系统性审查发现,预测中央线路相关血流感染的模型存在偏差风险和适用性问题
Shan Gao1, Elena Albu1, Krizia Tuand2
1Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Journal of clinical epidemiology
|August 3, 2023
概括
目前没有任何预测模型有效地评估住院患者的中央线路相关血流感染 (CLA-BSI) 风险. 对临床适用的CLA-BSI预测工具需要进一步开发.
科学领域:
- 医疗保健研究的研究.
- 临床预测建模临床预测建模
- 传染病流行病学 传染病流行病学
背景情况:
- 中央线路相关的血液感染 (CLA-BSI) 对住院患者构成重大风险.
- 准确的预测模型对于及时干预和预防策略至关重要.
研究的目的:
- 系统地审查CLA-BSI现有预测模型的偏差风险和适用性.
- 确定当前CLA-BSI预测模型开发和临床实用性的差距.
主要方法:
- 在2023年7月之前对四个主要数据库进行系统文献审查.
- 使用CHARMS和PROBAST工具对19个预测模型的评估.
- 专注于对CLA-BSI风险的回归和机器学习模型.
主要成果:
- 所有19个评估的模型都表现出高偏差风险.
- 常见的问题包括不适当的结果,不可用的预测因素,小样本大小和缺乏验证.
- 在19个模型中,有18个模型对适用性存在很大的担忧,这阻碍了临床使用.
结论:
- 目前没有一种CLA-BSI的预测模型适合临床应用.
- 迫切需要为CLA-BSI开发可靠和适用的预测模型.
相关概念视频
Factors Affecting the Risk of Infection
12.0K
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...
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...
12.0K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
148
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
148
Healthcare Associated Infections II: Preventive Measures
2.7K
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...
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.7K
Bias in Epidemiological Studies
353
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
353
Methods of Documentation VI: Case Management Model
598
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
598
Bias
4.3K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.3K


