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临床试验/NCT05591911
NCT05591911已完成不适用

Urine Gene Analysis for Pathogen Detection, and Resistance Gene Identification for the Urinary Tract Infection Diagnosis

David Sheyn1 个研究点 分布在 1 个国家目标入组 96 人开始时间: 2023年6月25日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
96
试验地点
1
主要终点
Time in hours from patient presentation to optimal antibiotic prescription

研究概览

简要总结

The objective of this study is the detection, quantification, and resistance gene identification of pathogens by using the urine of patients with urinary tract infection (UTI) symptoms.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
60 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adult men and women 60 years and older who have urinary tract infection
  • Can participate in the informed consent process
  • Presenting to the clinic with symptoms of UTI or cystitis with no recent history of UTI within the past 21 days
  • Able to provide sufficient urine sample volume via clean catch or catheterization for urinalysis, conventional urine culture, and PCR
  • Understand and are willing to comply with the study requirements.
  • Sample collection able to be sent out the same day via courier

排除标准

  • Individuals under 60 years of age
  • Unable to provide informed consent
  • Urinary diversion of any type
  • Chronic indwelling urinary catheter
  • No recent history of UTI within the past 21 days
  • No antibiotic therapy within the past 21 days
  • No recent therapy with Phenazopyridine

结局指标

主要结局

Time in hours from patient presentation to optimal antibiotic prescription

时间窗: Up to 30 days

Time in hours from patient presentation to optimal antibiotic prescription will be evaluated both for urine culture and urine PCR panel utilization.

次要结局

  • Number of patients with antibiotic change as measured by prescription records(Up to 30 days)
  • Number of hospitalization related to UTI as measured by patients reports/medical records(Up to 30 days)
  • Number of additional diagnostic procedures completed in relation to UTI as measured by patients reports/medical records(Up to 30 days)
  • Antibiotic costs as measured by prescription records(Up to 30 days)
  • Number of any HCP visits for same issue as measured by patients reports/medical records(Up to 30 days)
  • Duration of antibiotic usage as measured by prescription records(Up to 30 days)

研究者

发起方
David Sheyn
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

David Sheyn

Associate Professor

University Hospitals Cleveland Medical Center

研究点 (1)

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