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临床试验/NCT04479982
NCT04479982Unknown不适用

Microbial Infections and Antimicrobial Resistance (AMR) Patterns Associated With Hospitalized Patients With 2019 Novel Coronavirus Disease (COVID 19)

Assiut University1 个研究点 分布在 1 个国家目标入组 70 人开始时间: 2020年9月24日最近更新:
适应症

试验速览

阶段
不适用
入组人数
70
试验地点
1
主要终点
Microbial infections and antimicrobial resistance (AMR) patterns associated with hospitalized patients with 2019 novel coronavirus disease (COVID 19)

研究概览

简要总结

To detect microbial infection and AMR associated with COVID 19 infection.

To correlate risk factors of COVID 19 patients with microbial infections and their effects on disease.

详细描述

The most common type of infection among ICU patients was bacterial or fungal pneumonia; bloodstream and urinary tract infections were also noted. Organisms cultured from patients included pandrug-resistant Acinetobacter baumannii, Klebsiella pneumoniae carbapenemase-producing K. pneumoniae, extended-spectrum β-lactamase (ESBL)- producing K. pneumoniae, ESBL-producing Pseudomonas aeruginosa, Enterobacter cloacae, Serratia marcescens, Aspergillus fumigatus, Aspergillus flavus, Candida albicans, and Candida glabrata .

研究设计

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

入排标准

性别
All
接受健康志愿者

入选标准

  • Patients with Covid infection

排除标准

  • Patients without covid 19

结局指标

主要结局

Microbial infections and antimicrobial resistance (AMR) patterns associated with hospitalized patients with 2019 novel coronavirus disease (COVID 19)

时间窗: baseline

The correlation between microbial infection and COVID 19 infection and their effect on prognosis and disease outcome.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

ALShymaa faheem solyman ali

assistant lecturer

Assiut University

研究点 (1)

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