NCT01834391已完成不适用
Diagnosis of Subclinical Urinary Tract Infections Using Advanced Microbiome Survey Techniques in High Risk Trauma Patients
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- Mayo Clinic
- 入组人数
- 129
- 试验地点
- 1
- 主要终点
- Identify of bacteria, genes and proteins that are highly predictive of UTI development
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •65 years old or older admitted as a result of trauma to Saint Marys Hospital at Mayo Clinic
排除标准
- •Prisoners
- •Pregnancy
- •Active urinary tract stones
- •Less than 65 years of age
结局指标
主要结局
Identify of bacteria, genes and proteins that are highly predictive of UTI development
时间窗: Nine months
To 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.
次要结局
- Biomarker candidates for UTIs recalcitrant to antibiotic treatment.(Nine months)
- Morbidity(9 months)
- Mortality(9 months)
研究者
Martin D. Zielinski
Assistant Professor of Surgery
Mayo Clinic
研究点 (1)
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