成年患者患有周围假肢关节感染的万科米辛最低度:基于机器学习的共变模型
Yue-Wen Chen1,2, Xi-Kai Lin3, Chen Huang1,2
1Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
British journal of clinical pharmacology
|June 7, 2024
概括
这项研究开发了一种机器学习模型,用于预测患有周围假肢关节感染的成年患者的万科米辛水平. 该模型使用估计的膜过率和万科米辛每日剂量,显示了临床剂量的实际价值.
科学领域:
- 药理动力学和药理动力学
- 机器学习在医学中的应用
- 传染病治疗方法 传染病治疗方法
背景情况:
- 个性化的万科米辛剂量对于周围假肢关节感染 (PJI) 管理至关重要.
- 现有的基于模型的方法用于PJI中的万科米辛的管理是有限的.
- 准确预测万科米辛的最低度对于优化治疗疗效和最大限度地降低毒性至关重要.
研究的目的:
- 开发和验证一种基于机器学习 (ML) 的模型,用于预测成人PJI患者的万科米辛 (VCM) 最低度.
- 确定影响VCM最低度的关键临床参数.
- 评估ML模型在PJI中指导VCM剂量的实际实用性.
主要方法:
- 从130名成年PJI患者的287个VCM最低度的数据集被利用.
- 数据被分为培训 (80%) 和测试 (20%) 集,以及独立的外部验证集.
- 使用支持向量回归,随机森林回归和梯度增强回归树,并使用SHAP进行解释.
主要成果:
- 随机森林回归成为最佳的ML算法.
- 估计的膜过率和VCM每日剂量被确定为最重要的预测因素.
- 该模型实现了82.8%的相对精度,并在验证集中表现出强大的性能.
结论:
- 开发的基于ML的模型准确地预测了成人PJI患者的VCM最低度.
- 该模型仅依赖两个临床参数 (eGFR和VCM每日剂量) 提高了其临床适用性.
- 预测准确性的SHAP值合理化强调了该模型在优化VCM治疗方面具有重要的实际价值.
相关概念视频
Factors Affecting the Risk of Infection
11.8K
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...
11.8K
One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance
72
Clearance is a key pharmacokinetic parameter that quantifies the volume of body fluid from which a drug is entirely removed within a specific time frame. It is crucial in assessing how a drug is eliminated from the body and has critical clinical applications.
In the one-compartment open model for intravenous (IV) bolus administration, clearance is estimated by dividing the elimination rate by the plasma drug concentration. This equation leverages the elimination rate constant and the apparent...
In the one-compartment open model for intravenous (IV) bolus administration, clearance is estimated by dividing the elimination rate by the plasma drug concentration. This equation leverages the elimination rate constant and the apparent...
72
Healthcare Associated Infections II: Preventive Measures
2.6K
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...
2.6K
Two-Compartment Open Model: IV Infusion
222
A two-compartment model is a vital tool in pharmacokinetics, providing an essential understanding of drug behavior, especially for those administered via zero-order intravenous infusion. This model outlines two compartments: the central compartment, where elimination occurs, and the peripheral compartment.
The model illustrates the decrease in plasma drug concentration from the central compartment with a specific equation. It shows that under steady-state conditions, the drug's input rate...
The model illustrates the decrease in plasma drug concentration from the central compartment with a specific equation. It shows that under steady-state conditions, the drug's input rate...
222
Two-Compartment Open Model: Extravascular Administration
180
The two-compartment model for extravascular administration represents a drug's absorption and distribution process. It features a central compartment, where the drug is first absorbed, and a peripheral compartment, which illustrates the drug's distribution throughout the body. The rate of change in drug concentration in the central compartment is calculated by three exponents: absorption, distribution, and elimination.
The absorption exponent (ka) indicates the speed at which the drug...
The absorption exponent (ka) indicates the speed at which the drug...
180
Pharmacokinetic Models: Overview
653
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
653


