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相关概念视频

Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

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The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
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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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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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Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

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Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
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Pneumonia III: Complications and Assessment01:30

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Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
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相关实验视频

Updated: Jan 9, 2026

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
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在败血症患者中,二次感染的危险因素的诺莫格拉姆预测模型.

Jiaqi Lu1, Shuai Liu1, Jiaheng Zhang2

  • 1Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
|December 1, 2025
PubMed
概括

这项研究确定了败血症患者二次感染的关键风险因素,包括低氧和和高中性粒细胞计数. 开发了一种预测性名谱,以帮助个性化风险评估,以更好地管理患者.

关键词:
重症监护病房的重症监护病房是一个重症监护病房.这个名字是名ogramogram.预测模型 预测模型二次感染的第二次感染.这是一种血症.

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科学领域:

  • 关键护理医学 关键护理医学
  • 传染性疾病 传染性疾病
  • 生物统计学 生物统计学

背景情况:

  • 败血症是一种危及生命的器官功能障碍,是由宿主对感染的反应失调引起的.
  • 二次感染是败血症患者常见的并发症,增加了发病率和死亡率.
  • 识别风险因素和预测二次感染对于改善败血症管理至关重要.

研究的目的:

  • 调查毒症患者中二次感染的临床特征和危险因素.
  • 在重症监护室 (ICU) 开发和验证二次感染风险的预测模型 (nomogram).

主要方法:

  • 来自MIMIC-IV数据库的2247名败血症患者的回顾性分析.
  • 单变量和多变量逻辑回归以确定独立的风险因素.
  • 使用R软件构建一个名ogram,用于风险预测.

主要成果:

  • 二次感染的独立风险因素包括较低的氧和度,淋巴细胞比例减少,血小板数量减少,中性粒细胞比例增加,ICU入院后24小时内乳酸水平升高以及侵入性机械通风.
  • 通过整合这些预测因素,成功构建了一个名ogram.

结论:

  • 开发的诺米图有效地预测了败血症患者的二次感染风险.
  • 临床变量如氧和度,淋巴细胞和中性粒细胞比率,血小板计数,乳酸和机械通风对于风险分层至关重要.
  • 这种工具可以支持个性化风险评估和临床决策对于毒症患者的二次感染风险.