population to determine if use of PCR, compared with conventional urine culture, leads to a reduction in UTI-related morbidity, as measured by the composite variable number of emergency room/urgent care clinic visits plus the number of admissions to hospital within 30 days of an initial presentation for UTI.
|
18 Months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Examine retrospective data to determine if use of PCR, compared with conventional urine culture, leads to a reduction in UTI-related morbidity.
Time Frame: 18 Months
|
Examine retrospective data to determine if use of PCR, compared with conventional urine culture, leads to a reduction in UTI-related morbidity:
|
18 Months
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Identify the frequency of observed polymicrobial infections
Time Frame: 18 Months
|
Identify the frequency of observed polymicrobial infections (defined as two or more simultaneous bacterial infections), as determined by PCR testing, will be estimated for the population of patients with panel-confirmed UTIs. Identify and compare the range and frequency of bacteria species detected by PCR or Traditional Culture within the population of patients. Determine if use of PCR and pooled sensitivity provides a different number of options for antibiotic treatment. Determine if specific bacteria are more commonly associated with hospital admissions. Determine if specific bacteria are more commonly associated with longer length of hospital stay. |
18 Months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Kirk Wojno, MD, Visiting Physicians Association
Publications and helpful links
General Publications
- Simmering JE, Tang F, Cavanaugh JE, Polgreen LA, Polgreen PM. The Increase in Hospitalizations for Urinary Tract Infections and the Associated Costs in the United States, 1998-2011. Open Forum Infect Dis. 2017 Feb 24;4(1):ofw281. doi: 10.1093/ofid/ofw281. eCollection 2017 Winter.
- Suskind AM, Saigal CS, Hanley JM, Lai J, Setodji CM, Clemens JQ; Urologic Diseases of America Project. Incidence and Management of Uncomplicated Recurrent Urinary Tract Infections in a National Sample of Women in the United States. Urology. 2016 Apr;90:50-5. doi: 10.1016/j.urology.2015.11.051. Epub 2016 Jan 26.
- Qiang XH, Yu TO, Li YN, Zhou LX. Prognosis Risk of Urosepsis in Critical Care Medicine: A Prospective Observational Study. Biomed Res Int. 2016;2016:9028924. doi: 10.1155/2016/9028924. Epub 2016 Feb 3.
- Gharbi M, Drysdale JH, Lishman H, Goudie R, Molokhia M, Johnson AP, Holmes AH, Aylin P. Antibiotic management of urinary tract infection in elderly patients in primary care and its association with bloodstream infections and all cause mortality: population based cohort study. BMJ. 2019 Feb 27;364:l525. doi: 10.1136/bmj.l525.
- Hsiao CY, Yang HY, Chang CH, Lin HL, Wu CY, Hsiao MC, Hung PH, Liu SH, Weng CH, Lee CC, Yen TH, Chen YC, Wu TC. Risk Factors for Development of Septic Shock in Patients with Urinary Tract Infection. Biomed Res Int. 2015;2015:717094. doi: 10.1155/2015/717094. Epub 2015 Aug 25.
- Simmering JE, Cavanaugh JE, Polgreen LA, Polgreen PM. Warmer weather as a risk factor for hospitalisations due to urinary tract infections. Epidemiol Infect. 2018 Feb;146(3):386-393. doi: 10.1017/S0950268817002965. Epub 2018 Jan 8.
- Anderson JE. Seasonality of symptomatic bacterial urinary infections in women. J Epidemiol Community Health. 1983 Dec;37(4):286-90. doi: 10.1136/jech.37.4.286.
- Kolman KB. Cystitis and Pyelonephritis: Diagnosis, Treatment, and Prevention. Prim Care. 2019 Jun;46(2):191-202. doi: 10.1016/j.pop.2019.01.001.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2019 R-VPA-HUS
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
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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