相关实验视频
Updated: Feb 13, 2026

09:09
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
2.3K
外部药理动力学模型对患有心脏病的重症新生儿的咖啡因评估,使用从实用平台试验中收集的数据
Courtney Hallock1,2,3, Annalisa Hawk1,2,3, Calla Castro1,3
1Duke Clinical Research Institute (CH,* AH,* CC,* JD,* ALS,* RS,* HPF, DKB Jr, VEH, DG, KOZ, CPH, EJT), Durham, NC.
概括
对患有先天性心脏病的新生儿中咖啡因的儿科人口药动力学模型的外部评估是成功的. 实用平台试验对于儿科药物开发和剂量优化有价值.
科学领域:
- 儿科药理学 儿科药理学
- 制药指标 (Pharmacometrics) 是一个指标.
- 临床试验设计 临床试验设计
背景情况:
- 种群药动力学 (PopPK) 模型对于药物开发至关重要,但对于儿科种群,外部验证往往缺乏.
- 新生儿的先天性心脏病 (CHD) 可以改变药物药理动力学,需要对特定的模型进行评估.
- 实用平台试验提供了一个可行的方法来收集现实世界的数据用于模型验证.
研究的目的:
- 通过外部评估先前开发的PopPK模型,对患有心脏病的新生儿的咖啡因进行评估.
- 用实用平台试验数据评估模型的预测性能.
- 为了比较患有心脏病的新生儿和没有心脏病的早产婴儿的咖啡因暴露.
主要方法:
- 在实用平台试验中接受咖啡因的患有心脏病的新生儿的未来招生.
- 收集机会性或采集的药物动力学样本.
- 使用预测误差,绝对预测误差和预测值在20%和30% (F20,F30) 内的比例等指标评估模型预测性能.
- 使用了预测纠正的视觉预测检查和规范预测分布错误.
- 进行了剂量模拟,以匹配早产婴儿的暴露.
主要成果:
- 14名新生儿贡献了37个药理动力学样本.
- 波普克模型显示了强大的定量预测性能 (MPE -1.3%,MAPE 13.3%,F20 79%,F30 88%).
- 剂量模拟表明,与早产婴儿相比,患有心脏病的新生儿的咖啡因暴露率较低,特别是在心肺绕道术后.
结论:
- 使用实用平台试验数据对儿科PopPK咖啡因模型的外部验证是成功的.
- 实用平台试验对于儿科模型开发和评估是有效的.
- 研究结果支持使用此类试验来为未来儿科药物研究提供起始剂量信息,承认人口特异性的变化.
相关概念视频
Model Approaches for Pharmacokinetic Data: Compartment Models
578
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
578
Model Approaches for Pharmacokinetic Data: Physiological Models
281
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
281
Data Collection II
10.2K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
10.2K
Data Collection I
8.6K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
8.6K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
250
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
250
Data Collection by Experiments
27.6K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
An example of the experimental method is a public...
27.6K

