Suppr超能文献

IMPACTO-MR:巴西全国性平台研究,评估重症监护病房的感染和多重耐药情况。

IMPACTO-MR: a Brazilian nationwide platform study to assess infections and multidrug resistance in intensive care units.

机构信息

Hospital Sírio-Libanês - São Paulo (SP), Brasil.

Brazilian Research in Intensive Care Network (BRICNet) - São Paulo (SP), Brasil.

出版信息

Rev Bras Ter Intensiva. 2022 Oct-Dec;34(4):418-425. doi: 10.5935/0103-507X.20220209-pt. Epub 2023 Mar 3.

Abstract

OBJECTIVE

To describe the IMPACTO-MR, a Brazilian nationwide intensive care unit platform study focused on the impact of health care-associated infections due to multidrug-resistant bacteria.

METHODS

We described the IMPACTO-MR platform, its development, criteria for intensive care unit selection, characterization of core data collection, objectives, and future research projects to be held within the platform.

RESULTS

The core data were collected using the Epimed Monitor System® and consisted of demographic data, comorbidity data, functional status, clinical scores, admission diagnosis and secondary diagnoses, laboratory, clinical, and microbiological data, and organ support during intensive care unit stay, among others. From October 2019 to December 2020, 33,983 patients from 51 intensive care units were included in the core database.

CONCLUSION

The IMPACTO-MR platform is a nationwide Brazilian intensive care unit clinical database focused on researching the impact of health care-associated infections due to multidrug-resistant bacteria. This platform provides data for individual intensive care unit development and research and multicenter observational and prospective trials.

摘要

目的

描述巴西全国重症监护病房平台研究 IMPACTO-MR,该研究主要关注与多重耐药菌相关的医源性感染的影响。

方法

我们描述了 IMPACTO-MR 平台的开发、重症监护病房选择标准、核心数据采集的特征、目标以及将在该平台内开展的未来研究项目。

结果

核心数据使用 Epimed Monitor System® 采集,包括人口统计学数据、合并症数据、功能状态、临床评分、入院诊断和次要诊断、实验室、临床和微生物学数据以及重症监护病房期间的器官支持等。从 2019 年 10 月至 2020 年 12 月,来自 51 个重症监护病房的 33983 名患者被纳入核心数据库。

结论

IMPACTO-MR 平台是一个专注于研究与多重耐药菌相关的医源性感染影响的巴西全国性重症监护病房临床数据库。该平台为单个重症监护病房的发展和研究以及多中心观察性和前瞻性试验提供了数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02dd/9987010/b98fcc858964/rbti-34-04-0418-g01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验