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相关概念视频

Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic01:26

Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic

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Healthcare-associated infections (HAIs) occur in a healthcare facility while a person receives care for another ailment. This category also includes work-related infections among healthcare staff.
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
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Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
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Enzyme-Linked Immunosorbent Assay01:33

Enzyme-Linked Immunosorbent Assay

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In 1971, Peter Perlman and Eva Engvall developed an Enzyme-linked immunosorbent assay (ELISA or EIA). ELISA differs from western blot in that the assays are conducted in microtiter plates or in vivo rather than on an absorbent membrane.
There are many different types of ELISAs, but they all involve an antibody molecule whose constant region binds an enzyme, leaving the variable region free to bind its specific antigen.  Enzyme-substrate reaction allows the antigen to be visualized or...
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相关实验视频

Updated: Sep 15, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
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A Data-Driven Approach to Quantifying Immune States in Sepsis

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在基于MIMIC-IV的研究中使用ICD代码识别败血症的担忧.

Guangdong Wang1, Yaxin Zhang2

  • 1Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shanxi, China.

Journal of translational medicine
|July 16, 2025
PubMed
概括

这项研究建议在研究中使用败血症-3.0标准来更准确地诊断败血症. 应用这些标准可以提高患者队列的定义和心房动研究的临床相关性.

科学领域:

  • 关键护理医学 关键护理医学
  • 心脏病学 心脏病学
  • 医疗信息学 医疗信息学

背景情况:

  • 研究中的败血症诊断可以得到改进.
  • 在数据库中定义败血症的现有方法可能缺乏精度.

研究的目的:

  • 为研究界定败血症提出败血症-3.0标准.
  • 提高分析败血症患者心房动的研究的准确性和临床相关性.

主要方法:

  • 批评ICD-9/ICD-10对败血症的编码定义.
  • 建议采用包括SOFA评分和感染证据在内的败血症-3.0标准.
  • 在MIMIC-IV数据库中利用衍生的Sepsis-3.0表.

主要成果:

  • 与Sepsis-3.0.0相比,ICD-9/ICD-10代码对于败血症诊断可能不那么准确.
  • 败血症-3.0标准为队列定义提供了更精确的方法.
  • 使用Sepsis-3.0可以提高发现的临床相关性.

结论:

  • 败血症-3.0标准为研究中的败血症提供了更为可靠的定义.

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  • 未来的研究应该采用Sepsis-3.0以提高准确性.
  • 使用Sepsis-3.0的敏感性分析可以提高研究结果的可靠性.